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Office of Scientific and Technical Information
Biofuel Enduse Datasets from the Bioenergy Knowledge Discovery Framework (KDF)
DOE Data Explorer (OSTI)
The Bioenergy Knowledge Discovery Framework invites users to discover the power of bioenergy through an interface that provides extensive access to research data and literature, GIS mapping tools, and collaborative networks. The Bioenergy KDF supports efforts to develop a robust and sustainable bioenergy industry. The KDF facilitates informed decision making by providing a means to synthesize, analyze, and visualize vast amounts of information in a relevant and succinct manner. It harnesses Web 2.0 and social networking technologies to build a collective knowledge system that can better examine the economic and environmental impacts of development options for biomass feedstock production, biorefineries, and related infrastructure. [copied from https://www.bioenergykdf.net/content/about]
Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals� data uploads. Currently the Biofuel Enduse collection includes 133 items. Most of these are categorized as literature, but 36 are listed as datasets and ten as models.
Feedstock Logistics Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)
Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals� data uploads. Currently the Feedstock Logistics collection includes 38 items or links, of which eight are datasets.
Biofuel Production Datasets from DOE's Bioenergy Knowledge Discovery Framework (KDF)
Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals� data uploads. Currently the Biofuel Production collection includes 100 items. Most of these are categorized as literature, but six datasets and 16 models are listed.
Supercomputing | Knowledge Discovery | ORNL
NLE Websites -- All DOE Office Websites (Extended Search)
that provide a significant advancement in automating the knowledge discovery process. We research and apply methods to efficiently provide comprehensive, accurate,...
Mobile Applications Streaming/Real-time Data Data System Architectures for National Security Sensor Networks Visual Analytics Risk Analysis Materials Mathematics National Security Systems Modeling Engineering Analysis Behavioral Sciences Geographic Information Science and Technology Quantum Information Science Supercomputing and Computation Home | Science & Discovery | Supercomputing and Computation | Research Areas | Knowledge Discovery SHARE Knowledge Discovery The national level grand challenge in Computer Science is the ability to acquire, reduce, analyze and extract meaning from massive amounts of data. ORNL is studying methods for the discovery of "hidden laws and processes" underlying observable behaviors in complex systems. ORNL researchers are
Knowledge transfer frameworks
Science Conference Proceedings (OSTI)
While theories abound concerning knowledge transfer in organisations, little empirical work has been undertaken to assess any possible relationship between repositories of knowledge and those responsible for the use of knowledge. This paper develops ... Keywords: hybrid approach, knowledge administration, knowledge management, knowledge storage, knowledge transfer framework
Sajjad M Jasimuddin; Nigel Connell; Jonathan H Klein
A Framework for Bioelectronics: Discovery and Innovation
A Framework for Bioelectronics: Discovery and Innovation. There is an opportunity for dramatically increased synergy between ...
Knowledge Discovery for Counterterrorism and Law Enforcement, 1 edition
Most of the research aimed at counterterrorism, fraud detection, or other forensic applications assumes that this is a specialized application domain for mainstream knowledge discovery. Unfortunately, knowledge discovery changes completely when the datasets ...
David Skillicorn
A Scalable Framework for Cyber Attack Discovery and Situational...
Scalable Framework for Cyber Attack Discovery and Situational Understanding (SITU) May 15, 2013 Problem Statement: Cyber attacks cost commercial and governmental organizations vast...
A hierarchical systems knowledge representation framework
E-Print Network (OSTI)
We present the design and implementation of a framework for storing and analysing knowledge about engineering systems. The hierarchical entity-relation-attribute model is useful for large data sets, in which it can abstract ...
Sylvester, Igor Andrade
Knowledge discovery by an intelligent approach using complex fuzzy sets
In the age of rapidly increasing volumes of data, human experts have come to the urgent need to extract useful information from the huge amount of data. Knowldege discovery in databases has obtained much attention for researches and applications in business ... Keywords: artificial bee colony (ABC), complex fuzzy set (CFS), complex neuro-fuzzy system (CNFS), knowledge discovery, recursive least squares estimator (RLSE)
Chunshien Li; Feng-Tse Chan
Knowledge Discovery from Sensor Data for Security Applications
Evolving threat situations in a post 9/11 world demand faster and more reliable decisions to thwart the adversary. One critical path to enhanced threat cognizance is through online knowledge discovery based on dynamic, heterogeneous data available from strategically placed wide-area sensor networks. The knowledge discovery process needs to coordinate adaptive predictive analysis with real-time analysis and decision support systems. The ability to detect precursors and signatures of rare events and change from massive and disparate data in real-time may require a paradigm shift in the science of knowledge discovery. This chapter describes a case study in the area of transportation security to describe both the key challenges, as well as the possible solution strategies, in this high-priority area. A suite of knowledge discovery tools developed for the purpose is described along with a discussion on future requirements.
Ganguly, Auroop R [ORNL; Omitaomu, Olufemi A [ORNL; Walker, Randy M [ORNL
A survey of Knowledge Discovery and Data Mining process models
Knowledge Discovery and Data Mining is a very dynamic research and development area that is reaching maturity. As such, it requires stable and well-defined foundations, which are well understood and popularized throughout the community. This survey presents ...
Lukasz A. Kurgan; Petr Musilek
Raptor: An Enterprise Knowledge Discovery Engine
MS OCS, Office, Search, and SharePoint directories and files that form a knowledge management platform, as well as Wikis, tag clouds, and other ...
Knowledge Discovery, Knowledge Management and Enterprise-Wide Information Technology Tools Final Report
SciTech Connect
A final report on an ORNL task to establish a knowledge discovery and management tool to retrieve and recommend information from existing S&T documents for the Office of Naval Research Global.
Patton, Robert M [ORNL; Symons, Christopher T [ORNL; Gorman, Bryan L [ORNL; Treadwell, Jim N [ORNL
Collaborative Knowledge Discovery & Marshalling for Intelligence & Security Applications
This paper discusses the Knowledge Encapsulation Framework, a flexible, extensible evidence-marshalling environment built upon a natural language processing pipeline and exposed to users via an open-source semantic wiki. We focus our discussion on applications of the framework to intelligence and security applications, specifically, an instantiation of the KEF environment for researching illicit trafficking in nuclear materials.
Cowell, Andrew J.; Jensen, Russell S.; Gregory, Michelle L.; Ellis, Peter C.; Fligg, Alan K.; McGrath, Liam R.; O'Hara, Kelly A.; Bell, Eric B.
Data analysis, visualization and knowledge discovery in sustainable data centers
A significant amount of energy consumption is now attributed to data centers due to their ever increasing numbers, size and power densities. Thus, there are efforts focused at making a data center more sustainable by reducing its energy consumption and ... Keywords: compute, cooling, data analysis, data centers, knowledge discovery, power, sustainability, visualization
Manish Marwah; Ratnesh Sharma; Rocky Shih; Chandrakant Patel; Vaibhav Bhatia; Mohandas Mekanapurath; Rajkumar Velumani; Sankaragopal Velayudhan
A novel knowledge discovery model for fishery forecasting
In the area of ocean fisheries research, a new research interest is to use marine environment factors for fishery forecasting. This paper proposes a novel knowledge discovery model for fishery forecasting that uses the Indian Ocean big-eye tuna fishery ... Keywords: extension data mining, fishery forecasting, fuzzy rules, support vector machines
Hongchun Yuan; Ying Li; Ying Chen
Knowledge discovery in inspection reports of marine structures
Inspection reports, commonly called ''punches'' in the marine structuring domain, are written documents about defects or supplementations on marine structures. Analyzing the inspection reports improves the construction process for the structure and prevents ... Keywords: Inspection process, Knowledge Discovery in Textual Databases, Shipbuilding and marine engineering industry, Text mining
Seung-Kyung Lee, Bongseok Kim, Minhoe Huh, Jooseoung Park, Seokho Kang, Sungzoon Cho, Dongha Lee, Daehyung Lee
M.: An Ontology-Based Framework for Representing Organizational Knowledge
Abstract: This paper describes an ontology-based organizational knowledge representation framework focused on the specification of a two kinds of ontologies: the top level ontology containing concepts characterizing the typical organizational background and COKE ontologies representing so called core organizational knowledge entities. The framework constitutes an abstract representation of organizational knowledge providing a semantic support for designing knowledge management infrastructure able to interoperate with systems already existing in an organization. Moreover, the annotation of COKE w.r.t. the top level ontology allowed by the framework facilitates their semi-automatic handling, retrieval and evolution monitoring.
Andrea Gualtieri; Massimo Ruffolo
Design Principles for Effective Knowledge Discovery from Big Data
Big data phenomenon refers to the practice of collection and processing of very large data sets and associated systems and algorithms used to analyze these massive datasets. Architectures for big data usually range across multiple machines and clusters, and they commonly consist of multiple special purpose sub-systems. Coupled with the knowledge discovery process, big data movement offers many unique opportunities for organizations to benefit (with respect to new insights, business optimizations, etc.). However, due to the difficulty of analyzing such large datasets, big data presents unique systems engineering and architectural challenges. In this paper, we present three sys- tem design principles that can inform organizations on effective analytic and data collection processes, system organization, and data dissemination practices. The principles presented derive from our own research and development experiences with big data problems from various federal agencies, and we illustrate each principle with our own experiences and recommendations.
Begoli, Edmon [ORNL; Horey, James L [ORNL
Mining ontological knowledge using Nyaya framework
Ontology has become the buzzword of the knowledge and semantics community. The process of automatically constructing an ontology with completeness and reduced time has become the need of the hour. This paper presents the method for automatically constructing ... Keywords: India, NLP, Nyaya Sastra, WordNet, categories, concepts, internet, natural language processing, networks, nontaxonomical relations, online organisations, ontological knowledge, ontology, open source intelligence, philosophy, semantics, semi-supervised learning, taxonomical relations, taxonomies, virtual organisations, web based organisations, web documents, web mining, world wide web
D. Judia Salome; Ranjani Parthasarathi
Search Method for Real-time Knowledge Discovery Modeled on the ...
Search Method for Real-time Knowledge Discovery Modeled on the Human Brain Oak Ridge National Laboratory. Contact ORNL About This Technology
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
It is our great pleasure to welcome you to the 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). The annual ACM SIGKDD conference is the premier international forum for data mining, knowledge discovery and big data. It brings together ...
Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy
Data guided approach to generate multi-dimensional schema for targeted knowledge discovery
Data mining and data warehousing are two key technologies which have made significant contributions to the field of knowledge discovery in a variety of domains. More recently, the integrated use of traditional data mining techniques such as clustering ... Keywords: data mining, data warehousing, knowledge discovery, schema generation
Muhammad Usman, Russel Pears, A. C. M. Fong
Knowledge Discovery and Data Mining (KDDM) survey report.
The large number of government and industry activities supporting the Unit of Action (UA), with attendant documents, reports and briefings, can overwhelm decision-makers with an overabundance of information that hampers the ability to make quick decisions often resulting in a form of gridlock. In particular, the large and rapidly increasing amounts of data and data formats stored on UA Advanced Collaborative Environment (ACE) servers has led to the realization that it has become impractical and even impossible to perform manual analysis leading to timely decisions. UA Program Management (PM UA) has recognized the need to implement a Decision Support System (DSS) on UA ACE. The objective of this document is to research the commercial Knowledge Discovery and Data Mining (KDDM) market and publish the results in a survey. Furthermore, a ranking mechanism based on UA ACE-specific criteria has been developed and applied to a representative set of commercially available KDDM solutions. In addition, an overview of four R&D areas identified as critical to the implementation of DSS on ACE is provided. Finally, a comprehensive database containing detailed information on surveyed KDDM tools has been developed and is available upon customer request.
Phillips, Laurence R.; Jordan, Danyelle N.; Bauer, Travis L.; Elmore, Mark T. (Oak Ridge National Laboratory, Oak Ridge, TN); Treadwell, Jim N. (Oak Ridge National Laboratory, Oak Ridge, TN); Homan, Rossitza A.; Chapman, Leon Darrel; Spires, Shannon V.
Biofuel Distribution Datasets from the Bioenergy Knowledge Discovery Framework
Holdings include datasets, models, and maps. This is a very new resource, but the collections will grow due to both DOE contributions and individuals data uploads. Currently the Biofuel Distribution collection includes 59 items, of which 21 are listed as datasets and five as models.
A survey on resource discovery mechanisms, peer-to-peer and service discovery frameworks
Service and resource discovery has become an integral part of modern networked systems. In this survey we give an overview of the existing solutions for service and resource discovery for a wide variety of network types. We cover techniques used in existing ... Keywords: Ad hoc networks, BitTorrent, Bonjour, Bootstrapping, CAN, Chord, DHT, FastTrack, Freenet, Gnutella, Heterogeneous networks, Jini, KaZaA, Kademlia, Napster, Overlay networks, Pastry, Peer-to-peer networks, Resource constrained networks, SLP, Salutation, Search, Service and resource discovery, Survey, Types of clustering, UPnP, Ubiquitous computing, Viceroy, Wireless networks, Wireless sensor networks, eDonkey
Elena Meshkova; Janne Riihij�rvi; Marina Petrova; Petri M�h�nen
ORNL 2011-G00262/jcn UT-B ID 200601732 08.2011 Search Method for Real-time Knowledge Discovery Modeled on the Human Brain Technology Summary A new ...
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
It is our great pleasure to welcome you to the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining -- KDD'05. The KDD conferences provide a forum for novel research results and interesting applications in ...
Robert Grossman; Roberto Bayardo; Kristin Bennett
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
This volume serves as the written record of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-06) held in Philadelphia, Pennsylvania on August 20- 23, 2006. The KDD conference provides a forum for novel research ...
Lyle Ungar; Mark Craven; Dimitrios Gunopulos; Tina Eliassi-Rad
Taxonomic knowledge structure discovery from imagery-based data using the neural associative incremental learning (NAIL) algorithm
An important component of higher level fusion is knowledge discovery. One form of knowledge is a set of relationships between concepts. This paper addresses the automated discovery of ontological knowledge representations such as taxonomies/thesauri ... Keywords: Associative learning, Incremental learning, Information fusion, Knowledge structure, Multi-target classification, Ontology learning, Taxonomy
Bradley J. Rhodes
Data Mining of Coal Mining Gas Time Series and Knowledge Discovery
Use the data mining techniques to discover the regularity knowledge from the gas sensor monitoring history database is very important approach for the supervisors to identify the reason causing the exceptional fluctuation automatically and make the correct ... Keywords: data mining, time series, clustering, shape measure, knowledge discovery
Shisong Zhu; Yunjia Wang; Lifang Kong
Velo: A Knowledge Management Framework for Modeling and Simulation
Modern scientific enterprises are inherently knowledge-intensive. Scientific studies in domains such as geosciences, climate, and biology require the acquisition and manipulation of large amounts of experimental and field data to create inputs for large-scale computational simulations. The results of these simulations are then analyzed, leading to refinements of inputs and models and additional simulations. The results of this process must be managed and archived to provide justifications for regulatory decisions and publications that are based on the models. In this paper we introduce our Velo framework that is designed as a reusable, domain independent knowledge management infrastructure for modeling and simulation. Velo leverages, integrates and extends open source collaborative and content management technologies to create a scalable and flexible core platform that can be tailored to specific scientific domains. We describe the architecture of Velo for managing and associating the various types of data that are used and created in modeling and simulation projects, as well as the framework for integrating domain-specific tools. To demonstrate realizations of Velo, we describe examples from two deployed sites for carbon sequestration and climate modeling. These provide concrete example of the inherent extensibility and utility of our approach.
Gorton, Ian; Sivaramakrishnan, Chandrika; Black, Gary D.; White, Signe K.; Purohit, Sumit; Lansing, Carina S.; Madison, Michael C.; Schuchardt, Karen L.; Liu, Yan
Business Intelligence Explorer: A knowledge map framework for discovering business intelligence on the Web
Nowadays, information overload hinders the discovery of business intelligence on the World Wide Web. Existing business intelligence tools suffer from a lack of analysis and visualization capabilities and traditional result list display by search engines often overwhelms business analysts with irrelevant information. Thus, developing tools that enable better analysis while reduce information overload has been a challenge. The literature show that hierarchical and map displays enable effective access and browsing of information. However, they have not been widely applied to discover business intelligence on the Web. This research proposes Business Intelligence Explorer, a tool implementing the steps in a knowledge map framework for discovering business intelligence on the Web. Two browsing methods, namely, Web community and knowledge map, have been implemented. Web community uses a genetic algorithm to organize different Web sites into a hierarchical format. Knowledge map uses a multidimensional scaling algorithm to place different Web sites as points on a map. Preliminary results of our user study show that Web community helps users locate results quickly and effectively. Users liked the intuitive map display of knowledge map. Our Business Intelligence Explorer contributes to alleviate information overload in business analysis. Future directions on applying document visualization techniques in discovering business intelligence are described.
Wingyan Chung; Hsinchun Chen; Jay F. Nunamaker
Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
We welcome you to the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08) being held in Las Vegas, Nevada, USA, on August 24 - 27, 2008. We are pleased to present the proceedings of the conference as ...
Ying Li; Bing Liu; Sunita Sarawagi
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
KDD-2004, the Tenth ACM SIGMOD International Conference on Knowledge Discovery and Data Mining, is being held in Seattle, Washington, U.S.A., on August 22-25, 2004, with an optional day trip to Rainier National Park on August 26. KDD provides a forum ...
Won Kim; Ronny Kohavi; Johannes Gehrke; William DuMouchel
Metal Organic Framework Research: High Throughput Discovery of Robust Metal Organic Framework for CO2 Capture
IMPACCT Project: LBNL is developing a method for identifying the best metal organic frameworks for use in capturing CO2 from the flue gas of coal-fired power plants. Metal organic frameworks are porous, crystalline compounds that, based on their chemical structure, vary considerably in terms of their capacity to grab hold of passing CO2 molecules and their ability to withstand the harsh conditions found in the gas exhaust of coal-fired power plants. Owing primarily to their high tunability, metal organic frameworks can have an incredibly wide range of different chemical and physical properties, so identifying the best to use for CO2 capture and storage can be a difficult task. LBNL uses high-throughput instrumentation to analyze nearly 100 materials at a time, screening them for the characteristics that optimize their ability to selectively adsorb CO2 from coal exhaust. Their work will identify the most promising frameworks and accelerate their large-scale commercial development to benefit further research into reducing the cost of CO2 capture and storage.
Knowledge-centric and language independent framework for safety analysis tools
This paper presents a knowledge-centric and language independent framework and its application to develop safety analysis tools for avionics systems. A knowledge-centric approach is important to address domain-specific needs, with respect to the types ...
S. C. Kothari; Luke Bishop; Jeremias Sauceda; Gary Daugherty
Knowledge management framework for the collaborative distribution of information
The management of multimedia documents, which includes storage, indexing, query optimization, and distribution, requires very strong frameworks and policies in order to ensure its efficiency and reliability There has been much work done in the fields ...
J�r�me Godard; Fr�d�ric Andr�s; William Grosky; Kinji Ono
Reference metadata extraction using a hierarchical knowledge representation framework
Available online 28 September 2006 Abstract The integration of bibliographical information on scholarly The integration of bibliographical information on scholarly publications available on the Internet is an important framework that extracts important concepts from natural language texts [23,24]. As a general representation
Chu, Hao-hua
A framework for knowledge-based team training
Teamwork is crucial to many disciplines, from activities such as organized sports to economic and military organizations. Team training is difficult and as yet there are few automated tools to assist in the training task. As with the training of individuals, effective training depends upon practice and proper training protocols. In this research, we defined a team training framework for constructing team training systems in domains involving command and control teams. This team training framework provides an underlying model of teamwork and programming interfaces to provide services that ease the construction of team training systems. Also, the framework enables experimentation with training protocols and coaching to be conducted more readily, as team training systems incorporating new protocols or coaching capabilities can be more easily built. For this framework (called CAST-ITT) we developed an underlying intelligent agent architecture known as CAST (Collaborative Agents Simulating Teamwork). CAST provides the underlying model of teamwork and agents to simulate virtual team members. CAST-ITT (Intelligent Team Trainer) uses CAST to also monitor trainees, and support performance assessment and coaching for the purposes of evaluating the performance of a trainee as a member of a team. CAST includes a language for describing teamwork called MALLET (Multi-Agent Logic Language for Encoding Teamwork). MALLET allows us to codify the behaviors of team members (both as virtual agents and as trainees) for use by CAST. In demonstrating CAST-ITT through an implemented team training system called TWP-DDD we have shown that a team training system can be built that uses the framework (CAST-ITT) and has good performance and can be used for achieving real world training objectives.
Miller, Michael Scott
DIALOG: A framework for modeling, analysis and reuse of digital forensic knowledge
This paper presents DIALOG (Digital Investigation Ontology); a framework for the management, reuse, and analysis of Digital Investigation knowledge. DIALOG provides a general, application independent vocabulary that can be used to describe an investigation ... Keywords: Digital, Investigation, Ontology, Registry, Windows
Damir Kahvedi?; Tahar Kechadi
Group Knowledge Networks: A Framework and an Implementation
Recent strides in computing and telecommunications have provided managers with access to ever increasing amounts of data through higher speed computers and extensive connectivity. However, these advances have not solved the problems of getting the right ... Keywords: concurrent engineering, knowledge networks, new product development
Ramesh Sharda; Gary L. Frankwick; Ozgur Turetken
Visualization Development Environments 2000 Proceedings Interaction Tools to Support Knowledge Discovery
Discovery: A Case Study Using Data Explorer and Tcl/Tk Ray Masters1 Center for Academic Computing environment utilizing Data Explorer as the core tool and Tcl/Tk for the development of customized interactors, 2. 3D scatterplots, and 3. Parallel coordinate plots. Tcl/Tk offers the ability to prototype rapidly
Klippel, Alexander
Knowledge-based Scienti c Discovery in Geological Databases Cen Li and Gautam Biswas
is be- coming crucial in oil exploration and production. It is common knowledge in the oil industry estimates of oil and gas reserves ?" In qualitative terms, good recoverable reserves have high hydrocarbon from oil elds in the Alaska Basin. Preliminary results demonstrate the e ectiveness of this method
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
The KDD conference has seen remarkable growth since its origins as an IJCAI workshop in Detroit in 1989, evolving into a full-fledged research conference in 1995, underscoring the important role data mining as a field has played in extracting knowledge ...
Qiang Yang; Deepak Agarwal; Jian Pei
Methodological Review: Text mining for traditional Chinese medical knowledge discovery: A survey
Extracting meaningful information and knowledge from free text is the subject of considerable research interest in the machine learning and data mining fields. Text data mining (or text mining) has become one of the most active research sub-fields in ... Keywords: Review, Text mining, Traditional Chinese medicine
Xuezhong Zhou; Yonghong Peng; Baoyan Liu
A Conceptual Framework for Effective Knowledge Management Using Information and Communication Technologies
This paper investigates the role of information and communication technologies in enabling and facilitating the conversion of knowledge objects in knowledge management and explores how these roles might be affected in an organization. Such an investigation ... Keywords: Data, Information and Communication Technologies, Knowledge, Knowledge Management, Knowledge Objects, Organization
Hepu Deng
Semantic-based resource discovery, composition and substitution in IEEE 802.11 mobile ad hoc networks
We present a general framework for resource discovery, composition and substitution in mobile ad-hoc networks, exploiting knowledge representation techniques. Key points of the proposed approach are: (1) reuse of discovery information at network layer ... Keywords: IEEE 802.11, Mobile ad-hoc network, Routing protocol, Semantic-based composition, Service discovery protocol, Service substitutability
Michele Ruta; Giammarco Zacheo; Luigi Alfredo Grieco; Tommaso Noia; Gennaro Boggia; Eufemia Tinelli; Pietro Camarda; Eugenio Sciascio
A Default Logic Based Framework for Context-Dependent Reasoning with Lexical Knowledge
Lexical knowledge is increasingly important in information systems�for example in indexing documents using keywords, or disambiguating words in a query to an information retrieval system, or a natural language interface. However, it is a difficult ... Keywords: default logic, knowledge representation, lexical knowledge, non-monotonic logic, reasoning under uncertainty
Anthony Hunter
Knowledge Discovery & Scientific Advancement
Office of Scientific and Technical Information (OSTI)
It has only been 11 years since DOE posted its first home page. Of course, by today's standards, that home page was primitive. To draw an analogy, let's look at another...
Framework to Integrate Business Intelligence and Knowledge Management in Banking Industry
In this digital age organizations depend upon the technologies to provide customer-centric solutions by understanding well about their customers' behaviour and continuously improving business process of the organization. Business intelligence (BI) applications will play a vital role at this stage by discovering the knowledge hidden in internal as well as external sources. On the other hand, Knowledge Management (KM) will enhance the organisations performance by providing collaborative tools to learn, create and share the knowledge among the employees. The main intention of the BI is to enhance the employees' knowledge with information that allows them to make decisions to achieve its organisational strategies. However only twenty percent of data exist in structured form, majority of banks knowledge is in unstructured or minds of its employees. Organizations are needed to integrate KM with Knowledge which is discovered from data and information. The purpose of this paper is to discuss the need of business insi...
Rao, G Koteswara
Developing a geoscience knowledge framework for a national geological survey organisation
Geological survey organisations (GSOs) are established by most nations to provide a geoscience knowledge base for effective decision-making on mitigating the impacts of natural hazards and global change, and on sustainable management of natural resources. ... Keywords: 3D models, Cyber-infrastructure, Geological mapping, Knowledge management, Ontology
Andrew S. Howard; Bill Hatton; Femke Reitsma; Ken I. G. Lawrie
Design and Implementation of a Zero-Knowledge Authentication Framework for Java Card
Zero-knowledge authentication protocols are an alternative to authentication protocols based on public key cryptography. Low processing and memory consumption make them especially suitable for implementation in smart card microprocessors, which are severely ...
Kenan Kalajdzic; Ahmed Patel; Laleh Golafshan; Mona Taghavi
A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation using First-Order Logic
Topic models have been used successfully for a variety of problems, often in the form of application-specific extensions of the basic Latent Dirichlet Allocation (LDA) model. Because deriving these new models in order to encode domain knowledge can be difficult and time-consuming, we propose the Fold-all model, which allows the user to specify general domain knowledge in First-Order Logic (FOL). However, combining topic modeling with FOL can result in inference problems beyond the capabilities of existing techniques. We have therefore developed a scalable inference technique using stochastic gradient descent which may also be useful to the Markov Logic Network (MLN) research community. Experiments demonstrate the expressive power of Fold-all, as well as the scalability of our proposed inference method.
Andrzejewski, D; Zhu, X; Craven, M; Recht, B
A machine-learned knowledge discovery method for associating complex phenotypes with complex genotypes. Application to pain
Background: The association of genotyping information with common traits is not satisfactorily solved. One of the most complex traits is pain and association studies have failed so far to provide reproducible predictions of pain phenotypes from genotypes ... Keywords: Genetics, Knowledge-generation, Machine-learning
J�rn L�tsch, Alfred Ultsch
A framework for an intelligent decision support system: A case in pathology test ordering
Decision context, knowledge management, decision makers, and decision strategy are fundamental components for understanding decision support systems (DSSs). This paper describes the specific case of designing a framework for an intelligent DSS in the ... Keywords: Case-based reasoning, Decision support, General practice, Knowledge discovery, Pathology ordering
Zoe Y. Zhuang, Carla L. Wilkin, Andrzej Ceglowski
The connections among greenhouse-gas emissions scenarios, global warming, and frequencies of hurricanes or tropical cyclones are among the least understood in climate science but among the most fiercely debated in the context of adaptation decisions or mitigation policies. Here we show that a knowledge discovery strategy, which leverages observations and climate model simulations, offers the promise of developing credible projections of tropical cyclones based on sea surface temperatures (SST) in a warming environment. While this study motivates the development of new methodologies in statistics and data mining, the ability to solve challenging climate science problems with innovative combinations of traditional and state-of-the-art methods is demonstrated. Here we develop new insights, albeit in a proof-of-concept sense, on the relationship between sea surface temperatures and hurricane frequencies, and generate the most likely projections with uncertainty bounds for storm counts in the 21st-century warming environment based in turn on the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios. Our preliminary insights point to the benefits that can be achieved for climate science and impacts analysis, as well as adaptation and mitigation policies, by a solution strategy that remains tailored to the climate domain and complements physics-based climate model simulations with a combination of existing and new computational and data science approaches.
Race, Caitlin [University of Minnesota; Steinbach, Michael [University of Minnesota; Ganguly, Auroop R [ORNL; Semazzi, Fred [North Carolina State University; Kumar, Vipin [University of Minnesota
Data Organization and Knowledge Discovery
Gibbs energy of the various phases. �Selection of experimental information. � Estimation of lacking data. Parameter evaluation: �Optimization and. �Estimations.
Knowledge Discovery Overview Brian Worley
at OLCF and the Hopper2 sys- tem at NERSC. In the case of 32,768 processes, the size of each checkpoint
Wang, Xiaorui "Ray"
Integrated Knowledge Framework (IKF) for Coal-Fired Power Plants: An Analysis of the Data, Information, and Knowledge Requirements for the Economic Operation and Maintenance of Coal-Fired Power Plants Volumes 1-3; Volume 1, Summary; Volume 2, IKF Mode...
This project produced an integrated knowledge framework (IKF) that describes the management and operational functions at a generic, coal-fired power plant. This IKF identifies and controls the flow of data, information, and knowledge required for important fossil power plant functions. In addition, the IKF provides a benchmark for comparing existing plant practices and implementing improvements to those practices.
Method and system for knowledge discovery using non-linear statistical analysis and a 1st and 2nd tier computer program
DOE Patents (OSTI)
The invention relates to a method and apparatus for simultaneously processing different sources of test data into informational data and then processing different categories of informational data into knowledge-based data. The knowledge-based data can then be communicated between nodes in a system of multiple computers according to rules for a type of complex, hierarchical computer system modeled on a human brain.
Hively, Lee M. (Philadelphia, TN)
First-Order Multi-class Subgroup Discovery
Subgroup discovery is concerned with finding subsets of a population whose class distribution is significantly different from the overall distribution. Previously subgroup discovery has been predominantly investigated under the propositional logic framework. ...
Tarek Abudawood; Peter Flach
Watershed Mercury Loading Framework
This report explains and illustrates a simplified stochastic framework, the Watershed Mercury Loading Framework, for organizing and framing site-specific knowledge and information on mercury loading to waterbodies. The framework permits explicit treatment of data uncertainties. This report will be useful to EPRI members, state and federal regulatory agencies, and watershed stakeholders concerned with mercury-related human and ecological health risk.
Applications of motif discovery in biological data
Sequential motif discovery, the ability to identify conserved patterns in ordered datasets without a priori knowledge of exactly what those patterns will be, is a frequently encountered and difficult problem in computational ...
Styczynski, Mark Philip-Walter
Comprehensible Knowledge Discovery: Gaining Insight from Data
uranium from South Africa. A total of 1500 tons were delivered. In 1980, the US refused to sell grain with the above two examples: #12;If an English speaking democracy that imports oil threatens a country in the Northern Hemisphere that has a strong economic health and exports weapons, then the sanction will fail
Pazzani, Michael J.
Knowledge Discovery from Massive Healthcare Claims Data
The role of big data in addressing the needs of the present healthcare system in US and rest of the world has been echoed by government, private, and academic sectors. There has been a growing emphasis to explore the promise of big data analytics in tapping the potential of the massive healthcare data emanating from private and government health insurance providers. While the domain implications of such collaboration are well known, this type of data has been explored to a limited extent in the data mining community. The objective of this paper is two fold: first, we introduce the emerging domain of big"healthcare claims data to the KDD community, and second, we describe the success and challenges that we encountered in analyzing this data using state of art analytics for massive data. Specically, we translate the problem of analyzing healthcare data into some of the most well-known analysis problems in the data mining community, social network analysis, text mining, and temporal analysis and higher order feature construction, and describe how advances within each of these areas can be leveraged to understand the domain of healthcare. Each case study illustrates a unique intersection of data mining and healthcare with a common objective of improving the cost-care ratio by mining for opportunities to improve healthcare operations and reducing hat seems to fall under fraud, waste,and abuse.
Chandola, Varun [ORNL; Sukumar, Sreenivas R [ORNL; Schryver, Jack C [ORNL
quantities of information contained in documents,presentations, spreadsheets, and databases. This information is stored acrossfile shares, intranet ...
Knowledge Discovery and Analysis in Manufacturing Mark ...
... group tend to be affluent to middle class, college ... fit too tightly, rings hydroplane over the oil film on ... and Honda are indicative of an east- first spread ...
Automatic discovery of query-classdependent models for multimodal search
We develop a framework for the automatic discovery of query classes for query-class-dependent search models in multimodal retrieval. The framework automatically discovers useful query classes by clustering queries in a training set according to the performance of various unimodal search methods, yielding classes of queries which have similar fusion strategies for the combination of unimodal components for multimodal search. We further combine these performance features with the semantic features of the queries during clustering in order to make discovered classes meaningful. The inclusion of the semantic space also makes it possible to choose the correct class for new, unseen queries, which have unknown performance space features. We evaluate the system against the TRECVID 2004 automatic video search task and find that the automatically discovered query classes give an improvement of 18% in MAP over hand-defined query classes used in previous works. We also find that some hand-defined query classes, such as �Named Person � and �Sports � do, indeed, have similarities in search method performance and are useful for query-class-dependent multimodal search, while other hand-defined classes, such as �Named Object� and �General Object� do not have consistent search method performance and should be split apart or replaced with other classes. The proposed framework is general and can be applied to any new domain without expert domain knowledge.
Lyndon S. Kennedy; Apostol (Paul) Natsev; Shih-fu Chang
Prior Knowledge
What do you know about Relativistic Lifetimes? What do you know about Relativistic Lifetimes?       Project Home - Prior Knowledge - Project Context - Resources Brainstorm In a small group write down everythingyou know about the applications of energy and momentum in HEP on butcher paper. At the same time write down questions or ideas that you are not sure about on another sheet of paper. After you have 10-20 good items, or just feel it is time to stop, go back and discuss each one. Look for connections between the items. Reorganize them into a diagram . . . this will serve as your first-order conceptual framework for discussing the energy-momentum relationship. These questions build a foundation for investigating this topic: What do we mean by the "lifetime" of a particle? Is it the time for
A Workflow Design Process for Public Healthcare Knowledge ...
A Workflow Design Process for Public Healthcare Knowledge Discovery Note: The technology described above is an early stage opportunity. Licensing rights to this ...
Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL
This paper presents a case study of a machine-aided knowledge discovery process within the general area of drug design. Within drug design, the particular problem of pharmacophore discovery is isolated, and the Inductive Logic Programming (ILP) system ... Keywords: inductive logic programming, pharmacophore, structure-activity prediction
Paul Finn; Stephen Muggleton; David Page; Ashwin Srinivasan
Structural alphabet motif discovery and a structural motif database
This study proposes a general framework for structural motif discovery. The framework is based on a modular design in which the system components can be modified or replaced independently to increase its applicability to various studies. It is a two-stage ... Keywords: Motif-finding tools, Protein structures, Sequence motifs, Structural alphabets, Structural motifs
Shih-Yen Ku; Yuh-Jyh Hu
Cybersecurity Framework
... the Executive Order �Improving Critical Infrastructure Cybersecurity� has directed NIST to work with stakeholders to develop a voluntary framework ...
PKDD2001 Discovery Challenge on Thrombosis Data Edited by
Knowledge discovery in real-world databases requires a broad scope of techniques and forms of knowledge. Both the knowledge and the applied methods should fit the discovery tasks and should adapt to knowledge hidden in the data. PKDD2001 Discovery Challenge will encourage a collaborative research effort, a broad and unified view of knowledge and methods of discovery, and emphasis on business problems and solutions to those problems. Unlike the competitive character of KDD Cups, we emphasize the collaborative nature of the knowledge discovery process. The Discovery Callenge is organized around the Thormbosis data. This data set was used also in the past challenges in 1999 and 2000. One reason for this is rather pragmatic: it is difficult to get real world data set available. The second reason is, that the results obtained so far still have a preliminary character and the data experts are interested in further analyses. Because of collaborative paradigm of the challenge, the past results were available to all participants. A session at the PKDD2001 conference has been organized to summarize the main findings and problems generated by the Challenge. 5 papers will be presented at
Petr Berka; Shishir Gupta
Decades of Discovery
make up the Standard Model of particle physics. The only missing piece now is the Higgs boson, the expected source of mass. Scientific Impact: These discoveries required more...
Discoveries | Argonne National Laboratory
James Proudfoot, and Rikutaro Yoshida played a key role in the discovery of the Higgs boson by the Large Hadron Collider collaborative research team. Sreenath Gupta and his...
Temperature discovery search
Temperature Discovery Search (TDS) is a new minimax-based game tree search method designed to compute or approximate the temperature of a combinatorial game. TDS is based on the concept of an enriched environment, where a combinatorial game G ... Keywords: ?? algorithm, amazons, combinatorial games, go, temperature discovery search
Martin M�ller; Markus Enzenberger; Jonathan Schaeffer
Wyre Community Discovery Centre Wyre Community Discovery
boiler and the building must be carefully considered. Ideally have an all-year-round need to balance use wood chip boiler provides heating and hot water to the Discovery Centre. The boiler is fuelled using contractor to chip and store locally-sourced timber. Hot water from the boiler is stored in an accumulator
Structural Biology Helps Drug Discovery
Structural Biology Helps Drug Discovery Structural Biology Helps Drug Discovery Print Thursday, 19 July 2012 11:21 Last year, drug discovery company Plexxikon made front-page news...
The Top Quark's Discovery
1995, Fermilab announced the discovery of the top quark, the last of the six predicted quarks. The search began in 1977 when physicists found the fifth quark, bottom, at Fermilab....
Representing Instructional Material for Scenario-Based Guided-Discovery Courseware
The focus of this paper is to discuss paradigms for learning that are based on sound principles of human learning and cognition, and to discuss technical challenges that must be overcome in achieving this research goal through instructional system design (ISD) approaches that are cost-effective as well as conformant with today's interactive multimedia instruction standards. Fundamental concepts are to: engage learners to solve real-world problems (progress from simple to complex); relate material to previous experience; demonstrate what is to be learned using interactive, problem-centered activities rather than passive exposure to material; require learners to use their new knowledge to solve problems that demonstrate their knowledge in a relevant applied setting; and guide the learner with feedback and coaching early, then gradually withdraw this support as learning progresses. Many of these principles have been put into practice by employing interactive learning objects as re-usable components of larger, more integrated exercises. A challenge is to make even more extensive use of interactive, scenario-based activities within a guided-discovery framework. Because the design and construction of interactive, scenario-based learning objects and more complex integrated exercises is labor-intensive, this paper explores the use of interactive learning objects and associated representation schema for instructional content to facilitate development of tools for creating scenario-based, guided-discovery courseware.
Greitzer, Frank L.; Merrill, M. DAVID.; Rice, Douglas M.; Curtis, Darren S.
Essential Body of Knowledge (EBK) October 2011
Energy.gov (U.S. Department of Energy (DOE)) Indexed Site
Essential Body of Knowledge (EBK) Essential Body of Knowledge (EBK) October 2011 1 U.S. DEPARTMENT OF ENERGY Essential Body of Knowledge (EBK) A Competency and Functional Framework For Cyber Security Workforce Development Office of the Chief Information Officer Office of the Associate CIO for Cyber Security October 2011 DOE Essential Body of Knowledge (EBK) October 2011 2 Table of Contents Executive Summary ...............................................................................................................4 DOE Essential Body of Knowledge (EBK) .........................................................................5 1.1 Data Security ..............................................................................................................6
Science & Discovery | ORNL
Advanced Materials Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing and Computation More Science Hubs, Centers and Institutes US ITER Mars 'Curiosity' has ORNL tech New family of tiny crystals glows bright in LED lights Home | Science & Discovery SHARE Science & Discovery As the US Department of Energy's largest multi-program laboratory, ORNL is engaged in a wide range of activities that support the department's mission of ensuring America's security and prosperity by addressing its energy and environmental challenges. To accomplish this, the laboratory applies a remarkable portfolio of scientific expertise and world-class scientific facilities and equipment to develop scientific and technological solutions. ORNL focuses these resources on delivering scientific discoveries and new
Discovery of Charm
DOE R&D Accomplishments (OSTI)
In my talk I will cover the period 1973 to 1976 which saw the discoveries of the J/psi and psi' resonances and most of the Psion spectroscopy, the tau lepton and the D0030099,D0015599 charmed meson doublet. Occasionally I will refer briefly to more recent results. Since this conference is on the history of the weak-interactions I will deal primarily with the properties of naked charm and in particular the weakly decaying doublet of charmed mesons. Most of the discoveries I will mention were made with the SLAC-LBL Magnetic Detector or MARK I which we operated at SPEAR from 1973 to 1976.
Goldhaber, G.
Peer-to-Peer technology usage in web service discovery and matchmaking
This paper presents a dynamic and scalable mechanism for discovery of semantically enriched descriptions of Web services. By employing Web Service Modeling Ontology (WSMO) as the underlying framework for describing both user requests and Web services, ...
Brahmananda Sapkota; Laurentiu Vasiliu; Ioan Toma; Dumitru Roman; Chris Bussler
Discovery through Gossip
We study randomized gossip-based processes in dynamic networks that are motivated by discovery processes in large-scale distributed networks like peer-to-peer or social networks. A well-studied problem in peer-to-peer networks is the resource discovery problem. There, the goal for nodes (hosts with IP addresses) is to discover the IP addresses of all other hosts. In social networks, nodes (people) discover new nodes through exchanging contacts with their neighbors (friends). In both cases the discovery of new nodes changes the underlying network - new edges are added to the network - and the process continues in the changed network. Rigorously analyzing such dynamic (stochastic) processes with a continuously self-changing topology remains a challenging problem with obvious applications. This paper studies and analyzes two natural gossip-based discovery processes. In the push process, each node repeatedly chooses two random neighbors and puts them in contact (i.e., "pushes" their mutual information to each oth...
Haeupler, Bernhard; Peleg, David; Rajaraman, Rajmohan; Sun, Zhifeng
playing dirty discoveries
, thicker walls, enhanced insulation, a low-flow shower, and a solar-powered hot water heater. The project so libraries can prove their worth Follow the Water 14 The high-tech hunt for H2 0 and organic Navigating the legal waters of electronic discovery Faster Than Real Time 30 Simulations set to revolutionize
Tennessee, University of
Chemical biology drug discovery
Keywords Chemical biology drug discovery high-throughput screening protein ligands proteases novel chemical and biochemical methods for the identification and optimization of protein ligands us of pro- tein ligands. Results of this research are translated into protein-specific, chemical probes
Schüler, Axel
Application-storage discovery
Discovering application dependency on data and storage is a key prerequisite for many storage optimization tasks such as data assignment to storage tiers, storage consolidation, virtualization, and handling unused data. However, in the real world these ... Keywords: enterprise storage, experimental evaluation, storage discovery
Nikolai Joukov; Birgit Pfitzmann; HariGovind V. Ramasamy; Murthy V. Devarakonda
Flow through Discovery Gap
A narrow gap (Discovery Gap) in the East Azores Fracture Zone at 37�N in the eastern Atlantic provides a channel for the exchange of bottom water between the Madeira and Iberian abyssal basins. A detailed survey defines its length (150 km), width ...
P. M. Saunders
A Rule-Based Framework for Gene Regulation Pathways Discovery
We present novel approach to discover the rules that govern gene regulation mechanisms. The method is based on supervised machine learning and is designed to reveal relationships between transcription factors and gene promoters. As the representation of the gene regulatory circuit we have chosen a special form of IF-THEN rules associating certain features (a generalized idea of a Transcription Factor Binding Site) in gene promoters with specific gene expression profiles.
Wilczynski, B; Hvidsten, T; Kryshtafovych, A; Stubbs, L; Komorowski, J; Fidelis, K
Data Topology as a Framework for Materials Discovery and Material ...
About this Abstract. Meeting, 2014 TMS Annual Meeting & Exhibition. Symposium , Data Analytics for Materials Science and Manufacturing. Presentation Title�...
Structural Biology Helps Drug Discovery Print Last year, drug discovery company Plexxikon made front-page news with its highly successful anti-cancer drug, Zelboraf, a product that...
Crypto Key Management Framework
... A Framework for Designing Cryptographic Key Management Systems ... A Framework for Designing Cryptographic Key Management Systems ...
Computational Discovery of Novel Materials
Jul 31, 2012 ... Design and Discovery of Novel Energy Materials � Design of ... Design of Multifunctional Material Architectures Using Topology Optimization.
Spatio-Temporal Sensor Graphs (STSG): A data model for the discovery of spatio-temporal patterns
Developing a model that facilitates the representation and knowledge discovery on sensor data presents many challenges. With sensors reporting data at a very high frequency, resulting in large volumes of data, there is a need for a model that is memory ... Keywords: Sensor networks, Spatio-temporal networks, knowledge discovery
Betsy George; James M. Kang; Shashi Shekhar
Global Discovery: Increasing the Pace of Knowledge Diffusion...
just on the work of giants. We also depend on our colleagues down the hall, or at another lab, as well as a myriad of other researchers we do not know. According to the National...
Search Method for Real-time Knowledge Discovery Modeled on ...
nodes in a system of multiple computers according to rules for complex, hierarchical system modeled on the human brain.
Knowledge discovery in corporate email : the compliance bot meets Enron
I propose the creation of a real-time compliance "bot" - software to momentarily pause each employee's email at the moment of sending and to electronically assess whether that email is likely to create liability or ...
Waterman, K. Krasnow
Proceedings of the second Australasian workshop on Health data and knowledge management - Volume 80
This is the second consecutive workshop within ACSW to deal with the topics around health knowledge management and associated systems. Last year we had styled the workshop as the Australasian Workshop on Health Knowledge Management and Discovery (HKMD). ...
James R. Warren; Ping Yu; John Yearwood; Jon D. Patrick
A unifying perspective on knowledge updates
We introduce an abstract update framework based on viewing a knowledge base as the set of sets of models of its elements and performing updates by introducing additional interpretations --- exceptions --- to the sets of models of elements ...
Martin Slota; Jo�o Leite
Knowledge organization : Beichuan Middle School architecture design
This Thesis is comprised of two interrelated parts: the first part attempts to incorporate Design and Methodology into the framework of Knowledge Organization, tries to refine/ redefine the workflow, and establishes a ...
Song, Kanda
INSPIRING GENERATIONS THROUGH KNOWLEDGE AND DISCOVERY Highlights of New Discoveries and Research Initiatives
, as seen with the new Solar Dynamics Observatory satellite. #12; 9 Air and Space Museum researcher, Sharing Our Heritage. #12; 2 Hirshhorn's Yves Klein: With the Void, Full Powers culminates sevenyear, Full Powers, the first United States retrospective of the noted French artist's work in nearly 30
Mathis, Wayne N.
NETL: Carbon Storage - Knowledge Sharing
Knowledge Sharing Knowledge Sharing Carbon Storage Knowledge Sharing Outreach Efforts at SECARB's Anthropogenic Test Site in Alabama Outreach Efforts at SECARB's Anthropogenic Test Site in Alabama In order to achieve the commercialization of CO2 storage technologies, the U.S. Department of Energy (DOE) acknowledges that knowledge sharing between various entities is essential. Distribution of the results and lessons learned from both field projects and Core R&D efforts will provide the foundation for future, large-scale CCS field tests across North America and in addressing future challenges associated with public acceptance, infrastructure (pipelines, compressor stations, etc.), and regulatory framework. DOE promotes information and knowledge sharing through various avenues including the Regional Carbon Sequestration Partnerships (RCSP)
IRF: Information Retrieval Framework
is a freely available object-oriented framework for information retrieval (IR) applications. A framework is software which ...
The Dynamics of Price Discovery ?
When arbitrage related prices share the same underlying asset, there are multiple channels to incorporate new information on the fundamental value of the asset. In this paper, we present an empirical microstructure model to characterize each channel�s price discovery speed. We identify the information sources of price adjustments to separate price discovery from the market responses to liquidity shocks. We assess market efficiency of price discovery visually, by the time paths of price convergence toward the new fundamental value, and numerically, by the magnitude of pricing errors during the price discovery process. We also use our price discovery model to illustrate the structural determinants of two often used price discovery measures: the information share and component share. We show that two measures are static and unable to reveal the underlying price discovery dynamics between markets. Applying our new measures to quotes from spot foreign exchange rates, we find that substantial price discovery of the yen/euro exchange rate occurs through the US dollar. The dollar�s price discovery contribution is positively related to the relative liquidity of the dollar markets versus the cross rate market, and reaches a minimum during the European business hours.
Bingcheng Yan; Eric Zivot
... play an increasing role in materials discovery, development and optimization. ... and applications of novel empirical energy models from atomistic potentials to �...
Organizational Learning: From Experience to Knowledge
Organizational learning has been an important topic for the journal Organization Science and for the field. We provide a theoretical framework for analyzing organizational learning. According to the framework, organizational experience interacts ... Keywords: creativity, innovation, knowledge transfer, learning curves, organizational learning, organizational memory
Linda Argote; Ella Miron-Spektor
7 6/1/2011 7 6/1/2011 3.2 Discovery of One of the Smallest Particles of Matter Forces of nature are mediated by the interaction or exchange of particles called bosons. In 1989, experiments at Stanford Linear Accelerator Center and the European Laboratory for Particle Physics (also known as CERN) made precise measurements of the lifetime of the Z0 boson, which carries the "weak force" that allows particles to change form. The experiment was significant because it implied that only three families of fundamental particles exist. That's because the Z0 boson is short-lived and decays to certain other particles; the number of these particles influences the decay process. Precise measurement of the Z0 boson lifetime revealed that only three particles called neutrinos are produced. (If
Automated Knowledge Annotation for Dynamic Collaborative Environments
This paper describes the Knowledge Encapsulation Framework (KEF), a suite of tools to enable automated knowledge annotation for modeling and simulation projects. This framework can be used to capture evidence (e.g., facts extracted from journal articles and government reports), discover new evidence (from similar peer-reviewed material as well as social media), enable discussions surrounding domain-specific topics and provide automatically generated semantic annotations for improved corpus investigation. The current KEF implementation is presented within a wiki environment, providing a simple but powerful collaborative space for team members to review, annotate, discuss and align evidence with their modeling frameworks.
Cowell, Andrew J.; Gregory, Michelle L.; Marshall, Eric J.; McGrath, Liam R.
Mining relationship associations from knowledge about failures using ontology and inference
Mining general knowledge about relationships between concepts described in the analyses of failure cases could help people to avoid repeating previous failures. Furthermore, by representing knowledge using ontologies that support inference, we can identify ... Keywords: failure knowledge, frequent pattern mining, graph mining, knowledge discovery, logical inference, ontology, relationship association, semantic relationships
Weisen Guo; Steven B. Kraines
NIST Cybersecurity Framework - DRAFT Framework Glossary
DRAFT - Framework Glossary Term Draft Definition Category The logical subdivision of a function; one or more categories comprise a function. ...
LBNL-41172 Discovery
1172 1172 Discovery of a Supernova Explosion at Half the Age of the Universe and its Cosmological Implications S. Perlmutter, G. Aldering, M. Della Valle, S. Deustua, R. S. Ellis, S. Fabbro, A. Fruchter, G. Goldhaber, A. Goobar, D. E. Groom, 1. M. Hook, A. G. Kim, M. Y. Kim, R.A. Knop, C. Lidman, R. G. McMahon, P. Nugent, R. Pain, N. Panagia, C. R. Pennypacker, P. Ruiz-Lapuente, B. Schaefer & N. Walton (The Supernova Cosmology Project) This work was supported in part by the Director, Office of Science, Office of High Energy Physics, of the U.S. Department of Energy under Contract No. DE-AC03-76SF00098. DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their
Discovery & Innovation
The Office of Science The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, providing more than 40 percent of total funding for this vital area of national importance. It oversees - and is the principal federal funding agency of - the Nation's research programs in high-energy physics, nuclear physics, and fusion energy sciences. en {8C4B6798-0A4D-4B36-AF69-02F3EFA94CD1}http://science.energy.gov/discovery-and-innovation/stories/2013/127045/ Observing the Sparks of Life EFRC researchers isolate a photosynthetic complex - arguably the most important bit of organic chemistry on the planet - in its complete
Medical Discoveries Inc | Open Energy Information
Open Energy Info (EERE)
Discoveries Inc Jump to: navigation, search Name Medical Discoveries Inc. Place Los Angeles, California Zip 90045 Product Los Angeles-based listed firm that terminated its prior...
Super Heavy Element Discovery | ornl.gov
Super Heavy Element Discovery SHARE Super Heavy Element Discovery The location of the Transactinides (super-heavy elements) shown on the Periodic Table. ORNL is internationally...
Chance discovery and scenario analysis for trend exploration on solar cell technology
It is essential for managers and stakeholders to well understand the trends of a certain technology so that managers can enhance the performance of a company and stakeholders can make appropriate decisions for investment. Solar cell, one of renewable ... Keywords: chance discovery, knowledge extraction, knowledge retrieval, patent data, patents, scenario analysis, solar cells, technology trends, trend exploration
Tzu-Fu Chiu
Discovery of the Mercury Isotopes
Forty mercury isotopes have so far been observed; the discovery of these isotopes is discussed. For each isotope a brief summary of the first refereed publication, including the production and identification method, is presented.
D. Meierfrankenfeld; M. Thoennessen
Towards discovery of subgraph bisociations
The discovery of surprising relations in large, heterogeneous information repositories is gaining increasing importance in real world data analysis. If these repositories come from diverse origins, forming different domains, domain bridging associations ...
Uwe Nagel; Kilian Thiel; Tobias K�tter; Dawid Pi?tek; Michael R. Berthold
Motif discovery in sequential data
In this thesis, I discuss the application and development of methods for the automated discovery of motifs in sequential data. These data include DNA sequences, protein sequences, and real-valued sequential data such as ...
Jensen, Kyle L. (Kyle Lawrence)
The Knowledge Dictionary: A KBMS architecture for the many-to-many coupling of knowledge based-systems to databases
The effective management and leveraging of organizational knowledge has become the focus of much research in the computer industry. One specific area is the creation of information systems that combine the ability to manage large stores of data, making it available to many users, with the ability to reason and make inferences over bodies of knowledge capturing specific expertise in some problem domain. A Knowledge Base Management System (KBMS) is a system providing management of a large shared knowledge base for (potentially) many knowledge-based systems (KBS). A KBMS architecture for coupling knowledge-based systems to databases has been developed. The architecture is built around a repository known as the Knowledge Dictionary-a multi-level self-describing framework that facilitates the KBS-DBMS integration. Th Knowledge Dictionary architecture allows the following enhancements to be made to be made to the KBS environment: knowledge sharing among multiple KBS applications; knowledge management of semantic integrity over large-scale (declarative) knowledge bases; and, knowledge maintenance as the declarative portion of the shared knowledge base evolves over time. This dissertation discusses the architecture of the Knowledge Dictionary, and the underlying knowledge representation framework, focusing on how it is used to provide knowledge management services to the KBS applications having their declarative knowledge base components stored as databases in the DBMS. The specific service investigated is the management of semantic integrity of the knowledge base.
Davis, J.P.
Continuous improvement of knowledge management systems using Six Sigma methodology
Knowledge retrieval is a decisive part of the performance of a knowledge management system. In order to enhance retrieval accuracy, an effective performance evaluation mechanism is necessary. Nowadays, there is not a standard evaluation framework for ... Keywords: Knowledge retrieval evaluation, Six sigma
Chiajou Lin; F. Frank Chen; Hung-Da Wan; Yuh Min Chen; Glenn Kuriger
Knowledge-based collaborative engineering of pipe networks in the upstream and downstream petroleum industry
This paper describes an approach to the development of a framework for the automation of the detailed engineering cycle based on the integration of concurrent and collaborative engineering models with knowledge-based engineering. The framework is illustrated ... Keywords: Agents, Collaborative design, Interoperability framework, Knowledge-based engineering
Leonid Sheremetov; Ildar Batyrshin; Manuel Chi; Armando Rosas
Global Discovery introduced at AAAS 2006 | OSTI, US Dept of Energy, Office
Global Discovery introduced at AAAS 2006 Global Discovery introduced at AAAS 2006 Office of Scientific & Technical Information NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE February 17, 2006 Global Discovery introduced at AAAS 2006 Oak Ridge, TN - The U.S. Department of Energy Office of Scientific and Technical Information, a component of the Office of Science, is looking at new ways to disseminate science information. As tools and technologies rapidly become more sophisticated, OSTI is conducting applied research on a number of challenges related to this vision aimed at turning local discovery into Global Discovery. The benefits for researchers, for citizens, and for the U.S. economy could prove far-reaching as OSTI, through its Innovations in Scientific Knowledge and
Success Stories: Materials Discovery - Symyx
Materials Discovery Materials Discovery Until Lawrence Berkeley National Laboratory scientist Peter Schultz thought of a better way, materials discovery was a costly, slow, and laborious process. In the early 1990s Dr. Schultz and colleagues invented a super efficient materials research process that combined minaturizing with parallel processing. In 1994 the start-up company Symyx Technologies, Inc. licensed the invention and began developing research tools that can create and screen new materials hundreds to thousands of times faster than traditional methods at a fraction of the cost. Combinatorial techniques had been successfully applied in the pharmaceutical industry to discover new drugs when Schultz and co-workers in the Molecular Design Institute of Berkeley Lab proposed that the same
The ESTEEM platform: enabling P2P semantic collaboration through emerging collective knowledge
In this paper, we present Esteem (Emergent Semantics and cooperaTion in multi-knowledgE EnvironMents), a community-based P2P platform for supporting semantic collaboration among a set of independent peers, without prior reciprocal knowledge and no predefined ... Keywords: Data and service discovery, Emergent collective knowledge, Ontologies, Semantic collaboration
Stefano Montanelli; Devis Bianchini; Carola Aiello; Roberto Baldoni; Cristiana Bolchini; Silvia Bonomi; Silvana Castano; Tiziana Catarci; Valeria Antonellis; Alfio Ferrara; Michele Melchiori; Elisa Quintarelli; Monica Scannapieco; Fabio A. Schreiber; Letizia Tanca
A Generic Framework for Web-Based Intelligent Decision Support Systems
Web-based Intelligent Systems Environment (WISE) offers generic, modular, flexible and scalable system solutions for information retrieval, extraction, fusion, knowledge discovery and intelligent decision support, using heterogeneous, distributed data ...
Vladimir Simeunovic; Jelena Jovanovic; Milan Saric; Sanja Vranes
A knowledge sharing framework for homeland security modeling and simulation
Modeling and simulation (M&S) tools and capabilities can enable understanding of the complex nature of systems in various homeland security domains. A coordinated effort across government, industry, and academia would advance capabilities in this important ...
Sanjay Jain; Charles W. Hutchings; Y. Tina Lee; Charles R. McLean
Community Discovery via Metagraph Factorization
This work aims at discovering community structure in rich media social networks through analysis of time-varying, multirelational data. Community structure represents the latent social context of user actions. It has important applications such as search ... Keywords: MetaFac, community discovery, dynamic social network analysis, metagraph factorization, nonnegative tensor factorization, relational hypergraph
Yu-Ru Lin; Jimeng Sun; Hari Sundaram; Aisling Kelliher; Paul Castro; Ravi Konuru
Privacy-preserving data mining through data publishing and knowledge model sharing
For the past decade or so, the needs for organizations to share data for knowledge discovery and data mining have increased significantly. Meanwhile, privacy issues have become widely recognized and motivated the research on privacy-preserving data mining ...
Hongwei Tian / Weining Zhang
Integrating genomic conservation data with motif discovery
We formalize a probabilistic model of inter-species sequence conservation for motif discovery, and demonstrate that adding large-scale genomic conservation data to an existing motif discovery procedure improves the quality ...
Danford, Timothy W. (Timothy William), 1979-
RapidRadio: Signal Classification and Radio Deployment Framework
In this article, the RapidRadio framework for signal classification and receiver deployment is discussed. The framework is a productivity-enhancing tool that reduces the required knowledge base for implementing a receiver on an FPGA-based SDR platform. ... Keywords: FPGA, signal classification, system synthesis
Jorge A. Sur�s; Adolfo Recio; Peter Athanas
A Cluster Refinement Algorithm for Motif Discovery
Finding Transcription Factor Binding Sites, i.e., motif discovery, is crucial for understanding the gene regulatory relationship. Motifs are weakly conserved and motif discovery is an NP-hard problem. We propose a new approach called Cluster Refinement ... Keywords: Transcription factor binding site, motif discovery.
Gang Li; Tak-Ming Chan; Kwong-Sak Leung; Kin-Hong Lee
WinSEND: Windows SEcure Neighbor Discovery
Neighbor Discovery Protocol (NDP) is an essential protocol in IPv6 suite, but it is known to be vulnerable to critical attacks. Thus, SEcure Neighbor Discovery (SEND) is proposed to counter NDP security threats. Unfortunately, operating systems lack ... Keywords: cryptographically generated addresses (cga), ipv6 security and protection, neighbor discovery protocol (ndp), send implementation
Hosnieh Rafiee; Ahmad Alsa'deh; Christoph Meinel
Weak information work in scientific discovery
Scientists continually work with information to move their research projects forward, but the activities involved in finding and using information and their impact on discovery are poorly understood. In the Information and Discovery in Neuroscience (IDN) ... Keywords: Information practices, Information seeking, Neuroscience, Research processes, Scientific discovery
Carole L. Palmer; Melissa H. Cragin; Timothy P. Hogan
GEF-Knowledge Management Initiative | Open Energy Information
Knowledge Management Initiative Knowledge Management Initiative Jump to: navigation, search Name GEF Knowledge Management Initiative: Strategic Framework and Work-Plan for GEF-5 Agency/Company /Organization Global Environment Facility (GEF) Resource Type Dataset, Lessons learned/best practices Website http://www.thegef.org/gef/site Program Start 2010 References GEF Knowledge Management[1] GEF Knowledge Management Initiative: Strategic Framework and Work-Plan for GEF-5 Screenshot " In December 2010, the Secretariat launched the KMI with the goal of ensuring that GEF knowledge, information and data are identified, captured, and shared in their entirety and developed as a strategic asset in a coherent and comprehensive manner." References ↑ "GEF Knowledge Management"
LWD-0008 Motion for Discovery
Ronald A. Sorri Ronald A. Sorri DECISION AND ORDER OF THE DEPARTMENT OF ENERGY Motions for Discovery Supplemental Order Name of Petitioner: Ronald A. Sorri L&M Technologies, Inc. Ronald A. Sorri Dates of Filing: September 24, 1993 September 27, 1993 October 12, 1993 Case Numbers: LWD-0008 LWD-0009 LWX-0011 This determination will consider two requests for discovery filed with the Office of Hearings and Appeals (OHA) on September 24 and 27, 1993, by Ronald A. Sorri (Sorri) and L&M Technologies, Inc. (L&M), respectively. These motions concern the hearing requested by Sorri under the Department of Energy's Contractor Employee Protection Program, 10 C.F.R. Part 708, on June 9, 1993 (OHA Case No. LWA-0001). The DOE Contractor Employee Protection Program and the Sorri proceeding are described in a
Particle Physics at Discovery's Horizon
uslhc.us uslhc.us Particle Physics at Discovery's Horizon September 2012 Discoveries from the Compact Muon Solenoid experiment at the Large Hadron Collider at CERN in Geneva, Switzerland, promise to rev- olutionize our understanding of the universe. With more than 1000 participants from 49 institutions across the country, US CMS is the largest national group in the 3,600-member international CMS collaboration. Supported by the US Department of Energy's Office of Science and the National Science Foundation, the US CMS collaboration consists of more than 430 physicists, nearly 200 graduate students and more than 300 engineers, tech- nicians and computer scientists. The US CMS collaboration plays a vital role in the operation of the CMS detector and analysis of data from LHC collisions. US groups
Distributed Resource Integration Framework
This report defines a framework for assessing current issues and considerations associated with the deployment and operation of distributed resources. The framework is a guide that can assist utility personnel, distributed resource owners, and other stakeholders in planning integration projects and in relating different integration projects to one another. The framework provides a structured organization of the various elements associated with distributed resource integration, including regulatory, busin...
IBRD Operational Decision Framework
The IBRD Operational Decision Framework in this document is an expansion of an emerging general risk management framework under development by an interagency working group. It provides the level of detail necessary to develop a general Consequence Management Guidance Document for biological contamination remediation and restoration. It is the intent of this document to support both wide area and individual site remediation and restoration activities. This product was initiated as a portion of the IBRD Task 1 Systems Analysis to aid in identification of wide area remediation and restoration shortcomings and gaps. The draft interagency general risk management framework was used as the basis for the analysis. The initial Task 1 analysis document expanded the draft interagency framework to a higher level of resolution, building on both the logic structure and the accompanying text explanations. It was then employed in a qualitative manner to identify responsible agencies, data requirements, tool requirements, and current capabilities for each decision and task. This resulted in identifying shortcomings and gaps needing resolution. Several meetings of a joint LLNL/SNL working group reviewed and approved the initial content of this analysis. At the conclusion of Task 1, work continued on the expanded framework to generate this Operational Decision Framework which is consistent with the existing interagency general risk management framework. A large LLNL task group met repeatedly over a three-month period to develop the expanded framework, coordinate the framework with the biological remediation checklist, and synchronize the logic with the Consequence Management Plan table of contents. The expanded framework was briefed at a large table top exercise reviewing the interagency risk management framework. This exercise had representation from major US metropolitan areas as well as national agencies. This product received positive comments from the participants. Upon completion of the Operational Decision Framework, another joint LLNL/SNL working group conducted a day-long review. Identified modifications were made to the document, resulting in the included product.
Greenwalt, R; Hibbard, W; Raber, E; Carlsen, T; Folks, K; MacQueen, D; Mancieri, S; Bunt, T; Richards, J; Hirabayashi-Dethier, J
NIST Cyber Security Framework
Page 1. NIST Cyber Security Framework ISA-62443-2-1 :2009 ISA-62443-2-1 (Ed. 2, D2E8 ... Page 2. Security NIST Cyber ...
Knowledge management in supply chain: An empirical study from France
Supply chain management has assumed a leading operations strategy position in both manufacturing and service industries, and over the past 10years companies have seriously implemented supply chain management strategies in their organizations. Knowledge ... Keywords: Empirical research, Framework, Knowledge management, Supply chain
Karine Evrard Samuel; Marie-Lyne Goury; Angappa Gunasekaran; Alain Spalanzani
Cascaded refactoring for framework
Refactoring of source code has been studied as a preliminary step in the evolution of object-oriented software. We extend the concept of refactoring to the whole range of models used to describe a framework in our methodology: feature model, use case ... Keywords: architecture, design pattern, domain analysis, evolution, feature model, framework, hotspot, refactoring, role, use case
Greg Butler; Lugang Xu
On Combining the Knowledge of Heterogeneous Information Repositories
: The Internet facilitates access to a large amount of electronic information. However, in order to exploit the flood of information, sophisticated search facilities are needed which convert the inundation of electronic data coming from numerous sources into real knowledge. From this knowledge a whole range of users will benefit, from business people to casual surfers and shoppers on the Internet. Intelligent agents or knowledge brokers play a vital role in realizing this vision. This paper presents a framework for knowledge brokers who search for information which is potentially available but stored in a way not always foreseen how the information will be exploited. More striking, the paper presents an architectural framework where the user can retrieve and combine knowledge uniformly, irrespective of where or how the knowledge-representing information is stored. Lessons learned from a prototype implementation allow a discussion of shortcomings due to the emphasis of current informati...
Uwe M. Borghoff; Johann H. Schlichter
View discovery in OLAP databases through statistical combinatorial optimization
OnLine Analytical Processing (OLAP) is a relational database technology providing users with rapid access to summary, aggregated views of a single large database, and is widely recognized for knowledge representation and discovery in high-dimensional relational databases. OLAP technologies provide intuitive and graphical access to the massively complex set of possible summary views available in large relational (SQL) structured data repositories. The capability of OLAP database software systems to handle data complexity comes at a high price for analysts, presenting them a combinatorially vast space of views of a relational database. We respond to the need to deploy technologies sufficient to allow users to guide themselves to areas of local structure by casting the space of 'views' of an OLAP database as a combinatorial object of all projections and subsets, and 'view discovery' as an search process over that lattice. We equip the view lattice with statistical information theoretical measures sufficient to support a combinatorial optimization process. We outline 'hop-chaining' as a particular view discovery algorithm over this object, wherein users are guided across a permutation of the dimensions by searching for successive two-dimensional views, pushing seen dimensions into an increasingly large background filter in a 'spiraling' search process. We illustrate this work in the context of data cubes recording summary statistics for radiation portal monitors at US ports.
Hengartner, Nick W [Los Alamos National Laboratory; Burke, John [PNNL; Critchlow, Terence [PNNL; Joslyn, Cliff [PNNL; Hogan, Emilie [PNNL
Technology & Market Discovery - Lawrence Livermore National Laboratory
Technology & Market Discovery. The commercialization of many technologies developed at LLNL require the market expertise and funding capabilty of the entrepreneurial ...
The Higgs discovery potential of ATLAS
Higgs boson production and decay at the LHC is described, together with related ATLAS search channels, in order to provide an overview of the ATLAS Higgs discovery potential.
Christopher Collins-Tooth
,"Shale Natural Gas New Field Discoveries "
U.S. Energy Information Administration (EIA) Indexed Site
,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Shale Natural Gas New Field Discoveries ",36,"Annual",2011,"6302009" ,"Release...
Self modelling knowledge networks
What the scope of knowledge management (KM) is concerned, the focus of attention is shifting towards inter-organisational aspects resulting in new requirements for the KM process. This paper introduces the concept of self modelling knowledge networks ...
Volker Derballa; Antonia Albani
Integrating semantic web technologies and geospatial catalog services for geospatial information discovery and processing in cyberinfrastructure
Abstract A geospatial catalogue service provides a network-based meta-information repository and interface for advertising and discovering shared geospatial data and services. Descriptive information (i.e., metadata) for geospatial data and services is structured and organized in catalogue services. The approaches currently available for searching and using that information are often inadequate. Semantic Web technologies show promise for better discovery methods by exploiting the underlying semantics. Such development needs special attention from the Cyberinfrastructure perspective, so that the traditional focus on discovery of and access to geospatial data can be expanded to support the increased demand for processing of geospatial information and discovery of knowledge. Semantic descriptions for geospatial data, services, and geoprocessing service chains are structured, organized, and registered through extending elements in the ebXML Registry Information Model (ebRIM) of a geospatial catalogue service, which follows the interface specifications of the Open Geospatial Consortium (OGC) Catalogue Services for the Web (CSW). The process models for geoprocessing service chains, as a type of geospatial knowledge, are captured, registered, and discoverable. Semantics-enhanced discovery for geospatial data, services/service chains, and process models is described. Semantic search middleware that can support virtual data product materialization is developed for the geospatial catalogue service. The creation of such a semantics-enhanced geospatial catalogue service is important in meeting the demands for geospatial information discovery and analysis in Cyberinfrastructure.
Yue, Peng [Wuhan University; Gong, Jianya [Wuhan University; Di, Liping [George Mason University; He, Lianlian [Hubei University; Wei, Yaxing [ORNL
Grammatical framework web service
We present a web service for natural language parsing, prediction, generation, and translation using grammars in Portable Grammar Format (PGF), the target format of the Grammatical Framework (GF) grammar compiler. The web service implementation is open ...
Bj�rn Bringert; Krasimir Angelov; Aarne Ranta
Realm Specific IP: Framework
This document examines the general framework of Realm Specific IP (RSIP). RSIP is intended as a alternative to NAT in which the end- to-end integrity of packets is maintained. We focus on implementation issues, deployment scenarios, and interaction ...
M. Borella; J. Lo; D. Grabelsky; G. Montenegro
New Planning Framework
This report describes an investigation into how various regulatory, economic, and technical changes are likely to affect the framework for transmission planning. It begins with an overview of the Existing Planning Framework, structured along the lines of five key aspects that encompass the purview, role, and responsibilities of transmission planning. The report then explores seven scenarios (future states) of transformative change in the electricity industryranging from the greater penetration of wind ge...
Challenges in Biomarker Discovery: Combining Expert Insights with Statistical Analysis of Complex Omics Data
The advent of high throughput technologies capable of comprehensive analysis of genes, transcripts, proteins and other significant biological molecules has provided an unprecedented opportunity for the identification of molecular markers of disease processes. However, it has simultaneously complicated the problem of extracting meaningful signatures of biological processes from these complex datasets. The process of biomarker discovery and characterization provides opportunities both for purely statistical and expert knowledge-based approaches and would benefit from improved integration of the two. Areas covered In this review we will present examples of current practices for biomarker discovery from complex omic datasets and the challenges that have been encountered. We will then present a high-level review of data-driven (statistical) and knowledge-based methods applied to biomarker discovery, highlighting some current efforts to combine the two distinct approaches. Expert opinion Effective, reproducible and objective tools for combining data-driven and knowledge-based approaches to biomarker discovery and characterization are key to future success in the biomarker field. We will describe our recommendations of possible approaches to this problem including metrics for the evaluation of biomarkers.
McDermott, Jason E.; Wang, Jing; Mitchell, Hugh D.; Webb-Robertson, Bobbie-Jo M.; Hafen, Ryan P.; Ramey, John A.; Rodland, Karin D.
Compact data format for advertising and discovery in ubiquitous networks
In this paper, we describe a packet data size minimization method designed specifically for advertising and discovery in ubiquitous networks. The minimization is effective for achieving superior discovery performance characteristics such as discovery ... Keywords: compact data format, discovery system, service discovery
Pavel Poupyrev; Yoshihiro Kawahara; Peter Davis; Hiroyuki Morikawa
Stories of Discovery & Innovation
stories/ The Office of stories/ The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, providing more than 40 percent of total funding for this vital area of national importance. It oversees - and is the principal federal funding agency of - the Nation's research programs in high-energy physics, nuclear physics, and fusion energy sciences. en {8C4B6798-0A4D-4B36-AF69-02F3EFA94CD1}http://science.energy.gov/discovery-and-innovation/stories/2013/127045/ Observing the Sparks of Life EFRC researchers isolate a photosynthetic complex - arguably the most important bit of organic chemistry on the planet - in its complete
Utah Natural Gas, Wet After Lease Separation New Reservoir Discoveries...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Utah Natural Gas, Wet After Lease Separation New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0...
Utah Coalbed Methane Proved Reserves New Reservoir Discoveries...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Utah Coalbed Methane Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1...
Argonne CNM: Materials Design and Discovery at the Nanoscale
Materials Design and Discovery at the Nanoscale This pillar aligns well with Argonne's overall strategic interest in materials design and discovery. Geometrical confinement and...
Caltech researchers make discovery that hints at origin of phenomenon...
Caltech researchers make discovery that hints at origin of phenomenon like solar flares American Fusion News Category: U.S. Universities Link: Caltech researchers make discovery...
Single, Key Gene Discovery Could Streamline Production of Biofuels...
Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels August 11, 2011 - 3:51pm Addthis WASHINGTON,...
California Federal Offshore Dry Natural Gas New Reservoir Discoveries...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) California Federal Offshore Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0...
V-122: IBM Tivoli Application Dependency Discovery Manager Java...
2: IBM Tivoli Application Dependency Discovery Manager Java Multiple Vulnerabilities V-122: IBM Tivoli Application Dependency Discovery Manager Java Multiple Vulnerabilities March...
2006 Department of Energy Strategic Plan - Scientific Discovery...
Scientific Discovery and Innovation 2006 Department of Energy Strategic Plan - Scientific Discovery and Innovation The United States has always been a Nation of innovators and the...
NERSC Played Key Role in Nobel Laureate's Discovery
Played Key Role in Nobel Laureate's Discovery NERSC Played Key Role in Nobel Laureate's Discovery NERSC, Berkeley Lab Now Centers for Computational Cosmology Community October 4,...
New Mexico - East Dry Natural Gas New Reservoir Discoveries in...
Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) New Mexico - East Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade...
New Mexico - West Dry Natural Gas New Reservoir Discoveries in...
Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) New Mexico - West Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade...
Concept of Operations for Collaboration and Discovery from Big Data Across Enterprise Data Warehouses
The success of data-driven business in government, science, and private industry is driving the need for seamless integration of intra and inter-enterprise data sources to extract knowledge nuggets in the form of correlations, trends, patterns and behaviors previously not discovered due to physical and logical separation of datasets. Today, as volume, velocity, variety and complexity of enterprise data keeps increasing, the next generation analysts are facing several challenges in the knowledge extraction process. Towards addressing these challenges, data-driven organizations that rely on the success of their analysts have to make investment decisions for sustainable data/information systems and knowledge discovery. Options that organizations are considering are newer storage/analysis architectures, better analysis machines, redesigned analysis algorithms, collaborative knowledge management tools, and query builders amongst many others. In this paper, we present a concept of operations for enabling knowledge discovery that data-driven organizations can leverage towards making their investment decisions. We base our recommendations on the experience gained from integrating multi-agency enterprise data warehouses at the Oak Ridge National Laboratory to design the foundation of future knowledge nurturing data-system architectures.
Olama, Mohammed M [ORNL; Nutaro, James J [ORNL; Sukumar, Sreenivas R [ORNL; McNair, Wade [ORNL
A frame knowledge system for managing financial decision knowledge
Managing decision knowledge or expertise from domain experts is one of the most exciting challenges in today's knowledge management field. The nature of decision knowledge in determining a firm's financial health is context-dependent, intangible, and ... Keywords: Financial decision management, Frame knowledge representation, Jess, Knowledge acquisition, Knowledge-based system
Weissor Shiue; Sheng-Tun Li; Kuan-Ju Chen
International Experiences and Frameworks to Support Country-Driven Low-Emissions Development
Countries can use low-emission development strategies (LEDS) to advance sustainable development, promote private-sector growth, and reduce greenhouse gas emissions. This paper proposes a framework -- or support infrastructure -- to enable the efficient exchange of LEDS-related knowledge and technical assistance. Under the proposed framework, countries share LEDS-related resources via coordinating forums, 'knowledge platforms,' and networks of experts and investors. The virtual 'knowledge platforms' foster learning by allowing countries to communicate with each other and share technical reports, data, and analysis tools in support of LEDS development. Investing in all elements of the framework in an integrated fashion increases the efficacy of support for country-driven LEDS.
Benioff, R.; Cochran, J.; Cox, S.
Rwanda-Developing a Strategic Climate Change Framework | Open Energy
Rwanda-Developing a Strategic Climate Change Framework Rwanda-Developing a Strategic Climate Change Framework (Redirected from CDKN-Rwanda-Developing a Strategic Climate Change Framework) Jump to: navigation, search Name CDKN-Rwanda-Developing a Strategic Climate Change Framework and Design of a Climate Change and Environmental Fund Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner REMA, Government of Rwanda Sector Climate, Energy, Land Topics Background analysis, Low emission development planning, Pathways analysis Website http://cdkn.org/project/a-stra Program Start 2010 Program End 2012 Country Rwanda UN Region Middle Africa References CDKN-Rwanda-Developing a Strategic Climate Change Framework[1] Rwanda's ambitious Green Growth and Climate Resilience Strategy was
A.I., Scientific Discovery and Realism
Epistemologists have debated at length whether scientific discovery is a rational and logical process. If it is, according to the Artificial Intelligence hypothesis, it should be possible to write computer programs able to discover laws or theories; ...
Mario Alai
Autonomous Ultrahard Materials Discovery via Spreadsheet ...
Using this fundamental discovery paradigm, it is possible to interrogate the neural .... from a variety of sources, including the CRC Handbook, minerological texts, and a ..... Direct questions about this or any other JOM page to jom@tms. org.
Protein sequence motif discovery on distributed supercomputer
The motif discovery problem has gained lot of significance in biological science over the past decade. Recently, various approaches have been used successfully to discover motifs. Some of them are based on probabilistic approach and others on combinatorial ...
Santan Challa; Parimala Thulasiraman
Design, discovery and growth of novel materials
This editorial introduces the special issue on design, discovery, and growth of novel materials. The papers of this special issue review and reveal technical details of of how specific growths are developed and implemented.
Canfield, Paul
Knowledge management in mobile environment
Many knowledge management activities occur in working places and in our daily activities. On such occasions, mobile devices are tools to connect people with knowledge bases. In the mobile scenarios, the important knowledge management issue is how to ... Keywords: handheld devices, knowledge applications, knowledge sharing, m-commerce, mobile commerce, mobile communications, mobile devices, mobile knowledge management
Xiaoqing Li; Te-Wei Wang
Making Sustainable Decisions Using The KONVERGENCE Framework
Hundreds of contaminated facilities and sites must be cleaned up. ''Cleanup'' includes decommissioning, environmental restoration, and waste management. Cleanup can be complex, expensive, risky, and time-consuming. Decisions are often controversial, can stall or be blocked, and are sometimes re-done--some before implementation, some decades later. Making and keeping decisions with long time horizons involves special difficulties and requires new approaches. Our project goal is to make cleanup decisions easier to make, implement, keep, and sustain. By sustainability, we mean decisions that work better over the entire time-period-from when a decision is made, through implementation, to its end point. That is, alternatives that can be kept ''as is'' or adapted as circumstances change. Increased attention to sustainability and adaptability may decrease resistance to making and implementing decisions. Our KONVERGENCE framework addresses these challenges. The framework is based on a mental model that states: where Knowledge, Values, and Resources converge (the K, V, R in KONVERGENCE), you will find a sustainable decision. We define these areas or universes as follows: (1) Knowledge: what is known about the problem and possible solutions? (2) Values: what is important to those affected by the decision? (3) Resources: what is available to implement possible solutions or improve knowledge? This mental model helps analyze and visualize what is happening as decisions are made and kept. Why is there disagreement? Is there movement toward konvergence? Is a past decision drifting out of konvergence? The framework includes strategic improvements, i.e., expand the spectrum of alternatives to include adaptable alternatives and decision networks. It includes tactical process improvements derived from experience, values, and relevant literature. This paper includes diagnosis and medication (suggested path forward) for intractable cases.
Piet, S. J.; Gibson, P. L.; Joe, J. C.; Kerr, T. A.; Nitschke, R. L.; Dakins, M. E.
Accelerating scientific discovery : 2007 annual report.
As a gateway for scientific discovery, the Argonne Leadership Computing Facility (ALCF) works hand in hand with the world's best computational scientists to advance research in a diverse span of scientific domains, ranging from chemistry, applied mathematics, and materials science to engineering physics and life sciences. Sponsored by the U.S. Department of Energy's (DOE) Office of Science, researchers are using the IBM Blue Gene/L supercomputer at the ALCF to study and explore key scientific problems that underlie important challenges facing our society. For instance, a research team at the University of California-San Diego/ SDSC is studying the molecular basis of Parkinson's disease. The researchers plan to use the knowledge they gain to discover new drugs to treat the disease and to identify risk factors for other diseases that are equally prevalent. Likewise, scientists from Pratt & Whitney are using the Blue Gene to understand the complex processes within aircraft engines. Expanding our understanding of jet engine combustors is the secret to improved fuel efficiency and reduced emissions. Lessons learned from the scientific simulations of jet engine combustors have already led Pratt & Whitney to newer designs with unprecedented reductions in emissions, noise, and cost of ownership. ALCF staff members provide in-depth expertise and assistance to those using the Blue Gene/L and optimizing user applications. Both the Catalyst and Applications Performance Engineering and Data Analytics (APEDA) teams support the users projects. In addition to working with scientists running experiments on the Blue Gene/L, we have become a nexus for the broader global community. In partnership with the Mathematics and Computer Science Division at Argonne National Laboratory, we have created an environment where the world's most challenging computational science problems can be addressed. Our expertise in high-end scientific computing enables us to provide guidance for applications that are transitioning to petascale as well as to produce software that facilitates their development, such as the MPICH library, which provides a portable and efficient implementation of the MPI standard--the prevalent programming model for large-scale scientific applications--and the PETSc toolkit that provides a programming paradigm that eases the development of many scientific applications on high-end computers.
Beckman, P.; Dave, P.; Drugan, C.
Climate Literacy Framework
Climate Literacy Framework Print E-mail Climate Literacy Framework Print E-mail A Guide for Individuals and Communities The Essential Principles of Climate Science presents important information for individuals and communities to understand Earth's climate, impacts of climate change, and approaches for adapting and mitigating change. Principles in the guide can serve as discussion starters or launching points for scientific inquiry. The guide can also serve educators who teach climate science as part of their science curricula. Development of the guide began at a workshop sponsored by the National Oceanic and Atmospheric Administration (NOAA) and the American Association for the Advancement of Science (AAAS). Multiple science agencies, non-governmental organizations, and numerous individuals also contributed through extensive review and comment periods. Discussion at the National Science Foundation (NSF) and NOAA-sponsored Atmospheric Sciences and Climate Literacy workshop contributed substantially to the refinement of the document.
Neighbor discovery in wireless networks and the coupon collector's problem
Neighbor discovery is one of the first steps in the initialization of a wireless ad hoc network. In this paper, we design and analyze practical algorithms for neighbor discovery in wireless networks. We first consider an ALOHA-like neighbor discovery ... Keywords: ad hoc networks, initialization, neighbor discovery, randomized algorithms, sensor networks
Sudarshan Vasudevan; Donald Towsley; Dennis Goeckel; Ramin Khalili
A Framework for Business Intelligence Application using Ontological Classification
Every business needs knowledge about their competitors to survive better. One of the information repositories is web. Retrieving Specific information from the web is challenging. An Ontological model is developed to capture specific information by using web semantics. From the Ontology model, the relations between the data are mined using decision tree. From all these a new framework is developed for Business Intelligence.
Martin, A; Venkatesan, V Prasanna
Formalizing information security knowledge
Unified and formal knowledge models of the information security domain are fundamental requirements for supporting and enhancing existing risk management approaches. This paper describes a security ontology which provides an ontological structure for ... Keywords: information security, risk management, security ontology
Stefan Fenz; Andreas Ekelhart
Capturing Undocumented Expert Knowledge
Public Service Electric and Gas Company (PSEG) faces the retirements of skilled, productive experts in the areas of asset management system protection engineering and pipe-type cable design and operations. The project team used the Electric Power Research Institute (EPRI) guidelines and methods, described in the EPRI report Capturing and Using High-Value Undocumented Knowledge in the Nuclear Industry: Guidelines and Methods (1002896) to capture and retain the tacit knowledge held by these key experts. Th...
Preparation of functionalized zeolitic frameworks
The disclosure provides zeolitic frameworks for gas separation, gas storage, catalysis and sensors. More particularly the disclosure provides zeolitic frameworks (ZIFs). The ZIF of the disclosure comprises any number of transition metals or a homogenous transition metal composition.
Yaghi, Omar M; Furukawa, Hiroyasu; Wang, Bo
Yaghi, Omar M; Hayashi, Hideki; Banerjee, Rahul; Park, Kyo Sung; Wang, Bo; Cote, Adrien P
Automatically locating framework extension examples
Using and extending a framework is a challenging task whose difficulty is exacerbated by the poor documentation that generally comes with the framework. Even in the presence of documentation, developers often desire implementation examples for concrete ...
Barth�l�my Dagenais; Harold Ossher
Knowledge Capital: How Knowledge-Based Enterprises are Really Built
From the Publisher:"Knowledge Capital: How Knowledge-Based Enterprises Really Get Built begins by defining the parameters of knowledge management and intellectual capital. An important task of a modern organization is to create an integrated strategy ...
Jay L. Chatzkel
Nuclear Safety Regulatory Framework
Department of Energy Department of Energy Nuclear Safety Regulatory Framework DOE's Nuclear Safety Enabling Legislation Regulatory Enforcement & Oversight Regulatory Governance Atomic Energy Act 1946 Atomic Energy Act 1954 Energy Reorganization Act 1974 DOE Act 1977 Authority and responsibility to regulate nuclear safety at DOE facilities 10 CFR 830 10 CFR 835 10 CFR 820 Regulatory Implementation Nuclear Safety Radiological Safety Procedural Rules ISMS-QA; Operating Experience; Metrics and Analysis Cross Cutting DOE Directives & Manuals DOE Standards Central Technical Authorities (CTA) Office of Health, Safety, and Security (HSS) Line Management SSO/ FAC Reps 48 CFR 970 48 CFR 952 Federal Acquisition Regulations External Oversight *Defense Nuclear Facility
The service discovery methods issue: A web services UDDI specification framework integrated in a grid environment
Grid technologies are clearly evolving towards the web services architecture as a means of structuring interactions among distributed software services. The web services-based architectural model distinguishes three main actors (provider, consumer and ...
Serena Pastore
A Monte Carlo-based framework enhances the discovery and interpretation of regulatory sequence motifs
2000, 275:12934�12940. 52. Nrc H, Res G, Microbiol M, Resprotein; and in Halobacterium sp. NRC-1, we discoverd subtleTfbG in Halobacterium sp. NRC-1 One of the main mechanisms
Seitzer, Phillip; Wilbanks, Elizabeth G; Larsen, David J; Facciotti, Marc T
Event:Knowledge as currency: Generating and disseminating knowledge...
as currency: Generating and disseminating knowledge for climate change adaptation in Africa Jump to: navigation, search Calendar.png Knowledge as currency: Generating and...
Combinatorial Discovery of Fuel Cell Electrocatalysts
Discovery of Fuel Cell Discovery of Fuel Cell Electrocatalysts Eugene S. Smotkin University of Puerto Rico @ Rio Piedras Non-Platinum Electrocatalysts Workshop March 21, 2003 Marriot courtyard - Convention Center New Orleans, Louisiana Combinatorial Discovery of Fuel Cell Electrocatalysts Eugene S. Smotkin University of Puerto Rico @ Rio Piedras Non-Platinum Electrocatalysts Workshop March 21, 2003 Marriot courtyard - Convention Center New Orleans, Louisiana Overview Parallel Screening methods Optical Screening method Array fuel cell Array synthetic methods Partial review of non-Pt cathode work Overview Parallel Screening methods Optical Screening method Array fuel cell Array synthetic methods Partial review of non-Pt cathode work Optical Screening of Electrocatalyst Libraries
900-MHz NMR: Accelerating Scientific Discovery
00-MHz NMR: Accelerating Scientific 00-MHz NMR: Accelerating Scientific Discovery Scientific Innovation Through Integration 900-MHz NMR: Accelerating Scientific Discovery 900-MHz NMR: Accelerating Scientific Discovery Introduction When the U.S. Department of Energy's (DOE's) Office of Biological and Environmental Research approved the development and purchase of the world's first 900-MHz NMR (nuclear magnetic resonance) spectrometer in 1992, the highest magnetic field available was 750 MHz. DOE's decision and the ultimate success of its 900-MHz NMR spectrometer, which recently saw its five-year anniversary of operation at EMSL, catalyzed the development of a new generation of ultrahigh-field NMR spectrometers worldwide. Building new technology Building the magnet for the 900-MHz NMR spectrometer brought engineering challenges. Can the
Rwanda-Developing a Strategic Climate Change Framework Rwanda-Developing a Strategic Climate Change Framework Jump to: navigation, search Name CDKN-Rwanda-Developing a Strategic Climate Change Framework and Design of a Climate Change and Environmental Fund Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner REMA, Government of Rwanda Sector Climate, Energy, Land Topics Background analysis, Low emission development planning, Pathways analysis Website http://cdkn.org/project/a-stra Program Start 2010 Program End 2012 Country Rwanda UN Region Middle Africa References CDKN-Rwanda-Developing a Strategic Climate Change Framework[1] Rwanda's ambitious Green Growth and Climate Resilience Strategy was launched at a UNFCCC side event at CoP17 in Durban. Rwanda joins Korea,
Preservice teachers' knowledge of linear functions within multiple representation modes
This study examines preservice teachers� knowledge in the case of linear functions. Teachers� knowledge in general consists of their subject matter knowledge and their pedagogical content knowledge. In this study, teachers� subject matter knowledge is examined by looking at their ability to adapt to different representation modes. The framework for subject matter content knowledge consists of five components: (1) flexibility across formal mathematical symbolisms; (2) flexibility between visual and algebraic representations; (3) flexibility within visual representations; (4) flexibility with real-life situations, and (5) procedural skills. In terms of pedagogical content knowledge, two aspects were examined across five corresponding components. These two aspects were knowledge of students� conceptions and misconceptions, and teachers� teaching strategies. The primary source of data for the study was from two tests and six interviews. The results showed preservice teachers performed poorly in terms of representation flexibility. Furthermore, most of the preservice teachers had limited knowledge of the nature and sources of students� mistakes as well as effective teaching strategies to help students with their misconceptions. In terms of knowledge structure, representation flexibility was found to be significant in both CK and PCK compared to procedural skills. Moreover, the representational flexibility in terms of CK seemed to strongly predict the overall PCK performance. Representational flexibility seemed to be related to the use of instructional representations. Overall, there was a strong relationship between various components of CK and PCK.
You, Zhixia
A building�s refurbishment knowledge and device based decision support system
The integration of knowledge-based, devices-based and decision support systems have a very promising future in scientific research. The authors of this paper participated in the project Framework 6, �Bringing Retrofit Innovation to the Application ...
Edmundas Zavadskas; Arturas Kaklauskas; Povilas Vainiunas; Ruta Dubakiene; Andrius Gulbinas; Mindaugas Krutinis; Petras Cyras; Liudas Rimkus
Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner's Guide
Within an IT framework, this book discusses creation, protection, development, sharing, and management of information and intellectual assets through the use of business intelligence and other knowledge sharing and analytical techniques.
Jessica Keyes
Threat Analysis Framework | Department of Energy
Threat Analysis Framework The need to protect national critical infrastructure has led to the development of a threat analysis framework. The threat analysis framework can be...
Constructibility review process framework for transportation facilities
Constructibility is the optimum use of construction knowledge and experience in planning, design, procurement, and field operations in order to achieve overall project objectives ("Constructibility: a primer" 1986). This Thesis presents a framework for implementing constructibility to the transportation industry. The challenge of applying such a process to the transportation industry is the contracting strategy predominantly used: the design/bid/build strategy. In such a contracting environment construction is performed as a completely separate phase. Changes in key players occur once the project is awarded to the contractor. Contractors have little or no opportunity to provide input to planners and designers. The framework developed in this research consists of performing a series of constructibility functions during specific project development phases. Constructibility functions such as forming project teams, storing and retrieving constructibility lessons learned, and providing construction feedback to designers make the project development process more efficient. The computer technique used to build the Constructibility Review Process Framework is the IDEFO modeling technique. The technique is used for modeling functions in a process (decisions, actions, and activities) and the relationship between the functions (Mayer). The model was developed after a thorough investigation of the critical issues facing the state transportation agencies, and an understanding of the current environment these agencies operate in.
Liman, Majed
The discovery of plutonium reorganized the periodic table and aided the discovery of new elements
The modern Periodic Table derives principally from the work of the great Russian scientist Dimitri Mendeleev, who in 1869 enunciated a 'periodic law' that the properties of the elements are a periodic function of their atomic weights, and arranged the 65 known elements in a 'periodic table'. Fundamentally, every column in the main body of the Periodic Table is a grouping of elements that display similar chemical and physical behavior. Similar properties are therefore exhibited by elements with widely different mass. Chemical periodicity is central to the study of chemistry, and no other generalization comes close to its ability to systematize and rationalize known chemical facts. With the development of atomic theory, and an understanding of the electronic structure of atoms, chemical periodicity and the periodic table now find their natural explanation in the electronic structure of atoms. Moving from left to right along any row, the elements are arranged sequentially according to nuclear charge (the atomic number). Electrons counter balance that nuclear charge, hence each successive element has one more electron in its configuration. The electron configuration, or distribution of electrons among atomic orbitals, may be determined by application of the Pauli principle (paired spin in the same orbital) and the aufbau principle (which outlines the order of filling of electrons into shells of orbitals - s, p, d, f, etc.) such that in a given atom, no two electrons may have all four quantum numbers identical. In 1939, only three elements were known to be heavier than actinium: thorium, protactinium, and uranium. All three exhibited variable oxidation states and a complex chemistry. Thorium, protactinium and uranium were assumed to be d-transition metals and were placed in the Periodic Table under hafnium, tantalum, and tungsten, respectively. By 1940, McMillan and Abelson bombarded uranium atoms with slow neutrons and successfully identified atoms of element 93, which they named neptunium after the planet Neptune. This rapidly set the stage for the discovery of the next succeeding element, plutonium (Seaborg, McMillan, Kennedy, and Wahl, 1940), named after the next planet away from the Sun, Pluto. The newly discovered elements were presumed to fit comfortably in the Periodic Table under rhenium and osmium, respectively. However, subsequent tracer chemical experiments showed that neptunium and plutonium were closer in their chemical properties to uranium than their presumed homologues, rhenium and osmium. Spectroscopic evidence also indicated that the new elements were not typical transition elements, but had f-electrons in their valence shell. Thus, several researchers, including McMillan and Wahl, and Zachariasen at Los Alamos, suggested that these elements might be part of a second inner-transition series in which the 5f-electron subshell was being filled. It was not clear, however, where the new series would begin. McMillian had proposed a 'uraninide series' that started with neptunium, but attempts to isolate elements with atomic numbers 95 and 96 based on assumed similarities to uranium were unsuccessful. Both Wahl and Zacharias en had proposed a thoride series that started with protactinium. In 1944, Seaborg proposed that the series started with thorium, and that all of the elements heavier than actinium constituted an 'actinide' series similar to the lanthanides. Because the 5f-shell began filling in the same relative position as the 4f-shell, the electronic configuration of elements in the two series would be similar. Guided by the hypothesis that elements 95 and 96 were homologues of europium and gadolinium, new experiments were designed and the elements were uniquely synthesized and separated from all others. The new elements were subsequently named americium and curium. Seaborg's 'Actinide Concept' thus played a major role in the discovery of the transplutonium elements. It provided the framework that supported synthesis, isolation, and identification of the succeeding actinide elements berkelium through lawrenci
Clark, David L [Los Alamos National Laboratory
Carbon Dioxide Separation with Novel Microporous Metal Organic Frameworks
David a. Lang David a. Lang Project Manager National Energy Technology Laboratory 626 Cochrans Mill Road P.O. Box 10940 Pittsburgh, PA 15236-0940 412-386-4881 firstname.lastname@example.com Richard Willis Principal Investigator UOP LLC 50 East Algonquin Road Des Plaines, IL 60016 847-391-3190 email@example.com Carbon DioxiDe Separation with novel MiCroporouS Metal organiC FraMeworkS Background UOP LLC, in collaboration with Vanderbilt University and the University of Edinburgh, is working to develop novel microporous metal organic frameworks (MOFs) and an associated process for the removal of CO 2 from coal-fired power plant flue gas. This innovative project will exploit the latest discoveries in an extraordinary class of materials (MOFs) having extremely high adsorption capacities. MOFs have previously exhibited
Weakly-supervised discovery of named entities using web search queries
A seed-based framework for textual information extraction allows for weakly supervised extraction of named entities from anonymized Web search queries. The extraction is guided by a small set of seed named entities, without any need for handcrafted extraction ... Keywords: knowledge acquisition, named entities, query logs, unstructured text, weakly supervised information extraction
Marius Pa?ca
Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data
Wide-area sensor infrastructures, remote sensors, RFIDs, phasor measurements, and wireless sensor networks yield massive volumes of disparate, dynamic, and geographically distributed data. With the recent proliferation of smart-phones and similar GPS ...
Varun Chandola; Olufemi A. Omitaomu; Karsten Steinhaeuser; Auroop R. Ganguly; Joao Gama; Ranga Raju Vatsavai; Nitesh V. Chawla; Mohamed Medhat Gaber
Joint unsupervised structure discovery and information extraction
In this paper we present JUDIE (Joint Unsupervised Structure Discovery and Information Extraction), a new method for automatically extracting semi-structured data records in the form of continuous text (e.g., bibliographic citations, postal addresses, ... Keywords: data management, information extraction, text segmentation
Eli Cortez; Daniel Oliveira; Altigran S. da Silva; Edleno S. de Moura; Alberto H.F. Laender
Trends, Discovery, & Innovation at NUG User
Trends, Discovery, & Innovation at NUG User Day 2013 --- 1 --- The s econd d ay o f t he N ERSC U ser G roup ( NUG) 2013 m ee@ng w as f ocused o n c ommunity engagement a nd c...
Discovery Park Impact NNSA PRISM Center for
Discovery Park Impact NNSA PRISM Center for Prediction of Reliability, Integrity and Survivability in PRISM. Purdue is one of 5 centers funded under NNSA's Predictive Science Academic Alliance Program Computing, a division of Information Technology at Purdue. The NNSA national laboratories will be involved
Ginzel, Matthew
The case for anomalous link discovery
In this paper, we describe the challenges inherent to the task of link prediction, and we analyze one reason why many link prediction models perform poorly. Specifically, we demonstrate the effects of the extremely large class skew associated ... Keywords: anomalous link discovery, link prediction, relational learning
Matthew J. Rattigan; David Jensen
Solar composition from the Genesis Discovery Mission
Solar composition from the Genesis Discovery Mission D. S. Burnett1 and Genesis Science Team2: the isoto- pic compositions of O, N, and noble gases differ in the Sun from other inner solar system objects in the noble gas data from solar wind implanted in lunar soils. (ii) The most advanced analytical instruments
News page discovery policy for instant crawlers
Many news pages which are of high freshness requirements are published on the internet every day. They should be downloaded immediately by instant crawlers. Otherwise, they will become outdated soon. In the past, instant crawlers only downloaded pages ... Keywords: news page discovery, user behavior analysis, web log
Yong Wang; Yiqun Liu; Min Zhang; Shaoping Ma
Community discovery using nonnegative matrix factorization
Complex networks exist in a wide range of real world systems, such as social networks, technological networks, and biological networks. During the last decades, many researchers have concentrated on exploring some common things contained in those large ... Keywords: Community discovery, Nonnegative matrix factorization
Fei Wang; Tao Li; Xin Wang; Shenghuo Zhu; Chris Ding
Event:Knowledge as currency: Generating and disseminating knowledge for
as currency: Generating and disseminating knowledge for as currency: Generating and disseminating knowledge for climate change adaptation in Africa Jump to: navigation, search Calendar.png Knowledge as currency: Generating and disseminating knowledge for climate change adaptation in Africa: 13:20 - 14:40 on 2011/12/01 Side event at the Africa pavilion on knowledge production and sharing on adaptation in Africa with START and IDRC Event Details Name Knowledge as currency: Generating and disseminating knowledge for climate change adaptation in Africa Date 2011/12/01 Time 13:20 - 14:40 Location African Pavilion Tags Climate Knowledge Broker Ret LikeLike UnlikeLike You like this.Sign Up to see what your friends like. rieved from "http://en.openei.org/w/index.php?title=Event:Knowledge_as_currency:_Generating_and_disseminating_knowledge_for_climate_change_adaptation_in_Africa&oldid=391873
GTT Framework | Department of Energy
GTT Framework GTT Framework GTT Framework GTT Framework Strategic Framework The GTT proposes a strategic framework that organizes these activities into three interrelated dimensions (informational, analytical, and physical), representative of the systems nature of the grid. Each of these dimensions have a corresponding strategic focus: The informational dimension aims to improve the visibility of grid conditions. The analytical dimension increases our understanding of the implications of the observed conditions. The physical dimension enhances the flexibility of the grid to respond to that understanding. The logic behind these focus areas is that a modernized grid should be able to "see" an event or condition, "know" what is happening or about to happen, and "do" something appropriate in response - quickly and
A Searchable Knowledge Map Based on Ontology
Knowledge visualization and retrieval are the key techniques to implement effective knowledge management. Traditional research on knowledge map emphasizes on building global view of knowledge base, but ignores its support to knowledge retrieval. In this ... Keywords: knowledge map, search, ontology
Qi Xiong; Yingling Wang; Jianmei Guo; Guilin Wu
Utah Dry Natural Gas New Reservoir Discoveries in Old Fields...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Utah Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...
Utah Dry Natural Gas Reserves New Field Discoveries (Billion...
Annual Energy Outlook 2012 (EIA)
New Field Discoveries (Billion Cubic Feet) Utah Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...
U.S. Coalbed Methane Proved Reserves New Reservoir Discoveries...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) U.S. Coalbed Methane Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1...
California Dry Natural Gas Reserves New Field Discoveries (Billion...
New Field Discoveries (Billion Cubic Feet) California Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...
California Dry Natural Gas New Reservoir Discoveries in Old Fields...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) California Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2...
Ohio Dry Natural Gas Reserves New Field Discoveries (Billion...
Gasoline and Diesel Fuel Update (EIA)
New Field Discoveries (Billion Cubic Feet) Ohio Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...
Ohio Dry Natural Gas New Reservoir Discoveries in Old Fields...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Ohio Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...
Causal Discovery for Climate Research Using Graphical Models
Causal discovery seeks to recover cause�effect relationships from statistical data using graphical models. One goal of this paper is to provide an accessible introduction to causal discovery methods for climate scientists, with a focus on ...
Imme Ebert-Uphoff; Yi Deng
Colorado Dry Natural Gas New Reservoir Discoveries in Old Fields...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Colorado Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2...
Colorado Dry Natural Gas Reserves New Field Discoveries (Billion...
New Field Discoveries (Billion Cubic Feet) Colorado Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...
NERSC User Day February 13 - Trends, Discovery, and Innovation...
the Next 10 Years, Sudip Dosanjh, NERSC Director Discovery 11:00 - Discovery of the Higgs Boson and the role of LBNL and World-Wide Computing, Ian Hinchliffe, Berkeley Lab 11:30 -...
Michigan Dry Natural Gas Reserves New Field Discoveries (Billion...
New Field Discoveries (Billion Cubic Feet) Michigan Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...
Michigan Dry Natural Gas New Reservoir Discoveries in Old Fields...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Michigan Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2...
New Mexico - West Dry Natural Gas Reserves New Field Discoveries...
New Field Discoveries (Billion Cubic Feet) New Mexico - West Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...
New Mexico - East Dry Natural Gas Reserves New Field Discoveries...
New Field Discoveries (Billion Cubic Feet) New Mexico - East Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5...
New Mexico Dry Natural Gas Reserves New Field Discoveries (Billion...
New Field Discoveries (Billion Cubic Feet) New Mexico Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...
Texas Dry Natural Gas Reserves New Field Discoveries (Billion...
New Field Discoveries (Billion Cubic Feet) Texas Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...
Texas Dry Natural Gas New Reservoir Discoveries in Old Fields...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Texas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3...
Second Cybersecurity Infrastructure Framework Workshop ...
... framework to reduce cybersecurity risks for critical infrastructure from May 29 ... industry experts in all sectors�such as energy, finance, transportation ...
Complex Structure Forewarning System Framework
This invention is a novel predictive framework to control the in-service health of structures or equipment by ... Oak Ridge National Laboratory Rm ...
Framework forensic examination computer systems.
??This thesis discusses the features and requirements of a computationally intelligent computer forensic system. By introducing a novel concept, "Case-Relevance", a computationally intelligent forensic framework� (more)
Gong, Ruibin.
RESFEN -- Knowledge Base
6.0 Knowledge Base 6.0 Knowledge Base Tip - use the Find function in your browser to search this page Last update:09/11/13 11:42 AM INSTALLATION Installation Problems Report Feature Does Not Work License Agreement Registration Issue: Can't Remember Account Password PROGRAM CHANGES Results PROGRAM FEATURES WINDOW 6.3 Window Libraries SI and IP Units Multi-Calc TIPS User Defined Windows RELEASE NOTES WEATHER DATA Cannot Find Weather File, Simulation Cancelled Converting Energy Plus EPW files to RESFEN Weather Files Weather Data Files United States Location Statistics Canada China Chile Japan ENERGY CALCULATIONS Whole House Total Energy Calculations COST CALCULATIONS How to Convert $/cubic foot to $/therm for Natural Gas HVAC MODELING How to Model Electric Resistance Heating KNOWN BUGS Below is a list of RESFEN modeling issues that have been discovered by
5.0 Knowledge Base 5.0 Knowledge Base Tip - use the Find function in your browser to search this page Last update:09/11/13 11:41 AM INSTALLATION Installation Problems Hour Glass Cursor Does Not Go Away Weather File Installation Options Report Feature Does Not Work License Agreement Registration Issue: Can't Remember Account Password NEW FEATURES IN 5.0 Results WINDOW 5.2 Window Libraries WINDOW 5.2 DOE2 DAT files Database format is Different from Previous RESFEN Beta 1 and 2 SI and IP Units "All Windows the Same" Feature Changing Costs Doesnt Cause Resimulation Multi-Calc Feature Window Library U-factor and SHGC Results (Algorithm Changes between WINDOW 4.1 and 5.0) WEATHER DATA Cannot Find Weather File, Simulation Cancelled Converting Energy Plus EPW files to RESFEN Weather Files
Discovery of an Unexpected Boost for Solar Water-Splitting ...
Discovery of an Unexpected Boost for Solar Water-Splitting Cells. For Immediate Release: April 21, 2009. ...
Education: Digital Resource Center - Decades of Discovery - TMS
Jan 4, 2008... ""Plasma Physics,"" ""Advanced Scientific Computing Research,"" and "" Biological and Environmental Research."" Each discovery is linked to�...
Making Sustainable Decisions Using the KONVERGENCE Framework
Hundreds of contaminated facilities and sites must be cleaned up. �Cleanup� includes decommissioning, environmental restoration, and waste management. Cleanup can be complex, expensive, risky, and time-consuming. Decisions are often controversial, can stall or be blocked, and are sometimes re-done - some before implementation, some decades later. Making and keeping decisions with long time horizons involves special difficulties and requires new approaches, including: � New ways (mental model) to analyze and visualize the problem, � Awareness of the option to shift strategy or reframe from a single decision to an adaptable network of decisions, and � Improved tactical processes that account for several challenges. These include the following: � Stakeholder values are a more fundamental basis for decision making and keeping than �meeting regulations.� � Late-entry players and future generations will question decisions. � People may resist making �irreversible� decisions. � People need �compelling reasons� to take action in the face of uncertainties. Our project goal is to make cleanup decisions easier to make, implement, keep, and sustain. By sustainability, we mean decisions that work better over the entire time-period�from when a decision is made, through implementation, to its end point. That is, alternatives that can be kept �as is� or adapted as circumstances change. Increased attention to sustainability and adaptability may decrease resistance to making and implementing decisions. Our KONVERGENCE framework addresses these challenges. The framework is based on a mental model that states: where Knowledge, Values, and Resources converge (the K, V, R in KONVERGENCE), you will find a sustainable decision. We define these areas or universes as follows: � Knowledge: what is known about the problem and possible solutions? � Values: what is important to those affected by the decision? � Resources: what is available to implement possible solutions or improve knowledge? This mental model helps analyze and visualize what is happening as decisions are made and kept. Why is there disagreement? Is there movement toward konvergence? Is a past decision drifting out of konvergence? The framework includes strategic improvements, i.e., expand the spectrum of alternatives to include adaptable alternatives and decision networks. It includes tactical process improvements derived from experience, values, and relevant literature. This paper includes diagnosis and medication (suggested path forward) for intractable cases.
Piet, Steven James; Gibson, Patrick Lavern; Joe, Jeffrey Clark; Kerr, Thomas A; Nitschke, Robert Leon; Dakins, Maxine Ellen
Possibility of early Higgs boson discovery in nonminimal Higgs sectors
Particle physics models with more than one Higgs boson occur in many frameworks for physics beyond the standard model, including supersymmetry, technicolor, composite Higgs, and ''little Higgs'' models. If the Higgs sector contains couplings stronger than electroweak gauge couplings, there will be heavy Higgs particles that decay to lighter Higgs particles plus heavy particles such as W, Z, and t. This motivates searches for final states involving multiple W, Z, t, and bb pairs. A two Higgs doublet model with custodial symmetry is a useful simplified model to describe many of these signals. The model can be parameterized by the physical Higgs masses and the mixing angles {alpha} and {beta}, so discovery or exclusion in this parameter space has a straightforward physical interpretation. We illustrate this with a detailed analysis of the process gg{yields}A followed by A{yields}hZ and h{yields}WW. For m{sub A}{approx_equal}330 GeV, m{sub h}{approx_equal}200 GeV we can get a 4.5{sigma} signal with 1 fb{sup -1} of integrated luminosity at the Large Hadron Collider.
Chang, Spencer [Physics Department, University of California Davis, Davis, California 95616 (United States); Department of Physics, University of Oregon, Eugene, Oregon 97403 (United States); Evans, Jared A.; Luty, Markus A. [Physics Department, University of California Davis, Davis, California 95616 (United States)
Development framework components as commonplaces
This paper examines the practice of using front-end web development frameworks and associated plug-ins to develop web application interfaces and suggests returning to a rhetorical foundation for determining the propriety of code use and vetting of an ... Keywords: code libraries, commonplaces, design, development frameworks, extreme usability, front-end development, rhetoric, topoi, user interfaces
Tom Lindsley
LINDEN: linking named entities with knowledge base via semantic knowledge
Integrating the extracted facts with an existing knowledge base has raised an urgent need to address the problem of entity linking. Specifically, entity linking is the task to link the entity mention in text with the corresponding real world entity in ... Keywords: entity linking, fact integration, knowledge base, semantic knowledge, wikipedia
Wei Shen; Jianyong Wang; Ping Luo; Min Wang
The Trouble with `Tacit Knowledge'
The development and maintenance of organized cooperative work practices require, as an integral feature, what can loosely be termed `didactic practices' or `mutual learning' (giving and receiving instruction, advice, direction, guidance, recommendation, ... Keywords: knowledge, knowledge management, practice
Kjeld Schmidt
Advanced Technology and Knowledge Transfer
This paper reports on a specific food and agribusiness industry project, employing new technological capabilities to better transfer expert knowledge. Knowledge transfer and technical support are key components of this project. VisIT, which stands for ...
Geetanjali Tandon; Steven T. Sonka
Strange reports of �discovery � of the Higgs boson by
Reports of the discovery of the Higgs boson have been very cryptic, contradictory, shrouded in ambiguity, refer to different types of Higgs bosons, multiple Higgs bosons, and Higgs-like particles, and are often accompanied by mock-up images that contain not one iota of scientific information. Very disturbing is the revelation that scientists at the Large Hadron Collider (LHC) made several videos for press release in advance of any announcement, for various different outcomes, so that they could choose to release the video they wanted to present to the world in the press release on the 4 th July 2012 reporting on the performance of the LHC. One such video briefly appeared on the CERN website on the 3 rd of July 2012, the day prior to the official announcement, and was very quickly removed, but not soon enough to prevent wider knowledge of its existence. Even the CERN Press Office did not know what the scientists at the LHC would report to the world on the 4 th of July 2012
Stephen J. Crothers
In search of `architectural knowledge'
The software architecture community puts more and more emphasis on 'architectural knowledge'. However, there appears to be no commonly accepted definition of what architectural knowledge entails, which makes it a fuzzy concept. In order to obtain a better ... Keywords: architectural knowledge, systematic review
Remco C. de Boer; Rik Farenhorst
Robust automated knowledge capture.
This report summarizes research conducted through the Sandia National Laboratories Robust Automated Knowledge Capture Laboratory Directed Research and Development project. The objective of this project was to advance scientific understanding of the influence of individual cognitive attributes on decision making. The project has developed a quantitative model known as RumRunner that has proven effective in predicting the propensity of an individual to shift strategies on the basis of task and experience related parameters. Three separate studies are described which have validated the basic RumRunner model. This work provides a basis for better understanding human decision making in high consequent national security applications, and in particular, the individual characteristics that underlie adaptive thinking.
Stevens-Adams, Susan Marie; Abbott, Robert G.; Forsythe, James Chris; Trumbo, Michael Christopher Stefan; Haass, Michael Joseph; Hendrickson, Stacey M. Langfitt
1 UC SECURITY FRAMEWORK 2011 - 2012 #12;2 Contents Background..................................................................................................................................4 About UC Security & Campus Community Support .................................................................5 Security Service Authority and Relationship with NZ Police and Emergency Services ...........5
Hickman, Mark
The FRESCO Framework: An Overview
The dynamic composition of existing services into new services is at the core of service-oriented computing. The objective of FRESCO (Foundational Research on Service Composition) is to develop a framework that service providers can use in order to model, develop, and execute composite services. The FRESCO framework will include conceptual tools, such as models for service composition and aggregation. The framework will also include technology elements, such as an integrated development environment and specific components of the infrastructure for service execution. A methodology will be given for the use of the FRESCO framework in the development of composite service solutions. In this paper, we describe the main aspects of the approach to service composition adopted in FRESCO. 1.
Giacomo Piccinelli; Christian Zirpins; Winfried Lamersdorf
The PKDD Discovery Challenges on Thrombosis Data
The aim of the Discovery Challenge workshops held during PKDD conferences is to encourage a collaborative research effort when analyzing real world data. For PKDD'99 and PKDD2000 two data sets were available; from the financial and from the medical domain, for PKDD2001 only the medical data are used. There are two basic types of contibutions to the Challenge; in "method oriented" papers the authors describe their own approach and use the data mainly for demonstration, in "problem oreinted" papers the authors tried to solve a problem that can be interesting for the end user.
Petr Berka
Manhattan Project: Atomic Discoveries, 1890s-1939
Excerpt from the comic book "Adventures Inside the Atom." Click on this image or visit the "Library" to view the whole comic book. ATOMIC DISCOVERIES Excerpt from the comic book "Adventures Inside the Atom." Click on this image or visit the "Library" to view the whole comic book. ATOMIC DISCOVERIES (1890s-1939) Events A Miniature Solar System, 1890s-1919 Exploring the Atom, 1919-1932 Atomic Bombardment, 1932-1938 The Discovery of Fission, 1938-1939 Fission Comes to America, 1939 Philosophers of Ancient Greece reasoned that all matter in the universe must be composed of fundamental, unchangeable, and indivisible objects, which they called "atoma" ("ατoµα"). The exact nature of these atoms remained elusive, however, despite centuries of attempts by alchemists to create a "philosopher's stone" that could transmute atoms of lead to gold, prove the Greeks wrong, and make its inventors Modern model of an atom very rich. It was only in the late 1890s and the early twentieth-century that this view of a solid atom, bouncing around the universe like a billiard ball, was replaced by an atom that resembled more a miniature solar system, its electrons orbiting around a small nucleus. Explorations into the nature of the atom from 1919 to 1932 confirmed this new model, especially with Ernest Rutherford's 1919 success in finally transmuting an atom of one substance into another and with James Chadwick's 1932 discovery of the elusive final basic particle of the atom, the neutron. From 1932 to 1938, scientists around the world learned a great deal more about atoms, primarily by bombarding the nuclei of atoms and using a variety of particle accelerators. In 1938, word came from Berlin of the most startling result of them all: the nucleus of an atom could actually be split in two, or "fissioned." This breakthrough was quickly confirmed in the United States and elsewhere. According to the theories of Albert Einstein, the fission of an atom should result in a release of energy. An "atomic bomb" was now no longer just science fiction -- it was a distinct possibility.
Making frameworks work: a project retrospective
Various issues make framework development harder than regular development. Building product lines and frameworks requires increased coordination and communication between stakeholders and across the organization. The difficulty of building the right ... Keywords: experience report, object-oriented frameworks, product lines
Marwan Abi-Antoun
Medical Knowledge Morphing: Towards Case-Specific Integration of Heterogeneous Medical Knowledge Resources
Medical Knowledge Morphing: Towards Case-Specific Integration of Heterogeneous Medical Knowledge interplay between various medical knowledge modalities--the spectrum of medical knowledge modalities morphing--a knowledge modeling task that allows the integration of heterogeneous medical knowledge
Abidi, Syed Sibte Raza
Dark matter: the next great discovery of particle physics?: Ettore Majorana through the Looking-glass
As we celebrate the completion of the Standard Model with the discovery of a Higgs-like boson, some of us are working hard on what may be the next great discovery of particle physics. The problem of missing mass, which is now known as dark matter, has persisted for nearly a century. In this time, astrophysical evidence in favor of dark matter has only grown stronger. We now know that dark matter constitutes a majority of the matter in the Universe, yet it is not composed of any particle in the Standard Model. Dark matter is necessary for the formation of galaxies and galaxy clusters and hence has shaped the Universe as we know it. Despite this body of knowledge, we still don't know what particles compose dark matter or how they interact with the particles of the Standard Model. The answers to these remaining questions are being pursued on all frontiers of discovery. In this talk, I will provide an overview of the suite of experiments that is colloquially known as "direct detection" experiments. I will describe how these experiments aim to solve the dark matter puzzle, highlight some of the most promising efforts and conclude with a discussion on future prospects.
Hsu, Lauren [Fermilab
Single, Key Gene Discovery Could Streamline Production of Biofuels |
Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels Single, Key Gene Discovery Could Streamline Production of Biofuels August 11, 2011 - 3:51pm Addthis WASHINGTON, DC -- A team of researchers at the Department of Energy's BioEnergy Science Center (BESC) have pinpointed the exact, single gene that controls ethanol production capacity in a microorganism. This discovery could be the missing link in developing biomass crops that produce higher concentrations of ethanol at lower costs. "The Department of Energy relies on the scientific discoveries of its labs and research centers to improve the production of clean energy sources," said Energy Secretary Steven Chu. "This discovery is an important step in developing biomass crops that could increase yield of
A Conceptual Framework for Progressing Towards Sustainability...
Conceptual Framework for Progressing Towards Sustainability in the Agriculture and Food Sector Jump to: navigation, search Logo: A Conceptual Framework for Progressing Towards...
Dependency and false discovery rate: Asymptotics
Some effort has been undertaken over the last decade to provide conditions for the control of the false discovery rate by the linear step-up procedure (LSU) for testing $n$ hypotheses when test statistics are dependent. In this paper we investigate the expected error rate (EER) and the false discovery rate (FDR) in some extreme parameter configurations when $n$ tends to infinity for test statistics being exchangeable under null hypotheses. All results are derived in terms of $p$-values. In a general setup we present a series of results concerning the interrelation of Simes' rejection curve and the (limiting) empirical distribution function of the $p$-values. Main objects under investigation are largest (limiting) crossing points between these functions, which play a key role in deriving explicit formulas for EER and FDR. As specific examples we investigate equi-correlated normal and $t$-variables in more detail and compute the limiting EER and FDR theoretically and numerically. A surprising limit behavior occ...
Finner, Helmut; Roters, Markus
Building a strategic focus on knowledge
An emerging picture of what it takes to build a strategic focus on knowledge across the enterprise is beginning to take shape as the knowledge movement gains momentum in organisations across the globe. Organisations are applying knowledge management ... Keywords: communities, content management, culture change, document management, expertise-mapping, retention, intellectual capital, knowledge, knowledge management, knowledge sharing, knowledge worker, portals, repositories
Dan Holtshouse
Utah Coalbed Methane Proved Reserves New Field Discoveries (Billion...
Release Date: 812013 Next Release Date: 812014 Referring Pages: Coalbed Methane New Field Discoveries Utah Coalbed Methane Proved Reserves, Reserves Changes, and Production...
,"U.S. Coalbed Methane Proved Reserves New Reservoir Discoveries...
ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Coalbed Methane Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic...
A First in Combining Science Discovery Technologies: Federated...
to federated search is a major milestone in advancing scientific discovery, especially as R&D results are increasingly recorded in video, audio, animation, and visualization." OSTI...
Materials Design and Discovery: Catalysis and Energy Storage...
for propylene epoxidation. Larry Curtiss Materials Design and Discovery: Catalysis and Energy Storage PI Name: Larry Curtiss PI Email: firstname.lastname@example.com Institution: Argonne...
Mira: An Engine for Discovery | Argonne Leadership Computing...
Mira: An Engine for Discovery September 27, 2013 Printer-friendly version Every day, researchers around the country are working to understand mysterious phenomena, from the origins...
,"California Dry Natural Gas Reserves New Field Discoveries ...
Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Dry Natural Gas Reserves New Field Discoveries (Billion Cubic Feet)",1,"Annual",2011...
,"California Dry Natural Gas New Reservoir Discoveries in Old...
Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic...
,"Shale Natural Gas New Reservoir Discoveries in Old Fields ...
,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Shale Natural Gas New Reservoir Discoveries in Old Fields ",36,"Annual",2011,"6302009"...
Miscellaneous States Shale Gas Proved Reserves New Field Discoveries...
Available; W Withheld to avoid disclosure of individual company data. Release Date: 812013 Next Release Date: 812014 Referring Pages: Shale Natural Gas New Field Discoveries...
Cold Welding Discovery at the Nanoscale - Materials Technology ...
Feb 25, 2010 ... The discovery of these phenomena could be useful in development of high- density electronic devices, since heat-induced welds on the�...
Robert Curl, Jr. and the Discovery of Fullerenes
E. Smalley and Sir Harold Kroto 'for their 1985 discovery of "fullerenes," geometric carbon clusters shaped in the pattern of soccer balls. Though initially a subject of...
,"Texas Dry Natural Gas New Reservoir Discoveries in Old Fields...
,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic...
,"New Mexico Dry Natural Gas New Reservoir Discoveries in Old...
Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic...
Program on Technology Innovation: EPRI Framework for Assessment of Nuclear Fuel Cycle Options
EPRI is building a suite of tools for assessing nuclear fuel cycle options based on a platform of software, simplified relationships, and explicit decision-making and evaluation guidelines. This report describes a decision-support framework for assembling and structuring information for transparent auditable assessments as well as knowledge capture and transfer.The EPRI framework comprises evaluation and analysis at strategic, tactical, and readiness levels in regard to transformational ...
Programmatic Framework | Department of Energy
Programmatic Framework Programmatic Framework Programmatic Framework PROGRAM FACT SHEETS FUSRAP Nevada Offsites UMTRCA Title I and II PROGRAM TYPES UMTRCA Title I Sites UMTRCA Title II Sites FUSRAP Sites D&D Sites Nevada Offsites CERCLA/RCRA Sites NWPA Section 151 Site Other UMTRCA Title I Disposal and Processing Sites (Regulatory Drivers) For UMTRCA Title I disposal sites managed by LM, DOE becomes a licensee to the U.S. Nuclear Regulatory Commission (NRC). Inspection, reporting, and record-keeping requirements are defined in Title 10 Code of Federal Regulations (CFR) Part 40.27, "General License for Custody and Long-Term Care of Residual Radioactive Material Disposal Sites." The general license for long-term custody is indefinite in duration. Usually, title for the land is assigned to an agency of the Federal government, and the land is
Knowledge Assisted Visualization: Knowledge-assisted visualization of seismic data
We present novel techniques for knowledge-assisted annotation and computer-assisted interpretation of seismic data for oil and gas exploration. We describe the existing procedure for oil and gas search which consists of manually extracting information ... Keywords: 2D textures, 3D textures, Illustrative visualization, Knowledge-assisted visualization, Rapid interpretation, Seismic interpretation
Daniel Patel; �yvind Sture; Helwig Hauser; Christopher Giertsen; M. Eduard Gr�ller
The representation of inconsistent knowledge in advanced knowledge based systems
Contradiction handling is one of the central problems in AI. There are different approaches to dealing with contradictions and other types of inconsistency. We describe an approach based on logical varieties, which are complex structures constructed ... Keywords: inconsistent knowledge, legal knowledge based systems, logic of reasonable inferences, logical varieties
Mark Burgin; Kees C. N. J. de Vey Mestdagh
Framework for SCADA Security Policy
Framework for SCADA Security Policy Framework for SCADA Security Policy Dominique Kilman Jason Stamp firstname.lastname@example.com email@example.com Sandia National Laboratories Albuquerque, NM 87185-0785 Abstract - Modern automation systems used in infrastruc- ture (including Supervisory Control and Data Acquisition, or SCADA) have myriad security vulnerabilities. Many of these relate directly to inadequate security administration, which precludes truly effective and sustainable security. Adequate security management mandates a clear administrative struc- ture and enforcement hierarchy. The security policy is the root document, with sections covering purpose, scope, posi- tions, responsibilities, references, revision history, enforce- ment, and exceptions for various subjects relevant for system
Brookhaven National Laboratory - a passion for discovery
NLE Websites -- All DOE Office Websites
BNL People BNL People a passion for discovery 2013 Young Researcher Symposium Celebrating Brookhaven Lab's Up-and-Coming Scientists at 2013 Young Researcher Symposium Approximately 300 up-and-coming young researchers collaborating on groundbreaking research at Brookhaven Lab gathered in Berkner last month for the second-annual Young Researcher Symposium. More... Newsroom Video & Live Streaming Receive our weekly newsletter See all Latest News Adopt A Family BNLers Help Brighten Holidays for Local Families atomic-scale microscopy Opposing Phenomena Possible Key to High-Efficiency Electricity Delivery Steven Ritz Physicists Look Toward the High-Energy Horizon Our Mission We advance fundamental research in nuclear and particle physics to gain a deeper understanding of matter, energy, space, and time; apply photon
The Observational?Inductive Framework for Science
A new observational?inductive framework for science is emerging due to recent developments in sensors
Timothy E. Eastman
NIST Prototypes Framework for Evaluating Sustainability ...
NIST Prototypes Framework for Evaluating Sustainability Standards. ... Whatever the drivers, businesses are boosting their sustainability efforts. ...
Major Scientific Discoveries 319 Major Scientific
to be 13.7 billion years old n Identify the host objects for powerful gamma-ray bursts n Observe some for this research. Gamma-ray Bursts Knowledge of the existence of energetic bursts of emission in gamma rays from all across the sky was traced to the 1960s with the serendipitous detection of gamma-ray bursts
ISI Web of Knowledge111 , ,1111
ISI Web of Knowledge111 © , ,1111 -ISI Web of Knowledge (http://newisiknowledge.com) , , , . . -ISI Web of Knowledge : Web of Science(-1965) , . Biosis Previews(-1991) , ,, . MEDLINE(-1951) , , . Zoological Record(-1995). , . ISI Web of Knowledge . . -VPN( ). : 1.:http
Daniel, Rosenfeld
Ghana-Support for Future National Climate Change Policy Framework | Open
Page Page Edit with form History Facebook icon Twitter icon » Ghana-Support for Future National Climate Change Policy Framework Jump to: navigation, search Name CDKN-Ghana-Support for Future National Climate Change Policy Framework Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner Energy Research Centre of the Netherlands (ECN), University of Ghana Sector Climate, Energy, Land Topics Background analysis, Low emission development planning, Pathways analysis Website http://cdkn.org/project/assist Program Start 2010 Program End 2011 Country Ghana UN Region Western Africa References CDKN-Ghana-Support for Future National Climate Change Policy Framework[1] Policy brief[2]
Knowledge representation and machine translation
This paper describes a new knowledge representation called "frame knowledge representation-0" (FKR-0), and an experimental machine translation system named ATLAS/I which uses FKR-0.The purpose of FKR-0 is to stored information required for machine translation ...
Susumu Sawai; Hiromichi Fukushima; Masakatsu Sugimoto; Naoya Ukai
Electronic resource discovery systems: from user behaviour to design
Information seeking is a central part of academic development for both students and researchers. However, this is often hindered by complex and highly complicated electronic resource discovery systems. One approach to improving these resources is to ... Keywords: design principles, information seeking, interactive visualization, resource discovery systems, search, user interface
Hanna Stelmaszewska; B. L. William Wong; Simon Attfield; Raymond Chen
Formal logics of discovery and hypothesis formation by machine
The following are the aims of the paper: (1) To call the attention of the community of Discovery Science (DS) to certain existing formal systems for DS developed in Prague in the 1960s through the 1980s suitable for DS and unfortunately largely unknown. ... Keywords: GUHA method, data analysis, data mining, fuzzy logic, hypothesis generation, logic of discovery
Petr H�jek; Martin Holena
User interface model discovery: towards a generic approach
UI model discovery is a lightweight formal method in which a model of an interactive system is automatically discovered by exploring the system's state space, simulating the actions of a user; such models are then amenable to automatic analysis targetting ... Keywords: discovery tools, interaction programming, reverse engineering, structural usability
Andy Gimblett; Harold Thimbleby
Enabling efficient information discovery in a self-structured grid
One of the key success factors enabling the deployment of large scale grid systems is the existence of efficient resource discovery mechanisms. Accordingly, the main issues to be addressed by such a grid information system are those of scalability and ... Keywords: Collaborative ant algorithms, Grid computing, Overlay networks, Resource discovery
Amos Brocco; Apostolos Malatras; B�at Hirsbrunner
Developing a Regional Recovery Framework
Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.
Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody
A Framework for Proof Systems
Linear logic can be used as a meta-logic to specify a range of object-level proof systems. In particular, we show that by providing different polarizations within a focused proof system for linear logic, one can account for natural ... Keywords: Focusing, Linear logic, Logical framework, Meta-logic
Vivek Nigam; Dale Miller
Autonomic load-testing framework
In this paper, we present a method for performance testing of transactional systems. The methods models the system under test, finds the software and hardware bottlenecks and generate the workloads that saturate them. The framework is autonomic, the ... Keywords: autonomic system, performance models, performance testing, stress testing
Cornel Barna; Marin Litoiu; Hamoun Ghanbari
A framework for linguistic modelling
A new framework for linguistic reasoning is proposed based on a random set model of the degree of appropriateness of a label. Labels are assumed to be chosen from a finite predefined set of labels and the set of appropriate labels for a value is defined ... Keywords: Bayesian inference, fuzzy labels, label semantics, linguistic constraints, random sets
Jonathan Lawry
Discoveries | U.S. DOE Office of Science (SC)
Office of Science (SC) Website
Discoveries Discoveries Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights Benefits of BES Funding Opportunities Basic Energy Sciences Advisory Committee (BESAC) News & Resources Program Summaries Brochures Reports Accomplishments Discoveries Nobel Prizes Vignettes Archives Presentations BES and Congress Science for Energy Flow Seeing Matter Scale of Things Chart Contact Information Basic Energy Sciences U.S. Department of Energy SC-22/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: firstname.lastname@example.com More Information » Accomplishments Discoveries Print Text Size: A A A RSS Feeds FeedbackShare Page The Office of Basic Energy Sciences (BES) has been at the forefront of scientific discovery for several decades. BES staff and colleagues in March
V-122: IBM Tivoli Application Dependency Discovery Manager Java Multiple
2: IBM Tivoli Application Dependency Discovery Manager Java 2: IBM Tivoli Application Dependency Discovery Manager Java Multiple Vulnerabilities V-122: IBM Tivoli Application Dependency Discovery Manager Java Multiple Vulnerabilities March 29, 2013 - 6:00am Addthis PROBLEM: IBM has acknowledged multiple vulnerabilities in IBM Tivoli Application Dependency Discovery Manager PLATFORM: The vulnerabilities are reported in version 220.127.116.11 through 18.104.22.168 ABSTRACT: Multiple security vulnerabilities exist in the Java Runtime Environments (JREs) that can affect the security of IBM Tivoli Application Dependency Discovery Manager. REFERENCE LINKS: Secunia Advisory SA52829 IBM Security Bulletin 1631786 CVE-2012-1531 CVE-2012-3143 CVE-2012-3216 CVE-2012-4820 CVE-2012-4822 CVE-2012-5069 CVE-2012-5071 CVE-2012-5073 CVE-2012-5075 CVE-2012-5079
Role of Modeling and Simulation in Scientific Discovery | Department of
Role of Modeling and Simulation in Scientific Discovery Role of Modeling and Simulation in Scientific Discovery Role of Modeling and Simulation in Scientific Discovery January 29, 2013 - 10:14am Addthis Role of Modeling and Simulation in Scientific Discovery What are the key facts? Modeling and simulation supplement theory and experimentation, improving the scientific method. Industry that has embraced modeling and simulation has realized huge savings in cost and time in getting thier products to market. Modeling and simulation should never be viewed as a substitute for real-world experimentation. Scientific discovery, or understanding, involves the formulation of theory to explain observed phenomena, the design and execution of experiments to test theory and the feedback of experimental results to evolve theory. This
Towards knowledge management: a case study
Knowledge is the unique resource for value creation and maintenance in the emerging global economy. Contemporary organisations require diverse knowledge workers to develop knowledge competencies and also collaborate in multiple ways to create new knowledge ... Keywords: knowledge management, knowledge-driven organisation, learning strategy
R. P. Mohanty
Isolated proofs of knowledge and isolated zero knowledge
We consider proof of knowledge protocols where the cheating prover may communicate with some external adversarial environment during the run of the proof. Without additional setup assumptions, no witness hiding protocol can securely ensure that the prover ...
Ivan Damg�rd; Jesper Buus Nielsen; Daniel Wichs
An expert system framework for nondestructive waste assay
Management and disposition of transuranic (RU) waste forms necessitates determining entrained RU and associated radioactive material quantities as per National RU Waste Characterization Program requirements. Technical justification and demonstration of a given NDA method used to determine RU mass and uncertainty in accordance with program quality assurance is difficult for many waste forms. Difficulties are typically founded in waste NDA methods that employ standards compensation and/or employment of simplifying assumptions on waste form configurations. Capability to determine and justify RU mass and mass uncertainty can be enhanced through integration of waste container data/information using expert system and empirical data-driven techniques with conventional data acquisition and analysis. Presented is a preliminary expert system framework that integrates the waste form data base, alogrithmic techniques, statistical analyses, expert domain knowledge bases, and empirical artificial intelligence modules into a cohesive system. The framework design and bases in addition to module development activities are discussed.
Becker, G.K.
Continuous Time Group Discovery in Dynamic Graphs
With the rise in availability and importance of graphs and networks, it has become increasingly important to have good models to describe their behavior. While much work has focused on modeling static graphs, we focus on group discovery in dynamic graphs. We adapt a dynamic extension of Latent Dirichlet Allocation to this task and demonstrate good performance on two datasets. Modeling relational data has become increasingly important in recent years. Much work has focused on static graphs - that is fixed graphs at a single point in time. Here we focus on the problem of modeling dynamic (i.e. time-evolving) graphs. We propose a scalable Bayesian approach for community discovery in dynamic graphs. Our approach is based on extensions of Latent Dirichlet Allocation (LDA). LDA is a latent variable model for topic modeling in text corpora. It was extended to deal with topic changes in discrete time and later in continuous time. These models were referred to as the discrete Dynamic Topic Model (dDTM) and the continuous Dynamic Topic Model (cDTM), respectively. When adapting these models to graphs, we take our inspiration from LDA-G and SSN-LDA, applications of LDA to static graphs that have been shown to effectively factor out community structure to explain link patterns in graphs. In this paper, we demonstrate how to adapt and apply the cDTM to the task of finding communities in dynamic networks. We use link prediction to measure the quality of the discovered community structure and apply it to two different relational datasets - DBLP author-keyword and CAIDA autonomous systems relationships. We also discuss a parallel implementation of this approach using Hadoop. In Section 2, we review LDA and LDA-G. In Section 3, we review the cDTM and introduce cDTMG, its adaptation to modeling dynamic graphs. We discuss inference for the cDTM-G and details of our parallel implementation in Section 4 and present its performance on two datasets in Section 5 before concluding in Section 6.
Miller, K; Eliassi-Rad, T
A modelling approach to study learning processes with a focus on knowledge creation
In this paper, we present a modelling approach to study learning processes. We introduce the process/pedagogy/tools model and shown how its assembly-line style of process modelling can be used to describe which pedagogical aspects and which tools ... Keywords: LISREL method, SECI process framework, e-learning, knowledge conversion, knowledge creation, learning processes, online learning, pedagogical research, process modelling, validation, web-based learning
Ambjorn Naeve; Pertti Yli-Luoma; Milos Kravcik; Miltiadis D. Lytras
Mexico's Luna discoveries are more than moonshine
Just when it seemed that Mexico's petroleum reserves may have been overstated, the state oil company opened a new province. Petroleos Mexicanos (Pemex) geologists think the Luna area of Tabasco State and the Gulf of Mexico could add the condensate and gas equivalent of 20 billion bbl of light oil to Mexico's proven reserves. If true, this would be the largest discovery in Mexico since the Campeche Sound fields in 1976. To date, the new province stretches about 50 miles between the Caribbean coastal towns of Frontera and Puerto Ceiba in Tabasco State, and extends some 31 miles offshore (see map). Since the early 1970s, Pemex geologists have postulated that the entire Yucatan platform will prove productive. Luna finds reduce the distance between Campeche fields and onshore production to 93 miles. The Luna area is ideally suited for rapid development - it is about 40 miles northeast of Villahermosa, Tabasco, and within 60 miles of the export terminal at Dos Bocas near the border between Tabasco and Vera Cruz states. It is also less than 50 miles from the Cactus gas-processing and petrochemical plants in Chiapas State, which means that gas can be put into the country's trunk line that extends to the U.S. grid at Reynosa.
Stewart-Gordon, T.J.; Baker, G.T.
Stock market volatility and price discovery : three essays on the effect of macroeconomic information
of Macro Announcements: Real Time Price Discovery in Foreign93, 38�62. (2005): �Real Time Price Discovery in Stock, Bond
Rangel, Jose Gonzalo
SPARK: A Framework for Multi-Scale Agent-Based Biomedical Modeling
Multi-scale modeling of complex biological systems remains a central challenge in the systems biology community. A method of dynamic knowledge representation known as agent-based modeling enables the study of higher level behavior emerging from discrete ... Keywords: Agent-Based, Computer Simulation, Framework, Models, SPARK
Alexey Solovyev; Maxim Mikheev; Leming Zhou; Joyeeta Dutta-Moscato; Cordelia Ziraldo; Gary An; Yoram Vodovotz; Qi Mi
Review: Knowledge management and knowledge management systems: conceptual foundations and research issues
Knowledge is a broad and abstract notion that has defined epistemological debate in western philosophy since the classical Greek era. In the past few years, however, there has been a growing interest in treating knowledge as a significant organizational ... Keywords: knowledge management, knowledge management review, knowledge management systems, organizational knowledge management, research issues in knowledge management
Maryam Alavi; Dorothy E. Leidner
A General Framework for Convective Trigger Functions
A general framework for the trigger function used in convective parameterization routines in mesoscale models is proposed. The framework is based on the diagnosis of the accessibility of potential buoyant energy. Specifically, the trigger ...
Robert F. Rogers; J. M. Fritsch
Toward a Systematic Framework for Deploying Synchrophasors
Toward a Systematic Framework for Deploying Synchrophasors and their Utilization for Improving for Deploying Synchrophasors and their Utilization for Improving Performance of Future Electric Energy Systems a Systematic Framework for Deploying Synchrophasors and their Utilization for Improving Performance of Future
Metis: a thin-client application framework
This paper introduces a thin-client programming model and then presents an object-oriented framework for developing applications using the model. The programming model and the framework have evolved from interactions with developers and users of commercial ...
Deborra J. Zukowski; Apratim Purakayastha; Ajay Mohindra; Murthy Devarakonda
Gas adsorption on metal-organic frameworks
The present invention involves the use of certain metal organic frameworks that have been treated with water or another metal titrant in the storage of carbon dioxide. The capacity of these frameworks is significantly increased through this treatment.
Willis, Richard R. (Cary, IL); Low, John J. (Schaumburg, IL), Faheem, Syed A. (Huntley, IL); Benin, Annabelle I. (Oak Forest, IL); Snurr, Randall Q. (Evanston, IL); Yazaydin, Ahmet Ozgur (Evanston, IL)
A General Framework for Forecast Verification
A general framework for forecast verification based on the joint distribution of forecasts and observations is described. For further elaboration of the framework, two factorizations of the joint distribution are investigated: 1) the calibration-...
Allan H. Murphy; Robert L. Winkler
DRAFT Outline - Preliminary Framework to Reduce Cyber ...
Page 1. 1 DRAFT Outline - Preliminary Framework to Reduce Cyber Risks to Critical Infrastructure, July 1, 2013 NOTES ...
Developing a Framework to Improve Critical Infrastructure ...
... To that end any risk framework ... financial, telecommunications, transportation, energy, chemical, information ... heating and cooling, physical security ...
DOE Competency Framework | Department of Energy
managers, and supervisors. DOE Competency Framework More Documents & Publications Federal Employee Training Desk Reference DOE Competency Dictionary DOE General Competencies...
Comparison of Novel Microstructure Quantification Frameworks for ...
Bayesian inference of grain boundary properties from heterogeneous data � Comparison of Novel Microstructure Quantification Frameworks for Visualization, �...
Situated cognition and knowledge acquisition research
In the early years of knowledge acquisition research there was considerable discussion about the possibility of obtaining knowledge from experts, based on the ideas of situated cognition. The central idea from situated cognition was that knowledge is ... Keywords: Knowledge acquisition, Knowledge engineering, Ripple-Down Rules, Situated cognition
Paul Compton
Pantex night held at discovery center | National Nuclear Security
night held at discovery center | National Nuclear Security night held at discovery center | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex night held at discovery center Pantex night held at discovery center Posted By Office of Public Affairs More than 500 Pantexans and their families attended Pantex Night at the Don
National Nuclear Security Administration (NNSA)
A First in Combining Science Discovery Technologies: Federated Search and
A First in Combining Science Discovery Technologies: Federated Search and A First in Combining Science Discovery Technologies: Federated Search and Speech-Indexed Multimedia Office of Scientific & Technical Information NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE June 8, 2011 A First in Combining Science Discovery Technologies: Federated Search and Speech-Indexed Multimedia Oak Ridge, TN - The DOE Office of Scientific and Technical Information (OSTI) announced today a new tool in scientific discovery technology. Now citizens and researchers alike can search for both written and spoken words in a whole range of media using OSTI's new, speech-indexed multimedia within large scientific search portals. To this point, online searches for scientific information have been limited to text, such as within scientific
2006 Department of Energy Strategic Plan - Scientific Discovery and
Department of Energy Strategic Plan - Scientific Discovery and Department of Energy Strategic Plan - Scientific Discovery and Innovation 2006 Department of Energy Strategic Plan - Scientific Discovery and Innovation The United States has always been a Nation of innovators and the Department of Energy has been a major contributor to that legacy. DOE-supported basic research has produced Nobel Laureates, numerous paradigm-shifting scientific discoveries, and revolutionary technologies that have spawned entirely new industries. Such breakthroughs have created fundamentally new energy options, underpinned U.S. national security during challenging times, and contributed to the health of our citizenry and the stewardship of our Nation's environmental resources. This great engine of U.S. innovation has played an important role in fueling a strong economy and one
Utah Crude Oil + Lease Condensate New Reservoir Discoveries in...
New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 - No Data Reported; --...
Utah Crude Oil + Lease Condensate Reserves New Field Discoveries...
Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 2010's 0 0 - No Data Reported; -- Not...
,"U.S. Coalbed Methane Proved Reserves New Field Discoveries...
ame","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Coalbed Methane Proved Reserves New Field Discoveries (Billion Cubic Feet)",1,"Annual",2011 ,"Release...
Proximity-based service discovery in mobile ad hoc networks
Existing approaches to service discovery have been developed primarily for environments with a fixed network backbone and typically rely on centralized components being accessible to potential service clients at any given time. The characteristic lack ...
Ren� Meier; Vinny Cahill; Andronikos Nedos; Siobh�n Clarke
Structured Ontology and Information Retrieval for Email Search and Discovery
This paper discusses an document discovery tool based on formal concept analysis. The program allows users to navigate email using a visual lattice metaphor rather than a tree. It implements a virtual file structure over email where files and entire ...
Peter W. Eklund; Richard Cole
Press Pass - Press Release - July 19, 2013: Discovery of rare...
News Quantum Diaries Press Room 13-17 July 19, 2013 FOR IMMEDIATE RELEASE Discovery of rare decay narrows space for new physics After a quarter of a century of searching,...
The CloudBrowser web application framework
CloudBrowser is a web application framework that supports the development of rich Internet applications whose entire user interface and application logic resides on the server, while all client/server communication is provided by the framework. CloudBrowser ... Keywords: ajax, cloud applications, paas, remote display, server-centric, web application framework
Brian McDaniel; Godmar Back
CONTENTS JIP Leg II Discovery .......................1 Alaska Seep Studies .....................6
JIP Leg II Discovery .......................1 JIP Leg II Discovery .......................1 Alaska Seep Studies .....................6 Gas Hydrates Offshore Mexico 10 Alaska Reservoir Testing ...........12 Naval Research Laboratory Methane Hydrate Research .....17 Announcements ...................... 21 * Call for Papers * 2009 Hydrate Fellows * USGS Mendenhall Fellowship * AGU Annual Meeting * Moscow Conference * Gordon Research Conference Spotlight on Research .......... 24 Dan McConnell CONTACT Ray Boswell Technology Manager-Methane Hydrates, Strategic Center for Natural Gas & Oil 304-285-4541 email@example.com
On optimal TTL sequence-based route discovery in MANETs
In on-demand multi-hop routing protocols for MANETs such as DSR and AODV, a fundamental requirement for peer-to-peer connectivity is to discover routes to a remote node via flooding of route request messages. Historically, such floodings of requests have used a TTL (time-to-live) large enough to reach all nodes in the network to ensure successful route discovery in one round of flooding. Recently [1], it was shown that the generic minimal cost flooding search problem can be solved via a sequence of floodings with an optimally chosen set of TTLs. The theoretical result, when applied to DSR route discovery, does not take into account optimizations such as route caching and overhearing, which can significantly reduce the frequency and the propagation range of route discovery operations. Equally importantly, the impact of using a sequence of floodings on the packet delivery delay is not clear. In this paper, we study the impact of using the optimal TTL sequence-based route discovery on DSR routing performance. Our results show when caching and overhearing are considered, the route discovery enhanced by an optimal TTL sequence has very similar overhead but higher delay than the basic route discovery mechanism. 1
Dimitrios Koutsonikolas; Saumitra M. Das; Himabindu Pucha; Y. Charlie Hu
On Optimal TTL Sequence-Based Route Discovery in MANETs
In on-demand multi-hop routing protocols for MANETs such as DSR and AODV, a fundamental requirement for peer-to-peer connectivity is to discover routes to a remote node via flooding of route request messages. Historically, such floodings of requests have used a TTL (time-to-live) large enough to reach all nodes in the network to ensure successful route discovery in one round of flooding. Recently [1], it was shown that the generic minimal cost flooding search problem can be solved via a sequence of floodings with an optimally chosen set of TTLs. The theoretical result, when applied to DSR route discovery, does not take into account optimizations such as route caching and overhearing, which can significantly reduce the frequency and the propagation range of route discovery operations. Equally importantly, the impact of using a sequence of floodings on the packet delivery delay is not clear. In this paper, we study the impact of using the optimal TTL sequence-based route discovery on DSR routing performance. Our results show when caching and overhearing are considered, the route discovery enhanced by an optimal TTL sequence has very similar overhead but higher delay than the basic route discovery mechanism.
Dimitrios Koutsonikolas Saumitra; Dimitrios Koutsonikolas; Saumitra M. Das; Himabindu Pucha; Y. Charlie Hu
Challenges and Directions in Knowledge Asset Trading
This paper addresses the area that is at the intersection of Knowledge Management and Electronic Commerce. This area refers to the exchange and trade of explicit and implicit knowledge at an inter-organisational level. Electronic knowledge marketplaces ...
Dimitris Apostolou; Gregory Mentzas; Andreas Abecker; Wolf-Christian Eickhoff; Wolfgang Maas; Panos Georgolios; Kostas Kafentzis; Sophia Kyriakopoulou
The Fruition of 4f Discovery, The interplay of basic and applied research
A broad base of knowledge is necessary for the successful solution to applied problems, but on the other hand, developing such practical solutions can open the door to new and exciting adventures in basic research. Several such synergistic events are briefly described. These include the design and development of magnetic refrigerant materials (1) for the liquefaction of H{sub 2} gas, and (2) for near-room temperature cooling and refrigeration; and (3) the design and development of cryocooler regenerator materials. The first led to the discovery of both supercooling and superheating in the same substance (Dy and Er); the second to the discovery of the giant magnetocaloric effect, the colossal magnetostriction, and the giant magnetoresistance in the same substance [Gd{sub 5}(Si{sub x}Ge{sub 1-x}{sub 4})]; and the third the disappearance of three of the four magnetically ordered phases in Er by Pr additions in both high purity Er and commercial grade Er.
K.A. Gschneidner, Jr
Knowledge Assisted Visualization Knowledge-assisted visualization of seismic data
exploration. We describe the existing procedure for oil and gas search which consists of manually extracting for knowledge-assisted annotation and computer-assisted interpretation of seismic data for oil and gas. Introduction Whether we like it or not the world is dependent on energy. Oil and gas accounts for around 64
Business Metadata: Capturing Enterprise Knowledge: Capturing Enterprise Knowledge
People have a hard time communicating, and also have a hard time finding business knowledge in the environment. With the sophistication of search technologies like Google, business people expect to be able to get their questions answered about the business ... Keywords: Database Management
William H. Inmon; Bonnie O'Neil; Lowell Fryman
CDKN-Ghana-Support for Future National Climate Change Policy Framework |
Support for Future National Climate Change Policy Framework Support for Future National Climate Change Policy Framework Jump to: navigation, search Name CDKN-Ghana-Support for Future National Climate Change Policy Framework Agency/Company /Organization Climate and Development Knowledge Network (CDKN), United Kingdom Department for International Development Partner Energy Research Centre of the Netherlands (ECN), University of Ghana Sector Climate, Energy, Land Topics Background analysis, Low emission development planning, Pathways analysis Website http://cdkn.org/project/assist Program Start 2010 Program End 2011 Country Ghana UN Region Western Africa References CDKN-Ghana-Support for Future National Climate Change Policy Framework[1] Policy brief[2] "CDKN responded to a request by the Government of Ghana to help develop a
SEB Secretariat and Knowledge Manager
SEB Secretariat and Knowledge Manager SEB Secretariat and Knowledge Manager (SKM) Update Position was established last summer Among the duties and responsibilities are: Developing and maintaining source selection templates and forms Establishing, maintaining and disseminating Departmental SSO and SEB policy, procedures and guidance Establishing SEB reporting requirements and tracking status of SEB activities against established milestones 1 Documents and Templates Prepared or Revised To Date * Issued - Acquisition Guide Chapter 1.4 - SEB Monthly Status Report template * Under Review - Competitive Range Determination template - Source Selection Decision Document template - Source Selection Plan template - Acquisition Guide Chapter 7.1 Revision - Acquisition Guide Chapter 15.1 Revision
Technology and Access to Knowledge - CECM
Feb 9, 1998 ... Technology and Access to Knowledge. Mathematics as a branch of human knowledge is several millenia old, and though each individual�...
Inducing Morphemes Using Light Knowledge
Allomorphic variation, or form variation among morphs with the same meaning, is a stumbling block to morphological induction (MI). To address this problem, we present a hybrid approach that uses a small amount of linguistic knowledge in the form of orthographic ... Keywords: Morphological induction, allomorphy, computational linguistics, machine learning
Michael Tepper; Fei Xia
From data to knowledge mining
Most past approaches to data mining have been based on association rules. However, the simple application of association rules usually only changes the user's problem from dealing with millions of data points to dealing with thousands of rules. Although ... Keywords: Data Mining, Knowledge Cohesion, Ontology, Sense Making, Text Mining
Ana cristina Bicharra garcia; Inhauma Ferraz; Adriana s. Vivacqua
Temporal representation of ecological knowledge
This MSc thesis proposes a temporal logic to represent knowledge about seasonal cycles in ecosystems. The logic is mainly based on what we call modular temporal classes, and a simple temporal logic interpreter system is also defined and implemented to reason with ecological sentences expressed in a temporal language we call NatureTime.
Edjard De Souza Mota
Lesson 1 HEART SMART NUTRITION KNOWLEDGE = POWER Know Your Cholesterol Number High blood cholesterol is one of the three major risk factors for heart disease that you can change. The other two risk the disease. Heart disease is the number one killer of women and men in the United States. In 2008, over 16
DOE Announces Webinars on Getting Buy-In for Energy Efficiency...
Getting Buy-In for Energy Efficiency Projects and the Bioenergy Knowledge Discovery Framework DOE Announces Webinars on Getting Buy-In for Energy Efficiency Projects and the...
Indigenous knowledge organization: An Indian scenario
The basic component of any country's knowledge system is its Indigenous Knowledge (IK). This paper presents an overview of IK by defining it as a local and tacit knowledge that is unique to a given culture or society and forms the basis for local-level ... Keywords: IK initiatives, Indigenous knowledge, Protection and India, Social development
Siriginidi Subba Rao
Extending knowledge management to mobile workplaces
Knowledge and Knowledge Management (KM) are evolving into an increasingly eminent source of competitive advantage. However, for the time being, the potential of KM is usually limited to stationary workplaces. This excludes a multiplicity of mobile workers, ... Keywords: knowledge management, mobile added values, mobile business processes, mobile commerce, mobile knowledge management
Volker Derballa; Key Pousttchi
Community-Based Development of Knowledge Products
International organizations and government agencies have developed and collected a wealth of knowledge resources relevant to poor communities; however, the people who need these resources most often do not know these materials exist or are unable to ... Keywords: Community Knowledge Management, Graphical User Interfaces, Knowledge Networking, Knowledge Sharing, Multimedia
Zbigniew Mikolajuk
MAICE: a tool for knowledge representation
In the present work the software MAICE is shown as a solution for knowledge representation. This software is a visual modeling tool which allows to represent the rules that define a given knowledge universe, independently of specific application area ... Keywords: electrical systems management, electrical transformer diagnosis, fuzzy logic, knowledge modeling, knowledge representation
Fabricio M. Oliveira; Leizer Schnitman; Herman A. Lepkison; J. F. Corr�a; Almir L. N�ri, Jr.; J. A. M. Felippe de Souza
Velo: Riding the Knowledge Management Wave for Simulation and Modeling
Modern scientific enterprises are inherently knowledge-intensive. In general, scientific studies in domains such as geosciences, climate, and biology require the acquisition and manipulation of large amounts of experimental and field data in order to create inputs for large-scale computational simulations. The results of these simulations must then be analyzed, leading to refinements of inputs and models and further simulations. Further, these results must be managed and archived to provide justifications for publications and regulatory decisions that are based on these models. In this paper we describe our Velo framework that is designed as a reusable, domain independent knowledge management infrastructure for modeling and simulation. Velo leverages, integrates, and extends open source collaborative and content management technologies to create a scalable and flexible core platform that can be tailored to specific scientific domains. In this paper we describe the architecture of Velo for managing and associating the various types of data that are used and created in modeling and simulation projects, as well as the framework for integrating domain-specific tools. To demonstrate a realization of Velo, we describe the Geologic Sequestration Software Suite (GS3) that has been developed to support geologic sequestration modeling. This provides a concrete example of the inherent extensibility and utility of our approach.
Gorton, Ian; Sivaramakrishnan, Chandrika; Black, Gary D.; White, Signe K.; Purohit, Sumit; Madison, Michael C.; Schuchardt, Karen L.
Developing a Regulatory Framework for Extended Storage and Transportat...
Storage and Transportation Developing a Regulatory Framework for Extended Storage and Transportation Outline: Current Regulatory Framework Future Regulatory Needs Technical...
Microsoft Word - DOE Framework Final.docx
Washington, D.C. 20585 Washington, D.C. 20585 Hanford Tank Waste Retrieval, Treatment, and Disposition Framework September 24, 2013 Hanford Tank Waste Retrieval, Treatment, and Disposition Framework ii This page intentionally left blank. Hanford Tank Waste Retrieval, Treatment, and Disposition Framework iii CONTENTS 1. Introduction ............................................................................................................................................. 1 Immobilizing Radioactive Tank Waste at the Office of River Protection .................................................. 1 Current System Design ........................................................................................................................... 2 Addressing Technical Risks and Challenges .......................................................................................... 2
Using Knowledge Management and the . . .
Evidence based medicine (EBM) is a discipline which synthesises research findings on the effectiveness of medical treatments to support clinical decision making. To make a practical difference, this information needs to be disseminated and used in everyday clinical practice. This paper describes a highly successful knowledge management project, which uses the Internet to make the latest medical evidence available at the point of care. We describe how the project was implemented, its organisational impact, success factors and barriers encountered. The theoretical significance of this work is that this is one of the first empirical studies of a knowledge management project in the public sector. The practical significance of this study is that it provides a model for other similar organisations to follow in implementing such a project.
Daniel L. Moody; Graeme G. Shanks
Knowledge Strategies | Open Energy Information
Knowledge Strategies Knowledge Strategies Address 13 Atwell Ct Place Potomac, Maryland Zip 20854 Region Northeast - NY NJ CT PA Area Number of employees 1-10 Year founded 1981 Phone number 240-426-0770 Coordinates 39.0567453°, -77.1736144° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.0567453,"lon":-77.1736144,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Essential Body of Knowledge (EBK)
Energy.gov (U.S. Department of Energy (DOE))
The Office of the Chief Information Officer (OCIO) utilized DOE cyber security policy, industry best practices and lessons learned, and comprehensive internal needs assessments to identify fundamental cyber security functional roles and associated responsibilities. In addition, core competencies were identified that represent the �core� skill set needed by cyber security professionals to adequately fulfill their functional roles. This collective information was further used to define the Enterprise Essential Body of Knowledge (EBK).
Enterprise Risk Management (ERM) Framework for Directives
Directives, Delegations, and Requirements
Explains the new ERM framework for developing, revising, and reviewing directives. This memo directs the Office of Management to institutionalize ERM into the ...
Building Energy Transparency: A Framework for Implementing.....
Energy Transparency: A Framework for Implementing... Energy Rating & Disclosure Policy Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and...
California Evaluation Framework | Building Energy Codes Program
those studies. bpCaliforniaEvaluationFramework.pdf Document Details Affiliation: California Public Utilities Commission and the Project Advisory Group Focus: Adoption...
Gas sensor incorporating a porous framework
The disclosure provides sensor for gas sensing including CO.sub.2 gas sensors comprising a porous framework sensing area for binding an analyte gas.
Yaghi, Omar M.; Czaja, Alexander U.; Wang, Bo; Furukawa, Hiroyasu; Galatsis, Kosmas; Wang, Kang L.
Metal Organic Frameworks for Clean Energy Applications
Symposium, Materials Issues in Nuclear Waste Management in the 21st Century. Presentation Title, Metal Organic Frameworks for Clean Energy Applications.
Cobalt discovery replaces precious metals as industrial catalyst
Cobalt Discovery Replaces Precious Metals Cobalt Discovery Replaces Precious Metals Cobalt discovery replaces precious metals as industrial catalyst Cobalt holds promise as an industrial catalyst with potential applications in such energy-related technologies such as production of biofuels and reduction of carbon dioxide. November 26, 2012 The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. Contact Nancy Ambrosiano Communications Office (505) 699-1149 Email Catalysts are also integral to thousands of industrial, synthetic, and
Cobalt discovery replaces precious metals Cobalt discovery replaces precious metals Cobalt discovery replaces precious metals as industrial catalyst Cobalt holds promise as an industrial catalyst with potential applications in such energy-related technologies such as production of biofuels and reduction of carbon dioxide. November 26, 2012 The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. The artwork depicts the substitution of cobalt for precious metals in catalysis as a variation on the ancient alchemical theme of transmuting base metals into precious ones. Contact Nancy Ambrosiano Communications Office (505) 699-1149 Email Catalysts are also integral to thousands of industrial, synthetic, and
Lab Breakthrough: Nanomaterials Discoveries Lead to Possible Cancer
Lab Breakthrough: Nanomaterials Discoveries Lead to Possible Cancer Lab Breakthrough: Nanomaterials Discoveries Lead to Possible Cancer Treatment Lab Breakthrough: Nanomaterials Discoveries Lead to Possible Cancer Treatment June 4, 2012 - 3:05pm Addthis Argonne nanoscientist Elena Rozhkova is studying ways to enlist nanoparticles to treat brain cancer. This nano-bio technology may eventually provide an alternative form of therapy that targets only cancer cells and does not affect normal living tissue. View the entire Lab Breakthrough playlist. Michael Hess Michael Hess Former Digital Communications Specialist, Office of Public Affairs What is a nano-bio catalyst? A nanoparticle that triggers specific reactions in cells. The particle attaches to unwanted (tumor) cells, and when researchers shine light on them, they kill the cells through oxidation.
Flow cytometry aids basic cell biology research and drug discovery
Flow cytometry aids basic cell biology research and drug discovery Flow cytometry aids basic cell biology research and drug discovery Flow cytometry aids basic cell biology research and drug discovery Life Technologies Corporation and LANL have released the Attune® Acoustic Focusing Cytometer, featuring a reduced footprint, reduced consumables, and an affordable price. April 3, 2012 Attune® Acoustic Focusing Cytometer The Attune® Acoustic Focusing Cytometer achieves sample throughput at rates over 10 times faster than other cytometers-up to 1,000 μL per minute. In December 2009, Life Technologies Corporation announced the release of the Attune® Acoustic Focusing Cytometer, a first-of-its-kind cytometer system based on technology developed at Los Alamos National Laboratory (LANL). Examining cells has never been clearer with LANL's use of acoustic waves
The Top Quark, Its Discovery, and Subsequent Research
The Top Quark, Its Discovery, and Subsequent Research The Top Quark, Its Discovery, and Subsequent Research Resources with Additional Information 'Ever since the existence of the bottom (or b) quark was inferred from the discovery of the Upsilon family of resonances at Fermilab in 1977, particle physicists have been on the lookout for its partner, called top (or t). The long search, which occupied experimenters at laboratories around the world, came to a successful conclusion in February 1995 with the announcement that the top quark had been observed in two experiments at the Tevatron proton-antiproton collider at Fermilab. ... Top Quark Courtesy Fermilab Top is the last of the fundamental constituents of subnuclear matter that theories of the strong, weak, and electromagnetic interactions and a wealth of experimental information had led particle physicists to expect. Theoretically, top's existence was required to make the electroweak theory internally consistent.'1
Melvin Schwartz and the Discovery of the Muon Neutrino
Melvin Schwartz and the Discovery of the Muon Neutrino Melvin Schwartz and the Discovery of the Muon Neutrino Resources with Additional Information Melvin Schwartz Courtesy Brookhaven National Laboratory Melvin Schwartz was the co-winner of the 1988 Nobel Prize in Physics "for the neutrino beam method and the demonstration of the doublet structure of the leptons through the discovery of the muon neutrino". 'In 1962, Schwartz, with Leon Lederman and Jack Steinberger ... discovered the muon neutrino at the Alternating Gradient Synchrotron (AGS), the then brand-new accelerator at the U.S. Department of Energy's Brookhaven National Laboratory. ... First coming to Brookhaven in 1955, Schwartz performed his Ph.D. thesis research through 1956 at the Laboratory's first accelerator, the Cosmotron. While finishing his thesis, he was employed by the Laboratory from 1956-58.
Creative Discovery Museum : BioEnergy Science Center
The Creative Discovery Museum The Creative Discovery Museum BESC reaches thousands of students with 'Farming for Fuels' lessons The DOE BioEnergy Science Center and the Creative Discovery Museum in Chattanooga, TN, have developed a set of hands-on lesson plans on BioFuels aimed at students in fourth, fifth and sixth grades. These "Farming for Fuels" lessons educate students about the carbon cycle, the use of lignocellulosic biomass as a substrate for the production of biofuels and the technical and economic obstacles to a bio-based fuel economy. The nationally expanded outreach program has now reached more than 60,000 students, teachers and parents by partnering with museums and centers in Tennessee, Georgia, Texas, Michigan, Illinois, Florida, New York and Arizona. To extend use of the lessons to the general public we have assembled
Tools for Discovery Offer Potential Hope for Huntington's | Department of
Tools for Discovery Offer Potential Hope for Huntington's Tools for Discovery Offer Potential Hope for Huntington's Tools for Discovery Offer Potential Hope for Huntington's May 25, 2011 - 3:24pm Addthis Flora Meilleur prepares protein solutions for structural investigation with neutrons. | Courtesy of ORNL Flickr / Jason Richards Flora Meilleur prepares protein solutions for structural investigation with neutrons. | Courtesy of ORNL Flickr / Jason Richards Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science What does this mean for me? Scientists at ORNL's Center for Structural Molecular Biology are using Bio-SANS to see how biological structures look in their natural state ORNL's tools are leading to better targets and perhaps even potential treatments for diseases like Huntington's. Sometimes the right tool can shape the world . . . or even better, touch a
Machine-learning algorithm aims to accelerate materials discovery | Argonne
Science Science Computing, Environment & Life Sciences Energy Engineering & Systems Analysis Photon Sciences Physical Sciences & Engineering Energy Frontier Research Centers Science Highlights Postdoctoral Researchers Machine-learning algorithm aims to accelerate materials discovery July 16, 2013 Tweet EmailPrint A research team led by Argonne Leadership Computing Facility computational chemist Anatole von Lilienfeld is developing an algorithm that combines quantum chemistry with machine learning (artificial intelligence) to enable atomistic simulations that predict the properties of new materials with unprecedented speed. From innovations in medicine to novel materials for next-generation batteries, this approach could greatly accelerate the pace of materials discovery, with high-performance
Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric
Alternative Fuels and Advanced Vehicles Data Center (EERE)
Camp Discovery Helps Camp Discovery Helps Kids Build an Electric Dune Buggy to someone by E-mail Share Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Facebook Tweet about Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Twitter Bookmark Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Google Bookmark Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Delicious Rank Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on Digg Find More places to share Alternative Fuels Data Center: Camp Discovery Helps Kids Build an Electric Dune Buggy on AddThis.com... Feb. 5, 2011 Camp Discovery Helps Kids Build an Electric Dune Buggy
Demand Response Valuation Frameworks Paper
While there is general agreement that demand response (DR) is a valued component in a utility resource plan, there is a lack of consensus regarding how to value DR. Establishing the value of DR is a prerequisite to determining how much and what types of DR should be implemented, to which customers DR should be targeted, and a key determinant that drives the development of economically viable DR consumer technology. Most approaches for quantifying the value of DR focus on changes in utility system revenue requirements based on resource plans with and without DR. This ''utility centric'' approach does not assign any value to DR impacts that lower energy and capacity prices, improve reliability, lower system and network operating costs, produce better air quality, and provide improved customer choice and control. Proper valuation of these benefits requires a different basis for monetization. The review concludes that no single methodology today adequately captures the wide range of benefits and value potentially attributed to DR. To provide a more comprehensive valuation approach, current methods such as the Standard Practice Method (SPM) will most likely have to be supplemented with one or more alternative benefit-valuation approaches. This report provides an updated perspective on the DR valuation framework. It includes an introduction and four chapters that address the key elements of demand response valuation, a comprehensive literature review, and specific research recommendations.
Heffner, Grayson
Situated Learning and the Situated Knowledge Web: Exploring the Ground Beneath Knowledge Management
Knowledge is now recognized as an important basis for competitive advantage and many firms are beginning to establish initiatives to leverage and manage organizational knowledge. These include efforts to codify knowledge in repositories as well as efforts ... Keywords: Ethnographic Methods, Knowledge Management, Organizational Change, Qualitative Research, Situated Knowledge, Web Situated Learning
Sarma R. Nidumolu; Mani Subramani; Alan Aldrich
Reference framework for E-participation projects
Accommodating the various requirements from distinct perspectives in e-participation calls for a holistic engineering approach for e-participation systems analysis and design. This paper presents research results towards a reference framework for e-participation ... Keywords: E-participation, reference framework, reference model
Sabrina Scherer; Maria A. Wimmer
Control and Navigation Framework for Quadrotor Helicopters
This paper presents the development of a nonlinear quadrotor simulation framework together with a nonlinear controller. The quadrotor stabilization and navigation problems are tackled using a nested loops control architecture. A nonlinear Backstepping ... Keywords: Backstepping, Gazebo, Navigation, Nonlinear control, Open dynamics engine, Quadrotor, Simulation framework
Amr Nagaty; Sajad Saeedi; Carl Thibault; Mae Seto; Howard Li
A Risk Minimization Framework for Information Retrieval
A Risk Minimization Framework for Information Retrieval ChengXiang Zhai a John Lafferty b Carnegie Mellon University Abstract This paper presents a probabilistic information retrieval framework of decades of research in information retrieval, many different information retrieval models have been
Lafferty, John
A Risk Minimization Framework for Information Retrieval ChengXiang Zhai a John Lafferty b a University Abstract This paper presents a probabilistic information retrieval framework in which in information retrieval, many different information retrieval models have been proposed and studied. While
From patterns to frameworks to parallel programs
Object-oriented programming, design patterns, and frameworks are abstraction techniques that have been used to reduce the complexity of sequential programming. This paper describes our approach of applying these three techniques to the more difficult ... Keywords: design patterns, object-oriented frameworks, parallel programming systems
S. MacDonald; J. Anvik; S. Bromling; J. Schaeffer; D. Szafron; K. Tan
Framework Oriented Approach to Eco-Tourism
This paper discusses an approach for eco-tourism. The paper also addresses the cost-benefit analysis of different parameters which can help in designing a framework. The principles of eco tourism emphasizes on the win-win situation for both the Commercial ... Keywords: Cost-Benefit Analysis, Eco-Tourism, Framework for Eco-Tourism, Green Technology, Stakeholders Issues
Sanjay Mohapatra, Tripti Naswa
Cellular Energy Efficiency Evaluation Framework (Invited Paper)
Cellular Energy Efficiency Evaluation Framework (Invited Paper) Gunther Auer, Vito Giannini, Istv, the power consumption of the entire system needs to be captured and an appropriate energy efficiency evaluation frameworks are discussed, such that the energy efficiency of the entire network comprising
Stevenson, Paul
Discovery of Scandium, Titanium, Mercury, and Einsteinium Isotopes
Currently, twenty-three scandium, twenty-five titanium, forty mercury and seventeen einsteinium isotopes have been observed and the discovery of these isotopes is discussed here. For each isotope a brief synopsis of the first refereed publication, including the production and identification method, is presented.
D. Meierfrankenfeld; A. Bury; M. Thoennessen
Multistrategy Discovery and Detection of Novice Programmer Errors
Detecting and diagnosing errors in novice behavior is an important student modeling task. In this paper, we describe MEDD, an unsupervised incremental multistrategy system for the discovery of classes of errors from, and their detection in, novice programs. ... Keywords: conceptual clustering, multistrategy learning, student modeling, unsupervised learning
Raymund C. Sison; Masayuki Numao; Masamichi Shimura
With the Cosmic Origins Spectrograph on board the Hubble Space Telescope, we have detected molecular hydrogen in the atmospheres of three white dwarfs with effective temperatures below 14,000 K, G29-38, GD 133, and GD 31. This discovery provides new independent constraints on the stellar temperature and surface gravity of white dwarfs.
Xu, S.; Jura, M.; Klein, B.; Zuckerman, B. [Department of Physics and Astronomy, University of California, Los Angeles, CA 90095-1562 (United States); Koester, D., E-mail: firstname.lastname@example.com, E-mail: email@example.com, E-mail: email@example.com, E-mail: firstname.lastname@example.com, E-mail: firstname.lastname@example.com [Institut fur Theoretische Physik und Astrophysik, University of Kiel, D-24098 Kiel (Germany)
Formal Logics of Discovery and Hypothesis Formation by Machine
The following are the aims of the paper: (1) To call the attention of the community of Discovery Science to certain existing formal systems for DS developed in Prague in 60's till 80's suitable for DS and unfortunately largely unknown. (2) To illustrate ...
Discovery of non-induced patterns from sequences
Discovering patterns from sequence data has significant impact in genomics, proteomics and business. A problem commonly encountered is that the patterns discovered often contain many redundancies resulted from fake significant patterns induced by their ... Keywords: sequence pattern discovery, statistically induced patterns, suffix tree
Andrew K. C. Wong; Dennis Zhuang; Gary C. L. Li; En-Shiun Annie Lee
A user study of relevance judgments for e-discovery
This paper presents a comparative user study that investigates the relevance judgments made by assessors with a law background and assessors without. Four law students and four library and information studies (LIS) students were recruited to judge independently ... Keywords: e-discovery, relevance judgment
Jianqiang Wang; Dagobert Soergel
Minimalist object oriented service discovery protocol for wireless sensor networks
This paper presents a new Service Discovery Protocol (SDP) suitable for Wireless Sensor Networks (WSN). The restrictions that are imposed by ultra low-cost sensor and actuators devices (basic components of a WSN) are taken into account to reach a minimal ...
D. Villa; F. J. Villanueva; F. Moya; F. Rinc�n; J. Barba; J. C. L�pez
Enterprise application reuse: Semantic discovery of business grid services
Web services have emerged as a prominent paradigm for the development of distributed software systems as they provide the potential for software to be modularized in a way that functionality can be described, discovered and deployed in a platform independent ... Keywords: Ontological modeling, Semantic Grid, Semantic search, Service discovery
David Bell; Simone A. Ludwig; Mark Lycett
Strangeness The discoveries of the strange particles, 19431959
that that hypothesis explained some discrepancies in the events reported earlier by Fowler et al. The discovery. Fowler, H. Muirhead, C. F. Powell, and D. M. Ritson, "Observations with Electron-Sensitive Plates Exposed, and Identification of the Secondary V-Decay Event in a Cascade." Phys. Rev., 94, 161 (1954). 3.12 W. B. Fowler, R. P
Murayama, Hitoshi
The software behind the Higgs boson discovery David Rousseau1,
The software behind the Higgs boson discovery David Rousseau1, 1 Laboratoire de l software development effort associated with teasing out evi- dence for the elusive Higgs boson that is very likely the Higgs boson. This particle was theorized almost 50 years ago to have the very special
Behavior-aware, Unified Service Discovery Michael Pantazoglou, Aphrodite Tsalgatidou
Athens, Greece Phone: +30 210 727 5206 {michaelp, email@example.com George Spanoudakis City University Department of Computing Northampton Square, London EC1V 0HB, UK Phone: +44 20 7040 8346 email@example.com rendering itself available for discovery and reuse. In terms of their exposed interfaces, both atomic
Spanoudakis, George
Asset Locator - A Framework for Enterprise Software Asset Management
This paper introduces the Enterprise Software Asset Management (ESAM) paradigm, which defines an approach to doing automated software asset management. ESAM is a comprehensive integrated solution supporting search and reuse, collaboration, knowledge sharing, impact analysis, and other enterprise-centric services. We describe Asset Locator, a low-cost, scalable and extensible solution that realizes ESAM. Asset Locator uses a set of autonomous scheduled crawlers that scan enterprise repositories to discover development resources. A set of domain-specific analyzers process the discovered resources by identifying and extracting semantic features. Powerful search and navigation engines enable clients to explore the analyzed information. The design of Asset Locator as an extensible framework has enabled its easy integration into several IBM product offerings. 1
Avi Yaeli; Alex Akilov; Sara Porat; Iftach Ragoler; Shlomit Shachor-ifergan; Gabi Zodik
Knowledge sharing between design and manufacture
The aim of this research is to develop a representation method that allows knowledge to be readily shared between collaborating systems (agents) in a design/manufacturing environment. Improved mechanisms for interpreting the terms used to describe knowledge ...
Sean D. Cochrane; Keith Case; Robert I. Young; Jenny A. Harding; Samir Dani
A precise computational approach to knowledge
The seminal work of Goldwasser, Micali and Rackoff put forward a computational approach to knowledge in interactive systems, providing the foundation of modern Cryptography. Their notion bounds the knowledge of a player ...
Pass, Rafael (Rafael Nat Josef)
Multi-dimensional Dynamic Knowledge Representation
According to Dynamic Logic Programming (DLP), knowledge may be given by a sequence of theories (encoded as logic programs) representing different states of knowledge. These may represent time (e.g. in updates), specificity (e.g. in taxonomies), strength ...
Jo�o Alexandre Leite; Jos� J�lio Alferes; Lu�s Moniz Pereira
A framework for organizing the space of decision problems with application to solving subjective, context-dependent problems
Developing Decision Support Systems (DSS) is a difficult task, prone to errors and susceptible to colossal failures. In order to alleviate this difficulty and its consequences, we propose a framework for organizing the space of decision problems based ... Keywords: Case-based reasoning, Clustering, Decision problems characteristics, Influence knowledge graph, Software development
Yoram Reich; Adi Kapeliuk
A modeling framework for investment planning in interdependent infrastructures in multi-hazard environments.
Currently, much of protection planning is conducted separately for each infrastructure and hazard. Limited funding requires a balance of expenditures between terrorism and natural hazards based on potential impacts. This report documents the results of a Laboratory Directed Research&Development (LDRD) project that created a modeling framework for investment planning in interdependent infrastructures focused on multiple hazards, including terrorism. To develop this framework, three modeling elements were integrated: natural hazards, terrorism, and interdependent infrastructures. For natural hazards, a methodology was created for specifying events consistent with regional hazards. For terrorism, we modeled the terrorist's actions based on assumptions regarding their knowledge, goals, and target identification strategy. For infrastructures, we focused on predicting post-event performance due to specific terrorist attacks and natural hazard events, tempered by appropriate infrastructure investments. We demonstrate the utility of this framework with various examples, including protection of electric power, roadway, and hospital networks.
Brown, Nathanael J. K.; Gearhart, Jared Lee; Jones, Dean A.; Nozick, Linda Karen; Prince, Michael
A tree-based approach to matchmaking algorithms for resource discovery
One of the essential operations in a distributed computing is resource discovery. A resource discovery service provides mechanisms to identify the set of resources capable of satisfying the requirements of a job from a large collection of resources. ...
Md. Rafiqul Islam; Md. Zahidul Islam; Nazia Leyla
Designing and Supporting Computer Networks, CCNA Discovery Learning Guide (Companion Guide), 1 Pap/Cdr edition
Designing and Supporting Computer Networks CCNA Discovery Learning Guide Kenneth D. Stewart III Aubrey Adams Designing and Supporting Computer Networks, CCNA Discovery Learning Guide is the official supplemental textbook for the Designing and Supporting ...
Kenneth Stewart; Aubrey Adams; Allan Reid; Jim Lorenz
U.S. Natural Gas Plant Liquids, Reserves New Field Discoveries...
New Field Discoveries (Million Barrels) U.S. Natural Gas Plant Liquids, Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...
U.S. Natural Gas Plant Liquids, New Reservoir Discoveries in...
Liquids, New Reservoir Discoveries in Old Fields (Million Barrels) U.S. Natural Gas Plant Liquids, New Reservoir Discoveries in Old Fields (Million Barrels) Decade Year-0 Year-1...
Chromatin-driven de novo discovery of DNA binding motifs in the human malaria parasite
as: Harris et al. : Chromatin-driven de novo discovery ofARTICLE Open Access Chromatin-driven de novo discovery ofis now evidence that the chromatin architecture plays an
Harris, Elena Y; Ponts, Nadia; Le Roch, Karine G; Lonardi, Stefano
U.S. Shale Proved Reserves New Field Discoveries (Billion Cubic...
View History: Annual Download Data (XLS File) U.S. Shale Proved Reserves New Field Discoveries (Billion Cubic Feet) U.S. Shale Proved Reserves New Field Discoveries (Billion Cubic...
U.S. Crude Oil + Lease Condensate Reserves New Field Discoveries...
New Field Discoveries (Million Barrels) U.S. Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...
New Mexico Dry Natural Gas New Reservoir Discoveries in Old Fields...
New Reservoir Discoveries in Old Fields (Billion Cubic Feet) New Mexico Dry Natural Gas New Reservoir Discoveries in Old Fields (Billion Cubic Feet) Decade Year-0 Year-1 Year-2...
Performance evaluation of robotic knowledge representation (PERK)
In this paper, we explore some ways in which symbolic knowledge representations have been evaluated in the past and provide some thoughts on what should be considered when applying and evaluating these types of knowledge representations for real-time ... Keywords: knowledge representation, ontologies, performance metrics, real-time, robotics
Craig Schlenoff; Sebti Foufou; Stephen Balakirsky
Knowledge awareness in CSCL: A psychological perspective
In this paper, a specific group awareness approach for CSCL settings, namely knowledge awareness, is presented. We classify knowledge awareness in relation to already well-established concepts like shared mental models, common ground, and transactive ... Keywords: Computer-supported collaborative learning, Group awareness, Knowledge awareness, Spatially distributed groups
Tanja Engelmann; Jessica Dehler; Daniel Bodemer; J�rgen Buder
Interoperability Context-Setting Framework
As the deployment of automation technology advances, it touches upon many areas of our corporate and personal lives. A trend is emerging where systems are growing to the extent that integration is taking place with other systems to provide even greater capabilities more efficiently and effectively. GridWise� provides a vision for this type of integration as it applies to the electric system. Imagine a time in the not too distant future when homeowners can offer the management of their electricity demand to participate in a more efficient and environmentally friendly operation of the electric power grid. They will do this using technology that acts on their behalf in response to information from other components of the electric system. This technology will recognize their preferences to parameters such as comfort and the price of energy to form responses that optimize the local need to a signal that satisfies a higher-level need in the grid. For example, consider a particularly hot day with air stagnation in an area with a significant dependence on wind generation. To manage the forecasted peak electricity demand, the bulk system operator issues a critical peak price warning. Their automation systems alert electric service providers who distribute electricity from the wholesale electricity system to consumers. In response, the electric service providers use their automation systems to inform consumers of impending price increases for electricity. This information is passed to an energy management system at the premises, which acts on the homeowner�s behalf, to adjust the electricity usage of the onsite equipment (which might include generation from such sources as a fuel cell). The objective of such a system is to honor the agreement with the electricity service provider and reduce the homeowner�s bill while keeping the occupants as comfortable as possible. This will include actions such as moving the thermostat on the heating, ventilation, and air-conditioning (HVAC) unit up several degrees. The resulting load reduction becomes part of an aggregated response from the electricity service provider to the bulk system operator who is now in a better position to manage total system load with available generation. Looking across the electric system, from generating plants, to transmission substations, to the distribution system, to factories, office parks, and buildings, automation is growing, and the opportunities for unleashing new value propositions are exciting. How can we facilitate this change and do so in a way that ensures the reliability of electric resources for the wellbeing of our economy and security? The GridWise Architecture Council (GWAC) mission is to enable interoperability among the many entities that interact with the electric power system. A good definition of interoperability is, �The capability of two or more networks, systems, devices, applications, or components to exchange information between them and to use the information so exchanged.� As a step in the direction of enabling interoperability, the GWAC proposes a context-setting framework to organize concepts and terminology so that interoperability issues can be identified and debated, improvements to address issues articulated, and actions prioritized and coordinated across the electric power community.
Widergren, Steven E.; Hardin, Dave; Ambrosio, Ron; Drummond, R.; Gunther, E.; Gilchrist, Grant; Cohen, David
U.S. Department of Energy Scientific Discovery through Advanced Computing SciDAC 2010
U.S. Department of Energy Scientific Discovery through Advanced Computing SciDAC 2010 Dream beams. Introduction 261 #12;U.S. Department of Energy Scientific Discovery through Advanced Computing SciDAC 2010 Figure 1. 262 #12;U.S. Department of Energy Scientific Discovery through Advanced Computing SciDAC 2010 2
Geddes, Cameron Guy Robinson
An upper bound on the hardness of exact matrix based motif discovery
Motif discovery is the problem of finding local patterns or motifs from a set of unlabeled sequences. One common representation of a motif is a Markov model known as a score matrix. Matrix based motif discovery has been extensively studied but no positive ... Keywords: Combinatorics, Computational complexity, Motif discovery, String algorithm, Transcription factor binding site prediction
Paul Horton; Wataru Fujibuchi
Integrating service discovery with routing and session management for ad-hoc networks
In this paper, we propose GSR: a new routing and session management protocol for ad-hoc networks as an integral part of a service discovery infrastructure. Traditional approaches place routing at a layer below service discovery. While this distinction ... Keywords: Ad-hoc networks, Routing, Service discovery, Service-centric routing, Session management
Dipanjan Chakraborty; Anupam Joshi; Yelena Yesha
A proposed open cognitive architecture framework
This paper describes a proposed general-purpose cognitive architecture known as the Open Cognitive Architecture Framework (OpenCAF) capable of representing complex intelligent behavior for a variety of applications. This new cognitive architecture ...
Jeffrey S. Steinman; Craig N. Lammers; Maria E. Valinski
IDebug: An Advanced Debugging Framework for Java
IDebug, the Infospheres debugging framework, is an advanced debugging framework for Java. This framework provides the standard core debugging and specification constructs such as assertions, debug levels and categories, stack traces, and specialized exceptions. Debugging functionality can be fine-tuned to a per-thread and/or a per-class basis, debugging contexts can be stored to and recovered from persistent storage, and several aspects of the debugging run-time are configurable at the meta-level. Additionally, the framework is designed for extensibility. Planned improvements include support for debugging distributed object systems via currying call stacks across virtual machine contexts and debug information logging with a variety of networking media including unicast, multicast, RMI, distributed events, and JavaSpaces. Finally, we are adding support for debugging mobile agent systems by providing mobile debug logs. 1 Introduction Programming technologies have evolved greatly over th...
Joseph R. Kiniry
A framework for technology forecasting and visualization
This paper presents a novel framework for supporting the development of well-informed research policies and plans. The proposed methodology is based on the use of bibliometrics; i.e., analysis is conducted using information ...
Woon, Wei Lee
A Framework for Technology Forecasting and Visualization
A Bayesian Framework for Multimodel Regression
This paper presents a framework based on Bayesian regression and constrained least squares methods for incorporating prior beliefs in a linear regression problem. Prior beliefs are essential in regression theory when the number of predictors is ...
Timothy DelSole
Netgauge: a network performance measurement framework
This paper introduces Netgauge, an extensible open-source framework for implementing network benchmarks. The structure of Netgauge abstracts and explicitly separates communication patterns from communication modules. As a result of this separation of ...
Torsten Hoefler; Torsten Mehlan; Andrew Lumsdaine; Wolfgang Rehm
Flexible Residential Smart Grid Simulation Framework
Different scheduling and coordination algorithms controlling household appliances� operations can potentially lead to energy consumption reduction and/or load balancing in conjunction with different electricity pricing methods used in smart grid programs. In order to easily implement different algorithms and evaluate their efficiency against other ideas, a flexible simulation framework is desirable in both research and business fields. However, such a platform is currently lacking or underdeveloped. In this thesis, we provide a simulation framework to focus on demand side residential energy consumption coordination in response to different pricing methods. This simulation framework, equipped with an appliance consumption library using realistic values, aims to closely represent the average usage of different types of appliances. The simulation results of traditional usage yield close matching values compared to surveyed real life consumption records. Several sample coordination algorithms, pricing schemes, and communication scenarios are also implemented to illustrate the use of the simulation framework.
Wang Xiang; Thomas Kunz; Marc St-hilaire; Wang Xiang
A flexible design framework for autonomous mowing
This work outlines the creation of a flexible design framework for autonomous mowing to meet changing customer needs and functionality across a spectrum of applications from residential areas to sport complexes. The thesis ...
Kraft, Justin (Justin A.)
Aranea: web framework construction and integration kit
Currently there exist dozens of web controller frameworks that are incompatible, but at the same time have large portions of overlapping functionality that is implemented over and over again. Web programmers are facing limitations on code reuse, application ...
Oleg M�rk; Jevgeni Kabanov
Shiva: An astronomical data analysis framework
A key online and off-line software component of the Sloan Digital Sky Survey (SDSS) is Shiva. Shiva provides a readily extendible framework upon which the SDSS data reduction pipeline software is built. In this paper we present an introduction to the Shiva data analysis framework. We briefly discuss the features and the inherent prototyping and rapid development capabilities that make Shiva an integral part in the on-going development of SDSS software.
Sergey, G.; Berman, E.; Huang, C.H.; Kent, S.; Newberg, H; Nicinski, T.; Petravick, D; Stoughton, C. [Fermi National Accelerator Lab., Batavia, IL (United States); Lupton, R. [Princeton Univ., NJ (United States). Dept. of Astronomy
Knowledge Innovation System and Customer Impact of Knowledge-Intensive Business Services
Following the development of economy, the service industry has already exceeded the manufacturing industry and has been one country's leading industry. Providing knowledge is the service way of Knowledge-Intensive business services (KIBS). KIBS are the ... Keywords: knowledge-intensive business service, knowledge innovation, innovation system, customer influence
Jun Tao
Integrating scientific with indigenous knowledge: constructing knowledge alliances for land management in india
Information systems design and development processes by their very nature involve a multiplicity of knowledge systems, including the technology itself, the methodologies for system development, and knowledge relating to the application domain. When an ... Keywords: boundary objects, india, indigenous knowledge, information systems, less developed countries, participation, rural development, scientific knowledge
Satish K. Puri
A knowledge sorting and matrix representation approach for developing knowledge-based product design systems
Knowledge acquisition plays a very important role in constructing a knowledge-based system. As the most time-consuming phase, it has been recognized as the bottleneck in developing a knowledge-based system (KBS). This paper presents a knowledge sorting ...
ZhiMing Rao; Chun-Hsien Chen
Discovery Bay, California: Energy Resources | Open Energy Information
Discovery Bay, California: Energy Resources Discovery Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.9085357°, -121.6002291° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.9085357,"lon":-121.6002291,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
DOE Announces $60 Million in Projects to Accelerate Scientific Discovery
0 Million in Projects to Accelerate Scientific 0 Million in Projects to Accelerate Scientific Discovery through Advanced Computing DOE Announces $60 Million in Projects to Accelerate Scientific Discovery through Advanced Computing September 7, 2006 - 8:53am Addthis WASHINGTON, D.C. - The U.S. Department of Energy's (DOE) Office of Science today announced approximately $60 million in new awards annually for 30 computational science projects over the next three to five years. The projects are aimed at accelerating research in designing new materials, developing future energy sources, studying global climate change, improving environmental cleanup methods and understanding physics from the tiniest particles to the massive explosions of supernovae. "Advanced computing is a critical element of President Bush's American
Argonne licenses diamond semiconductor discoveries to AKHAN Technologies |
licenses diamond semiconductor discoveries to AKHAN Technologies licenses diamond semiconductor discoveries to AKHAN Technologies By Joseph Bernstein * By Jared Sagoff * March 4, 2013 Tweet EmailPrint LEMONT, Ill. - The U.S. Department of Energy's Argonne National Laboratory announced today that the laboratory has granted AKHAN Technologies exclusive diamond semiconductor application licensing rights to breakthrough low-temperature diamond deposition technology developed by Argonne's Center for Nanoscale Materials (CNM). The Argonne-developed technology allows for the deposition of nanocrystalline diamond on a variety of wafer substrate materials at temperatures as low as 400 degrees Celsius. The combination of the Argonne's low-temperature diamond technology with AKHAN's Miraj Diamond(tm) process represents the state of the art in diamond semiconductor
Discovery-Spring Garden, Maryland: Energy Resources | Open Energy
Discovery-Spring Garden, Maryland: Energy Resources Discovery-Spring Garden, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 39.4614398°, -77.358284° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":39.4614398,"lon":-77.358284,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Fifty Years of Breakthrough Discoveries in Fluid Criticality
Fifty years ago two scientists, who celebrate their 80th birthdays in 2011, Alexander V. Voronel and Johannes V. Sengers performed breakthrough experiments that challenged the commonly accepted views on critical phenomena in fluids. Voronel discovered that the isochoric heat capacity of argon becomes infinite at the vapor-liquid critical point. Almost simultaneously, Sengers observed a similar anomaly for the thermal conductivity of near-critical carbon dioxide. The existence of these singularities was later proved to be universal for all fluids. These experiments had a profound effect on the development of the modern (scaling) theory of phase transitions, which is based on the diverging fluctuations of the order parameter. In particular, the discovery of the heat-capacity divergence at the critical point was a keystone for the formulation of static scaling theory, while the discovery of the divergence of the thermal conductivity played an important role in the formulation of dynamic scaling and mode-coupling...
Anisimov, Mikhail A
Experimental Discovery of Topological Insulators and Related Superconductors
Most quantum states of condensed matter are categorized by the symmetries they break. The remarkable discovery of charge Quantum Hall effects (1980s) revealed that there exists an organizational principle of matter based only on the topological distinctions, but in the presence of time-reversal symmetry breaking. In the past few years, theoretical developments suggest that new classes of topological states of matter might exist that are purely topological in nature in the sense that they do not break time-reversal symmetry, and hence can be realized without any applied magnetic field: "Quantum Hall-like effects without Magnetic Fields." This talk describes our discovery of new topologically ordered states of matter (topological insulators) and discusses the unusual electro-magnetic, spin, and superconducting properties this novel phase of quantum matter might exhibit and their potential applications.
Hasan, M Zahid [Princeton
Directional Bias and Pheromone for Discovery and Coverage on Networks
Natural multi-agent systems often rely on �correlated random walks� (random walks that are biased toward a current heading) to distribute their agents over a space (e.g., for foraging, search, etc.). Our contribution involves creation of a new movement and pheromone model that applies the concept of heading bias in random walks to a multi-agent, digital-ants system designed for cyber-security monitoring. We examine the relative performance effects of both pheromone and heading bias on speed of discovery of a target and search-area coverage in a two-dimensional network layout. We found that heading bias was unexpectedly helpful in reducing search time and that it was more influential than pheromone for improving coverage. We conclude that while pheromone is very important for rapid discovery, heading bias can also greatly improve both performance metrics.
Fink, Glenn A.; Berenhaut, Kenneth S.; Oehmen, Christopher S.
Visualizing the Future of Scientific Discovery - NERSC Science News June
Visualizing the Visualizing the Future of Scientific Discovery Visualizing the Future of Scientific Discovery June 11, 2009 snVolRender-3.png A SUPERNOVA'S VOLUME: This volume rendering of supernova simulation data was generated by running the VisIt application on 32,000 processors on Franklin, a Cray XT4 supercomputer at NERSC. As computational scientists are confronted with increasingly massive datasets from supercomputing simulations and experiments, one of the biggest challenges is having the right tools to gain scientific insight from the data. A team of Department of Energy (DOE) researchers recently ran a series of experiments to determine whether VisIt, a leading scientific visualization application, is up to the challenge. Running on some of the world's most powerful supercomputers, VisIt achieved unprecedented levels of performance
COLLOQUIUM: Laboratory Study of Magnetic Reconnection: Recent Discoveries
March 27, 2013, 4:15pm to 5:30pm March 27, 2013, 4:15pm to 5:30pm Colloquia MBG Auditorium COLLOQUIUM: Laboratory Study of Magnetic Reconnection: Recent Discoveries on MRX Dr. Masaaki Yamada Princeton University Presentation: WC27MAR2013_MYamada.pptx Magnetic reconnection is a phenomenon of nature in which magnetic field lines change their topology in plasma and convert magnetic energy to particles by acceleration and heating. It is one of the most fundamental processes at work in laboratory and astrophysical plasmas. Magnetic reconnection occurs everywhere: in solar flares; coronal mass ejections; the earth's magnetosphere; in the star forming galaxies; and in plasma fusion devices. This talk focuses on recent discoveries in the fundamental research of magnetic reconnection on Magnetic Reconnection Experiment (MRX)
Manhattan Project: The Discovery of Fission, 1938-1939
Lise Meitner and Otto Hahn, Kaiser-Wilhelm Institute, Berlin THE DISCOVERY OF FISSION Berlin, Germany (1938-1939) Events > Atomic Discoveries, 1890s-1939 A Miniature Solar System, 1890s-1919 Exploring the Atom, 1919-1932 Atomic Bombardment, 1932-1938 The Discovery of Fission, 1938-1939 Fission Comes to America, 1939 The English word "atom" derives from the Greek word "atomon" ("ατομον"), which means "that which cannot be divided." In 1938, the scientific community proved the Greek philosophers wrong by dividing the atom. Excerpt from the comic book "Adventures Inside the Atom." Click on this image or visit the "Library" to view the whole comic book. Fission, the basis of the atomic bomb, was discovered in Nazi Germany less than a year before the beginning of the Second World War. It was December 1938 when the radiochemists Otto Hahn (above, with Lise Meitner) and Fritz Strassmann, while bombarding elements with neutrons in their Berlin laboratory, made their unexpected discovery. They found that while the nuclei of most elements changed somewhat during neutron bombardment, uranium nuclei changed greatly and broke into two roughly equal pieces. They split and became not the new transuranic elements that some thought Enrico Fermi had discovered but radioactive barium isotopes (barium has the atomic number 56) and other fragments of the uranium itself. The substances Fermi had created in his experiments, that is, did more than resemble lighter elements -- they were lighter elements. The products of the Hahn-Strassmann experiment weighed less than that of the original uranium nucleus, and herein lay the primary significance of their findings. It folIowed from Albert Einstein's E=mc2 equation that the loss of mass resulting from the splitting process must have been converted into energy in the form of kinetic energy that could in turn be converted into heat.
Materials Design and Discovery: Catalysis and Electrical Energy Storage
and Discovery: Catalysis and Discovery: Catalysis and Electrical Energy Storage Presenter: N ichols A . R omero, A LCF ESP p ost---doc: Anouar B enali, A LCF PI: L arry C urAss, A NL M SD a nd C NM Comments from a reviewer on "Material Design and Discovery" from a proposal § How c ould t his m achine w ith t hese p rograms b e u sed t o d esign a n ew s olar c ell? Or a n ew c ure f or A IDS? O r a n ew h igh---T s uperconductor? T his i s n ot i ntended a s a trivial q uesAon. T he p resent m ethod o f D ISCOVERY r elies o n t he t rained h uman mind ( insight) a nd e xperiment ( serendipity). C omputaAonal s cience s o f ar h as n ot delivered a ny n ew d iscoveries b ecause i t l acks t he p ossibility o f s erendipity. T he greatest s uccess o f c omputaAonal c hemistry h as b een i mproved i nsight i nto t he way m aterial b ehaves
Reprocessing of the Parkes Multibeam Pulsar Survey has resulted in the discovery of five previously unknown pulsars and several as-yet-unconfirmed candidates. PSR J0922-52 has a period of 9.68 ms and a dispersion measure (DM) of 122.4 pc cm{sup -3}. PSR J1147-66 has a period of 3.72 ms and a DM of 133.8 pc cm{sup -3}. PSR J1227-6208 has a period of 34.53 ms, a DM of 362.6 pc cm{sup -3}, is in a 6.7 day binary orbit, and was independently detected in an ongoing high-resolution Parkes survey by Thornton et al. and also in independent processing by Einstein-Home volunteers. PSR J1546-59 has a period of 7.80 ms and a DM of 168.3 pc cm{sup -3}. PSR J1725-3853 is an isolated 4.79 ms pulsar with a DM of 158.2 pc cm{sup -3}. These pulsars were likely missed in earlier processing efforts due to the fact that they have both high DMs and short periods, and also due to the large number of candidates that needed to be looked through. These discoveries suggest that further pulsars are awaiting discovery in the multibeam survey data.
Mickaliger, M. B.; Collins, A.; Hough, L.; Tehrani, N.; Tenney, C.; Liska, A.; Swiggum, J.; Lorimer, D. R.; McLaughlin, M. A.; Boyles, J. [Department of Physics, West Virginia University, Morgantown, WV 26506 (United States)
International Framework for Nuclear Energy Cooperation to Hold...
Framework for Nuclear Energy Cooperation to Hold Ministerial-Level Meeting Sept. 29 in Warsaw, Poland International Framework for Nuclear Energy Cooperation to Hold...
A Systems Framework for Assessing Plumbing Products-Related Water...
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A Framework for Comparative Assessments of Energy Efficiency...
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A Methodological Framework for Comparative Assessments of Equipment...
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Security Framework for Control System Data Classification and...
Framework for Control System Data Classification and Protection Security Framework for Control System Data Classification and Protection This document presents a data...
A Statistical Pattern Analysis Framework for Rooftop Unit Diagnostics
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Online Monitoring Technical Basis and Analysis Framework for...
Online Monitoring Technical Basis and Analysis Framework for Emergency Diesel Generators-Interim Report for FY 2013 Online Monitoring Technical Basis and Analysis Framework for...
3rd Cybersecurity Framework Workshop - July 10-12 2013 ...
... Cybersecurity Framework, July 1, 2013 The purpose of this document is to define the overall Framework and provide guidance on its usage. ...
Deputy Secretary Poneman to Attend International Framework for...
to Attend International Framework for Nuclear Energy Cooperation Meeting in Jordan Deputy Secretary Poneman to Attend International Framework for Nuclear Energy Cooperation Meeting...
Recovery Act: Smart Grid Interoperability Standards and Framework...
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Stories of Discovery & Innovation | U.S. DOE Office of Science (SC)
Stories of Discovery & Stories of Discovery & Innovation Discovery & Innovation Stories of Discovery & Innovation Brief Science Highlights SBIR/STTR Highlights Contact Information Office of Science U.S. Department of Energy 1000 Independence Ave., SW Washington, DC 20585 P: (202) 586-5430 Stories of Discovery & Innovation Print Text Size: A A A Subscribe FeedbackShare Page The photosynthetic megacomplex from a cyanobacterium. 12.30.13Stories of Discovery & Innovation Observing the Sparks of Life EFRC researchers isolate a photosynthetic complex - arguably the most important bit of organic chemistry on the planet - in its complete functioning state. Read More » Scanning electron microscope image of sulfur graphene oxide. 11.27.13Stories of Discovery & Innovation
Subsurface Knowledge Reference Page | Department of Energy
Subsurface Knowledge Reference Page Subsurface Knowledge Reference Page Subsurface Knowledge Reference Page The below listing provides additional references related to Subsurface & Groundwater Remediation. The references are categorized by documents types (e.g., Strategic Plans, Groundwater Plume Map Booklets, etc.) and under each "document type", there is a list of documents and/or hyperlinks to a reference. The Subsurface Knowledge Reference Page will continue to reflect additional information as it is identified. Strategic Plans Scientific Opportunities to Reduce Risk in Groundwater and Soil Remediation Scientific Opportunities for Monitoring at Environmental Remediation Sites (SOMERS) Groundwater Plume Map Booklets Groundwater Contamination and Treatment at Department of Energy Sites -
Text Authoring, Knowledge Acquisition and Description Logics
We present a principled approach to the problem of connecting a controlled document authoring system with a knowledge base. We start by describing closed-world authoring situations, in which the knowledge base is used for constraining the possible documents and orienting the user's selections. Then we move to open-world authoring situations in which, additionally, choices made during authoring are echoed back to the knowledge base. In this way the information implicitly encoded in a document becomes explicit in the knowledge base and can be re-exploited for simplifying the authoring of new documents. We show how
Marc Dymetman
Preserving physics knowledge at the fast flux test facility
One of the goals of the Dept. of Energy's Office of Nuclear Energy, initiated under the Fuel Cycle Research and Development Program (FCRD) and continued under the Advanced Reactor Concepts Program (ARC) is to preserve the knowledge that has been gained in the United States on Liquid Metal Reactors (LMRs) that could support the development of an environmentally and economically sound nuclear fuel cycle. The Fast Flux Test Facility (FFTF) is the most recent LMR to operate in the United States, from 1982 to 1992, and was designed as a fully instrumented test reactor with on-line, real time test control and performance monitoring of components and tests installed in the reactor. The 10 years of operation of the FFTF provided a very useful framework for testing the advances in LMR safety technology based on passive safety features that may be of increased importance to new designs after the events at Fukushima. Knowledge preservation at the FFTF is focused on the areas of design, construction, and startup of the reactor, as well as on preserving information obtained from 10 years of successful operating history and extensive irradiation testing of fuels and materials. In order to ensure protection of information at risk, the program to date has sequestered reports, files, tapes, and drawings to allow for secure retrieval. A disciplined and orderly approach has been developed to respond to client's requests for documents and data in order to minimize the search effort and ensure that future requests for this information can be readily accommodated. (authors)
Wootan, D.; Omberg, R. [Pacific Northwest National Laboratory, 902 Battelle Boulevard, Richland, WA 99352 (United States); Makenas, B. J. [Ares Corporation, M/S A3-06, 825 Jadwin Avenue, Richland, WA 99352 (United States); Nielsen, D. L.; Nelson, J. V. [Indian Eyes, LLC, 2815 Saint Andrews Loop, Pasco, WA 99301 (United States); Polzin, D. L. [CH2MHill Plateau Remediation Company, M/S S2-42, P.O. Box 1600, Richland, WA 99352 (United States)
DISCOVERY OF FAST, LARGE-AMPLITUDE OPTICAL VARIABILITY OF V648 Car (=SS73-17)
We report on the discovery of large-amplitude flickering from V648 Car (= SS73-17), a poorly studied object listed among the very few hard X-ray-emitting symbiotic stars. We performed millimagnitude precision optical photometry with the Swope Telescope at the Las Campanas Observatory, Chile, and found that V648 Car shows large U-band variability over timescales of minutes. To our knowledge, it exhibits some of the largest flickering of a symbiotic star ever reported. Our finding supports the hypothesis that symbiotic white dwarfs producing hard X-rays are predominantly powered by accretion, rather than quasi-steady nuclear burning, and have masses close to the Chandrasekhar limit. No significant periodicity is evident from the flickering light curve. The All Sky Automated Survey long-term V light curve suggests the presence of a tidally distorted giant accreting via Roche lobe overflow, and a binary period of {approx}520 days. On the basis of the outstanding physical properties of V648 Car as hinted at by its fast and long-term optical variability, as well as by its nature as a hard X-ray emitter, we therefore call for simultaneous follow-up observations in different bands, ideally combined with time-resolved optical spectroscopy.
Angeloni, R. [Departamento de Astronomia y Astrofisica, Pontificia Universidad Catolica de Chile, Vicuna Mackenna 4860, 7820436 Macul, Santiago (Chile); Di Mille, F. [Sydney Institute for Astronomy, The University of Sydney, 44-70 Rosehill Street, Redfern, NSW 2016 (Australia); Ferreira Lopes, C. E. [Departamento de Fisica Teorica e Experimental, Universidade Federal do Rio Grande do Norte, Campus Universitario, Lagoa Nova, CEP 59078-970 Natal/RN (Brazil); Masetti, N., E-mail: firstname.lastname@example.com, E-mail: email@example.com, E-mail: firstname.lastname@example.com, E-mail: email@example.com [INAF-Istituto di Astrofisica Spaziale e Fisica Cosmica di Bologna, via Gobetti 101, I-40129 Bologna (Italy)
Discoveries http://www.depts.ttu.edu/vpr/discoveries/Spring-2011/oil-spill.php[4/25/2011 8:00:52 AM
.S. history. However, Kendall said dispersing the oil could cause more problems than having left the oil aloneDiscoveries http://www.depts.ttu.edu/vpr/discoveries/Spring-2011/oil-spill.php[4/25/2011 8:00:52 AM Horizon Oil Spill One Year Later Watch Video on YouTube Ron Kendall, Director of the Institute
Rock, Chris
Introduction to Framework | Open Energy Information
Introduction to Framework Introduction to Framework (Redirected from Introduction to Methodology) Jump to: navigation, search Stage 1 LEDS Home Introduction to Framework Assess current country plans, policies, practices, and capacities Develop_BAU Stage 4: Prioritizing and Planning for Actions Begin execution of implementation plans 1.0. Organizing the LEDS Process 1.1. Institutional Structure for LEDS 1.2. Workplan to Develop the LEDS 1.3. Roles and responsibilities to develop LEDS 2.1. Assess current country plans, policies, practices, and capacities 2.2. Compile lessons learned and good practices from ongoing and previous sustainable development efforts in the country 2.3. Assess public and private sector capacity to support initiatives 2.4. Assess and improve the national GHG inventory and other
Introduction to Framework Introduction to Framework Jump to: navigation, search Stage 1 LEDS Home Introduction to Framework Assess current country plans, policies, practices, and capacities Develop_BAU Stage 4: Prioritizing and Planning for Actions Begin execution of implementation plans 1.0. Organizing the LEDS Process 1.1. Institutional Structure for LEDS 1.2. Workplan to Develop the LEDS 1.3. Roles and responsibilities to develop LEDS 2.1. Assess current country plans, policies, practices, and capacities 2.2. Compile lessons learned and good practices from ongoing and previous sustainable development efforts in the country 2.3. Assess public and private sector capacity to support initiatives 2.4. Assess and improve the national GHG inventory and other economic and resource data as needed for LEDS development
A Probabilistic Framework for Discriminative Dictionary Learning
In this paper, we address the problem of discriminative dictionary learning (DDL), where sparse linear representation and classification are combined in a probabilistic framework. As such, a single discriminative dictionary and linear binary classifiers are learned jointly. By encoding sparse representation and discriminative classification models in a MAP setting, we propose a general optimization framework that allows for a data-driven tradeoff between faithful representation and accurate classification. As opposed to previous work, our learning methodology is capable of incorporating a diverse family of classification cost functions (including those used in popular boosting methods), while avoiding the need for involved optimization techniques. We show that DDL can be solved by a sequence of updates that make use of well-known and well-studied sparse coding and dictionary learning algorithms from the literature. To validate our DDL framework, we apply it to digit classification and face recognition and tes...
Ghanem, Bernard
Complete Security Framework for Wireless Sensor Networks
Security concern for a Sensor Networks and level of security desired may differ according to application specific needs where the sensor networks are deployed. Till now, most of the security solutions proposed for sensor networks are layer wise i.e a particular solution is applicable to single layer itself. So, to integrate them all is a new research challenge. In this paper we took up the challenge and have proposed an integrated comprehensive security framework that will provide security services for all services of sensor network. We have added one extra component i.e. Intelligent Security Agent (ISA) to assess level of security and cross layer interactions. This framework has many components like Intrusion Detection System, Trust Framework, Key Management scheme and Link layer communication protocol. We have also tested it on three different application scenarios in Castalia and Omnet++ simulator.
Sharma, Kalpana; Kuldeep,
A Bayesian Framework for Combining Valuation Estimates
Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.
Kenton K. Yee
Defining a competency framework to shape the professional education of national security master strategists: a web-based Delphi study
The purpose of this study was to develop a competency framework to shape development of a professional education program for master strategists in national security. The research problem focused on the absence of a competency framework to guide professional education of strategists who must be capable of conceptualization and innovation master strategists. The outcome of this study was a set of the most important components that constitute a professional education framework for master strategists. This Web-based study followed a RAND Delphi heuristic model that is qualitative in nature. Instrumentation for the first round consisted of a short vignette that placed panelists in a unique situation of being able to engage a "time traveler" from 20 years in the future. The time traveler represented a source of perfect knowledge, but could provide only a "yes" or "no" response to panel member questions concerning master strategist professional education needs in the year 2022. In the subsequent two Delphi rounds, the instruments consisted of panel member questions from the previous round. The panel of experts consisted of 12 professional strategists in the field of national security strategy. The results of the study provided support to the description of master strategists as strategic leaders, strategic theoreticians, and strategic practitioners. Panelists highlighted four content domains of personal attributes, security framework, theorybased knowledge, and culture and values that encompass the range of competencies for a master strategist professional education framework. Panel members detailed a need for master strategists to have a higher order temporal perspective to conceive time as epochs and ages, defined as shifts in development punctuated by events and prominent periods in progress, respectively. Panelists described a master strategist professional education framework that mirrored the theory of profound knowledge with meta-competencies as the basic building blocks.
Clark, Thomas George
Evaluation Framework and Tools for Distributed Energy Resources
Glossary Executive Summary Introduction Total Societal Impact Framework i iii v vii Effects of Distributed Energy
Gumerman, Etan Z.; Bharvirkar, Ranjit R.; LaCommare, Kristina Hamachi; Marnay, Chris
Frameworks for model-driven development of web applications
This paper describes model driven development of dynamic web application using a few different frameworks. Those are the following open source Java frameworks: Modelibra, ModelibraWicket and Wicket. Modelibra is a domain model framework. ModelibraWicket ... Keywords: application development, framework, model, web component
Vensada Okanovi?; Dzenana Donko; Tadej Mateljan
Mobile digital calendars in knowledge work
This article investigates the usage of mobile digital-calendar solutions in a knowledge work setting through the means of an empirical survey (n = 220) among managers and experts in a global telecommunications company. It is indicated, that the mobile digital ... Keywords: PIM, calendar use, digital calendars, electronic calendaring, electronic scheduling, global telecommunications, knowledge work, mobile calendars, mobile communications, mobile computing, personal information management
Anna Sell
Extracting failure knowledge with associative search
We applied associative OR search on a Failure Knowledge Database with 1,242 failure accidents and 41 failure scenarios in the book "100 Scenarios of Failure" to find cases most analogous to risks that engineers were concerned with. Ninety engineers provided ... Keywords: associative search, failure knowledge, risk management
Masayuki Nakao; Kensuke Tsuchiya; Yoshiaki Harita; Kenji Iino; Hiroshi Kinukawa; Satoshi Kawagoe; Yuji Koike; Akihiko Takano
On using causal knowledge to recognize vital signals: knowledge-based interpretation of arrhythmias
We have proposed a knowledge-based system for the recognition of time varying vitual signals, such as electrocardiograms. This paper discusses its causal model approach. A prototype system exhibits the efficacy of the method of knowledge base stratification, ...
Tetsutaro Shibahara
Building Technologies Office: Residential Furnaces and Boilers Framework
Residential Furnaces Residential Furnaces and Boilers Framework Meeting to someone by E-mail Share Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Facebook Tweet about Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Twitter Bookmark Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Google Bookmark Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Delicious Rank Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on Digg Find More places to share Building Technologies Office: Residential Furnaces and Boilers Framework Meeting on AddThis.com... About Standards & Test Procedures Implementation, Certification & Enforcement
UCEAO: Energy Knowledge Bank | Open Energy Information
UCEAO: Energy Knowledge Bank UCEAO: Energy Knowledge Bank Jump to: navigation, search Name UCEAO: Energy Knowledge Bank Place Ohio Website http://knowledgebank.uso.edu/ References University Clean Energy Alliance of Ohio (UCEAO)[1] LinkedIn Connections This article is a stub. You can help OpenEI by expanding it. UCEAO: Energy Knowledge Bank is an organization based in Ohio. References ↑ "University Clean Energy Alliance of Ohio (UCEAO)" Retrieved from "http://en.openei.org/w/index.php?title=UCEAO:_Energy_Knowledge_Bank&oldid=368110" Categories: Clean Energy Organizations Networking Organizations Organizations Stubs What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load) Error 429 Throttled (bot load)
Climate Knowledge Brokers Group | Open Energy Information
Climate Knowledge Brokers Group Climate Knowledge Brokers Group (Redirected from Knowledge Brokers Workshop) Jump to: navigation, search Home | 2013 Workshop | Previous Events | CKB Snapshots | Collaborative Projects | Shared Tools What is the CKB Group? The Climate Knowledge Brokers (CKB) Group is an emerging alliance of around 50 of the leading global, regional and national websites specialising in climate and development information. It brings together a diverse set of information players, from international organisations to research institutes, NGOs and good practice networks, and covers the full breadth of climate related themes. The focus is on primarily online initiatives, and those that play an explicit knowledge brokerage role, rather than being simply institutional websites. Its goal is to improve access to climate information by coordinating and
A Framework for Measuring Supercomputer Productivity
We propose a framework for measuring the productivity of high performance computing (HPC) systems, based on common economic definitions of productivity and on utility theory. We discuss how these definitions can capture essential aspects of HPC systems, ... Keywords: High-performance computing, Productivity, benchmarks, performance metrics
Marc Snir; David A. Bader
A compiler framework for speculative optimizations
Speculative execution, such as control speculation or data speculation, is an effective way to improve program performance. Using edge/path profile information or simple heuristic rules, existing compiler frameworks can adequately incorporate and exploit ... Keywords: Data speculation, partial redundancy elimination, register promotion, speculative SSA form, speculative weak update
Jin Lin; Tong Chen; Wei-Chung Hsu; Pen-Chung Yew; Roy Dz-Ching Ju; Tin-Fook Ngai; Sun Chan
Flexible Framework for Building Energy Analysis: Preprint
In the building energy research and advanced practitioner communities, building models are perturbed across large parameter spaces to assess energy and cost performance in the face of programmatic and economic constraints. This paper describes the OpenStudio software framework for performing such analyses.
Hale, E.; Macumber, D.; Weaver, E.; Shekhar, D.
An autonomic routing framework for sensor networks
Current routing services for sensor networks are often designed for specific applications and network conditions, thus have difficulty in adapting to application and network dynamics. This paper proposes an autonomic framework to promote the adaptivity ... Keywords: Autonomic routing, Feature functions, Monitoring policies, Sensor networks
Yu He; Cauligi S. Raghavendra; Steven Berson; Robert Braden
GCspy: an adaptable heap visualisation framework
GCspy is an architectural framework for the collection, transmission, storage and replay of memory management behaviour. It makes new contributions to the understanding of the dynamic memory behaviour of programming languages (and especially object-oriented ... Keywords: Java, garbage collection, language implementation, memory management, visualisation of objects
Tony Printezis; Richard Jones
A Clustering-Driven LDAP Framework
LDAP directories have proliferated as the appropriate storage framework for various and heterogeneous data sources, operating under a wide range of applications and services. Due to the increased amount and heterogeneity of the LDAP data, there is a ... Keywords: DIT organization, LDAP services, clustering, merging criteria, query and retrieval engine
Vassiliki Koutsonikola; Athena Vakali
A framework for schema matcher composition
Enterprise schemas tend to be different, which is the key issue when the seamless communication between systems is of utmost importance. One solution could be the development of standards which then could be enforced, however, vendors seem to be reluctant ... Keywords: algorithm analysis, framework definition, optimization, performance improvement, schema matching
Balazs Villanyi; Peter Martinek; Bela Szikora
Free Parameters and Frameworks in Minimal Supersymmetry
405 Appendix A Free Parameters and Frameworks in Minimal Supersymmetry It is useful to discuss what the various schemes that exist for reducing the set of free parameters to a manageable number. The information, and so is fixed by experiment. The free parameters consist mainly of the coefficients of the "soft
405 Appendix A Free Parameters and Frameworks in Minimal Supersymmetry It is useful to discuss what the various schemes that exist for reducing the set of free parameters to a manageable number. The information, and so is fixed by experiment. The free parameters consist mainly of the coe#cients of the ``soft
A Framework for Historic Bridge Preservation
In an inevitably occurring process, bridges possessing historic, artistic, and engineering significance deteriorate and must be maintained and rehabilitated in order to be kept in service. Ideally, all potentially significant bridges would be properly preserved and continue to beautify and bring character to their surroundings for years to come. However, funding is currently limited for transportation projects in general, and even more so for historic bridge preservation, which some may consider less critical in comparison to other transportation needs. Because of this limitation on resources, it is important that bridge-owning agencies use proper planning and management strategies in order to make the best use of available funding. This thesis presents a framework designed to assist agencies in this process. The framework is devised specifically for TxDOT for use in Tarrant County, Texas, but can be used as a model for agencies anywhere with some modifications to fit the inventory under evaluation. Included in the framework are a methodology for prioritization of bridges within an inventory, guidance on financial and legal procedures, identification of potential funding sources, summary and review of condition assessment practices and bridge mitigation strategies, a template for individual bridge preservation plans, and a framework for resource allocation within a bridge inventory. It can be concluded from this research that early detection of defects, preventive maintenance, condition assessment beyond routine inspection, adjustment of evaluation methodology, and use of engineering judgment when using numerical evaluation methods are critical components of proper management of historic bridges.
Puls, Eric Mark
Compiler implementation in a formal logical framework
The task of designing and implementing a compiler can be a difficult and error-prone process. In this paper, we present a new approach based on the use of higher-order abstract syntax and term rewriting in a logical framework. All program transformations, ... Keywords: formal compiler, higher-order abstract syntax, logical programming environment
Jason Hickey; Aleksey Nogin; Adam Granicz
CZT: a framework for Z tools
The Community Z Tools (CZT) project is an open-source Java framework for building formal methods tools for Z and Z dialects. It also includes a set of tools for parsing, typechecking, transforming and printing standard Z specifications in LATEX, Unicode ...
Petra Malik; Mark Utting
Privacy, Technology, and Aging: A Proposed Framework
the development, adoption, and use of home-based ubiquitous technologies for older adults. We began with a five, adoption, and use of home-based ubiquitous technologies are highly contextual, individualized and aging can inform the development of a privacy framework for home-based technologies that can contribute
Camp, L. Jean
A general implementation framework for tabled CLP
This paper describes a framework to combine tabling evaluation and constraint logic programming (TCLP). While this combination has been studied previously from a theoretical point of view and some implementations exist, they either suffer from a lack ... Keywords: constraint logic programming, implementation, performance, tabling
Pablo Chico de Guzm�n; Manuel Carro; Manuel V. Hermenegildo; Peter Stuckey
A national public healthcare framework using grid
This paper presents a framework for public healthcare by making a grid over public infrastructure such as Internet. It clearly illustrates the need and viability of such grids. The paper gives in details the technology required behind building such global ... Keywords: DICOM, HL7, SAN, component, grid, healthcare, national, security, state, taluka
Rekha Singhal
Semantic Sensor Net: an extensible framework
Existing approaches for sensor networks suffer from a number of serious drawbacks, including assumption of homogeneous sensor nodes, application-dependency, engineering-orientation, and lack of interoperability. To overcome these drawbacks, we ... Keywords: architecture, data processing, dynamic tagging, framework, semantic information, semantic sensor net, semantics, sensor networks
Lionel M. Ni; Yanmin Zhu; Jian Ma; Qiong Luo; Yunhao Liu; S. C. Cheung; Qiang Yang; Minglu Li; Min-you Wu
GRR/Section 11-MT-c - Cultural Resource Discovery | Open Energy Information
c - Cultural Resource Discovery c - Cultural Resource Discovery < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 11-MT-c - Cultural Resource Discovery 11MTCCulturalResourceDiscoveryProcess (1).pdf Click to View Fullscreen Contact Agencies Montana Department of Natural Resources & Conservation Montana State Historic Preservation Office Regulations & Policies 36 CFR 800.16: NHPA Definitions MCA 22-3-421: Montana Antiquities Definitions MCA 22-3-429: Consultation, Notice, Appeal MCA 22-3-430: Mitigation MCA 22-3-435: Report of Discovery ARM 36.2.801-813: Antiquities Triggers None specified Click "Edit With Form" above to add content 11MTCCulturalResourceDiscoveryProcess (1).pdf Error creating thumbnail: Page number not in range.
NERSC User Day February 13 - Trends, Discovery, and Innovation in HPC
Day February 13 - Trends, Discovery, and Innovation in HPC Day February 13 - Trends, Discovery, and Innovation in HPC NERSC User Day February 13 - Trends, Discovery, and Innovation in HPC February 10, 2013 by Francesca Verdier (0 Comments) All members of the Berkeley Lab community, as well as those who have registered for the NERSC Users Group meeting, are welcome to join us for the NERSC User Day this February 13, 2013, in the Building 50 auditorium at Berkeley Lab. The theme of the User Day is Trends, Discovery, and Innovation in High Performance Computing: Trends 9:00 - The Future of High Performance Scientific Computing, Kathy Yelick, Berkeley Lab Associate Director of Computing Science 9:45 - NERSC Today and in the Next 10 Years, Sudip Dosanjh, NERSC Director Discovery 11:00 - Discovery of the Higgs Boson and the role of LBNL and World-Wide
GRR/Section 11-TX-c - Cultural Resource Discovery Process | Open Energy
-TX-c - Cultural Resource Discovery Process -TX-c - Cultural Resource Discovery Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 11-TX-c - Cultural Resource Discovery Process 11TXCCulturalResourceDiscoveryProcess.pdf Click to View Fullscreen Contact Agencies Texas Historical Commission Regulations & Policies Sec. 191: Antiquities Code Triggers None specified Click "Edit With Form" above to add content 11TXCCulturalResourceDiscoveryProcess.pdf 11TXCCulturalResourceDiscoveryProcess.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative 11-TX-c.1 - Is the Project Located on State or Local Public Land? Before breaking ground at a project location on state or local public land,
Kids at Camp Discovery Bond Over Building Electric Vehicle | Department of
Kids at Camp Discovery Bond Over Building Electric Vehicle Kids at Camp Discovery Bond Over Building Electric Vehicle Kids at Camp Discovery Bond Over Building Electric Vehicle August 13, 2010 - 11:30am Addthis Campers at Camp Discovery put the finishing touches on a newly assembled electric vehicle they built to learn more about EV technology while sharing their experiences with battling cancer. | Photo courtesy of Craig Egan Campers at Camp Discovery put the finishing touches on a newly assembled electric vehicle they built to learn more about EV technology while sharing their experiences with battling cancer. | Photo courtesy of Craig Egan Joshua DeLung Each year, about 150 kids gather during the summer at Camp Discovery in Kerrville, Texas, to learn new things and have fun. But this isn't an ordinary summer camp - the attendees, ages seven to 16, all have been
Domain-Specific Languages for Composing Signature Discovery Workflows
Domain-agnostic signature discovery entails investigation across multiple scientific disciplines. The breadth and cross-disciplinary nature of this work requires that existing executables be integrated with new capabilities into workflows, representing a wide range of user tasks. An algorithm may be written in multiple programming languages for various hardware platforms, and so workflow composition requires integrating executables from any number of remote hosts. This raises an engineering issue on how to generate web service wrappers for these heterogeneous executables and to compose them into a scientific workflow environment (e.g., Taverna). In this paper, we introduce two simple Domain-Specific Languages (DSLs) to automate these processes. Our Service Description Language (SDL) describes key elements of a signature discovery service and automatically generates its implementation code. The Workflow Description Language (WDL) describes the pipeline of services and generates deployable artifacts for the Taverna workflow management system. We demonstrate our approach with a real-world workflow composed of services wrapping remote executables.
Jacob, Ferosh; Gray, Jeff; Wynne, Adam S.; Liu, Yan (Jenny) [Jenny; Baker, Nathan A.
Discovery of two new accreting pulsating white dwarf stars
We report the discovery of two new accreting pulsating white dwarf stars amongst the cataclysmic variables of the Sloan Digital Sky Survey: SDSSJ074531.91+453829.5 and SDSSJ091945.10+085710.0. We observe high amplitude non-sinusoidal variations of 4.5-7% at a period close to 1230s in the optical light curves of SDSSJ074531.91+453829.5 and a low amplitude variation of 0.7-1.6% near 260s in the light curves of SDSSJ091945.10+085710.0. We infer that these optical variations are a consequence of nonradial g-mode pulsations in the accreting primary white dwarfs of these cataclysmic variables. However we cannot rule out the remote possibility that the 260s period could be the spin period of the accreting white dwarf SDSSJ091945.10+085710.0. We also uncovered a non-variable SDSSJ171145.08+301320.0 during our search; our two observing runs exclude any pulsation related periodicities in the range of 85-1400s with an amplitude greater than or equal to 0.5%. This discovery paper brings the total number of known accreting white dwarf pulsators to eleven.
Anjum S. Mukadam; B. T. G�nsicke; P. Szkody; A. Aungwerojwit; Steve B. Howell; O. J. Fraser; N. M. Silvestri
Model discovery for energy-aware computing systems: An experimental evaluation
We present a model-discovery methodology for energy-aware computing systems that achieves high prediction accuracy. Model discovery, or system identification, is a critical first step in designing advanced controllers that can dynamically manage the ... Keywords: SISO model, energy aware computing system, model discovery methodology, energy performance trade off, multiple inputs multiple outputs model, single input single output model, representative server workload, MIMO model
Zhichao Li; R. Grosu; K. Muppalla; S. A. Smolka; S. D. Stoller; E. Zadok
Price discovery and information diffusion in the Perth housing market 1988-2000.
??[Truncated abstract] This thesis examines informational efficiency and price discovery processes within the Perth housing market for the period 1988-2000 by utilising a rich source� (more)
Costello, Greg
,"U.S. Shale Proved Reserves New Field Discoveries (Billion Cubic...
Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Shale Proved Reserves New Field Discoveries (Billion Cubic Feet)",1,"Annual",2011 ,"Release...
,"U.S. Shale Proved Reserves New Reservoir Discoveries in Old...
Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Shale Proved Reserves New Reservoir Discoveries in Old Fields (Billion Cubic...
Natural Gas Discovery and Development Impacts on Rio Vista and Its Community
1958. �Legal Battle Over Rio Gas Rights Opens: 20 AttorneysRio Vista discovers gas���������������..40 Part 1: Creationfor new economic avenues: The gas discovery�����..58 1. The
Gbedema, Tometi Koku
Price discovery and information linkages in the emission allowance and energy markets .
??We provide the first evidence on the catalysts for price discovery in the European Union Emissions Trading System. Short-run return dynamics are analysed using a� (more)
Swieringa, John Edward
9UOPLLCWaiverofPatentRightsunderDISCOVERYOF.pdf WA04029UOPLLCWaiverofPatentRightsunderDISCOVERYOF.pdf WA04029UOPLLCWaiverofPatentRightsunderDISCOVERY...
Price Discovery in Time and Space: The Course of Condominium Prices in Singapore
Method for Real Estate Price Index Construction,� Journal ofAutocorrelation in House Prices,� Journal of Real Estate1997), �Quotes, Order Flow, and Price Discovery,� Journal of
Hwang, Min; Quigley, John M.
Simple Microstructure Model of Price Determination . . 3.11Stock Market Volatility and Price Discovery: Three Essays onConstruction Spending PRICES CPI MONETARY POLICY FFR Source:
,"U.S. Crude Oil + Lease Condensate Reserves New Field Discoveries...
Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","U.S. Crude Oil + Lease Condensate Reserves New Field Discoveries (Million Barrels)",1,"Annual",2011...
Reducing Uncertainty in Fisheries Management: The Time for Fishers' Ecological Knowledge
This dissertation work presents a novel method for addressing system uncertainty to improve management of a small-scale fishery in St. Croix, United States Virgin Islands. Using fishers' ecological knowledge (FEK), this research examines existing perspectives and biases through the Q-Method to identify regulatory inefficiencies in the management framework and strengthen the rationale for including fishers into the management process, develops a coupled behavior-economics model to predict the likelihood of fishing the preferred grounds under a range of physical and regulatory conditions, establishes a baseline assessment of a spawning aggregation of mutton snapper following sixteen years of protection through a no-take marine protected area, and conducts a discrete choice method test to examine likely public support for FEK-based proposed regulatory alternatives. This work contributes to an under-studied and much-needed area of fisheries management, that of incorporating socioeconomic motivations within an ecosystem-based framework. As fisheries management efforts begin to embrace ecosystem-based approaches, the need for understanding and incorporating the knowledge and behavior of fishers into management has never been greater. Ecological goals of fishery sustainability and continued habitat function cannot be achieved without first understanding how fishers view and respond to any regulatory environment and then developing a framework that achieves the greatest support for those regulations. The time has come for incorporating FEK into ecosystem-based fisheries management.
Carr, Liam
Passport to Knowledge | Open Energy Information
Passport to Knowledge Passport to Knowledge Jump to: navigation, search Logo: Passport to Knowledge Name Passport to Knowledge Place Morristown, New Jersey Region Northeast - NY NJ CT PA Area Coordinates 40.7967667°, -74.4815438° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.7967667,"lon":-74.4815438,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Semantology as basis for conceptual knowledge processing
Semantology has been introduced as the theory of semantic structures and their connections which, in particular, covers the methodology of activating semantic structures for representing conceptual knowledge. It is the main aim of this paper to explain ...
Peter Eklund; Rudolf Wille