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Question: Paraphrasing: Generating parallel programs using refactoring

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Refactoring is the process of changing the structure of a program without changing its behaviour. Refactoring has so far only really been deployed effectively for sequential programs. However, with the increased availability of multicore (and, soon, manycore) systems, refactoring can play an important role in helping both expert and non-expert parallel programmers structure and implement their parallel programs. This paper describes the design of a new refactoring tool that is aimed at increasing the programmability of parallel systems. To motivate our design, we refactor a number of examples in C, C++ and Erlang into good parallel implementations, using a set of formal pattern rewrite rules.

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Translation validation was introduced as a technique to formally verify the correctness of code generators that attempts to ensure that program transformations preserve the semantics of input program. In this work, we adopt this approach to construct a validator that formally verifies the preservation of clock semantics during the Signal compiler transformations. The clock semantics is represented as a first-order logic formula called clock model. We then introduce a refinement which expresses the preservation of clock semantics, as a relation on clock models. Our validator does not require any instrumentation or modification of the compiler, nor any rewriting of the source program.


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Question: Activity recognition using biomechanical model based pose estimation

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In this paper, a novel activity recognition method based on signal-oriented and model-based features is presented. The model-based features are calculated from shoulder and elbow joint angles and torso orientation, provided by upper-body pose estimation based on a biomechanical body model. The recognition performance of signal-oriented and model-based features is compared within this paper, and the potential of improving recognition accuracy by combining the two approaches is proved: the accuracy increased by 4-6% for certain activities when adding model-based features to the signal-oriented classifier. The presented activity recognition techniques are used for recognizing 9 everyday and fitness activities, and thus can be applied for e.g., fitness applications or 'in vivo' monitoring of patients.

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The growing popularity of tablet PCs and intelligent pen-centric computing have increased the importance of freehand sketch recognition algorithms. This paper shall investigate the use of information fusion technique with Support Vector Machines (SVMs) chain for modeling and understanding the spatial and temporal information of sketch sequences. The approach for sketch recognition lies in the proposed dynamic and probabilistic framework based on combining SVMs-chain by the spatial and geometric features for systematically modeling the dynamic and stochastic behaviors of sketch.


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Question: AWARD: Approximation-aWAre Restore in Further Scaling DRAM

DRAM further scaling becomes more and more challenging, making restore operation an serious issue in the near future. Fortunately, a wide range of modern applications are able to tolerate error or inexactness, providing a new dimension to mitigate the slow-restore issue. And thus, we can trade-off acceptable QoS loss in those applications to accelerate restore operations, and further to achieve performance and energy improvements. In this extended research abstract, we briefly explore DRAM restore-based approximate computing, and present a preliminary evaluation on impacts of quality-of-service (QoS) degradation and performance speedup. We show that restore-based approximate computing is a challenging work, and dedicated error correction/tolerance techniques are needed to balance QoS and performance.

32-bit BUS Abstract- Energy consumption isone ofthemostcritical constraints inthecurrent VLSIsystem designs. Inaddition, fault tolerance ofVLSIsystems isalso oneofthemostimportant re- Processor L ECC/ ECGCLow (SimpleSalar Power EDC EDC Power M m (ipScar Encoder!Encoder! Encoder!Encoder!/ em quirements inthecurrentshrunkVLSI technologies. Thispaper Architecture)Decoder Decoder Decoder Decoder presents lowpowerandfault tolerant busencoding methods considering coupling effects ofbusinterconnects. Experiments using SPEC2000benchmark programs showthattheproposed Aredundant bitExtra code bitAredundant bit methodscaneffectively reducesignal transitions withfault tolerance. Moreover, theresults showthattheoptimization ofbus Fig1 Thearchitecture whichexploits thecombination ofECC.EDC code interconnects pitch canincrease theeffectiveness oftheencodingandlowpower code method. I.INTRODUCTION


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Question: Chabot: Retrieval from a Relational Database of Images

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Selecting from a large, expanding collection of images requires carefully chosen search criteria. We present an approach that integrates a relational database retrieval system with a color analysis technique. The Chabot project was initiated at our university to study storage and retrieval of a vast collection of digitized images. These images are from the State of California Department of Water Resources. The goal was to integrate a relational database retrieval system with content analysis techniques that would give our querying system a better method for handling images. Our simple color analysis method, if used in conjunction with other search criteria, improves our ability to retrieve images efficiently. The best result is obtained when text-based search criteria are combined with content-based criteria and when a coarse granularity is used for content analysis. >

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In this research investigation, the author has detailed the Theory Of One Step Universal Evolution Of Any Real Positive Number.


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Question: Aspect identification and sentiment analysis based on NLP

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This paper proposes method for aspect identification and sentiment analysis. This paper deals with the problem of sentence level. We use semantic syntax tree to extract NP nodes, a method based on slack to identify aspect and mini-support function to narrow aspect; to analyze the sentiment for the aspect we use dictionary-based method. Experimental results show that the proposed approach achieves the state-of-the-art.

As the demand for global information increases significantly, multilingual corpora has become a valuable linguistic resource for applications to cross-lingual information retrieval and natural language processing. A Web-based English-Chinese bilingual parallel corpus of automatic Construction Technology solved the shortage of bilingual English-Chinese Parallel Corpus. First, some web pages which may be set translation dig of from a particular source, and then from the web pages focused on the external characteristics according to the similarity to extract the candidate web pages in parallel pairs, use of content-based methods on parallel web pages for each of these candidates assessed. In the assessment of the candidate pairs of parallel web pages, this paper design ECVS models of bilingual text similarity assessed based on the classic vector space model.


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Question: A ZVS Pulsewidth Modulation Full-Bridge Converter With a Low-RMS-Current Resonant Auxiliary Circuit

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This paper presents the description and analysis of a phase-shift-modulated full-bridge converter with a novel robust passive low-rms-current resonant auxiliary circuit for zero-voltage switching (ZVS) operation of both the leading and lagging switch legs. Detailed time-domain analysis describes the steady-state behavior of the auxiliary circuit in different operating conditions. An in-depth comparative study between a fully specified baseline converter and the equivalent converter using the proposed resonant auxiliary circuit is presented. For a similar peak auxiliary current to ensure ZVS operation, a minimum of 20% reduction in rms current is obtained, which decreases the conduction losses. Key characteristics and design considerations are also fully discussed. Experimental results from a 750-W prototype confirm the predicted enhancements using the proposed resonant auxiliary circuit.

List of Figures. List of Tables. Preface. 1. Introduction. 2. Basic Transmission Line Theory. 3. Evaluating the Transient Response of Linear Networks. 4. Mosfet Current-Voltage Characteristics. 5. Figures of Merit to Characterize the Importance of on-Chip Inductance in Single Lines. 6. Effects of Inductance on the Propagation Delay and Repeater Insertion Process in RLC Lines. 7. Equivalent Elmore Delay for RLC Trees. 8. Characterizing Inductance Effects in RLC Trees. 9. Repeater Insertion in Tree Structured Inductive Interconnect. 10. Dynamic and Short-Circuit Power of CMOS Gates Driving Lossless Transmission Lines. 11. Exploiting On-Chip Inductance in High Speed Clock Distribution Networks. 12. Accurate and Efficient Evaluation of the Transient Response in RLC Circuits: The DTT Method. 13. On the Extraction of On-Chip Inductance. 14. Conclusions. Bibliography. Appendices. Index. About the Authors.


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Given ['Represent the title for retrieving the corresponding scientific abstract', 'Internet Commerce Strategy for Traditional Information Service Provider'], a positive would be ['represent the abstract for retrieving the scientific paper title', "The booming of Internet Commerce (IC) has far\\|reaching influence on the traditional enterprises' management. Traditional Information Service Providers(TISPs) which produce invisible products also face such a problem:how to adjust the management strategy and carry out IC with information products and service. In China,IC is in the initial and the condition of invisible products' IC is far more mature than that of visible products. That's the meaning of this article."] & a negative would be ['Represent this abstract from a paper to retrieve its scientific title', 'Why Data Mining is Important: What is Customer-Centric Data Mining? How Data Mining Can Enhance Your Services and Products Data Mining Can Solve Your Most Difficult Problems The Data Mining Process Pillars of the Data Mining Framework: The Information Technology of Business Intelligence The Data in Data Mining The Mathematics of Data Mining Data Mining Techniques: Knowledge Discovery Data Mining Techniques: More Knowledge Discovery Data Mining Techniques: Predictive Models Data Mining Management: Common Reasons Data Mining Projects Fail Overcoming Obstacles Successful Data Mining Project Management Data Mining in Practice--Case Studies: Data Mining in: Customer Service, Retail, Insurance, Financial Services, Health Care and Medicine, Telecommunications, Transportation and Logistics, Energy, and Government Glossary Bibliography Appendixes: Vendor Information "STAT 101" Techniques Listed by Methodology Phase']

Question: Automatic reconstruction of personalized avatars from 3D face scans

We present a simple algorithm for computing a high-quality personalized avatar from a single color image and the corresponding depth map which have been captured by Microsoft's Kinect sensor. Due to the low market price of our hardware setup, 3D face scanning becomes feasible for home use. The proposed algorithm combines the advantages of robust non-rigid registration and fitting of a morphable face model. We obtain a high-quality reconstruction of the facial geometry and texture along with one-to-one correspondences with our generic face model. This representation allows for a wide range of further applications such as facial animation or manipulation. Our algorithm has proven to be very robust. Since it does not require any user interaction, even non-expert users can easily create their own personalized avatars. Copyright © 2011 John Wiley & Sons, Ltd.

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A maximum a posterior probability zero disparity filter (MAP ZDF) ensures coordinated stereo fixation upon an arbitrarily moving, rotating, re-configuring hand, performing marker-less pixel-wise segmentation of the hand. Active stereo fixation permits real-time foveal hand tracking and segmentation over a large visual workspace, allowing investigation of unrestricted natural human gesturing. Hand segmentation is shown to be robust to lighting conditions, defocus, hand colour variation, foreground and background clutter including non-tracked hands, and partial or gross occlusions including those due to non-tracked hands. The system operates at approximately 27fps on a 3GHz single processor PC.


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Question: Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos

The task of video grounding, which temporally localizes a natural language description in a video, plays an important role in understanding videos. Existing studies have adopted strategies of sliding window over the entire video or exhaustively ranking all possible clip-sentence pairs in a pre-segmented video, which inevitably suffer from exhaustively enumerated candidates. To alleviate this problem, we formulate this task as a problem of sequential decision making by learning an agent which regulates the temporal grounding boundaries progressively based on its policy. Specifically, we propose a reinforcement learning based framework improved by multi-task learning and it shows steady performance gains by considering additional supervised boundary information during training. Our proposed framework achieves state-of-the-art performance on ActivityNet'18 DenseCaption dataset and Charades-STA dataset while observing only 10 or less clips per video.

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Contents: The Information Society - The Digital Divide - The Digital Practice Perspective - The Digital Practice of Weak Tie Development - The Digital Practice of Maintaining Family Ties via Mobile Phone - The Digital Practice of Maintaining Digital Enclaves - The Digital Practice Perspective and Social Policy: Improving the Social, Cultural, and Civic Quality of the Digital Environment - Conclusion: Smart Mobs, Flash Mobs, Flash Robs and the Revolutionary Potential of the Digital Environment.


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Question: A brief survey of blackhole detection and avoidance for ZRP protocol in MANETs

Within Mobile Ad-Hoc Network(MANETs) unusual categories of routing protocols have been determined. It is a group of wireless system. MANET is other susceptible to a variety of attack than wired system. Black hole attack is further meticulous intimidation to MANETs. The routing protocols of MANET is less protected and therefore consequenced the system with malicious node. There are various routing protocols being used for MANETs. All routing protocols have been briefly discussed, however, Zone Routing Protocol (ZRP) is discussed in detail. Black hole is a major security threat for MANETs. Hence, in this paper, the various techniques used for detection and avoidance of Black hole attack in MANETs using ZRP routing protocol have been discussed.

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Without any infrastructure MANETs need to utilize the broadcast or multicast modes to transfer efficiently packets between wireless nodes. However, broadcast may easily cause a broadcast storm in the wireless networks, which will lead to network congestion and make the normal packets cannot be transferred. This paper tries to combine the advantages of location-aware distributed cluster algorithm and MAOVD schemes to improve the transmission efficiency and the throughput of MANET in geographic routing protocols. We also identify the problems in broadcast storm and bandwidth wasting problems that could be improved by using the design of our LDCA routing protocol for wireless ad-hoc networks. —Mobile ad-hoc networks, MANET, MAODV, multicast.


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Question: Preliminary investigations of an inductive power transfer system for the rotor power supply of an electric traction drive

The paper is devoted to the substitution of slip rings through an inductive power transfer system (IPT) for field winding supply in wound rotor traction drives. By an inductively coupled rotational transformer, the rotor-side energizing of the excitation windings can be provided isolated and free of wear. For preliminary investigations, an analytical model of the inductive link and the compensation network has been set up. Based on this, possible types of compensation networks regarding an optimal integration into an electric traction drive were carried out and compared among themselves by parameter studies. Using an experimental prototype system and on the basis of accompanying FEM calculations, the analytical model has been validated and the system tested both stationary and transient.

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For example, '['Represent this scientific intro in order to find the title of the paper', 'We extend chiral perturbation theory to study a meson gas out of thermal equilibrium. Assuming that the system is initially in equilibrium at T-i < T-c and working within the Schwinger-Keldysh contour technique, we define consistently the time-dependent temporal and spatial pion decay functions, the counterparts of the pion decay constants, and calculate them to next to leading order. The link with curved space-time QFT allows to establish nonequilibrium renormalisation. The short-time behaviour and the applicability of our model to a heavy-ion collision plasma are also discussed in this work.']' should be close to '['Represent this paper title in order to find a scientific intro to what it is about', 'Nonequilibrium chiral perturbation theory and pion decay functions']'

Abstract : Test and development activities were conducted in the following nine areas: (1) Evaluation of a breadboard multiplexing system driving a fly-by-wire actuator; (2) Evaluate actuation system of six-degree of freedom motion base; (3) Evaluation of general purpose actuator test stand;; (4) Various design concepts were explored for the improvement of branch isolation techniques; (5) Evaluation of a Vickers Inc. integrated servopump actuator package; (6) Investigation of limit cycle characteristics of a General Electric 666A actuator; (7) Literature search and recommendation for a laboratory contamination measurement system choice; (8) Fabrication of a portable flow measurement stand and (9) Design and fabrication of a transducer range and balance panel.


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Question: Hierarchical power management for asymmetric multi-core in dark silicon era

Asymmetric multi-core architectures integrating cores with diverse power-performance characteristics is emerging as a promising alternative in the dark silicon era where only a fraction of the cores on chip can be powered on due to thermal limits. We introduce a hierarchical power management framework for asymmetric multi-cores that builds on control theory and coordinates multiple controllers in a synergistic manner to achieve optimal power-performance efficiency while respecting the thermal design power budget. We integrate our framework within Linux and implement/evaluate it on real ARM big.LITTLE asymmetric multi-core platform.

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We prototyped a dynamically adaptable hybrid electronic/optical interconnect using commodity switches and measured its reconfiguration delay. By reconfiguring the network at runtime to avoid congestion we accelerated the execution of parallel workloads in a real testbed.


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Question: Tobler's First Law of Geography, Self Similarity, and Perlin Noise: A Large Scale Analysis of Gradient Distribution in Southern Utah with Application to Procedural Terrain Generation

A statistical analysis finds that in a 160,000 square kilometer region of southern Utah gradients appear to be exponentially distributed at resolutions from 5m up to 1km. A simple modification to the Perlin noise generator changing the gradient distribution in each octave to an exponential distribution results in realistic and interesting procedurally generated terrain. The inverse transform sampling method is used in the amortized noise algorithm to achieve an exponential distribution in each octave, resulting in the generation of infinite non-repeating terrain with the same characteristics.

Foreword - Philip K. Maini List of Figures List of Notation Introduction and Outline On the Origin of Patterns Mathematical Modeling of Biological Pattern Formation Cellular Automata Random Movement Growth Processes Adhesive Cell Interaction Alignment and Cellular Swarming Pigment Cell Pattern Formation Tissue and Tumor Development Turing Patterns and Excitable Media Discussion and Outlook Appendix A. Growth Processes: A Mean-Field Equation Appendix B. Turing Patterns Appendix C. Excitable Media: Complete Interaction Rule Appendix D. Isotropy, Lattices, and Tensors References Index


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Question: The role of Artificial Intelligence in Software Engineering

There has been a recent surge in interest in the application of Artificial Intelligence (AI) techniques to Software Engineering (SE) problems. The work is typified by recent advances in Search Based Software Engineering, but also by long established work in Probabilistic reasoning and machine learning for Software Engineering. This paper explores some of the relationships between these strands of closely related work, arguing that they have much in common and sets out some future challenges in the area of AI for SE.

Subguide providing specialized resources on the topic of Optimization within the more general area of Industrial and Systems Engineering.


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Question: Learn&Fuzz: Machine learning for input fuzzing

Fuzzing consists of repeatedly testing an application with modified, or fuzzed, inputs with the goal of finding security vulnerabilities in input-parsing code. In this paper, we show how to automate the generation of an input grammar suitable for input fuzzing using sample inputs and neural-network-based statistical machine-learning techniques. We present a detailed case study with a complex input format, namely PDF, and a large complex security-critical parser for this format, namely, the PDF parser embedded in Microsoft's new Edge browser. We discuss and measure the tension between conflicting learning and fuzzing goals: learning wants to capture the structure of well-formed inputs, while fuzzing wants to break that structure in order to cover unexpected code paths and find bugs. We also present a new algorithm for this learn&fuzz challenge which uses a learnt input probability distribution to intelligently guide where to fuzz inputs.

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Three-dimensional structure handling reactions and synthesis property prediction and analysis integrated systems.


Question: Fusion of laser and monocular camera data in object grid maps for vehicle environment perception

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Occupancy grid maps provide a reliable vehicle environmental model and usually process data from range finding sensors. Object grid maps additionally contain information about the classes of objects, which is crucial for applications like autonomous driving. Unfortunately, they lack the precision of occupancy grid maps, since they mostly process classification results from camera data by projecting the corresponding images onto the ground plane. This paper proposes a modular framework to create precise object grid maps. The presented algorithm creates classical occupancy grid maps and object grid maps. In a combination step, it transforms both maps into the same frame of discernment based on the Dempster-Shafer theory of evidence. This allows fusing the maps to one object grid map, which contains valuable object information and at the same time benefits from the precision of the occupancy grid map.

The use of rovers in navigating dangerous and uncharted terrains for localization, mapping and data-gathering for search and rescue in disaster management is a challenging domain, especially with constrained network connectivity. In this paper, a rover mounted rotating turret-based 2D ultrasonic distance mapping and Inertial Measurement Unit (IMU)-based dead-reckoning (R2D2) mechanism is proposed. The wireless rover is operated over a constrained network, allowing its handler to gather situational awareness of a hazardous site remotely, and without risking lives. A visualization of the path of this rover by means of a low data intensity fusion map generated using a combination of ultrasonic distance measurements and relative positioning information from the dead-reckoning system is performed by the remote operator.


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Question: Internal vs. external information in visual perception

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One of the more compelling beliefs about vision is that it is based on representations that are coherent and complete, with everything in the visual field described in great detail. However, changes made during a visual disturbance are found to be difficult to see, arguing against the idea that our brains contain a detailed, picture-like representation of the scene. Instead, it is argued here that a more dynamic, just-in-time representation is involved, one with deep similarities to the way that users interact with external displays. It is further argued that these similarities can provide a basis for the design of intelligent display systems that can interact with humans in highly effective and novel ways.

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Abstract : Research progress is reported on visual perception, reaction times for noiseless situations, visual searching, and eye movement.


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Question: A certified type-preserving compiler from lambda calculus to assembly language

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We present a certified compiler from the simply-typed lambda calculus to assembly language. The compiler is certified in the sense that it comes with a machine-checked proof of semantics preservation, performed with the Coq proof assistant. The compiler and the terms of its several intermediate languages are given dependent types that guarantee that only well-typed programs are representable. Thus, type preservation for each compiler pass follows without any significant "proofs" of the usual kind. Semantics preservation is proved based on denotational semantics assigned to the intermediate languages. We demonstrate how working with a type-preserving compiler enables type-directed proof search to discharge large parts of our proof obligations automatically.

A linear functional language is based on a linear l-calculus. Any linear functional program must observe linearity and it has to be type correct. Type correctness can be ensured by means of a type-checking system. A type checker for a linear functional language is essentially a type-checker for an ordinary functional language, modified to properly handle the modality ofcourse.


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Question: The Application of Deep Convolutional Denoising Autoencoder for Optical Character Recognition Preprocessing

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The process of converting physical documents into digital texts generally requires a scanner tool to obtain high-quality document images. These high quality images will be read by OCR software to get digital text results. The weakness of this method is that OCR software requires a high quality document with low blur noise and no parallax in the image to have high accuracy. We developed an application to increase the document image quality with the help of Deep Convolutional Denoising Autoencoder, afterwards read by the OCR application. The final product of this program is a digital text converted from a document image which has been taken from a smartphone. There is an increase in accuracy using this application by 26.68% in a blurred image compare to standard Tesseract OCR and outperformed Simple OCR in average accuracy testing.

A. Filippidis, M. Russo, L.C. Jain: Novel Extension of ART2 in Surface Landmine Detection.- M. Blume: An Efficient Mapping of Fuzzy ART onto a Neural Architecture.- M. Blume, D.A. Van Blerkom: Fuzzy ARTMAP Modifications for Intersecting Class Distributions.- A.-H. Tan: Supervised Adaptive Resonance Theory and Rules.- G. Bartfai, R. White: Incremental Learning and Optimization of Hierarchical Clusterings with ART-Based Modular Networks.- C.P. Lim, R.F. Harrison: ART-Based Autonomous Learning Systems: Part I - Architectures and Algorithms.- C.P. Lim, R.F. Harrison: ART-Based Autonomous Learning Systems: Part II - Applications.- T. Serrano-Gotarredona, B. Linares-Barranco: Adaptive Resonance Theory Microchips.


Question: represent the title for retrieving the corresponding scientific abstract For instance you may be given '['Represent this title from a paper to retrieve its scientific short abstract', 'Planar Hall effect in electrodeposited CoCu/Cu multilayer']' and it should match with '['represent this scientific intro in order to find the title of the paper', 'Electrodeposited CoCu/Cu multilayers were investigated by measuring both anisotropic magnetoresistance (AMR) and planar Hall effect (PHE) simultaneously. Studies have been carried out on a [Co(3 nm)/Cu(4 nm)]50 multilayer sample, where a maximum of −8.8 % GMR was observed at room temperature. A direct comparison of AMR and PHE output has been made both as a function of field and its relative orientation with respect to the current. Marked changes in PHE loops were observed at different angles (between magnetic field and applied current) whereas no noticeable changes could be found for AMR results. Such PHE outputs are the manifestations of complex spin reorganization due to strong antiferromagnetic-coupling between adjacent magnetic layers. In case of angular dependence output, when the applied field is less than the coercive field, the PHE output shows a deviation from the Sin2θ dependence that can be correlated to the domain wall propagation.']' but not with '['Represent the abstract for retrieving the scientific paper title', 'We report on the investigation of morphology, magnetic and conductive properties of the mutilayered nanostructures [(Co40Fe40B20)(34)(SiO2)(66)]/[C](47) consisting of the contacting magnetic (Co Fe ...']'.

Question: Trust in Typical and High-Reliability Contexts: Building and Reacting to Trust among Firefighters

We develop theory that distinguishes trust among employees in typical task contexts (marked by low levels of situational unpredictability and danger) from trust in “high-reliability” task contexts (those marked by high levels of situational unpredictability and danger). A study of firefighters showed that trust in high-reliability task contexts was based on coworkers' integrity, whereas trust in typical task contexts was also based on benevolence and identification. Trust in high-reliability contexts predicted physical symptoms, whereas trust in typical contexts predicted withdrawal. Job demands moderated linkages with performance: trust in high-reliability task contexts was a more positive predictor of performance when unpredictable and dangerous calls were more frequent.

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Contents: The Information Society - The Digital Divide - The Digital Practice Perspective - The Digital Practice of Weak Tie Development - The Digital Practice of Maintaining Family Ties via Mobile Phone - The Digital Practice of Maintaining Digital Enclaves - The Digital Practice Perspective and Social Policy: Improving the Social, Cultural, and Civic Quality of the Digital Environment - Conclusion: Smart Mobs, Flash Mobs, Flash Robs and the Revolutionary Potential of the Digital Environment.


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Question: Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed

We benchmark the BI-population CMA-ES on the BBOB-2009 noisy functions testbed. BI-population refers to a multistart strategy with equal budgets for two interlaced restart strategies, one with an increasing population size and one with varying small population sizes. The latter is presumably of little use on a noisy testbed. The BI-population CMA-ES could solve 29, 27 and 26 out of 30 functions in search space dimension 5, 10 and 20 respectively. The time to find the solution ranges between 100 D and 105 D2 objective function evaluations, where D is the search space dimension.

We present some results attained with two variants of Bounded Dynamic Programming algorithm to solve the Fm|block|C"m"a"x problem using as an experimental data the well-known Taillard instances. We have improved the best known solutions for 17 of Taillard's instances, including the 10 instances from set 12.


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Question: On a Fuzzy Algebra for Querying Graph Databases

This paper proposes a notion of fuzzy graph database and describes a fuzzy query algebra that makes it possible to handle such database, which may be fuzzy or not, in a flexible way. The algebra, based on fuzzy set theory and the concept of a fuzzy graph, is composed of a set of operators that can be used to express preference queries on fuzzy graph databases. The preferences concern i) the content of the vertices of the graph and ii) the structure of the graph. In a similar way as relational algebra constitutes the basis of SQL, the fuzzy algebra proposed here underlies a user-oriented query language and an associated tool implementing this language that are also presented in the paper.

Foundations of Semantic Web Reasoning.- Composing Frameworks and Components for Families of Semantic Web Applications.- Semantic Web Logic Programming Tools.- Web Rules Need Two Kinds of Negation.- Reasoning in Practice.- Towards the Adaptive Semantic Web.- On Reasoning on Time and Location on the Web.- Reasoning about Communicating Agents in the Semantic Web.- Query and Rule-Languages.- A Visual Language for Web Querying and Reasoning.- XML Document Adaptation Queries (XDAQ): An Approach to Adaptation Reasoning Using Web Query Languages.- On Types for XML Query Language Xcerpt.- Integrating Description Logics and Answer Set Programming.- Semantics and Knowledge Representation.- Extracting Mathematical Semantics from Documents.- Reasoning in Attempto Controlled English.- Systematics and Architecture for a Resource Representing Knowledge about Named Entities.


Question: represent this title from a paper to retrieve its scientific short abstract E.g. ['Represent the title for retrieving the corresponding scientific abstract', 'Patents and Trade Secrets in the Internet Age'] == ['represent this scientific intro in order to find the title of the paper\n\n------\n\nThe provided query could be "Sodium 5-hydroxy-4′-methoxyisoflavone-3′-sulfonate was synthesized by sulfonation of pallidiflorin and assembled with ZnII, MgII, and CoII to form [Zn(H2O)6](C16H11O4SO3)2·2H2O (1), [Mg(H2O)6](C16H11O4SO3)2·2H2O (2), and [Co (H2O)6](C16H11O4SO3)2·2H2O (3). In the crystal structures of 1–3, [M(H2O)6]2+, C16H11O4SO3–, and H2O form intermolecular and intramolecular hydrogen bonds. The hydrogen bonds, π–π stacking interactions, and electrostatic interactions between the cations and anions link compounds 1–3 into three-dimensional structures. The thermal stabilities of 1–3 were also investigated." and the positive "Syntheses and Crystal Structures of [M(H2O)6](C16H11O4SO3)2·2H2O (M = Zn, Mg, Co)"', 'Analysis of the challenges faced by the laws of patents and of trade secrets in the age of Internet and big data, particularly in terms of increased accessibility of massive amounts of data (big data), and of FRAND licensing conditions from a global perspective.'] != ['Represent this abstract from a paper to retrieve its scientific title', 'How to Think About R&D Quality. Organizing for Quality in R&D. Measuring R&D Quality. Assessing R&D Quality Status. Intellectual Property Management Process Improvement. Implementing Quality in Research: A Case Example. Views and Lessons Learned at the Top. References. Index.']

Question: Late-Life Drinking Problems: The Predictive Roles of Drinking Level vs. Drinking Pattern

Objective:Research on late-middle-aged and older adults has focused primarily on average level of alcohol consumption, overlooking variability in underlying drinking patterns. The purpose of the present study was to examine the independent contributions of an episodic heavy pattern of drinking versus a high average level of drinking as prospective predictors of drinking problems.Method:The sample comprised 1,107 adults ages 55–65 years at baseline. Alcohol consumption was assessed at baseline, and drinking problems were indexed across 20 years. We used prospective negative binomial regression analyses controlling for baseline drinking problems, as well as for demographic and health factors, to predict the number of drinking problems at each of four follow-up waves (1, 4, 10, and 20 years).Results:Across waves where the effects were significant, a high average level of drinking (coefficients of 1.56, 95% CI [1.24, 1.95]; 1.48, 95% CI [1.11, 1.98]; and 1.85, 95% CI [1.23, 2.79] at 1, 10, and 20 years) and a...

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Overview of Aging, Emotional Health and Behaviour. Section I: Prevalence and Diagnosis. Prevalence of Mental, Behavioural and Neurobehavioral Disorders among Older People with Intellectual Disabilities. Psychopathology and Older Age. General Etiological Issues. Assessment of Behavioural and Psychiatric Disorders. Depression in Adults and Aging Individuals with Intellectual Disabilities. Cognitive Decline and Aging. Behavioural and Psychiatric Overlays from Physical and Medical Conditions. Emotional Health and Aging in Adults with Down Syndrome. Section II Treatments and Interventions. Psychotherapy and Other Psychological Interventions. Aging--Related Behavioural Interventions. Psychotropic Medications. Dynamics of Bereavement and Grief Reactions. Section III Service System Issues. Community Mental Health and Support Services: Planning Principles and Models. Prevention Strategies and Community Education. Future Directions and Challenges


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Question: Combatting human trafficking as an Advanced Generalist social worker

Drawing upon personal, professional, and academic expertise in the areas of runaway, homeless, and street youth, as well as domestic sex trafficking, the author of this article provides readers with a raw and transparent look into to how she, as an Advanced Generalist Social Worker, was led to join the anti-trafficking movement. The complexities of domestic sex trafficking are illustrated through a story that demonstrates the repeated and cyclical trauma that is frequently endured by those subjugated to sex trafficking. Furthermore, the various dimensions of Advanced Generalist Social Work Practice that are needed to address domestic sex trafficking are discussed.

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Do employers know where their employees are going when they are provided with Internet and World Wide Web access? Should they know? Or is that a breach of privacy issue? Exploring this sensitive area is a former consultant for a software company, who is completing his MBA at London Business School.


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Question: Online Professional Development

Online professional development (OPD) is a recent ::: innovation in K-12 school districts. While many ::: studies have examined the skills and competencies of ::: online instructors few studies have examined online ::: learning for adults through the perspective of ::: instructor beliefs. This qualitative case study ::: examined the beliefs of five OPD instructors about ::: online learning for adults, online learning ::: environments, and instructional strategies to ::: facilitate learning. Findings from this study have ::: implications for online instructors, adult learners, ::: and for OPD programs in school districts and academic ::: settings. This book would be useful for scholars and ::: practitioners interested in online teaching and ::: learning in K-12 and academic settings.

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A Helping Hand for Arts, Drama,Music And Film Students! General Tools and Research Information


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Question: RURAL HIGHWAY GRADE INTERSECTION LAY-OUTS AND SPECIAL SIGNS; ADVANTAGES OF T AND Y TYPE INTERSECTION; CLEAR VIEW AREA REQUIRED, WITH DISCUSSION

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Types of intersections are illustrated and described on the basis of experience with their use. The advantages and disadvantages of various configurations--cross, offset, "T", "Y", Forked, and flat angle forked-- are described for simple intersections. Traffic islands, roundabouts, traffic circles, and deceptive layouts are dealt with briefly.

FROM A LONG-RANGE VIEWPOINT, USE OF WIDEBAND COAXIAL-CABLE SYSTEMS OFFERS A PROMISING MEANS OF ACCOMMODATING EXISTING AND FUTURE COMMUNICATIONS, SURVEILLANCE AND CONTROL REQUIREMENTS ON MAJOR HIGHWAYS. INTEGRATION OF A NUMBER OF POINT-TO-POINT AND VEHICLE COMMUNICATION FUNCTIONS MAY BE ACCOMODATED IN A WIDEBAND SYSTEM EXTENDING ALONG THE RIGHT- OF-WAY. RESTRICTION IN SYSTEM TRANSMISSION RANGE OF SIGNALS TO AND FROM VEHICLES IN SUCH A MANNER THAT THE SIGNALS ARE CONFINED PRIMARILY WITHIN THE HIGHWAY AREA MAY BE PROVIDED BY A COMBINATION OF CABLE-MULTIPLEX TECHNIQUES AND INDUCTION-RADIO TRANSMISSION METHODS. /AUTHOR/


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Question: Late-Life Drinking Problems: The Predictive Roles of Drinking Level vs. Drinking Pattern

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Question: Artificial Intelligence in Medicine

After hearing for several decades that computers will soon be able to assist with difficult diagnoses, the practicing physician may well wonder why the revolution has not occurred. Skepticism at this point is understandable. Few, if any, programs currently have active roles as consultants to physicians. The story behind these unfulfilled expectations is instructive and, we believe, offers hope for the future. Research on computer-aided diagnosis began in the 1960s with high hopes that difficult clinical problems might yield to mathematical formalisms. Most work therefore centered on the application of flow charts, Boolean algebra, pattern matching, and decision analysis to . . .

Review of Developments Educational Computing in Practice Educational Software The Future of Educational Computing.


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Question: The time is now for action research

Despite highly systematic methods for identifying priority problems and assessing intervention effects, the recent study by Tourgeman-Bashkin and colleagues would not be considered rigorous by conventional standards of validity, nor would its sample size of three units impress policymakers eager to promote large-scale change through improvement programs. Yet, study findings suggest that no single intervention would have accomplished as much as the action research approach the authors’ employed. This perspective argues that although action research may lend itself to neither clean comparisons of intervention and control units over time nor far-reaching improvement campaigns, its advantages, including responsiveness to context, emphasis on implementation and sustainability, and insight about underlying mechanisms of change, make rigorous action research a highly attractive alternative for engendering real world improvement.

Our regular contributor dissects three books and two major reports dealing with the subject of management.


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Question: You Can't Always Get What You Want

You can't always get what you wantYou can't always get what you wantYou can't always get what you wantBut if you try sometimes, you just might findYou get what you needMick Jagger, Keith Richards—1969 ::: ::: Patient satisfaction has become an important metric for hospitals to report. It is used for various hospital ranking platforms such as that published by US News and World Report as well as for good old-fashioned community marketing. Eventually, patient satisfaction may be incorporated into one of the many outcome measures which are being proposed to adjust payment to hospitals. ::: ::: I think striving to improve patient satisfaction is a good idea. However, measuring an ephemeral qualitative impression such as satisfaction can be unreliable, since gratification depends on the perception of the beholder. Additionally, it can …

1 How's Your Family? 2 Yours Is a Great Job! 3 I Have the Perfect Car for You 4 Where Are the Bags of Chips? 5 Do You Like the Internet? 6 Let's Go Shopping 7 What Are You Doing This Weekend? 8 I want to Have a Hamburger 9 We're Going to See "The Monster That Ate Cleveland"\ 10 Can You See the Stage? 11 What Can I Get You for Your Cold? 12 Take Bus 4 to Second Street 13 I'm Going to Try to Find a Job 14 I've Got to Check Your Teeth 15 I Used to Be an Engineer for the Railroad 16 What's the Fastest Way to Send His Packages? 17 We Arrive on Tuesday and Leave on Thursday 18 Do You Want a Chocolate or Lemon Birthday Cake? 19 I Don't Know What Classes to Take 20 Can't You Find an Apartment? 21 Could You Check My Sink? 22 Who Have You Asked to Fly the Plane? 23 Could I Have an Appointment with Dr. Okamoto? 24 We Should Have Taken a Left


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Question: On Extensions of Intermediate Logics by Strong Negation

In this paper we will study the properties of the least extension n(Λ) of a given intermediate logic Λ by a strong negation. It is shown that the mapping from Λ to n(Λ) is a homomorphism of complete lattices, preserving and reflecting finite model property, frame-completeness, interpolation and decidability. A general characterization of those constructive logics is given which are of the form n (Λ). This summarizes results that can be found already in [13,14] and [4]. Furthermore, we determine the structure of the lattice of extensions of n(LC).

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Inversion of Finite Toeplitz Matrices.- Inversion of Finite ToeplitzMatrices Consisting of Elements of a Noncommutative Algebra.- Matrix Integral Operators on a Finite Interval with Kernels Depending on the Difference of the Arguments.- The Resultant Matrix and its Generalizations. I. The Resultant Operator for Matrix Polynomials.- The Resultant Matrix and its Generalizations. II. The Continual Analogue of the Resultant Operator.- The Spectrum of Singular Integral Operators in L p Spaces.- On an Algebra Generated by the Toeplitz Matrices in the Spaces h p .- On Singular Integral Equations with Unbounded Coefficients.- Singular Integral Equations with Continuous Coefficients on a Composed Contour.- On a Local Principle and Algebras Generated by Toeplitz Matrices.- The Symbol of Singular Integral Operators on a Composed Contour.- One-dimensional Singular Integral Operators with Shift.- Algebras of Singular Integral Operators with Shift.


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Question: Village Savings and Loans Associations — sustainable and cost-effective rural finance

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MFIs and banks find it difficult to cover the costs of providing rural financial services – especially in Africa. In its large-scale Village Savings and Loans Associations (VS&LA) programmes in Africa, CARE is tackling these difficulties by encouraging the formation of village loan funds entirely composed of members' savings, keeping the time-bound savings and lending methodology very simple and limiting external involvement to a one-year training and follow-up period. This article describes how the methodology works in principle and practice and describes evaluation results from the CARE VS&L programme in Zimbabwe, where very high rates of inflation pose a challenge to any microfinance programmes. Finally the need for management information systems and better record keeping are identified as issues that need further development.

Micro-finance has been promoted as a key strategy for poverty reduction. It is seen as the ideal self-help strategy whereby poor people can help themselves through productive use of loans and savings. Through their own efforts therefore they are see to be able to pull themselves up out of poverty. Micro-finance clients are however particularly vulnerable to a range of risks. These not only threaten the livelihoods and wellbeing of clients but also affect loan repayment and savings deposits and hence the sustainability of micro-finance programmes.


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Question: You Can't Always Get What You Want


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Question: Fluorescence in situ hybridization

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In situ hybridization (ISH) is used to visualize defined nucleic acid sequences in cellular preparations by hybridization of complementary probe sequences. Probe sequences can be labeled with isotopes, but nonisotopic ISH is used increasingly as it is considerably faster, usually has greater signal resolution, and provides many options to simultaneously visualize different targets by combining various detection methods. The most popular protocols use fluorescence detection, as described here. These protocols have many applications, from basic gene mapping and diagnosis of chromosomal aberrations1,2,3 to detailed studies of cellular structure and function, such as the painting of chromosomes in three-dimensionally preserved nuclei4,5. This protocol describes fluorescence in situ hybridization (FISH) of biotin- or digoxigenin-labeled probes to denatured metaphase chromosomes and interphase nuclei. The hybridized probes are detected and visualized using fluorochrome-conjugated reagents.

Currently, suppression of repetitive DNA sequences (chromosomal in situ suppression hybridization (CISS hybridization)) is used to improve the results of fluorescence in situ hybridization (FISH). However, sometimes the suppression cannot be performed due to insufficient amounts of DNA of some species. This paper presents a new approach that allows visualization of a signal from chromosome-specific DNA sequences by means of computer-assisted analysis of FISH images.


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"['Represent this paper title in order to find a scientific intro to what it is about', 'Empirical Characterization of Call Money Market in India']" == "['Represent the abstract for retrieving the scientific paper title', 'This Paper attempts to analyze the behavior of call money market in India. It also attempts to view the inter-linkages among three markets i.e. Call money, Stock & Foreign exchange market in India during the post-reform period. The finding casts some light on the inter-linkages among the three markets. There exists a stable long-run relationship among them. So players in these markets keep shifting their funds in the expectation of earning higher returns and to reduce their exposure to risk.']" != "['Represent this abstract from a paper to retrieve its scientific title!', '· Global Risk Management’s Emergence · The Contours of Financial Risk · Market Risk: Tools and Uses · Commodity Market · Currency Market · Fixed-Income Market · Equity Market · The Schism in Credit Risk Management · Credit Risk Management for Trading · Credit Risk Management for Traditional Lending · Market Risk in Portfolios · Simulation · Risk Management: The Vision and the Reality · The Global Risk Management Development Model · Developing GRM: What Works, What Doesn’t']"

Question: Securing the Internet of Things

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This paper presents security of Internet of things. In the Internet of Things vision, every physical object has a virtual component that can produce and consume services Such extreme interconnection will bring unprecedented convenience and economy, but it will also require novel approaches to ensure its safe and ethical use. The Internet and its users are already under continual attack, and a growing economy-replete with business models that undermine the Internet's ethical use-is fully focused on exploiting the current version's foundational weaknesses.

Part of Energy Forum study on "Unlocking the Assets: Energy and the Future of Central Asia and the Caucasus"


Question: On the Equivalence of Differential Equations in the Sense of Coincidence Reflecting Functions

We use a new method for constructing some differential equations which are equivalent to a given equation in the sense of having the same reflecting function. We completely solve the problem: when is a polynomial differential equation equivalent to a given polynomial differential equation? Many sufficient conditions have been established for one differential equation to be equivalent to a given differential equation. We apply the obtained results to study the boundary value problem of two equivalent differential equations.

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Provided: "['Represent the abstract for retrieving the scientific paper title', 'Despite the availability of various substance abuse treatments, alcohol and drug misuse and related negative consequences remain prevalent. Vipassana meditation (VM), a Buddhist mindfulness-based practice, provides an alternative for individuals who do not wish to attend or have not succeeded with traditional addiction treatments. In this study, the authors evaluated the effectiveness of a VM course on substance use and psychosocial outcomes in an incarcerated population. Results indicate that after release from jail, participants in the VM course, as compared with those in a treatment-as-usual control condition, showed significant reductions in alcohol, marijuana, and crack cocaine use. VM participants showed decreases in alcohol-related problems and psychiatric symptoms as well as increases in positive psychosocial outcomes. The utility of mindfulness-based treatments for substance use is discussed.']" Match: "['Represent this paper title in order to find a scientific intro to what it is about', 'Mindfulness meditation and substance use in an incarcerated population.']"

Preface. 1. On Regularization of Linear Equations on the Basis of Perturbation Theory. 2. Investigation of Bifurcation Points of a Nonlinear Equations. 3. Regularization of Computation of Solutions in a Neighborhood of the Branch Point. 4. Iterations, Interlaced Equations and Lyapunov Conbex Majorants in Nonlinear Analysis. 5. Methods of Representation Theory and Group Analysis in Bifurcation Theory. 6. Singular Differential Equations in Banach Spaces. 7. Steady-State Solutions of the Vlasov-Maxwell System. Appendices. A: Positive solutions of the nonlinear singular boundary value problem of magnetic insulation. References. Index.


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Question: Keyword extraction from a single document using word co-occurrence statistical information

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We present a new keyword extraction algorithm that applies to a single document without using a corpus. Frequent terms are extracted first, then a set of cooccurrence between each term and the frequent terms, i.e., occurrences in the same sentences, is generated. Co-occurrence distribution shows importance of a term in the documentas follows. If probability distribution of co-occurrence between term a and the frequent terms is biased to a particular subset of frequent terms, then term a is likely to be a keyword. The degree of biases of distribution is measured by the χ 2 -measure. Our algorithm shows comparable performance to tfidf without using a corpus.

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This paper proposes method for aspect identification and sentiment analysis. This paper deals with the problem of sentence level. We use semantic syntax tree to extract NP nodes, a method based on slack to identify aspect and mini-support function to narrow aspect; to analyze the sentiment for the aspect we use dictionary-based method. Experimental results show that the proposed approach achieves the state-of-the-art.


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Question: Mining Domain-Specific Thesauri from Wikipedia: A Case Study

Domain-specific thesauri are high-cost, high-maintenance, high-value knowledge structures. We show how the classic thesaurus structure of terms and links can be mined automatically from Wikipedia. In a comparison with a professional thesaurus for agriculture we find that Wikipedia contains a substantial proportion of its concepts and semantic relations; furthermore it has impressive coverage of contemporary documents in the domain. Thesauri derived using our techniques capitalize on existing public efforts and tend to reflect contemporary language usage better than their costly, painstakingly-constructed manual counterparts.

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Foundations of Semantic Web Reasoning.- Composing Frameworks and Components for Families of Semantic Web Applications.- Semantic Web Logic Programming Tools.- Web Rules Need Two Kinds of Negation.- Reasoning in Practice.- Towards the Adaptive Semantic Web.- On Reasoning on Time and Location on the Web.- Reasoning about Communicating Agents in the Semantic Web.- Query and Rule-Languages.- A Visual Language for Web Querying and Reasoning.- XML Document Adaptation Queries (XDAQ): An Approach to Adaptation Reasoning Using Web Query Languages.- On Types for XML Query Language Xcerpt.- Integrating Description Logics and Answer Set Programming.- Semantics and Knowledge Representation.- Extracting Mathematical Semantics from Documents.- Reasoning in Attempto Controlled English.- Systematics and Architecture for a Resource Representing Knowledge about Named Entities.


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Question: Diffusion Strategies for Distributed Kalman Filtering and Smoothing

We study the problem of distributed Kalman filtering and smoothing, where a set of nodes is required to estimate the state of a linear dynamic system from in a collaborative manner. Our focus is on diffusion strategies, where nodes communicate with their direct neighbors only, and the information is diffused across the network through a sequence of Kalman iterations and data-aggregation. We study the problems of Kalman filtering, fixed-lag smoothing and fixed-point smoothing, and propose diffusion algorithms to solve each one of these problems. We analyze the mean and mean-square performance of the proposed algorithms, provide expressions for their steady-state mean-square performance, and analyze the convergence of the diffusion Kalman filter recursions. Finally, we apply the proposed algorithms to the problem of estimating and tracking the position of a projectile. We compare our simulation results with the theoretical expressions, and note that the proposed approach outperforms existing techniques.

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Preliminaries.- An Overview of Empirical Process Optimization.- Elements of Response Surface Methods.- Optimization Of First Order Models.- Experimental Designs For First Order Models.- Analysis and Optimization of Second Order Models.- Experimental Designs for Second Order Models.- Statistical Inference in Process Optimization.- Statistical Inference in First Order RSM Optimization.- Statistical Inference in Second Order RSM Optimization.- Bias Vs. Variance.- Robust Parameter Design and Robust Optimization.- Robust Parameter Design.- Robust Optimization.- Bayesian Approaches in Process Optimization.- to Bayesian Inference.- Bayesian Methods for Process Optimization.- to Optimization of Simulation and Computer Models.- Simulation Optimization.- Kriging and Computer Experiments.- Appendices.- Basics of Linear Regression.- Analysis of Variance.- Matrix Algebra and Optimization Results.- Some Probability Results Used in Bayesian Inference.


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Question: A lightweight web-based case tool for sequence diagrams

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This paper presents a simple lightweight Case tool to support manipulation of UML sequence diagrams. The tool is intended to have high usability to facilitate communication and discussion in the early part of the design process, where sequence diagrams are frequently used to explore and explain object interaction. The tool is web-based to maximise accessibility and use by teams, and uses a simple yet effective image tiling technology to allow manipulation of the diagrams from any web browser.

System designers construct a conceptual model ? independent of, and interfacing with, application and device models ?and apply it to the PS300 graphics display system for assembly purposes.


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Question: Recommender Systems for the Semantic Web

This paper presents a semantic approach to Recommender Systems (RS), to exploit available contextual information about both the items to be recommended and the recommendation process, in an attempt to overcome some of the shortcomings of traditional RS implementations. An ontology is used as a backbone to the system in the proposed architecture to represent the problem domain, while multiple web services are orchestrated to compose a suitable recommendation model, matching the current recommendation context at run-time. In order to allow for such dynamic behaviour, the proposed system tackles the recommendation problem by applying existing RS techniques on three different levels: the selection of appropriate sets of features, recommendation model and recommendable items.

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Why Data Mining is Important: What is Customer-Centric Data Mining? How Data Mining Can Enhance Your Services and Products Data Mining Can Solve Your Most Difficult Problems The Data Mining Process Pillars of the Data Mining Framework: The Information Technology of Business Intelligence The Data in Data Mining The Mathematics of Data Mining Data Mining Techniques: Knowledge Discovery Data Mining Techniques: More Knowledge Discovery Data Mining Techniques: Predictive Models Data Mining Management: Common Reasons Data Mining Projects Fail Overcoming Obstacles Successful Data Mining Project Management Data Mining in Practice--Case Studies: Data Mining in: Customer Service, Retail, Insurance, Financial Services, Health Care and Medicine, Telecommunications, Transportation and Logistics, Energy, and Government Glossary Bibliography Appendixes: Vendor Information "STAT 101" Techniques Listed by Methodology Phase


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Question: Assessment of jerk performance s-curve and trapezoidal velocity profiles

nowadays, there are several techniques for the acceleration and deceleration of computer numerical control (CNC) machine tools and industrial robots (Robot manipulators) in order to plan smoother trajectories avoiding the jerk and another kind of stress. The aim of this article is to show a comparison between the trapezoidal and s-curve velocity profile used in robotics and CNC machinery. After doing that, the reader will be able to select a velocity profile in order to design their trajectories.

This paper presents locomotive traction controllers based on proportional-integral and sliding mode control with a fuzzy logic creep reference generator; and compares their performance based on tractive efforts under various operation speeds. The effect of change of wheel-rail friction conditions under different controllers is also investigated. In particular, a sliding mode traction controller based on a fuzzy logic creep reference generator is developed to tackle non-linearity and uncertainty due to the contact conditions and operation speeds. It is shown that at high-speed operation, the fuzzy logic based sliding mode controller can achieve higher tractive force with lower creep values.


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Question: Learning semantic representations using convolutional neural networks for web search

This paper presents a series of new latent semantic models based on a convolutional neural network (CNN) to learn low-dimensional semantic vectors for search queries and Web documents. By using the convolution-max pooling operation, local contextual information at the word n-gram level is modeled first. Then, salient local fea-tures in a word sequence are combined to form a global feature vector. Finally, the high-level semantic information of the word sequence is extracted to form a global vector representation. The proposed models are trained on clickthrough data by maximizing the conditional likelihood of clicked documents given a query, us-ing stochastic gradient ascent. The new models are evaluated on a Web document ranking task using a large-scale, real-world data set. Results show that our model significantly outperforms other se-mantic models, which were state-of-the-art in retrieval performance prior to this work.

The gap between the user's information need and query is expanding due to the pervasiveness of Web search. Multimedia question answering is restricted by disjoint infrastructures of text, image, video and audio content. We address the construction and integration of multiple sources of related information. In particular, we consider the challenging information need of betweenness and defining it for any form of multimedia. We motivate betweenness definition using four questions and suggest k nearest neighbor as a first-step solution.


Question:
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The provided query could be '['represent this paper title in order to find a scientific intro to what it is about\n\nGiven Anatomy of the Auriculotemporal Nerve: Variations in Its Relationship to the Superficial Temporal Artery and Implications for the Treatment of Migraine Headaches, a positive would be Background:Clinical experience with surgical decompression of specific peripheral nerves in the head and neck for the relief of migraine headache symptoms has proven to be effective in most patients. Some patients, however, continue to have residual symptoms after these procedures. In an effort to b & a negative would be I. Foundations of Injury Prevention 1. Introduction to Injury Care 2. Legal Issues 3. Injury Prevention II. Injury Pathology, Assessment and Management 4. Injury Mechanism and Classification of Injury 5. The Healing Process 6. Injury Management 7. Injury Assessment 8. Emergency Conditions III. Specific Conditions 9. Cranial & Facial Conditions 10. Spinal Conditions 11. Throat, Thorax & Visceral Conditions 12. Shoulder Conditions 13. Elbow, Wrist and Hand Conditions 14. Pelvis, Hip and Thigh Conditions 15. Knee Conditions 16. Foot, Ankle and Lower Leg Conditions IV. Special Considerations 17. Environmental Conditions 18. Systemic Conditions', 'The Torque and Current Ripple Minimization of BLDC Motor Using Novel Phase Voltage Method for High Speed Applications']' and the positive '['Represent this scientific intro in order to find the title of the paper.', 'This paper introduce a novel sensorless control for the Brushless DC motor drive by phase voltage method for minimizing the torque and current ripple in high speed, high power applications. The commutation signals for the six switch inverter are generated from the phase voltage. In each phase commutation two switches conduct corresponding to the truth table logic. Delay occurring in speed is compensated by the phase voltage deviation. Selection of commutation logic in a parallel mode improves the efficiency of system by reducing the operation delay. Compared with the existing traditional control torque and current ripple of BLDC motor can be significantly reduced by using this proposed method.']' and the negative '['Represent this scientific intro in order to find the title of the paper', 'Introduction.- Analog Signals Conditioning and Discretization.- Selected Methods of Signal Filtration and Separation and their Implementation.- Selected Active Power Filter Control Algorithms.- Digital Signal Processing Circuits for Digital Class D Power Amplifiers.- Conclusion.']'

Question: Temporal Difference Networks for Video Action Recognition

Deep convolutional neural networks have been great success for image based recognition tasks. However, it is still unclear how to model the temporal evolution of videos effectively by deep networks. While recent deep models for videos show improvement by incorporating optical flow or aggregating high level appearance across frames, they focus on modeling either the long term temporal relations or short term motion. We propose Temporal Difference Networks (TDN) that model both long term relations and short term motion from videos. We leverage a simple but effective motion representation: difference of CNN features in our network and jointly modeling the motion at multiple scales in a single CNN. It achieves state-of-the-art performance on three different video classification benchmarks, showing the effectiveness of our approach to learn temporal relations in videos.

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Papers on: Genetic Algorithms, Connectionist Models, Case-Based Reasoning, Information Retrieval, Learning, Robotics, Planning and Scheduling, Natural Language Processing and Cognitive Linguistics.


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Question: An Integrated Success Model for Evaluating Information System in Public Sectors

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This study modified the dimensions of the TAM and DM the proposed model has been validated by an empirical study based on a questionnaire. The results indicated that information quality has a strong significant influence on IS success (81.9%) followed by Behavioral intention (80.2%); Perceived usefulness (78.8%); whereas the least one is user involvement (70%). The overall results show that the proposed model can be beneficial for decision makers in organizations on evaluating the implementation of information systems. Key wards: DeLone & McLean IS success model, Technology Acceptance Model, Integrated IS Success Model

How to Think About R&D Quality. Organizing for Quality in R&D. Measuring R&D Quality. Assessing R&D Quality Status. Intellectual Property Management Process Improvement. Implementing Quality in Research: A Case Example. Views and Lessons Learned at the Top. References. Index.


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Question: Information, Utility&Bounded Rationality

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Given ['Represent the abstract for retrieving the scientific paper title', "ABSTRACT A revised model of group development for all-male groups is presented. The purpose of such groups is the restoration of relational connection. The model emphasizes the creation of a safe environment as a necessary first stage, with conflict and difference occurring at a later stage. The author builds on ideas from the “Boston model” and Linda Schiller's work on group developmental stages. The model is based on practice experience with over sixty men's groups, led by more than two dozen practitioners."], a positive would be ['Represent this paper title in order to find a scientific intro to what it is about', "Men Connecting and Changing–Stages of Relational Growth in Men's Groups"]

Perfectly rational decision-makers maximize expected utility, but crucially ignore the resource costs incurred when determining optimal actions. Here we employ an axiomatic framework for bounded rational decision-making based on a thermodynamic interpretation of resource costs as information costs. This leads to a variational"free utility"principle akin to thermodynamical free energy that trades off utility and information costs. We show that bounded optimal control solutions can be derived from this variational principle, which leads in general to stochastic policies. Furthermore, we show that risk-sensitive and robust (minimax) control schemes fall out naturally from this framework if the environment is considered as a bounded rational and perfectly rational opponent, respectively. When resource costs are ignored, the maximum expected utility principle is recovered.

AbstractThe following sections are included:IntroductionThe Information Sharing to Make Use of an ICT SystemThe Evaluation Function of the ICT SystemThe Value Propagation Chain Caused by the ICT SystemActive Use of the Evaluation Function in KPMAn Example of Visualizing the Effect of Risk Distribution on InvestmentSample calculationDiscussionConclusionReferences


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Question: Advantages of a Model-Based Library for Scientific Experiments

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In many research areas, such as the material sciences, researchers plan and conduct numerous experiments. The corresponding findings are published, while the underlying data remains described haphazardly or not at all within the respective institutes and, therefore, is neither shared nor reused by the scientific community.

Part 1: Application Mapping and Communication Infrastructure: Virtualization in NOCs--Enhanced MPSOC Robustness and Performance Verification.-HW Support to Exploit Parallelism in Homogeneous and Heterogeneous Multicore System-on-Chip.-PALLAS: Mapping Applications onto Manycore.-Part 2: Reconfigurable Hardware in Multiprocessor Systems: Adaptive Multiprocessor System on Chip Architecture.-Designing FPGA Systems with Many Processors.-Part 3: Physical Design of Multiprocessor Systems: Design tools and methods for chip physical design.-Challenges in Physical Design for Multi- and Manycore Hardware Architectures.


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Question: Comparison of PCA -, MDF -, and RD-LDA - based feature extraction approaches for hand-based personal recognition

In this paper, Principal Component Analysis (PCA), Most Discriminant Features (MDF), and Regularized-Direct Linear Discriminant Analysis (RD-LDA) - based feature extraction approaches are tested and compared in an experimental personal recognition system. The system is multimodal and bases on features extracted from nine regions of an image of the palmar surface of the hand. For testing purposes 10 gray-scale images of right hand of 184 people were acquired. The experiments have shown that the best results are obtained with the RD-LDA - based features extraction approach (100% correctness for 920 identification tests and EER = 0.01% for 64170 verification tests).

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This paper is a description of recent advances in off-line signature verification research performed at our laboratory. Related works pertain to structural interpretation of signature images, directional PDF used as a global shape factor, the Extended Shadow Code (ESC) and the fuzzy ESC, a cognitive approach based on the Fuzzy ARTMAP, and shape factors related to visual perception.


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Question: Design and development of 77-GHz pair-slot array antenna with single-mode post-wall waveguide for automotive radar

A 77-GHz slot array antenna with a single-mode post-wall waveguide is presented for automotive radars. First, transmission losses and fabrication costs of various transmission lines in millimeter-wave band are compared. The measured transmission loss in the 77-GHz post-wall waveguide integrated in a PTFE substrate at 77 GHz is shown 0.20 dB/cm, which is less than that of the microstrip line. Then, the design method of one-dimensional slot subarray with the single-mode post-wall waveguide is discussed. Finally, an antenna system composed of four subarrays has been fabricated. The measured gain of the antenna system is 24.4 dBi gain at the designed frequency of 76.5 GHz, and the efficiency for aperture size of 55 mm by 9.2 mm is 67%.

This paper reviews some recently developed compact wideband bandpass filters based on the multilayer liquid crystal polymer technology, including multilayer lump-element bandpass filter, multilayer multiple-mode filter and multilayer lump-element-resonator bandpass filter. Miniature techniques using the multilayer topologies on multilayer liquid crystal polymer substrates are described with some examples, which can be explored for reducing the size of the modern high density communication systems.


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Question: The volcanormal density for radar-based extended target tracking

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This paper presents a novel shape model for radar-based vehicle tracking. This model is a special probability density function (pdf), designed to approximate the radar measurement spread of a vehicle more adequately than widely used models. While this pdf is used to determine the likelihood of the spatial measurements, additionally a recent Doppler measurement model is integrated in a maximum likelihood estimator. This formulation allows the estimation of a vehicle's pose, motion and axis lengths based on the radar's spatial and Doppler dimension. On this basis, an efficient computation method is derived. An evaluation of actual radar and ground truth data demonstrates the precise estimation of a vehicle's state.

A model evaluation has been undertaken by considering a diagnostic evaluation of the distance dependent structure of a single source footprint.


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Question: Clustering techniques: The user's dilemma

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Abstract Numerous papers on clustering techniques and their applications in engineering, medical, and biological areas have appeared in pattern recognition literature during the past decade. This paper attempts to set some guidelines for a potential user of a clustering technique. We examine eight clustering programs which are representative of the various available techniques and compare their performances from several points of view. A formal comparative analysis is also performed with a portion of Munson's handprinted character data set. We believe that an understanding of the intrinsic characteristics of a clustering technique is essential to the intelligent application of the technique. Further, the output of a clustering program, along with whatever information a user may have about the data set, should be used together to form hypotheses about the structure of the data set.

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Provided: "['Represent this scientific intro in order to find the title of the paper', 'One may confidently expect that the accomplishments of wartime technology will find many and useful applications in the arts of peace. Since World War II was pre-eminent among wars in its engineering achievements, it is natural to anticipate that its peacetime contributions may also be outstanding. Readers of the IRE journal will accordingly find much of interest in the following guest editorial-prepared by a scientific executive who is, as well, a Major General in the United States Signal Corps. With the easing of security restrictions the extent and importance of the contributions of science to warfare in radar, communications, and related electronic fields have been disclosed to the public. We can now foresee the early and widespread application of these new techniques to the needs of commerce and industry.']" Match: "['Represent this paper title in order to find a scientific intro to what it is about', 'Commercial Applications of Wartime Science']"

Data mining is the term used to describe the proc ess of extracting valuable information from a datab ase. In this survey paper, we offer a revision of the Data Mining & its Uses and tools. This survey paper is a lso focused on the techniques of Data Mining & its Algorithm, Application, benefits and drawbacks. The goal of this r eview is to provide a comprehensive review of Information Extraction using Data Mining Technique.


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Question: Utilizing Purchase Intervals in Latent Clusters for Product Recommendation

Collaborative filtering have become increasingly important with the development of Web 2.0. Online shopping service providers aim to provide users with quality list of recommended items that will enhance user satisfaction and loyalty. Matrix factorization approaches have become the dominant method as they can reduce the dimension of the data set and alleviate the sparsity problem. However, matrix factorization approaches are limited because they depict each user as one preference vector. In practice, we observe that users may have different preferences when purchasing different subsets of items, and the periods between purchases also vary from one user to another. In this work, we propose a probabilistic approach to learn latent clusters in the large user-item matrix, and incorporate temporal information into the recommendation process. Experimental results on a real world dataset demonstrate that our approach significantly improves the conversion rate, precision and recall of state-of-the-art methods.

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Question: Improved Neural Text Attribute Transfer with Non-parallel Data

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Text attribute transfer using non-parallel data requires methods that can perform disentanglement of content and linguistic attributes. In this work, we propose multiple improvements over the existing approaches that enable the encoder-decoder framework to cope with the text attribute transfer from non-parallel data. We perform experiments on the sentiment transfer task using two datasets. For both datasets, our proposed method outperforms a strong baseline in two of the three employed evaluation metrics.

These invited talks discuss the following: STG Decomposition and Its Correctness; Asynchronous Network-On-Chip and its Potential.


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Question: Joint Online Spoken Language Understanding and Language Modeling with Recurrent Neural Networks

Speaker intent detection and semantic slot filling are two critical tasks in spoken language understanding (SLU) for dialogue systems. In this paper, we describe a recurrent neural network (RNN) model that jointly performs intent detection, slot filling, and language modeling. The neural network model keeps updating the intent estimation as word in the transcribed utterance arrives and uses it as contextual features in the joint model. Evaluation of the language model and online SLU model is made on the ATIS benchmarking data set. On language modeling task, our joint model achieves 11.8% relative reduction on perplexity comparing to the independent training language model. On SLU tasks, our joint model outperforms the independent task training model by 22.3% on intent detection error rate, with slight degradation on slot filling F1 score. The joint model also shows advantageous performance in the realistic ASR settings with noisy speech input.

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Foundations of Semantic Web Reasoning.- Composing Frameworks and Components for Families of Semantic Web Applications.- Semantic Web Logic Programming Tools.- Web Rules Need Two Kinds of Negation.- Reasoning in Practice.- Towards the Adaptive Semantic Web.- On Reasoning on Time and Location on the Web.- Reasoning about Communicating Agents in the Semantic Web.- Query and Rule-Languages.- A Visual Language for Web Querying and Reasoning.- XML Document Adaptation Queries (XDAQ): An Approach to Adaptation Reasoning Using Web Query Languages.- On Types for XML Query Language Xcerpt.- Integrating Description Logics and Answer Set Programming.- Semantics and Knowledge Representation.- Extracting Mathematical Semantics from Documents.- Reasoning in Attempto Controlled English.- Systematics and Architecture for a Resource Representing Knowledge about Named Entities.


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Question: Generating Pseudo-ground Truth for Predicting New Concepts in Social Streams

The manual curation of knowledge bases is a bottleneck in fast paced domains where new concepts constantly emerge. Identification of nascent concepts is important for improving early entity linking, content interpretation, and recommendation of new content in real-time applications. We present an unsupervised method for generating pseudo-ground truth for training a named entity recognizer to specifically identify entities that will become concepts in a knowledge base in the setting of social streams. We show that our method is able to deal with missing labels, justifying the use of pseudo-ground truth generation in this task. Finally, we show how our method significantly outperforms a lexical-matching baseline, by leveraging strategies for sampling pseudo-ground truth based on entity confidence scores and textual quality of input documents.

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"['Represent the next text.', 'To solve the problems in symbol rate estimation of time-frequency overlapped two-signal in the single-channel,the algorithm of the power spectrum based on fourth-order cyclic cumulants is presented.Through computing the fourth-order cyclic cumulants of received signals at different frequencies,the impulse of two-signal at cyclic frequency is received,and then the power spectrum of impulse sequence is analyzed to abstract the connotative periodicity to estimate the symbol rate.The algorithm could be applied to estimate the common digital modulation type,and also have a good capability in low SNR.Theoretical analysis and experiment results both verify that the algorithm is correct and efficient.']" == "['Represent the title for retrieving the corresponding scientific abstract', 'Method for Symbol Rate Estimation of Single-Channel Time-Frequency Overlapped Two-Signal']"


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Question: Subhallucal Interphalangeal Sesamoiditis: A Rare Cause of Chronic Great Toe Pain

Subhallucal interphalangeal sesamoiditis presenting as chronic great toe pain is a rarely reported clinical entity, being often overlooked and misdiagnosed for other pathologies. By altering the biomechanics of the movements at great toe, the interphalangeal sesamoid is prone to various painful pathologies like trauma, infection, degeneration, osteonecrosis and inflammation. Imaging plays an important role in narrowing down the differentials and guiding for appropriate therapy. Herein, we present a neglected case of hallucal interphalangeal sesamoiditis presenting as a case of chronic great toe pain and discuss the role of Magnetic resonance imaging (MRI) and Computed tomography (CT) scan in its diagnosis.

1. Burning Mouth Disorder 2. Candidiasis/Candidosis 3. Chapped/Cracked Lips 4. Cheilitis/Cheilosis (Actinic, Solar) 5. Cheilitis/Cheilosis (Angular) 6. Denture Sore Mouth 7. Erythema Multiforme 8. Geographic Tongue (Benign Migratory Glossitis, Erythema Migrans) 9. Gingival Overgrowth 10. Herpetic Gingivostomatitis (Primary Herpes) 11. Herpes Simplex Recurrent (Orofacial) 12. Herpes Zoster (Shingles) 13. Lichen Planus 14. Management of Patients Receiving Antineoplastic Agents and Radiation Therapy 15. Pemphigus Vulgaris and Mucous Membrane Pemphigoid 16. Recurrent Apthous Stomatitis 17. Taste and Smell Disorders (Chemosensory Disorders) 18. Xeroxtomia (Reduced Salivary Flow and Dry Mouth)


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Question: Large-Scale Cover Song Identification Using Chord Profiles

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This paper focuses on cover song identification among datasets potentially containing millions of songs. A compact representation of music contents plays an important role in large-scale analysis and retrieval. The proposed approach is based on high-level summarization of musical songs using chord profiles. Search is performed in two steps. In the first step, the Locality Sensitive Hashing (LHS) method is used to retrieve songs with similar chord profiles. On the resulting list of songs a second processing step is applied to progressively refine the ranking. Experiments conducted on both the Million Song Dataset (MSD) and a subset of the Second Hand Songs (SHS) dataset showed the effectiveness of the proposed solution, which provides state-of-the-art results.

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Introduction Overview, R.R. Hoffman and A.B. Markman Angels of Regard: Psychology Meets Technology in the Perception and Interpretation of Non-literal Imagery, R.R. Hoffman and A.B. Markman The Communication of Topographic Perspectives and Forms Human Factors in the Interpretation of Physiology by Symbolic and Numerical Representations within an Expert System, D.P. Argialas and G. Ch. Miliaresis Scenes into Numbers: Facing the Subjective in Landform Quantification, R.J. Pike Seeing the Invisible On the Psychophysics of Night Vision Goggles, W.R. Uttal and R.W. Gibb Human Perception of Sensor-Fused Imagery, E.A. Essock Seeing the Dynamics Components of Expertise in the Perception and Interpretation of Meteorlogical Charts, R.L. Lowe The Role of Remote Sensing Displays in Planetary Atmospheric Research, A.D. Del Genio The Skilled Interpretation of Weather Satellite Images: Learning to See Patterns and Not Just Cues, H.M. Mogil


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Question: A horizontal fragmentation algorithm for the fact relation in a distributed data warehouse

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Data warehousing is one of the major research topics of appliedside database investigators. Most of the work to date has focused on building large centralized systems that are integrated repositories founded on pre-existing systems upon which all corporate-wide data are based. Unfortunately, this approach is very expensive and tends to ignore the advantages realized during the past decade in the area of distribution and support for data localization in a geographically dispersed corporate structure. This research investigates building distributed data warehouses with particular emphasis placed on distribution design for the data warehouse environment. The article provides an architectural model for a distributed data warehouse, the formal definition of the relational data model for data warehouse and a methodology for distributed data warehouse design along with a “horizontal” fragmentation algorithm for the fact relation.

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Proceedings of the September 2000 meeting. Forty-eight contributions and a keynote speech discuss various aspects of formalism; querying objects, web; applications; untangling the web; dealing with time; data marts and warehouses; XML and DB; concurrency and access; multimedia access; and distribute


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Question: Recruitment Framework for Participatory Sensing Data Collections

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Mobile phones have evolved from devices that are just used for voice and text communication to platforms that are able to capture and transmit a range of data types (image, audio, and location). The adoption of these increasingly capable devices by society has enabled a potentially pervasive sensing paradigm - participatory sensing. A coordinated participatory sensing system engages individuals carrying mobile phones to explore phenomena of interest using in situ data collection. For participatory sensing to succeed, several technical challenges need to be solved. In this paper, we discuss one particular issue: developing a recruitment framework to enable organizers to identify well-suited participants for data collections based on geographic and temporal availability as well as participation habits. This recruitment system is evaluated through a series of pilot data collections where volunteers explored sustainable processes on a university campus.

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This presentation was part of the session : Partnerships to Enhance Continuing Engineering Education Curriculum and Quality


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Question: Hierarchical committee of deep convolutional neural networks for robust facial expression recognition

This paper describes our approach towards robust facial expression recognition (FER) for the third Emotion Recognition in the Wild (EmotiW2015) challenge. We train multiple deep convolutional neural networks (deep CNNs) as committee members and combine their decisions. To improve this committee of deep CNNs, we present two strategies: (1) in order to obtain diverse decisions from deep CNNs, we vary network architecture, input normalization, and random weight initialization in training these deep models, and (2) in order to form a better committee in structural and decisional aspects, we construct a hierarchical architecture of the committee with exponentially-weighted decision fusion. In solving a seven-class problem of static FER in the wild for the EmotiW2015, we achieve a test accuracy of 61.6 %. Moreover, on other public FER databases, our hierarchical committee of deep CNNs yields superior performance, outperforming or competing with state-of-the-art results for these databases.

The growing popularity of tablet PCs and intelligent pen-centric computing have increased the importance of freehand sketch recognition algorithms. This paper shall investigate the use of information fusion technique with Support Vector Machines (SVMs) chain for modeling and understanding the spatial and temporal information of sketch sequences. The approach for sketch recognition lies in the proposed dynamic and probabilistic framework based on combining SVMs-chain by the spatial and geometric features for systematically modeling the dynamic and stochastic behaviors of sketch.