id
stringlengths
9
16
submitter
stringlengths
2
64
authors
stringlengths
4
23.3k
title
stringlengths
3
294
comments
stringlengths
1
627
journal-ref
stringlengths
4
349
doi
stringlengths
12
145
report-no
stringlengths
2
341
categories
stringlengths
5
125
license
stringclasses
9 values
abstract
stringlengths
21
3.66k
versions
stringlengths
62
5.08k
update_date
stringlengths
10
10
authors_parsed
stringlengths
18
30.8k
1311.0388
Tapomayukh Bhattacharjee
Tapomayukh Bhattacharjee, Yonghwan Oh, and Sang-Rok Oh
Non-linear Task-Space Disturbance Observer for Position Regulation of Redundant Robot Arms against Perturbations in 3D Environments
This paper summarizes our work on the formulation of a Non-linear Task-Space Disturbance Observer for Redundant Robot Arms. This work was done at the Interaction and Robotics Research Center in Korea Institute of Science and Technology (KIST), South-Korea during 2010-2011
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Many day-to-day activities require the dexterous manipulation of a redundant humanoid arm in complex 3D environments. However, position regulation of such robot arm systems becomes very difficult in presence of non-linear uncertainties in the system. Also, perturbations exist due to various unwanted interactions with obstacles for clumsy environments in which obstacle avoidance is not possible, and this makes position regulation even more difficult. This report proposes a non-linear task-space disturbance observer by virtue of which position regulation of such robotic systems can be achieved in spite of such perturbations and uncertainties. Simulations are conducted using a 7-DOF redundant robot arm system to show the effectiveness of the proposed method. These results are then compared with the case of a conventional mass-damper based task-space disturbance observer to show the enhancement in performance using the developed concept. This proposed method is then applied to a controller which exhibits human-like motion characteristics for reaching a target. Arbitrary perturbations in the form of interactions with obstacles are introduced in its path. Results show that the robot end-effector successfully continues to move in its path of a human-like quasi-straight trajectory even if the joint trajectories deviated by a considerable amount due to the perturbations. These results are also compared with that of the unperturbed motion of the robot which further prove the significance of the developed scheme.
[{'version': 'v1', 'created': 'Sat, 2 Nov 2013 16:24:22 GMT'}]
2013-11-05
[['Bhattacharjee', 'Tapomayukh', ''], ['Oh', 'Yonghwan', ''], ['Oh', 'Sang-Rok', '']]
1604.00764
Prabath Abeysiriwardana
P. C. Abeysiriwardana, S. R. Kodituwakku
Evaluation of the use of web technology by government of Sri Lanka to ensure food security for its citizens
International Conference of Sabaragamuwa University of Sri Lanka 2015 (ICSUSL 2015)
Procedia Food Science,Volume 6, 2016, Pages 82_91, International Conference of Sabaragamuwa University of Sri Lanka 2015 (ICSUSL 2015)
10.1016/j.profoo.2016.02.018
null
cs.CY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Web technology is one of the key areas in information and communication technology to be used as a powerful tool in ensuring food security which is one of the main issues in Sri Lanka. Web technology involves in communicating and sharing resources in network of computers all over the world. Main focus of food security is to ensure that all people have fair access to sufficient and quality food without endangering the future supply of the same food. In this context, web sites play a vital and major role in achieving food security in Sri Lanka. In this case study, websites pertaining to Sri Lankan government and link with food security were analyzed to find out their impact in achieving the goals of food security using web technologies and how they are being involved in ensuring food security in Sri Lanka. The other objective of this study is to make the Sri Lankan government aware of present situation of those websites in addressing food security related issues and how modern web technologies could be effectively and efficiently used to address those issues. So, the relevant websites were checked against several criteria and scores were used to assess their capabilities to address the concerns of food security. It was found that the amount of emphasis given by these websites to address the issues of food security is not satisfactory. Further, it showed that if these web sites could be improved further, they would generate a powerful impact on ensuring food security in Sri Lanka.
[{'version': 'v1', 'created': 'Mon, 4 Apr 2016 07:42:31 GMT'}]
2016-04-05
[['Abeysiriwardana', 'P. C.', ''], ['Kodituwakku', 'S. R.', '']]
2012.02620
Mojtaba Forghani
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler Hesser, Peter K. Kitanidis, and Eric F. Darve
Application of deep learning to large scale riverine flow velocity estimation
null
null
null
null
cs.LG
http://creativecommons.org/licenses/by/4.0/
Fast and reliable prediction of riverine flow velocities is important in many applications, including flood risk management. The shallow water equations (SWEs) are commonly used for prediction of the flow velocities. However, accurate and fast prediction with standard SWE solvers is challenging in many cases. Traditional approaches are computationally expensive and require high-resolution riverbed profile measurement ( bathymetry) for accurate predictions. As a result, they are a poor fit in situations where they need to be evaluated repetitively due, for example, to varying boundary condition (BC), or when the bathymetry is not known with certainty. In this work, we propose a two-stage process that tackles these issues. First, using the principal component geostatistical approach (PCGA) we estimate the probability density function of the bathymetry from flow velocity measurements, and then we use multiple machine learning algorithms to obtain a fast solver of the SWEs, given augmented realizations from the posterior bathymetry distribution and the prescribed range of BCs. The first step allows us to predict flow velocities without direct measurement of the bathymetry. Furthermore, the augmentation of the distribution in the second stage allows incorporation of the additional bathymetry information into the flow velocity prediction for improved accuracy and generalization, even if the bathymetry changes over time. Here, we use three solvers, referred to as PCA-DNN (principal component analysis-deep neural network), SE (supervised encoder), and SVE (supervised variational encoder), and validate them on a reach of the Savannah river near Augusta, GA. Our results show that the fast solvers are capable of predicting flow velocities with good accuracy, at a computational cost that is significantly lower than the cost of solving the full boundary value problem with traditional methods.
[{'version': 'v1', 'created': 'Fri, 4 Dec 2020 14:26:33 GMT'}]
2020-12-07
[['Forghani', 'Mojtaba', ''], ['Qian', 'Yizhou', ''], ['Lee', 'Jonghyun', ''], ['Farthing', 'Matthew W.', ''], ['Hesser', 'Tyler', ''], ['Kitanidis', 'Peter K.', ''], ['Darve', 'Eric F.', '']]
1808.09403
Francesco Evangelista
Jeffrey B. Schriber, Kevin P. Hannon, Francesco A. Evangelista
A Combined Selected Configuration Interaction and Many-Body Treatment of Static and Dynamical Correlation in Oligoacenes
null
null
null
null
physics.chem-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have combined our adaptive configuration interaction (ACI) [J.B. Schriber and F.A. Evangelista, J. Chem. Phys. 144, 161106 (2016)] with a density-fitted implementation of the second-order perturbative multireference driven similarity renormalization group (DSRG-MRPT2) [K.P. Hannon, C. Li and F.A. Evangelista J. Chem. Phys. 144, 204111 (2016)]. We use ACI reference wave functions to recover static correlation for active spaces larger than the conventional limit of 18 orbitals. The dynamical correlation is computed using the DSRG-MRPT2 to yield a complete treatment of electron correlation. We apply the resulting method, ACI-DSRG-MRPT2, to predict singlet-triplet gaps, metrics of open-shell character, and spin-spin correlation functions for the oligoacene series (2-7 rings). Our computations employ active spaces with as many as 30 electrons in 30 orbitals and up to 1350 basis functions, yielding gaps that are in good agreement with available experimental results. Large bases and reference relaxation lead to a significant reduction in the estimated radical character of the oligoacenes with respect to previous valence-only treatments of correlation effects.
[{'version': 'v1', 'created': 'Tue, 28 Aug 2018 16:49:44 GMT'}]
2018-08-29
[['Schriber', 'Jeffrey B.', ''], ['Hannon', 'Kevin P.', ''], ['Evangelista', 'Francesco A.', '']]
2102.08592
Dmitriy Anistratov
Joseph M. Coale, Dmitriy Y. Anistratov
Reduced-Order Models for Thermal Radiative Transfer Based on POD-Galerkin Method and Low-Order Quasidiffusion Equations
null
null
null
null
math.NA cs.NA physics.comp-ph
http://creativecommons.org/licenses/by/4.0/
This paper presents a new technique for developing reduced-order models (ROMs) for nonlinear radiative transfer problems in high-energy density physics. The proper orthogonal decomposition (POD) of photon intensities is applied to obtain global basis functions for the Galerkin projection (POD-Galerkin) of the time-dependent multigroup Boltzmann transport equation (BTE) for photons. The POD-Galerkin solution of the BTE is used to determine the quasidiffusion (Eddington) factors that yield closures for the nonlinear system of (i) multilevel low-order quasidiffusion (VEF) equations and (ii) material energy balance equation. Numerical results are presented to demonstrate accuracy of the ROMs obtained with different low-rank approximations of intensities.
[{'version': 'v1', 'created': 'Wed, 17 Feb 2021 05:58:55 GMT'}]
2021-02-18
[['Coale', 'Joseph M.', ''], ['Anistratov', 'Dmitriy Y.', '']]
2203.11265
Paolo Pistone
Melissa Antonelli, Ugo Dal Lago, Paolo Pistone
Curry and Howard Meet Borel
null
null
null
null
cs.LO math.LO
http://creativecommons.org/licenses/by/4.0/
We show that an intuitionistic version of counting propositional logic corresponds, in the sense of Curry and Howard, to an expressive type system for the probabilistic event lambda-calculus, a vehicle calculus in which both call-by-name and call-by-value evaluation of discrete randomized functional programs can be simulated. Remarkably, proofs (respectively, types) do not only guarantee that validity (respectively, termination) holds, but also reveal the underlying probability. We finally show that by endowing the type system with an intersection operator, one obtains a system precisely capturing the probabilistic behavior of lambda-terms.
[{'version': 'v1', 'created': 'Mon, 21 Mar 2022 18:48:49 GMT'}]
2022-03-23
[['Antonelli', 'Melissa', ''], ['Lago', 'Ugo Dal', ''], ['Pistone', 'Paolo', '']]
1606.06524
Zhongwen Wu
Z. W. Wu, A. V. Volotka, A. Surzhykov, C. Z. Dong, and S. Fritzsche
Level sequence and splitting identification of closely-spaced energy levels by angle-resolved analysis of the fluorescence light
9 pages, 7 figures
Physical Review A 93, 063413 (2016)
10.1103/PhysRevA.93.063413
null
physics.atom-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The angular distribution and linear polarization of the fluorescence light following the resonant photoexcitation is investigated within the framework of the density matrix and second-order perturbation theory. Emphasis has been placed on "signatures" for determining the level sequence and splitting of intermediate (partially) overlapping resonances, if analyzed as a function of the photon energy of the incident light. Detailed computations within the multiconfiguration Dirac-Fock method have been performed especially for the $1s^{2}2s^{2}2p^{6}3s\;\, J_{i}=1/2 \,+\, \gamma_{1} \:\rightarrow\: (1s^{2}2s2p^{6}3s)_{1}3p_{3/2}\;\, J=1/2, \, 3/2 \:\rightarrow\: 1s^{2}2s^{2}2p^{6}3s\;\, J_{f}=1/2 \,+\, \gamma_{2}$ photoexcitation and subsequent fluorescence emission of atomic sodium. A remarkably strong dependence of the angular distribution and linear polarization of the $\gamma_{2}$ fluorescence emission is found upon the level sequence and splitting of the intermediate $(1s^{2}2s2p^{6}3s)_{1}3p_{3/2}\;\, J=1/2, \, 3/2$ overlapping resonances owing to their finite lifetime (linewidth). We therefore suggest that accurate measurements of the angular distribution and linear polarization might help identify the sequence and small splittings of closely-spaced energy levels, even if they can not be spectroscopically resolved.
[{'version': 'v1', 'created': 'Tue, 21 Jun 2016 11:44:40 GMT'}]
2016-06-22
[['Wu', 'Z. W.', ''], ['Volotka', 'A. V.', ''], ['Surzhykov', 'A.', ''], ['Dong', 'C. Z.', ''], ['Fritzsche', 'S.', '']]
1502.05263
Peter Gloor
Hanuma Teja Maddali, Peter A. Gloor, and Peter Margolis
Comparing Online Community Structure of Patients of Chronic Diseases
Proceedings of the 5th International Conference on Collaborative Innovation Networks COINs15, Tokyo, Japan March 12-14, 2015 (arXiv:1502.01142
null
null
coins15/2015/09
cs.SI physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we compare the social network structure of people talking about Crohn's disease, Cystic Fibrosis, and Type 1 diabetes on Facebook and Twitter. We find that the Crohn's community's contributors are most emotional on Facebook and Twitter and most negative on Twitter, while the T1D community's communication network structure is most cohesive.
[{'version': 'v1', 'created': 'Wed, 18 Feb 2015 15:04:51 GMT'}]
2015-02-19
[['Maddali', 'Hanuma Teja', ''], ['Gloor', 'Peter A.', ''], ['Margolis', 'Peter', '']]
1805.01319
Simon Collet
Simon Collet (IRIF, CNRS, UPD7), Amos Korman (IRIF, CNRS, UPD7)
Intense Competition can Drive Selfish Explorers to Optimize Coverage
null
SPAA, Jul 2018, Vienna, Austria. 2018
null
null
cs.GT cs.DC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a game-theoretic setting in which selfish individuals compete over resources of varying quality. The motivating example is a group of animals that disperse over patches of food of different abundances. In such scenarios, individuals are biased towards selecting the higher quality patches, while, at the same time, aiming to avoid costly collisions or overlaps. Our goal is to investigate the impact of collision costs on the parallel coverage of resources by the whole group. Consider M sites, where a site x has value f(x). We think of f(x) as the reward associated with site x, and assume that if a single individual visits x exclusively, it receives this exact reward. Typically, we assume that if > 1 individuals visit x then each receives at most f(x). In particular, when competition costs are high, each individual might receive an amount strictly less than f(x), which could even be negative. Conversely, modeling cooperation at a site, we also consider cases where each one gets more than f(x). There are k identical players that compete over the rewards. They independently act in parallel, in a one-shot scenario, each specifying a single site to visit, without knowing which sites are explored by others. The group performance is evaluated by the expected coverage, defined as the sum of f(x) over all sites that are explored by at least one player. Since we assume that players cannot coordinate before choosing their site we focus on symmetric strategies. The main takeaway message of this paper is that the optimal symmetric coverage is expected to emerge when collision costs are relatively high, so that the following "Judgment of Solomon" type of rule holds: If a single player explores a site x then it gains its full reward f(x), but if several players explore it, then neither one receives any reward. Under this policy, it turns out that there exists a unique symmetric Nash Equilibrium strategy, which is, in fact, evolutionary stable. Moreover, this strategy yields the best possible coverage among all symmetric strategies. Viewing the coverage measure as the social welfare, this policy thus enjoys a (Symmetric) Price of Anarchy of precisely 1, whereas, in fact, any other congestion policy has a price strictly greater than 1. Our model falls within the scope of mechanism design, and more precisely in the area of incentivizing exploration. It finds relevance in evolutionary ecology, and further connects to studies on Bayesian parallel search algorithms.
[{'version': 'v1', 'created': 'Thu, 3 May 2018 14:18:11 GMT'}]
2018-05-04
[['Collet', 'Simon', '', 'IRIF, CNRS, UPD7'], ['Korman', 'Amos', '', 'IRIF, CNRS, UPD7']]
2109.00899
Xuan Li
Xuan Li, Liqiong Chang, Xue Liu
CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication
null
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Attributed to the ever-increasing large image datasets, Convolutional Neural Networks (CNNs) have become popular for vision-based tasks. It is generally admirable to have larger-sized datasets for higher network training accuracies. However, the impact of dataset quality has not to be involved. It is reasonable to assume the near-duplicate images exist in the datasets. For instance, the Street View House Numbers (SVHN) dataset having cropped house plate digits from 0 to 9 are likely to have repetitive digits from the same/similar house plates. Redundant images may take up a certain portion of the dataset without consciousness. While contributing little to no accuracy improvement for the CNNs training, these duplicated images unnecessarily pose extra resource and computation consumption. To this end, this paper proposes a framework to assess the impact of the near-duplicate images on CNN training performance, called CE-Dedup. Specifically, CE-Dedup associates a hashing-based image deduplication approach with downstream CNNs-based image classification tasks. CE-Dedup balances the tradeoff between a large deduplication ratio and a stable accuracy by adjusting the deduplication threshold. The effectiveness of CE-Dedup is validated through extensive experiments on well-known CNN benchmarks. On one hand, while maintaining the same validation accuracy, CE-Dedup can reduce the dataset size by 23%. On the other hand, when allowing a small validation accuracy drop (by 5%), CE-Dedup can trim the dataset size by 75%.
[{'version': 'v1', 'created': 'Mon, 23 Aug 2021 19:54:03 GMT'}]
2021-09-03
[['Li', 'Xuan', ''], ['Chang', 'Liqiong', ''], ['Liu', 'Xue', '']]
2206.04101
Zeyu Tang
Zeyu Tang, Jiji Zhang, Kun Zhang
What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective
null
null
null
null
cs.LG cs.CY
http://creativecommons.org/licenses/by/4.0/
Algorithmic fairness has attracted increasing attention in the machine learning community. Various definitions are proposed in the literature, but the differences and connections among them are not clearly addressed. In this paper, we review and reflect on various fairness notions previously proposed in machine learning literature, and make an attempt to draw connections to arguments in moral and political philosophy, especially theories of justice. We also consider fairness inquiries from a dynamic perspective, and further consider the long-term impact that is induced by current prediction and decision. In light of the differences in the characterized fairness, we present a flowchart that encompasses implicit assumptions and expected outcomes of different types of fairness inquiries on the data generating process, on the predicted outcome, and on the induced impact, respectively. This paper demonstrates the importance of matching the mission (which kind of fairness one would like to enforce) and the means (which spectrum of fairness analysis is of interest, what is the appropriate analyzing scheme) to fulfill the intended purpose.
[{'version': 'v1', 'created': 'Wed, 8 Jun 2022 18:05:46 GMT'}]
2022-06-10
[['Tang', 'Zeyu', ''], ['Zhang', 'Jiji', ''], ['Zhang', 'Kun', '']]
2111.14416
Servio Paguada M.Sc.
Servio Paguada, Lejla Batina, Ileana Buhan, Igor Armendariz
Being Patient and Persistent: Optimizing An Early Stopping Strategy for Deep Learning in Profiled Attacks
null
null
null
null
cs.CR cs.LG
http://creativecommons.org/licenses/by/4.0/
The absence of an algorithm that effectively monitors deep learning models used in side-channel attacks increases the difficulty of evaluation. If the attack is unsuccessful, the question is if we are dealing with a resistant implementation or a faulty model. We propose an early stopping algorithm that reliably recognizes the model's optimal state during training. The novelty of our solution is an efficient implementation of guessing entropy estimation. Additionally, we formalize two conditions, persistence and patience, for a deep learning model to be optimal. As a result, the model converges with fewer traces.
[{'version': 'v1', 'created': 'Mon, 29 Nov 2021 09:54:45 GMT'}]
2021-11-30
[['Paguada', 'Servio', ''], ['Batina', 'Lejla', ''], ['Buhan', 'Ileana', ''], ['Armendariz', 'Igor', '']]
1101.4203
Philippe Grenier
ATLAS 3D Collaboration: P. Grenier, G. Alimonti, M. Barbero, R. Bates, E. Bolle, M. Borri, M. Boscardin, C. Buttar, M. Capua, M. Cavalli-Sforza, M. Cobal, A. Cristofoli, G-F. Dalla Betta, G. Darbo, C. Da Vi\`a, E. Devetak, B. DeWilde, B. Di Girolamo, D. Dobos, K. Einsweiler, D. Esseni, S. Fazio, C. Fleta, J. Freestone, C. Gallrapp, M. Garcia-Sciveres, G. Gariano, C. Gemme, M-P. Giordani, H. Gjersdal, S. Grinstein, T. Hansen, T-E. Hansen, P. Hansson, J. Hasi, K. Helle, M. Hoeferkamp, F. H\"ugging, P. Jackson, K. Jakobs, J. Kalliopuska, M. Karagounis, C. Kenney, M. K\"ohler, M. Kocian, A. Kok, S. Kolya, I. Korokolov, V. Kostyukhin, H. Kr\"uger, A. La Rosa, C. H. Lai, N. Lietaer, M. Lozano, A. Mastroberardino, A. Micelli, C. Nellist, A. Oja, V. Oshea, C. Padilla, P. Palestri, S. Parker, U. Parzefall, J. Pater, G. Pellegrini, H. Pernegger, C. Piemonte, S. Pospisil, M. Povoli, S. Roe, O. Rohne, S. Ronchin, A. Rovani, E. Ruscino, H. Sandaker, S. Seidel, L. Selmi, D. Silverstein, K. Sj{\o}b{\ae}k, T. Slavicek, S. Stapnes, B. Stugu, J. Stupak, D. Su, G. Susinno, R. Thompson, J-W. Tsung, D. Tsybychev, S.J. Watts, N. Wermes, C. Young, N. Zorzi
Test Beam Results of 3D Silicon Pixel Sensors for the ATLAS upgrade
null
Nucl.Instrum.Meth.A638:33-40,2011
10.1016/j.nima.2011.01.181
null
physics.ins-det
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Results on beam tests of 3D silicon pixel sensors aimed at the ATLAS Insertable-B-Layer and High Luminosity LHC (HL-LHC)) upgrades are presented. Measurements include charge collection, tracking efficiency and charge sharing between pixel cells, as a function of track incident angle, and were performed with and without a 1.6 T magnetic field oriented as the ATLAS Inner Detector solenoid field. Sensors were bump bonded to the front-end chip currently used in the ATLAS pixel detector. Full 3D sensors, with electrodes penetrating through the entire wafer thickness and active edge, and double-sided 3D sensors with partially overlapping bias and read-out electrodes were tested and showed comparable performance.
[{'version': 'v1', 'created': 'Fri, 21 Jan 2011 18:42:10 GMT'}]
2016-08-14
[['ATLAS 3D Collaboration', '', ''], ['Grenier', 'P.', ''], ['Alimonti', 'G.', ''], ['Barbero', 'M.', ''], ['Bates', 'R.', ''], ['Bolle', 'E.', ''], ['Borri', 'M.', ''], ['Boscardin', 'M.', ''], ['Buttar', 'C.', ''], ['Capua', 'M.', ''], ['Cavalli-Sforza', 'M.', ''], ['Cobal', 'M.', ''], ['Cristofoli', 'A.', ''], ['Betta', 'G-F. Dalla', ''], ['Darbo', 'G.', ''], ['Da Vià', 'C.', ''], ['Devetak', 'E.', ''], ['DeWilde', 'B.', ''], ['Di Girolamo', 'B.', ''], ['Dobos', 'D.', ''], ['Einsweiler', 'K.', ''], ['Esseni', 'D.', ''], ['Fazio', 'S.', ''], ['Fleta', 'C.', ''], ['Freestone', 'J.', ''], ['Gallrapp', 'C.', ''], ['Garcia-Sciveres', 'M.', ''], ['Gariano', 'G.', ''], ['Gemme', 'C.', ''], ['Giordani', 'M-P.', ''], ['Gjersdal', 'H.', ''], ['Grinstein', 'S.', ''], ['Hansen', 'T.', ''], ['Hansen', 'T-E.', ''], ['Hansson', 'P.', ''], ['Hasi', 'J.', ''], ['Helle', 'K.', ''], ['Hoeferkamp', 'M.', ''], ['Hügging', 'F.', ''], ['Jackson', 'P.', ''], ['Jakobs', 'K.', ''], ['Kalliopuska', 'J.', ''], ['Karagounis', 'M.', ''], ['Kenney', 'C.', ''], ['Köhler', 'M.', ''], ['Kocian', 'M.', ''], ['Kok', 'A.', ''], ['Kolya', 'S.', ''], ['Korokolov', 'I.', ''], ['Kostyukhin', 'V.', ''], ['Krüger', 'H.', ''], ['La Rosa', 'A.', ''], ['Lai', 'C. H.', ''], ['Lietaer', 'N.', ''], ['Lozano', 'M.', ''], ['Mastroberardino', 'A.', ''], ['Micelli', 'A.', ''], ['Nellist', 'C.', ''], ['Oja', 'A.', ''], ['Oshea', 'V.', ''], ['Padilla', 'C.', ''], ['Palestri', 'P.', ''], ['Parker', 'S.', ''], ['Parzefall', 'U.', ''], ['Pater', 'J.', ''], ['Pellegrini', 'G.', ''], ['Pernegger', 'H.', ''], ['Piemonte', 'C.', ''], ['Pospisil', 'S.', ''], ['Povoli', 'M.', ''], ['Roe', 'S.', ''], ['Rohne', 'O.', ''], ['Ronchin', 'S.', ''], ['Rovani', 'A.', ''], ['Ruscino', 'E.', ''], ['Sandaker', 'H.', ''], ['Seidel', 'S.', ''], ['Selmi', 'L.', ''], ['Silverstein', 'D.', ''], ['Sjøbæk', 'K.', ''], ['Slavicek', 'T.', ''], ['Stapnes', 'S.', ''], ['Stugu', 'B.', ''], ['Stupak', 'J.', ''], ['Su', 'D.', ''], ['Susinno', 'G.', ''], ['Thompson', 'R.', ''], ['Tsung', 'J-W.', ''], ['Tsybychev', 'D.', ''], ['Watts', 'S. J.', ''], ['Wermes', 'N.', ''], ['Young', 'C.', ''], ['Zorzi', 'N.', '']]
2009.02325
Timoteo Carletti
Timoteo Carletti and Duccio Fanelli and Alessio Guarino
How to fairly share a watermelon
corrected version
null
10.1088/1361-6552/abc4dc
null
physics.ed-ph physics.pop-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Geometry, calculus and in particular integrals, are too often seen by young students as technical tools with no link to the reality. This fact generates into the students a loss of interest with a consequent removal of motivation in the study of such topics and more widely in pursuing scientific curricula. With this note we put to the fore a simple example of practical interest where the above concepts prove central; our aim is thus to motivate students and to reverse the dropout trend by proposing an introduction to the theory starting from practical applications. More precisely, we will show how using a mixture of geometry, calculus and integrals one can easily share a watermelon into regular slices with equal volume.
[{'version': 'v1', 'created': 'Mon, 7 Sep 2020 09:56:16 GMT'}, {'version': 'v2', 'created': 'Wed, 30 Sep 2020 21:46:01 GMT'}]
2020-12-30
[['Carletti', 'Timoteo', ''], ['Fanelli', 'Duccio', ''], ['Guarino', 'Alessio', '']]
1807.00198
Sathish Natarajan
Jitendar K Tiwari, Ajay Mandal, N Sathish, Venkat A N Ch, A K Srivastava
Graphene platelets reinforced aluminum matrix composite with enhanced strength by hot accumulative roll bonding
23 pages, 7 figures, Full article
null
null
null
physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Accumulative Roll Bonding(ARB) process was used to develop few-layer graphene nano platelets reinforced aluminum matrix (GNPs/Al) composite in the form of sheets. Annealed Al sheets were ARB processed up to 6 pass along with coating of graphene between stacked sheets in first and second pass. Another set was prepared with same process parameter in the absence of graphene coating. Properties of these two set of samples were analyzed on the basis of film theory of ARB process which enables micro-level mixing of material on stacked layer interface. Hence the problem of graphene agglomeration was overcome through our process. The Raman spectra at the cross-section was taken which not only show the strong interaction of GNPs with Al matrix due to increased D and D' band but also the graphene quality enhancement on the basis of single symmetric 2D band. Samples were then subjected to universal testing machine (UTM) and Vickers microhardness tester. Results showed up to ~73% increment in yield strength and ~27% increment in hardness of GNPs/Al matrix composite. Fracture surface of tensile specimen was further examined under SEM to understand the fracture mechanics at higher passes, which elucidate elongation variation and delamination behavior of stacked sheets. Deep elongated dimples with the smoothed surface in GNPs/Al composite are the cause of reduced elongation. But the final composite was having improved strength with appreciable ductility. The improvement was further justified by increment in dislocations, calculated using Williamson-Hall plot on X-ray diffraction (XRD) data. All results signify the effectiveness of the proposed technique for the development of GNPs/Al composite.
[{'version': 'v1', 'created': 'Sat, 30 Jun 2018 16:36:44 GMT'}]
2018-07-03
[['Tiwari', 'Jitendar K', ''], ['Mandal', 'Ajay', ''], ['Sathish', 'N', ''], ['Ch', 'Venkat A N', ''], ['Srivastava', 'A K', '']]
1706.08100
Fabio Patrizi
Ronen Brafman, Giuseppe De Giacomo, Fabio Patrizi
Specifying Non-Markovian Rewards in MDPs Using LDL on Finite Traces (Preliminary Version)
null
null
null
null
cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In Markov Decision Processes (MDPs), the reward obtained in a state depends on the properties of the last state and action. This state dependency makes it difficult to reward more interesting long-term behaviors, such as always closing a door after it has been opened, or providing coffee only following a request. Extending MDPs to handle such non-Markovian reward function was the subject of two previous lines of work, both using variants of LTL to specify the reward function and then compiling the new model back into a Markovian model. Building upon recent progress in the theories of temporal logics over finite traces, we adopt LDLf for specifying non-Markovian rewards and provide an elegant automata construction for building a Markovian model, which extends that of previous work and offers strong minimality and compositionality guarantees.
[{'version': 'v1', 'created': 'Sun, 25 Jun 2017 13:37:00 GMT'}]
2017-06-27
[['Brafman', 'Ronen', ''], ['De Giacomo', 'Giuseppe', ''], ['Patrizi', 'Fabio', '']]
1807.02851
Francisco Barranco
Francisco Barranco, Cornelia Fermuller, Eduardo Ros
Real-time clustering and multi-target tracking using event-based sensors
Conference paper. Accepted for IROS 2018
null
null
null
cs.RO cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Clustering is crucial for many computer vision applications such as robust tracking, object detection and segmentation. This work presents a real-time clustering technique that takes advantage of the unique properties of event-based vision sensors. Since event-based sensors trigger events only when the intensity changes, the data is sparse, with low redundancy. Thus, our approach redefines the well-known mean-shift clustering method using asynchronous events instead of conventional frames. The potential of our approach is demonstrated in a multi-target tracking application using Kalman filters to smooth the trajectories. We evaluated our method on an existing dataset with patterns of different shapes and speeds, and a new dataset that we collected. The sensor was attached to the Baxter robot in an eye-in-hand setup monitoring real-world objects in an action manipulation task. Clustering accuracy achieved an F-measure of 0.95, reducing the computational cost by 88% compared to the frame-based method. The average error for tracking was 2.5 pixels and the clustering achieved a consistent number of clusters along time.
[{'version': 'v1', 'created': 'Sun, 8 Jul 2018 16:43:32 GMT'}]
2018-07-11
[['Barranco', 'Francisco', ''], ['Fermuller', 'Cornelia', ''], ['Ros', 'Eduardo', '']]
2010.02417
Ankit Pal
Ankit Pal, Malaikannan Sankarasubbu
Pay Attention to the cough: Early Diagnosis of COVID-19 using Interpretable Symptoms Embeddings with Cough Sound Signal Processing
Preprint Version
null
null
null
cs.LG cs.SD eess.AS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
COVID-19 (coronavirus disease 2019) pandemic caused by SARS-CoV-2 has led to a treacherous and devastating catastrophe for humanity. At the time of writing, no specific antivirus drugs or vaccines are recommended to control infection transmission and spread. The current diagnosis of COVID-19 is done by Reverse-Transcription Polymer Chain Reaction (RT-PCR) testing. However, this method is expensive, time-consuming, and not easily available in straitened regions. An interpretable and COVID-19 diagnosis AI framework is devised and developed based on the cough sounds features and symptoms metadata to overcome these limitations. The proposed framework's performance was evaluated using a medical dataset containing Symptoms and Demographic data of 30000 audio segments, 328 cough sounds from 150 patients with four cough classes ( COVID-19, Asthma, Bronchitis, and Healthy). Experiments' results show that the model captures the better and robust feature embedding to distinguish between COVID-19 patient coughs and several types of non-COVID-19 coughs with higher specificity and accuracy of 95.04 $\pm$ 0.18% and 96.83$\pm$ 0.18% respectively, all the while maintaining interpretability.
[{'version': 'v1', 'created': 'Tue, 6 Oct 2020 01:22:50 GMT'}, {'version': 'v2', 'created': 'Mon, 12 Oct 2020 01:41:31 GMT'}]
2020-10-13
[['Pal', 'Ankit', ''], ['Sankarasubbu', 'Malaikannan', '']]
1912.09571
Samuel Alexander
Samuel Allen Alexander
Measuring the intelligence of an idealized mechanical knowing agent
17 pages, CIFMA 2019
null
null
null
cs.AI cs.LO math.LO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We define a notion of the intelligence level of an idealized mechanical knowing agent. This is motivated by efforts within artificial intelligence research to define real-number intelligence levels of complicated intelligent systems. Our agents are more idealized, which allows us to define a much simpler measure of intelligence level for them. In short, we define the intelligence level of a mechanical knowing agent to be the supremum of the computable ordinals that have codes the agent knows to be codes of computable ordinals. We prove that if one agent knows certain things about another agent, then the former necessarily has a higher intelligence level than the latter. This allows our intelligence notion to serve as a stepping stone to obtain results which, by themselves, are not stated in terms of our intelligence notion (results of potential interest even to readers totally skeptical that our notion correctly captures intelligence). As an application, we argue that these results comprise evidence against the possibility of intelligence explosion (that is, the notion that sufficiently intelligent machines will eventually be capable of designing even more intelligent machines, which can then design even more intelligent machines, and so on).
[{'version': 'v1', 'created': 'Tue, 3 Dec 2019 02:03:00 GMT'}]
2019-12-23
[['Alexander', 'Samuel Allen', '']]
1711.07277
Mudasar Bacha
Mudasar Bacha and Bruno Clerckx
Backscatter Communications for the Internet of Things: A Stochastic Geometry Approach
This work has been submitted for a possible journal publication
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by the recent advances in the Internet of Things (IoT) and in Wireless Power Transfer (WPT), we study a network architecture that consists of power beacons (PBs) and passive backscatter nodes (BNs). The PBs transmit a sinusoidal continuous wave (CW) and the BNs reflect back a portion of this signal while harvesting the remaining part. A BN harvests energy from multiple nearby PBs and modulates its information bits on the composite CW through backscatter modulation. The analysis poses real challenges due to the double fading channel, and its dependence on the PPPs of both the BNs and PBs. However, with the help of stochastic geometry, we derive the coverage probability and the capacity of the network in tractable and easily computable expressions, which depend on different system parameters. We observe that the coverage probability decreases with an increase in the density of the BNs, while the capacity of the network improves. We further compare the performance of this network with a regular powered network in which the BNs have a reliable power source and show that for a very high density of the PBs, the coverage probability of the former network approaches that of the regular powered network.
[{'version': 'v1', 'created': 'Mon, 20 Nov 2017 12:12:45 GMT'}, {'version': 'v2', 'created': 'Tue, 17 Apr 2018 10:56:09 GMT'}]
2018-04-18
[['Bacha', 'Mudasar', ''], ['Clerckx', 'Bruno', '']]
1306.5845
Alexandr V. Kobelev
A.A. Bedulina, and A.V. Kobelev
Nonmonotonic Relaxation as a Result of Spatial Heterogeneity in the Model of In-series Blocks Chain
24 pages, 19 figures, 26 citations
null
null
null
nlin.AO cond-mat.soft physics.bio-ph physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently the materials possessing structure of molecular and supramolecular matrix are more and more actively studied. They are relative to many polymeric materials of a technological origin, such as rubber, and living biological tissues. Processes of mechanical deformation of these continuous media have peculiarities connected, first, with accounting for internal friction and dissipation of energy, and secondly, with nonlinearity of their elastic and viscous properties, that is with violation of Hook and Newtons laws. Traditional approaches to mechanics of viscoelastic bodies sometimes are excessively difficult, and more evident and available representations are necessary. The invaluable role in studying of the operating processes mechanisms of elastic deformation and motility of biological materials is played by the mathematical modeling. New effect obtained by means of computer experiment of nonmonotonic relaxation of deformation in heterogeneous media is considered in the present work. Rheological properties of described media are governed by the differential equations of the first order on time (the evolution equations), as well as a huge variety of other physical processes. The physical phenomena in nonlinear systems with dissipation have a big community, including such it would seem far areas, as dynamics of magnetization in ferrite. Therefore the problem of studying new effects of viscous friction in the conditions of nonlinearity and heterogeneity, is very actual as in respect of fundamental research nonlinear and non-uniform environments, and in many areas of materials science, design of new materials, engineering of biological substitutes of living tissues and development of the micromagnetic devices using essentially new opportunities.
[{'version': 'v1', 'created': 'Tue, 25 Jun 2013 05:04:23 GMT'}, {'version': 'v2', 'created': 'Wed, 26 Jun 2013 10:02:34 GMT'}]
2013-06-27
[['Bedulina', 'A. A.', ''], ['Kobelev', 'A. V.', '']]
2104.10963
Yudong Lu
Yudong Lu, Yi Xu, Xu Ouyang, Mingcong Xian, Yaoyu Cao, Kai Chen, and Xiangping Li
Cylindrical vector beams reveal radiationless anapole condition in a resonant state
11 pages, 5figures
Opto-Electron Adv 5, 210014 (2022)
10.29026/oea.2022.210014
null
physics.optics
http://creativecommons.org/licenses/by/4.0/
Nonscattering optical anapole condition is corresponding to the excitation of radiationless field distributions in open resonators, which offers new degrees of freedom for tailoring light-matter interaction. Conventional mechanisms for achieving such a condition relies on sophisticated manipulation of electromagnetic multipolar moments of all orders to guarantee superpositions of vanished moment strengths at the same wavelength. In contrast, here we report on the excitation of optical radiationless anapole hidden in a resonant state of a Si nanoparticle utilizing tightly focused radially polarized (RP) beam. The coexistence of magnetic resonant state and anapole condition at the same wavelength further enables the triggering of resonant state by tightly focused azimuthally polarized (AP) beam whose corresponding electric multipole coefficient could be zero. As a result, high contrast inter-transition between radiationless anapole condition and ideal magnetic resonant scattering can be achieved experimentally in visible spectrum. The proposed mechanism is general which can be realized in different types of nanostructures. Our results showcase that the unique combination of structured light and structured Mie resonances could provide new degrees of freedom for tailoring light-matter interaction, which might shed new light on functional meta-optics.
[{'version': 'v1', 'created': 'Thu, 22 Apr 2021 09:47:34 GMT'}]
2022-08-11
[['Lu', 'Yudong', ''], ['Xu', 'Yi', ''], ['Ouyang', 'Xu', ''], ['Xian', 'Mingcong', ''], ['Cao', 'Yaoyu', ''], ['Chen', 'Kai', ''], ['Li', 'Xiangping', '']]
2208.04691
Ricardo Gallego Torrom\'e
Ricardo Gallego Torrom\'e
Enhancement in the mean square range delay accuracy by means of multiple entangled photon states quantum illumination
5 pages, 1 figure; minor corrections
null
null
null
quant-ph physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently it has been discussed how quantum illumination can be used to increase the mean value range delay [1], that happens in the domain of SNR compatible with current radar systems. However, from side of practical applications, the advantage described in [1] requires of a large integration time. In this letter it is shown how multiple entangled photon quantum illumination helps to reduce the integration time when evaluating range delay. For easiness, the analysis is conveyed in the setting of three entangled photon states discrete quantum illumination models, but it is argued that our result can be extended to quantum illumination continuous protocols.
[{'version': 'v1', 'created': 'Sat, 30 Jul 2022 07:54:16 GMT'}, {'version': 'v2', 'created': 'Fri, 28 Oct 2022 14:25:11 GMT'}]
2022-10-31
[['Torromé', 'Ricardo Gallego', '']]
1308.1326
Thomas Akin
Sharon A. Kennedy, G. W. Biedermann, J. Tom Farrar, T. G. Akin, S. Krzyzewski, E. R. I. Abraham
Confinement of ultracold atoms in a Laguerre-Gaussian laser beam created with diffractive optics
null
null
10.1016/j.optcom.2014.01.084
null
physics.atom-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We report 2D confinement of Rb 87 atoms in a Laguerre-Gaussian laser beam. Changing of the sign of the detuning from the atomic resonance dramatically alters the geometry of the confinement. With the laser detuned to the blue, the atoms are confined to the dark, central node of the Laguerre-Gaussian laser mode. This trapping method leads to low ac Stark shifts to the atomic levels. Alternatively, by detuning the laser to the red of the resonance, we confine atoms to the high intensity outer ring in a multiply-connected, toroidal configuration. We model the confined atoms to determine azimuthal intensity variations of the trapping laser, caused by slight misalignments of the Laguerre-Gaussian mode generating optics.
[{'version': 'v1', 'created': 'Tue, 6 Aug 2013 16:13:50 GMT'}]
2014-09-12
[['Kennedy', 'Sharon A.', ''], ['Biedermann', 'G. W.', ''], ['Farrar', 'J. Tom', ''], ['Akin', 'T. G.', ''], ['Krzyzewski', 'S.', ''], ['Abraham', 'E. R. I.', '']]
1612.03062
Tilman Sauer
Tilman Sauer
A Look Back at the Ehrenfest Classification. Translation and Commentary of Ehrenfest's 1933 paper introducing the notion of phase transitions of different order
13pp
null
10.1140/epjst/e2016-60344-y
null
physics.hist-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A translation of Paul Ehrenfest's 1933 paper, entitled "Phase transitions in the usual and generalized sense, classified according to the singularities of the thermodynamic potential" is presented. Some historical commentary about the paper's context is also given.
[{'version': 'v1', 'created': 'Fri, 9 Dec 2016 15:37:35 GMT'}]
2017-04-26
[['Sauer', 'Tilman', '']]
2103.07977
Raveesh Garg
Raveesh Garg, Eric Qin, Francisco Mu\~noz-Mart\'inez, Robert Guirado, Akshay Jain, Sergi Abadal, Jos\'e L. Abell\'an, Manuel E. Acacio, Eduard Alarc\'on, Sivasankaran Rajamanickam, Tushar Krishna
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators
Accepted for publication at the 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2022)
null
null
null
cs.DC cs.AR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Graph Neural Networks (GNNs) have garnered a lot of recent interest because of their success in learning representations from graph-structured data across several critical applications in cloud and HPC. Owing to their unique compute and memory characteristics that come from an interplay between dense and sparse phases of computations, the emergence of reconfigurable dataflow (aka spatial) accelerators offers promise for acceleration by mapping optimized dataflows (i.e., computation order and parallelism) for both phases. The goal of this work is to characterize and understand the design-space of dataflow choices for running GNNs on spatial accelerators in order for mappers or design-space exploration tools to optimize the dataflow based on the workload. Specifically, we propose a taxonomy to describe all possible choices for mapping the dense and sparse phases of GNN inference, spatially and temporally over a spatial accelerator, capturing both the intra-phase dataflow and the inter-phase (pipelined) dataflow. Using this taxonomy, we do deep-dives into the cost and benefits of several dataflows and perform case studies on implications of hardware parameters for dataflows and value of flexibility to support pipelined execution.
[{'version': 'v1', 'created': 'Sun, 14 Mar 2021 17:14:13 GMT'}, {'version': 'v2', 'created': 'Fri, 24 Sep 2021 12:29:30 GMT'}, {'version': 'v3', 'created': 'Mon, 7 Mar 2022 01:17:27 GMT'}]
2022-03-08
[['Garg', 'Raveesh', ''], ['Qin', 'Eric', ''], ['Muñoz-Martínez', 'Francisco', ''], ['Guirado', 'Robert', ''], ['Jain', 'Akshay', ''], ['Abadal', 'Sergi', ''], ['Abellán', 'José L.', ''], ['Acacio', 'Manuel E.', ''], ['Alarcón', 'Eduard', ''], ['Rajamanickam', 'Sivasankaran', ''], ['Krishna', 'Tushar', '']]
2106.06395
Yuxing Bai
Xiaolei Hao, Yuxing Bai, Chan Li, Jingyu Zhang, Weidong Li, Weifeng Yang, MingQing Liu and Jing Chen
Recollision of excited electron in below-threshold nonsequential double ionization
null
null
null
null
physics.atom-ph physics.optics
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Consensus has been reached that recollision, as the most important post-tunneling process, is responsible for nonsequential double ionization process in intense infrared laser field, however, its effect has been restricted to interaction between the first ionized electron and the residual univalent ion so far. Here we identify the key role of recollision between the second ionized electron and the divalent ion in the below-threshold nonsequential double ionization process by introducing a Coulomb-corrected quantum-trajectories method, which enables us to well reproduce the experimentally observed cross-shaped and anti-correlated patterns in correlated two-electron momentum distributions, and also the transition between these two patterns. Being significantly enhanced relatively by the recapture process, recolliding trajectories of the second electron excited by the first- or third-return recolliding trajectories of the first electron produce the cross-shaped or anti-correlated distributions, respectively. And the transition is induced by the increasing contribution of the third return with increasing pulse duration. Our work provides new insight into atomic ionization dynamics and paves the new way to imaging of ultrafast dynamics of atoms and molecules in intense laser field.
[{'version': 'v1', 'created': 'Fri, 11 Jun 2021 13:53:52 GMT'}]
2021-06-14
[['Hao', 'Xiaolei', ''], ['Bai', 'Yuxing', ''], ['Li', 'Chan', ''], ['Zhang', 'Jingyu', ''], ['Li', 'Weidong', ''], ['Yang', 'Weifeng', ''], ['Liu', 'MingQing', ''], ['Chen', 'Jing', '']]
2012.00352
Kai Niklas Hansmann
Kai Niklas Hansmann and Reinhold Walser
Stochastic Simulation of Emission Spectra and Classical Photon Statistics of Quantum Dot Superluminescent Diodes
10 pages, 5 figures
Journal of Modern Physics, 12, 22-34 (2021)
10.4236/jmp.2021.121003
null
physics.optics
http://creativecommons.org/licenses/by/4.0/
We present a stochastic procedure to investigate the correlation spectra of quantum dot superluminescent diodes. The classical electric field of a diode is formed by a polychromatic superposition of many independent stochastic oscillators. Assuming fields with individual carrier frequencies, Lorentzian linewidths and amplitudes we can form any relevant experimental spectrum using a least square fit. This is illustrated for Gaussian and Lorentzian spectra, Voigt profiles and box shapes. Eventually, the procedure is applied to an experimental spectrum of a quantum dot superluminescent diode which determines the first- and second-order temporal correlation functions of the emission. We find good agreement with the experimental data and a quantized treatment. Thus, a stochastic field represents broadband light emitted by quantum dot superluminescent diodes.
[{'version': 'v1', 'created': 'Tue, 1 Dec 2020 09:27:54 GMT'}]
2021-01-19
[['Hansmann', 'Kai Niklas', ''], ['Walser', 'Reinhold', '']]
cond-mat/0406137
Andreea Munteanu
Ricard V. Sole and Andreea Munteanu
The large-scale organization of chemical reaction networks in astrophysics
7 pages, 3 figures; submitted to Europhysics Letters
null
10.1209/epl/i2004-10241-3
null
cond-mat.dis-nn physics.ao-ph
null
The large-scale organization of complex networks, both natural and artificial, has shown the existence of highly heterogeneous patterns of organization. Such patterns typically involve scale-free degree distributions and small world, modular architectures. One example is provided by chemical reaction networks, such as the metabolic pathways. The chemical reactions of the Earth's atmosphere have also been shown to give rise to a scale-free network. Here we present novel data analysis on the structure of several astrophysical networks including the chemistry of the planetary atmospheres and the interstellar medium. Our work reveals that Earth's atmosphere displays a hierarchical organization, close to the one observed in cellular webs. Instead, the other astrophysical reaction networks reveal a much simpler pattern consistent with an equilibrium state. The implications for large-scale regulation of the planetary dynamics are outlined.
[{'version': 'v1', 'created': 'Sat, 5 Jun 2004 15:52:40 GMT'}]
2009-11-10
[['Sole', 'Ricard V.', ''], ['Munteanu', 'Andreea', '']]
2005.02783
Johno van IJsseldijk
Johno van IJsseldijk and Kees Wapenaar
Adaptation of the iterative Marchenko scheme for imperfectly sampled data
arXiv admin note: text overlap with arXiv:2003.10802
Geophysical Journal International, Volume 224, Issue 1, January 2021, Pages 326 336
10.1093/gji/ggaa463
null
physics.geo-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The Marchenko method retrieves the responses to virtual sources in the Earth's subsurface from reflection data at the surface, accounting for all orders of multiple reflections. The method is based on two integral representations for focusing- and Green's functions. In discretized form, these integrals are represented by finite summations over the acquisition geometry. Consequently, the method requires ideal geometries of regularly sampled and co-located sources and receivers. Recently new representations were derived, which handle imperfectly sampled data. These new representations use point-spread functions (PSFs) that reconstruct results as if they were acquired using a perfect geometry. Here, the iterative Marchenko scheme is adapted, using these new representations, to account for imperfect sampling. This new methodology is tested on a 2D numerical example. The results show clear improvement between the proposed scheme and the standard iterative scheme. By removing the requirement for perfect geometries, the Marchenko method can be more widely applied to field data.
[{'version': 'v1', 'created': 'Wed, 22 Apr 2020 08:47:58 GMT'}, {'version': 'v2', 'created': 'Tue, 24 Nov 2020 08:45:35 GMT'}]
2020-11-25
[['van IJsseldijk', 'Johno', ''], ['Wapenaar', 'Kees', '']]
2205.01393
Zhicheng Zhang
Zhicheng Zhang, Sha Wang, and Jun Wang
Noise-like Pulses from an All-Normal-Dispersion Fiber Laser with Weakened Spectrum Filtering
The description in the text is not very appropriate and needs to be modified
null
null
null
physics.optics nlin.PS
http://creativecommons.org/licenses/by/4.0/
Noise-like pulses (NLP) are extremely sought after in many fields. Here, we experimentally and numerically investigated the generation of noise-like pulses in an all-normal-dispersion fiber laser with weak spectrum filtering. With the insertion of the grating as a tunable spectrum filter, the laser operates at a stable dissipative soliton state with a 3.84 ps duration. Replacing the grating with a mirror, NLPs with double-scale intensity autocorrelation trace is ultimately attained. Numerical simulations are performed in detail and demonstrated that with the absence of a spectrum filter, the stable state cannot be established but form the random pulse cluster. The random pulse cluster achieves dynamic stability with suitable feedback, and the NLP is ultimately generated. The NLP here is directly evolved by the initial noise, and no other states occur during its evolution. These explorations could deepen the understanding of NLP and enrich the complex dynamics of the ANDi ultrafast fiber laser.
[{'version': 'v1', 'created': 'Tue, 3 May 2022 09:49:51 GMT'}, {'version': 'v2', 'created': 'Mon, 30 May 2022 04:10:38 GMT'}]
2022-05-31
[['Zhang', 'Zhicheng', ''], ['Wang', 'Sha', ''], ['Wang', 'Jun', '']]
1107.3490
Michael Bachmann
Jonathan Gro{\ss}, Wolfhard Janke, and Michael Bachmann
Massively parallelized replica-exchange simulations of polymers on GPUs
8 pages, 9 figures, 2 tables
Comp. Phys. Commun. 182, 1638-1644 (2011)
10.1016/j.cpc.2011.04.012
null
physics.comp-ph cond-mat.stat-mech q-bio.BM
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We discuss the advantages of parallelization by multithreading on graphics processing units (GPUs) for parallel tempering Monte Carlo computer simulations of an exemplified bead-spring model for homopolymers. Since the sampling of a large ensemble of conformations is a prerequisite for the precise estimation of statistical quantities such as typical indicators for conformational transitions like the peak structure of the specific heat, the advantage of a strong increase in performance of Monte Carlo simulations cannot be overestimated. Employing multithreading and utilizing the massive power of the large number of cores on GPUs, being available in modern but standard graphics cards, we find a rapid increase in efficiency when porting parts of the code from the central processing unit (CPU) to the GPU.
[{'version': 'v1', 'created': 'Mon, 18 Jul 2011 16:10:52 GMT'}]
2015-05-28
[['Groß', 'Jonathan', ''], ['Janke', 'Wolfhard', ''], ['Bachmann', 'Michael', '']]
quant-ph/0412112
Fabian Brau
Mary Alberg, Michel Bawin and Fabian Brau
Renormalization of the singular attractive $1/r^4$ potential
8 pages
Phys. Rev. A 71, 022108 (2005)
10.1103/PhysRevA.71.022108
null
quant-ph math-ph math.MP physics.atm-clus
null
We study the radial Schr\"odinger equation for a particle of mass $m$ in the field of a singular attractive $g^2/{r^4}$ potential with particular emphasis on the bound states problem. Using the regularization method of Beane \textit{et al.}, we solve analytically the corresponding ``renormalization group flow" equation. We find in agreement with previous studies that its solution exhibits a limit cycle behavior and has infinitely many branches. We show that a continuous choice for the solution corresponds to a given fixed number of bound states and to low energy phase shifts that vary continuously with energy. We study in detail the connection between this regularization method and a conventional method modifying the short range part of the potential with an infinitely repulsive hard core. We show that both methods yield bound states results in close agreement even though the regularization method of Beane \textit{et al.} does not include explicitly any new scale in the problem. We further illustrate the use of the regularization method in the computation of electron bound states in the field of neutral polarizable molecules without dipole moment. We find the binding energy of s-wave polarization bound electrons in the field of C$_{60}$ molecules to be 17 meV for a scattering length corresponding to a hard core radius of the size of the molecule radius ($\sim 3.37$ \AA). This result can be further compared with recent two-parameter fits using the Lennard-Jones potential yielding binding energies ranging from 3 to 25 meV.
[{'version': 'v1', 'created': 'Tue, 14 Dec 2004 12:45:56 GMT'}]
2007-05-23
[['Alberg', 'Mary', ''], ['Bawin', 'Michel', ''], ['Brau', 'Fabian', '']]
1003.3743
Laurent Labonte
Laurent Labont\'e (LPMC), Vipul Rastogi, A. Kumar, Bernard Dussardier (LPMC), G\'erard Monnom (LPMC)
Birefringence analysis of multilayer leaky cladding optical fibre
18 pages
Journal of Optics (2010) J. Opt. 12 (2010) 065705 (4pp)
10.1088/2040-8978/12/6/065705
null
physics.optics
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We analyse a multilayer leaky cladding (MLC) fibre using the finite element method and study the effect of the MLC on the bending loss and birefringence of two types of structures: (i) a circular core large-mode-area structure and (ii) an elliptical-small-core structure. In a large-mode-area structure, we verify that the multilayer leaky cladding strongly discriminates against higher order modes to achieve single-mode operation, the fibre shows negligible birefringence, and the bending loss of the fibre is low for bending radii larger than 10 cm. In the elliptical-small-core structure we show that the MLC reduces the birefringence of the fibre. This prevents the structure from becoming birefringent in case of any departures from circular geometry. The study should be useful in the designs of MLC fibres for various applications including high power amplifiers, gain flattening of fibre amplifiers and dispersion compensation.
[{'version': 'v1', 'created': 'Fri, 19 Mar 2010 08:41:07 GMT'}, {'version': 'v2', 'created': 'Sat, 14 Aug 2010 20:22:22 GMT'}]
2015-05-18
[['Labonté', 'Laurent', '', 'LPMC'], ['Rastogi', 'Vipul', '', 'LPMC'], ['Kumar', 'A.', '', 'LPMC'], ['Dussardier', 'Bernard', '', 'LPMC'], ['Monnom', 'Gérard', '', 'LPMC']]
1909.09393
Ryoma Sin'ya
Ryoma Sin'ya
Simple proof of Parikh's theorem a la Takahashi
null
null
null
null
cs.FL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this report we describe a simple proof of Parikh's theorem a la Takahashi, based on a decomposition of derivation trees. The idea of decomposition is appeared in her master's thesis written in 1970.
[{'version': 'v1', 'created': 'Fri, 20 Sep 2019 09:50:37 GMT'}]
2019-09-23
[["Sin'ya", 'Ryoma', '']]
1005.5585
Miao Rongxin
Rong-Xin Miao, Rui Zheng and Miao Li
Metamaterials Mimicking Dynamic Spacetime, D-brane and Noncommutativity in String Theory
15 pages, 2 figures
Phys.Lett.B696:550-555,2011
10.1016/j.physletb.2011.01.016
USTC-ICTS-10-24
physics.optics cond-mat.mtrl-sci hep-th
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We propose an executable scheme to mimic the expanding cosmos in 1+2 dimensions in laboratory. Furthermore, we develop a general procedure to use nonlinear metamaterials to mimic D-brane and noncommutativity in string theory.
[{'version': 'v1', 'created': 'Mon, 31 May 2010 04:55:47 GMT'}, {'version': 'v2', 'created': 'Thu, 3 Feb 2011 08:42:42 GMT'}]
2011-03-04
[['Miao', 'Rong-Xin', ''], ['Zheng', 'Rui', ''], ['Li', 'Miao', '']]
0909.4789
Michael J. Kurtz
Michael J. Kurtz, Guenther Eichhorn, Alberto Accomazzi, Carolyn S. Grant, Markus Demleitner, Stephen S. Murray, Nathalie Martimbeau, Barbara Elwell
The Bibliometric Properties of Article Readership Information
ADS bibcode: 2005JASIS..56..111K This is the second paper (the first is Worldwide Use and Impact of the NASA Astrophysics Data System Digital Library) from the original article The NASA Astrophysics Data System: Sociology, Bibliometrics, and Impact, which went on-line in the summer of 2003
The Journal of the American Society for Information Science and Technology, Vol. 56, p. 111 (2005)
10.1002/asi.20096
null
cs.DL physics.soc-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The NASA Astrophysics Data System (ADS), along with astronomy's journals and data centers (a collaboration dubbed URANIA), has developed a distributed on-line digital library which has become the dominant means by which astronomers search, access and read their technical literature. Digital libraries such as the NASA Astrophysics Data System permit the easy accumulation of a new type of bibliometric measure, the number of electronic accesses (``reads'') of individual articles. We explore various aspects of this new measure. We examine the obsolescence function as measured by actual reads, and show that it can be well fit by the sum of four exponentials with very different time constants. We compare the obsolescence function as measured by readership with the obsolescence function as measured by citations. We find that the citation function is proportional to the sum of two of the components of the readership function. This proves that the normative theory of citation is true in the mean. We further examine in detail the similarities and differences between the citation rate, the readership rate and the total citations for individual articles, and discuss some of the causes. Using the number of reads as a bibliometric measure for individuals, we introduce the read-cite diagram to provide a two-dimensional view of an individual's scientific productivity. We develop a simple model to account for an individual's reads and cites and use it to show that the position of a person in the read-cite diagram is a function of age, innate productivity, and work history. We show the age biases of both reads and cites, and develop two new bibliometric measures which have substantially less age bias than citations
[{'version': 'v1', 'created': 'Fri, 25 Sep 2009 20:29:52 GMT'}]
2009-09-30
[['Kurtz', 'Michael J.', ''], ['Eichhorn', 'Guenther', ''], ['Accomazzi', 'Alberto', ''], ['Grant', 'Carolyn S.', ''], ['Demleitner', 'Markus', ''], ['Murray', 'Stephen S.', ''], ['Martimbeau', 'Nathalie', ''], ['Elwell', 'Barbara', '']]
2202.04868
Zehao Dou
Zehao Dou, Jakub Grudzien Kuba, Yaodong Yang
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning
37 pages
null
null
null
cs.LG cs.AI stat.ML
http://creativecommons.org/licenses/by-nc-nd/4.0/
Value function decomposition is becoming a popular rule of thumb for scaling up multi-agent reinforcement learning (MARL) in cooperative games. For such a decomposition rule to hold, the assumption of the individual-global max (IGM) principle must be made; that is, the local maxima on the decomposed value function per every agent must amount to the global maximum on the joint value function. This principle, however, does not have to hold in general. As a result, the applicability of value decomposition algorithms is concealed and their corresponding convergence properties remain unknown. In this paper, we make the first effort to answer these questions. Specifically, we introduce the set of cooperative games in which the value decomposition methods find their validity, which is referred as decomposable games. In decomposable games, we theoretically prove that applying the multi-agent fitted Q-Iteration algorithm (MA-FQI) will lead to an optimal Q-function. In non-decomposable games, the estimated Q-function by MA-FQI can still converge to the optimum under the circumstance that the Q-function needs projecting into the decomposable function space at each iteration. In both settings, we consider value function representations by practical deep neural networks and derive their corresponding convergence rates. To summarize, our results, for the first time, offer theoretical insights for MARL practitioners in terms of when value decomposition algorithms converge and why they perform well.
[{'version': 'v1', 'created': 'Thu, 10 Feb 2022 06:59:08 GMT'}, {'version': 'v2', 'created': 'Wed, 16 Feb 2022 03:17:57 GMT'}]
2022-02-17
[['Dou', 'Zehao', ''], ['Kuba', 'Jakub Grudzien', ''], ['Yang', 'Yaodong', '']]
2109.08231
Adarsh Kosta
Adarsh Kumar Kosta, Malik Aqeel Anwar, Priyadarshini Panda, Arijit Raychowdhury, and Kaushik Roy
RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Present-day Deep Reinforcement Learning (RL) systems show great promise towards building intelligent agents surpassing human-level performance. However, the computational complexity associated with the underlying deep neural networks (DNNs) leads to power-hungry implementations. This makes deep RL systems unsuitable for deployment on resource-constrained edge devices. To address this challenge, we propose a reconfigurable architecture with preemptive exits for efficient deep RL (RAPID-RL). RAPID-RL enables conditional activation of DNN layers based on the difficulty level of inputs. This allows to dynamically adjust the compute effort during inference while maintaining competitive performance. We achieve this by augmenting a deep Q-network (DQN) with side-branches capable of generating intermediate predictions along with an associated confidence score. We also propose a novel training methodology for learning the actions and branch confidence scores in a dynamic RL setting. Our experiments evaluate the proposed framework for Atari 2600 gaming tasks and a realistic Drone navigation task on an open-source drone simulator (PEDRA). We show that RAPID-RL incurs 0.34x (0.25x) number of operations (OPS) while maintaining performance above 0.88x (0.91x) on Atari (Drone navigation) tasks, compared to a baseline-DQN without any side-branches. The reduction in OPS leads to fast and efficient inference, proving to be highly beneficial for the resource-constrained edge where making quick decisions with minimal compute is essential.
[{'version': 'v1', 'created': 'Thu, 16 Sep 2021 21:30:40 GMT'}]
2021-09-20
[['Kosta', 'Adarsh Kumar', ''], ['Anwar', 'Malik Aqeel', ''], ['Panda', 'Priyadarshini', ''], ['Raychowdhury', 'Arijit', ''], ['Roy', 'Kaushik', '']]
2111.06076
Yoshio Torii
Takumi Sato, Yusuke Hayakawa, Naohiro Okamoto, Yusuke Shimomura, Takatoshi Aoki, Yoshio Torii
Birefringent atomic vapor laser lock in a hollow cathode lamp
null
J. Opt. Soc. Am. B 39, 155-159 (2022)
10.1364/JOSAB.442465
null
physics.atom-ph
http://creativecommons.org/licenses/by-nc-nd/4.0/
We report a robust method of stabilizing a laser to the frequency of an atomic transition using a hollow cathode lamp. In contrast to the standard dichroic atomic vapor laser lock (DAVLL) method, which uses dichroism induced by a longitudinal magnetic field, we employ birefringence induced by a transversal magnetic field. We applied this method to the $(5s^2)\ {}^{1}S_{0} - (5s5p)\ {}^{1}P_{1}$ transition (461 nm) of Sr. Although the hollow cathode is made of ferromagnetic material, we successfully applied a magnetic field of sufficient strength to obtain an error signal with a theoretical maximum slope. This method may be applied to other hollow cathode lamps of different atomic species.
[{'version': 'v1', 'created': 'Thu, 11 Nov 2021 06:59:04 GMT'}]
2021-12-14
[['Sato', 'Takumi', ''], ['Hayakawa', 'Yusuke', ''], ['Okamoto', 'Naohiro', ''], ['Shimomura', 'Yusuke', ''], ['Aoki', 'Takatoshi', ''], ['Torii', 'Yoshio', '']]
2203.15501
Yogachandran Rahulamathavan
Madushi H. Pathmaperuma and Yogachandran Rahulamathavan and Safak Dogan and Ahmet M. Kondoz, and Rongxing Lu
Deep Learning for Encrypted Traffic Classification and Unknown Data Detection
null
null
null
null
cs.CR cs.AI cs.LG cs.NI
http://creativecommons.org/licenses/by-sa/4.0/
Despite the widespread use of encryption techniques to provide confidentiality over Internet communications, mobile device users are still susceptible to privacy and security risks. In this paper, a new Deep Neural Network (DNN) based user activity detection framework is proposed to identify fine grained user activities performed on mobile applications (known as in-app activities) from a sniffed encrypted Internet traffic stream. One of the challenges is that there are countless applications, and it is practically impossible to collect and train a DNN model using all possible data from them. Therefore, in this work we exploit the probability distribution of DNN output layer to filter the data from applications that are not considered during the model training (i.e., unknown data). The proposed framework uses a time window based approach to divide the traffic flow of an activity into segments, so that in-app activities can be identified just by observing only a fraction of the activity related traffic. Our tests have shown that the DNN based framework has demonstrated an accuracy of 90% or above in identifying previously trained in-app activities and an average accuracy of 79% in identifying previously untrained in-app activity traffic as unknown data when this framework is employed.
[{'version': 'v1', 'created': 'Fri, 25 Mar 2022 10:55:18 GMT'}]
2022-03-30
[['Pathmaperuma', 'Madushi H.', ''], ['Rahulamathavan', 'Yogachandran', ''], ['Dogan', 'Safak', ''], ['Kondoz', 'Ahmet M.', ''], ['Lu', 'Rongxing', '']]
1404.6125
Cheng Yaping
Yaping Cheng, Sen Qian, Zhe Ning, Jingkai Xia, Wenwen Wang, Yifang Wang, Jun Cao, Xiaoshan Jiang, Zheng Wang, Xiaonan Li, Ming Qi, Yuekun Heng, Shulin Liu, Xiangcui Lei, Zhi Wu
The high-speed after pulse measurement system for PMT
null
null
null
null
physics.ins-det hep-ex
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A system employing a desktop FADC has been developed to investigate the features of 8 inches Hamamatsu PMT. The system stands out for its high-speed and informative results as a consequence of adopting fast waveform sampling technology. Recording full waveforms allows us to perform digital signal processing, pulse shape analysis, and precision timing extraction. High precision after pulse time and charge distribution characteristics are presented in this manuscript. Other photomultipliers characteristics, such as dark rate and transit time spread, can also be obtained by exploiting waveform analysis using this system.
[{'version': 'v1', 'created': 'Thu, 24 Apr 2014 14:08:42 GMT'}]
2014-04-25
[['Cheng', 'Yaping', ''], ['Qian', 'Sen', ''], ['Ning', 'Zhe', ''], ['Xia', 'Jingkai', ''], ['Wang', 'Wenwen', ''], ['Wang', 'Yifang', ''], ['Cao', 'Jun', ''], ['Jiang', 'Xiaoshan', ''], ['Wang', 'Zheng', ''], ['Li', 'Xiaonan', ''], ['Qi', 'Ming', ''], ['Heng', 'Yuekun', ''], ['Liu', 'Shulin', ''], ['Lei', 'Xiangcui', ''], ['Wu', 'Zhi', '']]
0902.3115
Jacques Vincent
V. Jacques, B. Hingant, A. Allafort, M. Pigeard and J.-F. Roch
Non-linear spectroscopy of rubidium: An undergraduate experiment
16 pages, 8 figures
null
10.1088/0143-0807/30/5/001
null
physics.ed-ph physics.atom-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we describe two complementary non-linear spectroscopy methods which both allow to achieve Doppler-free spectra of atomic gases. First, saturated absorption spectroscopy is used to investigate the structure of the $5{\rm S}_{1/2}\to 5{\rm P}_{3/2}$ transition in rubidium. Using a slightly modified experimental setup, Doppler-free two-photon absorption spectroscopy is then performed on the $5{\rm S}_{1/2}\to 5{\rm D}_{5/2}$ transition in rubidium, leading to accurate measurements of the hyperfine structure of the $5{\rm D}_{5/2}$ energy level. In addition, electric dipole selection rules of the two-photon transition are investigated, first by modifying the polarization of the excitation laser, and then by measuring two-photon absorption spectra when a magnetic field is applied close to the rubidium vapor. All experiments are performed with the same grating-feedback laser diode, providing an opportunity to compare different high resolution spectroscopy methods using a single experimental setup. Such experiments may acquaint students with quantum mechanics selection rules, atomic spectra and Zeeman effect.
[{'version': 'v1', 'created': 'Wed, 18 Feb 2009 12:31:59 GMT'}]
2015-05-13
[['Jacques', 'V.', ''], ['Hingant', 'B.', ''], ['Allafort', 'A.', ''], ['Pigeard', 'M.', ''], ['Roch', 'J. -F.', '']]
1509.07671
Sathyanarayana Paladugu
Domenico Alj, Sathyanarayana Paladugu, Giovanni Volpe, Roberto Caputo and Cesare Umeton
Polar POLICRYPS Diffractive Structures Generate Cylindrical Vector Beams
4 pages, 5 figures
null
null
null
physics.optics cond-mat.soft
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Local shaping of the polarization state of a light beam is appealing for a number of applications. This can be achieved by employing devices containing birefringent materials. In this article, we present one such device that permits one to convert a uniformly circularly polarized beam into a cylindrical vector beam (CVB). This device has been fabricated by exploiting the POLICRYPS photocuring technique. It is a liquid-crystal-based optical diffraction grating featuring polar symmetry of the director alignment. We have characterized the resulting CVB profile and polarization for the cases of left and right circularly polarized incoming beams.
[{'version': 'v1', 'created': 'Fri, 25 Sep 2015 10:57:33 GMT'}]
2015-09-28
[['Alj', 'Domenico', ''], ['Paladugu', 'Sathyanarayana', ''], ['Volpe', 'Giovanni', ''], ['Caputo', 'Roberto', ''], ['Umeton', 'Cesare', '']]
1704.08760
Srinivasan Iyer
Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, Jayant Krishnamurthy, Luke Zettlemoyer
Learning a Neural Semantic Parser from User Feedback
Accepted at ACL 2017
null
null
null
cs.CL
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present an approach to rapidly and easily build natural language interfaces to databases for new domains, whose performance improves over time based on user feedback, and requires minimal intervention. To achieve this, we adapt neural sequence models to map utterances directly to SQL with its full expressivity, bypassing any intermediate meaning representations. These models are immediately deployed online to solicit feedback from real users to flag incorrect queries. Finally, the popularity of SQL facilitates gathering annotations for incorrect predictions using the crowd, which is directly used to improve our models. This complete feedback loop, without intermediate representations or database specific engineering, opens up new ways of building high quality semantic parsers. Experiments suggest that this approach can be deployed quickly for any new target domain, as we show by learning a semantic parser for an online academic database from scratch.
[{'version': 'v1', 'created': 'Thu, 27 Apr 2017 22:05:06 GMT'}]
2017-05-01
[['Iyer', 'Srinivasan', ''], ['Konstas', 'Ioannis', ''], ['Cheung', 'Alvin', ''], ['Krishnamurthy', 'Jayant', ''], ['Zettlemoyer', 'Luke', '']]
1711.11245
Alexei Cheviakov
Ryan J. Thiessen and Alexei F. Cheviakov
Nonlinear Dynamics of a Viscous Bubbly Fluid
null
null
null
null
physics.flu-dyn math-ph math.MP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
A physical model of a three-dimensional flow of a viscous bubbly fluid in an intermediate regime between bubble formation and breakage is presented. The model is based on mechanics and thermodynamics of a single bubble coupled to the dynamics of a viscous fluid as a whole, and takes into account multiple physical effects, including gravity, viscosity, and surface tension. Dimensionless versions of the resulting nonlinear model are obtained, and values of dimensionless parameters are estimated for typical magma flows in horizontal subaerial lava fields and vertical volcanic conduits. Exact solutions of the resulting system of nonlinear equations corresponding to equilibrium flows and traveling waves are analyzed in the one-dimensional setting. Generalized Su-Gardner-type perturbation analysis is employed to study approximate solutions of the model in the long-wave ansatz. Simplified nonlinear partial differential equations (PDE) satisfied by the leading terms of the perturbation solutions are systematically derived. It is shown that for specific classes of perturbations, approximate solutions of the bubbly fluid model arise from solutions of the classical diffusion, Burgers, variable-coefficient Burgers, and Korteweg-de Vries equations.
[{'version': 'v1', 'created': 'Thu, 30 Nov 2017 05:49:35 GMT'}, {'version': 'v2', 'created': 'Wed, 5 Sep 2018 21:53:32 GMT'}, {'version': 'v3', 'created': 'Sat, 5 Jan 2019 05:30:22 GMT'}]
2019-01-08
[['Thiessen', 'Ryan J.', ''], ['Cheviakov', 'Alexei F.', '']]
1810.02180
Idan Attias
Idan Attias, Aryeh Kontorovich, Yishay Mansour
Improved Generalization Bounds for Adversarially Robust Learning
JMLR camera ready
null
null
null
cs.LG stat.ML
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We consider a model of robust learning in an adversarial environment. The learner gets uncorrupted training data with access to possible corruptions that may be affected by the adversary during testing. The learner's goal is to build a robust classifier, which will be tested on future adversarial examples. The adversary is limited to $k$ possible corruptions for each input. We model the learner-adversary interaction as a zero-sum game. This model is closely related to the adversarial examples model of Schmidt et al. (2018); Madry et al. (2017). Our main results consist of generalization bounds for the binary and multiclass classification, as well as the real-valued case (regression). For the binary classification setting, we both tighten the generalization bound of Feige et al. (2015), and are also able to handle infinite hypothesis classes. The sample complexity is improved from $O(\frac{1}{\epsilon^4}\log(\frac{|H|}{\delta}))$ to $O\big(\frac{1}{\epsilon^2}(kVC(H)\log^{\frac{3}{2}+\alpha}(kVC(H))+\log(\frac{1}{\delta})\big)$ for any $\alpha > 0$. Additionally, we extend the algorithm and generalization bound from the binary to the multiclass and real-valued cases. Along the way, we obtain results on fat-shattering dimension and Rademacher complexity of $k$-fold maxima over function classes; these may be of independent interest. For binary classification, the algorithm of Feige et al. (2015) uses a regret minimization algorithm and an ERM oracle as a black box; we adapt it for the multiclass and regression settings. The algorithm provides us with near-optimal policies for the players on a given training sample.
[{'version': 'v1', 'created': 'Thu, 4 Oct 2018 12:53:41 GMT'}, {'version': 'v2', 'created': 'Sat, 2 Mar 2019 12:29:30 GMT'}, {'version': 'v3', 'created': 'Sun, 29 Nov 2020 12:08:06 GMT'}, {'version': 'v4', 'created': 'Mon, 22 Feb 2021 22:28:57 GMT'}, {'version': 'v5', 'created': 'Fri, 1 Jul 2022 13:27:13 GMT'}]
2022-07-04
[['Attias', 'Idan', ''], ['Kontorovich', 'Aryeh', ''], ['Mansour', 'Yishay', '']]
2301.11560
Haiyan Zhao
Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
As a few large-scale pre-trained models become the major choices of various applications, new challenges arise for model pruning, e.g., can we avoid pruning the same model from scratch for every downstream task? How to reuse the pruning results of previous tasks to accelerate the pruning for a new task? To address these challenges, we create a small model for a new task from the pruned models of similar tasks. We show that a few fine-tuning steps on this model suffice to produce a promising pruned-model for the new task. We study this ''meta-pruning'' from nearest tasks on two major classes of pre-trained models, convolutional neural network (CNN) and vision transformer (ViT), under a limited budget of pruning iterations. Our study begins by investigating the overlap of pruned models for similar tasks and how the overlap changes over different layers and blocks. Inspired by these discoveries, we develop a simple but effective ''Meta-Vote Pruning (MVP)'' method that significantly reduces the pruning iterations for a new task by initializing a sub-network from the pruned models of its nearest tasks. In experiments, we demonstrate MVP's advantages in accuracy, efficiency, and generalization through extensive empirical studies and comparisons with popular pruning methods over several datasets.
[{'version': 'v1', 'created': 'Fri, 27 Jan 2023 06:49:47 GMT'}]
2023-01-30
[['Zhao', 'Haiyan', ''], ['Zhou', 'Tianyi', ''], ['Long', 'Guodong', ''], ['Jiang', 'Jing', ''], ['Zhang', 'Chengqi', '']]
2108.04425
Sergey Kruk
Sergey Kruk, Lei Wang, Basudeb Sain, Zhaogang Dong, Joel Yang, Thomas Zentgraf, Yuri Kivshar
Asymmetric parametric generation of images with nonlinear dielectric metasurfaces
Nat. Photon. (2022)
null
10.1038/s41566-022-01018-7
null
physics.optics
http://creativecommons.org/licenses/by/4.0/
Subwavelength dielectric resonators assembled into metasurfaces have become a versatile tool for miniaturising optical components approaching the nanoscale. An important class of metasurface functionalities is associated with asymmetry in both generation and transmission of light with respect to reversals of the positions of emitters and receivers. Nonlinear light-matter interaction in metasurfaces offers a promising pathway towards miniaturisation of the asymmetric control of light. Here we demonstrate asymmetric parametric generation of light in nonlinear metasurfaces. We assemble dissimilar nonlinear dielectric resonators into translucent metasurfaces that produce images in the visible spectral range being illuminated by infrared radiation. By design, the metasurfaces produce different and completely independent images for the reversed direction of illumination, that is when the positions of the infrared emitter and the visible light receiver are exchanged. Nonlinearity-enabled asymmetric control of light by subwavelength resonators paves the way towards novel nanophotonic components via dense integration of large quantities of nonlinear resonators into compact metasurface designs.
[{'version': 'v1', 'created': 'Tue, 10 Aug 2021 03:15:58 GMT'}, {'version': 'v2', 'created': 'Wed, 18 Aug 2021 01:35:15 GMT'}, {'version': 'v3', 'created': 'Wed, 22 Jun 2022 02:23:55 GMT'}, {'version': 'v4', 'created': 'Wed, 21 Dec 2022 01:48:40 GMT'}]
2022-12-22
[['Kruk', 'Sergey', ''], ['Wang', 'Lei', ''], ['Sain', 'Basudeb', ''], ['Dong', 'Zhaogang', ''], ['Yang', 'Joel', ''], ['Zentgraf', 'Thomas', ''], ['Kivshar', 'Yuri', '']]
gr-qc/0304024
David R. Fiske
David R. Fiske (University of Maryland)
Toward Making the Constraint Hypersurface an Attractor in Free Evolution
6 pages, 3 figures, 1 table. Uses REVTeX4
Phys.Rev. D69 (2004) 047501
10.1103/PhysRevD.69.047501
null
gr-qc physics.comp-ph
null
There is an abundance of empirical evidence in the numerical relativity literature that the form in which the Einstein evolution equations are written plays a significant role in the lifetime of numerical simulations. This paper attempts to present a consistent framework for modifying any system of evolution equations by adding terms that push the evolution toward the constraint hypersurface. The method is, in principle, applicable to any system of partial differential equations which can be divided into evolution equations and constraints, although it is only demonstrated here through an application to the Maxwell equations.
[{'version': 'v1', 'created': 'Fri, 4 Apr 2003 20:57:26 GMT'}]
2009-11-10
[['Fiske', 'David R.', '', 'University of Maryland']]
1606.08866
Terence Parr
Terence Parr and Jurgin Vinju
Technical Report: Towards a Universal Code Formatter through Machine Learning
null
null
null
null
cs.PL cs.AI cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
There are many declarative frameworks that allow us to implement code formatters relatively easily for any specific language, but constructing them is cumbersome. The first problem is that "everybody" wants to format their code differently, leading to either many formatter variants or a ridiculous number of configuration options. Second, the size of each implementation scales with a language's grammar size, leading to hundreds of rules. In this paper, we solve the formatter construction problem using a novel approach, one that automatically derives formatters for any given language without intervention from a language expert. We introduce a code formatter called CodeBuff that uses machine learning to abstract formatting rules from a representative corpus, using a carefully designed feature set. Our experiments on Java, SQL, and ANTLR grammars show that CodeBuff is efficient, has excellent accuracy, and is grammar invariant for a given language. It also generalizes to a 4th language tested during manuscript preparation.
[{'version': 'v1', 'created': 'Tue, 28 Jun 2016 20:04:07 GMT'}]
2016-06-30
[['Parr', 'Terence', ''], ['Vinju', 'Jurgin', '']]
2110.10065
Jeremy Vachier
Jeremy Vachier and John S. Wettlaufer
Premelting controlled active matter in ice
null
null
10.1103/PhysRevE.105.024601
null
cond-mat.soft physics.bio-ph
http://creativecommons.org/licenses/by/4.0/
Self-propelled particles can undergo complex dynamics due to a range of bulk and surface interactions. When a particle is embedded in a host solid near its bulk melting temperature, the latter may melt at the surface of the former in a process known as interfacial premelting. The thickness of the melt film depends on the temperature, impurities, material properties and geometry. A temperature gradient is accompanied by a thermomolecular pressure gradient that drives the interfacial liquid from high to low temperatures and hence the particle from low to high temperatures, in a process called thermal regelation. When the host material is ice and the embedded particle is a biological entity, one has a particularly novel form of active matter, which addresses interplay between a wide range of problems, from extremophiles of both terrestrial and exobiological relevance to ecological dynamics in Earth's cryosphere. Of basic importance in all such settings is the combined influence of biological activity and thermal regelation in controlling the redistribution of bioparticles. Therefore, we re-cast this class of regelation phenomena in the stochastic framework of active Ornstein-Uhlenbeck dynamics and make predictions relevant to this and related problems of interest in biological and geophysical problems. We examine how thermal regelation compromises paleoclimate studies in the context of ice core dating and we find that the activity influences particle dynamics during thermal regelation by enhancing the effective diffusion coefficient. Therefore, accurate dating relies on a quantitative treatment of both effects.
[{'version': 'v1', 'created': 'Tue, 19 Oct 2021 15:45:37 GMT'}, {'version': 'v2', 'created': 'Sun, 5 Dec 2021 15:10:10 GMT'}, {'version': 'v3', 'created': 'Mon, 17 Jan 2022 08:07:53 GMT'}]
2022-02-16
[['Vachier', 'Jeremy', ''], ['Wettlaufer', 'John S.', '']]
1803.09941
Zhaosong Lu
Zhaosong Lu and Zirui Zhou
Iteration complexity of first-order augmented Lagrangian methods for convex conic programming
accepted by SIAM Journal on Optimization
null
null
null
math.OC cs.CC cs.NA math.NA
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we consider a class of convex conic programming. In particular, we first propose an inexact augmented Lagrangian (I-AL) method that resembles the classical I-AL method for solving this problem, in which the augmented Lagrangian subproblems are solved approximately by a variant of Nesterov's optimal first-order method. We show that the total number of first-order iterations of the proposed I-AL method for finding an $\epsilon$-KKT solution is at most $\mathcal{O}(\epsilon^{-7/4})$. We then propose an adaptively regularized I-AL method and show that it achieves a first-order iteration complexity $\mathcal{O}(\epsilon^{-1}\log\epsilon^{-1})$, which significantly improves existing complexity bounds achieved by first-order I-AL methods for finding an $\epsilon$-KKT solution. Our complexity analysis of the I-AL methods is based on a sharp analysis of inexact proximal point algorithm (PPA) and the connection between the I-AL methods and inexact PPA. It is vastly different from existing complexity analyses of the first-order I-AL methods in the literature, which typically regard the I-AL methods as an inexact dual gradient method.
[{'version': 'v1', 'created': 'Tue, 27 Mar 2018 07:48:55 GMT'}, {'version': 'v2', 'created': 'Mon, 20 Jan 2020 03:51:08 GMT'}, {'version': 'v3', 'created': 'Wed, 1 Jun 2022 21:30:59 GMT'}, {'version': 'v4', 'created': 'Tue, 11 Oct 2022 17:26:43 GMT'}, {'version': 'v5', 'created': 'Sat, 19 Nov 2022 23:45:34 GMT'}]
2022-11-22
[['Lu', 'Zhaosong', ''], ['Zhou', 'Zirui', '']]
1310.3135
Julia-Maria Osinga
J.-M. Osinga, I. Ambro\v{z}ov\'a, K. Pachnerov\'a Brabcov\'a, M. S. Akselrod, O. J\"akel, M. Dav\'idkov\'a, S. Greilich
Single track coincidence measurements of fluorescent and plastic nuclear track detectors in therapeutic carbon beams
14 pages, 8 figures, 2 tables
Journal of Instrumentation, Vol. 9 (2014), P04013
10.1088/1748-0221/9/04/P04013
null
physics.med-ph physics.ins-det
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we present a method for single track coincidence measurements using two different track detector materials. We employed plastic and fluorescent nuclear track detectors (PNTDs and FNTDs) in the entrance channel of a monoenergetic carbon ion beam covering the therapeutically useful energy range from 80 to 425 MeV/u. About 99 % of all primary particle tracks detected by both detectors were successfully matched, while 1 % of the particles were only detected by the FNTDs because of their superior spatial resolution. We conclude that both PNTDs and FNTDs are suitable for clinical carbon beam dosimetry with a detection efficiency of at least 98.82 % and 99.83 % respectively, if irradiations are performed with low fluence in the entrance channel of the ion beam. The investigated method can be adapted to other nuclear track detectors and offers the possibility to characterize new track detector materials against well-known detectors. Further, by combining two detectors with a restricted working range in the presented way a hybrid-detector system can be created with an extended and optimized working range.
[{'version': 'v1', 'created': 'Fri, 11 Oct 2013 14:12:07 GMT'}, {'version': 'v2', 'created': 'Fri, 24 Jan 2014 09:07:27 GMT'}]
2014-07-08
[['Osinga', 'J. -M.', ''], ['Ambrožová', 'I.', ''], ['Brabcová', 'K. Pachnerová', ''], ['Akselrod', 'M. S.', ''], ['Jäkel', 'O.', ''], ['Davídková', 'M.', ''], ['Greilich', 'S.', '']]
2001.02081
Henry Hess
Henry Hess
Beyond Boltzmann: The Potential Energy Distribution of Objects in the Atmosphere
2 pages, 1 figure
null
null
null
physics.pop-ph astro-ph.EP cond-mat.stat-mech
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Estimates of the number and potential energy of molecules, aerosols, cloud droplets, insects, birds, planes and satellites in the atmosphere yield a distribution which is for potential energies below 10^2 kBT described by the Boltzmann distribution, but for the range from 10^2 kBT to 10^33 kBT by a power law with an exponent of approximately -1. An explanation for this surprising behavior is not found.
[{'version': 'v1', 'created': 'Wed, 1 Jan 2020 04:47:32 GMT'}]
2020-01-08
[['Hess', 'Henry', '']]
1507.00287
Hadi Ghauch
Hadi Ghauch, Taejoon Kim, Mats Bengtsson, Mikael Skoglund
Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO systems
journal, 13 pages
null
10.1109/JSTSP.2016.2538178
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Channel estimation and precoding in hybrid analog-digital millimeter-wave (mmWave) MIMO systems is a fundamental problem that has yet to be addressed, before any of the promised gains can be harnessed. For that matter, we propose a method (based on the well-known Arnoldi iteration) exploiting channel reciprocity in TDD systems and the sparsity of the channel's eigenmodes, to estimate the right (resp. left) singular subspaces of the channel, at the BS (resp. MS). We first describe the algorithm in the context of conventional MIMO systems, and derive bounds on the estimation error in the presence of distortions at both BS and MS. We later identify obstacles that hinder the application of such an algorithm to the hybrid analog-digital architecture, and address them individually. In view of fulfilling the constraints imposed by the hybrid analog-digital architecture, we further propose an iterative algorithm for subspace decomposition, whereby the above estimated subspaces, are approximated by a cascade of analog and digital precoder / combiner. Finally, we evaluate the performance of our scheme against the perfect CSI, fully digital case (i.e., an equivalent conventional MIMO system), and conclude that similar performance can be achieved, especially at medium-to-high SNR (where the performance gap is less than 5%), however, with a drastically lower number of RF chains (4 to 8 times less).
[{'version': 'v1', 'created': 'Wed, 1 Jul 2015 16:54:00 GMT'}, {'version': 'v2', 'created': 'Mon, 27 Jun 2016 18:11:54 GMT'}]
2016-06-28
[['Ghauch', 'Hadi', ''], ['Kim', 'Taejoon', ''], ['Bengtsson', 'Mats', ''], ['Skoglund', 'Mikael', '']]
1806.05324
Laura Felline
Laura Felline
It's a Matter of Principle. Scientific Explanation in Information-Theoretic Reconstructions of Quantum Theory
null
Dialectica, 70(4), 549-575 (2016)
null
null
quant-ph physics.hist-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The aim of this paper is to explore the ways in which Axiomatic Reconstructions of Quantum Theory in terms of Information-Theoretic principles (ARQITs) can contribute to explaining and understanding quantum phenomena, as well as to study their explanatory limitations. This is achieved in part by offering an account of the kind of explanation that axiomatic reconstructions of quantum theory provide, and re-evaluating the epistemic status of the program in light of this explanation. As illustrative cases studies, I take Clifton's, Bub's and Halvorson's characterization theorem and Popescu's and Rohrlich's toy models, and their explanatory contribution with respect to quantum non-locality. On the one hand, I argue that ARQITs can aspire to provide genuine explanations of (some aspects of) quantum non-locality. On the other hand, I argue that such explanations cannot rule out a mechanical quantum theory.
[{'version': 'v1', 'created': 'Wed, 13 Jun 2018 15:40:01 GMT'}]
2018-06-15
[['Felline', 'Laura', '']]
2006.06553
Anna Yanchenko
Anna K. Yanchenko and Sayan Mukherjee
Stanza: A Nonlinear State Space Model for Probabilistic Inference in Non-Stationary Time Series
null
null
null
null
stat.ML cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Time series with long-term structure arise in a variety of contexts and capturing this temporal structure is a critical challenge in time series analysis for both inference and forecasting settings. Traditionally, state space models have been successful in providing uncertainty estimates of trajectories in the latent space. More recently, deep learning, attention-based approaches have achieved state of the art performance for sequence modeling, though often require large amounts of data and parameters to do so. We propose Stanza, a nonlinear, non-stationary state space model as an intermediate approach to fill the gap between traditional models and modern deep learning approaches for complex time series. Stanza strikes a balance between competitive forecasting accuracy and probabilistic, interpretable inference for highly structured time series. In particular, Stanza achieves forecasting accuracy competitive with deep LSTMs on real-world datasets, especially for multi-step ahead forecasting.
[{'version': 'v1', 'created': 'Thu, 11 Jun 2020 16:06:35 GMT'}]
2020-06-12
[['Yanchenko', 'Anna K.', ''], ['Mukherjee', 'Sayan', '']]
2104.14108
Zi-Chao Gao
Zi-Chao Gao, Chao-Hai Du, Fan-Hong Li, Si-Qi Li, and Pu-Kun Liu
Forward Wave Amplification Enhanced Radiation in a 1 THz Harmonic Gyrotron
null
null
null
null
physics.plasm-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Among the most promising terahertz (THz) radiation devices, gyrotrons can generate powerful THz-wave radiation in an open resonant structure. Unfortunately, such an oscillation using high-Q axial mode has been theoretically and experimentally demonstrated to suffer from strong ohmic losses. In this paper, a solution to such a challenging problem is to include a narrow belt of lossy section in the interaction circuit to stably constitute the traveling wave interaction (high-order-axial-mode, HOAM), and employ a down-tapered magnetic field to amplify the forward-wave component. A scheme based on the traveling-wave interaction concept is proposed to strengthen electron beam-wave interaction efficiency and simultaneously reduce the ohmic loss in a 1-THz third harmonic gyrotron, which is promising for further advancement of high-power continuous-wave operation.
[{'version': 'v1', 'created': 'Thu, 29 Apr 2021 04:59:18 GMT'}]
2021-04-30
[['Gao', 'Zi-Chao', ''], ['Du', 'Chao-Hai', ''], ['Li', 'Fan-Hong', ''], ['Li', 'Si-Qi', ''], ['Liu', 'Pu-Kun', '']]
0912.3627
Andrey Voronenko A.
Andrey A. Voronenko
New Learning and Testing Problems for Read-Once Functions
null
null
null
null
cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In the paper, we consider several types of queries for classical and new problems of learning and testing read-once functions. In several cases, the border between polynomial and exponential complexities is obtained.
[{'version': 'v1', 'created': 'Fri, 18 Dec 2009 09:58:55 GMT'}]
2009-12-21
[['Voronenko', 'Andrey A.', '']]
1602.06080
Fengjiao Luo
F. J. Luo, Y. K. Heng, Z. M. Wang, P. L. Wang, Z. H. Qin, M. H. Xu, D. H. Liao, H. Q. Zhang, X. C. Lei, S. Qian, S. L. Liu, Y. B. Chen, Y. F. Wang
PMT overshoot study for JUNO prototype detector
6 pages, 11 figures
null
10.1088/1674-1137/40/9/096002
null
physics.ins-det hep-ex
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The quality of PMT signal is one of the key items for a large and high precision neutrino experiment, like Daya Bay, JUNO, while most of the experiments are affected by the PMT signal overshoot from its positive HV-single cable scheme. For JUNO prototype detector, we have a detailed study on the PMT overshoot and successfully reduced the ratio of overshoot amplitude to signal to ~1% from previous typical ~10%, with no affection to PMT other parameters. Furthermore, we calculated that the overshoot is a result of discharging of capacitors in the HV-signal splitter and the PMT voltage divider. The study result is extremely important for JUNO and other similar experiments.
[{'version': 'v1', 'created': 'Fri, 19 Feb 2016 09:10:35 GMT'}, {'version': 'v2', 'created': 'Wed, 11 May 2016 09:22:00 GMT'}]
2016-09-21
[['Luo', 'F. J.', ''], ['Heng', 'Y. K.', ''], ['Wang', 'Z. M.', ''], ['Wang', 'P. L.', ''], ['Qin', 'Z. H.', ''], ['Xu', 'M. H.', ''], ['Liao', 'D. H.', ''], ['Zhang', 'H. Q.', ''], ['Lei', 'X. C.', ''], ['Qian', 'S.', ''], ['Liu', 'S. L.', ''], ['Chen', 'Y. B.', ''], ['Wang', 'Y. F.', '']]
1408.2352
David Chappell
David J. Chappell and Gregor Tanner
A boundary integral formalism for stochastic ray tracing in billiards
27 pages, 6 figures, submitted to Chaos
null
10.1063/1.4903064
null
nlin.CD math.DS physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Determining the flow of rays or particles driven by a force or velocity field is fundamental to modelling many physical processes, including weather forecasting and the simulation of molecular dynamics. High frequency wave energy distributions can also be approximated using flow or transport equations. Applications arise in underwater and room acoustics, vibro-acoustics, seismology, electromagnetics, quantum mechanics and in producing computer generated imagery. In many practical applications, the driving field is not known exactly and the dynamics are determined only up to a degree of uncertainty. This paper presents a boundary integral framework for propagating flows including uncertainties, which is shown to systematically interpolate between a deterministic and a completely random description of the trajectory propagation. A simple but efficient discretisation approach is applied to model uncertain billiard dynamics in an integrable rectangular domain.
[{'version': 'v1', 'created': 'Mon, 11 Aug 2014 08:50:15 GMT'}, {'version': 'v2', 'created': 'Thu, 6 Nov 2014 18:25:37 GMT'}]
2015-06-22
[['Chappell', 'David J.', ''], ['Tanner', 'Gregor', '']]
1905.02082
Emanuele Palazzolo
Emanuele Palazzolo, Jens Behley, Philipp Lottes, Philippe Gigu\`ere, Cyrill Stachniss
ReFusion: 3D Reconstruction in Dynamic Environments for RGB-D Cameras Exploiting Residuals
Accepted at the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS) 2019. See teaser video at https://www.youtube.com/watch?v=1P9ZfIS5-p4. See open source code at https://github.com/PRBonn/refusion
null
null
null
cs.RO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mapping and localization are essential capabilities of robotic systems. Although the majority of mapping systems focus on static environments, the deployment in real-world situations requires them to handle dynamic objects. In this paper, we propose an approach for an RGB-D sensor that is able to consistently map scenes containing multiple dynamic elements. For localization and mapping, we employ an efficient direct tracking on the truncated signed distance function (TSDF) and leverage color information encoded in the TSDF to estimate the pose of the sensor. The TSDF is efficiently represented using voxel hashing, with most computations parallelized on a GPU. For detecting dynamics, we exploit the residuals obtained after an initial registration, together with the explicit modeling of free space in the model. We evaluate our approach on existing datasets, and provide a new dataset showing highly dynamic scenes. These experiments show that our approach often surpass other state-of-the-art dense SLAM methods. We make available our dataset with the ground truth for both the trajectory of the RGB-D sensor obtained by a motion capture system and the model of the static environment using a high-precision terrestrial laser scanner. Finally, we release our approach as open source code.
[{'version': 'v1', 'created': 'Mon, 6 May 2019 15:05:47 GMT'}, {'version': 'v2', 'created': 'Mon, 20 May 2019 10:11:38 GMT'}, {'version': 'v3', 'created': 'Thu, 29 Aug 2019 03:17:13 GMT'}]
2019-08-30
[['Palazzolo', 'Emanuele', ''], ['Behley', 'Jens', ''], ['Lottes', 'Philipp', ''], ['Giguère', 'Philippe', ''], ['Stachniss', 'Cyrill', '']]
1802.03704
Zhipeng Xue
Zhipeng Xue, Xiaojun Yuan, Junjie Ma, and Yi Ma
TARM: A Turbo-type Algorithm for Affine Rank Minimization
13pages, 16figues, conference version accepted by ICASSP 2018
null
10.1109/TSP.2019.2944740
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The affine rank minimization (ARM) problem arises in many real-world applications. The goal is to recover a low-rank matrix from a small amount of noisy affine measurements. The original problem is NP-hard, and so directly solving the problem is computationally prohibitive. Approximate low-complexity solutions for ARM have recently attracted much research interest. In this paper, we design an iterative algorithm for ARM based on message passing principles. The proposed algorithm is termed turbo-type ARM (TARM), as inspired by the recently developed turbo compressed sensing algorithm for sparse signal recovery. We show that, when the linear operator for measurement is right-orthogonally invariant (ROIL), a scalar function called state evolution can be established to accurately predict the behaviour of the TARM algorithm. We also show that TARM converges much faster than the counterpart algorithms for low-rank matrix recovery. We further extend the TARM algorithm for matrix completion, where the measurement operator corresponds to a random selection matrix. We show that, although the state evolution is not accurate for matrix completion, the TARM algorithm with carefully tuned parameters still significantly outperforms its counterparts.
[{'version': 'v1', 'created': 'Sun, 11 Feb 2018 07:02:46 GMT'}]
2020-01-08
[['Xue', 'Zhipeng', ''], ['Yuan', 'Xiaojun', ''], ['Ma', 'Junjie', ''], ['Ma', 'Yi', '']]
math-ph/0210018
Igor Loutsenko
Igor Loutsenko
Integrable Dynamics of Charges Related to Bilinear Hypergeometric Equation
27 pages, Latex, A new corrected version of older submission
Commun.Math.Phys. 242 (2003) 251-275
10.1007/s00220-003-0944-z
SISSA PREPRINT 67/02
math-ph hep-th math.DS math.MP nlin.SI physics.flu-dyn
null
A family of systems related to a linear and bilinear evolution of roots of polynomials in the complex plane is considered. Restricted to the line, the evolution induces dynamics of the Coulomb charges in external potentials, while its fixed points correspond to equilibria of charges (or point vortices in hydrodynamics) in the plane. The construction reveals a direct connection with the theories of the Calogero-Moser systems and Lie-algebraic differential operators. A study of the equilibrium configurations amounts in a construction (bilinear hypergeometric equation) for which the classical orthogonal and the Adler-Moser polynomials represent some particular cases
[{'version': 'v1', 'created': 'Wed, 9 Oct 2002 16:58:12 GMT'}, {'version': 'v2', 'created': 'Fri, 11 Oct 2002 15:52:38 GMT'}, {'version': 'v3', 'created': 'Tue, 29 Oct 2002 11:23:22 GMT'}, {'version': 'v4', 'created': 'Tue, 5 Nov 2002 14:10:49 GMT'}]
2009-11-07
[['Loutsenko', 'Igor', '']]
1406.4115
Sabrina Camargo
Sabrina Camargo, Maik Riedl, Celia Anteneodo, Juergen Kurths, Thomas Penzel, and Niels Wessel
Sleep apnea-hypopnea quantification by cardiovascular data analysis
null
null
10.1371/journal.pone.0107581
null
physics.med-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sleep apnea is the most common sleep disturbance and it is an important risk factor for cardiovascular disorders. Its detection relies on a polysomnography, a combination of diverse exams. In order to detect changes due to sleep disturbances such as sleep apnea occurrences, without the need of combined recordings, we mainly analyze systolic blood pressure signals (maximal blood pressure value of each beat to beat interval). Nonstationarities in the data are uncovered by a segmentation procedure, which provides local quantities that are correlated to apnea-hypopnea events. Those quantities are the average length and average variance of stationary patches. By comparing them to an apnea score previously obtained by polysomnographic exams, we propose an apnea quantifier based on blood pressure signal. This furnishes an alternative procedure for the detection of apnea based on a single time series, with an accuracy of 82%.
[{'version': 'v1', 'created': 'Fri, 13 Jun 2014 15:38:28 GMT'}]
2015-06-22
[['Camargo', 'Sabrina', ''], ['Riedl', 'Maik', ''], ['Anteneodo', 'Celia', ''], ['Kurths', 'Juergen', ''], ['Penzel', 'Thomas', ''], ['Wessel', 'Niels', '']]
2012.03919
Shutang You
Shutang You
A Quantum Computing Framework for Complex System Reliability Assessment
4 pages, 2 figures
null
null
null
eess.SY cs.SY
http://creativecommons.org/licenses/by-nc-sa/4.0/
This paper proposed a framework based on quantum computing for reliability assessment of complex systems. The 'Quantum Twin' concept was also proposed. The framework can be used to accelerate the reliability assessment of large-scale complex systems, which could take much computation time for classical computers to achieve accurate results. Power system is used as an example of complex systems to illustrate the framework.
[{'version': 'v1', 'created': 'Mon, 7 Dec 2020 18:46:03 GMT'}, {'version': 'v2', 'created': 'Tue, 6 Apr 2021 17:25:07 GMT'}]
2021-04-07
[['You', 'Shutang', '']]
1104.1533
David Naccache
Byungchun Chung and Sandra Marcello and Amir-Pasha Mirbaha and David Naccache and Karim Sabeg
Operand Folding Hardware Multipliers
null
null
null
null
cs.MS
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
This paper describes a new accumulate-and-add multiplication algorithm. The method partitions one of the operands and re-combines the results of computations done with each of the partitions. The resulting design turns-out to be both compact and fast. When the operands' bit-length $m$ is 1024, the new algorithm requires only $0.194m+56$ additions (on average), this is about half the number of additions required by the classical accumulate-and-add multiplication algorithm ($\frac{m}2$).
[{'version': 'v1', 'created': 'Fri, 8 Apr 2011 09:40:04 GMT'}]
2011-04-11
[['Chung', 'Byungchun', ''], ['Marcello', 'Sandra', ''], ['Mirbaha', 'Amir-Pasha', ''], ['Naccache', 'David', ''], ['Sabeg', 'Karim', '']]
1703.04704
Florian Fr\"owis
Florian Fr\"owis, Peter C. Strassmann, Alexey Tiranov, Corentin Gut, Jonathan Lavoie, Nicolas Brunner, F\'elix Bussi\`eres, Mikael Afzelius, Nicolas Gisin
Experimental certification of millions of genuinely entangled atoms in a solid
11 pages incl. Methods and Suppl. Info., 4 figures, 1 table. v2: close to published version. See also parallel submission by Zarkeshian et al (1703.04709)
Nature Communications 8, Article number: 907 (2017)
10.1038/s41467-017-00898-6
null
quant-ph physics.atom-ph physics.optics
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Quantum theory predicts that entanglement can also persist in macroscopic physical systems, albeit difficulties to demonstrate it experimentally remain. Recently, significant progress has been achieved and genuine entanglement between up to 2900 atoms was reported. Here we demonstrate 16 million genuinely entangled atoms in a solid-state quantum memory prepared by the heralded absorption of a single photon. We develop an entanglement witness for quantifying the number of genuinely entangled particles based on the collective effect of directed emission combined with the nonclassical nature of the emitted light. The method is applicable to a wide range of physical systems and is effective even in situations with significant losses. Our results clarify the role of multipartite entanglement in ensemble-based quantum memories as a necessary prerequisite to achieve a high single-photon process fidelity crucial for future quantum networks. On a more fundamental level, our results reveal the robustness of certain classes of multipartite entangled states, contrary to, e.g., Schr\"odinger-cat states, and that the depth of entanglement can be experimentally certified at unprecedented scales.
[{'version': 'v1', 'created': 'Tue, 14 Mar 2017 20:27:12 GMT'}, {'version': 'v2', 'created': 'Mon, 23 Oct 2017 13:12:52 GMT'}]
2017-10-24
[['Fröwis', 'Florian', ''], ['Strassmann', 'Peter C.', ''], ['Tiranov', 'Alexey', ''], ['Gut', 'Corentin', ''], ['Lavoie', 'Jonathan', ''], ['Brunner', 'Nicolas', ''], ['Bussières', 'Félix', ''], ['Afzelius', 'Mikael', ''], ['Gisin', 'Nicolas', '']]
1611.02460
Frederik Mallmann-Trenn
Varun Kanade, Frederik Mallmann-Trenn, Thomas Sauerwald
On coalescence time in graphs--When is coalescing as fast as meeting?
null
null
null
null
cs.DM math.CO
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Coalescing random walks is a fundamental stochastic process, where a set of particles perform independent discrete-time random walks on an undirected graph. Whenever two or more particles meet at a given node, they merge and continue as a single random walk. The coalescence time is defined as the expected time until only one particle remains, starting from one particle at every node. Despite recent progress the coalescence time for graphs such as binary trees, d-dimensional tori, hypercubes and more generally, vertex-transitive graphs, remains unresolved. We provide a powerful toolkit that results in tight bounds for various topologies including the aforementioned ones. The meeting time is defined as the worst-case expected time required for two random walks to arrive at the same node at the same time. As a general result, we establish that for graphs whose meeting time is only marginally larger than the mixing time (a factor of log^2 n), the coalescence time of n random walks equals the meeting time up to constant factors. This upper bound is complemented by the construction of a graph family demonstrating that this result is the best possible up to constant factors. For almost-regular graphs, we bound the coalescence time by the hitting time, resolving the discrete-time variant of a conjecture by Aldous for this class of graphs. Finally, we prove that for any graph the coalescence time is bounded by O(n^3) (which is tight for the Barbell graph); surprisingly even such a basic question about the coalescing time was not answered before this work. By duality, our results give bounds on the voter model and therefore give bounds on the consensus time in arbitrary undirected graphs. We also establish a new bound on the hitting time and cover time of regular graphs, improving and tightening previous results by Broder and Karlin, as well as those by Aldous and Fill.
[{'version': 'v1', 'created': 'Tue, 8 Nov 2016 10:05:53 GMT'}, {'version': 'v2', 'created': 'Fri, 7 Apr 2017 10:08:50 GMT'}, {'version': 'v3', 'created': 'Thu, 2 Aug 2018 19:05:38 GMT'}, {'version': 'v4', 'created': 'Thu, 1 Nov 2018 18:46:53 GMT'}]
2018-11-05
[['Kanade', 'Varun', ''], ['Mallmann-Trenn', 'Frederik', ''], ['Sauerwald', 'Thomas', '']]
1205.1183
Xiaohui Bei
Xiaohui Bei, Ning Chen, Shengyu Zhang
On the Complexity of Trial and Error
null
null
null
null
cs.CC cs.DS cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Motivated by certain applications from physics, biochemistry, economics, and computer science, in which the objects under investigation are not accessible because of various limitations, we propose a trial-and-error model to examine algorithmic issues in such situations. Given a search problem with a hidden input, we are asked to find a valid solution, to find which we can propose candidate solutions (trials), and use observed violations (errors), to prepare future proposals. In accordance with our motivating applications, we consider the fairly broad class of constraint satisfaction problems, and assume that errors are signaled by a verification oracle in the format of the index of a violated constraint (with the content of the constraint still hidden). Our discoveries are summarized as follows. On one hand, despite the seemingly very little information provided by the verification oracle, efficient algorithms do exist for a number of important problems. For the Nash, Core, Stable Matching, and SAT problems, the unknown-input versions are as hard as the corresponding known-input versions, up to a factor of polynomial. We further give almost tight bounds on the latter two problems' trial complexities. On the other hand, there are problems whose complexities are substantially increased in the unknown-input model. In particular, no time-efficient algorithms exist (under standard hardness assumptions) for Graph Isomorphism and Group Isomorphism problems. The tools used to achieve these results include order theory, strong ellipsoid method, and some non-standard reductions. Our model investigates the value of information, and our results demonstrate that the lack of input information can introduce various levels of extra difficulty. The model exhibits intimate connections with (and we hope can also serve as a useful supplement to) certain existing learning and complexity theories.
[{'version': 'v1', 'created': 'Sun, 6 May 2012 06:03:27 GMT'}, {'version': 'v2', 'created': 'Thu, 18 Apr 2013 05:39:19 GMT'}]
2013-04-19
[['Bei', 'Xiaohui', ''], ['Chen', 'Ning', ''], ['Zhang', 'Shengyu', '']]
1206.6083
Sergey Leble
Sergey Kshevetskii, Sergey Leble
Study of internal wave breaking dependence on stratification
25 pages, 15 figures
null
null
null
math-ph math.DS math.MP nlin.CD physics.ao-ph physics.flu-dyn
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Mixing effect in a stratified fluid is considered and examined. Euler equations for incompressible fluid stratified by a gravity field are applied to state a mathematical problem and describe the effect. It is found out that a system of Euler equations is not enough for a formulation of correct generalized problem. Some complementary relations are suggested and justified. A numerical method is developed and applied for study of processes of vortex destruction and mixing progress in a stratified fluid. The dependence of vortex destruction on a stratification scale is investigated numerically and it is shown that the effect increases with the stratification scale. It is observed that the effect of vortex destruction is absent when the fluid density is constant. Some simple mathematical explanation of the effect is suggested.
[{'version': 'v1', 'created': 'Tue, 26 Jun 2012 19:04:33 GMT'}]
2012-06-27
[['Kshevetskii', 'Sergey', ''], ['Leble', 'Sergey', '']]
2012.08459
Sophie Burkhardt
Sophie Burkhardt, Jannis Brugger, Nicolas Wagner, Zahra Ahmadi, Kristian Kersting and Stefan Kramer
Rule Extraction from Binary Neural Networks with Convolutional Rules for Model Validation
null
null
null
null
cs.LG cs.AI
http://creativecommons.org/licenses/by-nc-sa/4.0/
Most deep neural networks are considered to be black boxes, meaning their output is hard to interpret. In contrast, logical expressions are considered to be more comprehensible since they use symbols that are semantically close to natural language instead of distributed representations. However, for high-dimensional input data such as images, the individual symbols, i.e. pixels, are not easily interpretable. We introduce the concept of first-order convolutional rules, which are logical rules that can be extracted using a convolutional neural network (CNN), and whose complexity depends on the size of the convolutional filter and not on the dimensionality of the input. Our approach is based on rule extraction from binary neural networks with stochastic local search. We show how to extract rules that are not necessarily short, but characteristic of the input, and easy to visualize. Our experiments show that the proposed approach is able to model the functionality of the neural network while at the same time producing interpretable logical rules.
[{'version': 'v1', 'created': 'Tue, 15 Dec 2020 17:55:53 GMT'}]
2020-12-16
[['Burkhardt', 'Sophie', ''], ['Brugger', 'Jannis', ''], ['Wagner', 'Nicolas', ''], ['Ahmadi', 'Zahra', ''], ['Kersting', 'Kristian', ''], ['Kramer', 'Stefan', '']]
1710.01231
Holger Cartarius
Holger Cartarius, Ziad H. Musslimani, Lukas Schwarz, G\"unter Wunner
Computing eigenfunctions and eigenvalues of boundary value problems with the orthogonal spectral renormalization method
11 pages, 8 figures, additional numerical examples
Phys. Rev. A 97, 032134 (2018)
10.1103/PhysRevA.97.032134
null
physics.comp-ph cond-mat.quant-gas quant-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The spectral renormalization method was introduced in 2005 as an effective way to compute ground states of nonlinear Schr\"odinger and Gross-Pitaevskii type equations. In this paper, we introduce an orthogonal spectral renormalization (OSR) method to compute ground and excited states (and their respective eigenvalues) of linear and nonlinear eigenvalue problems. The implementation of the algorithm follows four simple steps: (i) reformulate the underlying eigenvalue problem as a fixed point equation, (ii) introduce a renormalization factor that controls the convergence properties of the iteration, (iii) perform a Gram-Schmidt orthogonalization process in order to prevent the iteration from converging to an unwanted mode; and (iv) compute the solution sought using a fixed-point iteration. The advantages of the OSR scheme over other known methods (such as Newton's and self-consistency) are: (i) it allows the flexibility to choose large varieties of initial guesses without diverging, (ii) easy to implement especially at higher dimensions and (iii) it can easily handle problems with complex and random potentials. The OSR method is implemented on benchmark Hermitian linear and nonlinear eigenvalue problems as well as linear and nonlinear non-Hermitian $\mathcal{PT}$-symmetric models.
[{'version': 'v1', 'created': 'Tue, 3 Oct 2017 15:57:52 GMT'}, {'version': 'v2', 'created': 'Fri, 30 Mar 2018 14:45:33 GMT'}]
2018-04-02
[['Cartarius', 'Holger', ''], ['Musslimani', 'Ziad H.', ''], ['Schwarz', 'Lukas', ''], ['Wunner', 'Günter', '']]
0903.0069
Pierre-Louis Cayrel
Pierre-Louis Cayrel, Philippe Gaborit, David Galindo and Marc Girault
Improved identity-based identification using correcting codes
9 pages
null
null
null
cs.CR
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, a new identity-based identification scheme based on error-correcting codes is proposed. Two well known code-based schemes are combined : the signature scheme by Courtois, Finiasz and Sendrier and an identification scheme by Stern. A proof of security for the scheme in the Random Oracle Model is given.
[{'version': 'v1', 'created': 'Sat, 28 Feb 2009 12:05:58 GMT'}]
2009-03-03
[['Cayrel', 'Pierre-Louis', ''], ['Gaborit', 'Philippe', ''], ['Galindo', 'David', ''], ['Girault', 'Marc', '']]
1505.07432
Zhengfeng Ji
Zhengfeng Ji
Classical Verification of Quantum Proofs
36 pages, 8 figures
null
null
null
quant-ph cs.CC
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We present a classical interactive protocol that verifies the validity of a quantum witness state for the local Hamiltonian problem. It follows from this protocol that approximating the non-local value of a multi-player one-round game to inverse polynomial precision is QMA-hard. Our work makes an interesting connection between the theory of QMA-completeness and Hamiltonian complexity on one hand and the study of non-local games and Bell inequalities on the other.
[{'version': 'v1', 'created': 'Wed, 27 May 2015 18:46:24 GMT'}]
2015-05-28
[['Ji', 'Zhengfeng', '']]
1207.1791
Franco Ruzzenenti
Franco Ruzzenenti and Francesco Picciolo and Riccardo Basosi and Diego Garlaschelli
Spatial effects in real networks: measures, null models, and applications
null
Physical Review E 86, 066110 (2012)
10.1103/PhysRevE.86.066110
null
physics.soc-ph cs.SI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Spatially embedded networks are shaped by a combination of purely topological (space-independent) and space-dependent formation rules. While it is quite easy to artificially generate networks where the relative importance of these two factors can be varied arbitrarily, it is much more difficult to disentangle these two architectural effects in real networks. Here we propose a solution to the problem by introducing global and local measures of spatial effects that, through a comparison with adequate null models, effectively filter out the spurious contribution of non-spatial constraints. Our filtering allows us to consistently compare different embedded networks or different historical snapshots of the same network. As a challenging application we analyse the World Trade Web, whose topology is expected to depend on geographic distances but is also strongly determined by non-spatial constraints (degree sequence or GDP). Remarkably, we are able to detect weak but significant spatial effects both locally and globally in the network, showing that our method succeeds in retrieving spatial information even when non-spatial factors dominate. We finally relate our results to the economic literature on gravity models and trade globalization.
[{'version': 'v1', 'created': 'Sat, 7 Jul 2012 12:16:58 GMT'}, {'version': 'v2', 'created': 'Tue, 10 Jul 2012 09:24:01 GMT'}, {'version': 'v3', 'created': 'Mon, 16 Jul 2012 10:45:07 GMT'}, {'version': 'v4', 'created': 'Sat, 13 Oct 2012 13:29:15 GMT'}, {'version': 'v5', 'created': 'Tue, 27 Nov 2012 15:22:39 GMT'}]
2013-09-10
[['Ruzzenenti', 'Franco', ''], ['Picciolo', 'Francesco', ''], ['Basosi', 'Riccardo', ''], ['Garlaschelli', 'Diego', '']]
2002.04175
Sushmita Bhattacharya
Sushmita Bhattacharya, Sahil Badyal, Thomas Wheeler, Stephanie Gil, Dimitri Bertsekas
Reinforcement Learning for POMDP: Partitioned Rollout and Policy Iteration with Application to Autonomous Sequential Repair Problems
Total 9 pages, 9 figures, 1 table, submitted and accepted to be published in IEEE RA-L 2020
null
null
null
cs.RO cs.AI
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper we consider infinite horizon discounted dynamic programming problems with finite state and control spaces, and partial state observations. We discuss an algorithm that uses multistep lookahead, truncated rollout with a known base policy, and a terminal cost function approximation. This algorithm is also used for policy improvement in an approximate policy iteration scheme, where successive policies are approximated by using a neural network classifier. A novel feature of our approach is that it is well suited for distributed computation through an extended belief space formulation and the use of a partitioned architecture, which is trained with multiple neural networks. We apply our methods in simulation to a class of sequential repair problems where a robot inspects and repairs a pipeline with potentially several rupture sites under partial information about the state of the pipeline.
[{'version': 'v1', 'created': 'Tue, 11 Feb 2020 02:38:38 GMT'}]
2020-02-12
[['Bhattacharya', 'Sushmita', ''], ['Badyal', 'Sahil', ''], ['Wheeler', 'Thomas', ''], ['Gil', 'Stephanie', ''], ['Bertsekas', 'Dimitri', '']]
1903.06374
Yong Li
Xu Wang, Xinsheng Fang, Dongxing Mao, Yun Jing and Yong Li
Extremely asymmetrical acoustic metasurface mirror at the exceptional point
5 pages, 4 figures
Phys. Rev. Lett. 123, 214302 (2019)
10.1103/PhysRevLett.123.214302
null
physics.app-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Previous research has attempted to minimize the influence of loss in reflection- and transmission-type acoustic metasurfaces. This letter shows that, by treating the acoustic metasurface as a non-Hermitian system and by harnessing loss, unconventional wave behaviors that do not exist in lossless metasurfaces can be uncovered. Specifically, we theoretically and experimentally demonstrate a non-Hermitian acoustic metasurface mirror featuring extremely asymmetrical reflection at the exception point. As an example, the metasurface mirror is designed to have high-efficiency retro-reflection when the wave incidents from one side and complete absorption when the wave incidents from the other side. This work marries conventional gradient index metasurfaces with the exception point from non-Hermitian systems, and paves the way for identifying new mechanisms and functionalities for wave manipulation.
[{'version': 'v1', 'created': 'Fri, 15 Mar 2019 05:44:45 GMT'}, {'version': 'v2', 'created': 'Thu, 21 Mar 2019 02:33:07 GMT'}]
2019-11-27
[['Wang', 'Xu', ''], ['Fang', 'Xinsheng', ''], ['Mao', 'Dongxing', ''], ['Jing', 'Yun', ''], ['Li', 'Yong', '']]
2110.06640
Max Fischer Mr
Christian von Koch, William Anz\'en, Max Fischer, Raazesh Sainudiin
Detecting Slag Formations with Deep Convolutional Neural Networks
15 pages, 6 figures, to be published in the proceedings of DAGM German Conference on Pattern Recognition 2021
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We investigate the ability to detect slag formations in images from inside a Grate-Kiln system furnace with two deep convolutional neural networks. The conditions inside the furnace cause occasional obstructions of the camera view. Our approach suggests dealing with this problem by introducing a convLSTM-layer in the deep convolutional neural network. The results show that it is possible to achieve sufficient performance to automate the decision of timely countermeasures in the industrial operational setting. Furthermore, the addition of the convLSTM-layer results in fewer outlying predictions and a lower running variance of the fraction of detected slag in the image time series.
[{'version': 'v1', 'created': 'Wed, 13 Oct 2021 11:13:48 GMT'}]
2021-10-14
[['von Koch', 'Christian', ''], ['Anzén', 'William', ''], ['Fischer', 'Max', ''], ['Sainudiin', 'Raazesh', '']]
1902.09576
Yongqiang Wang
Yongqiang Wang
Privacy-Preserving Average Consensus via State Decomposition
accepted to IEEE Transactions on Automatic Control
null
null
null
math.OC cs.CR cs.SY
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Average consensus underpins key functionalities of distributed systems ranging from distributed information fusion, decision-making, distributed optimization, to load balancing and decentralized control. Existing distributed average consensus algorithms require each node to exchange and disclose state information to its neighbors, which is undesirable in cases where the state is private or contains sensitive information. In this paper, we propose a novel approach that avoids disclosing individual state information in average consensus by letting each node decompose its state into two sub-states. For each node, one of the two sub-states involves in computation and inter-node interactions as if it were the original state, while the other sub-state interacts only with the first sub-state of the same node, being completely invisible to other nodes. The initial values of the two sub-states are chosen randomly but with their mean fixed to the initial value of the original state, which is key to guarantee convergence to the desired consensus value. In direct contrast to differential-privacy based privacy-preserving average-consensus approaches which enable privacy by compromising accuracy in the consensus value, the proposed approach can guarantee convergence to the \emph{exact} desired value without any error. Not only is the proposed approach able to prevent the disclosure of a node's initial state to honest-but-curious neighbors, it can also provide protection against inference by external eavesdroppers able to wiretap communication links. Numerical simulations demonstrate the effectiveness of the approach and its advantages over state-of-the-art counterparts.
[{'version': 'v1', 'created': 'Mon, 25 Feb 2019 19:19:24 GMT'}, {'version': 'v2', 'created': 'Sat, 2 Mar 2019 15:06:17 GMT'}]
2019-03-05
[['Wang', 'Yongqiang', '']]
1705.08723
Mathieu Lorteau
Mathieu Lorteau (Chatillon), Marta De La Llave Plata (Chatillon), Vincent Couaillier (Chatillon)
Turbulent jet simulation using high-order DG methods for aeroacoustics analysis
null
null
null
null
physics.flu-dyn physics.class-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this work, a high-order discontinuous Galerkin (DG) method is used to perform a large-eddy simulation (LES) of a subsonic isothermal jet at high Reynolds number Re D = 10^6 on a fully un-structured mesh. Its radiated acoustic field is computed using the Ffowcs Williams and Hawkings formulation. In order to assess the accuracy of the DG method, the simulation results are compared to experimental measurements and a reference simulation based on a finite volume method. The comparisons are made on the flow quantities (mean, rms and spectra) and pressure far field (rms and spectra).
[{'version': 'v1', 'created': 'Tue, 23 May 2017 08:54:08 GMT'}]
2017-05-25
[['Lorteau', 'Mathieu', '', 'Chatillon'], ['Plata', 'Marta De La Llave', '', 'Chatillon'], ['Couaillier', 'Vincent', '', 'Chatillon']]
2203.12196
Daniel Tabas
Daniel Tabas and Baosen Zhang
Safe and Efficient Model Predictive Control Using Neural Networks: An Interior Point Approach
To appear in the proceedings of the 2022 Conference on Decision and Control (CDC)
null
null
null
eess.SY cs.SY
http://creativecommons.org/licenses/by/4.0/
Model predictive control (MPC) provides a useful means for controlling systems with constraints, but suffers from the computational burden of repeatedly solving an optimization problem in real time. Offline (explicit) solutions for MPC attempt to alleviate real time computational challenges using either multiparametric programming or machine learning. The multiparametric approaches are typically applied to linear or quadratic MPC problems, while learning-based approaches can be more flexible and are less memory-intensive. Existing learning-based approaches offer significant speedups, but the challenge becomes ensuring constraint satisfaction while maintaining good performance. In this paper, we provide a neural network parameterization of MPC policies that explicitly encodes the constraints of the problem. By exploring the interior of the MPC feasible set in an unsupervised learning paradigm, the neural network finds better policies faster than projection-based methods and exhibits substantially shorter solve times. We use the proposed policy to solve a robust MPC problem, and demonstrate the performance and computational gains on a standard test system.
[{'version': 'v1', 'created': 'Wed, 23 Mar 2022 05:12:25 GMT'}, {'version': 'v2', 'created': 'Tue, 13 Sep 2022 07:36:49 GMT'}]
2022-09-14
[['Tabas', 'Daniel', ''], ['Zhang', 'Baosen', '']]
2204.08481
Pouria Khalaj
Ali Rostami Shirazi, Hosein Haghi, Pouria Khalaj, Ahmad Farhani Asl, Akram Hasani Zonoozi
The Escape of Globular Clusters from the Satellite Dwarf Galaxies of the Milky Way
16 pages, 7 figures (including 1 in the appendix), 6 tables (including 2 in the appendix). Accepted for publication in MNRAS
null
10.1093/mnras/stac1070
null
astro-ph.GA physics.comp-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Using numerical simulations, we have studied the escape of globular clusters (GCs) from the satellite dwarf spheroidal galaxies (dSphs) of the Milky Way (MW). We start by following the orbits of a large sample of GCs around dSphs in the presence of the MW potential field. We then obtain the fraction of GCs leaving their host dSphs within a Hubble Time. We model dSphs by a Hernquist density profile with masses between $10^7\,\mathrm{M}_{\odot}$ and $7\times 10^9\,\mathrm{M}_{\odot}$. All dSphs lie on the Galactic disc plane, but they have different orbital eccentricities and apogalactic distances. We compute the escape fraction of GCs from 13 of the most massive dSphs of the MW, using their realistic orbits around the MW (as determined by Gaia). The escape fraction of GCs from 13 dSphs is in the range $12\%$ to $93\%$. The average escape time of GCs from these dSphs was less than 8 $\,\mathrm{Gyrs}$, indicating that the escape process of GCs from dSphs was over. We then adopt a set of observationally-constrained density profiles for specific case of the Fornax dSph. According to our results, the escape fraction of GCs shows a negative correlation with both the mass and the apogalactic distance of the dSphs, as well as a positive correlation with the orbital eccentricity of dSphs. In particular, we find that the escape fraction of GCs from the Fornax dSph is between $13\%$ and $38\%$. Finally, we observe that when GCs leave their host dSphs, their final orbit around the MW does not differ much from their host dSphs.
[{'version': 'v1', 'created': 'Mon, 18 Apr 2022 18:00:00 GMT'}]
2022-04-26
[['Shirazi', 'Ali Rostami', ''], ['Haghi', 'Hosein', ''], ['Khalaj', 'Pouria', ''], ['Asl', 'Ahmad Farhani', ''], ['Zonoozi', 'Akram Hasani', '']]
2202.09433
Mengyuan Li
Mengyuan Li, Ann Franchesca Laguna, Dayane Reis, Xunzhao Yin, Michael Niemier, and Xiaobo Sharon Hu
iMARS: An In-Memory-Computing Architecture for Recommendation Systems
Accepted by 59th Design Automation Conference (DAC)
null
null
null
cs.AR
http://creativecommons.org/licenses/by-nc-sa/4.0/
Recommendation systems (RecSys) suggest items to users by predicting their preferences based on historical data. Typical RecSys handle large embedding tables and many embedding table related operations. The memory size and bandwidth of the conventional computer architecture restrict the performance of RecSys. This work proposes an in-memory-computing (IMC) architecture (iMARS) for accelerating the filtering and ranking stages of deep neural network-based RecSys. iMARS leverages IMC-friendly embedding tables implemented inside a ferroelectric FET based IMC fabric. Circuit-level and system-level evaluation show that \fw achieves 16.8x (713x) end-to-end latency (energy) improvement compared to the GPU counterpart for the MovieLens dataset.
[{'version': 'v1', 'created': 'Fri, 18 Feb 2022 21:21:37 GMT'}]
2022-02-22
[['Li', 'Mengyuan', ''], ['Laguna', 'Ann Franchesca', ''], ['Reis', 'Dayane', ''], ['Yin', 'Xunzhao', ''], ['Niemier', 'Michael', ''], ['Hu', 'Xiaobo Sharon', '']]
1812.09912
Wonwoong Cho
Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo
Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring Transformation
CVPR 2019 (oral)
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recently, unsupervised exemplar-based image-to-image translation, conditioned on a given exemplar without the paired data, has accomplished substantial advancements. In order to transfer the information from an exemplar to an input image, existing methods often use a normalization technique, e.g., adaptive instance normalization, that controls the channel-wise statistics of an input activation map at a particular layer, such as the mean and the variance. Meanwhile, style transfer approaches similar task to image translation by nature, demonstrated superior performance by using the higher-order statistics such as covariance among channels in representing a style. In detail, it works via whitening (given a zero-mean input feature, transforming its covariance matrix into the identity). followed by coloring (changing the covariance matrix of the whitened feature to those of the style feature). However, applying this approach in image translation is computationally intensive and error-prone due to the expensive time complexity and its non-trivial backpropagation. In response, this paper proposes an end-to-end approach tailored for image translation that efficiently approximates this transformation with our novel regularization methods. We further extend our approach to a group-wise form for memory and time efficiency as well as image quality. Extensive qualitative and quantitative experiments demonstrate that our proposed method is fast, both in training and inference, and highly effective in reflecting the style of an exemplar. Finally, our code is available at https://github.com/WonwoongCho/GDWCT.
[{'version': 'v1', 'created': 'Mon, 24 Dec 2018 13:03:24 GMT'}, {'version': 'v2', 'created': 'Sun, 9 Jun 2019 08:58:05 GMT'}]
2019-06-11
[['Cho', 'Wonwoong', ''], ['Choi', 'Sungha', ''], ['Park', 'David Keetae', ''], ['Shin', 'Inkyu', ''], ['Choo', 'Jaegul', '']]
1306.0125
Jacob Whitehill
Jacob Whitehill
Understanding ACT-R - an Outsider's Perspective
null
null
null
null
cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The ACT-R theory of cognition developed by John Anderson and colleagues endeavors to explain how humans recall chunks of information and how they solve problems. ACT-R also serves as a theoretical basis for "cognitive tutors", i.e., automatic tutoring systems that help students learn mathematics, computer programming, and other subjects. The official ACT-R definition is distributed across a large body of literature spanning many articles and monographs, and hence it is difficult for an "outsider" to learn the most important aspects of the theory. This paper aims to provide a tutorial to the core components of the ACT-R theory.
[{'version': 'v1', 'created': 'Sat, 1 Jun 2013 15:48:58 GMT'}]
2013-06-04
[['Whitehill', 'Jacob', '']]
1802.06963
Karim Said Barsim
Karim Said Barsim, Lukas Mauch, Bin Yang
Neural Network Ensembles to Real-time Identification of Plug-level Appliance Measurements
NILM Workshop 2016
null
null
ID09
cs.LG cs.AI eess.SP
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
The problem of identifying end-use electrical appliances from their individual consumption profiles, known as the appliance identification problem, is a primary stage in both Non-Intrusive Load Monitoring (NILM) and automated plug-wise metering. Therefore, appliance identification has received dedicated studies with various electric appliance signatures, classification models, and evaluation datasets. In this paper, we propose a neural network ensembles approach to address this problem using high resolution measurements. The models are trained on the raw current and voltage waveforms, and thus, eliminating the need for well engineered appliance signatures. We evaluate the proposed model on a publicly available appliance dataset from 55 residential buildings, 11 appliance categories, and over 1000 measurements. We further study the stability of the trained models with respect to training dataset, sampling frequency, and variations in the steady-state operation of appliances.
[{'version': 'v1', 'created': 'Tue, 20 Feb 2018 04:32:35 GMT'}]
2018-02-21
[['Barsim', 'Karim Said', ''], ['Mauch', 'Lukas', ''], ['Yang', 'Bin', '']]
2211.17169
Martin Bullinger
Niclas Boehmer and Martin Bullinger and Anna Maria Kerkmann
Causes of Stability in Dynamic Coalition Formation
Appears in the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023
null
null
null
cs.GT
http://creativecommons.org/licenses/by/4.0/
We study the formation of stable outcomes via simple dynamics in cardinal hedonic games, where the utilities of agents change over time depending on the history of the coalition formation process. Specifically, we analyze situations where members of a coalition decrease their utility for a leaving agent (resent) or increase their utility for a joining agent (appreciation). We show that in contrast to classical dynamics, for resentful or appreciative agents, dynamics are guaranteed to converge under mild conditions for various stability concepts. Thereby, we establish that both resent and appreciation are strong stability-driving forces.
[{'version': 'v1', 'created': 'Wed, 30 Nov 2022 17:05:55 GMT'}]
2022-12-01
[['Boehmer', 'Niclas', ''], ['Bullinger', 'Martin', ''], ['Kerkmann', 'Anna Maria', '']]
2203.16517
Sumitra Malagi Ms.
Hari Chandana Kuchibhotla, Sumitra S Malagi, Shivam Chandhok, Vineeth N Balasubramanian
Unseen Classes at a Later Time? No Problem
To appear in CVPR 2022. Code is available @ (https://github.com/sumitramalagi/Unseen-classes-at-a-later-time)
null
null
null
cs.CV
http://creativecommons.org/licenses/by/4.0/
Recent progress towards learning from limited supervision has encouraged efforts towards designing models that can recognize novel classes at test time (generalized zero-shot learning or GZSL). GZSL approaches assume knowledge of all classes, with or without labeled data, beforehand. However, practical scenarios demand models that are adaptable and can handle dynamic addition of new seen and unseen classes on the fly (that is continual generalized zero-shot learning or CGZSL). One solution is to sequentially retrain and reuse conventional GZSL methods, however, such an approach suffers from catastrophic forgetting leading to suboptimal generalization performance. A few recent efforts towards tackling CGZSL have been limited by difference in settings, practicality, data splits and protocols followed-inhibiting fair comparison and a clear direction forward. Motivated from these observations, in this work, we firstly consolidate the different CGZSL setting variants and propose a new Online-CGZSL setting which is more practical and flexible. Secondly, we introduce a unified feature-generative framework for CGZSL that leverages bi-directional incremental alignment to dynamically adapt to addition of new classes, with or without labeled data, that arrive over time in any of these CGZSL settings. Our comprehensive experiments and analysis on five benchmark datasets and comparison with baselines show that our approach consistently outperforms existing methods, especially on the more practical Online setting.
[{'version': 'v1', 'created': 'Wed, 30 Mar 2022 17:52:16 GMT'}]
2022-03-31
[['Kuchibhotla', 'Hari Chandana', ''], ['Malagi', 'Sumitra S', ''], ['Chandhok', 'Shivam', ''], ['Balasubramanian', 'Vineeth N', '']]
1811.03457
Lukas Burkhalter
Lukas Burkhalter, Anwar Hithnawi, Alexander Viand, Hossein Shafagh, Sylvia Ratnasamy
TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control
null
null
null
null
cs.CR
http://creativecommons.org/licenses/by/4.0/
A growing number of devices and services collect detailed time series data that is stored in the cloud. Protecting the confidentiality of this vast and continuously generated data is an acute need for many applications in this space. At the same time, we must preserve the utility of this data by enabling authorized services to securely and selectively access and run analytics. This paper presents TimeCrypt, a system that provides scalable and real-time analytics over large volumes of encrypted time series data. TimeCrypt allows users to define expressive data access and privacy policies and enforces it cryptographically via encryption. In TimeCrypt, data is encrypted end-to-end, and authorized parties can only decrypt and verify queries within their authorized access scope. Our evaluation of TimeCrypt shows that its memory overhead and performance are competitive and close to operating on data in the clear.
[{'version': 'v1', 'created': 'Thu, 8 Nov 2018 14:41:28 GMT'}, {'version': 'v2', 'created': 'Fri, 13 Mar 2020 17:11:41 GMT'}]
2020-03-16
[['Burkhalter', 'Lukas', ''], ['Hithnawi', 'Anwar', ''], ['Viand', 'Alexander', ''], ['Shafagh', 'Hossein', ''], ['Ratnasamy', 'Sylvia', '']]
2202.00892
Ivan Bajic
Takehiro Tanaka, Alon Harell, Ivan V. Baji\'c
Does Video Compression Impact Tracking Accuracy?
5 pages, 6 figures, 3 tables, IEEE International Symposium on Circuits and Systems (ISCAS) 2022
null
null
null
cs.CV eess.IV
http://creativecommons.org/licenses/by/4.0/
Everyone "knows" that compressing a video will degrade the accuracy of object tracking. Yet, a literature search on this topic reveals that there is very little documented evidence for this presumed fact. Part of the reason is that, until recently, there were no object tracking datasets for uncompressed video, which made studying the effects of compression on tracking accuracy difficult. In this paper, using a recently published dataset that contains tracking annotations for uncompressed videos, we examined the degradation of tracking accuracy due to video compression using rigorous statistical methods. Specifically, we examined the impact of quantization parameter (QP) and motion search range (MSR) on Multiple Object Tracking Accuracy (MOTA). The results show that QP impacts MOTA at the 95% confidence level, while there is insufficient evidence to claim that MSR impacts MOTA. Moreover, regression analysis allows us to derive a quantitative relationship between MOTA and QP for the specific tracker used in the experiments.
[{'version': 'v1', 'created': 'Wed, 2 Feb 2022 06:43:29 GMT'}]
2022-02-03
[['Tanaka', 'Takehiro', ''], ['Harell', 'Alon', ''], ['Bajić', 'Ivan V.', '']]
physics/0306103
Stefano Bagnasco
S. Bagnasco, R. Barbera, P. Buncic, F. Carminati, P. Cerello, P. Saiz
AliEn - EDG Interoperability in ALICE
Talk from the 2003 Computing in High Energy and Nuclear Physics (CHEP03), La Jolla, Ca, USA, March 2003,4 pages, PDF, 2 figures. PSN TUCP005
null
null
null
physics.comp-ph
null
AliEn (ALICE Environment) is a GRID-like system for large scale job submission and distributed data management developed and used in the context of ALICE, the CERN LHC heavy-ion experiment. With the aim of exploiting upcoming Grid resources to run AliEn-managed jobs and store the produced data, the problem of AliEn-EDG interoperability was addressed and an in-terface was designed. One or more EDG (European Data Grid) User Interface machines run the AliEn software suite (Cluster Monitor, Storage Element and Computing Element), and act as interface nodes between the systems. An EDG Resource Broker is seen by the AliEn server as a single Computing Element, while the EDG storage is seen by AliEn as a single, large Storage Element; files produced in EDG sites are registered in both the EDG Replica Catalogue and in the AliEn Data Catalogue, thus ensuring accessibility from both worlds. In fact, both registrations are required: the AliEn one is used for the data management, the EDG one to guarantee the integrity and access to EDG produced data. A prototype interface has been successfully deployed using the ALICE AliEn Server and the EDG and DataTAG Testbeds.
[{'version': 'v1', 'created': 'Fri, 13 Jun 2003 13:00:41 GMT'}]
2007-05-23
[['Bagnasco', 'S.', ''], ['Barbera', 'R.', ''], ['Buncic', 'P.', ''], ['Carminati', 'F.', ''], ['Cerello', 'P.', ''], ['Saiz', 'P.', '']]
2204.04142
Rongjun Qin
Shuang Song and Rongjun Qin
A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing
to be published in ISPRS Congress 2022
null
null
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Recovering surface albedos from photogrammetric images for realistic rendering and synthetic environments can greatly facilitate its downstream applications in VR/AR/MR and digital twins. The textured 3D models from standard photogrammetric pipelines are suboptimal to these applications because these textures are directly derived from images, which intrinsically embedded the spatially and temporally variant environmental lighting information, such as the sun illumination, direction, causing different looks of the surface, making such models less realistic when used in 3D rendering under synthetic lightings. On the other hand, since albedo images are less variable by environmental lighting, it can, in turn, benefit basic photogrammetric processing. In this paper, we attack the problem of albedo recovery for aerial images for the photogrammetric process and demonstrate the benefit of albedo recovery for photogrammetry data processing through enhanced feature matching and dense matching. To this end, we proposed an image formation model with respect to outdoor aerial imagery under natural illumination conditions; we then, derived the inverse model to estimate the albedo by utilizing the typical photogrammetric products as an initial approximation of the geometry. The estimated albedo images are tested in intrinsic image decomposition, relighting, feature matching, and dense matching/point cloud generation results. Both synthetic and real-world experiments have demonstrated that our method outperforms existing methods and can enhance photogrammetric processing.
[{'version': 'v1', 'created': 'Fri, 8 Apr 2022 15:50:52 GMT'}]
2022-04-11
[['Song', 'Shuang', ''], ['Qin', 'Rongjun', '']]
astro-ph/0109545
Beata Malec
Marek Biesiada, Beata Malec (Institute of Physics, University of Silesia)
White dwarf cooling and large extra dimensions
9 pages,LaTeX, new references added. Phys. Rev. D in press
Phys.Rev. D65 (2002) 043008
10.1103/PhysRevD.65.043008
null
astro-ph hep-ph physics.space-ph
null
Theories of fundamental interactions with large extra dimensions have recently become very popular. Astrophysical bounds from the Sun, red-giants and SN1987a have already been derived by other authors for the theory proposed by Arkani-Hamed, Dimopoulos and Dvali. In this paper we consider G117-B15A pulsating white dwarf (ZZ Ceti star) for which the secular rate at which the period of its fundamental mode increases has been accurately measured and claimed that this mode of G117-B15A is perhaps the most stable oscillation ever recorded in the optical band. Because an additional channel of energy loss (Kaluza-Klein gravitons) would speed up the cooling rate, one is able to use the aforementioned stability to derive a bound on theories with large extra dimensions. Within the framework of the theory with large extra dimensions proposed by Arkani-Hamed, Dimopoulos and Dvali we find the lower bound on string comapctification scale which is more stringent than solar or red-giant bounds.
[{'version': 'v1', 'created': 'Fri, 28 Sep 2001 09:58:35 GMT'}, {'version': 'v2', 'created': 'Tue, 18 Dec 2001 09:48:31 GMT'}]
2009-11-07
[['Biesiada', 'Marek', '', 'Institute of Physics, University of\n Silesia'], ['Malec', 'Beata', '', 'Institute of Physics, University of\n Silesia']]
1507.04668
Jiehang Zhang
J. Zhang, M. Tandecki. R. Collister, S. Aubin, J. A. Behr, E. Gomez, G. Gwinner, L. A. Orozco, M. R. Pearson, and G. D. Sprouse
Hyperfine anomalies in Fr: boundaries of the spherical single particle model
null
null
null
null
physics.atom-ph
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
We have measured the hyperfine splitting of the $7P_{1/2}$ state at the 100 ppm level in Fr isotopes ($^{206g,206m, 207, 209, 213, 221}$Fr) near the closed neutron shell ($N$ = 126 in $^{213}$Fr). The measurements in five isotopes and a nuclear isomeric state of francium, combined with previous determinations of the $7S_{1/2}$ splittings, reveal the spatial distribution of the nuclear magnetization, i.e. the Bohr-Weisskopf effect. We compare our results with a simple shell model consisting of unpaired single valence nucleons orbiting a spherical nucleus, and find good agreement over a range of neutron-deficient isotopes ($^{207-213}$Fr). Also, we find near-constant proton anomalies for several even-$ N$ isotopes. This identifies a set of Fr isotopes whose nuclear structure can be understood well enough for the extraction of weak interaction parameters from parity non-conservation studies.
[{'version': 'v1', 'created': 'Thu, 16 Jul 2015 17:44:13 GMT'}]
2015-07-17
[['Zhang', 'J.', ''], ['Collister', 'M. Tandecki. R.', ''], ['Aubin', 'S.', ''], ['Behr', 'J. A.', ''], ['Gomez', 'E.', ''], ['Gwinner', 'G.', ''], ['Orozco', 'L. A.', ''], ['Pearson', 'M. R.', ''], ['Sprouse', 'G. D.', '']]
1905.13291
Karthikeyan Natesan Ramamurthy
Min-hwan Oh and Peder Olsen and Karthikeyan Natesan Ramamurthy
Counting and Segmenting Sorghum Heads
23 pages, 23 figures, 5 tables
null
null
null
cs.CV cs.LG
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Phenotyping is the process of measuring an organism's observable traits. Manual phenotyping of crops is a labor-intensive, time-consuming, costly, and error prone process. Accurate, automated, high-throughput phenotyping can relieve a huge burden in the crop breeding pipeline. In this paper, we propose a scalable, high-throughput approach to automatically count and segment panicles (heads), a key phenotype, from aerial sorghum crop imagery. Our counting approach uses the image density map obtained from dot or region annotation as the target with a novel deep convolutional neural network architecture. We also propose a novel instance segmentation algorithm using the estimated density map, to identify the individual panicles in the presence of occlusion. With real Sorghum aerial images, we obtain a mean absolute error (MAE) of 1.06 for counting which is better than using well-known crowd counting approaches such as CCNN, MCNN and CSRNet models. The instance segmentation model also produces respectable results which will be ultimately useful in reducing the manual annotation workload for future data.
[{'version': 'v1', 'created': 'Thu, 30 May 2019 20:27:26 GMT'}]
2019-06-03
[['Oh', 'Min-hwan', ''], ['Olsen', 'Peder', ''], ['Ramamurthy', 'Karthikeyan Natesan', '']]
1703.04060
Derrick Wing Kwan Ng
Lou Zhao, Derrick Wing Kwan Ng, and Jinhong Yuan
Multi-user Precoding and Channel Estimation for Hybrid Millimeter Wave Systems
15 pages, accepted for publication, JSAC 2017
null
null
null
cs.IT math.IT
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
In this paper, we develop a low-complexity channel estimation for hybrid millimeter wave (mmWave) systems, where the number of radio frequency (RF) chains is much less than the number of antennas equipped at each transceiver. The proposed mmWave channel estimation algorithm first exploits multiple frequency tones to estimate the strongest angle-of-arrivals (AoAs) at both base station (BS) and user sides for the design of analog beamforming matrices. Then all the users transmit orthogonal pilot symbols to the BS along the directions of the estimated strongest AoAs in order to estimate the channel. The estimated channel will be adopted to design the digital zero-forcing (ZF) precoder at the BS for the multi-user downlink transmission. The proposed channel estimation algorithm is applicable to both nonsparse and sparse mmWave channel environments. Furthermore, we derive a tight achievable rate upper bound of the digital ZF precoding with the proposed channel estimation algorithm scheme. Our analytical and simulation results show that the proposed scheme obtains a considerable achievable rate of fully digital systems, where the number of RF chains equipped at each transceiver is equal to the number of antennas. Besides, by taking into account the effect of various types of errors, i.e., random phase errors, transceiver analog beamforming errors, and equivalent channel estimation errors, we derive a closed-form approximation for the achievable rate of the considered scheme. We illustrate the robustness of the proposed channel estimation and multi-user downlink precoding scheme against the system imperfection.
[{'version': 'v1', 'created': 'Sun, 12 Mar 2017 02:27:20 GMT'}]
2017-03-14
[['Zhao', 'Lou', ''], ['Ng', 'Derrick Wing Kwan', ''], ['Yuan', 'Jinhong', '']]
1706.06972
Quanming Yao
Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni
Scalable Online Convolutional Sparse Coding
null
null
10.1109/TIP.2018.2842152
null
cs.CV
http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Convolutional sparse coding (CSC) improves sparse coding by learning a shift-invariant dictionary from the data. However, existing CSC algorithms operate in the batch mode and are expensive, in terms of both space and time, on large datasets. In this paper, we alleviate these problems by using online learning. The key is a reformulation of the CSC objective so that convolution can be handled easily in the frequency domain and much smaller history matrices are needed. We use the alternating direction method of multipliers (ADMM) to solve the resulting optimization problem and the ADMM subproblems have efficient closed-form solutions. Theoretical analysis shows that the learned dictionary converges to a stationary point of the optimization problem. Extensive experiments show that convergence of the proposed method is much faster and its reconstruction performance is also better. Moreover, while existing CSC algorithms can only run on a small number of images, the proposed method can handle at least ten times more images.
[{'version': 'v1', 'created': 'Wed, 21 Jun 2017 15:50:12 GMT'}, {'version': 'v2', 'created': 'Thu, 19 Oct 2017 16:01:12 GMT'}, {'version': 'v3', 'created': 'Thu, 2 Nov 2017 15:55:05 GMT'}]
2018-08-01
[['Wang', 'Yaqing', ''], ['Yao', 'Quanming', ''], ['Kwok', 'James T.', ''], ['Ni', 'Lionel M.', '']]
2210.03248
Andrew Giuliani
Andrew Giuliani, Florian Wechsung, Antoine Cerfon, Matt Landreman, Georg Stadler
Direct stellarator coil optimization for nested magnetic surfaces with precise quasi-symmetry
null
null
null
null
physics.plasm-ph math.OC
http://creativecommons.org/licenses/by/4.0/
We present a robust optimization algorithm for the design of electromagnetic coils that generate vacuum magnetic fields with nested flux surfaces and precise quasi-symmetry. The method is based on a bilevel optimization problem, where the outer coil optimization is constrained by a set of inner least-squares optimization problems whose solutions describe magnetic surfaces. The outer optimization objective targets coils that generate a field with nested magnetic surfaces and good quasi-symmetry. The inner optimization problems identify magnetic surfaces when they exist, and approximate surfaces in the presence of magnetic islands or chaos. We show that this formulation can be used to heal islands and chaos, thus producing coils that result in magnetic fields with precise quasi-symmetry. We show that the method can be initialized with coils from the traditional two stage coil design process, as well as coils from a near axis expansion optimization. We present a numerical example where island chains are healed and quasi-symmetry is optimized up to surfaces with aspect ratio 6. Another numerical example illustrates that the aspect ratio of nested flux surfaces with optimized quasi-symmetry can be decreased from 6 to approximately 4. The last example shows that our approach is robust and a cold-start using coils from a near-axis expansion optimization.
[{'version': 'v1', 'created': 'Thu, 6 Oct 2022 23:20:20 GMT'}, {'version': 'v2', 'created': 'Sat, 14 Jan 2023 20:43:46 GMT'}, {'version': 'v3', 'created': 'Mon, 13 Mar 2023 23:22:52 GMT'}]
2023-03-15
[['Giuliani', 'Andrew', ''], ['Wechsung', 'Florian', ''], ['Cerfon', 'Antoine', ''], ['Landreman', 'Matt', ''], ['Stadler', 'Georg', '']]