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arXiv 2021年

作者： Pleunis, Ziggy Good, Deborah C. Kaspi, Victoria M. McKinven, Ryan Ransom, Scott M. Scholz, Paul Bandura, Kevin Bhardwaj, Mohit Boyle, P.J. Brar, Charanjot Cassanelli, Tomas Chawla, Pragya Dong, Fengqiu Fonseca, Emmanuel Gaensler, B.M. Josephy, Alexander Kaczmarek, Jane F. Leung, Calvin Lin, Hsiu-Hsien Masui, Kiyoshi W. Mena-Parra, Juan Michilli, Daniele Ng, Cherry Patel, Chitrang Rafiei-Ravandi, Masoud Rahman, Mubdi Sanghavi, Pranav Shin, Kaitlyn Smith, Kendrick M. Stairs, Ingrid H. Tendulkar, Shriharsh P. Department of Physics McGill University 3600 rue University MontréalQCH3A 2T8 Canada McGill Space Institute McGill University 3550 rue University MontréalQCH3A 2A7 Canada Dept. of Physics and Astronomy 6224 Agricultural Road VancouverBCV6T 1Z1 Canada Dunlap Institute for Astronomy & Astrophysics University of Toronto 50 St. George Street TorontoONM5S 3H4 Canada David A. Dunlap Department of Astronomy & Astrophysics University of Toronto 50 St. George Street TorontoONM5S 3H4 Canada National Radio Astronomy Observatory 520 Edgemont Rd CharlottesvilleVA22903 United States Lane Department of Computer Science and Electrical Engineering 1220 Evansdale Drive PO Box 6109 MorgantownWV26506 United States Center for Gravitational Waves and Cosmology West Virginia University Chestnut Ridge Research Building MorgantownWV26505 United States National Research Council Canada Herzberg Astronomy and Astrophysics Research Centre Dominion Radio Astrophysical Observatory PO Box 248 PentictonBCV2A 6J9 Canada MIT Kavli Institute for Astrophysics and Space Research Massachusetts Institute of Technology 77 Massachusetts Ave CambridgeMA02139 United States Department of Physics Massachusetts Institute of Technology 77 Massachusetts Ave CambridgeMA02139 United States Canadian Institute for Theoretical Astrophysics 60 St. George Street TorontoONM5S 3H8 Canada Perimeter Institute for Theoretical Physics 31 Caroline Street N WaterlooONN2L 2Y5 Canada Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada Sidrat Research PO Box 73527 RPO Wychwood TorontoONM6C 4A7 Canada Department of Astronomy and Astrophysics Tata Institute of Fundamental Research Mumbai400005 India National Centre for Radio Astrophysics Post Bag 3 Ganeshkhind Pune411007 India

We present a synthesis of fast radio burst (FRB) morphology (the change in flux as a function of time and frequency) as detected in the 400–800MHz octave by the FRB project on the Canadian Hydrogen Intensity Mapping Experiment (CHIME/FRB), using events from the first CHIME/FRB catalog. The catalog consists of 61 bursts from 18 repeating sources, plus 474 one-off FRBs, detected between 2018 July 25 and 2019 July 2. We identify four observed archetypes of burst morphology ("simple broadband," "simple narrowband," "temporally complex" and "downward drifting") and describe relevant instrumental biases that are essential for interpreting the observed morphologies. Using the catalog properties of the FRBs, we confirm that bursts from repeating sources, on average, have larger widths and we show, for the first time, that bursts from repeating sources, on average, are narrower in bandwidth. This difference could be due to a beaming or propagation effects, or it could be intrinsic to the populations. We discuss potential implications of these morphological differences for using FRBs as astrophysical tools. Copyright © 2021, The Authors. All rights reserved.

关键词： Morphology

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Blind stereo image quality assessment inspired by brain sensory-motor fusion

arXiv

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arXiv 2017年

作者： Karimi, Maryam Soltanian, Najmeh Samavi, Shadrokh Karimi, Nader Reza Soroushmehr, S.M. Najarian, Kayvan Department of Electrical Engineering Isfahan University of Technology Isfahan84156-83111 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan84156-83111 McMaster University Hamilton Department of Ece Isfahan University of Technology Dept. of Computational Medicine and Bioinformatics University of Michigan Ann Arbor Michigan Center for Integrative Research in Critical Care Dept. of Computational Medicine and Bioinformatics University of Michigan Ann Arbor

The use of 3D and stereo imaging is rapidly increasing. Compression, transmission, and processing could degrade the quality of stereo images. Quality assessment of such images is different than their 2D counterparts. Metrics that represent 3D perception by human visual system (HVS) are expected to assess stereoscopic quality more accurately. In this paper, inspired by brain sensory/motor fusion process, two stereo images are fused together. Then from every fused image two synthesized images are extracted. Effects of different distortions on statistical distributions of the synthesized images are shown. Based on the observed statistical changes, features are extracted from these synthesized images. These features can reveal type and severity of distortions. Then, a stacked neural network model is proposed, which learns the extracted features and accurately evaluates the quality of stereo images. This model is tested on 3D images of popular databases. Experimental results show the superiority of this method over state of the art stereo image quality assessment approaches. Copyright © 2017, The Authors. All rights reserved.

关键词： Stereo image processing

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Integrating depletion-mode SiC VJFETs into production motor drives

Integrating depletion-mode SiC VJFETs into production motor ...

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2016 International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2016

作者： Mazzola, Michael S. Gafford, James R. Godbold, Gerald W. Dept. of Electrical and Computer Engineering Mississippi State University United States Center for Advanced Vehicular Systems Mississippi State University United States Hyperion Technology Group United States

ISBN: (纸本)9783800741861

A 75-kW three-phase IGBT based motor drive in current production is analyzed and found to have native reliability features similar to that needed to accept normally on SiC JFETs. With modest changes to the OEM drive, vertical-junction SiC JFETs from United Silicon Carbide are successfully integrated into the drive and experimental results show significant improvement in efficiency. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Silicon carbide

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Photonic integrated circuit-based imaging system for SPIDER

Photonic integrated circuit-based imaging system for SPIDER

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Pacific Rim Conference on Lasers and Electro-Optics (CLEO/Pacific Rim)

作者： Katherine Badham Richard L. Kendrick Danielle Wuchenich Chad Ogden Guy Chriqui Alan Duncan Samuel T. Thurman S. J. B. Yoo Tiehui Su Weicheng Lai Jaeyi Chun Siwei Li Guangyao Liu Lockheed Martin Advanced Technology Center Palo Alto CA USA Lockheed Martin Coherent Technologies Louisville CO USA Dept. of Electrical and Computer Engineering University of California at Davis Davis CA USA

ISBN: (纸本)9781509062904

The Lockheed Martin Advanced technology center and the University of California at Davis (UC Davis) has developed an interferometric imaging system based on photonic integrated circuits (PICs). This approach could enable a new hardware architecture with a 10× to 100× reduction in size and weight compared to traditional imaging systems, particularly targeted for space applications. The current PIC design consists of a three-layer system of waveguides, arrayed waveguide gratings (AWGs) and multi-mode interferometers (MMIs) that link 12 interferometric baselines to measure the phase and amplitude of the mutual intensity of an extended object. A series of lenslets couple light into 24 input waveguides on one edge of the PIC. On the opposite side there are 206 interferometer output ports that provide the fringe data for creating images. In this paper we will describe the photonic integrated circuit design and the testbed used to create the first images of extended scenes. We will also summarize the image reconstruction steps and present the final images.

关键词： Optical interferometry Image reconstruction Integrated optics Optical imaging Arrayed waveguide gratings

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Decoupled-dynamics distributed control for strings of nonlinear autonomous agents

Decoupled-dynamics distributed control for strings of nonlin...

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American Control Conference (ACC)

作者： Şerban Săbau Irinel-Constantin Morărescu Lucian Buşoniuz Ali Jadbabaie Electrical and Computer Engineering Dept. Stevens Institute of Technology Hoboken New Jersey U.S.A. CRAN Université de Lorraine Vandœuvre-lès-Nancy France Universitatea Tehnica din Cluj-Napoca Cluj-Napoca RO Sociotechnical Systems Research Center Massachusetts Institute of Technology

We introduce a novel distributed control architecture for a class of nonlinear dynamical agents moving in the “string” formation, while guaranteeing trajectory tracking and collision avoidance. Each autonomous agent uses information and relative measurements only with respect to its predecessor in the string. The performance of the scheme is entirely scalable with respect to the number of agents in formation. The scalability is a consequence of the “decoupling” of a certain bounded approximation of the closed-loop equations, entailing that individual, local analyses of the closed-loops stability at each agent will in turn guarantee the aggregated stability of the entire formation. An efficient, practical method for compensating communications induced delays is also presented.

关键词： Decentralized control Collision avoidance Vehicle dynamics Stability analysis Delays Scalability Trajectory

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DESI Strong Lens Foundry I: HST Observations and Modeling with GIGA-Lens

arXiv

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arXiv 2025年

作者： Huang, X. Baltasar, S. Ratier-Werbin, N. Storfer, C. Sheu, W. Agarwal, S. Tamargo-Arizmendi, M. Schlegel, D.J. Aguilar, J. Ahlen, S. Aldering, G. Banka, S. BenZvi, S. Bianchi, D. Bolton, A. Brooks, D. Cikota, A. Claybaugh, T. de la Macorra, A. Dey, A. Doel, P. Edelstein, J. Filipp, A. Forero-Romero, J.E. Gaztañaga, E. Gontcho, S.A. Gontcho Gu, A. Gutierrez, G. Honscheid, K. Jullo, E. Juneau, S. Kehoe, R. Kirkby, D. Kisner, T. Kremin, A. Kwon, K.J. Lambert, A. Landriau, M. Lang, D. Le Guillou, L. Liu, J. Meisner, A. Miquel, R. Moustakas, J. Myers, A.D. Perlmutter, S. Pérez-Ràfols, I. Prada, F. Rossi, G. Rubin, D. Sanchez, E. Schubnell, M. Shu, Y. Silver, E. Sprayberry, D. Suzuki, N. Tarlé, G. Weaver, B.A. Zou, H. Department of Physics & Astronomy University of San Francisco San FranciscoCA94117 United States Physics Division Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Department of Physics Complutense University of Madrid Madrid28040 Spain Department of Mathematics Complutense University of Madrid Madrid28040 Spain Institute for Astronomy University of Hawai’i HonoluluHI96822-1897 United States Department of Physics & Astronomy University of California Los Angeles Los AngelesCA90095 United States University of Chicago Department of Astronomy ChicagoIL60615 United States Department of Physics & Astronomy University of Pittsburgh PittsburghPA15260 United States Physics Dept. Boston University 590 Commonwealth Avenue BostonMA02215 United States Department of Electrical Engineering & Computer Sciences University of California Berkeley BerkeleyCA94720 United States Department of Physics & Astronomy University of Rochester 206 Bausch and Lomb Hall P.O. Box 270171 RochesterNY14627-0171 United States Dipartimento di Fisica "Aldo Pontremoli" Università degli Studi di Milano Via Celoria 16 MilanoI-20133 Italy NSF’s National Optical-Infrared Astronomy Research Laboratory TucsonAZ85719 United States Department of Physics & Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom Gemini Observatory NSF’s NOIRLab Casilla 603 La Serena Chile Instituto de Física Universidad Nacional Autónoma de México Circuito de la Investigación Científica Ciudad Universitaria Cd. de MéxicoC. P. 04510 Mexico Space Sciences Laboratory University of California Berkeley 7 Gauss Way BerkeleyCA94720 United States Université de Montréal Physics Department 1375 Av. Thérèse-Lavoie-Roux MontréalQCH2V 0B3 Canada Ciela – Montreal Institute for Astrophysical Data Analysis and Machine Learning 1375 Av. Thérèse-Lavoie-Roux MontréalQCH2V 0B3 Canada Technical University Munich TUM School of Natural Sciences

We present the Dark Energy Spectroscopic Instrument (DESI) Strong Lens Foundry. We discovered ∼ 3500 new strong gravitational lens candidates in the DESI Legacy Imaging Surveys using residual neural networks (ResNet). We observed a subset (51) of our candidates using the Hubble Space Telescope (HST). All of them were confirmed to be strong lenses. We also briefly describe spectroscopic follow-up observations by DESI and Keck NIRES programs. From this very rich dataset, a number of studies will be carried out, including evaluating the quality of the ResNet search candidates and lens modeling. In this paper, we present our initial effort in these directions. In particular, as a demonstration, we present the lens model for DESI-165.4754-06.0423, with imaging data from HST, and lens and source redshifts from DESI and Keck NIRES, respectively. In this effort, we have applied a fully forward-modeling Bayesian approach (GIGA-Lens), using multiple GPUs, for the first time in both regards, to a strong lens with HST data, or any high resolution imaging. © 2025, CC BY.

关键词： Dark energy

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Abstracts

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JOURNAL OF SPINAL CORD MEDICINE 2021年第SUPPL 1期44卷 S278-S324页

作者： [Anonymous] Department of Medicine Division of Physical Medicine and Rehabilitation University of Toronto Toronto ON CA KITE - Toronto Rehabilitation Institute University Health Network Toronto ON CA Institute for Health Policy Management and Evaluation University of Toronto Toronto ON CA Rehabilitation Sciences Institute University of Toronto Toronto ON CA Institute of Medical Sciences University of Toronto Toronto ON CA. Rehabilitation Sciences Institute University of Toronto ON CA KITE Research Institute-Toronto Rehab-University Health Network Toronto ON CA Physical Therapy Department University of Toronto ON CA Praxis Spinal Cord Institute Vancouver BC Université de Montréal (École de réadaptation) Montreal QC CA Institut de réadaptation Gingras-Linsay-de-Montréal Montreal QC CA Division of Physical Medicine & Rehabilitation Department of Medicine Faculty of Medicine & Dentistry University of Alberta Edmonton AB CA University of Calgary Calgary AB CA Alberta Health Services Centre for Family Medicine Kitchener ON CA McMaster University Department of Family Medicine Hamilton ON CA Dept. of Physical Therapy University of Toronto Toronto ON CA KITE-University Health Network Toronto ON CA Praxis Spinal Cord Institute Vancouver BC CA Center for Interdisciplinary Research in Rehabilitation and Social Integration (CIRRIS) Quebec City QC CA Dept. of Rehabilitation Laval University Quebec City QC CA Institute of Health Policy Management and Evaluation University of Toronto Toronto ON CA School of Rehabilitation Science University of Saskatchewan Saskatoon SK CA Ontario Neurotrauma Foundation Toronto ON CA Canadian Spinal Research Organization Toronto ON CA CIUSSS du Centre-Sud-de-l ‘Île-de-Montréal (Installation Gingras-Lindsay) Montréal QC CA École de réadaptation Université de Montréal Montréal QC CA First Steps Wellness Centre Regina SK CA Stan Cassidy Centre for Rehabilitation Horizon Health Network Fredericton NB CA Departmen

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Solving most systems of random quadratic equations 17

Solving most systems of random quadratic equations

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Proceedings of the 31st International Conference on Neural Information Processing systems

作者： Gang Wang Georgios B. Giannakis Yousef Saad Jie Chen Key Lab of Intell. Contr. and Decision of Complex Syst. Beijing Inst. of Technology and Digital Tech. Center & Dept. of Electrical and Computer Eng. Univ. of Minnesota Digital Tech. Center & Dept. of Electrical and Computer Eng. Univ. of Minnesota Department of Computer Science and Engineering Univ. of Minnesota Key Lab of Intell. Contr. and Decision of Complex Syst. Beijing Inst. of Technology

ISBN: (纸本)9781510860964

This paper deals with finding an n-dimensional solution x to a system of quadratic equations yi = ||2, 1 ≤ i ≤ m, which in general is known to be NP-hard. We put forth a novel procedure, that starts with a weighted maximal correlation initialization obtainable with a few power iterations, followed by successive refinements based on iteratively reweighted gradient-type iterations. The novel techniques distinguish themselves from prior works by the inclusion of a fresh (re)weighting regularization. For certain random measurement models, the proposed procedure returns the true solution x with high probability in time proportional to reading the data {(ai; yi)]1≤i≤m, provided that the number m of equations is some constant c > 0 times the number n of unknowns, that is, m ≤ cn. Empirically, the upshots of this contribution are: i) perfect signal recovery in the high-dimensional regime given only an information-theoretic limit number of equations; and, ii) (near-)optimal statistical accuracy in the presence of additive noise. Extensive numerical tests using both synthetic data and real images corroborate its improved signal recovery performance and computational efficiency relative to state-of-the-art approaches.

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Bernoulli random forests: Closing the gap between theoretical consistency and empirical soundness 25

Bernoulli random forests: Closing the gap between theoretica...

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25th International Joint Conference on Artificial Intelligence, IJCAI 2016

作者： Yisen, Wang Qingtao, Tang Xia, Shu-Tao Wu, Jia Zhu, Xingquan Dept. of Computer Science and Technology Tsinghua University China Graduate School at Shenzhen Tsinghua University China Quantum Computation and Intelligent Systems Centre University of Technology Sydney Australia Dept. of Computer and Electrical Engineering and Computer Science Florida Atlantic University United States

Random forests are one type of the most effective ensemble learning methods. In spite of their sound empirical performance, the study on their theoretical properties has been left far behind. Recently, several random forests variants with nice theoretical basis have been proposed, but they all suffer from poor empirical performance. In this paper, we propose a Bernoulli random forests model (BRF), which intends to close the gap between the theoretical consistency and the empirical soundness of random forests classification. Compared to Breiman's original random forests, BRF makes two simplifications in tree construction by using two independent Bernoulli distributions. The first Bernoulli distribution is used to control the selection of candidate attributes for each node of the tree, and the second one controls the splitting point used by each node. As a result, BRF enjoys proved theoretical consistency, so its accuracy will converge to optimum (i.e., the Bayes risk) as the training data grow infinitely large. Empirically, BRF demonstrates the best performance among all theoretical random forests, and is very comparable to Breiman's original random forests (which do not have the proved consistency yet). The theoretical and experimental studies advance the research one step further towards closing the gap between the theory and the practical performance of random forests classification.

关键词： Forestry

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Optimal distributed control for platooning via sparse coprime factorizations

Optimal distributed control for platooning via sparse coprim...

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2016 American Control Conference, ACC 2016

作者： SabǍu, Şerban OarǍ, Cristian Warnick, Sean Jadbabaie, Ali Electrical and Computer Engineering Dept. Stevens Institute of Technology HobokenNJ United States Automatic Control Dept. University Politehnica Bucharest Romania Information and Decision Algorithms Laboratories Faculty of the Computer Science Department Brigham Young University United States Electrical and Systems Engineering Dept. University of Pennsylvania United States

ISBN: (纸本)9781467386821

We introduce a novel distributed control architecture for disturbances attenuation in heterogeneous platoons of linear and time-invariant autonomous agents that inherits the performance achievable by the leader-follower control policies. We provide a Youla-like parameterization for the class of all distributed controllers such that the sparsity constraints are imposed on the controllers' left coprime factors, outlining a new concept of structural constraints in distributed control. The proposed scheme lends itself to optimal controller design via norm based costs, it guarantees string stability and completely eliminates the accordion effect from the behavior of the platoon. The distributed controller is proven to attain global optimality for heterogeneous platoons and H2 costs and can easily reconfigure such as to remain optimal during formation merging/exiting maneuvers. The scheme is amenable to a GPS time base synchronization mechanism, allowing for the exact compensation of the time delays induced by the wireless communications. © 2016 American Automatic Control Council (AACC).

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