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arXiv 2017年

作者： Shulkind, Gal Horesh, Lior Avron, Haim Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Quantum Computing IBM TJ Watson Research Center Yorktown HeightsNY United States Department of Applied Mathematics Tel Aviv University Israel

We consider a class of misspecified dynamical models where the governing term is only approximately known. Under the assumption that observations of the system’s evolution are accessible for various initial conditions, our goal is to infer a non-parametric correction to the misspecified driving term such as to faithfully represent the system dynamics and devise system evolution predictions for unobserved initial conditions. We model the unknown correction term as a Gaussian Process and analyze the problem of efficient experimental design to find an optimal correction term under constraints such as a limited experimental budget. We suggest a novel formulation for experimental design for this Gaussian Process and show that approximately optimal (up to a constant factor) designs may be efficiently derived by utilizing results from the literature on submodular optimization. Our numerical experiments exemplify the effectiveness of these techniques.62K05, 37M05, 62G08, 68T05 Copyright © 2017, The Authors. All rights reserved.

关键词： Dynamical systems

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An arm length stabilization system for KAGRA and future gravitational-wave detectors

arXiv

引用

arXiv 2019年

作者： Akutsu, T. Ando, M. Arai, K. Arai, K. Arai, Y. Araki, S. Araya, A. Aritomi, N. Aso, Y. Bae, S. Bae, Y. Baiotti, L. Bajpai, R. Barton, M.A. Cannon, K. Capocasa, E. Chan, M. Chen, C. Chen, K. Chen, Y. Chu, H. Chu, Y.-K. Doi, K. Eguchi, S. Enomoto, Y. Flaminio, R. Fujii, Y. Fukunaga, M. Fukushima, M. Ge, G. Hagiwara, A. Haino, S. Hasegawa, K. Hayakawa, H. Hayama, K. Himemoto, Y. Hiranuma, Y. Hirata, N. Hirose, E. Hong, Z. Hsieh, B.H. Huang, G.-Z. Huang, P. Huang, Y. Ikenoue, B. Imam, S. Inayoshi, K. Inoue, Y. Ioka, K. Itoh, Y. Izumi, K. Jung, K. Jung, P. Kajita, T. Kamiizumi, M. Kanbara, S. Kanda, N. Kang, G. Kawaguchi, K. Kawai, N. Kawasaki, T. Kim, C. Kim, J.C. Kim, W.S. Kim, Y.-M. Kimura, N. Kita, N. Kitazawa, H. Kojima, Y. Kokeyama, K. Komori, K. Kong, A.K.H. Kotake, K. Kozakai, C. Kozu, R. Kumar, R. Kume, J. Kuo, C. Kuo, H.-S. Kuroyanagi, S. Kusayanagi, K. Kwak, K. Lee, H.K. Lee, H.W. Lee, R. Leonardi, M. Lin, L.C.-C. Lin, C.-Y. Lin, F.-L. Liu, G.C. Luo, L.-W. Marchio, M. Michimura, Y. Mio, N. Miyakawa, O. Miyamoto, A. Miyazaki, Y. Miyo, K. Miyoki, S. Morisaki, S. Moriwaki, Y. Musha, M. Nagano, K. Nagano, S. Nakamura, K. Nakano, H. Nakano, M. Nakashima, R. Narikawa, T. Negishi, R. Ni, W.-T. Nishizawa, A. Obuchi, Y. Ogaki, W. Oh, J.J. Oh, S.H. Ohashi, M. Ohishi, N. Ohkawa, M. Ohmae, N. Okutomi, K. Oohara, K. Ooi, C.P. Oshino, S. Pan, K. Pang, H. Park, J. Peña Arellano, F.E. Pinto, I. Sago, N. Saito, S. Saito, Y. Sakai, K. Sakai, Y. Sakuno, Y. Sato, S. Sato, T. Sawada, T. Sekiguchi, T. Sekiguchi, Y. Shibagaki, S. Shimizu, R. Shimoda, T. Shimode, K. Shinkai, H. Shishido, T. Shoda, A. Somiya, K. Son, E.J. Sotani, H. Sugimoto, R. Suzuki, T. Suzuki, T. Tagoshi, H. Takahashi, H. Takahashi, R. Takamori, A. Takano, S. Takeda, H. Takeda, M. Tanaka, H. Tanaka, K. Tanaka, K. Tanaka, T. Tanaka, T. Tanioka, S. San Martin, E.N. Tapia Mitaka City Tokyo181-8588 Japan Japan Department of Physics University of Tokyo Bunkyo-ku Tokyo113-0033 Japan University of Tokyo Bunkyo-ku Tokyo113-0033 Japan California Institute of Technology PasadenaCA91125 United States KAGRA Observatory University of Tokyo Kashiwa CityChiba277-8582 Japan Tsukuba CityIbaraki305-0801 Japan Earthquake Research Institute University of Tokyo Bunkyo-ku Tokyo113-0032 Japan Kamioka-cho Hida City Gifu506-1205 Japan Mitaka City Tokyo181-8588 Japan Yuseong-gu Daejeon34141 Korea Republic of National Institute for Mathematical Sciences Daejeon34047 Korea Republic of Department of Earth and Space Science Graduate School of Science Osaka University Toyonaka CityOsaka560-0043 Japan Tsukuba CityIbaraki305-0801 Japan Department of Applied Physics Fukuoka University Jonan Fukuoka CityFukuoka814-0180 Japan Department of Physics Tamkang University Danshui Dist. New Taipei City25137 Taiwan Department of Physics and Institute of Astronomy National Tsing Hua University Hsinchu30013 Taiwan Department of Physics Center for High Energy and High Field Physics National Central University Zhongli District Taoyuan City32001 Taiwan Institute of Physics Academia Sinica Nankang Taipei11529 Taiwan Department of Physics University of Toyama Toyama CityToyama930-8555 Japan Université Savoie Mont Blanc CNRS/IN2P3 AnnecyF-74941 France Department of Astronomy University of Tokyo Mitaka City Tokyo181-8588 Japan Chinese Academy of Sciences Xiaohongshan Wuhan430071 China Tsukuba CityIbaraki305-0801 Japan KAGRA Observatory University of Tokyo Kamioka-cho Hida City Gifu506-1205 Japan College of Industrial Technology Nihon University Narashino CityChiba275-8575 Japan Graduate School of Science and Technology Niigata University Nishi-ku Niigata City Niigata950-2181 Japan Department of Physics National Taiwan Normal University Taipei116 Taiwan University of Tokyo Kashiwa Ci

Modern ground-based gravitational wave (GW) detectors require a complex interferometer configuration with multiple coupled optical cavities. Since achieving the resonances of the arm cavities is the most challenging among the lock acquisition processes, the scheme called arm length stabilization (ALS) had been employed for lock acquisition of the arm cavities. We designed a new type of the ALS, which is compatible with the interferometers having long arms like the next generation GW detectors. The features of the new ALS are that the control configuration is simpler than those of previous ones and that it is not necessary to lay optical fibers for the ALS along the kilometer-long arms of the detector. Along with simulations of its noise performance, an experimental test of the new ALS was performed utilizing a single arm cavity of KAGRA. This paper presents the first results of the test where we demonstrated that lock acquisition of the arm cavity was achieved using the new ALS. We also demonstrated that the root mean square of residual noise was measured to be 8.2 Hz in units of frequency, which is smaller than the linewidth of the arm cavity and thus low enough to lock the full interferometer of KAGRA in a repeatable and reliable manner. Copyright © 2019, The Authors. All rights reserved.

关键词： Interferometers

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Unveiling the role of Co-O-Mg bond in magnetic anisotropy of Pt/Co/MgO using atomically controlled deposition and in situ electrical measurement

引用

Physical Review B 2017年第9期95卷 094417-094417页

作者： Yumeng Yang Jiaren Yuan Long Qi Ying Wang Yanjun Xu Xiaowei Wang Yuanping Feng Baoxi Xu Lei Shen Yihong Wu Department of Electrical and Computer Engineering National University of Singapore 4 Engineering Drive 3 Singapore 117583 Singapore College of Science Nanjing University of Aeronautics and Astronautics Nanjing 210016 People's Republic of China Department of Physics Centre for Advanced Two-dimensional Materials National University of Singapore Singapore 117542 Singapore Data Storage Institute Agency for Science Technology and Research (A*STAR) 2 Fusionopolis Way 08-01 Innovis Singapore 138634 Singapore Department of Mechanical Engineering Engineering Science Programme Faculty of Engineering National University of Singapore Singapore 117575 Singapore

Despite the crucial role of interfacial perpendicular magnetic anisotropy in a Co(Fe)/MgO-based magnetic tunnel junction, the underlying mechanism is still being debated. Here, we report an anatomical study of the oxygen and Mg effect on Pt/Co bilayers through repeated in situ anomalous Hall effect measurements, controlled oxygen exposure, and Mg deposition in an ultrahigh vacuum system. We found that chemisorbed oxygen not only quenches the effective magnetic moment of the Co surface layer, but also softens its magnetic anisotropy. However, a subsequent Mg dusting on the oxygen preexposed Pt/Co surface can recover the magnetic anisotropy. The ab initio calculations on the exchange splitting and orbital hybridization near the Fermi level give a clear physical explanation of the experimental observations. Our results suggest that the Co(Fe)-O-M bond plays a more important role than the widely perceived Co(Fe)-O bond does in realizing interfacial perpendicular magnetic anisotropy in Co(Fe)/MgO heterostructures.

关键词： Magnetic anisotropy Spintronics Ab initio calculations

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Enhancement and Analysis of Conversational Speech: JSALT 2017

Enhancement and Analysis of Conversational Speech: JSALT 201...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Neville Ryanta Elika Bergelson Kenneth Church Alejandrina Cristia Jun Du Sriram Ganapathy Sanjeev Khudanpur Diana Kowalski Mahesh Krishnamoorthy Rajat Kulshreshta Mark Liberman Yu-Ding Lu Matthew Maciejewski Florian Metze Jan Profant Lei Sun Yu Tsao Zhou Yu Linguistic Data Consortium University of Pennsylvania Philadelphia PA USA Department of Psychology and Neuroscience Duke University Durham NC USA IBM Yorktown Heights NY USA Laboratoire de Sciences Cognitives et Psycholinguistique ENS Paris France University of Science and Technology of China Hefei China Electrical Engineering Department Indian Institute of Science Bangalore India Center for Language and Speech Processing Johns Hopkins University Baltimore MD USA University of Illinois at Urbana-Champaign Champaign IL USA Apple Cupertino CA USA Language Technologies Institute Carnegie Mellon University Pittsburgh PA USA Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Brno University of Technology Brno Czech Republic Department of Computer Science University of California Davis Davis CA USA

ISBN: (纸本)9781538646595

Automatic speech recognition is more and more widely and effectively used. Nevertheless, in some automatic speech analysis tasks the state of the art is surprisingly poor. One of these is "diarization", the task of determining who spoke when. Diarization is key to processing meeting audio and clinical interviews, extended recordings such as police body cam or child language acquisition data, and any other speech data involving multiple speakers whose voices are not cleanly separated into individual channels. Overlapping speech, environmental noise and suboptimal recording techniques make the problem harder. During the JSALT Summer Workshop at CMU in 2017, an international team of researchers worked on several aspects of this problem, including calibration of the state of the art, detection of overlaps, enhancement of noisy recordings, and classification of shorter speech segments. This paper sketches the workshop's results, and announces plans for a "Diarization Challenge" to encourage further progress.

关键词： diarization overlap detection speech enhancement automatic speech recognition Speech recognition Speech enhancement Speech state of the art monuron Recordings

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Electrolyte‐Gated Transistors: Ink‐Jet Printable, Self‐Assembled, and Chemically Crosslinked Ion‐Gel as Electrolyte for Thin Film, Printable Transistors (Adv. Mater. Interfaces 21/2019)

引用

Advanced Materials Interfaces 2019年第21期6卷

作者： Jaehoon Jeong Gabriel Cadilha Marques Xiaowei Feng Dominic Boll Surya Abhishek Singaraju Jasmin Aghassi‐Hagmann Horst Hahn Ben Breitung Institute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) 76344 Eggenstein‐Leopoldshafen Germany Joint Research Laboratory Nanomaterials ‐ Technische Universität Darmstadt and Karlsruhe Institute of Technology (KIT) Otto‐Berndt‐Str. 3 64206 Darmstadt Germany Chair of Dependable Nano Computing (CDNC) Department of Computer Science (ITEC) Karlsruhe Institute of Technology (KIT) 76131 Karlsruhe Germany Department of Electrical Engineering and Information Technology Offenburg University of Applied Sciences 77652 Offenburg Germany Helmholtz Institute Ulm for Electrochemical Energy Storage Helmholtzstr. 11 89081 Ulm Germany Karlsruhe Nano Micro Facility Karlsruhe Institute of Technology Hermann‐von‐Helmholtz‐Platz 1 76344 Eggenstein‐Leopoldshafen Germany

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Preface

Advances in Intelligent Systems and Computing

引用

Advances in Intelligent Systems and computing 2018年 620卷 v-vi页

作者： Omatu, Sigeru Rodríguez, Sara Villarrubia, Gabriel Faria, Pedro Sitek, Pawel Prieto, Javier Faculty of Engineering Department of Electronics Information and Communication Engineering Osaka Institute of Technology OsakaOsaka Japan Faculty of Science Department of Computer Science and Automation Control University of Salamanca Salamanca Spain GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development Instituto Superior de Engenharia do Porto Porto Portugal Faculty of Electrical Engineering and Computer Science Department of Control and Management Systems Department of Information Systems Kielce University of Technology Kielce Poland

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Author Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

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Scientific data 2021年第1期8卷 242页

作者： Julien Cohen-Adad Eva Alonso-Ortiz Mihael Abramovic Carina Arneitz Nicole Atcheson Laura Barlow Robert L Barry Markus Barth Marco Battiston Christian Büchel Matthew Budde Virginie Callot Anna J E Combes Benjamin De Leener Maxime Descoteaux Paulo Loureiro de Sousa Marek Dostál Julien Doyon Adam Dvorak Falk Eippert Karla R Epperson Kevin S Epperson Patrick Freund Jürgen Finsterbusch Alexandru Foias Michela Fratini Issei Fukunaga Claudia A M Gandini Wheeler-Kingshott Giancarlo Germani Guillaume Gilbert Federico Giove Charley Gros Francesco Grussu Akifumi Hagiwara Pierre-Gilles Henry Tomáš Horák Masaaki Hori James Joers Kouhei Kamiya Haleh Karbasforoushan Miloš Keřkovský Ali Khatibi Joo-Won Kim Nawal Kinany Hagen H Kitzler Shannon Kolind Yazhuo Kong Petr Kudlička Paul Kuntke Nyoman D Kurniawan Slawomir Kusmia René Labounek Maria Marcella Laganà Cornelia Laule Christine S Law Christophe Lenglet Tobias Leutritz Yaou Liu Sara Llufriu Sean Mackey Eloy Martinez-Heras Loan Mattera Igor Nestrasil Kristin P O'Grady Nico Papinutto Daniel Papp Deborah Pareto Todd B Parrish Anna Pichiecchio Ferran Prados Àlex Rovira Marc J Ruitenberg Rebecca S Samson Giovanni Savini Maryam Seif Alan C Seifert Alex K Smith Seth A Smith Zachary A Smith Elisabeth Solana Y Suzuki George Tackley Alexandra Tinnermann Jan Valošek Dimitri Van De Ville Marios C Yiannakas Kenneth A Weber Ii Nikolaus Weiskopf Richard G Wise Patrik O Wyss Junqian Xu NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. jcohen@polymtl.ca. Functional Neuroimaging Unit CRIUGM Université de Montréal Montreal QC Canada. jcohen@polymtl.ca. Mila - Quebec AI Institute Montreal QC Canada. jcohen@polymtl.ca. NeuroPoly Lab Institute of Biomedical Engineering Polytechnique Montreal Montreal QC Canada. Department of Radiology Swiss Paraplegic Centre Nottwil Switzerland. Centre for Advanced Imaging The University of Queensland Brisbane Australia. Department of Radiology University of British Columbia Vancouver BC Canada. Athinoula A. Martinos Center for Biomedical Imaging Department of Radiology Massachusetts General Hospital Charlestown MA USA. Department of Radiology Harvard Medical School Boston MA USA. Harvard-Massachusetts Institute of Technology Health Sciences & Technology Cambridge MA USA. School of Information Technology and Electrical Engineering The University of Queensland Brisbane Australia. NMR Research Unit Queen Square MS Centre UCL Queen Square Institute of Neurology Faculty of Brain Sciences University College London London UK. Department of Systems Neuroscience University Medical Center Hamburg-Eppendorf Hamburg Germany. Department of Neurosurgery Medical College of Wisconsin Milwaukee WI USA. Aix-Marseille Univ CNRS CRMBM Marseille France. APHM Hopital Universitaire Timone CEMEREM Marseille France. Vanderbilt University Institute of Imaging Science Vanderbilt University Medical Center Nashville TN USA. Department of Computer and Software Engineering Polytechnique Montreal Montreal Canada. CHU Sainte-Justine Research Centre Montreal QC Canada. Centre de Recherche CHUS CIMS Sherbrooke Canada. Sherbrooke Connectivity Imaging Lab (SCIL) Computer Science department Université de Sherbrooke Sherbrooke Canada. Université de Strasbourg CNRS ICube Strasbourg France. UHB - University Hospital Brno and Masaryk University Department of Radiology and Nuclear

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Dimensionality-driven orthorhombic MoTe2 at room temperature

引用

Physical Review B 2018年第4期97卷 041410(R)-041410(R)页

作者： Rui He Shazhou Zhong Hyun Ho Kim Gaihua Ye Zhipeng Ye Logan Winford Daniel McHaffie Ivana Rilak Fangchu Chen Xuan Luo Yuping Sun Adam W. Tsen Department of Electrical and Computer Engineering Texas Tech University Lubbock Texas 79409 USA Department of Physics University of Northern Iowa Cedar Falls Iowa 50614 USA Institute for Quantum Computing University of Waterloo Waterloo Ontario Canada N2L 3G1 Department of Physics and Astronomy University of Waterloo Waterloo Ontario Canada N2L 3G1 Department of Chemistry University of Waterloo Waterloo Ontario Canada N2L 3G1 Key Laboratory of Materials Physics Institute of Solid State Physics Chinese Academy of Sciences Hefei 230031 People's Republic of China University of Science and Technology of China Hefei 230026 China High Magnetic Field Laboratory Chinese Academy of Sciences Hefei 230031 People's Republic of China Collaborative Innovation Centre of Advanced Microstructures Nanjing University Nanjing 210093 People's Republic of China

We use a combination of Raman spectroscopy and transport measurements to study thin flakes of the type-II Weyl semimetal candidate MoTe2 protected from oxidation. In contrast to bulk crystals, which undergo a phase transition from monoclinic to the inversion symmetry breaking, orthorhombic phase below ∼250K, we find that in moderately thin samples below ∼12nm, a single orthorhombic phase exists up to and beyond room temperature. This could be due to the effect of c-axis confinement, which lowers the energy of an out-of-plane hole band and stabilizes the orthorhombic structure. Our results suggest that Weyl nodes, predicated upon inversion symmetry breaking, may be observed in thin MoTe2 at room temperature.

关键词： Phase transitions Structural properties Topological materials Transition metal dichalcogenides Weyl semimetal Raman spectroscopy

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Spectral Structure of Elastic Neumann–Poincaré Operators

引用

Journal of Physics: Conference Series 2018年第1期965卷

作者： Yoshihisa Miyanishi Kazunori Ando Hyeonbae Kang Center for Mathematical Modeling and Data Science Osaka University Osaka 560-8631 Japan Department of Electrical and Electronic Engineering and Computer Science Ehime University Ehime 790-8577 Japan Department of Mathematics and Institute of Applied Mathematics Inha University Incheon 22212 S. Korea

In [1, 2], it is proved that the elastic Neumann–Poincaré operator defined on the smooth boundary of a bounded domain, which is known to be non-compact, is in fact polynomially compact. As a consequence, it is shown that the spectrum of the elastic Neumann-Poincaré operator consists of non-empty sets of eigenvalues accumulating to certain numbers determined by Lamé parameters. The purpose of this paper is to review these results and their proofs, and to discuss about some questions related to these results.

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Mathematics of deep learning

arXiv

引用

arXiv 2017年

作者： Vidal, René Bruna, Joan Giryes, Raja Soatto, Stefano Center for Imaging Science Biomedical Engineering Johns Hopkins University Baltimore United States Courant Institute of Mathematical Sciences Center for Data Science New York University United States School of Electrical Engineering Tel-Aviv University Tel Aviv Israel Department of Computer Science University of California Los Angeles United States

Recently there has been a dramatic increase in the performance of recognition systems due to the introduction of deep architectures for representation learning and classification. However, the mathematical reasons for this success remain elusive. This tutorial will review recent work that aims to provide a mathematical justification for several properties of deep networks, such as global optimality, geometric stability, and invariance of the learned representations. Copyright © 2017, The Authors. All rights reserved.

关键词： Deep learning

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