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P1-559: TOWARD PERCEPTUAL DEEP LEARNING–BASED ABNORMAL BEHAVIOR PATTERN ANALYSIS FOR PATIENTS WITH ALZHEIMER'S DISEASE

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Alzheimer's & Dementia 2018年第7S_PART_10期14卷

作者： Jeonghwan Gwak Jong-In Song Kiseon Kim Moongu Jeon Cheolbin Park Hyunsu Jeong Kyu Yeong Choi Jung Eun Park Jung Sup Lee Byeong Chae Kim Kun Ho Lee Biomedical Research Institute & Department of Radiology Seoul National University Hospital Seoul Republic of South Korea School of Electrical Engineering and Computer Science Gwangju Institute of Science and Technology Gwangju Republic of South Korea Department of Premedics Chosun University Gwangju Republic of South Korea BK21-plus Research Team for Bioactive Control Technology Chosun University Gwangju Republic of South Korea Department of Life Science Chosun University Gwangju Republic of South Korea Department of Biomedical Science Chosun University Gwangju Republic of South Korea National Research Center for Dementia Chosun University Gwangju Republic of South Korea Department of Neurology Chonnam National University Medical School Gwangju Republic of South Korea

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Enhancing quantum control by bootstrapping a quantum processor of 12 qubits

arXiv

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arXiv 2017年

作者： Lu, Dawei Li, Keren Li, Jun Katiyar, Hemant Park, Annie Jihyun Feng, Guanru Xin, Tao Li, Hang Long, Guilu Brodutch, Aharon Baugh, Jonathan Zeng, Bei Laflamme, Raymond Department of Physics Southern University of Science and Technology Shenzhen518055 China Institute for Quantum Computing Department of Physics and Astronomy University of Waterloo WaterlooONN2L 3G1 Canada State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 China Beijing Computational Science Research Center Beijing100193 China Max-Planck-Institutfür Quantenoptik GarchingD-85748 Germany Center for Quantum Information and Quantum Control Department of Physics Department of Electrical and Computer Engineering University of Toronto TorontoONM5S 3H6 Canada Department of Mathematics and Statistics University of Guelph GuelphONN1G 2W1 Canada Perimeter Institute for Theoretical Physics Waterloo ONN2L 2Y5 Canada

Accurate and efficient control of quantum systems is one of the central challenges for quantum information processing. Current state-of-the-art experiments rarely go beyond 10 qubits and in most cases demonstrate only limited control. Here we demonstrate control of a 12-qubit system, and show that the system can be employed as a quantum processor to optimize its own control sequence by using measurement-based feedback control (MQFC). The final product is a control sequence for a complex 12-qubit task: preparation of a 12-coherent state. The control sequence is about 10% more accurate than the one generated by the standard (classical) technique, showing that MQFC can correct for unknown imperfections. Apart from demonstrating a high level of control over a relatively large system, our results show that even at the 12-qubit level, a quantum processor can be a useful lab instrument. As an extension of our work, we propose a method for combining the MQFC technique with a twirling protocol, to optimize the control sequence that produces a desired Clifford gate. Copyright © 2017, The Authors. All rights reserved.

关键词： Quantum optics

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An ultra-high-density 256-channel/25mm2 neural sensing microsystem using TSV-embedded neural probes

An ultra-high-density 256-channel/25mm2 neural sensing micro...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Yu-Chieh Huang Po-Tsang Huang Shang-Lin Wu Yu-Chen Hu Yan-Huei You Ming Chen Yan-Yu Huang Hsiao-Chun Chang Yen-Han Lin Jeng-Ren Duann Tzai-Wen Chiu Wei Hwang Kuan-Neng Chen Ching-Te Chuang Jin-Chern Chiou Institute of Electrical Control Engineering National Chiao Tung University Hsinchu Taiwan Department of Electrical and Computer Engineering National Chiao Tung University Hsinchu Taiwan Department of Electronics Engineering National Chiao Tung University Hsinchu Taiwan National Chiao Tung University Hsinchu TW BME R&D Center China Medical University Taiwan Department of Biological Science and Technology National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)9781479953424

Highly integrated neural sensing microsystems are crucial to capture accurate signals for brain function investigations. In this paper, a 256-channel/25 mm2 neural sensing microsystem is presented based on through-silicon-via (TSV) 2.5D integration. This microsystem composes of dissolvable μ-needles, TSV-embedded μ-probes, 256-channel neural amplifiers, 11-bit area-power-efficient SAR ADCs and serializers. Based on the dissolvable μ-needles and TSV 2.5D integration, this microsystem can detect 256 ECoG/LFP signals within the small area of 5mm × 5mm. Additionally, the neural amplifier realizes 57.8dB gain with only 9.8μW for each channel, and the 9.7-bit ENOB of the SAR ADC at 32kS/s can be achieved with 0.42μW and 0.036 mm2. The overall power of this microsystem is only 3.79mW for 256-channel neural sensing.

关键词： Sensors Through-silicon vias Voltage control Bonding Probes Tuning Power demand

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control on a molecular scale: A perspective

Control on a molecular scale: A perspective

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American control Conference

作者： Rolf Findeisen Martha A. Grover Christian Wagner Michael Maiworm Ruslan Temirov F. Stefan Tautz Murti V. Salapaka Srinivasa Salapaka Richard D. Braatz S.O. Reza Moheimani Otto-von-Guericke-Universit?t Magdeburg Laboratory for Systems Theory and Automatic Control Germany School of Chemical & Biomolecular Engineering Georgia Institute of Technology USA Peter Gruenberg Institute (PGI-3) Juelich Research Center Germany Electrical and Computer Engineering Department University of Minnesota USA Massachusetts Institute of Technology USA Department of Mechanical Engineering The University of Texas at Dalla USA

ISBN: (纸本)9781467386838

Imaging and manipulating objects down to the molecular level plays a crucial role in many disciplines. It allows to unravel molecular phenomena, to form materials with new chemical and physical properties, or to build objects on an atomic scale. Science on the nanoscale is inherently interdisciplinary. It requires knowledge and insight into many fields, spanning from modeling, measuring, imaging, actuation to control. Often feedback control facilitates operation with molecular precision, despite the fact that many physical phenomena at the molecular level are still not well understood, and that stochastic and nonlinear effects are inherently present. This work provides an insight into some of the current control related research activities on a molecular scale. This is done considering examples from different fields: control related to scanning probe microscopy such as atomic force microscopy, controlled self assembly on a molecular scale, control aspects of molecular transport, and the use of control for manipulation of single molecules using macroscopic probe tips. The hope is that control related researchers, who are not experts in these fields, become aware of the opportunities present, which could also drive new theoretical developments.

关键词： computational modeling Mathematical model Force Atomic force microscopy Numerical models computational modeling Atomic Force Microscopy numerical models Mathematical Model Force Standing Orders Scale formation Insight Transport Process Physical Phenomena Scanning Probe Microscopy Hopefulness Research Activities chemical and physical properties feedback control

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Assessment of plant structural characteristics, health, and ecology using bioacoustic tools

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Proceedings of Meetings on Acoustics 2018年第1期33卷

作者： Richard W. Mankin Daniel Stanaland Muhammad Haseeb Barukh Rohde Octavio Menocal Daniel Carrillo 1Center for Med. Agric. Veterinary Entomol. United States Department of Agriculture-ARS Gainesville FL 32607 USA Richard.Mankin@ars.usda.gov 2Center for Biological Control FAMU Tallahassee FL 32307 USA daniel1.stanaland@famu.edu 3FAMU Tallahassee FL 32307 USA muhammad.haseeb@famu.edu 4Electrical and Computer Engineering University of Florida Gainesville FL 32611 USA barukh94-work@*** 5Tropical Research and Education Center University of Florida Homestead FL 33031 USA Omenocal18@ufl.edu dancar@ufl.edu

Plants have responded to abiotic stress and biotic threats with evolutionary adaptations resulting in a variety of plant architectures and cell walls with economically important mechanical properties. Bioacoustic tools have been applied to measure mechanical properties of plant structures, optimize mechanical harvesting, and detect the distribution of root systems, as well as to monitor plant health, photosynthesis, and ecology, and to assess the quality of marketable plant products. In addition, acoustic and vibration sensors are used by entomologists to detect hidden infestations of invasive insect species and to monitor insect movement, feeding, and mating activities on host plants. Reliable identification and interpretation of insect-produced sounds and vibrations on and within plants is complicated by physical processes that filter and distort vibrations as they pass through and reflect from different plant structures and the air. This report considers the use of bioacoustic tools to analyze plant health and structural characteristics, and then discusses how combinations of spectral-, temporal-, and spatial-distribution features of signals detected in plants can be interpreted in ways that properly account for plant structural vibrational filtering and distortion processes and enable reliable assessment of hidden pest infestations, including invasive insect species of importance for plant biosecurity.

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26th Annual computational Neuroscience Meeting (CNS*2017) of the Organization for computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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The Curse of Dimensionality and Variable Selection in Nonlinear Non-parametric System Identification

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IFAC-PapersOnLine 2015年第28期48卷 1279-1284页

作者： Bai, Er-Wei Zhao, Wenxiao Zheng, Wei Xing University of Iowa Department of Electrical and Computer Engineering Iowa52242 United States School of Electronics Electrical Engineering and Computer Science Queens University Belfast United Kingdom Key Laboratory of Systems and Control Academy of Mathematics and Systems Science National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of Sciences Queens University Beijing China School of Computing Engineering and Mathematics University of Western Sydney Chinese Academy of Sciences PenrithNSW2751 Australia

The problem of variable selection in system identification of a high dimensional nonlinear non-parametric system is described. The inherent difficulty, the curse of dimensionality, is introduced. Some recent results of variable selection in system identification are presented. Finally, a simulation example is given to justify the theoretical results. © 2015

关键词： Parameter estimation Religious buildings Curse of dimensionality High dimensional Non parametric Simulation example Variable selection

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A mean field equilibrium for a model of interbank lending

A mean field equilibrium for a model of interbank lending

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2015 American control Conference, ACC 2015

作者： Balandat, Maximilian Tkachev, Ilya Abate, Alessandro Tomlin, Claire J. Department of Electrical Engineering and Computer Sciences University of California Berkeley United States Delft Center for Systems and Control TU Delft Delft Netherlands Department of Computer Science University of Oxford Oxford United Kingdom

ISBN: (纸本)9781479986842

We study the formation of short-term interest rates in the interbank lending market where banks are modeled as agents with bounded rationality. We propose a novel model which is based on bilateral contracts between risk-neutral profit-maximizing agents. To render the model tractable for large financial networks, we assume that banks' beliefs about the borrowing alternatives in the market are governed by a common reference interest rate, which is a function of the rates offered in the bilateral contracts. We show how this reference rate can be determined endogenously from a suitable mean field equilibrium and provide sufficient conditions for the existence of such an equilibrium together with an algorithm to compute it. Using simulation, we study the dependence of the equilibrium on the model parameters. © 2015 American Automatic control Council.

关键词： Finance

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Challenging local realism with human choices

arXiv

引用

arXiv 2018年

作者： Abellán, C. Acín, A. Alarcón, A. Alibart, O. Andersen, C.K. Andreoli, F. Beckert, A. Beduini, F.A. Bendersky, A. Bentivegna, M. Bierhorst, P. Burchardt, D. Cabello, A. Cariñe, J. Carrasco, S. Carvacho, G. Cavalcanti, D. Chaves, R. Cortés-Vega, J. Cuevas, A. Delgado, A. de Riedmatten, H. Eichler, C. Farrera, P. Fuenzalida, J. García-Matos, M. Garthoff, R. Gasparinetti, S. Gerrits, T. GhafariJouneghani, F. Glancy, S. Gómez, E.S. González, P. Guan, J.-Y. Handsteiner, J. Heinsoo, J. Heinze, G. Hirschmann, A. Jiménez, O. Kaiser, F. Knill, E. Knoll, L.T. Krinner, S. Kurpiers, P. Larotonda, M.A. Larsson, J.-Å. Lenhard, A. Li, H. Li, M.-H. Lima, G. Liu, B. Liu, Y. López Grande, I.H. Lunghi, T. Ma, X. Magaña-Loaiza, O.S. Magnard, P. Magnoni, A. Martí-Prieto, M. Martínez, D. Mataloni, P. Mattar, A. Mazzera, M. Mirin, R.P. Mitchell, M.W. Nam, S. Oppliger, M. Pan, J.-W. Patel, R.B. Pryde, G.J. Rauch, D. Redeker, K. Rieländer, D. Ringbauer, M. Roberson, T. Rosenfeld, W. Salathé, Y. Santodonato, L. Sauder, G. Scheidl, T. Schmiegelow, C.T. Sciarrino, F. Seri, A. Shalm, L.K. Shi, S.-C. Slussarenko, S. Stevens, M.J. Tanzilli, S. Toledo, F. Tura, J. Ursin, R. Vergyris, P. Verma, V.B. Walter, T. Wallraff, A. Wang, Z. Weinfurter, H. Weston, M.M. White, A.G. Wu, C. Xavier, G.B. You, L. Yuan, X. Zeilinger, A. Zhang, Q. Zhang, W. Zhong, J. 08860 Spain ICREA Institució Catalana de Recerca i Estudis Avançats Barcelona08010 Spain Center for Optics and Photonics MSI-Nucleus for Advanced Optics Universidad de Concepción Casilla 4016 Concepción Chile Departamento de Ingeniería Eléctrica Universidad de Concepción 160-C Concepción Chile Parc Valrose Nice Cedex 206108 France Quantum Device Lab Department of Physics ETH Zurich ZurichCH-8093 Switzerland Dipartimento di Fisica Sapienza Università di Roma RomaI-00185 Italy Departamento de Computación FCEyN UBA and ICC CONICET Ciudad Universitaria Pabellón 1 Buenos Aires1428 Argentina National Institute of Standards and Technology 325 Broadway BoulderCO80305 United States Ludwig-Maximilians-Universität München80799 Germany Departamento de Física Aplicada II Universidad de Sevilla Sevilla41012 Spain Departamento de Física Universidad de Concepción 160-C Concepción Chile International Institute of Physics Federal University of Rio Grande do Norte Natal59070-405 Brazil Austrian Academy of Sciences Boltzmanngasse 3 Vienna1090 Austria Centre for Quantum Computation and Communication Technology Griffith University BrisbaneQLD4111 Australia Centre for Quantum Dynamics Griffith University BrisbaneQLD4111 Australia Shanghai Branch National Laboratory for Physical Sciences at Microscale Dept. of Modern Physics University of Science and Technology of China Shanghai230026 China DEILAP CITEDEF & CONICET J.B. de La Salle 4397 1603 Villa Martelli Buenos Aires Argentina Departamento de Física FCEyN UBA and IFIBA Ciudad Universitaria Conicet Pabellón 1 Buenos Aires1428 Argentina Department of Electrical Engineering Linköping University Linköping581 83 Sweden State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China CAS Center for Excellence in Superconducting Electronics Shanghai200050 China School of Computer NUDT

A Bell test is a randomized trial that compares experimental observations against the philosophical worldview of local realism1, in which the properties of the physical world are independent of our observation of them and no signal travels faster than light. A Bell test requires spatially distributed entanglement, fast and high-efficiency detection and unpredictable measurement settings2,3. Although technology can satisfy the first two of these requirements4–7, the use of physical devices to choose settings in a Bell test involves making assumptions about the physics that one aims to test. Bell himself noted this weakness in using physical setting choices and argued that human ‘free will’ could be used rigorously to ensure unpredictability in Bell tests8. Here we report a set of local-realism tests using human choices, which avoids assumptions about predictability in physics. We recruited about 100,000 human participants to play an online video game that incentivizes fast, sustained input of unpredictable selections and illustrates Bell-test methodology9. The participants generated 97,347,490 binary choices, which were directed via a scalable web platform to 12 laboratories on five continents, where 13 experiments tested local realism using photons5,6, single atoms7, atomic ensembles10, and superconducting devices11. Over a 12-hour period on 30 November 2016, participants worldwide provided a sustained data flow of over 1,000 bits per second to the experiments, which used different human-generated data to choose each measurement setting. The observed correlations strongly contradict local realism and other realistic positions in bipartite and tripartite12 scenarios. Project outcomes include closing the ‘freedom-of-choice loophole’ (the possibility that the setting choices are influenced by ‘hidden variables’ to correlate with the particle properties13), the utilization of video-game methods14 for rapid collection of human generated randomness, and the use of network

关键词： Testing

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