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18th Eurographics/IEEE VGTC Conference on Visualization, EuroVis 2016

作者： Zhang, Guohao Kochunov, Peter Hong, Elliot Carr, Hamish Chen, Jian Department of Computer Science and Electrical Engineering University of Maryland Baltimore County United States Center for Brain Imagining Research Maryland Psychiatric Research Center United States Institute for Computation and System Science University of Leeds United Kingdom

ISBN: (纸本)9783038680147

We present a visualization prototype for comparative analysis of factional anisotropy (FA) distributions constructed from three-dimensional (3D) brain diffusion tensor imaging (DTI) in brain cohorts. The prototype lets brain scientists examine meta-analysis (the pooled analysis of multiple smaller trials or multi-site studies) results for identifying differences in cohorts. Interactive side-by-side bar charts show multiple statistical results of FA comparisons in regions of interest (ROIs) defined by user-chosen atlas. An occlusion-free two-dimensional (2D) semantic merge tree further displays the global distribution of FA values. Two histograms on each tree arc reveal voxel-based FA distributions represented by that arc branch in cohorts. Interaction techniques support brushing-and-linking of local and global ROIs queries. ROIs can be defined from atlas or select through interaction. We report validation results in a case study and an interview. © 2016 The Author(s) Eurographics Proceedings © 2016 The Eurographics Association.

关键词： Diffusion tensor imaging

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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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2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016

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

ISBN: (纸本)9781479953400

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. © 2016 IEEE.

关键词： Microsystems

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3D Mesostructures: Fabrication and Deformation of 3D Multilayered Kirigami Microstructures (Small 11/2018)

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Small 2018年第11期14卷

作者： Mohammad Humood Yan Shi Mengdi Han Joseph Lefebvre Zheng Yan Matt Pharr Yihui Zhang Yonggang Huang John A. Rogers Andreas A. Polycarpou Department of Mechanical Engineering College of Engineering Texas A&M University College Station TX 77843-3123 USA State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing 210016 P. R. China Center for Mechanics and Materials and Center for Flexible Electronics Technology AML Department of Engineering Mechanics Tsinghua University Beijing 100084 P. R. China Department of Materials Science and Engineering Fredrick Seitz Materials Research Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA Bruker Nano Surfaces Eden Prairie MN 55344 USA Department of Chemical Engineering and Department of Mechanical and Aerospace Engineering University of Missouri Columbia MI 65211 USA Departments of Mechanical Engineering and Civil and Environmental Engineering Northwestern University Evanston IL 60208 USA Department of Biomedical Engineering Department of Chemistry Department of Mechanical Engineering Department of Electrical Engineering and Department of Computer Science Center for Bio-Integrated Electronics Simpson Querrey Institute for Nano/Biotechnology Northwestern University Evanston IL 60208 USA

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An event-triggered consensus approach for distributed clock synchronization

An event-triggered consensus approach for distributed clock ...

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American control Conference

作者： Eloy Garcia Shaoshuai Mou Yongcan Cao David W. Casbeer Control Science Center of Excellence Air Force Research Laboratory WPAFB OH 45433 United States of America School of Aeronautics and Astronautics Purdue University West Lafayette IN 47907 United States of America Department of Electrical and Computer Engineering University of Texas at San Antonio 78249 United States of America

ISBN: (纸本)9781509045839

Distributed clock synchronization with intermittent communication is addressed in this paper. An event-triggered control and communication approach is presented in order to determine in a decentralized way the time instants at which each agent transmits information. The decentralized event-triggered synchronization of clocks is formulated as a single integrator consensus problem in the particular case and as double integrator consensus problem in the general case. The main contribution of this paper, besides the implementation of event-triggered mechanisms, is the feature that the virtual clocks are continuous. This is an important property because of the processes associated to each local clock, where missing deadlines or performing time dependent tasks more than once needs to be avoided.

关键词： clock recovery Event trigger local clock Timing devices integrators

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A Data Driven Approach for Resting-state EEG signal Classificition of Schizophrenia with control Participants Using Random Matrix Theory

arXiv

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arXiv 2017年

作者： Liu, Haichun Zhang, TianHong Ye, Yumeng Pan, Changchun Yang, Genke Wang, JiJun Qiu, Robert C. Key Laboratory of System Control and Information Processing Shanghai Jiaotong University Ministry of Education of China Shanghai200240 China Department of Automation Shanghai Jiaotong University Shanghai200240 China Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health Center Shanghai Jiaotong University School of Medicine Shanghai200030 China Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai200240 China Department of Electrical Engineering Shanghai Jiaotong University Shanghai200240 China Department of Electrical and Computer Engineering Tennessee Technological University CookevilleTN38505 United States

Resting state electroencephalogram (EEG) abnormalities in clinically high-risk individuals (CHR), clinically stable first-episode patients with schizophrenia (FES), healthy controls (HC) suggest alterations in neural oscillatory activity. However, few studies directly compare these anomalies among each types. Therefore, this study investigated whether these electrophysiological characteristics differentiate clinical populations from one another, and from non-psychiatric controls. To address this question, resting EEG power and coherence were assessed in 40 clinically high-risk individuals (CHR), 40 first-episode patients with schizophrenia (FES), and 40 healthy controls (HC). These findings suggest that resting EEG can be a sensitive measure for differentiating between clinical *** paper proposes a novel data-driven supervised learning method to obtain identification of the patients mental status in schizophrenia research. According to Marchenko-Pastur Law, the distribution of the eigenvalues of EEG data is divided into signal subspace and noise subspace. A test statistic named LES that embodies the characteristics of all eigenvalues is adopted. different classifier and different feature(LES test function) are selected for experiments, we have shown that using von Neumann Entropy as LES test function combine with SVM classifier could obtain the best average classification accuracy during three classification among HC, FES and CHR of Schizophrenia group with EEG signal. It is worth noting that the result of LES feature extraction with the highest classification accuracy is around 90% in two classification(HC compare with FES) and around 70% in three classification. Where the classification accuracy higher than 70% could be used to assist clinical diagnosis. Copyright © 2017, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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Author Correction: Ultra-thin high-efficiency mid-infraredtransmissive Huygens meta-optics

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Nature communications 2018年第1期9卷 2399页

作者： Li Zhang Jun Ding Hanyu Zheng Sensong An Hongtao Lin Bowen Zheng Qingyang Du Gufan Yin Jerome Michon Yifei Zhang Zhuoran Fang Mikhail Y Shalaginov Longjiang Deng Tian Gu Hualiang Zhang Juejun Hu State Key Laboratory of Electronic Thin Films and Integrated Devices National Engineering Research Center of Electromagnetic Radiation Control Materials University of Electronic Science and Technology of China Chengdu Sichuan 611731 China. Department of Materials Science & Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA. School of Information and Science Technology East China Normal University Shanghai 200062 China. Department of Electrical & Computer Engineering University of Massachusetts Lowell Lowell MA 01854 USA. Department of Materials Science & Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA. gutian@mit.edu. Department of Electrical & Computer Engineering University of Massachusetts Lowell Lowell MA 01854 USA. hualiang_zhang@uml.edu. Department of Materials Science & Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA. hujuejun@mit.edu.

The original version of this Article omitted the following from the Acknowledgements:'J.D. and H. Zhang acknowledge initial funding for design of the meta-atoms provided by the National Science Foundation under award CMMI-1266251. Z.L. and H. Zheng contributed to the Device Fabrication section and were independently funded as visiting scholars by the National Natural Science Foundation of China under award 51772042 and the "111" project (No. B13042) led by Professor Huaiwu Zhang. Later work contained within the Device Modeling and Device Characterization sections and some revisions to the manuscript were funded under Defense Advanced Research Projects Agency Defense Sciences Office (DSO) Program: EXTREME Optics and Imaging (EXTREME) under Agreement No. HR00111720029. The authors also acknowledge fabrication facility support by the Harvard University center for Nanoscale Systems funded by the National Science Foundation under award 0335765. The views, opinions and/or findings expressed are those of the authors and should not be interpreted as representing the official views or policies of the department of Defense or the U.S. Government.' This has been corrected in both the PDF and HTML versions of the Article.

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Correction: Improving Nutrition and Activity Behaviors Using Digital Technology and Tailored Feedback: Protocol for the Tailored Diet and Activity (ToDAy) Randomized controlled Trial

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JMIR research protocols 2020年第12期9卷 e25940页

作者： Rhiannon E Halse Charlene L Shoneye Christina M Pollard Jonine Jancey Jane A Scott Iain S Pratt Satvinder S Dhaliwal Richard Norman Leon M Straker Carol J Boushey Edward J Delp Fengqing Zhu Amelia J Harray Maria A Szybiak Anne Finch Joanne A McVeigh Barbara Mullan Clare E Collins Syed Aqif Mukhtar Kieran N Edwards Janelle D Healy Deborah A Kerr School of Public Health Curtin University Perth Western Australia Australia. East Metropolitan Health Service Perth Western Australia Australia. Cancer Council WA Perth Western Australia Australia. Health Psychology & Behavioural Medicine Research Group School of Psychology Curtin University Perth Western Australia Australia. School of Physiotherapy and Exercise Science Curtin University Perth Western Australia Australia. Cancer Epidemiology Program University of Hawaii Cancer Center Honolulu HI United States. Department of Nutrition Purdue University West Lafayette IN United States. School of Electrical and Computer Engineering Purdue University West Lafayette IN United States. School of Occupational Therapy Speech Therapy & Social Work Curtin University Perth Western Australia Australia. Movement Physiology Laboratory University of Witwatersrand Johannesburg South Africa. School of Health Sciences Faculty of Health and Medicine University of Newcastle Callaghan New South Wales Australia. Priority Research Centre in Physical Activity and Nutrition University of Newcastle Callaghan New South Wales Australia. Curtin Institute of Computation Curtin University Perth Western Australia Australia.

[This corrects the article DOI: 10.2196/12782.].

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Steps toward Parallel Intelligence

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IEEE/CAA Journal of Automatica Sinica 2016年第4期3卷 345-348页

作者： Fei-Yue Wang Xiao Wang Lingxi Li Li Li IEEE State Key Laboratory of Management and Control for Complex Systems (SKL-MCCS) Institute of AutomationChinese Academy of Sciences (CASIA) Research Center of Computational Experiments and Parallel Systems the National University of Defense Technology Qingdao Academy of Intelligent Industries (QAII) QingdaoShandongChinaand SKL-MCCSCASIA Department of Electrical and Computer Engineering Purdue School of Engineering and TechnologyIndiana University-Purdue University Indianapolis Department of Automation Tsinghua University Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies

The origin of artificial intelligence is investigated, based on which the concepts of hybrid intelligence and parallel intelligence are presented. The paradigm shift in Intelligence indicates the ''new normal'' of cyber-social-physical systems (CPSS), in which the system behaviors are guided by Merton's Laws. Thus, the ACP-based parallel intelligence consisting of Artificial societies, computational experiments and Parallel execution are introduced to bridge the big modeling gap in CPSS. © 2014 Chinese Association of Automation.

关键词： control systems electrical engineering

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Robustness of uncertain discrete linear repetitive processes with disturbance attenuation

Robustness of uncertain discrete linear repetitive processes...

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2016 European control Conference, ECC 2016

作者： Dabkowski, Pawel Galkowski, Krzysztof Rogers, Eric Sebek, Michael Institute of Physiscs Faculty of Physics Astronomy and Informatics Nicolaus Copernicus University ul. Grudziadzka 5 Torun87-100 Poland Institute of Control and Computation Engineering University of Zielona Gora Podgorna 50 Zielona Gora65-246 Poland Electronics and Computer Science University of Southampton SouthamptonSO17 1BJ United Kingdom Department of Control Engineering Faculty of Electrical Engineering Czech Technical University in Prague Technicka 2 Praha 616627 Czech Republic

ISBN: (纸本)9781509025916

Repetitive processes are a class of 2D systems that can be used to model physical systems and also there are applications, such as iterative learning control, where using a repetitive processes setting for design has advantages over alternatives. In most cases, it is discrete dynamics that are basis for design and often there will be a need to deal with uncertainty in the process model and the effects of disturbances. This paper develops new algorithms for these tasks that are computed using linear matrix inequalities when the uncertainty is modeled using two standard representations and disturbance attenuation is measured by an norm. The extension of these algorithms to control law design is also developed. © 2016 EUCA.

关键词： Linear matrix inequalities

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From non-local measurements to photon-photon interactions

From non-local measurements to photon-photon interactions

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Quantum Information and Measurement, QIM 2017

作者： Brodutch, Aharon Cohen, Eliahu Center for Quantum Information and Quantum Control University of Toronto 60 St George Street TorontoONM5S 1A7 Canada The Edward S. Rogers Department of Electrical and Computer Engineering University of Toronto 60 St George Street TorontoONM5S 1A7 Canada Institute for Optical Sciences Department of Physics University of Toronto 60 St George Street TorontoONM5S 1A7 Canada H.H. Wills Physics Laboratory University of Bristol Tyndall Avenue BristolBS8 1TL United Kingdom

We present a scheme to generate an effective interaction Hamiltonian for systems that cannot interact directly and show how it can be used in scenarios such as non-local measurements and photon-photon interactions. &#... 详细信息

ISBN: (纸本)9781943580262

关键词： Hamiltonians

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