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IEEE International Conference on computer-Aided Design

作者： Hongyan Zhang Michael A. Kochte Eric Schneider Lars Bauer Hans-Joachim Wunderlich Jörg Henkel Chair for Embedded Systems Karlsruhe Institute of Technology Karlsruhe Germany Institute of Computer Architecture and Computer Engineering University of Stuttgart Germany

ISBN: (纸本)9781467383899

Aging effects in nano-scale CMOS circuits impair the reliability and Mean Time to Failure (MTTF) of embedded systems. Especially for FPGAs that are manufactured in the latest technology node, aging is amajor concern. We introduce the first cross-layer aging-aware placement method for accelerators in FPGA-based runtime reconfigurable architectures. It optimizes stress distribution by accelerator placement at runtime, i.e. to which reconfigurable region an accelerator shall be reconfigured. Additionally, it optimizes logic placement at synthesis time to diversify the resource usage of individual accelerators, i.e. which CLBs of a reconfigurable region shall be used by an accelerator. Both layers together balance the intra- and inter-region stress induced by the application workload at negligible performance cost. Experimental results show significant reduction of maximum stress of up to 64% and 35%, which leads to up to 177% and 14% MTTF improvement relative to state-of-the-art methods w.r.t. HCI and BTI aging, respectively.

关键词： Stress Runtime Aging Transistors Table lookup Fabrics Field programmable gate arrays

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DIAS: A disassemble-assemble framework for highly sparse text clustering

DIAS: A disassemble-assemble framework for highly sparse tex...

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SIAM International Conference on Data Mining 2015, SDM 2015

作者： Liu, Hongfu Wu, Junjie Tao, Dacheng Zhang, Yuchao Fu, Yun Department of Electrical and Computer Engineering College of Engineering College of Computer and Information Science Northeastern University Boston United States School of Economics and Management Beihang University Beijing China Centre for Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney 235 Jones Street UltimoNSW2007 Australia Beijing Institute of System Engineering Beijing China

ISBN: (纸本)9781510811522

Upon extensive studies, text clustering remains a critical challenge in data mining community. Even by various techniques proposed to overcome some of these challenges, there still exist problems when dealing with weakly related or even noisy features. In response to this, we propose a Dlssemble-ASsemble (DIAS) framework for text clustering. DIAS employs simple random feature sampling to disassemble high-dimensional text data and gains diverse structural knowledge. This also does good to avoiding the bulk of noisy features. Then the multi-view knowledge is assembled by weighted Information-theoretic Consensus Clustering (IC-C) in order to gain a high-quality consensus partitioning. Extensive experiments on eight real-world text data sets demonstrate the advantages of DIAS over other widely used methods. In particular, DIAS shows strengths in learning from very weak basic partitionings. In addition, it is the natural suitability to distributed computing that makes DIAS become a promising candidate for big text clustering. Copyright © SIAM.

关键词： Distributed computer systems

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A system for semi-automated management of blood loss during surgery: Preliminary results

A system for semi-automated management of blood loss during ...

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Health Innovations and POCT

作者： Philip Asare Mahmood Arifin Chowdhury Taimoore Rajah S. Mark Poler Mohammed Shah Peter Guion Jeffrey Martin Kevin Driscoll Qianhong Wu Andrew Mannes C. Nataraj Electrical and Computer Engineering Bucknell University Lewisburg PA USA Villanova University Biomedical Clinical Research Engineer at Department of Peri operative Medicine NIH Vice Chairman of Anesthesiology Geisinger Health System Danville PA USA Clinical Center at NIH Radiation Oncology at National Cancer Institute Department of Perioperative Medicine at NIH Mechanical Engineering at Villanova University Villanova Center for Analytics of Dynamic Systems Villanova University Villanova PA USA

ISBN: (纸本)9781509011674

This paper presents preliminary results from a pilot study for automated management of blood loss during surgery. The paper describes our approach in developing mathematical models for the cardiovascular system including blood loss and use of colloids for resuscitation. Further, adaptive models are synthesized and used for designing appropriate control algorithms. These algorithms are further integrated into a computerized platform that interfaces with medical devices such as monitors and pumps, which will be tested and validated in animal trials. The eventual development will be minimalist with an open architecture in order to enable easy adoption by others in the community.

关键词： Biomedical monitoring Blood Fluids Mathematical model Monitoring Electronic mail US Government agencies

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Autonomous capillary microfluidics for rapid nanoreceptor assembly and biosensing

Autonomous capillary microfluidics for rapid nanoreceptor as...

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International Conference on Solid State Sensors and Actuators (TRANSDUCERS)

作者： F. Zang K. Gerasopoulos K. McKinzie J. N. Culver R. Ghodssi Institute for Systems Research Department of Electrical and Computer Engineering Department of Plant Science and Landscape Architecture University of Maryland College Park MD USA

We report an autonomous integrated microsystem comprising capillary microfluidics and impedimetric sensors for rapid nanoprobe assembly and antibody detection. Using open-channel microfluidics, Tobacco mosaic virus-like particles (VLPs) are autonomously delivered on the impedance sensor, forming a dense functional sensing layer due to enhanced surface evaporation-assisted assembly. The process utilizes 5μL of VLP solution (0.2mg/mL) and requires 6 minutes at room temperature compared to 3 hours in static environments. The functionalized impedance sensor is able to detect the presence of 1.2μg/mL target antibody within 10 minutes after functionalization. These results highlight the significant potential of the integrated system for rapid transducer functionalization and biosensing.

关键词： Impedance Microfluidics Surface impedance Probes Assembly Biosensors

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Response Policies to Process Module Failure in Single-Arm Cluster Tools Subject to Wafer Residency Time Constraints

Response Policies to Process Module Failure in Single-Arm Cl...

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作者： Qiao, Yan Pan, Chun-Rong Wu, Nai-Qi Zhou, Mengchu Department of Industrial Engineering School of Electro-Mechanical Engineering Guangdong University of Technology Guangzhou510006 China School of Mechatronics and Electrical Engineering Jiangxi University of Science and Technology Ganzhou341000 China Institute of Systems Engineering Macau University of Science and Technology Taipa China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102-1982 United States

In semiconductor manufacturing, wafer residency time constraints make the scheduling problem of cluster tools complicated. A process module (PM) in cluster tools is prone to failure. It is crucial to deal with any such failure in a proper and timely manner. If there are feasible periodic schedules in operating a cluster tool before and after a PM failure, it is desired to make it operate continuously when such a failure occurs. However, due to wafer residency time constraints, it is highly challenging to control a tool such that it can be correctly transferred from a feasible schedule before failure to another after it. To solve this problem, a Petri net model is developed to describe the dynamic behavior of a single-arm cluster tool and failure response policies are proposed. The proposed policies are formulated via simple control laws for their easy implementation. Examples are given to show them. © 2015 IEEE.

关键词： Scheduling

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Designing an Intelligent system for Traffic Management

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通讯和计算机（中英文版） 2015年第3期12卷 123-127页

作者： Maha Rezzai Wafaa Dachry Fouad Moutaouakkil Hicham Medromi Systems Architecture Team Laboratory of Computer System and Renewable Energy University Hassan H Casablanca ENSEMCasablanca 20200 Morocco Laboratory of Mechanical Engineering Industrial Management and Innovation (IMMII) University Hassan I FST SettatMorocco

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A two-stage MIP based optimization framework for unit commitment and energy pricing

A two-stage MIP based optimization framework for unit commit...

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Power and Energy Conference at Illinois (PECI)

作者： Yu Xia Muhammad Marwali Joe H. Chow Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY USA New York Independent System Operator Rensselaer NY USA

Power system unit commitment (UC) is a non-convex NP-complete problem, which is very complex to solve on a large scale. Solution methods for the UC problem have been explored, with Lagrangian relaxation (LR) being one of the most popular approaches in practice. The significant reduction in numerical solution times of commercial Mixed Integer Programming (MIP) solvers makes transitioning from LR to MIP possible. This paper presents a MIP based two-stage optimization approach for solving the UC problem as well as the energy price. The proposed framework has been implemented using MATLAB and tested on two test power systems.

关键词： Linear programming Generators Mathematical model Power systems Economics Spinning Equations

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

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BMC Neurosci 2017年第SUPPL 1期18卷 58-58页

作者： Sue Denham Panayiota Poirazi Erik De Schutter Karl Friston Ho Ka Chan Thomas Nowotny Dongqi Han Sungho Hong Sophie Rosay Tanja Wernle Alessandro Treves Sarah Goethals Romain Brette Tomas Van Pottelbergh Rodolphe Sepulchre Alex D. Bird Hermann Cuntz Pedro J. Gonçalves Jan-Matthis Lueckmann Giacomo Bassetto Marcel Nonnenmacher Jakob H. Macke Audrey J. Sederberg Jason N. MacLean Stephanie E. Palmer Ulisse Ferrari Christophe Gardella Olivier Marre Thierry Mora Emina Ibrahimovic Martin Müller Jean-Pascal Pfister Tushar Chauhan Timothée Masquelier Alexandre Montlibert Benoit R. Cottereau Moritz Helias Jannis Schuecker David Dahmen Sven Goedeke Alexandre Hyafil Ainhoa Hermoso-Mendizabal Pavel E. Rueda-Orozco Santiago Jaramillo David Robbe Jaime de la Rocha Marie Rooy Fani Koukouli David DiGregorio Uwe Maskos Boris Gutkin Andrey Yu Verisokin Darya V. Verveyko Dmitry E. Postnov Willy Wong Omid Talakoub Robert Chen Milos Popovic Dmitriy Lisitsyn Eric Drebitz Iris Grothe Sunita Mandon Andreas Kreiter Udo Ernst Peter A. Robinson Xuelong Zhao Kevin M. Aquino John D. Griffiths Grishma Mehta-Pandejee Natasha Gabay James MacLaurin Somwrita Sarkar Tim Kunze Jens Haueisen Thomas R. Knösche Subutai Ahmad Yuwei Cui Marcus Lewis Jeff Hawkins Simona Olmi Spase Petkoski Fabrice Bartolomei Maxime Guye Viktor Jirsa Hazem Toutounji Daniel Durstewitz Matteo Cantarelli Adrian Quintana Boris Marin Matt Earnshaw Padraig Gleeson Robert Court Robert McDougal R. Angus Silver Salvador Dura-Bernal Stephen Larson William W. Lytton Giovanni Idili Lorenzo Posani Simona Cocco Karel Ježek Rémi Monasson School of Psychology Faculty of Health & Human Sciences Plymouth University Plymouth Devon PL4 8AA UK Institute of Molecular Biology and Biotechnology (IMBB) Foundation for Research and Technology-Hellas (FORTH) Heraklion Crete Greece Okinawa Institute of Science and Technology Graduate University Okinawa Japan Wellcome Trust Centre for Neuroimaging Institute of Neurology UCL London WC1N 3BG UK School of Engineering and Informatics University of Sussex Brighton BN1 9QJ UK Graduate School Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Computational Neuroscience Unit Okinawa Institute of Science and Technology Okinawa 904-0495 Japan Cognitive Neuroscience Area Scuola Internazionale Superiore di Studi Avanzati Trieste 34136 Italy Kavli Institute for Systems Neuroscience NTNU Trondheim 7030 Norway Institut de la Vision Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Paris 75012 France Department of Engineering University of Cambridge Cambridge Cambridgeshire CB2 1PZ UK Ernst Strüngmann Institute for Neuroscience Max Planck Society Frankfurt Germany Frankfurt Institute for Advanced Studies Frankfurt Germany Neural Systems Analysis Research Center Caesar An Associate of the Max Planck Society Bonn Germany Max Planck Institute for Biological Cybernetics Tübingen Germany Bernstein Center for Computational Neuroscience Tübingen Germany Present Address: Biomedical Engineering Department Georgia Institute of Technology Atlanta GA 30306 USA Department of Neurobiology University of Chicago Chicago IL 60637 USA Department of Organismal Biology and Anatomy University of Chicago Chicago IL 60637 USA Committee on Computational Neuroscience University of Chicago Chicago IL 60637 USA Institut de la Vision Sorbonne Universités INSERM Paris France Laboratoire de Physique Statistique Ecole Normale Supérieure Paris France Institute of Molecular Life Sciences University of Zürich 8057 Zürich Switzerland Institute of Neuroinformatics Univer

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROSCIENCE 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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A Privacy Preserving Truthful Spectrum Auction Scheme using Homomorphic Encryption

A Privacy Preserving Truthful Spectrum Auction Scheme using ...

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IEEE Global Communications Conference

作者： Xiaoyan Wang Yusheng Ji Hao Zhou Zhi Liu Yu Gu Jie Li Information Systems Architecture Science Research Division National Institute of Informatics School of Computer Science University of Science and Technology of China Global Information and Telecommunication Institute Waseda University School of Computer and Information Hefei University of Technology Faculty of Engineering Information and Systems University of Tsukuba

ISBN: (纸本)9781479959532

Dynamic spectrum reallocation, under which the spectrum owners temporarily share the underutilized spectrum to secondary users for economic profit, is an important approach to improve the spectrum utilization ratio. Auction is believed to be a natural marketing tool to incentivize the spectrum owners, and thus redistribute the idle spectrum efficiently. Extensive researches have been done in the problem of truthful spectrum auction, in which the bidders bid based on their true valuations of the spectrum. The true valuation of the individual bidder, however, is a private information which should be protected against exposure. In this paper, we propose a privacy preserving truthful spectrum auction scheme by utilizing homomorphic encryption. The proposed scheme reveals the group bids but hides the users' bids even from the auctioneer. The evaluation results show that the proposed scheme achieves good spectrum utilization efficiency with low communication and computation overheads.

关键词： Spectra spectrum utilization efficiency Homomorphic encryption Privacy Scheme

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