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International Power Electronics Conference (IPEC)

作者： Makoto Ishibashi Hisao Fukumoto Tatsuya Furukawa Hideaki Itoh Masashi Ohchi Graduate School of Science and Engineering Saga University Saga Japan Department of Electrical Electronics and Computer Engineering Chiba Institute of Technology Narashino Japan

Experiments have critical roles in engineering education. However, it is not easy to conduct experiments because of their high costs of equipment and unavailability. Remote experiment systems have coped with this issue. Using remote experiment systems, users can conduct experiments regardless of their locations or times. Remote experiment systems have been developed worldwide, but most of the systems are developed for personal computers, and therefore cannot be used with smartphones or tablets. This study aims to develop a remote experiment system which can be used with smartphones or tablets. The proposed system provides remote control of a DC motor by PWM control and remote measurement of a single phase alternator. The user interface of the system is designed without Web plug-ins so that users can use the systems with their smartphones or tablets as well as their personal computers.

关键词： DC motors Switches Internet Alternators Random access memory Attenuation Noise

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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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A novel approach for ensuring high end-to-end availability: The spine concept

A novel approach for ensuring high end-to-end availability: ...

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International Workshop on Design of Reliable Communication Networks (DRCN)

作者： Teresa Gomes David Tipper Abdulaziz Alashaikh Department of Electrical and Computer Engineering University of Coimbra / INESC Coimbra Coimbra Portugal Graduate Telecommunications and Networking Program University of Pittsburgh Pittsburgh PA

Telecommunications networks need to guarantee that all node pairs involved in critical service communications are highly available. Typically only a small fraction of traffic and users needs high levels of availability but this traffic often drives the network design to over engineering. In this paper we adopt a novel approach to the problem of how to provide high levels of availability in an efficient manner. The basic idea is to embed a high availability set of links and nodes (termed the spine) in the network topology and leverage protection and routing to provide differentiated classes of resilience with varying levels of availability. In this paper we first explore the spine concept through a simple example illustrating the potential benefits of the approach. Then we study how the structural properties of a network topology can be used to determine heuristics to select a suitable spine and compare this with the case where all network components have the same availability. This is followed by a numerical based study comparing the heuristics with all possible spanning tree based spines for sample topologies. Our results are a step along the path of how to best design a physical network to support protection methods in achieving high levels of availability cost efficiently.

关键词： Availability Network topology Resilience Equations Mathematical model Routing Gold

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Near-field fresnel reconstruction of digital holograms

Near-field fresnel reconstruction of digital holograms

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Digital Holography and Three-Dimensional Imaging, DH 2014

作者： Williams, Logan A. Nehmetallah, Georges Aylo, Rola Banerjee, Partha P. Electro-Optics Program University of Dayton Dayton OH 45469 United States Electrical Engineering and Computer Science Catholic University of America Washington DC 20064 United States Electrona Engineering LLC. 430 Taylor St. N.E. Washington DC 20017 United States

Fresnel transform implementation methods are explored which dramatically reduce the minimum reconstruction distance requirements and allow maximal signal recovery with numerically improved resolution scaling at any di... 详细信息

ISBN: (纸本)9781557523082

关键词： Signal reconstruction

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A flexible ultrasonic velocity profiler development environment

A flexible ultrasonic velocity profiler development environm...

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IEEE Instrumentation and Measurement Technology Conference

作者： César Yutaka Ofuchi Fabio Rizental Coutinho Raquel dos Santos Rasia Lucia Valeria Ramos de Arruda Flávio Neves Rigoberto Eleazar Melgarejo Morales Graduate School of Electrical Engineering and Computer Science (CPGEI) Federal University of Technology-Paraná (UTFPR) Curitiba Brazil Mechanical & Materials Engineering Postgraduate Program (PPGEM) Federal University of Technology-Paraná (UTFPR) Curitiba Brazil

ISBN: (纸本)9781467363846

Ultrasonic velocity profiler method is now an accepted tool in modern experimental fluid mechanics and fluid engineering. As a relative new technology, different applications and improvements of the technique are being researched over the last years. This paper presents an environment to develop new algorithms to improve the ultrasonic velocity estimation technique. The system uses the LabVIEW modular platform integrated with mathematical script language used in many signal-processing software. The phase-shift algorithm was implemented and tested using the proposed system. The results are validated with standard velocity measurements generated by a rotating cylinder.

关键词： Acoustics Velocity measurement Software Signal processing algorithms Ultrasonic variables measurement Fluids Doppler effect

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Using energy dispersive spectroscopy (EDS) to determine the resistance of FIB jumpers for circuit edit 40

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40th International Symposium for Testing and Failure Analysis, ISTFA 2014

作者： DiBattista, Michael Senowitz, Corey Faraby, Hasan Bandaru, Prabhakar Qualcomm Incorporated San DiegoCA92121 United States Department of Electrical and Computer Engineering University of California San Diego San DiegoCA92093 United States Department of Mechanical Engineering Materials Science Program University of California San Diego San DiegoCA92093 United States

ISBN: (纸本)1627080740

A key capability of focused ion beam (FIB) tools is the ability to deposit conductive materials by introducing organometallic precursors such as tungsten hexacarbonyl [W(CO)6] or (methylcyclopentadienl) trimethyl platinum [C9H17Pt]. The FIB deposited metal is often used in applications such as the modification of integrated circuits (ICs) by creating new electrical connection on the device. The electrical properties of the FIB material are of particular concern to high speed digital and radio frequency (RF) circuit designers because the resistivity of the FIB deposited metal is orders of magnitude higher in value than the near bulk resistivity value of the metals used in IC manufacturing. In this paper, we developed a correlation between the chemical composition of the FIB deposited metal and the electrical resistivity using an effective media theory (EMT) model. Analysis shows that gallium from the ion beam is the dominant contributor to lowering the resistivity of the jumper. The results of this work and model allow us to understand the role the chemical elements play in the electrical resistance of the FIB electrical jumper and to estimate the FIB metal resistance from energy dispersive spectroscopy (EDS) analysis and the geometry. Copyright © 2014 ASM International® All rights reserved.

关键词： Energy dispersive spectroscopy

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Comparative study of leaf image recognition with a novel learning-based approach

Comparative study of leaf image recognition with a novel lea...

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science and Information Conference (SAI)

作者： Jou-Ken Hsiao Li-Wei Kang Ching-Long Chang Chih-Yang Lin Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Yunlin Taiwan Graduate School of Engineering Science and Technology-Doctoral Program National Yunlin University of Science and Technology Yunlin Taiwan Department of Computer Science and Information Engineering Asia University Taichung Taiwan

Automatic plant identification via computer vision techniques has been greatly important for a number of professionals, such as environmental protectors, land managers, and foresters. In this paper, we conduct a comparative study on leaf image recognition and propose a novel learning-based leaf image recognition technique via sparse representation (or sparse coding) for automatic plant identification. In our learning-based method, in order to model leaf images, we learn an overcomplete dictionary for sparsely representing the training images of each leaf species. Each dictionary is learned using a set of descriptors extracted from the training images in such a way that each descriptor is represented by linear combination of a small number of dictionary atoms. Moreover, we also implement a general bag-of-words (BoW) model-based recognition system for leaf images, used for comparison. We experimentally compare the two approaches and show unique characteristics of our sparse coding-based framework. As a result, efficient leaf recognition can be achieved on public leaf image dataset based on the two evaluated methods, where the proposed sparse coding-based framework can perform better.

关键词： Image recognition Dictionaries Training Feature extraction Shape Vectors Image coding

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Reliability-Driven Pipelined Scan-Like Testing of Digital Microfluidic Biochips

Reliability-Driven Pipelined Scan-Like Testing of Digital Mi...

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Asian Test Symposium (ATS)

作者： Zipeng Li Trung Anh Dinh Tsung-Yi Ho Krishnendu Chakrabarty Department of Electrical and Computer Engineering Duke University Durham NC USA Graduate School of Information Science and Engineering Ritsumeikan University Shiga Japan Computer Science and Information Engineering Department National Cheng Kung University Tainan Taiwan

A digital micro fluidic biochip (DMFB) is an attractive platform for immunoassays, point-of-care clinical diagnostics, DNA sequencing, and other laboratory procedures in biochemistry. Effective testing methods are required to ensure robust DMFB operation and high confidence in the outcome of biochemical experiments. Prior work on DMFB testing does not address the problem of designing the test to minimize reliability degradation during test application. It also ignores physical constraints arising from fluidic behavior and the physics of electro wetting-on-dielectric. We develop a practical and realistic testing method by first systematically analyzing the influence of actuation voltage and actuation frequency on the distribution of the electric field, and its resulting effect on dielectric degradation. Next, we use this analysis to choose appropriate parameter settings for testing, and proposes a new pipelined scan-like testing method. Both static and dynamic fluidic constraints are considered in the new testing method, and a diagnosis technique is presented to easily locate defects. Finally, simulation results are presented to demonstrate the effectiveness of the proposed testing approach in minimizing test-completion time.

关键词： Electrodes Testing Dielectrics Degradation Reservoirs Integrated circuit modeling Threshold voltage

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Designs and analysis of non-volatile memory cells for single event upset (SEU) tolerance

Designs and analysis of non-volatile memory cells for single...

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IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems

作者： Wei Wei Fabrizio Lombardi Kazuteru Namba Department of Electrical and Computer Engineering Northeastern University Boston USA Graduate School of Advanced Integration Science Chiba University Chiba JAPAN

This paper proposes a comprehensive approach to the designs of low-power non-volatile (NV) memory cells and for attaining Single Event Upset (SEU) tolerance. Three low-power hardened NVSRAM cell designs are proposed; these designs increase the critical charge and decrease power consumption by providing a positive (virtual) ground level voltage. Simulation of these cells shows that their operation has a very high SEU tolerance, the charges in the nodes of the circuits for non-volatile storage and gate leakage current reduction have very high values, thus ensuring that a SEU will highly unlike affect the correct functions. A SER analysis of these cells is also pursued. An extensive evaluation and comparison of different schemes are presented.

关键词： Random access memory Transistors Nonvolatile memory Single event upsets Power dissipation Resistance Leakage currents

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Indoor Place Categorization Using Co-occurrences of LBPs in Gray and Depth Images from RGB-D Sensors

Indoor Place Categorization Using Co-occurrences of LBPs in ...

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International Conference on Emerging Security Technologies (EST)

作者： Hojung Jung Oscar Martinez Mozos Yumi Iwashita Ryo Kurazume Graduate School of Information Science and Electrical Engineering Kyushu University Nishi-ku Fukuoka Japan School of Computer Science University of Lincoln Lincoln United Kingdom Kyushu Daigaku Fukuoka JP Graduate Faculty of Information Science and Electrical Engineering Kyushu University Nishi-ku Fukuoka Japan

Indoor place categorization is an important capability for service robots working and interacting in human environments. This paper presents a new place categorization method which uses information about the spatial correlation between the different image modalities provided by RGB-D sensors. Our approach applies co-occurrence histograms of local binary patterns (LBPs) from gray and depth images that correspond to the same indoor scene. The resulting histograms are used as feature vectors in a supervised classifier. Our experimental results show the effectiveness of our method to categorize indoor places using RGB-D cameras.

关键词： Histograms Sensors Robots Laboratories Support vector machines Correlation Vectors

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