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Annual IEEE Applied Power Electronics Conference and Exposition

作者： Amandeep Singh Najath Abdul Azeez Sheldon S. Williamson Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT-Automotive Center of Excellence (UOIT-ACE) Department of Electrical Computer and Software Engineering Fac

ISBN: (纸本)9781467395519

Ultracapacitors (UCs) are the significant component of the energy storage systems (ESS) in the electric traction applications. In the field of electric transportation the UCs need to be modeled dynamically in order to capture real-time characteristics. The model should provide precise estimation of UC responses to various charge/discharge conditions and also predict the behavior of UCs under varied load conditions. In order to incorporate the model for testing purposes in various power electronics/drive simulation toolboxes, it is very important for the model to be accurate. This paper aims at the experimental validation of an accurate parameter identification procedure for an UC model using random charging/discharging current pulses of different magnitudes. The UC model can estimate the output voltage without the extraction of the model's branch parameters. The critical parameters have been estimated dynamically from characteristic equations. The estimation technique for an equivalent RC branch model is simulated and the output voltage response, controlled between Vmm (0V) and Vrated (2.7V) of a single UC cell, has been presented. Finally, the simulation results obtained from the identification technique are validated against the actual charging results obtained from applying charging pulses to a 1200F UC.

关键词： Circuit modeling energy storage power electronics electric transportation supercapacitors

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A software system family: Learning from simple data processing to knowledge management system of research

A software system family: Learning from simple data processi...

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International Conference on Information Technology and electrical engineering (ICITEE)

作者： Inggriani Liem Transmissia Semiawan Ade Chandra Suprihanto Data and Software Engineering Research Group School of Electrical Engineering and Informatics ITB Bandung Indonesia Department of Computer Engineering and Informatics Bandung State Polytechnics Bandung

In this paper, we propose a series of applications that represent a system family for processing Research Data. The whole system is a model of complete data flow of "research", from data capturing, processing, until intelligent data analysis. Data engineering, software engineering, Domain engineering and Ontology engineering are used for the development of the system. We also described tools and technologies to be used in building the system. The prototype of a small scale system has been built as a proof of concept of this family of system, for the domain of "Research" in Indonesian context. The aim of building this prototype are: (a) to provide an architectural description prototype of a knowledge repository where Indonesian Context Research as a central domain (b) to comprehend a software engineering for software system family.

关键词： Ontologies software Data models Unified modeling language Prototypes software engineering Information systems

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Generalized Force-and-Energy Manipulability for design and control of redundant robotic arm

Generalized Force-and-Energy Manipulability for design and c...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： D. Mori G. Ishigami Data and Software Engineering Research Group School of Electrical Engineering and Informatics ITB Bandung Indonesia Department of Computer Engineering and Informatics Bandung State Polytechnics Bandung

There is a possibility of remaining indication of microorganisms on Martian subsurface and therefore, a robotic arm mounted on an exploration robot is required to dig to a certain depth and collect appropriate sample to be analyzed. However, the environment on the surface of Mars is harsh and most of all, limited power is available from the solar panel. In this paper, FEMI (Force-and-Energy Manipulability Index) is proposed to evaluate a feasible arm configuration for low energy consumption in its soil sampling operation. FEMI is calculated by the combination of an energy manipulability of an arm and an external force generated at an end effector of the arm. The FEMI derives the most feasible configuration on the joint angles of the arm for each sampling point. The usefulness of the FEMI is confirmed through a numerical simulation of a robotic arm. The simulation also presents that the FEMI can be used to obtain mechanical parameters of the arm such as link length and motor power, that are optimally-designed for a certain mission.

关键词： Robots Soil Gravity Ellipsoids Mathematical model Energy consumption

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UML consistency rules in technical books

UML consistency rules in technical books

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IEEE International Conference on software Reliability engineering Workshops (ISSRE Wksp)

作者： Damiano Torre Yvan Labiche Marcela Genero Maged Elaasar Department of Technologies and Information Systems ALARCOS Research Group Paseo de la Universidad Ciudad Real Spain Department of Systems and Computer Engineering Software Quality Engineering Laboratory Ottawa ON Canada

This paper highlights the need of identifying a set of UML consistency rules that is as complete as possible. For that purpose, we propose to complement our previous research works, by searching for such rules directl... 详细信息

关键词： Unified modeling language computers Information systems software quality

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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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Standalone DC Level-1 EV Charging using PV/Grid Infrastructure, MPPT Algorithm and CHAdeMO Protocol

Standalone DC Level-1 EV Charging using PV/Grid Infrastructu...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Vamsi Krishna Pathipati Najath Abdul Azeez Sheldon S. Williamson Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT-Automotive Center of Excellence (UOIT-ACE) Department of Electrical Computer and Software Engineerin g Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT-Automotive Center of Excellence (UOIT-ACE) Department of Electrical Computer and Software Engineering

ISBN: (纸本)9781479917631

This paper presents an approach of DC level 1 charging of an electric vehicle (EV) or plug-in hybrid electric vehicle (PHEV) making use of standalone solar photovoltaic (PV) system. In this approach it is proposed to use the DC power generated by solar panels to directly charge EV traction battery pack using solar MPPT controller algorithm and CHAdeMO DC fast charging protocol. A supervisory control algorithm is developed to handle the standalone solar conditions. With the proposed solution, any EV users with CHAdeMO DC fast charging port can charge their vehicle. An example of commercially available EV 'Nissan Leaf' is considered for explaining the solution with 1 kW solar PV system. An average daily commuter distance is considered along with the survey data of different demographic solar energy harvesting capability. Calculations are made to prove that this solution can charge EVs off-the-grid, hence zero running cost.

关键词： Batteries Charging Energy storage systems Solar energy Power electronics Transportation CHARGING(ACCOUNTTNG) charging Electric vehicles Power electronics Solar Energy Batteries transport Cache Memory System DC power supply energy storage Energy storage systems direct current maximum power point trackers fast charging Solar collectors

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A New Single-stage High-efficiency Photovoltaic(PV)/Grid-interconnected DC Charging System for Transportation Electrification

A New Single-stage High-efficiency Photovoltaic(PV)/Grid-int...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Siddhatha A. Singh Najath A. Azeez Sheldon S. Williamson Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT-Automotive Center of Excellence (UOIT-ACE) Department of Electrical Computer and Software Engineerin g Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT-Automotive Center of Excellence (UOIT-ACE) Department of Electrical Computer and Software Engineering

ISBN: (纸本)9781479917631

In this paper, a single stage highly efficient photovoltaic grid interconnected charging infrastructure has been designed for off-board DC charging for electric vehicles. This paper starts with the design of a single phase H-bridge quasi-z-source inverter (qZSI), component design and the pulse width modulation technique used. Then it discusses the control techniques used to control the power flow from the photovoltaic to the grid. The versatile qZSI topology has been used for the battery charging system using traditional controls to connect a 2 kW solar array to the AC grid. An EV battery charger has been then designed using the highly efficient full bridge DC-DC converter employing primary side Zero Voltage Switching (ZVS) using the LLC topology for a wide output voltage range. Finally, the simulated performances of the power flow have been shown with and without the EV battery charger.

关键词： Batteries Charging Dc-dc converters Electric energy storage Power electronics Resonant converters Transportation electric energy storage CHARGING(ACCOUNTTNG) charging BATTERY CHARGERS Power electronics transport Power flow Batteries DC converter DC to DC converters resonant converter DC-DC power convertors Zero voltage switching Electric vehicles fare collection system

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Analysis of Series-Parallel Resonant Inductive Coupling Circuit using the Two-port Network Theory

Analysis of Series-Parallel Resonant Inductive Coupling Circ...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Kunwar Aditya Mohamed Youssef Sheldon S. Williamson Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT-Automotive Center of Excellence (UOIT-ACE) Department of Electrical Computer and Software Engineerin g Smart Transportation Electrification and Energy Research (STEER) Group Advanced Storage Systems and Electric Transportation (ASSET) Laboratory UOIT-Automotive Center of Excellence (UOIT-ACE) Department of Electrical Computer and Software Engineering

ISBN: (纸本)9781479917631

In this paper thorough analysis of Series-Parallel resonant inductive coupling (SPRIC) has been presented using two-port network theory. Characteristic of SPRIC has been derived and plotted against load variation and frequency variation in MATLAB. Concept of forced resonance and natural resonance has been discussed. Important expressions such as current transfer ratio, voltage transfer ratio, maximum efficiency etc. has been derived and presented. To study the circuit behavior of the SPRIC a prototype has been built in the lab. Experimental results along with simulation results has been presented to verify the derived expression and characteristics of series-parallel topology.

关键词： Circuit theory Electric vehicles Inductive energy storage Magnetic resonance quality factor Circuit theory Electric vehicles quality factor Magnetic Resonance series-parallel inductive energy storage Resonant inductive coupling two-port networks natural resonance load changes Frequency variation

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Dynamic Analysis of Winner-Take-All Neural Networks with Global Inhibitory Feedback

Dynamic Analysis of Winner-Take-All Neural Networks with Glo...

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第三十四届中国控制会议

作者： Yongbin Yu Ju Jin Rongquan Zhang Idongesit E.Ebong Pinaki Mazumder School of Information and Software Engineering University of Electronic Science and Technology of China Department of Electrical Engineering and Computer Science University of Michigan School of Life Science and Technology University of Electronic Science and Technology of China Sichuan Jiuzhou Electric Group Co. Ltd IEEE

ISBN: (纸本)9781467374439

This work studies dynamical behavior of a general class of winner-take-all(WTA) neural networks with global inhibitory feedback. Sufficient conditions for the neural network to have equilibrium solution and WTA point are ***, new conditions for exponential stabilization of the WTA neural network are presented. Finally, simulation results verify the feasibility and effectiveness of our method. The results can be extended to design other competitive neural networks.

关键词： Winner-take-all,neural network,inhibition,exponentially stable

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Scaling parallel rule-based reasoning 1

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11th International Conference on Semantic Web: Trends and Challenges, ESWC 2014

作者： Peters, Martin Brink, Christopher Sachweh, Sabine Zündorf, Albert University of Applied Sciences Dortmund Department of Computer Science Germany University of Kassel Software Engineering Research Group Department of Computer Science and Electrical Engineering Germany

ISBN: (数字)9783319074436

ISBN: (纸本)9783319074429

Using semantic technologies the materialization of implicit given facts that can be derived from a dataset is an important task performed by a reasoner. With respect to the answering time for queries and the growing amount of available data, scaleable solutions that are able to process large datasets are needed. In previous work we described a rule-based reasoner implementation that uses massively parallel hardware to derive new facts based on a given set of rules. This implementation was limited by the size of processable input data as well as on the number of used parallel hardware devices. In this paper we introduce further concepts for a workload partitioning and distribution to overcome this limitations. Based on the introduced concepts, additional levels of parallelization can be proposed that benefit from the use of multiple parallel devices. Furthermore, we introduce a concept to reduce the amount of invalid triple derivations like duplicates. We evaluate our concepts by applying different rulesets to the real-world DBPedia dataset as well as to the synthetic Lehigh University benchmark ontology (LUBM) with up to 1.1 billion triples. The evaluation shows that our implementation scales in a linear way and outperforms current state of the art reasoner with respect to the throughput achieved on a single computing node. © 2014 Springer International Publishing.

关键词： Graphics processing unit

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