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Performance vs complexity trade-offs for Markovian networked jump estimators

IFAC Proceedings Volumes 2014年第3期47卷 7412-7417页

作者： Daniel Dolz Daniel E. Quevedo Ignacio Peñarrocha Roberto Sanchis Department of Industrial Systems Engineering and Design University Jaume I Castelló Spain School of Electrical Engineering and Computer Science The University of Newcastle NSW Australia

This paper addresses the design of a state observer for networked systems with random delays and dropouts. The model of plant and network covers the cases of multiple sensors, out-of-sequence and buffered measurements. The measurement outcomes over a finite interval model the network measurement reception scenarios, which follow a Markov distribution. We present a tractable optimization problem to precalculate off-line a finite set of gains of jump observers. The proposed procedure allows us to trade the complexity of the observer implementation for achieved performance. Several examples illustrate that the on-line computational cost of the observer implementation is lower than that of the Kalman filter, whilst the performance is similar.

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ICEPOLE: High-speed, hardware-oriented authenticated encryption

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8731卷 392-413页

作者： Morawiecki, Pawel Gaj, Kris Homsirikamol, Ekawat Matusiewicz, Krystian Pieprzyk, Josef Rogawski, Marcin Srebrny, Marian Wójcik, Marcin Institute of Computer Science Polish Academy of Sciences Poland Section of Informatics University of Commerce Kielce Poland Department of Computing Macquarie University Australia Electrical Engineering and Computer Science School Queensland University of Technology Brisbane Australia Cryptographic Engineering Research Group George Mason University United States Cryptography and Information Security Group University of Bristol United Kingdom Cadence Design Systems San Jose United States Intel Gdańsk Poland

This paper introduces our dedicated authenticated encryption scheme ICEPOLE. ICEPOLE is a high-speed hardware-oriented scheme, suitable for high-throughput network nodes or generally any environment where specialized hardware (such as FPGAs or ASICs) can be used to provide high data processing rates. ICEPOLE-128 (the primary ICEPOLE variant) is very fast. On the modern FPGA device Virtex 6, a basic iterative architecture of ICEPOLE reaches 41 Gbits/s, which is over 10 times faster than the equivalent implementation of AES-128-GCM. The throughput-to-area ratio is also substantially better when compared to AES-128-GCM. We have carefully examined the security of the algorithm through a range of cryptanalytic techniques and our findings indicate that ICEPOLE offers high security level. © International Association for Cryptologic Research 2014.

关键词： Field programmable gate arrays (FPGA)

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On the Operation and Value of Storage in Consumer Demand Response

On the Operation and Value of Storage in Consumer Demand Res...

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IEEE Annual Conference on Decision and Control

作者： Yunjian Xu Lang Tong Engineering Systems and Design Pillar Singapore University of Technology and Design Singapore School of Electrical and Computer Engineering Cornell University Ithaca NY 14853 USA

ISBN: (纸本)9781467360890

We study the optimal operation and economic value of energy storage operated by a consumer who faces (possibly random) fluctuating electricity prices and seeks to reduce its energy costs. The value of storage is defined as the consumer's net benefit obtained by optimally operating the storage. We formulate the operation problem as a dynamic program. Under the assumption that consumer utility (received from electricity consumption) is additively separable over time, we establish a threshold structure of the optimal operation policy for a consumer who faces random electricity prices and stochastic demand. For a more general setting that incorporates the inter-temporal substitution effect in consumer demand, if the consumer always faces the same (realized) purchasing and selling price, then it is optimal for her to use the storage only for arbitrage, and therefore the VoS does not depend on the consumer's demand.

关键词： Electricity Discharges (electric) Batteries Markov processes Pricing Optimization

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Wind power forecasting using emotional neural networks

Wind power forecasting using emotional neural networks

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2014 IEEE International Conference on systems, Man, and Cybernetics, SMC 2014

作者： Lotfi, Ehsan Khosravi, Abbas Akbarzadeh, M.-R. Nahavandi, Saeid Department of Computer Engineering Torbat-e-Jam Branch Islamic Azad University Torbat-e-Jam Iran Center for Intelligence Systems Research Deakin University Geelong3217 Australia Departments of Electrical and Computer Engineering Center of Excellence on Soft Computing and Intelligent Information Processing Ferdowsi University of Mashhad Iran Centre for Intelligent Systems Research Deakin University 75 Pigdons Road Waurn PondsVIC3216 Australia

ISBN: (纸本)9781479938407

Emotional neural network (ENN) is a recently developed methodology that uses simulated emotions aiding its learning process. ENN is motivated by neurophysiological knowledge of the human's emotional brain. In this paper, ENNs are developed and examined for prediction tasks. Genetic algorithm is applied for optimal tuning of crisp numerical parameters of ENN. The performance of the proposed ENN is examined using data sets for a couple of synthetic (with constant and variable noise) and real world (wind farm power generation data) case studies. A traditional artificial neural network (ANN) is also implemented for comparison purposes. Numerical results indicate the superiority of ENN over ANN in terms of accuracy and stability. © 2014 IEEE.

关键词： Wind power

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Quadratic MPC with ℓ 0 -input constraint

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IFAC Proceedings Volumes 2014年第3期47卷 10888-10893页

作者： Ricardo P. Aguilera Ramón Delgado Daniel Dolz Juan C. Agüero School of Electrical Engineering and Telecommunications Australian Energy Research Institute (AERI) The University of New South Wales Australia School of Electrical Engineering and Computer Science The University of Newcastle Australia Department of Industrial Systems Engineering and Design Universitat Jaume I Castelló Spain

In this paper we propose a novel quadratic model predictive control technique that constrains the number of active inputs at each control horizon instant. This problem is known as sparse control. We use an iterative convex optimization procedure to solve the corresponding optimization problem subject to sparsity constraints defined by means of the ℓ 0 -norm. We also derive a sufficient condition on the minimum number of active of inputs that guarantees the exponential stability of the closed-loop system. A simulation example illustrates the benefits of the control design method proposed in the paper.

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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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Micro-differential evolution with vectorized random mutation factor

Micro-differential evolution with vectorized random mutation...

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Congress on Evolutionary Computation

作者： Hojjat Salehinejad Shahryar Rahnamayan Hamid R. Tizhoosh Stephen Y. Chen Department of Electrical Computer and Software Engineering University of Ontario Institute of Technology Oshawa ON Canada department of Systems Design Engineering University of Waterloo Waterloo ON Canada

One of the main disadvantages of population-based evolutionary algorithms (EAs) is their high computational cost due to the nature of evaluation, specially when the population size is large. The micro-algorithms employ a very small number of individuals, which can accelerate the convergence speed of algorithms dramatically, while it highly increases the stagnation risk. One approach to overcome the stagnation problem can be increasing the diversity of the population. To do so, a micro-differential evolution with vectorized random mutation factor (MDEVM) algorithm is proposed in this paper, which utilizes the small size population benefit while preventing stagnation through diversification of the population. The proposed algorithm is tested on the 28 benchmark functions provided at the IEEE congress on evolutionary computation 2013 (CEC-2013). Simulation results on the benchmark functions demonstrate that the proposed algorithm improves the convergence speed of its parent algorithm.

关键词： Sociology Statistics Vectors Convergence Benchmark testing Standards Educational institutions

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Current conduction in single-domain BiFeO3 thin films

Current conduction in single-domain BiFeO3 thin films

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作者： Nakashima, Seiji Ito, Taiki Fujisawa, Hironori Kanashima, Takeshi Okuyama, Masanori Kobune, Masafumi Shimizu, Masaru Department of Electrical Engineering and Computer Sciences Graduate School of Engineering University of Hyogo Himeji Hyogo 671-2201 Japan Department of Systems Innovation Graduate School of Engineering Science Osaka University Toyonaka Osaka 560-8531 Japan Instutute for Nanoscience Design Osaka University Toyonaka Osaka 560-8531 Japan Department of Materials Science and Chemistry Graduate School of Engineering University of Hyogo Himeji Hyogo 671-2201 Japan

Recently, the semiconducting characteristics of BiFeO3 thin films such as the photovoltaic effect or diode characteristics have been extensively investigated. However, the current conduction mechanism has not been completely clarified yet. In this study, the current conduction mechanism of the ideal BFO thin film, which has a single domain without conduction domain walls, such as 71 and 109° domain walls, has been investigated. The current density-electric field (J-E) characteristics of 100- to 1000-nm-thick BFO thin films and their temperature dependence in the range of 100-260K have been carefully investigated. From these thickness and temperature dependences of the J-E characteristics, it can be concluded that the most probable mechanism of current conduction in the single-domain BFO thin film is space-charge-limited current (SCLC) with a shallow trap. © 2014 The Japan Society of Applied Physics.

关键词： Thin films

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A new balanced-to-single-ended (BTSE) power divider

A new balanced-to-single-ended (BTSE) power divider

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2014 IEEE International Wireless Symposium, IWS 2014

作者： Wu, Lin-Sheng Guo, Yong-Xin Qiu, Liang-Feng Mao, Jun-Fa Key Laboratory of Ministry of Education of Design and EMC of High-Speed Electronic Systems Shanghai Jiao Tong University Shanghai 200240 China Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Research Institute Suzhou City 215123 Jiangsu Province China

ISBN: (纸本)9781479934034

A balanced-to-single-ended (BTSE) power divider is proposed in this paper. Its input is a differential pair while both the outputs are single-ended ports. It can replace the cascade of a balun and a conventional power divider. The characteristics requirements of a two-way BTSE power divider with equal power division are first derived, and then a prototype is designed for 2.0 GHz. In order to construct the component compactly, a short-ended four-wire coupled line and T-shaped sections are utilized to realize a -90° transmission line and a phase inverter, respectively. The developed prototype occupies an area of 0.077 λg2, where λg is the guided wavelength of central frequency. It provides all the desired performances within the operating bandwidth of 25%, with low insertion loss and good balance also achieved. © 2014 IEEE.

关键词： Timing circuits

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A multi-target tracking sensor platform for dielectrophoresis-based characterization of cells

A multi-target tracking sensor platform for dielectrophoresi...

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Health Innovations and POCT

作者： Samuel J. Dickerson Stefano Coraluppi Craig Carthel Steven P. Levitan Donald M. Chiarulli Nanophoretics LLC Monroeville PA USA Systems & Technology Research Woburn MA USA Departments of Computer Science and Electrical and Computer Engineering University of Pittsburgh Pittsburgh PA USA

In this paper, we present a sensor platform for characterizing cells using dielectrophoresis. With our approach, we use a multi-target multiple-hypothesis tracking algorithm to automatically capture dielectrophoresis velocity information about the cells contained in a mixture. The algorithm we implemented is scalable and suitable for use with real-world samples where there is a high concentration of cells to characterize. We implement our method as a compact, low-power device that can be used in point-of-care applications and present results of the sensor platform characterizing yeast cells.

关键词： Dielectrophoresis Electrodes Target tracking Force Electric fields Hardware History

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