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International Joint Conference on Neural Networks

作者： Yu-Ting Liu Yang-Yin Lin Shang-Lin Wu Chun-Hsiang Chuang Mukesh Prasad Chin-Teng Lin Institute of Electrical Control Engineering Brain Research Center National Chiao-Tung University Hsinchu Taiwan Department of Computer Science National Chiao-Tung University Hsinchu Taiwan

This study presents a fuzzy prediction system for the forecasting and estimation of driving fatigue, which utilizes a functional-link-based fuzzy neural network (FLFNN) to predict the drowsiness (DS) level in car driving task. The cognitive state in car driving task is one of key issue in cognitive neuroscience because fatigue driving usually causes enormous losses nowadays. The damage can be extremely decreased by the assistant of various artificial systems. Many Electroencephalography (EEG)-based interfaces have been widely developed recently due to its convenient measurement and real-time response. However, the improvement of recognition accuracy is still confined to some specific problems (e.g., individual difference). In order to solve this issue, the proposed methodology in this paper utilizes a nonlinear fuzzy neural network structure to increase the adaptability in the real-world environment. Therefore, this study is further to analysis the brain activities in car driving, which is constructed in a simulated three-dimensional virtual-reality (VR) environment. Finally, through the development of brain cognitive model in car driving task, this system can predict the cognitive state effectively before drivers' action and then provide correct feedback to users. This study also compared the result with the-state-of-art systems, including Linear Regression (LR), Multi-Layer Perceptron Neural Network (MLPNN) and Support Vector Regression (SVR). Results of this study demonstrate the effectiveness of the proposed FLFNN model.

关键词： Electroencephalography Brain modeling Fuzzy neural networks Input variables Biological neural networks Vehicles Independent component analysis

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A modular high power battery system for pulsed power applications

A modular high power battery system for pulsed power applica...

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IEEE Symposium Power Modulator

作者： Eric Cordero Shad Holt James Dickens Andres Neuber John Mankowski Steve Calico Mike Scott Department of Electrical and Computer Engineering Center for Pulsed Power and Power Electronics Lubbock TX USA Lockheed Martin Corporation Missiles and Fire Control Grand Prairie TX USA

This paper presents the design of a scalable, high power battery system for pulsed power operations. The battery system is modular in design, with each module containing four Lithium Ion Polymer (LiPo) cells and a custom designed cell management board that actively monitors the voltage and temperature of each cell and also provides cell balancing functionality. The system is designed to be scalable by adding up to 25 modules in a series configuration. While the battery management system should be compatible with any lithium ion cells, this implementation uses 8 Ah capacity dual-core LiPo cells, rated for a 150 C discharge rate; allowing for a peak current output of 1,200 A. With 25 modules (96 LiPo cells) the system would have an open circuit voltage of 385 V and be capable of providing up to 1,200 A at 355 V for a peak output power of 420 kW. Special attention has been placed on safety features including overvoltage, undervoltage and temperature monitoring of every cell in the system. The charging/balancing system is capable of automatically shutting down if any of the voltages or temperatures exceeds established limits. The management circuitry is designed to have a low off-state power draw in order to maximize battery life when the system is not in use.

关键词： Batteries Heat sinks Power electronics Battery management systems Lithium Temperature sensors Coordinate measuring machines

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Recent advances in randomly spaced antenna arrays

Recent advances in randomly spaced antenna arrays

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European Conference on Antennas and Propagation, EuCAP

作者： C. G. Christodoulou M. Ciaurriz Y. Tawk J. Costantine S. E. Barbin Configurable Space Microsystems Innovations and Application Center (COSMIAC) The University of New Mexico Albuquerque New Mexico USA Electrical and Computer Engineering Department American University of Beirut Beirut Lebanon Electrical Engineering Department California State University Fullerton Fullerton California USA Department of Telecommunications and Control Engineering University of São Paulo São Paulo Brazil

This paper discusses randomly placed antenna array elements for direction of arrival and adaptive beamforming determination. Random array structures are discussed with various configurations. This work can be extended to space applications using a cluster of small satellites that are not aligned together in a standard linear or planar geometrical configuration but in some random fashion.

关键词： Array signal processing Least squares approximations Vectors Multiple signal classification Signal processing algorithms Adaptive arrays

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State and parameter estimation of nonlinear systems: a multi-observer approach

State and parameter estimation of nonlinear systems: a multi...

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IEEE Annual Conference on Decision and control

作者： Michelle S. Chong Dragan Nesic Romain Postoyan Levin Kuhlmann Center for Control Dynamical-systems and Computation (CCDC) University of California Santa Barbara CA 93106-9560 USA Department of Electrical and Electronic Engineering the University of Melbourne Australia Universite de Lorraine CRAN UMR 7039 and the CNRS CRAN UMR 7039 France

ISBN: (纸本)9781467360890

We present a multi-observer approach for the parameter and state estimation of continuous-time nonlinear systems. For nominal parameter values in the known parameter set, state observers are designed with a robustness property. At any time instant, one observer is selected by a given criterion to provide its state estimate and its corresponding nominal parameter value. Provided that a persistency of excitation condition holds, we guarantee the convergence of state and parameter estimates up to a given margin of error which can be reduced by increasing the number of observers. The potential computational burden of the scheme is eased by introducing a dynamic parameter re-sampling technique, where the nominal parameter values are iteratively updated using a zoom-in procedure on the parameter set. We illustrate the efficacy of the algorithm on a model of neural dynamics.

关键词： State estimation Parameter estimation Observers

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Transient Electronics: Materials and Wireless Microfluidic Systems for Electronics Capable of Chemical Dissolution on Demand (Adv. Funct. Mater. 9/2015)

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Advanced Functional Materials 2015年第9期25卷

作者： Chi Hwan Lee Jae‐Woong Jeong Yuhao Liu Yihui Zhang Yan Shi Seung‐Kyun Kang Jeonghyun Kim Jae Soon Kim Na Yeon Lee Bong Hoon Kim Kyung‐In Jang Lan Yin Min Ku Kim Anthony Banks Ungyu Paik Yonggang Huang John A. Rogers Department of Materials Science and Engineering Beckman Institute for Advanced Science and Technologyand Frederick Seitz Materials Research Laboratory University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Civil and Environmental Engineering and Mechanical Engineering Northwestern University Evanston IL 60208 USA Center for Mechanics and Materials Tsinghua University Beijing 100084 China State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing 210016 China Department of Materials Science and Engineering Department of Energy Engineering Hanyang University Seoul 133‐791 Republic of Korea Department of Chemistry University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Department of Bioengineering University of Illinois at Urbana‐Champaign Urbana IL 61801 USA Department of Electrical and Computer Engineering University of Illinois at Urbana‐Champaign Urbana IL 61801 USA

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Continuous-variable measurement-device-independent quantum key distribution

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Physical Review A 2014年第5期89卷 052301-052301页

作者： Zhengyu Li Yi-Chen Zhang Feihu Xu Xiang Peng Hong Guo State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science and Center for Quantum Information Technology Peking University Beijing 100871 China Center for Computational Science and Engineering Peking University Beijing 100871 China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing 100876 China Centre for Quantum Information and Quantum Control Department of Physics and Department of Electrical and Computer Engineering University of Toronto Toronto Ontario Canada M5S 3G4

We propose a continuous-variable measurement-device-independent quantum key distribution (CV-MDI QKD) protocol, in which detection is conducted by an untrusted third party. Our protocol can defend all detector side channels, which seriously threaten the security of a practical CV QKD system. Its security analysis against arbitrary collective attacks is derived based on the fact that the entanglement-based scheme of CV-MDI QKD is equivalent to the conventional CV QKD with coherent states and heterodyne detection. We find that the maximal total transmission distance is achieved by setting the untrusted third party close to one of the legitimate users. Furthermore, an alternate detection scheme, a special application of CV-MDI QKD, is proposed to enhance the security of the standard CV QKD system.

关键词： QUANTUM theory QUANTUM mechanics QUANTUM entanglement QUANTUM coherence HETERODYNE detection QUANTUM fluctuations

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Introduction to the issue on biophotonics

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IEEE Journal on Selected Topics in Quantum Electronics 2014年第2期20卷 4-7页

作者： Ilev, Ilko K. Boppart, Stephen A. Andersson-Engels, Stefan Kim, Beop-Min Perelman, Lev Tuchin, Valery Center for Devices and Radiological Health U.S. Food and Drug Administration Silver Spring MD 20993 United States Beckman Institute for Advanced Science and Technology Departments of Bioengineering Electrical and Computer Engineering and Medicine University of Illinois Urbana IL 61801 United States Division of Atomic Physics Lund University Lund SE-22100 Sweden Department of Biomedical Engineering Korea University Seoul 136-703 Korea Republic of Center for Advanced Biomedical Imaging and Photonics Beth Israel Deaconess Medical Center Harvard University Boston MA 02215 United States Division of Optics and Biophotonics Saratov State University Saratov 410012 Russia Institute of Precision Mechanics and Control Russian Academy of Sciences Saratov 410028 Russia Optoelectronics and Measurement Techniques Laboratory University of Oulu Oulu FI-90014 Finland

The objective of this JSTQE Issue on Biophotonics is to highlight recent progress and trends in innovative biophotonics technology development. The papers published in this issue cover a broad range of advanced biophotonics areas summarized in the following sections: 1) bioimaging: optical coherence tomography and microscopy, nonlinear optical imaging, and novel multimodality imaging approaches; 2) biosensing: multifunctional biosensing, and novel biosensing approaches; 3) biophotonic science: mechanisms of light-cell and lighttissue interactions, advanced modeling methods in biophotonics, and light induced biophotonics effects; 4) biophotonic technology: advanced technologies in biophotonic diagnostics and therapeutics, infrared technology in biophotonics, and novel laser, biomedical and fiber optics tools and devices in biophotonics. These key research topics are highlighted as comprehensive overviews of the current status and future trends, as well as original results and recent developments in the field of biophotonics. This issue contains 33 papers, including 18 invited and 15 contributed papers authored by well-established research groups and promising scientists from all over the world. The invited papers include extended reviews on recent biophotonic developments and clinical applications in the areas of highresolution multispectral bioimaging, combined multifunctional microscopy, nonlinear deep tissue imaging, single molecule imaging, optical coherence elastography, cellular and molecular mechanisms of photobiomodulation, tissue optical clearing, clinical ultrafast laser surgery, infrared laser nerve stimulation, and novel tapered diode lasers for biophotonics. The contributed papers cover a broad variety of key biophotonic research areas including recently obtained original results on multimodal bioimaging and sensing, high resolution phase-sensitive magnetomotive optical coherence microscopy and elastography, and laser-assisted typing of polymorphic human

关键词： Special issues and sections Biophotonics

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Develop a multiple physiological system of ICU patients with symptom analysis and decision making

Develop a multiple physiological system of ICU patients with...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chin-Teng Lin Shi-An Chen Yu-Kai Wang Shao-Wei Lu Instrument Technology Research Center National Applied Research Laboratories Taiwan Republic of China Institute of Electrical Control Engineering National Chiao Tung University Taiwan Republic of China Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan Republic of China Department of Power Mechanical Engineering National Tsing Hua University Taiwan Republic of China

This study presents a real-time, and auto-alarm intelligent system of healthcare for ICU patients. The current version of the expert system can detect EEG and ECG to identify different types of abnormal cardiac rhythms in real-time and identify patients' acute stress. The proposed system also activates an emergency medical alarm system when problems occur.

关键词： Stress Electrocardiography Medical services Electroencephalography Heart beat Design automation

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A centralized potential field method for stable operation of a multi-robot dome inspection, repair, and maintenance system

A centralized potential field method for stable operation of...

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2013 1st RSI/ISM International Conference on Robotics and Mechatronics, ICRoM 2013

作者： Naderi, K. Nejadfard, A. Moradi, H. Nili Ahmadabadi, M. School of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Iran

ISBN: (纸本)9781467358118

In this paper we propose a centralized algorithm for stable operation of a multi-robot dome inspection, repair, and maintenance based on potential field method. The multi-robot system consists of two robots, a leader robot and a supporter robot, connected to each other by two strings. The follower robot sends its information to the leader robot for processing and receiving commands. The leader robot uses the friction model, the slope of the dome detected by the two robots' tilt sensors and the mass of the robots to calculate the stability ranges and determines the proper action to make the whole system stable. The leader robot moves toward its target pose while adjusting the tension of its string using potential field method to combine the attractive and repulsive potentials. The follower robot executes the commands sent by the leader robot to create the most stable configuration for the whole system. It is shown that the algorithm can guarantee stable operation all over a typical dome. The algorithm has been implemented and shown its effectiveness in simulation. Furthermore, the effect of each parameter has been discussed and it is shown that the multi-robot system is capable of completely covering a typical dome using the proposed potential field algorithm. © 2013 IEEE.

关键词： Multipurpose robots

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Asymptotic optimality for consensus-type stochastic approximation algorithms using iterate averaging

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控制理论与应用（英文版） 2013年第1期11卷 1-9页

作者： Gang YIN Le Yi WANG Yu SUN David CASBEER Raymond HOLSAPPLE Derek KINGSTON Department of Mathematics Wayne State University Department of Electrical and Computer Engineering Wayne State University Quantitative Business Analysis Department Siena College Control Science Center of Excellence Air Force Research Laboratory

This paper introduces a post-iteration averaging algorithm to achieve asymptotic optimality in convergence rates of stochastic approximation algorithms for consensus control with structural constraints. The algorithm involves two stages. The first stage is a coarse approximation obtained using a sequence of large stepsizes. Then, the second stage provides a refinement by averaging the iterates from the first stage. We show that the new algorithm is asymptotically efficient and gives the optimal convergence rates in the sense of the best scaling factor and ＇smallest＇ possible asymptotic variance.

关键词： Stochastic approximation algorithm Consensus Iterate averaging Asymptotic optimality

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