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作者： Muramatsu, Dairoku Koshiji, Fukuro Koshiji, Kohji Sasaki, Ken Department of Human and Engineered Environmental Studies Graduate School of Frontier Science University of Tokyo 5-1-5 Kashiwano-ha Kashiwa-shi Chiba277-8563 Japan Program in Electrical Engineering Graduate School of Engineering Kokushikan University 4-28-1 Setagaya Setagaya-ku Tokyo154-8515 Japan Department of Electrical Engineering Graduate School of Science and Technology Tokyo University of Science 2641 Yamazaki Noda-shi Chiba278-8510 Japan

In human body communication, it is important to investigate the input impedance characteristics of electrodes and transmission characteristics between transceivers for improving the qualities of communication and reducing power consumption. In this work, we studied the input impedance characteristics and transmission characteristics between a wristwatch device and a handheld device using both a three-dimensional electromagnetic field simulation and experiment at 10 MHz. The input impedance and transmission characteristics obtained from the simulation using a muscle homogenous model and those obtained from the measurement using a muscle-tissue-equivalent phantom showed good consistency. The calculated electric field around a human arm decreased as it moved away from the surface of the arm. This distribution of the electric field showed the advantages of human body communication, which are confidential communication and electromagnetic compatibility (EMC). Moreover, power consumption at the feeding point of the system was calculated from the transmission characteristics obtained from the simulation. This result indicated that human body communication achieves low-power consumption.

关键词： Electrodes

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Discrete approach to electrical resistance tomography with applications to distributed network sensing

Discrete approach to electrical resistance tomography with a...

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International Symposium on Telecommunications

作者： Frederico M. Aguiar Daniel R. Pipa Marco J. Da Silva Graduate School of Electrical Engineering & Computer Science Federal University of Technology Parana Brazil

Most of electrical resistance tomography literature is aimed at biomedical application, where one wishes to estimate the conductivity distribution of some portion of human body in order to detect some health disorder. The solution to this problem often starts considering a continuous media, which requires subsequent discretization through finite element simulations or other sophisticated methods. In this paper, we propose an alternative and purely discrete approach. We pose the problem as a resistor grid, or network, of which only the peripheral elements are accessible for measurements. By injecting known electrical current externally, we want to estimate all the conductances of the network given only boundary voltage measurements. Since the relation between conductance values and voltage measurement is nonlinear, we present two solutions to the problem: one based on iterative linearization and another based on neural network, which solves the problem directly in the nonlinear domain. Finally, we present simulated experiments to demonstrate the viability of the proposed approach and highlight possible applications of the developed technique.

关键词： Tomography Voltage measurement Image reconstruction Neurons Artificial neural networks Resistors Impedance

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TWO-DIMENSIONAL LOCAL TERNARY PATTERNS USING SYNCHRONIZED IMAGES FOR OUTDOOR PLACE CATEGORIZATION

TWO-DIMENSIONAL LOCAL TERNARY PATTERNS USING SYNCHRONIZED IM...

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IEEE International Conference on Image Processing

作者： Hojung Jung Ryo Kurazume Yumi Iwashita Oscar Martinez Mozos Kyushu University Graduate Faculty of Information Science and Electrical Engineering University of Lincoln School of Computer Science

ISBN: (纸本)9781479957521

We present a novel approach for outdoor place categorization using synchronized texture and depth images obtained using a laser scanner. Categorizing outdoor places according to type is useful for autonomous driving or service robots, which work adaptively according to the surrounding conditions. However, place categorization is not straight forward due to the wide variety of environments and sensor performance limitations. In the present paper, we introduce a two-dimensional local ternary pattern (2D-LTP) descriptor using a pair of synchronized texture and depth images. The proposed 2D-LTP describes the local co-occurrence of a synchronized and complementary image pair with ternary patterns. In the present study, we construct histograms of a 2D-LTP as a feature of an outdoor place and apply singular value decomposition (SVD) to deal with the high dimensionality of the place. The novel descriptor, i.e., the 2D-LTP, exhibits a higher categorization performance than conventional image descriptors with outdoor place experiments.

关键词： Two-dimensional Local Ternary Pattern (2D-LTP) Place categorization Laser scanner Reflectance image Depth image

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Characteristics Study of Neural Network Aided Digital Control for DC-DC Converter

Characteristics Study of Neural Network Aided Digital Contro...

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International Power Electronics Conference

作者： Hidenori Maruta Masashi Motomura Fujio Kurokawa Division of Electrical Engineering and Computer Science Faculty of Engineering Nagasaki University Graduate School of Engineering Nagasaki University

ISBN: (纸本)9781479927067

This paper studies the digital controlled dc-dc converter which employs the neural network in coordination with PID control. Especially, we focus on the problem of overcompensation to the transient response of the output voltage in the dc-dc converter by the neural network control. Our previous studies suggested that the neural network control is effective to improve the transient response of the output voltage. Therefore, it can contribute to the low power consumption of power supplies for information and communication systems. However, the neural network aided control has a problem that it tends to be overcompensation, i.e., the compensation effect of the neural network becomes too much and badly affects to control the plant. The overcompensation causes from a delay time in sensing and calculation to determine the timing and duration of the neural network control itself. To address the problem of overcompensation, our previous studies investigated methods to devise the timing and duration of neural network control. However, since they need some pre-determined parameters which are optimized to the specific target converter to avoid the effect of delay, the implementation of it tends to be complicated one in practical use. In this study, we adopt the neural network which predicts parameters to improve the transient response and control timing and duration of itself. Therefore, it does not need any predetermined parameters for timing and duration control. From the simulation result for evaluation, it is confirmed that the presented method has a superior transient characteristics compared with conventional method.

关键词： Neural network Digital control Dc-dc converter

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Real-time process synchronization for systems with accelerators 14

Real-time process synchronization for systems with accelerat...

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2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014

作者： Huang, Kuan-Chung Wu, Yu-Chen Chang, Che-Wei Kuo, Tei-Wei Shih, Chi-Sheng Deng, Qingxu Department of Computer Science and Information Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering School of Electrical and Computer Engineering College of Engineering Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan Graduate Institute of Networking and Multimedia National Taiwan University Taiwan College of Information Science and Engineering Northeastern University China

ISBN: (纸本)9781450330602

This work is motivated by the needs to manage the priority inversion problem without sacrificing the utilization of increasingly popular hardware accelerators. A new mechanism is developed to dedicate accelerators to selected higher-priority tasks. The floor and ceiling priorities of accelerators are thus proposed as an extension of the concept of semaphore priority ceiling to guarantee at most two priority inversions for any real-time task in a uniprocessor system with multiple accelerators. The properties of the proposed concept are explored with respect to blocking behaviors over the CPU and accelerators and are verified by a series of experiments, for which the insight of the simple but effective idea is evaluated and presented. © 2014 ACM.

关键词： Blocking time analysis Dedicated accelerators Synchronization protocols

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Photonic sensors as imaging tools for industrial monitoring

Photonic sensors as imaging tools for industrial monitoring

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Optical Sensors, 2014

作者： Martelli, Cicero Da Silva, Marco J. Da Silva, Jean C.C. Morales, Rigoberto E.M. Da Silva, Erlon V. Zamarreño, Carlos R. Baroncini, Virginia Mezzadri, Felipe Patyk, Rodolfo Dutra, Guilherme Bazzo, João Vendruscolo, Tiago P. Graduate Program in Electrical and Computer Engineering Federal University of Technology - Paraná Curitiba PR80230-901 Brazil Department of Mechanical Engineering Federal University of Technology - Paraná Curitiba PR80230-901 Brazil Tractebel Energia S/A Quedas do Iguaçu PR Brazil Electrical and Electronic Engineering Department Public University of Navarra Pamplona NA Spain

Single point, quasi-distributed and distributed optical (fiber) sensors are demonstrated to be robust and reliable tools for one, two and three dimensional imaging of physical phenomena in industrial monitoring. Real ... 详细信息

ISBN: (纸本)9781557528209

关键词： Fiber Bragg gratings Image sensors Sensors Spatial resolution Temperature sensors Three dimensional imaging Fiber Bragg gratings (060.3735) Optical sensing and sensors (280.4788) Flow diagnostics (280.2490)

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Dirichlet tessellation for high-dimensional RSS clustering in Wi-Fi environment

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ICIC Express Letters 2014年第7期8卷 2043-2048页

作者： Zhou, Mu Tian, Zengshan Xu, Kunjie Tang, Xiaomou Chongqing Key Lab of Mobile Communications Technology Chongqing University of Posts and Telecommunications No. 2 Chongwen Road Nanan District Chongqing 400065 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Graduate Telecommunication and Networking Program School of Information Science University of Pittsburgh PA 15260 United States

The received signal strength (RSS) clustering has played a significant role in site surveying and data pre-processing for the location tracking in Wi-Fi environment. To this end, this paper presents a novel clustering algorithm to cluster the raw RSS vectors with large similarities in both the RSS and physical locations together. The clusters of RSS vectors are determined by the cells which are generated by the Dirichlet tessellation in a transformed low-dimensional space. Our algorithm consists of two steps. We first use the Laplacian embedding to transform the raw measurements into a low-dimensional space, while preserving the RSS and location neighborhood relations. Second, after the seeds of cells are carefully selected, we will tessellate the low-dimensional space by the Dirichlet cells to obtain the clustering results. The experiments conducted in an actual public Wi-Fi environment prove that our algorithm can achieve the smallest cluster scattering in both the RSS and locations compared with the existing affinity propagation clustering, K-means clustering and binary support vector classifier (SVC) algorithms. © 2014 ISSN 1881-803X.

关键词： Wi-Fi

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Tuning of the electron g factor in defect-free GaAs nanodisks

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Physical Review B 2015年第24期92卷 245423-245423页

作者： Li-Wei Yang Yi-Chia Tsai Yiming Li Akio Higo Akihiro Murayama S. Samukawa O. Voskoboynikov Department of Electronic Engineering and Institute of Electronics National Chiao Tung University 1001 Ta Hsueh Road Hsinchu 300 Taiwan Department of Electrical and Computer Engineering National Chiao Tung University 1001 Ta Hsueh Road Hsinchu 300 Taiwan WPI-Advanced Institute for Materials Research Tohoku University Aoba-ku Sendai Miyagi 9808577 Japan Graduate School of Information Science and Technology Hokkaido University Kita 14 Nishi 9 Kita-ku Sapporo Japan CREST Japan Science and Technology Agency 5 Sanbancho Chiyoda-ku Tokyo Japan Institute of Fluid Science Tohoku University Aoba-ku Sendai Miyagi 9808577 Japan

We theoretically study the impact of changes in surroundings on the electron ground-state effective g factor in defect-free GaAs/AlGaAs nanodisks. To perform the study, we formulate and deploy a computational efficient full three-dimensional model to describe the effective g-factor tensor in semiconductor nano-objects of complex geometry and material content. This model is based on an effective 2×2 conduction-band Hamiltonian which includes the Rashba and Dresselhaus spin-orbit couplings. The description is suited to clarify the important question of the controllability of the electron effective g factor in semiconductor nano-objects. The results of this theoretical study suggest that in the defect-free GaAs/AlGaAs nanodisks, the effective g factor can be tuned within a wide range by proper design of the nanodisk environment. The zz components of the electron effective g-factor tensor obtained in our simulation are in good agreement with some recent experimental observations.

关键词： TUNING (Electronics) ELECTRONS GALLIUM arsenide NANOSTRUCTURED materials GROUND state (Quantum mechanics) SEMICONDUCTORS CONDUCTION band SPIN-orbit coupling

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Comparison between wire and wireless EEG acquisition systems based on SSVEP in an Independent-BCI

Comparison between wire and wireless EEG acquisition systems...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Richard M. G. Tello Sandra M. T. Müller Teodiano Bastos-Filho Andre Ferreira Post-Graduate Program of Electrical Engineering (PPGEE). UFES Vitoria Brazil Department of Computer and Electronics (CEUNES) Brazil

This paper presents a comparison between two different technologies of acquisition systems (BrainNet36 and Emotiv Epoc) for an Independent-BCI based on Steady-State Visual Evoked Potential (SSVEP). Two stimuli separat... 详细信息

关键词： Visualization Electrodes Indexes Accuracy Brain-computer interfaces Synchronization Feature extraction

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Foreword

Signals and Communication Technology

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Signals and Communication Technology 2014年 ix-x页

作者： Heinzelman, Wendi Graduate Studies for Arts Sciences and Engineering Electrical and Computer Engineering Professor of Computer Science University of Rochester RochesterNY United States

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