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International Conference on Telecommunications Energy (INTELEC)

作者： Joonseon Ahn Sung Chul Go Seungjoo Kim Ju Lee Hee-jun Kim Dept. of Electrical Eng. Osan University Korea Dept. of Electrical Enz. Hanyang University Korea Department of Electrical Control and Instrumentation Biomedical Engineering Hanyang University South Korea Dept. of Electrical Hanyana University Korea Dept. of Electrical Eng. and Computer Science Hanyang University Korea

ISBN: (纸本)9781424424900

In this paper, authors are proposed drive system for BLDCM using motor drivers based on LabVIEW. Most researchers generally use Matlab/Simulink program as computer simulation tool for their control system design. These control system must be coded to the motor drivers using program language such as C for its verification. We developed drive system using LabVIEW, it is able to complete whole process from control system design to verification of control system without program coding. Authors also proposed power conversion stack designed for LabVIEW controller and BLDCM drive.

关键词： Digital control

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Fuzzy learning vector quantization based on particle swarm optimization for artificial odor dicrimination system

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WSEAS Transactions on systems 2009年第12期8卷 1239-1252页

作者： Jatmiko, W. Rochmatullah Kusumoputro, B. Sekiyama, K. Fukuda, T. Faculty Computer Science University of Indonesia Depok West Java 16424 Indonesia Faculty of Engineering University of Indonesia Depok West Java 16424 Indonesia Dept. of Micro-Nano Systems Engineering Nagoya University Chikusa-ku Nagoya Japan

An electronic nose system had been developed by using 16 quartz resonator sensitive membranesbasic resonance frequencies 20 MHz as a sensor, and analyzed the measurement data through various neural network as a pattern recognition system. The developed system showed high recognition probability to discriminate various single odors even mixture odor to its high generality properties;however the system still need improvement. In order to improve the performance of the proposed system, development of the sensor and other neural network are being sought. This paper explains the improvement of the capability of that system from the point of neural network system. It has been proved from our previos work that FLVQ (Fuzzy Learning Vectoq Quantization) which is LVQ (Learning Vector Quantization) together with fuzzy theory shows high recognition capability compared with other neural networks, however FLVQ have a weakness for selecting the best codebook vector that will influence the result of recognition. This problem will be anticipated by adding the PSO (Particle Swarm Optimization) method to select the best codebook vector. Then experiment showt that the new recognition system (FLVQ-PSO) has produced higher capability compared to the earlier mentioned system.

关键词： Electronic nose

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Towards sustainable infrastructure management: Knowledge-based service-oriented computing framework for visual analytics

Towards sustainable infrastructure management: Knowledge-bas...

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SPIE Defense, Security, and Sensing

作者： Vatcha, Rashna Lee, Seok-Won Murty, Ajeet Tolone, William Wang, Xiaoyu Dou, Wenwen Chang, Remco Ribarsky, William Liu, Wanqiu Chen, Shen-En Hauser, Edd Dept. of Software and Information Systems University of North Carolina at Charlotte 9201 University City Blvd Charlotte NC 28223-0001 United States Dept. of Computer Science University of North Carolina at Charlotte 9201 University City Blvd Charlotte NC 28223-0001 United States Charlotte Visualization Center University of North Carolina at Charlotte 9201 University City Blvd Charlotte NC 28223-0001 United States Dept. of Civil Engineering University of North Carolina at Charlotte 9201 University City Blvd Charlotte NC 28223-0001 United States

ISBN: (纸本)9780819476128

Infrastructure management (and its associated processes) is complex to understand, perform and thus, hard to make efficient and effective informed decisions. The management involves a multi-faceted operation that requires the most robust data fusion, visualization and decision making. In order to protect and build sustainable critical assets, we present our on-going multi-disciplinary large-scale project that establishes the Integrated Remote Sensing and Visualization (IRSV) system with a focus on supporting bridge structure inspection and management. This project involves specific expertise from civil engineers, computer scientists, geographers, and real-world practitioners from industry, local and federal government agencies. IRSV is being designed to accommodate the essential needs from the following aspects: 1) Better understanding and enforcement of complex inspection process that can bridge the gap between evidence gathering and decision making through the implementation of ontological knowledge engineering system;2) Aggregation, representation and fusion of complex multi-layered heterogeneous data (i.e. infrared imaging, aerial photos and ground-mounted LIDAR etc.) with domain application knowledge to support machine understandable recommendation system;3) Robust visualization techniques with large-scale analytical and interactive visualizations that support users' decision making;and 4) Integration of these needs through the flexible Service-oriented Architecture (SOA) framework to compose and provide services on-demand. IRSV is expected to serve as a management and data visualization tool for construction deliverable assurance and infrastructure monitoring both periodically (annually, monthly, even daily if needed) as well as after extreme events. © 2009 SPIE.

关键词： Decision making

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Duplex narrowcasting operations for multipresent groupware avatars on mobile devices

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International Journal of Wireless and Mobile Computing 2009年第4期3卷 280-287页

作者： Cohen, Michael Fernando, Owen Noel Newton Duminduwardena, Uresh Chanaka Kawaguchi, Makoto Spatial Media Group University of Aizu Aizu-Wakamatsu Fukushima 965-8580 Japan Dept. of Computer and Information Systems Graduate School of Computer Science and Engineering University of Aizu Japan Software Engineering Services Dialog Telekom PLC Colombo Sri Lanka Japan Research Institute Tokyo Japan

The apparent paradoxes of multipresence, having avatars in multiple places simultaneously, are resolvable by an 'autofocus' feature, which uses reciprocity to project overlaid soundscapes and simulate the precedence effect to consolidate the display. We have developed an interface for narrowcasting functions for networked mobile devices deployed in a Collaborative Virtual Environment. Featuring multiple icons in a '2.5D' application, the interface can be used to control motion, sensitivity, and audibility of avatars in a teleconference. The interface is integrated with other clients through a 'servent' (server/client hybrid) HTTP-TCP/IP bridge, interoperating with a heterogeneous groupware suite including stereographic panoramic browsers and spatial audio backends and speaker arrays. Copyright © 2009 Inderscience Enterprises Ltd.

关键词： Groupware

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A new estimation method by utilizing on-line tracking simulator

A new estimation method by utilizing on-line tracking simula...

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ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009

作者： Nakaya, Makoto Nakabayashi, Akio Ohtani, Tetsuya Ikegaya, Yoshihiro Asawa, Satoshi Terashima, Nobuhiko Izawa, Yuji Ogata, Marina Gravina Systems and Control Research Center Corporate R and D Headquarters Yokogawa Electric Corp. 2-9-32 Nakacho Musashino-shi Tokyo 180-8750 Japan IA Systems Business Center R and D Management Dept. Yokogawa Electric Corp. 2-9-32 Nakacho Musashino-shi Tokyo 180-8750 Japan IA Systems Business Center Product Information R and D Dept. Yokogawa Electric Corp. 2-9-32 Nakacho Musashino-shi Tokyo 180-8750 Japan Engineering Department Yokogawa South America Corp. 2-9-32 Nakacho Musashino-shi Tokyo 180-8750 Japan

ISBN: (纸本)9784907764296

In the chemical process, it is hard to describe the polymer property by a rigorous model based on the physical and chemical theory. The soft sensor with the statistical data processing is often used for modeling to monitor and to control the polymer quality. We confirmed regarding the estimation accuracy that using data from the on-line tracking simulator is better than using data from the conventional use of the soft sensor. The on-line tracking simulator perfectly simulates the target and provides the virtual input data which can not be measured by the soft sensor on the real time. We propose the application of the rigorous and the statistical model to the plant operation. © 2009 SICE.

关键词： Simulators

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Making the first steps towards solar power from space- Microgravity experiments testing the deployment of large antennas

Making the first steps towards solar power from space- Micro...

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60th International Astronautical Congress 2009, IAC 2009

作者： Summerer, Leopold Purcell, Oisin Vasile, Massimiliano Tibert, Gunnar Kaya, Nobuyuki ESA Advanced Concepts Team Keplerlaan 1 NL-2201AZ Noordwijk Netherlands Space Advanced Research Team Department of Aerospace Engineering University of Glasgow G12 8QQ Glasgow United Kingdom Department of Mechanics KTH Royal Institute of Technology SE-10044 Stockholm Sweden Dept. of Computer and Systems Engineering Kobe University 1-1 Rokkodai Nada 657-8501 Kobe Japan

ISBN: (纸本)9781615679089

Concepts for solar power from space have received renewed attention over the past year. High costs for fossil fuel during most of 2007 and 2008 have contributed to increasing the interest not only in traditional renewable energy sources but also in options usually considered as rather "exotic". Solar power from space is one of these. Given the potential size of such an endeavour, it is particularly important to demonstrate its feasibility and convince energy sector representatives and critics via concrete demonstrator projects targeting key technologies. The construction of a light-weight, very large structure as needed for transmitting antennas and the demonstration of wireless power transmission over very large distances are two of these key technologies. The present paper presents two experiments Furoshiki-2 and Suaineadh addressing these key technologies.

关键词： Fossil fuels

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Nintendo Wii Balance board for balance disorders

Nintendo Wii Balance board for balance disorders

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International Workshop on Virtual Rehabilitation

作者： Jose-Antonio Gil-Gomez Jose-Antonio Lozano Mariano Alcaniz Sergio Albiol Perez Inst. Bioingeniería y Tecnologia Orientada al Ser Humano Universidad Politecnica de Valencia Valencia España Computer Science and Systems Engineering Dept. University of Zaragoza Teruel España

This contribution presents the eBaViR System, a virtual rehabilitation system designed to be used in the patient's home. The system uses a conventional PC and the Wii Balance Board to carry out exercises specifica... 详细信息

关键词： computer science systems engineering and theory Feedback Aging Robustness System testing Stability User centered design Finishing Ergonomics

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ON PREDICTIVE CODING FOR ERASURE CHANNELS USING A KALMAN FRAMEWORK

ON PREDICTIVE CODING FOR ERASURE CHANNELS USING A KALMAN FRA...

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European signal processing conference

作者： Thomas Arildseri Manohar N. Murthf Soren Vang Andersen Soren Holdt Jensen Dept. of Electronic Systems Aalborg University Fredrik Bajersvej 7 9220 Aalborg Denmark Electrical and Computer Engineering Univ. of Miami 1251 Memorial Drive Coral Gables FL 33146 USA

ISBN: (纸本)9781617388767

We present a new design method for robust low-delay coding of auto-regressive (AR) sources for transmission across erasure channels. The method is based on Linear Predictive Coding (LPC) with Kalman estimation at the decoder. The method designs the encoder and decoder offline through an iterative algorithm based on minimization of the trace of the decoder state error covariance. The design method applies to stationary AR sources of any order. Simulation results show considerable performance gains, when the transmitted quantized prediction errors are subject to loss, in terms of Signal-to-Noise Ratio (SNR) compared to the same coding framework optimized for no loss. We furthermore investigate the impact on decoding performance when channel losses are correlated. We find that the method still provides substantial improvements in this case despite being designed for i.i.d. losses.

关键词： Channel loss design approach decoders Error of prediction ENCODER Iterative algorithms coding

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SEMANTIC ANNOTATION OF PERSONAL VIDEO CONTENT USING AN IMAGE FOLKSONOMY

SEMANTIC ANNOTATION OF PERSONAL VIDEO CONTENT USING AN IMAGE...

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International Conference on Image Processing

作者： Hyun-seok Min JaeYoung Choi Wesley De Neve Yong Man Ro Konstantinos N. Plataniotis Image and Video Systems Lab Korea Advanced Institute of Science and Technology (KAIST) Multimedia Lab The Edward S. Rogers Sr. Dept. of Electrical and Computer Engineering (ECE) University of Toronto

ISBN: (纸本)9781424456536;9781424456543

The increasing popularity of user-generated content (UGC) requires effective annotation techniques in order to facilitate precise content search and retrieval. In this paper, we propose a new approach for the semantic annotation of personal video content, taking advantage of user-contributed tags available in an image folksonomy. Video shots and folksonomy images are first represented by a semantic vector. Next, the semantic vectors are used to measure the semantic similarity between each video shot and the folksonomy images. Tags assigned to semantically similar folksonomy images are then used to annotate the video shots. To verify the effectiveness of the proposed annotation method, experiments were performed with video sequences retrieved from YouTube and images downloaded from Flickr. Our experimental results demonstrate that the proposed method is able to successfully annotate personal video content with user-contributed tags retrieved from an image folksonomy. In addition, the size of our tag vocabulary is significantly higher than the size of the tag vocabulary used by conventional annotation methods.

关键词： Folksonomy Semantic annotation User-generated content Video indexing User generated content Videotapes images ANNOTATIONS Semantics TAGGING YouTube

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Visualization and statistical analysis of fuzzy-neuro learning vector quantization based on particle swarm optimization for recognizing mixture odors

Visualization and statistical analysis of fuzzy-neuro learni...

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International Symposium on Micromechatronics and Human Science (MHS)

作者： W. Jatmiko Rochmatullah B. Kusumoputro H.R. Sanabila K. Sekiyama T. Fukuda Faculty Computer Science University of Indonesia Depok West Java Indonesia Faculty Computer Science University of Indonesia Depok INDONESIA Faculty of Engineering University of Indonesia Depok West Java Indonesia Faculty of Engineering University of Indonesia Depok INDONESIA Dept. of Micro-Nano Systems Engineering Nagoya University Nagoya JAPAN

An electronic nose system had been developed by using 16 quartz resonator sensitive membranes-basic resonance frequencies 20 MHz as a sensor, and analyzed the measurement data through various neural network as a pattern recognition system. The developed system showed high recognition probability to discriminate various single odors even mixture odor to its high generality properties; however the system still need improvement. In order to improve the performance of the proposed system, development of the sensor and other neural network are being sought. This paper explains the improvement of the capability of that system from the point of neural network system. It has been proved from our previous work that FLVQ (fuzzy learning vector quantization) which is LVQ (learning vector quantization) together with fuzzy theory shows high recognition capability compared with other neural networks, however FLVQ have a weakness for selecting the best codebook vector that will influence the result of recognition. This problem will be anticipated by adding the PSO (particle swarm optimization) method to select the best codebook vector. Then experiment show that the new recognition system (FLVQ-PSO) has produced higher capability compared to the earlier mentioned system.

关键词： Statistical analysis Vector quantization Particle swarm optimization Neural networks Sensor systems Fuzzy neural networks Data visualization Electronic noses Resonance Resonant frequency

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