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

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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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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Mobile living labs 09: Methods and tools for evaluation in the wild

Mobile living labs 09: Methods and tools for evaluation in t...

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Living in a world as colorful as you - 11th International Conference on Human-computer Interaction with Mobile Devices and Services, MobileHCI 2009

作者： Hofte, Henri Ter Jensen, Kasper Løvborg Nurmi, Petteri Froehlich, Jon Novay P.O. Box 589 7500 AN Enschede Netherlands Dept. of Electronic Systems Aalborg University Niels Jernes Vej 12 9220 Aalborg Denmark Helsinki Institute for Information Technology HIIT University of Helsinki P.O. Box 68 FI-00014 Helsinki Finland DUB Institute Computer Science and Engineering University of Washington Seattle WA 98195 United States

ISBN: (纸本)9781605582818

In a Mobile Living Lab, mobile devices are used to evaluate concepts and prototypes in real-life settings. In other words, the lab is brought to the people. This workshop provides a forum for researchers and practitioners to share experiences and issues with methods and tools for Mobile Living Labs. In particular, we seek to bring together people who have applied methods for Mobile Living Labs and people who build tools for those methods. The aim of the workshop is twofold. First, to make an up-to-date overview of current methods and tools for conducting user studies in Mobile Living Labs - highlighting their individual strengths and weaknesses. Second, to uncover challenges that are not adequately addressed by current methods and tools and to come up with ideas and requirements that could fill this gap thus serving as beacons for further research and development in this area.

关键词： Laboratories

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Image Segmentation – A State-Of-Art Survey for Prediction

Image Segmentation – A State-Of-Art Survey for Prediction

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International Conference on Advanced computer Control, ICACC

作者： Shital Adarsh Raut M. Raghuvanshi R. Dharaskar Adarsh Raut Dept. of Comput. Sci. & Eng. G.H. Raisoni Coll. of Eng. Nagpur India Principal Guru Nanak Inst. Of Engg. & Technology Nagpur India Dept. Of Computer Science & Engineering G. H. Raisoni College Of Engineering Nagpur India DGM software ADCC Infocad India

Image segmentation is a technique that partitioned the input image into prerequisite semantic unique regions. Segmentation should stop as object of interest in an application is isolated. The ultimate goal is to make the image more simplified one and that to get more meaningful to analyze. Number of segmentation techniques are available but none of them satisfy the global properties and thus remain challenge for researcher. Many computer applications like object recognition, automatic pictorial pattern recognition, automatic traffic control are based on this analysis. As per need of an application segmentation techniques can be selected. This survey addressed various segmentation techniques, discussed fundamental methodologies, and issues related with specific techniques. It discussed its limitations and probable solution to recover it. It also includes discussion on segmentation technique based on graph partitioning which would be helpful to add intelligence for prediction. Concept of ontology is introduced in short as technical bridge in between segmentation and image prediction.

关键词： Image segmentation Application software Image analysis computer applications Object recognition Pattern recognition Traffic control Pattern analysis Ontologies Bridges

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Mobile data protection using handheld usage context matching 09

Mobile data protection using handheld usage context matching

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2009 10th International Conference on Mobile Data Management: systems, Services and Middleware, MDM 2009

作者： Hu, Wen-Chen Zuo, Yanjun Kaabouch, Naima Yang, Hung-Jen Department of Computer Science University of North Dakota Grand Forks ND 58202-9015 United States Dept. of Information Systems and Business Education University of North Dakota Grand Fork ND 58202-8363 United States Department of Electrical Engineering University of North Dakota Grand Forks ND 58202-7165 United States Department of Industrial Technology Education National Kaohsiung Normal University Kaohsiung City 802 Taiwan

ISBN: (纸本)9780769536507

Handheld devices are easily lost because of their small sizes and high mobility. Personal data like addresses and telephone numbers stored in the devices are revealed when the devices are lost or used by unauthorized persons. This research proposes a novel approach for handheld data protection by using handheld usage context matching. The proposed system consists of five components: (i) usage data gathering, (ii) usage data preparation, (iii) usage pattern discovery, (iv) usage pattern analysis and visualization, and (v) usage pattern applications. Handheld usage context data is collected before applying this method. The usage context is then used to check device usage. When an unusual usage context such as an unlawful user trying to access the handheld data is detected, the device will automatically lock itself down until an action, like entering a password, is taken. Experimental results show this method is effective and convenient for mobile data protection. © 2009 IEEE.

关键词： Data privacy

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Searching for supermaximal repeats in large DNA sequences

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Communications in computer and Information Science 2008年 13卷 87-101页

作者： Lian, Chen Na Halachev, Mihail Shiri, Nematollaah Dept. of Computer Science and Software Engineering Concordia University Montreal QC Canada

ISBN: (纸本)9783540705987

We study the problem of finding supermaximal repeats in large DNA sequences. For this, we propose an algorithm called SMR which uses an auxiliary index structure (POL), which is derived from and replaces the suffix tree index STTD64 [1]. The results of our numerous experiments using the 24 human chromosomes data indicate that SMR outperforms the solution provided as part of the Vmatch [2] software tool. In searching for supermaximal repeats of size at least 10 bases, SMR is twice faster than Vmatch;for a minimum length of 25 bases, SMR is 7 times faster;and for repeats of length at least 200, SMR is about 9 times faster. We also study the cost of POL in terms of time and space requirements. © Springer-Verlag Berlin Heidelberg 2008.

关键词： DNA sequences

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