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21st ACM International Conference on Multimedia, MM 2013

作者： Zhang, Chunjie Zhang, Yifan Wang, Shuhui Pang, Junbiao Liang, Chao Huang, Qingming Tian, Qi School of Computer and Control Engineering University of Chinese Academy of Sciences 100049 Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China Key Lab of Intell. Info. Process Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China College of Computer Science and Technology Beijing University of Technology 100124 Beijing China School of Computer National Engineering Research Center for Multimedia Software Wuhan University 430072 Wuhan China Department of Computer Sciences University of Texas at San Antonio San Antonio TX 78249 United States

ISBN: (纸本)9781450324045

The bag of visual words model (BoW) and its variants have demonstrate their effectiveness for visual applications and have been widely used by researchers. The BoW model first extracts local features and generates the corresponding codebook, the elements of a codebook are viewed as visual words. The local features within each image are then encoded to get the final histogram representation. However, the codebook is dataset dependent and has to be generated for each image dataset. This costs a lot of computational time and weakens the generalization power of the BoW model. To solve these problems, in this paper, we propose to undo the dataset bias by codebook linear transformation. To represent every points within the local feature space using Euclidean distance, the number of bases should be no less than the space dimensions. Hence, each codebook can be viewed as a linear transformation of these bases. In this way, we can transform the pre-learned codebooks for a new dataset. However, not all of the visual words are equally important for the new dataset, it would be more effective if we can make some selection using sparsity constraints and choose the most discriminative visual words for transformation. We propose an alternative optimization algorithm to jointly search for the optimal linear transformation matrixes and the encoding parameters. Image classification experimental results on several image datasets show the effectiveness of the proposed method. Copyright © 2013 ACM.

关键词： Linear transformations

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Enhanced biosensing based on chemical or mechanical optical clearing

Enhanced biosensing based on chemical or mechanical optical ...

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Asia Communications and Photonics Conference, ACP 2013

作者： Zhu, Dan Wen, Xiang Wang, Jing Zhang, Yang Yu, Tingting Luo, Qingming Bashkatov, Alexey N. Genina, Elina A. Sinichkin, Yuri P. Tuchin, Valery V. Wuhan National Laboratory for Optoelectronics Britton Chance Center for Biomedical Photonics Huazhong University of Science and Technology Wuhan 430074 China Department of Biomedical Engineering Key Laboratory of Biomedical Photonics Huazhong University of Science and Technology Wuhan 430074 China Research-Educational Institute of Optics and Biophotonics Saratov State University Saratov 410012 Russia Institute of Precise Mechanics and Control RAS Saratov 410028 Russia Optoelectronics and Measurement Techniques Laboratory University of Oulu P.O. Box 4500 Oulu FIN-90014 Finland

Both the chemicals and mechanical stress can reduce the scattering of tissue or background noise, which enhances the ability of optical biosensing. This presentation summarizes the principles and applications of tissu... 详细信息

ISBN: (纸本)9781557529893

关键词： Tissue

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Synchronization of FitzHugh-Nagumo systems: An adaptive approach

Synchronization of FitzHugh-Nagumo systems: An adaptive appr...

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2012 8th International Conference on Natural Computation, ICNC 2012

作者： Wei, Wei Zuo, Min Liu, Zaiwen Wang, Jing Department of Automatic Control Computer and Information Engineering School Beijing Technology and Business University Beijing China National Engineering Research Center of Advanced Rolling University of Science and Technology Beijing China

ISBN: (纸本)9781457721311

In this article, synchronization of FitzHugh-Nagumo (FHN) neurons is considered. Adaptive controller based on active compensation is adopted to drive the slave neuron to track the master neuron. Sufficient condition for asymptotic stability of the close-loop system is derived. Numerical simulation results are given to confirm the adaptive controller is valid. © 2012 IEEE.

关键词： Neurons

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A Hierarchal Classifier for Identifying Independent Components

A Hierarchal Classifier for Identifying Independent Componen...

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International Joint Conference on Neural Networks

作者： Chin-Teng Lin Yu-Kai Wang Shi-An Chen Department of Electrical and Control Engineering and Brain Research Center National Chiao-Tung University Department of Computer Science and Brain Research Center National Chiao-Tung University

ISBN: (纸本)9781467314886

Brain-computer interface (BCI) has shown explosive growth for multiple applications in the recently years. Removing artifacts and selecting useful brain sources are essential in BCI research. Independent Component Analysis (ICA) has been proven as an effective technique to remove artifacts and many brain related researches are based on ICA. However, the useful independent components with brain sources are usually selected manually according to the scalp-plots. This is great inconvenience and a barrier for real-time BCI applications of EEG. In this investigation, a two-layer automatic identification model is proposed to select useful brain sources. It is based on neural network including support vector machine with radial basis function (SVMRBF) and self-organizing map (SOM). In the first layer, SVM discriminates useful independent components from the artifact effectively. In the second layer, these selected useful components are automatically classified to different spatial brain sources according to SOM. This study suggests this model to one general application for EEG study. It can reduce the effect of subjective judgment and improve the performance of EEG analysis.

关键词： Component Brain-computer interface Independent component analysis Electroencephalogram Neural network independent components Electroencephalography Independent component analysis self-organising feature maps Support Vector Network Artifacts Cerebrum islet cell antibody Scalp Classifiers

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Performance Evaluation of Intelligent Adaptive Traffic control Systems: A Case Study

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Journal of Transportation Technologies 2012年第3期2卷 248-259页

作者： Saeed Samadi Ali Pajoumand Rad Farhad Mohammad Kazemi Hamed Jafarian Department of Computer Engineering Payame Noor University Mashhad Iran Department of EE Research Institute of Food Science & Technology Mashhad Iran Mashhad Traffic Control Center Mashhad Traffic and Transportation Organization Mashhad Iran

Mashhad, the second largest city in Iran, like many other big cities, is faced with increasing traffic congestion owing to rapidly increasing population and annual pilgrimage. In recent years, Mashhad traffic and transportation authorities have been challenged with how to manage the increasing congestion with limited budgets for major roadway construction projects. Mashhad has recognized the need to improve the existing system capacity to get the most out of their cur- rent transportation system infrastructures. Since most of the delay times occur at signalized intersections, using an intelligent control system with proper capabilities to overcome the growing traffic requirements is recommended. Following comprehensive studies carried out with the aim of developing the Mashhad traffic control center, the SCATS adaptive traffic control system was introduced as the selected intelligent control system for integrating signalized intersections. The first intersection was equipped with this system in 2005. This paper describes the results of a field evaluation in which fixed actuated-coordinated signal timings are compared with those dynamically computed by SCATS. The ef- fects of this system on optimizing fuel consumption as well as reducing air pollutants are fully discussed. It is found that SCATS consistently reduced travel times and the average delay per stopped or approaching vehicle. The positive impact of adaptive traffic control systems on fuel consumption and air pollution are also highlighted.

关键词： ITS Adaptive Traffic control SCATS Measure of Effectiveness Delay Travel Time

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A trim distance between positions in nucleotide sequences

A trim distance between positions in nucleotide sequences

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15th International Conference on Discovery science, DS 2012

作者： Makino, Shunsuke Shimada, Takaharu Hirata, Kouichi Yonezawa, Kouki Ito, Kimihito Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka 820-8502 Japan Department of Artificial Intelligence Kyushu Institute of Technology Kawazu 680-4 Iizuka 820-8502 Japan Department of Computer Bioscience Nagahama Institute of Bio-Science and Technology Tamura 1266 Nagahama 526-0829 Japan Division of Bioinformatics Research Center for Zoonosis Control Hokkaido University North 20 West 10 Sapporo 001-0020 Japan

ISBN: (纸本)9783642334917

In this paper, first we introduce a label-based closest-neighbor trimming method to trim a phylogenetic tree built from nucleotide sequences according to the labels of leaves. Next, by replacing the indices of nucleotide sequences as labels of leaves with the nucleotides occurring in a position, we formulate a trim distance between two positions in nucleotide sequences as the LCA-preserving distance between the trimmed phylogenetic trees according to nucleotides occurring in the positions. Finally, we apply the trim distance to compare pandemic influenza A (H1N1) viruses with non-pandemic ones. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Nucleotides

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Synchronization of FitzHugh-Nagumo systems: An adaptive approach

Synchronization of FitzHugh-Nagumo systems: An adaptive appr...

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International Conference on Natural Computation (ICNC)

作者： Wei Wei Min Zuo Zaiwen Liu Jing Wang Department of Automatic Control Computer and Information Engineering School Beijing Technology and Business University Beijing China National Engineering Research Center of Advanced Rolling University of Science and Technology Beijing China

关键词： Synchronization Neurons Adaptation models Closed loop systems Analytical models Adaptive systems Numerical simulation

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A Trim Distance between Positions as Packaging Signals in H3N2 Influenza Viruses

A Trim Distance between Positions as Packaging Signals in H3...

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International Conference on Soft Computing and Intelligent Systems

作者： Shunsuke Makino Takaharu Shimada Kouichi Hirata Kouki Yonezawa Kimihito Ito Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Department of Artificial Intelligence & Biomedical Informatics R&D Center Kyushu Institute of Technology Department of Computer Bioscience Nagahama Institute of Bio-Science and Technology Research Center for Zoonosis Control Hokkaido University

ISBN: (纸本)9781467327428

A trim distance as a phylogeny-based distance between two positions in nucleotide sequences is formulated as an LCA-preserving distance between the trimmed phylogenetic trees by the positions. In this paper, in order to investigate the positions as packaging signals of nucleotide sequences in influenza A (H3N2) viruses, we compute and compare the trim distances between positions in the nucleotide sequences of influenza A (H3N2) viruses provided from NCBI.

关键词： Packaging signal Influenza viruses Trim distance

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Analytical Electron Microscopy of Semiconductor Nanowire Functional Materials and Devices for Energy Applications

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Journal of Physics: Conference Series 2013年第1期471卷

作者： V P Oleshko E H Williams A V Davydov S Krylyuk A Motayed D Ruzmetov T Lam H J Lezec A A Talin Department of Chemistry and Biochemistry and Department of Electrical and Computer Engineering George Mason University Fairfax Virginia 22030 USA Institute for Research in Electronics and Applied Physics University of Maryland College Park Maryland 20742 USA Sandia National Laboratories Livermore California 94551 USA Material Measurement Laboratory and Center for Nanoscale Science and Technology National Institute of Standards and Technology Gaithersburg Maryland 20899 USA

Functionalized individual semiconductor nanowires (SNWs) and 3D SNW arrays attract a continuously growing interest for applications in optoelectronics, sensing, and energy storage. High-resolution field-emission analytical (scanning) transmission electron microscopy ((S)TEM) enables critical insights into the morphology, crystalline and electronic structures and chemical composition of single-crystalline high-aspect-ratio SNWs as prospective building blocks suitable for both a large scale-up synthesis and fabrication. Furthermore, SNW-based lab-on-a-chip devices may allow direct correlation between functional properties tailored for specific performance and the heterostructure morphology and atomic arrangement of the nanoscale structure being analyzed in various (S)TEM modes.

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International Conference on Soft Computing and Intelligent Systems

作者： Takaharu Shimada Tatsuya Hazemoto Shunsuke Makino Kouichi Hirata Kimihito Ito Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology Department of Artificial Intelligence Kyushu Institute of Technology Department of Artificial Intelligence & Biomedical Informatics R&D Center Kyushu Institute of Technology Research Center for Zoonosis Control Hokkaido University

ISBN: (纸本)9781467327428

In order to capture a selective packaging mechanism among eight RNA segments in influenza A viruses, we assume that almost nucleotides in the positions of packaging signals must be simultaneously changed. In this paper, we formulate such positions as correlated mutations based on a joint entropy ratio, develop a method of finding all of them by using set enumeration with pruning and apply to nucleotide sequences among RNA segments in H3N2 influenza viruses.

关键词： Packaging signal Influenza viruses Correlated mutation

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