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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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Fusion of Spectral Models for Dynamic Modeling of sEMG and Skeletal Muscle Force

Fusion of Spectral Models for Dynamic Modeling of sEMG and S...

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

作者： Chandrasekhar Potluri Madhavi Anugolu Steve Chiu Alex Urfer Marco P. Schoen D. Subbaram Naidu Measurement and Control Engineering Research Center (MCERC) Idaho State University Pocatello Idaho 83201 USA MCERC Idaho State University Pocatello Idaho 83201 USA Department of Electrical Engineering and Computer Science MCERC Idaho State University Pocatello Idaho 83201 USA Department of Physical and Occupational Therapy Idaho State University Pocatello Idaho 83209 Department of Mechanical Engineering MCERC Idaho State University Pocatello Idaho 83201 USA

ISBN: (纸本)9781424441198

In this paper, we present a method of combining spectral models using a Kullback Information Criterion (KIC) data fusion algorithm. Surface Electromyographic (sEMG) signals and their corresponding skeletal muscle force signals are acquired from three sensors and pre-processed using a Half-Gaussian filter and a Chebyshev Type- II filter, respectively. Spectral models - Spectral Analysis (SPA), Empirical Transfer Function Estimate (ETFE), Spectral Analysis with Frequency Dependent Resolution (SPFRD) - are extracted from sEMG signals as input and skeletal muscle force as output signal. These signals are then employed in a System Identification (SI) routine to establish the dynamic models relating the input and output. After the individual models are extracted, the models are fused by a probability based KIC fusion algorithm. The results show that the SPFRD spectral models perform better than SPA and ETFE models in modeling the frequency content of the sEMG/skeletal muscle force data.

关键词： spectral models using Kullback Information sEMG signals

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Developing a denoising filter for electron microscopy and tomography data in the cloud

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Biophysical Reviews 2012年第3期4卷 223-229页

作者： Starosolski, Zbigniew Szczepanski, Marek Wahle, Manuel Rusu, Mirabela Wriggers, Willy Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology 44-100 Gliwice Akademicka 16 Poland School of Biomedical Informatics University of Texas Health Science Center Houston TX 77030 7000 Fannin St. UCT 600 United States Department of Pediatric Radiology Texas Children's Hospital Houston TX 77030 6621 Fannin St. United States Department of Biomedical Engineering Rutgers The State University of New Jersey Piscataway NJ 08854 599 Taylor Road United States Department of Physiology and Biophysics and Institute for Computational Biomedicine Weill Medical College of Cornell University NY NY 10065 1300 York Ave. United States D. E. Shaw Research NY NY 10036 120 West 45th Street United States

The low radiation conditions and the predominantly phase-object image formation of cryo-electron microscopy (cryo-EM) result in extremely high noise levels and low contrast in the recorded micrographs. The process of single particle or tomographic 3D reconstruction does not completely eliminate this noise and is even capable of introducing new sources of noise during alignment or when correcting for instrument parameters. The recently developed Digital Paths Supervised Variance (DPSV) denoising filter uses local variance information to control regional noise in a robust and adaptive manner. The performance of the DPSV filter was evaluated in this review qualitatively and quantitatively using simulated and experimental data from cryo-EM and tomography in two and three dimensions. We also assessed the benefit of filtering experimental reconstructions for visualization purposes and for enhancing the accuracy of feature detection. The DPSV filter eliminates high-frequency noise artifacts (density gaps), which would normally preclude the accurate segmentation of tomography reconstructions or the detection of alpha-helices in single-particle reconstructions. This collaborative software development project was carried out entirely by virtual interactions among the authors using publicly available development and file sharing tools. © 2012 International Union for Pure and Applied Biophysics (IUPAB) and Springer.

关键词： cryo-EM Digital paths Filtering Helix detection Remote collaboration Supervised classification

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