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Cognitive deficit in Alzheimer'/INS;s disease and during aging and self-organized criticality

Journal of the Neurological Sciences 2013年 333卷 e355-e356页

作者： O. Vysata A. Prochazka M. Valis J. Horejs L. Pazdera Department of Neurology Charles University in Prague Faculty /INS；Hospital Hradec Kralove /INS；Czech Republic/INS Department of Computing and Control Engineering Institute of Chemical Technology Prague /INS；Czech Republic/INS Neurology Neurocentre Caregroup Ltd. Rychnov nad Kneznou Czech Republic

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Bearing-Only Tracking with a Mixture of von Mises Distributions

Bearing-Only Tracking with a Mixture of von Mises Distributi...

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IEEE/RSJ International Conference on Intelligent Robotics and Systems

作者： Ivan Markovi? Ivan Petrovi? I. Markovi? and I. Petrovi? are with University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering HR-10000 Zagreb Croatia

ISBN: (纸本)9781467317375

This paper presents a novel method for Bayesian bearing-only tracking. Unlike the classical approaches, which involve using Gaussian distribution, the tracking procedure is completely covered with the von Mises distribution, including state representation, transitional probability, and measurement model, since it captures and models well the peculiarities of directional data. The state is represented with a mixture of von Mises distributions, thus offering advantages of being able to model multimodal distributions, handle nonlinear state transition and measurement models, and to completely cover the whole state space, all with a modest number of parameters. The tracking procedure is solved by convolution with a von Mises distribution (prediction step) and multiplication with a mixture representing the measurement model (update step). Since in the update step the number of mixture components grows exponentially, a method is presented for component reduction of a von Mises mixture. Furthermore, a closed-form solution is derived for quadratic Rényi entropy of the von Mises mixture. The algorithm is tested and compared to a particle filter representation in a speaker tracking scenario on a synthetic data set and real-world recordings. The results supported the proposed approach and showed similar performance to the particle filter.

关键词： Mises Distributions to completely von Mises mixture

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A recursive local linear estimator for identification of nonlinear ARX systems

A recursive local linear estimator for identification of non...

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Universite Libre de Bruxelles

作者： Zhao, Wen-Xiao Zheng, Wei Xing Bai, Er-Wei Key Laboratory of Systems and Control Academy of Mathematics and Systems Science CAS Beijing China National Center for Mathematics and Interdisciplinary Sciences CAS Beijing China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia Department of Electrical and Computer Engineering University of Iowa Iowa City IA 52242 United States

In this work, we propose a recursive local linear estimator (RLLE) for identification of nonlinear autoregressive systems with exogenous inputs, along with an analysis of its strong consistency and asymptotical mean s... 详细信息

ISBN: (纸本)9783902823069

关键词： Mean square error

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An experimental study of the effects of source/drain to gate overlap in pentacene thin-film transistors

An experimental study of the effects of source/drain to gate...

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作者： Park, Jaehoon Do, Lee-Mi Pearson, Christopher Petty, Michael Kim, Dong Wook Choi, Jong Sun IT Convergence Technology Research Laboratory Electronics and Telecommunications Research Institute Daejeon 305-700 Korea Republic of School of Engineering and Computing Sciences Centre for Molecular and Nanoscale Electronics Durham University Durham DH1 3LE United Kingdom Department of Electrical Information and Control Engineering Hongik University Seoul 121-791 Korea Republic of

The effects of the source/drain (S/D) to gate overlap on the electrical characteristics of pentacene organic thin-film transistors (OTFTs) are reported. The S/D to gate overlap dimension was varied by adjusting the gate width, while the channel length and width were fixed. The threshold voltage was found to decrease on increasing the overlap dimension;in contrast, the field-effect mobility increased. These characteristic variations are explained on aspects of charge injection and transport properties in pentacene OTFTs, due to the presence of S/D to gate overlaps. The results demonstrate the significant effect of the overlap on the OTFT performance. © 2012 The Japan Society of Applied Physics.

关键词： Threshold voltage

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Recursive filtering for a class of nonlinear systems with missing measurements

Recursive filtering for a class of nonlinear systems with mi...

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2012 UKACC International Conference on control, control 2012

作者： Hu, Jun Wang, Zidong Shen, Bo Cai, Chenxiao Lam, James Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Information Systems and Computing Brunel University London UB8 3PH United Kingdom Institute for Automatic Control and Complex Systems University of Duisburg-Essen D-47057 Duisburg Germany School of Automation Nanjing University of Science and Technology 210094 Nanjing China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781467315609

This paper is concerned with the finite-horizon recursive filtering problem for a class of nonlinear time-varying systems with missing measurements. The missing measurements are modeled by a series of mutually independent random variables obeying Bernoulli distributions with possibly different occurrence probabilities. Attention is focused on the design of a recursive filter such that, for the missing measurements, an upper bound for the filtering error covariance is guaranteed and such an upper bound is subsequently minimized by properly designing the filter parameters at each sampling instant. The desired filter parameters are obtained by solving two Riccati-like difference equations that are of a recursive form suitable for online applications. A simulation example is exploited to demonstrate the effectiveness of the proposed filter design scheme. © 2012 IEEE.

关键词： Difference equations

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Modelling of a pan and tilt servo system

Modelling of a pan and tilt servo system

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UKACC International Conference on control (control)

作者： Samuel Sharp Adam Wicks Andrzej Ordys Gordana Collier Control Systems Department Chess Dynamics Ltd. Horsham United Kingdom Faculty of Science Engineering and Computing Kingston University Kingston upon Thames UK

Two-axis pan and tilt systems are widely used in surveillance applications for high accuracy positioning of sensor payloads such as cameras and laser pointers. In order to develop advanced control algorithms to improve the performance of these systems, a model of the system must be developed. This model should include the dynamics of the system to include effects such as compliance and account for friction effects in the drive. This paper discusses the development of the overall model of the system using National Instruments LabVIEW, and in particular, the models for friction and the drive train that will be used.

关键词： Mathematical model Friction Harmonic analysis Load modeling DC motors Servomotors Equations

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Epidemic reemergence in adaptive complex networks

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Physical Review E 2012年第3期85卷 036107-036107页

作者： J. Zhou G. Xiao S. A. Cheong X. Fu L. Wong S. Ma T. H. Cheng Division of Communication Engineering School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Links Singapore 637371 Computing Science Department Institute of High Performance Computing Singapore 138623 School of Computing and School of Medicine National University of Singapore Singapore 117417 Epidemiology and Disease Control Division Ministry of Health Singapore 169854

The dynamic nature of a system gives rise to dynamical features of epidemic spreading, such as oscillation and bistability. In this paper, by studying the epidemic spreading in growing networks, in which susceptible nodes may adaptively break the connections with infected ones yet avoid being isolated, we reveal a phenomenon, epidemic reemergence, where the number of infected nodes is incubated at a low level for a long time and then erupts for a short time. The process may repeat several times before the infection finally vanishes. Simulation results show that all three factors, namely the network growth, the connection breaking, and the isolation avoidance, are necessary for epidemic reemergence to happen. We present a simple theoretical analysis to explain the process of reemergence in detail. Our study may offer some useful insights, helping explain the phenomenon of repeated epidemic explosions.

关键词： GRAPH theory OSCILLATIONS SIMULATION methods & models EPIDEMICS INFECTION ADAPTIVE control systems

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Sparse MEG Source Localization on Parameterized Cortical Medial Surface

Sparse MEG Source Localization on Parameterized Cortical Med...

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Iranian Conference of Biomedical engineering

作者： Hamid Khosravi Mahsa Mohammadkhani Hamid Soltanian-Zadeh Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering Faculty of Engineering University of Tehran Tehran Iran Department of Computing Science University of Alberta Edmonton Alberta (AB) Canada

ISBN: (纸本)9781467331289

The inverse mapping in MagnetoEncephaloGraphy involves localizing neuronal activity of the gray matter tissue from measured signals around the head. The search space of the inverse mapping is conventionally represented in 3-D Cartesian coordinates including the cortical volume, or alternatively, 2-D manifold describing the cortical tissue. 3-D Cartesian coordinates does not suit sparse regularization of the inverse mapping in multi-resolution source domains. On the other hand, boundary surface of the cortex, represented as triangulated mesh, is used as the search space in some other inverse mapping techniques. However, this surface does not represent depth of the cortex. Moreover, to represent neuronal activity in embedded signal dictionaries, convoluted manifold should be gridded. In this paper we propose to use medial surface as the best surface descriptor of the cortical tissue. Furthermore, manifold gridding is constructed by defining bijective mapping between a flattened parameterized domain and convoluted surface. Signal bases are defined conventionally in the parameterized domain and mapped to the cortical volume by means of the bijective mapping. Medial surface of the cortex tissue, represented as triangulated mesh, is extracted by gradient-based search algorithm. Source localization, for simulated neuronal activity, is performed in real head model extracted from magnetic resonance images. Sparse estimated source of the inverse mapping are compared on volume, boundary surface, and medial surface domains. Simulation results confirm advantages of surface over volume domain. Performnace measures of source localization proves the medial surface as the best surface describing the cortex volume.

关键词： Magneto-encephalography (MEG) Inverse mapping Sparse regularization Multi-resolution Medial surface Mesh parameterization

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A novel segmentation method for convex lesions based on dynamic programming with local intra-class variance 12

A novel segmentation method for convex lesions based on dyna...

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27th Annual ACM Symposium on Applied computing, SAC 2012

作者： Yu, Mali Huang, Qiliang Jin, Renchao Song, Enmin Liu, Hong Hung, Chih-Cheng School of Computer Science Huazhong University of Science and Technology Wuhan China Key Laboratory of Education Ministry for Image Processing and Intelligent Control Wuhan Hubei China Radiology Department Second People's Hospital of Nanning Nanning China School of Computing and Software Engineering Southern Polytechnic State University GA United States

ISBN: (纸本)9781450308571

Lesion segmentation plays an important role in medical image processing and analysis. There exist several successful dynamic programming (DP) based segmentation methods for general images. In those methods, the gradient is used as an important factor in the cost function to attract the contours to the boundaries. Since medical images have their characteristics such as low contrast, blurred edges and high noises, the gradient operator cannot work well enough to achieve a satisfactory performance for boundary detection. We define the local intra-class variance and combine it with the dynamic programming method to replace the traditional gradient operation. Experiments on synthetic and X-ray images are carried out and the results are compared with Canny and fast multilevel fuzzy edge detection (FMFED) algorithms. It is demonstrated that the proposed method performs better on medical images with low contrast, blurred edges and high noises. In addition, 483 regions of interest of mammograms randomly extracted from DDSM of the University of South Florida are used to compare our proposed method with the plane-fitting and dynamic programming method (PFDP), and the normalized cut segmentation method (Ncut). The results demonstrate that our method is more accurate and robust than PFDP and Ncut. © 2012 ACM.

关键词： Dynamic programming

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Artificial neural network based prediction of optimal pseudo-damping and meta-damping in oscillatory fractional order dynamical systems

Artificial neural network based prediction of optimal pseudo...

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1st International Conference on Advances in engineering, Science and Management, ICAESM-2012

作者： Das, Saptarshi Pan, Indranil Sur, Khrist Das, Shantanu Department of Power Engineering Jadavpur University Salt-Lake Campus LB-8 Kolkata-700098 India Department of Earth Science and Engineering Research Section Imperial College London Exhibition Road London SW7 2AZ United Kingdom Center for Soft Computing Research Indian Statistical Institute 203 Barrackpore Trunk Road Kolkata-700 1 08 India Reactor Control Division Bhabha Atomic Research Centre Mumbai-400085 India

ISBN: (纸本)9781467302135

This paper investigates typical behaviors like damped oscillations in fractional order (FO) dynamical systems. Such response occurs due to the presence of, what is conceived as, pseudo-damping and meta-damping in some special class of FO systems. Here, approximation of such damped oscillation in FO systems with the conventional notion of integer order damping and time constant has been carried out using Genetic Algorithm (GA). Next, a multilayer feed-forward Artificial Neural Network (ANN) has been trained using the GA based results to predict the optimal pseudo and meta-damping from knowledge of the maximum order or number of terms in the FO dynamical system. © 2012 Pillay engineering College.

关键词： Damping

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