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Methods of improving protein structure prediction based on HLA neural network and combinatorial fusion analysis

WSEAS Transactions on Information science and Applications 2005年第12期2卷 2146-2153页

作者： Lin, Ken-Li Lin, Chun Yuan Huang, Chuen-Der Chang, Hsiu-Ming Yang, Chiao Yun Lin, Chin-Teng Tang, Chuan Yi Hsu, D. Frank Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Computer Center Chung Hua University Hsinchu Taiwan Institute of Molecular and Cellular Biology National Tsing Hua University Hsinchu Taiwan Department of Electrical Engineering Hsiuping Institute of Technology Taichung Taiwan Brain Research Center National Tsing Hua University Hsinchu Taiwan Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Computer and Information Science Fordham University New York NY 10023 United States

The accurate classification of protein structure is critical and essential for protein function determination in Bioinformatics and Proteomics. A reasonably high rate of prediction accuracy for protein structure classification has been achieved recently in coarse-grained protein class assignment according to their primary amino acid sequences, such as classifying proteins into four classes in SCOP. However, it is still quite a challenge for fine-grained protein fold assignment, especially when the number of possible folding patterns as those defined in SCOP is large. In our previous work, hierarchical learning architecture (HLA) neural networks have been used to differentiate proteins according to their classes and folding patterns. A better prediction accuracy rate for 27 folding categories was 65.5% which improves previous results by Ding and Dubchak with 56.5% prediction accuracy rate. The success of the protein structure classification depends heavily on the computational methods used and the features selected. Here combinatorial fusion analysis (CFA) techniques are used to facilitate feature selection and combination for improving prediction accuracy rate of protein structure classification. The resulting classification has an overall prediction accuracy rate of 87.8% for coarse-grained 4 classes and 70.9% for fine-grained 27 folding categories by applying the concept of CFA to our previous work using neural network with the HLA framework. These results are significantly higher than others and our previous work. They further demonstrate that the CFA techniques can greatly enhance the machine learning method (such as NN in the paper) in the protein structure prediction problem.

关键词： Medical applications

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Fault detection filter for nonlinear systems using linear approximations

Fault detection filter for nonlinear systems using linear ap...

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作者： Hernandez, C. Navarro Crusca, F. Aldeen, M. Banks, S.P. Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom Department of Electrical and Computer Systems Engineering Monash University Clayton VIC 3800 Australia Department of Electrical and Electronic Engineering University of Melbourne Parkville VIC 3010 Australia

ISBN: (纸本)008045108X

in this paper, the design of a fault detection filter for nonlinear systems is presented. The nonlinear system is represented as a sequence of linear time- varying approximations and at each linear approximation the design of an optimal stochastic fault detection filter for linear time-varying systems is applied. The final residual is primarily affected by a target fault and minimally by nuisance faults. Copyright © 2005 IFAC.

关键词： Nonlinear systems

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Robot motion generation considering external and internal impulses

Robot motion generation considering external and internal im...

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作者： So, Byung Rok Lee, Jae Hoon Yi, Byung-Ju Kim, Wheekuk School of Electrical Engineering and Computer Science University of Hanyang Korea Republic of Institute of Engineering Mechanics and Systems University of Tsukuba Japan Department of Control and Instrumentation Engineering University of Korea Korea Republic of

ISBN: (纸本)0780389123

This paper deals with motion generation algorithm considering the external and internal impulses. Initially, we analyze the trend of the impulses with a simple 3-DOF planar robot arm in various contact positions and present a problem that is in discord with the general trend. To cope with this problem, we propose a new motion generation algorithm considering both the external and internal impulse. The gradient projection method is employed to exploit the kinematic redundancy of robot systems. Initially, the effectiveness of the proposed algorithms is verified through simulation of a 3-DOF planar robot arm model, and two application examples considering both the external and internal impulses are investigated. Through simulations for the landing of a 4-DOF planar human-body model and the sawing motion by a dual-arm model, it is shown that the posture is stable and the trend of the impulses calculated by the analytical models is coincident to the human experiences. © 2005 IEEE.

关键词： Motion planning

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"Poor" signal processing and grey modeling technique

"Poor" signal processing and grey modeling technique

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18th International Conference on Systems engineering, ICSEng 2005

作者： Chen, Zhijie Chen, Weizhen Chen, Qile Chen, Mian-Yun School of Economics and Management Wuhan University of Science and Engineering Wuhan 430073 China Department of Information and Electrical Engineering Wuhan Polytechnic University Wuhan 430023 China Department of Computer Science Wuhan University of Science and Engineering Wuhan 430073 China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)0769523595

An investigated object -with "poor" signal or lacking in the completed model information is referred to as a grey system. Grey systems are found everywhere. In this paper, the latest researches on "poor" signal processing and grey modeling technique are presented. The researched results here can open new prospects for the development and application of systems methodology. © 2005 IEEE.

关键词： Signal processing

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Approaches to grey prediction and control of environmental systems

Approaches to grey prediction and control of environmental s...

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18th International Conference on Systems engineering, ICSEng 2005

作者： Chen, Weizhen Chen, Zhijie Chen, Qile Chen, Mian-Yun Department of Information and Electrical Engineering Wuhan Polytechnic University Wuhan 430023 China School of Economics and Management Wuhan University of Science and Engineering Wuhan 430073 China Department of Computer Science Wuhan University of Science and Engineering Wuhan 430073 China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)0769523595

An environment is a very complex and large system. This paper describes it with the aid of the grey systems approach. Firstly, the grey system and grey process are outlined, then the latest researches on grey prediction and control of environmental systems are presented. This kind of systems designed here is best suited for investigating the environmental objects with "poor" information. © 2005 IEEE.

关键词： Large scale systems

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Backlash compensation using receding horizon control

Backlash compensation using receding horizon control

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作者： Seron, María Yoo, Kyung Sang Goodwin, Graham Centre for Complex Dynamic Systems and Control School of Electrical Engineering and Computer Science University of Newcastle Callaghan NSW 2308 Australia Department of Electrical Engineering Doowon Technical College Ansung 456-718 Korea Republic of

ISBN: (纸本)008045108X

We present a receding horizon control algorithm for compensation of backlash at the input of a stable linear system under control rate constraints. The problem is first posed as a receding horizon optimal control problem by modelling backlash as a piecewise affine system with a state space partition consisting of three regions. This optimal control problem involves solving, at each step, 3N quadratic programmes, where N is the optimisation horizon. As an alternative to solving the quadratic programmes, we propose a strategy based on a recently devised suboptimal receding horizon control algorithm which utilises a singular value decomposition of the Hessian of the quadratic programme. This alternative strategy leads, at the cost of some performance degradation, to much smaller computational load since a feasible rather than optimal solution has to be obtained at each step. Copyright © 2005 IFAC.

关键词： Singular value decomposition

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Correlation between time and frequency domain polarisation measurements for transformer moisture assessment

Correlation between time and frequency domain polarisation m...

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作者： Saha, T.K. Middleton, R. Thomas, A. School of Information Technology and Electrical Engineering University of Queensland School of Electrical Engineering and Computer Science University of Newcastle Department of Electrical Engineering School of Information Technology and Electrical Engineering University of Queensland Australia Engineers Australia University of Newcastle Centre for Complex Dynamic Systems and Control CRC Board of Governors IEEE Control System Society University of Queensland's School of Information Technology and Electrical Engineering

Preventative diagnosis and maintenance of transformers has become more popular in recent times in order to improve the reliability of electric power systems. A number of transformers have recently been tested using Return Voltage (RV) and Dielectric Dissipation Factor (tanδ) measurements in the time and frequency domain, respectively. This paper outlines a circuit model which describes the dielectric behaviour of the transformer insulation system and has been parameterised from the frequency domain data. This model was then used to simulate RV and Polarisation-Depolarisation current (PDC) results. Some recommendations about the diagnosis of the transformers have been proposed. © Institution of Engineers.

关键词： Electric transformers

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Secure transmission of sensitive data using multiple channels

Secure transmission of sensitive data using multiple channel...

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ACS/IEEE International Conference on computer Systems and Applications

作者： A.S. Abdelhamid A.A. Belal Department of Computer Science and automatic control Faculty of Engineering Alexandria University Alexandria Egypt

Summary form only given. A new scheme for transmitting sensitive data is proposed, the proposed scheme depends on partitioning the output of a block encryption module using the Chinese Remainder Theorem among a set of channels. The purpose of using the Chinese Remainder Theorem is to hide the cipher text in order to increase the difficulty of attacking the cipher. The proposed scheme assumes the existence of a set of transmission channels between the sender and the receiver parties from which S channels are chosen using some selection criteria. The message is divided into as set of blocks of a size that is a multiple of the size of the underlying block cipher block size. The resulting N bit encrypted block is used as an N-bits integer. This integer remainders with respect to S selected relatively prime numbers are sent over the S selected channels. On the receiver side the inverse Chinese remainder is applied to get the encrypted blocks followed by a decryption operation to construct the original message. The theory, implementation and the security of this scheme are described in the paper.

关键词： Cryptography Cathode ray tubes computer science automatic control Protection Data engineering Data security Error correction codes Niobium

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Set membership estimation of parameters and variables in dynamic networks by recursive algorithms with moving measurement window

Set membership estimation of parameters and variables in dyn...

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作者： Duzinkiewicz, Kazimierz Brdys, Mietek A. Department of Automatic Control Gdansk University of Technology G.Narutowicza 11/12 80 9 52 Gdansk Poland Department of Electronic Electrical and Computer Engineering School of Engineering University of Birmingham Birmingham B15 2TT United Kingdom

ISBN: (纸本)008045108X

The paper considers a set-membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. The recursive estimation algorithm with moving measurement window is derived that is suitable for on line network monitoring. The window allows stabilising the classic recursive estimation algorithm and significantly improves the estimate tightness. The estimator is validated on a case study water distribution network. Tight set estimates of unmeasured pipe flows, nodal heads and pipe resistances are obtained. Copyright © 2005 IFAC.

关键词： Uncertainty analysis

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Combining features from wavelet decomposition for vehicle detection

Combining features from wavelet decomposition for vehicle de...

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IWSSIP 2005 - 12th International Workshop on Systems, Signals and Image Processing(SSIP-SPI, 2005)

作者： Romih, Tomaž Čučej, Žarko Planinšič, Peter Liatsis, Panos Faculty of Electrical Engineering and Computer Science University of Maribor Slovenia Information and Biomedical Engineering Centre School of Engineering and Mathematical Sciences City University Northampton Square London EC1V United Kingdom Faculty of Electrical Engineering and Computer Science IEEE Information and Biomedical Engineering Centre EPSRC TEE Eur Ing. Department of Automatic and Robotic University of Maribor Slovenia University of Maribor SPIE

ISBN: (纸本)0907776205

In this paper, we present the use of the wavelet transform for image object detection. We decompose image into first level subbands and remove the approximation subband. Inverse wavelet transform gives us an image with enhanced details, which we use for segmentation of image areas to objects. We take into consideration the size scaling of object near and away from camera. A comparison of the performance of the suggested algorithm is performed. Copyright © 2005 Inderscience Enterprises Ltd.

关键词： Image processing

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