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Spectral Representation of Protein Sequences

JOURNAL OF COMPUTATIONAL AND THEORETICAL NANOSCIENCE 2011年第7期8卷 1335-1339页

作者： Zhang, Zhujin Liu, Lin Li, Jiuyong Zhang, Zheng Huazhong Univ Sci & Technol Dept Control Sci & Engn Key Lab Image Proc & Intelligent Control Wuhan 430074 Peoples R China Univ S Australia Sch Comp & Informat Sci Adelaide SA 5095 Australia

Graphical representation of protein sequences provides a simple way of viewing, comparing and analyzing proteins. Here, we propose a new 2D spectrum-like graphical representation of protein sequences. Two mathematical models are built and demonstrate that this representation avoids degeneracy and loss of information, and can reflect the length of a sequence. Moreover, observers can easily know the content of each amino acid in a protein sequence. The approach is illustrated on two segments of protein of yeast Saccharomyces cerevisiae.

关键词： Graphical Representation Protein Sequences Degeneracy Loss of Information

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Data model driven architecture (DMDA)

Data model driven architecture (DMDA)

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Chen, Chen Chen, Xueguang Liu, Hong Institute of Systems Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Lab. for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9781612843735

Based on the current development of Model Driven Architecture (MDA) in Enterprise Information System (EIS), the paper proposes a DMDA, a new development architecture to improve EIS development speed and quality. The basic idea of the DMDA is to take advantage of formal description, decomposition and re-use on EIS development process to let computer understand development demands of developers and then consequently generate some business models having nothing to do with specific technical realization, combine with specific technical basic platform to finally generate the EIS meeting actual demands based on data model. The practice proves the architecture is capable of simplifying EIS development difficulty, expediting application and development speed, improve development quality and achieve the rapid development purpose. © 2011 IEEE.

关键词： Software design

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Marker-controlled Watershed for Lesion Segmentation in Mammograms

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JOURNAL OF DIGITAL IMAGING 2011年第5期24卷 754-763页

作者： Xu, Shengzhou Liu, Hong Song, Enmin Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Peoples R China Educ Minist Image Proc & Intelligent Control Key Lab Wuhan 430074 Hubei Peoples R China

Lesion segmentation, which is a critical step in computer-aided diagnosis system, is a challenging task as lesion boundaries are usually obscured, irregular, and low contrast. In this paper, an accurate and robust algorithm for the automatic segmentation of breast lesions in mammograms is proposed. The traditional watershed transformation is applied to the smoothed (by the morphological reconstruction) morphological gradient image to obtain the lesion boundary in the belt between the internal and external markers. To automatically determine the internal and external markers, the rough region of the lesion is identified by a template matching and a thresholding method. Then, the internal marker is determined by performing a distance transform and the external marker by morphological dilation. The proposed algorithm is quantitatively compared to the dynamic programming boundary tracing method and the plane fitting and dynamic programming method on a set of 363 lesions (size range, 5-42 mm in diameter;mean, 15 mm), using the area overlap metric (AOM), Hausdorff distance (HD), and average minimum Euclidean distance (AMED). The mean +/- SD of the values of AOM, HD, and AMED for our method were respectively 0.72 +/- 0.13, 5.69 +/- 2.85 mm, and 1.76 +/- 1.04 mm, which is a better performance than two other proposed segmentation methods. The results also confirm the potential of the proposed algorithm to allow reliable segmentation and quantification of breast lesion in mammograms.

关键词： Watershed Marker Lesion Mammogram Morphological gradient

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Analysis of a third-order circuit based on a memristor

Analysis of a third-order circuit based on a memristor

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2011 International Conference on Information Science and Technology, ICIST 2011

作者： Xiao, Jian Shen, Yi Zeng, Zhigang Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China

ISBN: (纸本)9781424494408

In this paper, a third-order canonical circuit with a memristor is investigated. Unlike the conventional circuit systems, it has an equilibrium set, whose stability is affected by the initial state of the memristor. The corresponding dynamical behaviors of the memristor are illustrated both theoretically and numerically. © 2011 IEEE.

关键词： Memristors

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Research on fuzzy enhancement in the diagnosis of liver tumor from B-mode ultrasound images

Research on fuzzy enhancement in the diagnosis of liver tumo...

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2011 IEEE International conference on intelligent Computation and Bio-Medical Instrumentation, ICBMI 2011

作者： Qiu, Wu Wang, Rui Xiao, Feng Ding, Mingyue School of Life Science and Technololgy Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Huazhong University of Science and Technology Wuhan Hubei China

ISBN: (纸本)9780769546230

Fuzzy enhancement is applied in computer aided diagnosis of liver cancer from B mode ultrasound images as a pre-processing procedure in this paper. It was evaluated with three classifiers including K means, back propagation neural network and support vector machine using 25 features from first order statistic (FOS), gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), Grey level dependant matrix (GLDM) and LAWS. In the analysis of 166 normal liver tissue, 30 hemangioma and 60 malignant tumor, our method improved the classification accuracy of three classifiers (K means, BP neural network and support machine vector) in distinguishing liver cancer, hemangioma and normal liver cancer from B mode ultrasound images. It is proved that fuzzy enhancement as an efficient preprocessing procedure could be used in the computer aided diagnosis system of liver cancer. © 2011 IEEE.

关键词： Support vector machines

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Time-Free Spiking Neural P Systems

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NEURAL COMPUTATION 2011年第5期23卷 1320-1342页

作者： Pan, Linqiang Zeng, Xiangxiang Zhang, Xingyi Huazhong Univ Sci & Technol Key Lab Image Proc & Intelligent Control Dept Control Sci & Engn Wuhan 430074 Hubei Peoples R China Anhui Univ Key Lab Intelligent Comp & Signal Proc Sch Comp Sci & Technol Hefei 230039 Anhui Peoples R China

Different biological processes take different times to be completed, which can also be influenced by many environmental factors. In this work, a realistic definition of nonsynchronized spiking neural P systems (SN P systems, for short) is considered: during the work of an SN P system, the execution times of spiking rules cannot be known exactly (i.e., they are arbitrary). In order to establish robust systems against the environmental factors, a special class of SN P systems, called time-free SN P systems, is introduced, which always produce the same computation result independent of the execution times of the rules. The universality of time-free SN P systems is investigated. It is proved that these P systems with extended rules (several spikes can be produced by a rule) are equivalent to register machines. However, if the number of spikes present in the system is bounded, then the power of time-free SN P systems falls, and in this case, a characterization of semilinear sets of natural numbers is obtained.

关键词： P Blood-Group System execution time Rule Natural number spiking

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Reliability assessments of Chinese high speed railway network

Reliability assessments of Chinese high speed railway networ...

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2011 IEEE International Conference on Service Operations, Logistics and Informatics, SOLI 2011

作者： Zhang, Jianhua Hong, Liu Wang, Shuliang Xu, Xiaoming Department of Control Science and Engineering Key Lab for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan 430074 China University of Shanghai for Science and Technology Shanghai Academy of System Science Shanghai 200093 China

ISBN: (纸本)9781457705731

With the economic developments, high speed railway has been paid many attentions in China and medium- short term planning of Chinese high speed railway network has been formed and most of the railways have been started into operations. In this paper, graph theory and complex network theory are adopted to assess the reliability of Chinese high speed railway network. The topological characteristics and real distances between pairs of stations are discussed to investigate the reliability of Chinese high-speed rail network. Several parameters are presented to investigate the topological characteristics and the reliability and robustness of the network subject to failures. The parameter called unit degree betweenness is proposed to assess the transport capacity of lines connecting with the nodes. The largest degree node-based attacks and the highest betweenness node-based attacks are involved into Chinese high speed railway network to assess the topological reliability and robustness. The results show that the highest betweenness node-based attacks are more effective to destroy the network than the largest degree node-based attacks. Moreover, the cumulative degree distribution and the real mileages of railways between pairs of stations can be fitted by Gauss functions, and the distribution of real shortest distances over all pairs of stations of the network is fitted by a normal distribution function. By the simulations, the critical stations, Guangzhou Station, Zhengzhou Station and Jinan Station for the largest degree node-based attacks, and Wuhan Station, Xuzhou Station and Shijiazhuang Station for the highest betweenness node-based attacks, can be obtained in this paper. © 2011 IEEE.

关键词： Graph theory

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Characteristic analysis of Otsu threshold and its applications

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PATTERN RECOGNITION LETTERS 2011年第7期32卷 956-961页

作者： Xu, Xiangyang Xu, Shengzhou Jin, Lianghai Song, Enmin Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Hubei Peoples R China Educ Minist Image Proc & Intelligent Control Key Lab Wuhan 430074 Hubei Peoples R China

This paper proves that Otsu threshold is equal to the average of the mean levels of two classes partitioned by this threshold. Therefore, when the within-class variances of two classes are different, the threshold biases toward the class with larger variance. As a result, partial pixels belonging to this class will be mis-classified into the other class with smaller variance. To address this problem and based on the analysis of Otsu threshold, this paper proposes an improved Otsu algorithm that constrains the search range of gray levels. Experimental results demonstrate the superiority of new algorithm compared with Otsu method. (C) 2011 Elsevier B.V. All rights reserved.

关键词： image segmentation Threshold selection Otsu criterion

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Echo State Networks based method for harmonic extraction in Shunt Active Power Filters

Echo State Networks based method for harmonic extraction in ...

引用

6th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2011

作者： Xu, Jinbang Yang, Jun Liu, Feng Zhang, Zhixiong Shen, Anwen Dep. of Control Sci. and Tech. Huazhong University of Sci. and Tech. Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Wuhan China

ISBN: (纸本)9780769545141

With the wide use of power conversion devices, harmonic currents are being injected into the power grid. Shunt Active Power Filters (SAPF) is a power electronic device to compensate the harmonic currents caused by nonlinear loads. As the foundation of the harmonics recognition and compensation, harmonic extraction techniques are becoming more and more important. This paper proposes a new harmonic extraction method based on the Echo State Networks (ESN). ESN is a new type of Recurrent Neural Networks (RNN), which has much faster training speed than other types of RNN. To evaluate the dynamic system modeling capability of the ESN, the ESN with different dynamic reservoir size are discussed. The performance of the ESN based harmonic extraction method is compared with traditional methods and method based on multilayer perceptron networks (MLP). The ESN algorithm is trained and tested in MATlab. © 2011 IEEE.

关键词： Recurrent neural networks

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An effusion-evaporation model for image edge detection

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OPTICS AND LASERS IN ENGINEERING 2011年第7期49卷 946-953页

作者： Liu, Hong Zou, Yaobin Jin, Renchao Huazhong Univ Sci & Technol Sch Comp Sci & Technol Wuhan 430074 Hubei Peoples R China Minist Image Proc & Intelligent Control Key Lab Educ Wuhan 430074 Hubei Peoples R China

A novel quasi-physical edge detection model is presented. The model, referred to as the effusion-evaporation model (EEM), is inspired by the natural phenomenon that the water effusing from the ground evaporates in the sunshine and leaves a wire like water stain on the ground surface, which reflects the physiognomy of the terrain. Based on the simulation of water effusing and evaporating, an EEM regards the complement of gradient magnitude image as a three-dimensional terrain, and the concave regions, which contain the residual water in the evolution final state, are used to determine the edges. Subjective and objective comparisons are performed on the proposed algorithm and two conventional edge detectors, namely Canny and LoG. The comparison results show that the proposed method outperforms Canny and LoG detectors for the real images and the standard test images with Gaussian noise. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Edge detection Quasi-physical algorithm Anisotropic diffusion Bilateral filter

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