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Computational Intelligence and Security, 2006 International Conference on

Date 3-6 Nov. 2006

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  • [Front cover]

    Publication Year: 2006 , Page(s): C1
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  • Preface

    Publication Year: 2006 , Page(s): iii
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  • Copyright page

    Publication Year: 2006 , Page(s): nil1
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  • 2006 International Conference on Computational Intelligence and Security

    Publication Year: 2006 , Page(s): iv
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  • Program Committee Members

    Publication Year: 2006 , Page(s): v
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  • List of reviewers

    Publication Year: 2006 , Page(s): vi - viii
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  • Table of contents

    Publication Year: 2006 , Page(s): ix - xviii
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  • Table of contents

    Publication Year: 2006 , Page(s): xix - xxviii
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  • The Reliability Analysis of a Two-unit Cold Standby System with Failable Switch and Maintenance Equipment

    Publication Year: 2006 , Page(s): 941 - 944
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3022 KB) |  | HTML iconHTML  

    The basic model in reliability - the two-unit cold standby repairable system is studied in this paper. In the system, by using Markov renewal process, we derive some reliability indexes: the distribution of the mean time before the first failure of the system, the availability of the system, the probability of the repairman who is busying, the average failure times of the system in (0, t) View full abstract»

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  • A New ANN Optimized By Improved PSO Algorithm Combined With Chaos And Its Application In Short-term Load Forecasting

    Publication Year: 2006 , Page(s): 945 - 948
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4204 KB) |  | HTML iconHTML  

    A new hybrid particle swarm optimization (PSO) algorithm with adaptive inertia weight factor (AIWF) is proposed. By incorporating chaotic local research method, it proposed the PSO which combined with chaos (CPSO), and applied it in evolving the artificial neural network (ANN). Then, based on the actual load data provided by a regional power grid in the south of China, the proposed method is used ... View full abstract»

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  • Novel Method for Monocular Vision Based Mobile Robot Localization

    Publication Year: 2006 , Page(s): 949 - 954
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (5994 KB) |  | HTML iconHTML  

    A robust environment map with 3D spatial natural landmarks that facilitates monocular vision based mobile robot for global localization is built. The highly distinctive multi-dimensional vector descriptors associated with the features extracted through scale invariant feature transform (SIFT) can be robustly matched despite changes in illumination, scale and viewpoint. The landmarks are 3D restruc... View full abstract»

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  • Artificial Neural Network Based Software Sensor for Yeast Biomass Concentration during Industrial Production

    Publication Year: 2006 , Page(s): 955 - 958
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4455 KB) |  | HTML iconHTML  

    The artificial neural network is a potential 'sensor' in the complex bioprocess. The recurrent neural network (RNN) was employed as the software sensor to measure the biomass concentration during the baker's yeast industrial production, owing to its good ability in dealing with non-linear and time-varying process. Based on the data sets provided by the plant, input variables were selected as air f... View full abstract»

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  • AWQEE-DSS: A Decision Support System for Aquaculture Water Quality Evaluation and Early-warning

    Publication Year: 2006 , Page(s): 959 - 962
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3978 KB) |  | HTML iconHTML  

    Water quality management plays a very important role in fish life and aquatic product quality. Due to the bad water quality, the fish was sick even to die, the survival rate of the fry was declined and the income of the fishery was seriously affected. So a decision support system for aquaculture water quality evaluation and early-warning (AWQEE-DSS) was attempted. The paper was based on the monito... View full abstract»

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  • A Combination Weight Method Based on Rough Set Theory

    Publication Year: 2006 , Page(s): 963 - 967
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (5107 KB) |  | HTML iconHTML  

    Considering the deficiencies of the indexes weight method in present risk evaluation, firstly, a formula of calculating the relative significance of indexes was proposed by using rough set theory and the traditional analytic hierarchy process (AHP) method calculation subjective weight was improved. Then the synthesis optimization process was carried on with entropy value method of the objective we... View full abstract»

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  • Reversible Synthesis with Minimum logic function

    Publication Year: 2006 , Page(s): 968 - 971
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4083 KB) |  | HTML iconHTML  

    A first practical logic function reversible synthesis method has been presented. In this method, minimizing a standard logic function for obtained a SOP of optimization in our approach previously. This efficient conversion between SOP and fixed polarity Reed-Muller (FPRM) forms. The results show that the algorithm is efficient in terms of time and space. We also proposed the synthesis algorithm fo... View full abstract»

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  • A Hole Repairing Method for Triangle Mesh Surfaces

    Publication Year: 2006 , Page(s): 972 - 975
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3489 KB) |  | HTML iconHTML  

    It is well known that gap, small curved surface would be created by the failure of transformation between design and analysis software for complicated model. Holes caused by these flaws in the model cause calculation divergence. The whole finite element mesh (FEM) model meshed by general FEM software shows that the number of the holes is comparatively smaller in relation to triangle elements and e... View full abstract»

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  • Low-Power High-Level Data-Flow Synthesis

    Publication Year: 2006 , Page(s): 976 - 979
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4069 KB) |  | HTML iconHTML  

    A high-level data-flow synthesis method with low power based on Horner form is presented. The function describing of circuit used Horner form is then transformed to get the final polynomial form, to schedule, allocate and binding the data-flow based on Horner form. Reduce power consuming according to reduce the length of interconnect wire and consider the effect of binding and layout in the proces... View full abstract»

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  • A Study on Icon-URI Structure compatible with the ENUM System for Mobile Device

    Publication Year: 2006 , Page(s): 980 - 983
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3632 KB) |  | HTML iconHTML  

    By fast development of Internet, circulation of digital contents, such as text, image, sound, video and so on, is changing to high-capacity gradually. The URI that is used for circulation of these contents is used to recognize contents such as a page of text, sound, video clip, picture and animation. It needs new URI system and service environment for information access because information utiliza... View full abstract»

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  • Application of FA-ANN to Discriminate Tea Varieties Based on Spectroscopy

    Publication Year: 2006 , Page(s): 984 - 987
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3984 KB) |  | HTML iconHTML  

    Pattern recognition problems specifically for spectral data were developed. As an application, classification of four tea varieties based on near infrared spectra was taken by using the method. Factor analysis (FA) and artificial neural networks (ANN) were used for pattern recognition in this research. FA is a very effective data mining way; it was applied to enhance species features and reduce da... View full abstract»

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  • Identification of Rough Rice Species and Years by Visible/Near-infrared Reflectance Spectroscopy

    Publication Year: 2006 , Page(s): 988 - 991
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (92 KB) |  | HTML iconHTML  

    The potential of visible/near-infrared spectroscopy (vis/NIRS) for its ability to nondestructively differentiate rough rice varieties (species and years) was evaluated. Partial least squares (PLS) analysis was performed on the processed spectral data. In terms of the total classification results, the model with the preprocessing of wavelet transformation is the optimal to predict, and its predicti... View full abstract»

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  • Application of Improved BP Neural Network to Predict Agricultural Commodity Total Production Value

    Publication Year: 2006 , Page(s): 992 - 995
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3997 KB) |  | HTML iconHTML  

    An improved method was proposed in order to accelerate the convergence speed and reduce the training time of back propagation (BP) neural network. The principal component analysis (PCA) was used as the pre-processing to select principal components from the input variables. The regression and correlation analysis were used as the post-processing to analyze the result and test the precision of train... View full abstract»

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  • Pilot-Based Channel Estimation in Time-Variant MC-DS-CDMA Systems

    Publication Year: 2006 , Page(s): 996 - 999
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3950 KB) |  | HTML iconHTML  

    We propose and analyze a low-complexity pilot-based channel estimator for a multi-carrier direct-sequence code-division multiple access (MC-DS-CDMA) system in a time-variant (TV) channel. The TV channel is estimated individually for every flat-fading sub-carrier, assuming no inter-carrier interference. We use Fourier basis expansion model (FBEM) to fit the practical TV channel. With the knowledge ... View full abstract»

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  • Coordinated Design of FACTS Controllers for Transient Stability Improvement Based on Multi-Objective Evolutionary Programming

    Publication Year: 2006 , Page(s): 1000 - 1003
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (288 KB) |  | HTML iconHTML  

    A multi-objective evolutionary programming (MOEP) based approach to thyristor controlled series compensator (TCSC) and static VAr compensators (SVC) tuning has been investigated in this paper. The coordinate design problem of TCSC and SVC is formulated as a multi-objective optimization problem, in which the system transient stability is improved by minimizing several system behavior measure criter... View full abstract»

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  • Rock Fracture Aperture Characterization based on Corner Segment Algorithm in Image Analysis

    Publication Year: 2006 , Page(s): 1004 - 1007
    Cited by:  Papers (2)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (4459 KB) |  | HTML iconHTML  

    Rock aperture measurement is a hot topic in many rock engineering applications. To measure rock fracture aperture using digital image processing technique accurately, it is better to divide the aperture into a number of segments first, then, measuring each of those segments. Since information of aperture is concentrated at the corners, this paper presents a corner segment algorithm for measuring r... View full abstract»

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  • Sparse representation of complex valued signals

    Publication Year: 2006 , Page(s): 1008 - 1011
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (3116 KB) |  | HTML iconHTML  

    Sparse representation of complex valued signals is addressed in this paper. Considering the statistical dependence between real part and imaginary part of a complex valued signal (e.g., the discrete-time Fourier transform of a real valued signal), a special probability density function (PDF) is introduced to describe the complex random variable in this paper. Based on this PDF, a complex sparse re... View full abstract»

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