2010 International Conference on Computing, Control and Industrial Engineering

5-6 June 2010

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  • [Front cover - Vol 2]

    Publication Year: 2010, Page(s): C1
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  • [Title page i - Volume 2]

    Publication Year: 2010, Page(s): i
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  • [Title page iii - Volume 2]

    Publication Year: 2010, Page(s): iii
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  • [Copyright notice - Volume 2]

    Publication Year: 2010, Page(s): iv
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  • Table of contents - Volume 2

    Publication Year: 2010, Page(s):v - xii
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  • Preface - Volume 2

    Publication Year: 2010, Page(s): xiii
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  • Organizing Committee - Volume 2

    Publication Year: 2010, Page(s): xiv
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  • Program Committee - Volume 2

    Publication Year: 2010, Page(s): xv
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  • Reviewers - Volume 2

    Publication Year: 2010, Page(s): xvi
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  • Modeling and an ILP-Based Algorithm Framework for the Slab Stack Shuffling Problem Considering Crane Scheduling

    Publication Year: 2010, Page(s):3 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (262 KB) | HTML iconHTML

    This paper studies the slab stack shuffling problem considering crane scheduling in the slab yard of iron and steel industries. An ILP-based algorithm framework is proposed for the problem, in which an ILP model is proposed to solve the slab selecting subproblem and a specified procedure is developed to detect whether there is a feasible crane schedule for the chosen slabs. Through a number of ite... View full abstract»

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  • A Discrete Time Retrial Queue with Retrial Due to Server Failures

    Publication Year: 2010, Page(s):7 - 11
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (286 KB) | HTML iconHTML

    We considered an unreliable Geo/Geo/1 retrial queue with infinite-capacity orbit and normal queue. In this model it is assume that if the server subjected to starting failures and breakdown during services of a customer, the customer leaves the server, joins a retrial group and repeatedly attempts to access the server in random intervals to get service. We study the Markov chain underlying the con... View full abstract»

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  • Plasma Cladding of Ni60-SiC Cermet Coating on Hot Forging Die

    Publication Year: 2010, Page(s):12 - 15
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (391 KB) | HTML iconHTML

    In order to satisfy performance and long life requirements for hot forging die, Ni60-SiC cermet coating was prepared on the high speed steel W6M05Cr4V2 by plasma cladding technology. Metallurgical bonding coating with enough bonding strength was obtained after optimizing the cladding parameters. The clad coating composition, microstructure, microhardness... View full abstract»

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  • The Optimal Selection of the Parameters for the Ant Colony Algorithm with Small-Perturbation

    Publication Year: 2010, Page(s):16 - 19
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (339 KB) | HTML iconHTML

    As a new general-purpose heuristic algorithm, Ant Colony Optimization Algorithm(ACO) has been applied to combinatorial optimization problems. The main characteristics of ACO are positive feedback, distributed computation and the use of constructive greedy heuristic. This paper presents the principle and the hierarchy model of the ACO with small-perturbation. This algorithm is applied to the optimi... View full abstract»

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  • The Application of Rule-Based Genetic Algorithm in Job-Shop Production Scheduling

    Publication Year: 2010, Page(s):20 - 23
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (281 KB) | HTML iconHTML

    The boiler's processing and assembling shop was taken as the reality physical model in this paper, from which the general job-shop production workshop was abstracted as the simplified model and the scheduling algorithms of job-shop production workshop was lucubrated. Firstly, the model of job-shop production workshop was established; secondly, the scheduling theory and algorithms of production wor... View full abstract»

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  • Data-Fusion Forecast Model of Missile Failure Time Based on Artificial Neural Network

    Publication Year: 2010, Page(s):24 - 27
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (232 KB) | HTML iconHTML

    Aiming at forecasting failure time of the missile more accurately, saving the manpower, money and material resources, a data-fusion forecast model based on artificial neural network was put forward. First, several single forecasting methods including grey model, time series model and so on were used. Then, all of the single forecast results were fused by artificial neural network. The model was ca... View full abstract»

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  • Design and Simulation of Fuzzy Self-Adjusting PID Controller

    Publication Year: 2010, Page(s):28 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (311 KB) | HTML iconHTML

    For the control system with the hysteretic characteristics on temperature, the combination of PID and fuzzy control were put forward and a fuzzy self-adjusting PID controller for heater system was built, in which fuzzy control rules are used for PID parameters self-tuning. By simulation and compared with other ordinary PID controls, it's concluded that the method used in a hydraulic servo system c... View full abstract»

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  • Analyze the Influencing Factors of Food Security by Bidirectional Analytic Hierarchy Process

    Publication Year: 2010, Page(s):32 - 33
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (220 KB) | HTML iconHTML

    When we want to gain the weight of several influencing factors without sufficient data, we use the Analytic Hierarchy Process method. But sometimes this method may be a little inaccuracy, for the weights of the inner process are decided by manpower. This paper takes the background of food security to provide an improved Analytic Hierarchy Process method, which conduct the Analytic Hierarchy Proces... View full abstract»

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  • Based on Process Neural Network Learning Algorithm for Prediction of Urban Water Consumption

    Publication Year: 2010, Page(s):34 - 37
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (291 KB) | HTML iconHTML

    For urban water consumption characteristics of the process will be applied to the neural network model for forecasting urban water demand. Describes the process of feed-forward neural network model and the feedback process neural network model; study of weight function based on orthogonal basis started learning algorithm, and describes the specific steps of the algorithm; drawn flowchart of urban ... View full abstract»

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  • Decision Problems in Autoepistemic Logic

    Publication Year: 2010, Page(s):38 - 40
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (222 KB) | HTML iconHTML

    In this paper we will prove the complexity of three main problems in the context of autoepistemic logic. The first problem is the question if a set of premise sum has a stable expansion. The second is if a given formula exists in at least one stable expansion, this problem is also known as brave reasoning. The third is if a given formula exists in every stable expansion, also known as cautious rea... View full abstract»

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  • Application of Fuzzy Comprehensive Evaluation on Choosing Concrete Water Reducing Admixture

    Publication Year: 2010, Page(s):41 - 44
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB) | HTML iconHTML

    Water reducing admixture (WRA) has become one indispensable part of modern high performance concrete, and how to choose the excellent performance, better quality and lower price WRA has become one important problem in engineering construction. The fuzzy comprehensive evaluation method is applied to resolve this problem in the paper. In connection with the four primary factors and twenty two second... View full abstract»

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  • Objective evaluation of knitted yarn quality based on fuzzy kernel C-means

    Publication Year: 2010, Page(s):45 - 48
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (258 KB) | HTML iconHTML

    In this paper, the method that measuring dataset of knitted yarns is clustered using improving fuzzy kernel c-Means (FKCM) clustering algorithm is proposed. In FKCM clustering algorithm, the data of low dimension input space is mapped to high dimension feature space, FCM clustering algorithm is performed in feature space, then the constraint optimization distance matrix and membership matrix of te... View full abstract»

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  • Quality grade recognition of knitted yarns by support vector machines

    Publication Year: 2010, Page(s):49 - 51
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (217 KB) | HTML iconHTML

    This paper presents the support vector machine (SVM) for classification of the quality grade of knitted yarns. The SVM, Kernel Fisher Discriminant Analysis (KFDA), back promulgation neural network (BPNN), and radial basis function neural network (RBFNN) are comparatively investigated in 94 classified knitted yarns from different mills in four-dimensional space, four methods are employed on IRIS an... View full abstract»

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  • A Survey of Estimations of Dynamic Discrete Choice Models

    Publication Year: 2010, Page(s):52 - 55
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (242 KB) | HTML iconHTML

    The DDCM is a dynamic program (DP) with discrete controls, which is very important in understanding agents' behavior in various settings. This paper begins with the essential features and hypothesis. On the one hand, to estimate the model with two sources of heterogeneity when the number of periods is small, it obtains non-linear bias corrected estimator (NBC) and minimized integrated mean square ... View full abstract»

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  • Integral Expression Form of Admissible Linear Estimators of Effects in Linear Mixed Models

    Publication Year: 2010, Page(s):56 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (256 KB) | HTML iconHTML

    The problem of simultaneous linear estimation of fixed and random effects in the linear mixed model is considered. Necessary and sufficient conditions for a linear estimator of a linear function of fixed and random effects in balanced nested classification models to be admissible are given by Synowka(2008), and his admissible linear estimator is an integral expression. Wang(2009[10]) give another ... View full abstract»

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  • An Open-Loop Characteristic Testing System of Coriolis Mass Flowmeter Based on Virtual Instrument Technology

    Publication Year: 2010, Page(s):61 - 64
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (289 KB) | HTML iconHTML

    Coriolis mass flowmeter (CMF) is becoming a research hotspot in flow measurement for its high accuracy and multi-parameter measurement. Through the dynamic study on CMF's vibrating model, get the conclusion that the key factors of close-loop system design is the open-loop characteristic parameters such as natural frequency and mechanical quality factor (Q value) et al. An open-loop testing system ... View full abstract»

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