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2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation

24-25 Sept. 2013

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Displaying Results 1 - 25 of 77
  • [Front cover]

    Publication Year: 2013, Page(s): C4
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  • [Title page i]

    Publication Year: 2013, Page(s): i
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  • [Title page iii]

    Publication Year: 2013, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2013, Page(s): iv
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  • Table of contents

    Publication Year: 2013, Page(s):v - xi
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  • Welcome Message from the Chairs

    Publication Year: 2013, Page(s):xii - xiii
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  • Conference Organization

    Publication Year: 2013, Page(s): xiv
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  • International Program Committee

    Publication Year: 2013, Page(s):xv - xvii
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  • International Reviewers

    Publication Year: 2013, Page(s):xviii - xix
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  • Sponsors, Patrons, Promoters and Supporters

    Publication Year: 2013, Page(s):xx - xxi
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  • Technical Sponsors

    Publication Year: 2013, Page(s): xxii
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  • Keynotes

    Publication Year: 2013, Page(s):xxiii - xxvii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (345 KB)

    Provides an abstract for each of the presentations and a brief professional biography of each presenter. The complete presentations were not made available for publication as part of the conference proceedings. View full abstract»

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  • System Identification of Flexible Beam Structure Using Artificial Neural Network

    Publication Year: 2013, Page(s):3 - 7
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (520 KB) | HTML iconHTML

    This paper presents the development of a nonparametric model that represents the dynamic behaviour of a flexible beam system utilizing several artificial neuralnetwork algorithms. Input-output data used in this study isobtained from Finite Difference algorithm's simulation. Thealgorithm is validated through comparison of its natural frequencies of vibration with the theoretical values. For system ... View full abstract»

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  • Adaptive Neural Networks for Nonlinear Dynamic Systems Identification

    Publication Year: 2013, Page(s):8 - 13
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2367 KB) | HTML iconHTML

    A new scheme for adaptive neural networks for nonlinear dynamic system identification is proposed in this paper. The network of structure multi-layer perceptron with external recurrence is trained offline at first to get the initial network parameters. The parameters of the network are classified into short-term memory part and long-term memory part. The short-term memory part includes the paramet... View full abstract»

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  • A Neural Network (NN) Approach to Solving a Static-non-exchange Scattering of Electron-Hydrogen

    Publication Year: 2013, Page(s):14 - 16
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (194 KB) | HTML iconHTML

    In this present work is to numerically estimate via neural network the scattering elastic-collision phase shift from electron hydrogen interaction. Previous works have shown reliable results using runge-kutta 4th order (RK-4). This can be achieved by solving the 2nd Order Differential Equation (ODE) that is found commonly in physical scattering problem. A number of trial functions was tested that ... View full abstract»

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  • NARMA-L2 Vibration Controller for Flexible Structure with Non-collocated Sensor-Actuator

    Publication Year: 2013, Page(s):17 - 22
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (587 KB) | HTML iconHTML

    This paper presents the non-parametric approach using Artificial Neural Network (ANN) in modelling and vibration control of a flexible beam structure. Elman Network structure has been selected to be used in dynamic modelling and system identification of the flexible beam. Several validation tests also have been carried out in order to measure the reliability of the nonparametric model developed. L... View full abstract»

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  • Computation of Backpropagation Learning Algorithm Using Neuron Machine Architecture

    Publication Year: 2013, Page(s):23 - 28
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (734 KB) | HTML iconHTML

    The neuron machine (NM) is a hardwarearchitecture that can be used to design efficient neural networksimulation systems. However, owing to its intrinsicunidirectional nature, NM architecture does not supportbackpropagation (BP) learning algorithms. This paperproposes novel schemes for NM architecture to support BPalgorithms. Reverse-mapping memories, synapse placementalgorithm, and a memory struct... View full abstract»

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  • Comparison of Back Propagation and Resilient Propagation Algorithm for Spam Classification

    Publication Year: 2013, Page(s):29 - 34
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (677 KB) | HTML iconHTML

    In this paper we compare the performance of back propagation and resilient propagation algorithms in training neural networks for spam classification. Back propagation algorithm is known to have issues such as slow convergence, and stagnation of neural network weights around local optima. Researchers have proposed resilient propagation as an alternative. Resilient propagation and back propagation ... View full abstract»

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  • Modeling of Flexible Manipulator Structure Using Genetic Algorithm with Parameter Exchanger

    Publication Year: 2013, Page(s):37 - 42
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (300 KB) | HTML iconHTML

    This paper presents a novel Genetic Algorithms with Parameter Exchanger and its application to system identification for a single-link flexible manipulator system. A simulation environment characterizing the dynamic behavior of the flexible manipulator system was first developed using finite difference method to acquire the input-output data of the system. In this study, system identification sche... View full abstract»

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  • Evolutionary Computation Based Retiming for High Speed Digital Filters

    Publication Year: 2013, Page(s):43 - 48
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (225 KB) | HTML iconHTML

    In the present work, we consider high level synthesis as a problem of optimally mapping a Data Flow Graph [DFG] specification of digital filters on to FPGA architecture. This optimality is achieved using retiming based on evolutionary computation method. Many retiming methods proposed in the literature are heuristic and produce only one solution based on any chosen optimization criterion. However,... View full abstract»

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  • A New Genetic Algorithm for Graph Coloring

    Publication Year: 2013, Page(s):49 - 54
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (611 KB) | HTML iconHTML

    Graph coloring problem is a classical example for NP-hard combinatorial optimization. Solution to this graph coloring problem often finds its applications to various engineering fields. This paper exhibits the robustness of genetic algorithm to solve a graph coloring. The proposed genetic algorithm employs an innovative single parent conflict gene crossover and a conflict gene mutation as its oper... View full abstract»

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  • Improving Spam Detection Using Neural Networks Trained by Memetic Algorithm

    Publication Year: 2013, Page(s):55 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (776 KB) | HTML iconHTML

    In this paper we train an Artificial Neural Network (ANN) using Memetic Algorithm (MA) and evaluate its performance on the UCI spambase dataset. The Memetic algorithm incorporates the local search capacity of Simulated Annealing (SA) and the global search capability of Genetic Algorithm (GA) to optimize the parameters of the ANN. The performance of the MA is compared with traditional GA in trainin... View full abstract»

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  • Modeling of Human Arm Movement: A Study on Daily Movement

    Publication Year: 2013, Page(s):63 - 68
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (383 KB) | HTML iconHTML

    Mimicking human arm motion has become a challenging topic for the researchers among the field of Human rehabilitation, motor control and perception, biomechanics, and several other related research topics. Considering human-robot cooperation, this paper is focused on modeling human arm while performing planner motion. In this work human arm is assumed as a mass-spring-damper system and based on th... View full abstract»

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  • Light Weight Finger Tracking Using a Single Point Permanent Magnetic Field Reference

    Publication Year: 2013, Page(s):69 - 74
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (762 KB) | HTML iconHTML

    The aim of this paper is to develop a permanent magnet finger tracking technique for use in day to day computer interaction as well as in the field of medical diagnostics such as stroke rehabilitation. Although several finger tracking techniques are available today, they are either bulky and power intensive or provide low accuracy with regards to tracking ability. In areas such as stroke rehabilit... View full abstract»

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  • Automatic Animation Skeleton Extraction Method Based on Vertex Gauss Sphere Representation

    Publication Year: 2013, Page(s):77 - 82
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (429 KB) | HTML iconHTML

    Skeletonization, or automatic skeleton extraction, is a technology in 3DCG which automatically extract skeletons (i.e. bones, joints and their hierarchical structures) from 3D models. Such skeletons are important shape and pose descriptors for object representation, object recognition etc. Some existing skeletonization methods have difficulties in correctly extracting the position of joints. Some ... View full abstract»

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