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2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks

28-30 July 2010

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Displaying Results 1 - 25 of 86
  • [Front cover]

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

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

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

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

    Publication Year: 2010, Page(s):v - xi
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  • Message from General Chairs

    Publication Year: 2010, Page(s): xii
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  • Conference organization

    Publication Year: 2010, Page(s): xiii
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  • International Program Committee

    Publication Year: 2010, Page(s): xiv
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  • International reviewers

    Publication Year: 2010, Page(s): xv
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  • Technical Sponsors

    Publication Year: 2010, Page(s): xvi
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  • Keynote Speakers

    Publication Year: 2010, Page(s):xvii - xx
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (230 KB)

    Provides an abstract for each of the keynote 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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  • Networked control systems with delay [Tutorial]

    Publication Year: 2010, Page(s):xxi - xxii
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (136 KB)

    The issue of time-delay is of primary importance in different areas of modern control systems and instrumentation such as power systems, industrial process control including the steel and oil industry, machining and metallurgical processes, remotely operated robots and control over computer networks (or as it is also known Networked Control Systems) to name a few. A Networked Control System (NCS) ... View full abstract»

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  • Nonlinear Neural Network Congestion Control Based on Genetic Algorithm for TCP/IP Networks

    Publication Year: 2010, Page(s):1 - 6
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (775 KB) | HTML iconHTML

    Active Queue Management (AQM) has been widely used for congestion avoidance in TCP networks. Although numerous AQM schemes have been proposed to regulate a queue size close to a reference level as RED, PI controller, PID Controller, Adaptive prediction controller (APC) and neural network using the Back-Propagation (BP) most of them are incapable of adequately adapting to TCP network dynamics due t... View full abstract»

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  • A Multi-objective Gravitational Search Algorithm

    Publication Year: 2010, Page(s):7 - 12
    Cited by:  Papers (15)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (636 KB) | HTML iconHTML

    Recently there has been a great research conducted on diverse variations of multi-objective swarm optimization algorithms each of which might have its own strengths and weaknesses. Due to the high complexity of multi-objective problems the efficiency of these methods has become a matter of concern. In this paper a new multi-objective meta-heuristic algorithm based on gravitational forces is propos... View full abstract»

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  • An Intelligent Framework for the Classification of Premium and Regular Gasoline for Arson and Fuel Spill Investigation Based on Extreme Learning Machines

    Publication Year: 2010, Page(s):13 - 16
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (425 KB) | HTML iconHTML

    Detection and correct identification of gasoline types during Arson and Fuel Spill Investigation are very important in forensic science. As the number of arson and spillage becomes a common place, it becomes more important to have an accurate means of detecting and classifying gasoline found at such sites of incidence. However, currently only a very few number of classification models have been ex... View full abstract»

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  • AntNet with Reward-Penalty Reinforcement Learning

    Publication Year: 2010, Page(s):17 - 21
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (563 KB) | HTML iconHTML

    The paper deals with a modification in the learning phase of AntNet routing algorithm, which improves the system adaptability in the presence of undesirable events. Unlike most of the ACO algorithms which consider reward-inaction reinforcement learning, the proposed strategy considers both reward and penalty onto the action probabilities. As simulation results show, considering penalty in AntNet r... View full abstract»

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  • Some Recent Major Events and Considerations for Modelling and Simulation

    Publication Year: 2010, Page(s):22 - 27
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1209 KB) | HTML iconHTML

    Large scale natural events are relatively rare, have a large to massive impact locally and globally over short or long time periods. They may have enormous consequences for the survival of the human race. They can be due to natural or human causes. This paper addresses some of the major causes and considers how modelling and simulation may be used to minimize their effects and raises validation an... View full abstract»

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  • A Non-linear Function Approximation from Small Samples Based on Nadaraya-Watson Kernel Regression

    Publication Year: 2010, Page(s):28 - 32
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (500 KB) | HTML iconHTML

    Solving function approximation problem is to appropriately find the relationship between dependent variable and independent variable(s). Function approximation algorithms normally require sufficient amount of samples to approximate a function. However, insufficient samples may result in unsatisfactory prediction to any function approximation algorithms. It is due to the failure of the function app... View full abstract»

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  • Key-Word Based Query Recognition in a Speech Corpus by Using Artificial Neural Networks

    Publication Year: 2010, Page(s):33 - 36
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (766 KB) | HTML iconHTML

    Information Retrieval deals with the easy access to the information based on the user's request, which will be presented in the form of a query. A dialog system that understands spoken natural language queries asks for further information if necessary and produces an answer to the speaker's query. Most of the research works in Information Extraction focus only on written language processing, in wh... View full abstract»

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  • Lane Detection for Intelligent Vehicles in Challenging Scenarios

    Publication Year: 2010, Page(s):37 - 43
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (633 KB) | HTML iconHTML

    Various image processing techniques and geometric models have been applied in vision based lane detection subsystems of intelligent vehicles and Advanced Driver Assistance Systems (ADAS). However, challenging conditions such as strong shadows, occlusions, eroded markings, high curvatures are ongoing issues in this topic. In this paper, a novel lane extraction method based on symmetrical local thre... View full abstract»

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  • A Modified Artificial Neural Network Learning Algorithm for Imbalanced Data Set Problem

    Publication Year: 2010, Page(s):44 - 48
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB) | HTML iconHTML

    A modified learning algorithm of Artificial Neural Networks (ANN) is introduced in this paper to solve imbalanced data set problems. In solving imbalanced data set, it is critical to predict the minority class due to their imbalanced nature. In order to improve the standard ANN classifier prediction performance, this paper focuses on optimizing the decision boundary of the step function at the out... View full abstract»

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  • A Particle Swarm Optimization Approach for Routing in VLSI

    Publication Year: 2010, Page(s):49 - 53
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (716 KB) | HTML iconHTML

    The performance of very large scale integration (VLSI) circuits is depends on the interconnected routing in the circuits. In VLSI routing, wire sizing, buffer sizing, and buffer insertion are techniques to improve power dissipation, area usage, noise, crosstalk, and time delay. Without considering buffer insertion, the shortest path in routing is assumed having the minimum delay and better perform... View full abstract»

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  • Context-Aware News Recommender in Mobile Hybrid P2P Network

    Publication Year: 2010, Page(s):54 - 59
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (652 KB) | HTML iconHTML

    With the emergence of pervasive environment, mobile recommender needs to make use of user in-time contextual information to provide personalized recommendation. In this paper, a proactive context-aware news recommender in mobile hybrid P2P network is designed and implemented. We develop a general Analytic Hierarchy Process (AHP) model through empirical studies. We discuss how the relative weight o... View full abstract»

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  • A Learning Rule-Based Robotics Hand Optimal Force Closure

    Publication Year: 2010, Page(s):60 - 66
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (561 KB) | HTML iconHTML

    This article presents an intelligent fuzzy rule-based approach for computing optimal set of joints torques, for manipulating a grasped object by a dexterous multi-fingered robotics hand. The intelligent approached followed here, is to let a learning fuzzy system to approximate a nonlinear force formulation for optimal contact forces. This has been achieved via following two major steps: The first ... View full abstract»

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  • A Straight Moving Path Planner for Mobile Robots in Static Environments Using Cellular Automata

    Publication Year: 2010, Page(s):67 - 71
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (680 KB) | HTML iconHTML

    Planning a collision free path for a robot in an environment with lots of obstacles is one of the most important issues in robotics. Path planning using robots draws the most attention when the planning environment is dangerous or inaccessible for human. In this paper a cellular automata based algorithm called SMPP (Straight Moving Path Planner) is presented for robot path planning problem. The ad... View full abstract»

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