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TENCON 2011 - 2011 IEEE Region 10 Conference

Date 21-24 Nov. 2011

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Displaying Results 1 - 25 of 292
  • [Copyright notice]

    Publication Year: 2011 , Page(s): c1
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  • Foreword from TENCON 2011 general chair

    Publication Year: 2011 , Page(s): i - ii
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (942 KB) |  | HTML iconHTML  

    The IEEE Indonesia Section and the TENCON 2011 Organizing Committee, have been looking forward and preparing for this IEEE milestone conference, with great anticipation and expectation. View full abstract»

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  • Foreword from TENCON 2011 organizing chair

    Publication Year: 2011 , Page(s): iii
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (932 KB) |  | HTML iconHTML  

    It is my great pleasure to welcome all of you to the IEEE TENCON 2011 in Bali - Indonesia. The IEEE TENCON is the Regional 10 annual conference hosted by the IEEE Region 10 which covers the Asia Pacific regional members, which is the largest geographical coverage in the IEEE, and it is organized by the IEEE Indonesia Section in collaboration with the Department of Electrical Engineering University... View full abstract»

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  • Sponsors and organizers

    Publication Year: 2011 , Page(s): iv
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  • Organizing Committee

    Publication Year: 2011 , Page(s): v - vi
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  • Program committee

    Publication Year: 2011 , Page(s): vii
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    Provides a listing of current committee members. View full abstract»

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  • Track chairs

    Publication Year: 2011 , Page(s): viii
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  • List of reviewers

    Publication Year: 2011 , Page(s): ix
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  • Schedule at a glance

    Publication Year: 2011 , Page(s): x - xii
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  • Keynote speech I

    Publication Year: 2011 , Page(s): xiii - xiv
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1181 KB) |  | HTML iconHTML  

    Engineering developments and innovations, as well as people's lifestyle in recent years are forcing educators to update Engineering curriculum to suit the needs of the students and their learning styles. In this talk the presenter will highlight the future trends in engineering education based on a recent review of literature and the views and experiences of the presenter as an educator. While Eng... View full abstract»

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  • Keynote speech II

    Publication Year: 2011 , Page(s): xv - xvi
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1246 KB) |  | HTML iconHTML  

    Widespread applications and commercial success of future GHz and THz electronic and photonic devices and systems including RF, microwaves and millimeter-waves are closely related to their manufacturing cost and circuit integration. Our proposed integration technologies of planar and non-planar structures as well as related new progress indicate that the emerging substrate integrated circuits (SICs... View full abstract»

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  • Keynote speech III

    Publication Year: 2011 , Page(s): xvii - xviii
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    For several weeks the world was riveted by Fukushima nuclear disaster. The risk from radiation and long-lived radioactive particles remain, and the world reaction about the future of nuclear energy development varies in each country in term of its interest. The bottom line is that the challenges remain high, the risks remain significant, and the inherence risks of nuclear technology for civilian o... View full abstract»

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  • Keynote speech IV

    Publication Year: 2011 , Page(s): xix - xx
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    Summary form only give. This talk introduces the recent progress and development of computational intelligence for Robots That Think (RTT). Considering the next generation of robotics [1-5], robot intelligence can be classified into six categories such as cognitive intelligence, social intelligence, behavioural intelligence, ambient intelligence, collective intelligence and genetic intelligence. T... View full abstract»

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  • Tutorial

    Publication Year: 2011 , Page(s): xxi
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  • Technical program

    Publication Year: 2011 , Page(s): xxii - lxix
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  • Author index

    Publication Year: 2011 , Page(s): lxx - lxxx
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  • A solution of front-back confusion within binaural processing by an estimation method of sound source direction on sagittal coordinate

    Publication Year: 2011 , Page(s): 1 - 4
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (471 KB) |  | HTML iconHTML  

    There are many proposals for binaural processing models and their applications for a hearing assistance system. These models attracts attention because of their directional selectivity in frontal direction of user. Not only binaural models but also any of two-element array system have a well know ambiguity in front-back discrimination which is called as “front-back confusion” or call... View full abstract»

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  • A comparative study on Daubechies Wavelet Transformation, Kernel PCA and PCA as feature extractors for arrhythmia detection using SVM

    Publication Year: 2011 , Page(s): 5 - 9
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (844 KB) |  | HTML iconHTML  

    The electrocardiogram (ECG) plays an important role in monitoring and preventing heart attacks. In this paper, we propose and compare the use of Daubechies WT (Daubechies Wavelet Transformation), Kernel PCA (Principal Component Analysis), and PCA as feature extraction methods in improving arrhythmia signals classification. The Kernel PCA employs linear, polynomial, and Gaussian kernels. We examine... View full abstract»

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  • A face recognition scheme based on spectral domain cross-correlation function

    Publication Year: 2011 , Page(s): 10 - 13
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (971 KB) |  | HTML iconHTML  

    This paper presents a simple yet efficient face recognition technique, where a feature extraction algorithm is proposed based on the principle of spectral domain cross-correlation. Instead of considering the spatial variation of a face image as a whole, first we concentrate on spectral variation of each row of the image individually, which is obtained using discrete cosine transform (DCT). As each... View full abstract»

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  • A new hybrid technique for solution of economic load dispatch problems based on Biogeography Based Optimization

    Publication Year: 2011 , Page(s): 19 - 24
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (791 KB) |  | HTML iconHTML  

    This paper presents a hybrid technique combining Evolutionary Strategy(ES) with Biogeography Based Optimization (BBO/ES) algorithm to solve economic load dispatch problems of thermal plants considering equality and inequality constraints, transmission losses and valve point loading. Biogeography is a recently developed heuristic algorithm which has shown impressive performance on many well known b... View full abstract»

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  • A study on face recognition in video surveillance system using multi-class Support Vector Machines

    Publication Year: 2011 , Page(s): 25 - 29
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (878 KB) |  | HTML iconHTML  

    In this paper, we present an evaluation of face recognition algorithm in video surveillance system using multi-class Support Vector Machine (SVM). We also show how the variation of sizes (due to distance) and intensity of training images (due to camera hardware) can improve the face recognition rate. The system starts by detecting the face regions using AdaBoost training algorithm. Holistic approa... View full abstract»

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  • An evolutionary learning model based on FSS and eigenspace approaches for distance-alterable face recognition

    Publication Year: 2011 , Page(s): 30 - 33
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (945 KB) |  | HTML iconHTML  

    In pattern recognition, the performance is almost limited by the quality of data and influence of environment. And, it is hard to consider all variations of data in advance. Thus, in this paper, we propose an evolutionary learning model which can utilize basic information to absorb related information. The performance can be improved because knowledge gets richer. However, if the wrong information... View full abstract»

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  • An optimal ILP algorithm for approaching identifying instruction set extension

    Publication Year: 2011 , Page(s): 34 - 38
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (1216 KB) |  | HTML iconHTML  

    In this paper, we proposed an optimal ILP approach to the instruction-set extension identification problem. An algorithm that iteratively generates and solves a set of ILP problems in order to generate a set of templates is proposed. A selection algorithm that ranks the generated templates based on isomorphism testing and potential evaluation is described. A Trimaran based framework is used to eva... View full abstract»

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  • Application of DWT and fuzzy logic algorithm for classifying simultaneous fault types

    Publication Year: 2011 , Page(s): 44 - 48
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (2912 KB) |  | HTML iconHTML  

    This paper proposes a technique using discrete wavelet transform (DWT) and fuzzy logic for identifying types of simultaneous fault along the transmission systems. The PSCAD/EMTDC is used to simulate fault signals. The mother wavelet daubechies4 (db4) is employed to decompose high frequency component from these signals. The coefficients detail (phase A, B, C and zero sequence of post-fault current ... View full abstract»

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  • Artificial Bee Colony algorithm with Self-Adaptive Mutation: A novel approach for numeric optimization

    Publication Year: 2011 , Page(s): 49 - 53
    Save to Project icon | Request Permissions | Click to expandAbstract | PDF file iconPDF (820 KB) |  | HTML iconHTML  

    This paper introduces a variant of Artificial Bee Colony algorithm and compares its results with a number of swarm intelligence and population based optimization algorithms. The Artificial Bee Colony (ABC) is an optimization algorithm based on the intelligent food foraging behavior of honey bees. The proposed variant, Artificial Bee Colony with Self-Adaptive Mutation (ABC-SAM) makes attempts to dy... View full abstract»

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