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INDONESIA
Computer Engineering and Applications Journal (ComEngApp)
Published by IAES Indonesia Section and Partners
ISSN : -     EISSN : -     DOI : -
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Articles 6 Documents
 1 
Search results for , issue "December 2012" : 6 Documents clear
A Survey of Hand Gesture Dialogue Modeling For Map Navigation Yee Yong Pang; Nor Azman Ismail
Computer Engineering and Applications Journal (ComEngApp) December 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

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Abstract

Human trends to use hand gesture in communication. The development of ubiquitous computer causes the possibility of human to interact with computer natural and intuitive.  In human-computer interaction, emerge of hand gesture interaction fusion with other input modality greatly increase the effectiveness in multimodal interaction performance. It is necessary to design a hand gesture dialogue based on the different situation because human have different behavior depend on the environment. In this paper, a brief description of hand gesture and related study is presented. The aim of this paper is to design an intuitive hand gesture dialogue for map navigation. Some discussion also included at the end of this paper.
Using Power-Law Degree Distribution to Accelerate PageRank Zhaoyan Jin; Quanyuan Wu
Computer Engineering and Applications Journal (ComEngApp) December 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

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Abstract

The PageRank vector of a network is very important, for it can reflect the importance of a Web page in the World Wide Web, or of a people in a social network. However, with the growth of the World Wide Web and social networks, it needs more and more time to compute the PageRank vector of a network. In many real-world applications, the degree and PageRank distributions of these complex networks conform to the Power-Law distribution. This paper utilizes the degree distribution of a network to initialize its PageRank vector, and presents a Power-Law degree distribution accelerating algorithm of PageRank computation. Experiments on four real-world datasets show that the proposed algorithm converges more quickly than the original PageRank algorithm.
Monitoring and Resource Management in P2P Grid-Based Web Services Djafri Laouni; Mekki Rachida
Computer Engineering and Applications Journal (ComEngApp) December 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

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Abstract

Grid computing has recently emerged as a response to the growing demand for resources (processing power, storage, etc.) exhibited by scientific applications. However, as grid sizes increase, the need for self-organization and dynamic reconfigurations is becoming more and more important. Since such properties are exhibited by P2P systems, the convergence of grid computing and P2P computing seems natural. However, using P2P systems (usually running on the Internet) on a grid infrastructure (generally available as a federation of SAN-based clusters interconnected by high-bandwidth WANs) may raise the issue of the adequacy of the P2P communication mechanisms. Among the interesting properties of P2P systems is the  volatility of  peers  which  causes  the  need  for  integration  of  a  service fault tolerance. And service Load balancing,   As a solution, we proposed a mechanism of fault tolerance and model of Load balancing  adapted to a grid P2P model, named SGRTE (Monitoring and Resource Management, Fault Tolerances and Load Balancing).
Lightweight Solar Vehicle Impact Analysis Using ABAQUS/EXPLICIT Rossi Passarella; Zahari Taha
Computer Engineering and Applications Journal (ComEngApp) December 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

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Abstract

This paper described the Abaqus/Explicit 6.7 simulation work performed to study the frontal crash impact condition for an in-house designed and produced lightweight solar vehicle main structural body. The structural body was fabricated from aluminum hollow pipes welded together. The analysis is needed to safeguard the safety of the vehicle driver. The dynamic response of the vehicle structure when subjected to frontal impact condition was simulated, according to NASA best practice for crash test methodology. The simulated speed used was based on the NHTSA standard. Comparison of the analysis with the standard Head Injury Criteria (HIC) and Chest Injury Criteria (CIC) revealed that the driver of the designed vehicle would not be risk because the acceleration resultant was found to be lower than 20 G.  The analysis also proved that structural component was able to protect the driver during any frontal collision incident. However, to ensure the safety of the driver, safety precautions such as the use of seatbelt and helmet as well as driving below the speed limit are recommended.
Circularly Polarized Slotted Microstrip Patch Antenna with Finite Ground Plane Sanyog Rawat; K K Sharma
Computer Engineering and Applications Journal (ComEngApp) December 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

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Abstract

In this paper a new geometry of circularly polarized patch antenna is proposed with improved bandwidth. The radiation performance of proposed patch antenna is investigated using IE3D simulation software and its performance is compared with that of conventional rectangular patch antenna. The simulated return loss, axial ratio and impedance with frequency for the proposed antenna are reported in this paper. It is shown that by selecting suitable ground-plane dimensions, air gap and location of the slots, the impedance bandwidth can be enhanced upto 10.15% as compared to conventional rectangular patch (4.24%) with an axial ratio bandwidth of 4.05%.
Combined Classifier for Face Recognition using Legendre Moments Sridhar Dasari; I.V. Murali Krishna
Computer Engineering and Applications Journal (ComEngApp) December 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

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Abstract

In this paper, a new combined Face Recognition method based on Legendre moments with Linear Discriminant Analysis and Probabilistic Neural Network is proposed. The Legendre moments are orthogonal and scale invariants hence they are suitable for representing the features of the face images. The proposed face recognition method consists of three steps, i) Feature extraction using Legendre moments ii) Dimensionality reduction using Linear Discrminant Analysis (LDA) and iii) classification using Probabilistic Neural Network (PNN). Linear Discriminant Analysis searches the directions for maximum discrimination of classes in addition to dimensionality reduction. Combination of Legendre moments and Linear Discriminant Analysis is used for improving the capability of Linear Discriminant Analysis when few samples of images are available. Probabilistic Neural network gives fast and accurate classification of face images. Evaluation was performed on two face data bases. First database of 400 face images from Olivetty Research Laboratories (ORL) face database, and the second database of thirteen students are taken. The proposed method gives fast and better recognition rate when compared to other classifiers.

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