Computer Engineering and Applications Journal (ComEngApp, Universitas Sriwijaya)
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102 research outputs found
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A Survey of Hand Gesture Dialogue Modeling For Map Navigation
No full textHuman 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
Monitoring and Resource Management in P2P Grid-Based Web Services
No full textGrid 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).DOI: 10.18495/comengapp.12.07108
Combined Classifier for Face Recognition using Legendre Moments
No full textIn 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.DOI:Â 10.18495/comengapp.12.10711
Anomaly detection using clustering for ad hoc networks -behavioral approach-
No full textMobile ad hoc networks (MANETs) are multi-hop wireless networks of autonomous mobile nodes without any fixed infrastructure. In MANETs, it is difficult to detect malicious nodes because the network topology constantly changes due to node mobility. Intrusion detection is the means to identify the intrusive behaviors and provide useful information to intruded systems to respond fast and to avoid or reduce damages. The anomaly detection algorithms have the advantage because they can detect new types of attacks (zero-day attacks).In this paper, the Intrusion Detection System clustering-based (ID-Cluster) that fits the requirement of MANET is presented. This work addresses both routing layer misbehaviors issues, with main focuses on thwarting routing disruption attack Dynamic Source Routing (DSR). To validate the research, a case study is presented using the simulation with GloMoSim at different mobility levels. Simulation results show that proposed system can achieve desirable performance and meet the security requirement of MANET
Survey of Text Plagiarism Detection
No full textIn this paper we are going to review and list the advantages and limitations of the significant effective techniques employed or developed in text plagiarism detection. It was found that many of the proposed methods for plagiarism detection have a weakness and lacking for detecting some types of plagiarized text. This paper discussed several important issues in plagiarism detection such as; plagiarism detection Tasks, plagiarism detection process and some of the current plagiarism detection techniques
Clustering Batik Images using Fuzzy C-Means Algorithm Based on Log-Average Luminance
No full textBatik is a fabric or clothes that are made with a special staining technique called wax-resist dyeing and is one of the cultural heritage which has high artistic value. In order to improve the efficiency and give better semantic to the image, some researchers apply clustering algorithm for managing images before they can be retrieved. Image clustering is a process of grouping images based on their similarity. In this paper we attempt to provide an alternative method of grouping batik image using fuzzy c-means (FCM) algorithm based on log-average luminance of the batik. FCM clustering algorithm is an algorithm that works using fuzzy models that allow all data from all cluster members are formed with different degrees of membership between 0 and 1. Log-average luminance (LAL) is the average value of the lighting in an image. We can compare different image lighting from one image to another using LAL. From the experiments that have been made, it can be concluded that fuzzy c-means algorithm can be used for batik image clustering based on log-average luminance of each image possessed
Using Power-Law Degree Distribution to Accelerate PageRank
No full textThe 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
Circularly Polarized Slotted Microstrip Patch Antenna with Finite Ground Plane
No full textIn 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%.DOI:Â 10.18495/comengapp.12.09710
Design of Prototype Payment Application System With Near Field Communication (NFC) Technology based on Android
No full textoai:ojs2.comengapp.unsri.ac.id:article/1Since the late 1990s, people have enjoyed a comfortable lifestyle. Mobile devices supported by the development of wireless networks have spread throughout the world. People can get information, order tickets, download songs and perform commercial transactions, called mobile commerce. Mobile commerce applications become the most popular application for mobile device users who want to do business and financial transactions easily and securely, anytime and anywhere they are. Today the use of physical cash is experiencing a decline in popularity in the business world, because it is being replaced by non-physical payments are often called electronic money (e-money). An important technology behind mobile payments is called Near Field Communication (NFC). As an indication that the NFC has tremendous business potential, leading companies like Nokia, Microsoft, Visa Inc., and MasterCard Worldwide and NXP Semiconductors, is actively engaged on them. Payment processing integrated with NFC technology based mobile operating system that is a trend today is Android that support NFC technology is version 2.3.3 Gingerbread. The prototype application is designed to pay for 2 on the user side of the user as consumer and the merchant side as a trader or seller by using the handset that already have NFC technology is Google Samsung Nexus S. Pay an application prototype also implements the concept of security in e-commerce transactions by using the protocol-to-Tag Tag so that the user needs for security and comfort during the financial transaction are met.
 
Techniques for Component-Based Software Architecture Optimization
No full textAlthough Component-Based System (CBS) increases the efficiency of development and reduces the need for maintenance, but even good quality components could fail to compose good product if the composition is not managed appropriately. In real world, such as industrial automation domain, this probability is unacceptable because additional measures, time, efforts, and costs are required to minimize its impacts. Many general optimization approaches have been proposed in literature to manage the composition of system at early stage of development. This paper investigates recent approach es used to optimize software architecture. The results of this study are important since it will be used to develop an efficient optimization framework to optimize software architecture in next step of our ongoing research