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Volume II Issue V

Author Name
S Wongsaenmai
Year Of Publication
2010
Volume and Issue
Volume 2 Issue 5
Abstract
This paper introduces a hand gesture recognition system to recognize real time gesture in unstrained environments. Efforts should be made to adapt computers to our natural means of communication: Speech and body language. A simple and fast algorithm using orientation histograms will be developed. This method deals with the dynamic aspects of gestures. Gestures are extracted from a sequence of video images by tracking the skin–color blobs corresponding to the hand into a body face space centered on the face of the user A pattern recognition system will be using a transform that converts an image into a feature vector, which will be compared with the feature vectors of a training set of gestures. The final system will be implemented with a Back propagation neural network.
PaperID
2010/EUSRM/02/05/1008

Author Name
N Suratannon
Year Of Publication
2010
Volume and Issue
Volume 2 Issue 5
Abstract
Mobile devices refer all kinds of devices that have mobility, such as laptops, PDAs, tablet PCs, and smart phones. Previous mobile devices were notorious for restricted battery power and low CPU performance. Mobile devices have several problems, such as unstable wireless connection, limitation of power capacity, low communication bandwidth and frequent location changes. As resource providers, mobile devices can join and leave the distributed computing environment unpredictably. This interrupts the undergoing operation, and the delay or failure of completing the operation may cause a system failure. Because of low reliability and no-guarantee of completing an operation, it is difficult to use a mobile device as a resource. That means that mobile devices are volatile. Because a join or a leave of a mobile device is unpredictable, the undergoing process can be also interrupted unpredictably. This interruption causes the delay of operation completion, and could lead a system to a fault. Therefore, operations on mobile devices are not guaranteed for completion. This reduces the reliability of mobile devices and prevents mobile devices from being used as resource. Therefore, the dynamic characteristics of mobile devices must be considered and solved, in order to guarantee the stable usage of mobile devices as resources. [1].
PaperID
2010/EUSRM/02/05/1019

Author Name
K AM
Year Of Publication
2010
Volume and Issue
Volume 2 Issue 5
Abstract
In a P2P network which employs the use of a purely decentralized design, and where everyone participates equally in the network as both a client and a server. Machines were assumed to be always switched on, always connected and assigned permanent IP. In this paper, we propose the Modified Search algorithm to improve the search efficiency of unstructured P2P networks by giving higher querying priority to peers with high querying reply capabilities which is based on bandwidth, locality, reliability and quantity of available data. We categorized all peers based on their performance in the network. Our experiment shows that the Modified Search algorithm can improve the search efficiency without resorting to index operations. O ur simulation shows that the Modified Search algorithm increases the efficiency of network from 23.55 to 90.9 percent.
PaperID
2010/EUSRM/02/05/1024

Author Name
V Carvalho, K C Onwueme
Year Of Publication
2010
Volume and Issue
Volume 2 Issue 5
Abstract
— A mobile ad hoc network is a collection of wirele ss mobile nodes dynamically forming a temporary network without the use of any existing network infrastructure or Centralized administration. Each node in the network also acts as a router, forwarding data packets for other nodes. Because of the nature of ad hoc networks, there are special demands for ad hoc routing protocols. The routing protocol must be able to keep up with the high degree of node mobility that often changes the network topology drastically and unpredictably. Many routing protocols for ad hoc networks have been proposed like the Dynamic Source Routing protocol (DSR), Ad Hoc On-Demand Distance Vector protocol (AODV) and Destination-Sequenced Distance-Vector Routing Protocol (DSDV). So there is need to carry out brief comparison for selecting better routing protocol in specified circumstances and requirements. Our goal is to carry out a systematic performance study of three dynamic routing protocols (AODV, DSR, and DSDV) for ad hoc networks. This paper analyzes these three protocols using the NS2.34 (network simulator) simulation environment. The scenarios used in the simulation experiments take into account a variety of environmental factors that influence protocol performance. The performance of the protocols is compared in terms of their End-to-end delay, Jitter (packet delay variation), Packet delivery ratio, Routing load and Throughput.
PaperID
2010/EUSRM/02/05/1030