iosr-JCE   Volume-12 ~ Issue-1

Abstract: Information and Communication Technology (ICT) is relatively a new area in human development that combines the technology of various electronic devices. The use of them and the distribution of these facilities with reference to the geographical location are made known. The paper highlights the concept of ICT, the impact of ICT in the teaching and learning context, the role of ICT in the teaching and learning of Science and Mathematics. The various implications of ICT for sustainable development are also exhaustively discussed. The paper then concludes with adequate recommendations to ensure widespread use of ICT nationwide. Keywords: Impacts, ICT, Science, Mathematics, Sustainable Develpoment,

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Abstract: This paper illustrates some key recent developments in the area of wireless networking. It also illustrates the key concepts of security, wireless networks, and security over wireless networks. Wireless security is demonstrated by explaining the main specifications of the common security standards. This paper also provides information about latest development in wireless security network with standards like 802.11ac 802.11n WPA and WPA2

Keywords: WPA, WPA2, 802.11ac,802.11,

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Abstract: We present a system to detect and track moving vehicles based on the pixelwise classification approach. In this approach escapes some of the existing frameworks for detection vehicles in traffic monitoring systems. So many researchers and intelligent minds are introduces so many technique but not provided the accurate results. Proposed technique uses designed pixel wise classification method, canny edge detection techniques and back ground color subtraction method that leads to accurate results in vehicle detection rate. Pixel wise classification provides not only region wise but also sliding window also detected the vehicles. The feature extraction performed in both training and detection stages. The classification purpose we use dynamic Bayesian networks and in this network vehicle and non vehicle are identify purpose used a support vector machine. The classification of vehicles and non vehicles are identification purpose used a color histogram algorithm. When we performed all the methods easily identify the vehicles and provides accuracy results to compare the previous approaches. In experimental results are shown in different videos are taken at different cameras and different heights in surveillance systems.

Keywords – Aerial surveillance, Canny edge detection, Dynamic Bayesian Networks, Soft Computing, and Vehicle Detection.

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