Nowadays, the demands on the usage of wireless network are increasing rapidly from year to year. Wireless network is a large scale of area where many nodes are connecting to each other to commun icate using a device. Primarily, wireless network also tend to be as a link to transmit and receive any multimedia such as image, sound, video, document and etc. In order to receive the transmitted media correctly, most type of media must be compressed before being transmitted and decompressed after being received by the device or else the device used must have the ability to read the media in a compressed way. In this paper, a hybrid compression of Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with Huffman encoding technique are proposed for Wireless Sensor Network (WSN) application. Data compression is very useful to remove the redundant data and reduce the size of image. After conducting a comprehensive observation, it is found that hybrid compression is suitable due to the process consist of the combination of multiple compression techniques which suits for Wireless Sensor Network's application focusing on ZigBee platform.
<span>With the advancement in technology, antennae are becoming a popular components to be used in various applications. Following the trend, a compact design of ultra-wideband (UWB) bistatic configuration of the antenna is presented in this paper using ground penetrating radar (GPR) technology specifically for detection applications. The antenna is first designed and simulated using defected ground structure (DGS) for impedance bandwidth with the obtained gain of around 6.2 dB and return losses from 3-16 GHz. Later the complete detection model is aimed to study and for this purpose CST is used to model human skin and performed an experiment based on antennas i.e. transmitter and receiver, obstacle and target, to study and analyze the received antenna reflections for detection purpose.</span>
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