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Real time face recognition applications use face recognition algorithms, which extract information such as shape, size, and position of facial features (eyes, nose, ear, lips) and then compare this extracted feature to stored featured database to locate matching images. Face recognition application used in airport security, in passport office, in R.T.O office, in government organization, in development and research department. In this paper we implement a application which recognize a face and minimize computation time using our mobile-cloudlet-cloud architecture named MOCHA. And also develop an algorithm for percent variance. Our experimental result demonstrate that we can communicate anywhere from the world by using jelastic cloud. We will run application on mobile devices using jelastic cloud as the backend server.

Wireless Sensor Networks (WSNs) have gained due importance for applications requiring remote sensing. The major challenges faced are related to energy and routing. The sensor nodes being battery operated devices of limited resources, techniques like data aggregation, selective node activation and energy efficient routing are adopted with main focus of saving energy. The objective is to prolong life of the network and also distribute the load evenly among the nodes. Several approaches have been suggested in literature; mostly for homogeneous WSNs only. Fuzzy logic has recently been opted for selection of cluster heads in these networks. This paper proposes a fuzzy logic based unequal clustering protocols for WSNs in heterogeneous settings. Four decision criteria for selecting cluster heads are input to the fuzzy logic which gives two outputs instead of one. This unique feature makes the proposed method effective.

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