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Today in Modern Society Face Recognition has gained much attention in the field of network multimedia access. After the 9/11 tragedy in India, the need for technologies for identification, detection and recognition of suspects has increased. One of the most common biometric recognition techniques is face recognition since face is the convenient way used by the people to identify each other. In this paper we are going to study a method for representing face which is based on the features which uses geometric relationship among the facial features like mouth, nose and eyes .Feature based face representation is done by independently matching templates of three facial regions i.e eyes, mouth and nose .Principal Component Analysis method which is also called Eigen faces is appearance based technique used widely for the dimensionality reduction and recorded a greater performance in face recognition. Here we are going to study about PCA followed by Feed Forward Neural Network called PCA-NN.

In this paper by utilizing the capabilities of modern ubiquitous operating systems we introduce a comprehensive framework for a ubiquitous translation and language learning environment for English to Sanskrit Machine Translation. We present an application for learning Sanskrit characters, sentences and English Sanskrit translation. For the implementation, we have used the open-source Android platform on the Samsung Mini2440, a state-of-the-art development board. We present our current state of implementation, the architecture of our framework,and the findings we have gathered so far. In addition to this, here we describes the Phrase-Based Statistical Machine Translation Decoder for English to Sanskrit translation in ubiquitous environment. Our goal is to improve the translation quality by enhancing the translation table and by preprocessing the Sanskrit language text .

In this paper, we are presenting the approach to convert the text based monolingual corpus to Part-Of-Speech tagging using an standard tagging tool in tagged file and then convert tagged file in the XML format as per defined DTD (Document Type Definition). The tagged text document is parsed through the logic to generate the corpus in XML and also, it can be further used for Information Retrieval, Text-To-Speech conversion, Word Sense Disambiguation and also useful for preprocessing step of parsing by providing unique tag to each word which reduces the number of parses. General TermsNatural Language Processing

To manage large volume of data, most of the organizations and data owners outsource their data to remote cloud storage servers. Since the remote servers are untrusted party, the data has to be encrypted to achieve security and privacy. But encryption and decryption causes communication overhead for many data utilization operations like searching and updating. To overcome this contradiction, searchable encryption notion was introduced. Searchable encryption (SE) is an ability of a server to search upon the ciphertext and retrieve the data without decrypting it. By searching on the ciphertext it protects the user’s tactful data. This article concentrates on study of various resil-ient keyword search schemes in area of Cloud SE. The main basis for SE evolution is attaining the challenging task of efficient enci-phered data utilization with privacy check. Thus schemes are developed considering their search capability, efficiency and security. In this paper we summarize and analyze various available keyword searchable schemes based on query expressiveness and query correct-ness. We review articles which have extensively researched in the field of SE with various keyword search schemes.