Due to demand of information transfer through higher speed wireless communication network, it is time to think about security of important information to be transferred. Further, as these communication networks are part of open channel, to preserve the security of any Critical Information (CI) is really a challenging task in any real-time application. Data hiding techniques give more security and robustness of important CI against encryption or cryptographic software solutions. However, hardwired approach exhibits better solution not only in terms of reduction of complexity but also in terms of adaptive real-time output. This paper demonstrates frequency, Discrete Cosine Transform (DCT) domain Steganographic data hiding hardware solution for secret communication called Crypto-Stego-Real-Time (CSRT) System. The challenge is to design a secure algorithm keeping reliability of minimum distortion of original cover signal while embedding considerable amount of CI. Field Programmable Gate Array (FPGA) implementation shown in this paper is more secure, robust, and fast. Pipelining process while embedding enhances the speed of embedding, optimizes the memory utilization, and gives better Peak Signal to Noise Ratio (PSNR) and high robustness. Practically implemented hardware Steganographic solutions shown in this paper also give better performance than that of the current state-of-the-art hardware implementations.

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Now a day people are facing many health related problems.There is large amount of data that is not structured. The gathered information is raw and unstructured in the nature, so there is a need of converting it to meaningful services. In this paper such system is developed which will provide web service that will be available to any other person easily. Every person should get the healthcare services anywhere, every time even at their home also. For this purpose a platform is developed so that patient specially senior citizens can know their electro Cardiogram (ECG) or also can be said as heart rate, oxygen rate, temperature rate, through an android mobile application specially developed for the healthcare. This overall concept is developed under the Internet of Things as well as cloud computing environment. App which is developed named as 'Patient Health Monitoring'. This paper gives an idea about Adriano kit which used in the project. This paper also gives an idea about the sensors which are used to measure above mentioned measures. A Bluetooth sensors is also used here for the connectivity. Server will be any network connection such as Wi-Fi.

Text reading in images or video is important step to achieve content retrieval from images. The content retrieve from image or video content useful information it act as clue for many image based applications such as scene understanding, content based image retrieval text based image indexing, industrial automation. Locating or detecting text from complex background is a challenging task due to variation in size, orientation, style. This paper describes the techniques which try to solving this problem.