Visible watermarking is the process of embedding data (watermark) into a multimedia object (video/image) such that the embedded watermark is perceptible to a human observer. Many times, visible watermarks occlude important portion of multimedia objects. This paper introduces a visible watermarking algorithm to embed a binary logo watermark at N non-overlapping positions in an image such that important portions of the image are not occluded. The important portions are found through visual saliency computation or available human eye fixation density maps. In the proposed visible watermarking, just noticeable distortion is used to adaptively filter the watermark embedding energy based on the image content. A mathematical model in terms of information-content-weightedstructural-similarity-index and visual importance is proposed to find optimal watermark embedding strength. We tested the algorithm on several color images of different sizes and on several binary watermarks of different sizes and found the results to be very promising as per the requirements in visible watermarking. When compared to the state-of-the-art, we also found that the proposed technique does better in not hiding the details of any test image.

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An online voting system for Indian election is proposed for the first time in this paper. The proposed model has a greater security in the sense that voter high security password is confirmed before the vote is accepted in the main database of Election Commission of India. The additional feature of the model is that the voter can confirm if his/her vote has gone to correct candidate/party. In this model a person can also vote from outside of his/her allotted constituency or from his/her preferred location. In the proposed system the tallying of the votes will be done automatically, thus saving a huge time and enabling Election Commissioner of India to announce the result within a very short period.

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In this paper a hybrid digital video watermarking scheme based on discrete wavelet transform and singular value decomposition is proposed. Unlike the most existing watermarking schemes, the used watermark is a gray scale image instead of a binary watermark. The watermark is embedded in the original video frames by first converted it into YCbCr color space and than decomposing the luminance part (Y component) into four sub-bands using discrete wavelet transform and finally the singular values of LL sub-band are shaped perceptually by singular values of watermark image. The experimental result shows a tradeoff between imperceptibility and resiliency against intentional attacks such as rotation, cropping, histogram stretching, JPEG compression on individual frames, Indeo5 video compression and unintentional attacks like frame swapping, frame averaging, frame insertion and different types of noise addition. Superiority of the proposed scheme is carried out by comparison with existing schemes to reveal its efficiency for practical applications.

Service Oriented Architecture (SOA) is an architectural approach that can be shared and reused. Shortage of studies, research thrust and limited expertise in the area of SOA keeps the application of SOA in Small and Medium Enterprises (SMEs) limited. Also in a country like India, whose major economy is dependent on the small and medium enterprises, the Indian Government is promoting the growth in this sector. Successful examples of individual automated enterprise services and traditional ERP implementation systems exist but there is a lack of holistic, integrated technical solutions that can be applied in small and medium size enterprises. In this paper we propose a five layered SOA based architecture that can integrate all activities comprising Supply Chain Management (SCM), Customer Relationship Management (CRM), Technical and Enterprise Applications Tools according to SMEs requirement. We also compared our model with traditional ERP systems and other similar approaches and found the proposed model is efficient, cost effective and competent with similar existing solutions.

Banks have been already offering a wide variety of products and services, integrated with technology and automation, the most familiar being ATM machines all around us. Now moving to the next level in the present Industry 4.0 era, Banking sector is all set to amplify its strategy implementation by leveraging latest digital technologies so that its customers may experience swift and secure processing of transactions. This study examined the evolution, adoption, implementation and future opportunities of leveraging Artificial Intelligence (AI) for successful strategy implementation in India"s banking sector. In pursuance of this study, authors reviewed extensive literature, explored secondary data about the research work done on "Artificial Intelligence in Banking Sector" to find out the current status of research as well as practical application of AI in various aspects of banking strategies e.g. surveillance, fraud detection, ensuring compliances, credit assessment, customer service, handling monotonous voluminous tasks etc. in general and focusses on recent developments in context of India"s banking sector, urging banking leadership to shift their focus proactively towards leveraging AI with an objective to bring in delight for customers.