Recently, a novel transformation technique for Datalog programs , called the branching transformation, was introduced by the authors. In this paper we propose a signiicant extension of the branching transformation which we believe opens-up a promising new direction of research in the area of value-propagating Datalog optimizations. One of the novel characteristics of the proposed approach is th...

Transformation model plays a vital role in medical image processing. This paper describes a new Transformation model (NTM) which is hybrid of linear and non linear Transformations techniques for the detection of tumor. In NTM, patient image is compared with reference images, which is block based. An image similarity measure quantifies the degree of similarity between intensity patterns in two i...

Abstract—Watermarking is a technique of embedding imperceptible signal in to a digital content mainly for protecting authentication information of content owner. It adds a layer of security to the content and helps in identifying unauthorized access. fight by making use of hidden copyright information. It is also helps to protect the content from several attacks on it. In this paper we use tran...

A novel galvanostatic intermittent titration technique (GITT) and a novel potentiostatic intermittent titration technique (PITT) for phase-transformation electrodes were developed by integrating mixed control phasetransformation theory with traditional GITT and PITT methods. The contribution of the strain accommodation energy to the thermodynamic driving force for phase transformation was asses...

In this paper a novel technique, Authentication and Secret Message Transmission using Discrete Fourier Transformation (ASMTDFT) has been proposed to authenticate an image and also some secret message or image can be transmitted over the network. Instead of direct embedding a message or image within the source image, choosing a window of size 2 x 2 of the source image in sliding window manner an...

In this paper Standard Error of Mean (SEM), as a new technique, is used for transforming multi-objective linear programming problems (MOLPPs) to the single objective (SOLPPs). To end, an algorithm has been proposed and suggested solve MOLPPs, which have tested through numerical examples by employing Excel Solver. However, study compares results other techniques like (Chandra Sen, Optimal Averag...