Capturing of digital images through Mobile based e-governance applications are growing day-by-day and issue related to protection of copyrights of digital images has become very critical. Protecting these high-volume geo-tagged time stamped digital images captured through android apps and ensuring that these images are suitable for social audit are key challenge for today’s application development. Digital image watermarking is a process by which secret information can be in digital images so that it is possible to guard copyrights. The paper discusses an efficient digital image watermarking system using lifting wavelet transform. The proposed algorithm aims to minimize distortion of selected watermarked image. The performance of the algorithm has been tested using available images with MATLAB and their results have been properly analyzed with existing methods. The variance value between coefficients of lifting wavelet transform (LFT) in a block with size 2 x 2 has been chosen for embedding the binary watermark and the blocks are also then shuffled randomly. The result of various experiments has demonstrated that the developed algorithm is robust against various types of attacks being applied.
Software licensing requires understanding of hardware architecture as they do depend upon number of physical processors and core and look into vendor specifications to find about factors to use and then perform lot of calculations to get the correct sizing for a software product. This task need to be performed very carefully otherwise organization may have to pay software related penalties. Software licensing in cloud computing model can be much simpler; however, if not handled properly it can be even worse. Some software vendors are innovating and offering "pay as you go" model in the cloud environment, where as some customers pay based on utilization-per hour, per day or even per user-others still don't have policies to make their software cloud-friendly. Cloud computing represents a major shift in information systems architecture, combining both new deployment models and new business models. Rapid provisioning, elastic scaling, and metered usage are essential characteristics of cloud services, and they require cloud resources with these same characteristics. When cloud services depend on commercial software, the licenses for that software become another resource to be managed by the cloud. This paper examines common licensing models, and how well they function in a cloud services model. This discusses creative, new, cloud-centric licensing models and how they allow providers to preserve and expand their revenue streams as their partners and customers transition to the cloud.
A Proposed device designed to protect the crops not only from the birds but also it is equipped with the multiple sensors to sense and repel the wild animals also from the cropland. It is also designed to sense any kind of fire around the cropland. It can also sense the moisture level of soil and alarm the farmers about it if moisture level goes down or high. In this research paper we have done an experiment to check the effect of temperature on this device. We have kept this device under various environments with different temperature and keep on observing it 24 hours. This DIEL cycle of 24 hours in various temperatures shows the effects of temperature on this designed model. We have clearly found out the effects of temperature on this device and can work efficiently in our region. We can also extend this experiment in various regions of country also. For this experiment, we have chosen our local area of Ara, Bihta and Patna. We have tried to find out the difficulties in working environment of this device.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.