Although electronic voting has been used for many decades, electoral organizations are still adopting it. Despite technologies that preserve the secrecy, authenticity, and privacy of data, vote-rigging and privacy breaches remain a risk in e-voting systems. Blockchain is a distributed technology that underpins bitcoin. It appears to be a fit for digital election systems, as it provides a chance to keep data secret and prohibit data manipulation. But blockchain alone is not enough to address other concerns that come up during elections such as how to make sure that the person voting has the right to do so while keeping their identity disconnected from their vote. The user can safely vote from the three-levels of authentication: OTP, QR codeshare, and blockchain. Here, the system contains a secured timestamp and the hashcode which is used to identify attacks on the distributed server. These protected services provide secure vote casting and remedies for security issues. The legal limitations are also analyzed in the blockchain distributed ledger.
Video compression plays a vital role in the modern social media networking with plethora of multimedia applications. It empowers transmission medium to competently transfer videos and enable resources to store the video efficiently. Nowadays high-resolution video data are transferred through the communication channel having high bit rate in order to send multiple compressed videos. There are many advances in transmission ability, efficient storage ways of these compressed video where compression is the primary task involved in multimedia services. This paper summarizes the compression standards, describes the main concepts involved in video coding. Video compression performs conversion of large raw bits of video sequence into a small compact one, achieving high compression ratio with good video perceptual quality. Removing redundant information is the main task in the video sequence compression. A survey on various block matching algorithms, quantization and entropy coding are focused. It is found that many of the methods having computational complexities needs improvement with optimization.
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.