A Bibliometric Analysis of the Surveys in Blockchain

Blockchain has become an emerging technology in the field of computer science and is used for asset security, anonymity, and verifiability, etc. Enormous use cases of blockchain, e.g., for making online payments, storing or sharing of private data in a tamper-proof way has attracted the research community in the past decade. In this regard, a lot of survey papers have been published focusing on the domain-specific exploratory study of applying blockchain in that particular domain. In this paper, we collected those survey papers published and collected $542$ unique papers covering the span of $2017$ to $2020$ published in different venues. We then perform a bibliometric study on those papers and provide interesting insights on different features extracted from that papers. We hope this study will serve as a valuable resource for the blockchain community.

Face Detection and Face Recognition In the Wild Using Off-the-Shelf Freely Available Components

This paper presents an easy and efficient face detection and face recognition approach using free software components from the internet. Face detection and face recognition problems have wide applications in home and office security. Therefore this work will helpful for those searching for a free face off-the-shelf face detection system. Using this system, faces can be detected in uncontrolled environments. In the detection phase, every individual face is detected and in the recognition phase the detected faces are compared with the faces in a given data set and recognized.