Emergent Big Data applications have become gradually more essential. In reality, a lot of institutes, businesses and in general entire society from diverse segments depend more and more on information take out from enormous quantity of raw information, statistics and numbers. On the other hand, in Big Data perspective, customary information methods and policies are not as much of capable. They prove a time-consuming receptiveness and are short of quantifiability, measurability, presentation and accurateness. To solve the composite Big Data constraints and difficulties, a large amount effort has been carried out. As an effect, different categories of packages, distributions and technologies have been developed. In this paper an evaluation is done, this studies recent technologies developed for Big Data. It aims to assist to choose and adopt the exact combination of diverse Big Data technologies according to their technological, scientific needs and particular applications requirements. It provides not only a worldwide sight of most important Big Data technologies but also relationship according to special organizational, classifications levels
Peoples who are deaf/dumb use Sign language to convey their message to normal people. Sign language detector using cloud provides us an innovative, user friendly way of interaction with the computer which is more familiar to human beings. Sign language detector has a wide area of application including human machine interaction, sign language, immersive game technology etc. By keeping in mind, the similarities of human hand shape with four fingers and one thumb, this paper aims to present a real time system for sign language detector on the basis of detection of some meaningful shape-based features like orientation, center of mass (centroid), status of fingers, thumb in terms of raised or folded fingers of hand and their respective location in image. The approach introduced in this paper is totally depending on the shape parameters of the hand gesture. It does not consider any other means of hand gesture recognition like skin color, texture because these image-based features are extremely variant to different light conditions and other influences. To implement this approach, we have utilized a simple web cam which is working on 20 fps with 7 mega pixel intensity. Keywords: Sign language detector, cloud
Nowadays, COVID19 Testing Management System is one of the most essential tools that are mostly used in Testing Lab; it is mostly used to manage COVID19 medical lab related activities. In this project we tried to develop a computerized and web-based Cloud COVID19 Testing management system. Our main intention is to allow this application to be used in most retailing COVID19 lab, where a small point of customization will be required to each COVID19 lab in the implementation period. This system is designed to overcome all challenges related to the management of diagnostic that were used to be handled locally and manually. The system is an online COVID19 lab manager application that brings up various COVID19 test working online. Using this system, it will help us to records all transaction made at the daily tests; recognize all customers, employees, etc. It will manage all activities around the COVID19 lab that increases productivity and maximize profit, it will also be minimizing the risk of getting loss because all transactions are recorded to the system.
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