Underground drainage monitoring system plays an essential role in keeping the cities clean and healthy. Compared to other countries, India consists of the highest number of sewage workers. Exposure of sewage workers to poisonous gases like hydrogen sulphide, sulphur dioxide, carbon monoxide, methane, ammonia, and nitrogen oxide increases the sewage workers death. The main aim of this project is to design a network system that helps in monitoring poisonous gases present in sewage. Whenever the gas level crosses the threshold value, the information with different gas ppm values is displayed on the smart phone through the app. It also indicates whether it is safe for the manual scavengers to work in the environment or not

The deep drawing method is widely used in the metal industry. With this method, metal sheets are formed in the desired form. In this study, a finite element analysis of the deep drawing process of DC02 sheet was made using an angular die. In the study, 15 different die radii were used. 10° die angle was used in all experiments. A blank holder was not used in this study. The effects of different die radii on the forming process were investigated. As a result of the study, it was determined that the most suitable die radius in terms of both equivalent plastic strains (PEEQ) and Mises stress was 8 mm. It was observed that the largest stresses occurred just above the cup radius, and the plastic strain increased as it moved towards mouth region of the cup.

Brain computer interface (BCI) is a system that provides a communication link between the user and their external activities without the help of their peripheral muscles and nerves. This systems efficiency purely depends on the two controllers, who send their commands via EEG and the BCI, which converts the commands into the desired action. This research area is gaining massive attention in recent years by researchers due to its extravagant outputs for physically disabled people. Here this BCI system collects the brain signals or activity from the human brain using various signal collection methodologies and converts those raw signals into meaningful commands that control the external device without their physical help. This ultimate transformation is achieved by multiple transformation techniques through various phases. This paper aims to review the evolution of the BCI; the general framework from which the BCI is developed, the latest translational algorithms, feature selection strategies, artefact removal methods, and finally the paper is concluded by suggesting the readers the area of exploration in efficient BCI development