Transmission Line Fault Monitoring and Identification System by Using Internet of Things

The fault location detection has been a goal of power system engineers, since the creation of distribution and transmission systems. Quick fault detection can help protect the equipment by allowing the disconnection of faulted lines before any significant damage of the equipment. The accurate fault location can help utility personnel remove persistent of the faults and locate the areas where the faults regularly occur, thus reducing the occurrence of fault and minimize the time of power outages. As a result, while the fault location detection schemes have been developed in the past, a variety of algorithms continue to be developed to perform this task more accurately and more effectively. The detection and location of faults on power transmission lines is essential to the protection and maintenance of a power system. Most methods of fault detection and location relate to the measurements of electrical quantities provided by current and voltage transformers. These transformers can be expensive and require physical contact with the monitored high voltage equipment

A Secure Recommendation System for Providing Context-Aware Physical Activity Classification for Users

Advances in Wireless Body Area Networks, where embedded accelerometers, gyroscopes, and other sensors empower users to track real-time health data continuously, have made it easier for users to follow a healthier lifestyle. Various other apps have been intended to choose suitable physical exercise, depending on the current healthcare environment. A Mobile Application (Mobile App) based recommendation system is a technology that allows users to select an apt activity that might suit their preferences. However, most of the current applications require constant input from end-users and struggle to include those who have hectic schedules or are not dedicated and self-motivated. This research introduces a methodology that uses a �Selective Cluster Cube� recommender system to intelligently monitor and classify user behavior by collecting accelerometer data and synchronizing with its calendar. We suggest customized daily workouts based on historical user and related user habits, interests, physical status, and accessibility. Simultaneously, the exposure of customer requirements to the server is also a significant concern. Developing privacy-preserving protocols with basic cryptographic techniques (e.g., protected multi-party computing or HE) is a standard solution to address privacy issues, but in combination with state-of-the-art advising frameworks, it frequently provides far-reaching solutions. This paper proposes a novel framework, a Privacy Protected Recommendation System (PRIPRO), that employs HE for securing private user data. The PRIPRO model is compared for accuracy and robustness using standard evaluation parameters against three datasets

Durability studies in alkaline activated systems (metakaolin – bottom ash): A prospective study

This paper presents an experimental investigation on the durability properties of metakaolin (MK) and bottom ash (BA) blended geopolymer under different environmental exposure. The blended geopolymer concrete (GPC) was prepared with sodium based alkaline activators under ambient curing temperature. The concentration of sodium hydroxide used was 8 M. The ratio of sodium silicate to sodium hydroxide was kept as 2.0. The performance of blended geopolymer concrete was compared with conventional concrete (CC). The test results reveal that blended geopolymer concrete develops a better performance against sulphate and acid resistance. Also, MK-BA GPC shows enhanced performance over the conventional concrete in terms of sorptivity, rapid chloride and water absorption. Resumen: Este artículo presenta una investigación experimental sobre las propiedades de durabilidad del geopolímero mezclado con metacaolín (MK) y cenizas de fondo (BA) bajo diferentes exposiciones ambientales. El hormigón de geopolímero mezclado (GPC) se preparó con activadores alcalinos a base de sodio a temperatura ambiente de curado. La concentración de hidróxido de sodio utilizada fue 8 M. La relación de silicato de sodio a hidróxido de sodio se mantuvo en 2,0. Se comparó el desempeño del concreto geopolímero mezclado con el concreto convencional (CC). Los resultados de las pruebas revelan que el concreto geopolimérico mezclado desarrolla un mejor desempeño frente a la resistencia a los sulfatos y ácidos. Además, MK-BA GPC muestra un rendimiento mejorado sobre el hormigón convencional en términos de sortividad y de rápida absorción de cloruro y agua

Optimization of Coated Friction Drilling Tool for a FML Composite

10.1080/10426914.2020.1832684Materials and Manufacturing Processes363351-36