Micro system technology is a relatively new scientific research that deals with the development and study of properties of materials in micro dimensions. Micro-grippers are widely used in switching, positioning, and assembling micron sized components in micro-robotics. In this study, the static and dynamic behavior of visco-elastic Micro-Tweezers under the thermal and electrostatic field is...

This paper presents an analysis on dynamic performance of a three-area thermal system interconnected with HVDC links when subjected to parametric uncertainties. In this paper all the three areas consists of thermal power plants. The HVDC link is used as a system interconnection between all the three areas. Open transmission access and the evolution of more socialised companies for generation, t...

Nowadays the reliable availability of electricity is expected by both industrial and residential consumers. However, generation, transmission distribution all pose engineering challenges in adapting to consumers sustainable directives while maintaining operational safety. The increasing demand for on consumer side growing number renewable energy sources (RES) generation are supporting spread ca...

The rating of web pages is an important metric that has wide applications, such as web search and malicious page detection. Existing solutions for web page rating rely on either subjective opinions or overall page relationships. In this paper, we present a new solution, SnowEye, to decide the trust rating of web pages with evidence obtained from browsers. The intuition of our approach is that u...

The introduction of participatory rating mechanisms on online sales platforms has had substantial impact on firms’ sales and profits. In this note, we develop a dynamic model of consumer influences on ratings and of rating influences on consumers, focussing on standard five-star mechanisms as implemented bymany platforms. The key components of our social influence model are the consumer trust i...

Collaborative Filtering (CF) is one of the widely used methods for recommendation problem. The key idea is to predict further the interests of a user (ratings) based on the available rating information from many users. Recently, matrix factorization (MF) based approaches, one branch of collaborative filtering, have proven successful for the rating prediction issues. However, most of the state-o...