Smart Grid Hybrid Generation System

ABSTRACT: This report presents a survey work on Hybrid Generation System (two forms of renewable energy-wind and solar) and on the role of smart grids in addressing the problems associated with integration of renewable resources. One of the most challenging aspects of integrating renewable generation resources (renewable) from an operations standpoint, is dealing with their inherit intermittent generation profile. This includes both the non-dispatchable production, as well as the quick generation ramping rates. Wind parks can ramp from zero megawatts (0MW) to full capacity in a matter of hours. Solar photovoltaic (PV) plants can ramp from full capacity to 0MW and back to full capacity in a matter of minutes when a cloud passes overhea

A FrameWork of Video Based Face Recognition Approach

Abstract-Extracting high level features is an important field in video indexing and retrieving. Identifying the presence of human in video is one of these high level features, which facilitate the understanding of other aspects concerning people or the interactions between people. In this paper we are giving approach for face recognition based on video. Face recognition in videos is a hot topic in computer vision and biometrics over many years. Compared to traditional face analysis, video based face recognition has advantages of more abundant information to improve accuracy and robustness, but also suffers from large scale variations, low quality of facial images, illumination changes, pose variations and occlusions. Related to applications, we divide the existing video based face recognition approaches into two categories: video-image based methods and video-video based methods, which are surveyed and analyzed in this paper