Yeong Min Jang

TL;DR: An abnormal voltage regulation detection approach based on machine learning algorithm in a on-Grid photovoltaic (PV) system using the principle component analysis (PCA) technique and the support vector machine to improve the algorithm’s accuracy and reliability (SVM).

TL;DR: This paper introduces the feasible platform based on Wi-Fi and OCC that is emerging technology nowadays that allows smartphone users to control and monitoring data with augmented reality user experience.

TL;DR: This scheme avoids a data decoding procedure that a symbol is demodulated from different images at which there is a high possibility of noise difference exposed by those two images especially in vehicular movement environment and is compatible to both shutter types, global shutter and rolling shutter.

TL;DR: In this article, the authors proposed an efficient interface selection scheme including interface selection algorithms, interface selection procedures considering battery power consumption and user mobility with other existing parameters for overlaying networks, and also proposed a priority based network selection scheme according to the service types.