Research
Performance Analysis of Building Integrated Photovoltaic Application with Tilt and Azimuth Angle in Bangladesh
This paper analyzes the dependency of power output of the building integrated photovoltaic application in Bangladesh on various tilt and azimuth angle. Again this paper shows the temperature dependency of the output power of the building integrated photovoltaic application in Bangladesh. From the analysis, it is seen that if tilt angle is decremented from 90 deg to 1 deg, the power of proposed arrays is incremented by 7.88% keeping azimuth angle fixed at 0 deg. If azimuth angle is incremented from 0 deg to 180 deg, the power is decremented by 46.72% keeping tilt angle fixed at 21 deg.
FM and Web Based Solution: A Novel Approach to Monitor and Control Home Appliances using Mobile Phone
The capacity of controlling various electrical and electronics devices in a wireless and remote fashion has provided a great convenience to many people in life. Through a wireless distant control system, people can do remote operation without directly accessing the host of home appliances like fan, lamp, TV, washing machines and others. Pocket switch is one of these types of system which we can use to control home appliances smartly from anywhere. The main objective of this work is to make such a system which controls the home appliances remotely using Web service and FM technology from a mobile phone. This paper discusses two methods of controlling home appliances. The first one is web service based where server will generate a command to the controller computer and the second one is FM network based where server will synthesize the SMS in to speech.
Human Face Detection in Color Images with Complex Background using Triangular Approach
Face detection is very important nowadays because of increasing demand of security in society. It has become inseparable part of machine vision, biometric researches, pattern recognition and video surveillance. In this paper, we propose to detect face from image with varying lighting condition and complex background. This method relies on a two step process. First, we detect human skin regions. The detection of facial features from image is on the basis of pixel measurement. This is done by the conversion of RGB image into the YCbCr color space using proposed algorithm in order to observe the human face regions. This operation needs for the change of color image into gray scale image and also the removal of non face object. Then we construct eye and mouth maps in order to work on the triangle relationship between them. The result works well on wide range of facial variation in color, position, scale and orientation with photo collection including both indoors and outdoors.
