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The paper proposes a new approach for detecting alive human beings in devastating environments using a low cost autonomous robot. The proposed alive human body detection system uses a specific set of sensors that gives information about the presence of an alive human body and a low quality camera to acquire a video of scene of the environment. Having detected an obstacle or alive human body, the set of sensors trigger the camera to show live scene. The video is then displayed on a PC or a laptop at base station and processed at MATLAB for further analysis. The alive human detection system proposed in this paper is highly reliable as it is using a set of sensors for detection. The data and information required to be acquired and processed for rescue operation are less. So, it is very cost effective and faster to be applied in real-time operating environment.
This paper proposes a unique standalone hybrid power generation system, applying advanced power control techniques(APC), fed by four power sources: wind power, solar power, storage battery, and fuel cell, and which is not connected to a commercial power system One of the primary needs for socio-economic development in any nation in the world is the provision of reliable electricity supply systems. This work is a development of an indigenous technology hybrid Solar –Wind and fuel cell Power system that harnesses the renewable energies in Solar- Wind and fuel cell to generate electricity. Here, electric DC energies produced from photovoltaic and wind turbine systems are transported to a DC disconnect energy Mix controller. The controller is bidirectional connected to a DC-AC float charging-inverter system that provides charging current to a heavy duty storage bank of Battery and at the same time produces inverted AC power to AC loads. This paper focuses on the modeling and simulation
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Digital surface Models (DSMs) contain information about topographic surfaces and also about other objects higher than the surrounding topographic surface such as buildings, trees etc. therefore, they are ideal for analyzing urban landscape. In this research DSMs of Bhopal city are made from Cartosat 1 stereo data. Three DSMs are made using three different techniques such as adaptive ATE, traditional ATE available through Leica Photogrammetric Suite (LPS) and automated terrain extraction available through Orthoengine. The paper compares the steps of DSM extraction and concluded that process of DSM generation comprised of image orientation and image matching. The output DSMs are compared in context of identifying urban features. It was found that DSM generated through traditional ATE and Orthoengine are more reliable compared to DSM generated through adaptive ATE. This is because; object filter within adaptive ATE modifies the elevation value resulting error in object heights.