iosr-JVSP   Volume-7 ~ Issue-5 ~ Sep-Oct 2017

ABSTRACT: Measured fetal heartbeat signals are usually contaminated by the corresponding mother's heartbeat signal and other random noise. Adaptive Noise Cancellation (ANC) is usually employed in extraction of fetal heartbeat signals from signal measurements taken at the mother's abdomen. A variety of algorithms can be utilized in ANC to yield minimal-noise fetal heartbeat signals. An ideal algorithm ought to generate an accurate result in as little time as possible. In this paper, an improved Simulated Annealing (SA) algorithm is utilized in ANC to yield a minimal-noise fetal electrocardiogram signal in MATLAB. A performance analysis between use of the improved SA algorithm and the standard SA algorithm (alongside Genetic, Least Mean Squares (LMS) and Normalized Least Mean Squares (NLMS) algorithms) is done. The improved SA algorithm is found to outperform the other algorithms...........

 

Keywords: Adaptive Noise Cancellation, Genetic Algorithm, Least Mean Squares algorithm, Normalized Least Mean Squares algorithm, Simulated Annealing algorithm..

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ABSTRACT: Indoor environments such as houses, offices, hospitals, mobile robots have to be equipped with a capability to navigate in indoor environments to execute a given task while avoiding obstacles. A number of sensors are used widely in order to navigate while detecting obstacles in indoor environments. However, most of these sensors are too expensive to apply for low-cost service robots. Thus we can use low cost surveillance camera for indoor robot navigation using the visual navigation. This paper gives the state of the art the FPGA and indoor robot navigation concept with the focus on FPGA based moving object tracking. The paper starts with an overview of FPGA base image processing in order to get an idea about FPGA architecture, and followed by an explanation on Moving object tracking algorithm and virtual path claculation. Finally, we concluded FPGA is an ideal choice for implementation of visual navigation for real time moving object tracking algorithms.

 

Keywords: FPGA implementation, Indoor navigation, Moving object tracking algorithm, Virtual path claculation

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[2]. Nguyen Xuan Dao, Bum-Jae You, Sang-Rok Oh, "Visual navigation for indoor mobile robots using a single camera".
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[4]. Rao Sandeep, Natarajan Aranind, Moorthi S.and Selvan M. P.(2012), "Real Time Object Tracking in a video Stream using Field Programmable Gate Array", IEEE, 2012.
[5]. Pandey Monoj , Bprgohain Dorothi, Baruah Gargi (2013), "Real Time Object Tracking : Simulation and Implementation on FPGA Based Soft Processor", ICSSITE, 2013.