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Upadhyay Anand Trilokinath
AMET University

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Enhanced Automaton Monitoring Method on Satellite Receiving Position Upadhyay Anand Trilokinath; Santhosh Kumar Singh
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp289-293

Abstract

Security is an essential need of system and it is one of center innovation of remote controlled system. Robot checking arrangement of sea remote detecting satellite getting station incorporates robot, distributed computing system and remote terminals. Robot procures continuous picture of controlled system and works it; distributed computing system fabricate visual choice subsystem to recognize the objective utilizing wavelet change calculation, neural system calculation and learning database of components video of particular natural; utilizing remote terminal manager watches the controlled system through its scene test system and control robot to work it remotely. Utilizing innovation of the pseudo-irregular number secret word, innovation of shared verification to counteract cloning site, innovation of change between the picture of controlled system and its status code and innovation of transformation between operation codes and operation guidelines, the security quality of the robot observing system is enhanced incredibly.
Analysis of BBNs Over Fault Detection and Diagnosis in Industrial Application Upadhyay Anand Trilokinath; Santhosh Kumar Singh
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp68-72

Abstract

In Industrial procedures, to trust the achievement of planned operation, actualising new and exact strategy for perceiving irregular working conditions, known as shortcomings, is essential. A powerful technique for blame location and analysis helps to decrease the effect of these deficiencies, praises the wellbeing of operation, limits downtime and lessens fabricating costs. In this paper, utilisation of BBNs examined for a benchmark synthetic modern process, known as, Tennessee Eastman keeping in mind the end goal to accomplish prime blame location and specific likely finding of their causes. Use of Bayesian conviction systems for blame location and conclusion of Tennessee Eastman prepare in the graphical setting depiction has not been tried yet. The accomplishment of this component affirms capacity and straightforwardness utilisation of it as an asymptomatic framework in specific current procedures.
Co-Authors Santhosh Kumar Singh Santhosh Kumar Singh