Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
Article Fingerprint
ReserarchID
CSTGV6UB97
It is very important for us to rescue from fatal accidents caused by fire. Recently in Bangladesh more than two hundred garment workers have deceased at Tajrin Fashion Industry. In this work we have performed the edge detection for Robot on the eve of edge identification to save the worker while they will be locked at emergency situations where human interaction will be failed. We have trained the system such a way that a Robot can easily learn the situations. We have used Automated Brained Learning (ABL) for Robot to detect the objects. Our work ensures only the edge detection. Sobel operator and masking is used in this process. To accomplish the work RGB color model and other color model such as YMC color model is analyzed to ensure the better result. We have noticed that RGB color model is better for our ABL process. Besides, YMC color model also generate good result while the fire is over smoked.
Md. Rabiul Hasan. 1970. \u201cEDGE Identification during Fire Environment for Robot\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F1): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 101
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision
Authors: Md. Rabiul Hasan (PhD/Dr. count: 0)
View Count (all-time): 249
Total Views (Real + Logic): 25775
Total Downloads (simulated): 11153
Publish Date: 1970 01, Thu
Monthly Totals (Real + Logic):
Neural Networks and Rules-based Systems used to Find Rational and
A Comparative Study of the Effeect of Promotion on Employee
The Problem Managing Bicycling Mobility in Latin American Cities: Ciclovias
Impact of Capillarity-Induced Rising Damp on the Energy Performance of
It is very important for us to rescue from fatal accidents caused by fire. Recently in Bangladesh more than two hundred garment workers have deceased at Tajrin Fashion Industry. In this work we have performed the edge detection for Robot on the eve of edge identification to save the worker while they will be locked at emergency situations where human interaction will be failed. We have trained the system such a way that a Robot can easily learn the situations. We have used Automated Brained Learning (ABL) for Robot to detect the objects. Our work ensures only the edge detection. Sobel operator and masking is used in this process. To accomplish the work RGB color model and other color model such as YMC color model is analyzed to ensure the better result. We have noticed that RGB color model is better for our ABL process. Besides, YMC color model also generate good result while the fire is over smoked.
We are currently updating this article page for a better experience.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.