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Performance Improvement Of Contactless Distance Sensors Using Neural Network

Sensor is used to detect an object and determines the distance between sensor and the object. The distance measured by the sensor is sometimes inaccurate, leading to distance errors. Two types of sensors used in this research project are Sharp GP2D12 and ultrasonic LV-Maxsonar EZ1. The output voltag...

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Main Authors: R., ABDUBRANI, S. S. N., ALHADY
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Online Access:http://eprints.usm.my/25871/1/Performance_Improvement_Of_Contactless_Distance_Sensors_Using_Neural_Network.pdf
http://eprints.usm.my/25871/
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spelling my.usm.eprints.25871 http://eprints.usm.my/25871/ Performance Improvement Of Contactless Distance Sensors Using Neural Network R., ABDUBRANI S. S. N., ALHADY TK1-9971 Electrical engineering. Electronics. Nuclear engineering Sensor is used to detect an object and determines the distance between sensor and the object. The distance measured by the sensor is sometimes inaccurate, leading to distance errors. Two types of sensors used in this research project are Sharp GP2D12 and ultrasonic LV-Maxsonar EZ1. The output voltage will change based on the distance between the sensor and the object. The sensor’s performance is measured by comparing the actual value with sensor’s measurement value. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/25871/1/Performance_Improvement_Of_Contactless_Distance_Sensors_Using_Neural_Network.pdf R., ABDUBRANI and S. S. N., ALHADY (2012) Performance Improvement Of Contactless Distance Sensors Using Neural Network. In: 12th WSEAS International Conference on Robotics, Control & Manufacturing Technology, April 18 - 20, 2012, Rovaniemi, Finland . (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
R., ABDUBRANI
S. S. N., ALHADY
Performance Improvement Of Contactless Distance Sensors Using Neural Network
description Sensor is used to detect an object and determines the distance between sensor and the object. The distance measured by the sensor is sometimes inaccurate, leading to distance errors. Two types of sensors used in this research project are Sharp GP2D12 and ultrasonic LV-Maxsonar EZ1. The output voltage will change based on the distance between the sensor and the object. The sensor’s performance is measured by comparing the actual value with sensor’s measurement value.
format Conference or Workshop Item
author R., ABDUBRANI
S. S. N., ALHADY
author_facet R., ABDUBRANI
S. S. N., ALHADY
author_sort R., ABDUBRANI
title Performance Improvement Of Contactless Distance Sensors Using Neural Network
title_short Performance Improvement Of Contactless Distance Sensors Using Neural Network
title_full Performance Improvement Of Contactless Distance Sensors Using Neural Network
title_fullStr Performance Improvement Of Contactless Distance Sensors Using Neural Network
title_full_unstemmed Performance Improvement Of Contactless Distance Sensors Using Neural Network
title_sort performance improvement of contactless distance sensors using neural network
publishDate 2012
url http://eprints.usm.my/25871/1/Performance_Improvement_Of_Contactless_Distance_Sensors_Using_Neural_Network.pdf
http://eprints.usm.my/25871/
_version_ 1643705971579551744
score 13.211869

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