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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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2012
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| 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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| _version_ | 1834498363321483264 |
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| author | R., ABDUBRANI S. S. N., ALHADY |
| author_facet | R., ABDUBRANI S. S. N., ALHADY |
| author_sort | R., ABDUBRANI |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.usm.eprints.25871 |
| institution | Universiti Sains Malaysia |
| language | en |
| publishDate | 2012 |
| record_format | eprints |
| 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) |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering R., ABDUBRANI S. S. N., ALHADY Performance Improvement Of Contactless Distance Sensors Using Neural Network |
| title | 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_short | Performance Improvement Of Contactless Distance Sensors Using Neural Network |
| title_sort | performance improvement of contactless distance sensors using neural network |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/25871/1/Performance_Improvement_Of_Contactless_Distance_Sensors_Using_Neural_Network.pdf http://eprints.usm.my/25871/ |
| url_provider | http://eprints.usm.my/ |