Abstract | ||
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This paper proposes performance improvement of a magnetic guidance sensor using fuzzy inference system. The magnetic guidance sensor is used in measuring the location of AGV (automated guided vehicle). The magnetic guidance sensor had low positioning accuracy and it is inefficient because it is generally on/off digital type and can measure only N magnetic polarity. To solve those problems, it is improvement of accuracy using by fuzzy inference system, in addition, facilitates in two polarities to measure using by analog magnetic guidance sensor produced directly. For evaluate the improvement of accuracy of proposed method, analog magnetic sensor is necessary to compare it with digital magnetic guidance sensor presently. As a result, the performance of proposed method is more accuracy improvement and analog magnetic guidance sensor is possible to measure in two polarities. |
Year | DOI | Venue |
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2012 | 10.1109/SCIS-ISIS.2012.6505168 | SCIS&ISIS |
Keywords | Field | DocType |
automatic guided vehicles,fuzzy reasoning,magnetic sensors,mobile robots,position control,agv location,automated guided vehicle,fuzzy inference system,magnetic guidance sensor,magnetic north polarity,on-off digital type,positioning accuracy,agv,fuzzy,hall sensor,magnet guidance sensor,positon | Computer vision,Automated guided vehicle,Computer science,Artificial intelligence,Performance improvement,Fuzzy inference system | Conference |
ISSN | ISBN | Citations |
2377-6870 | 978-1-4673-2742-8 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jichul Park | 1 | 0 | 0.34 |
Kyung-Hoon Jung | 2 | 11 | 3.17 |
Jungmin Kim | 3 | 12 | 2.84 |
Sungshin Kim | 4 | 210 | 64.17 |