Publication: Artificial immune algorithm based gravimetric fluid dispensing machine
dc.citedby | 1 | |
dc.contributor.author | Yap D.F.W. | en_US |
dc.contributor.author | Koh S.P. | en_US |
dc.contributor.author | Tiong S.K. | en_US |
dc.contributor.author | Sim E.Y.S. | en_US |
dc.contributor.author | Yaw M.W. | en_US |
dc.contributor.authorid | 22952562500 | en_US |
dc.contributor.authorid | 22951210700 | en_US |
dc.contributor.authorid | 15128307800 | en_US |
dc.contributor.authorid | 26649142100 | en_US |
dc.contributor.authorid | 54584659100 | en_US |
dc.date.accessioned | 2023-12-28T07:05:39Z | |
dc.date.available | 2023-12-28T07:05:39Z | |
dc.date.issued | 2011 | |
dc.description.abstract | One of the most prominent methods used in handling the end process for materials-mixing is by having a dispensing system. An effective dispensing method using Pulse Width Modulation (PWM) at the end of the dispensing sequence with Artificial Immune System (AIS) automatic dispensing parameter fine tuning capability is proposed by optimizing the components of Dispensing Time and Stopping Time Delay to obtain constant and accurate reading from the precision balance scale. Based on the new dispensing sequence, experimental tests had been carried out using different materials with varying viscosities. The results denote that the combination of both PWM and AIS techniques would minimize the error rate for overshooting while exhibiting better accuracy. These are important in order to overcome the limitations of the conventional volumetric dispensing and manual parameter tuning presently applied in the dispensing system used in the coatings industry. � 2011 IEEE. | en_US |
dc.description.nature | Final | en_US |
dc.identifier.ArtNo | 6122140 | |
dc.identifier.doi | 10.1109/HIS.2011.6122140 | |
dc.identifier.epage | 410 | |
dc.identifier.scopus | 2-s2.0-84856718445 | |
dc.identifier.spage | 406 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84856718445&doi=10.1109%2fHIS.2011.6122140&partnerID=40&md5=ca01222a1310ae2cf674fad015193342 | |
dc.identifier.uri | https://irepository.uniten.edu.my/handle/123456789/29563 | |
dc.pagecount | 4 | |
dc.source | Scopus | |
dc.sourcetitle | Proceedings of the 2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011 | |
dc.subject | Affinity Maturation | |
dc.subject | Antibody | |
dc.subject | Blending | |
dc.subject | Gravimetric | |
dc.subject | Mutation | |
dc.subject | Pulse Width Modulation | |
dc.subject | Antibodies | |
dc.subject | Blending | |
dc.subject | Chemical industry | |
dc.subject | Hybrid materials | |
dc.subject | Intelligent systems | |
dc.subject | Materials handling | |
dc.subject | Affinity maturation | |
dc.subject | Artificial immune algorithms | |
dc.subject | Artificial Immune System | |
dc.subject | Coatings industry | |
dc.subject | Dispensing machines | |
dc.subject | Dispensing systems | |
dc.subject | Error rate | |
dc.subject | Experimental test | |
dc.subject | Fine tuning | |
dc.subject | Gravimetric | |
dc.subject | Mutation | |
dc.subject | Parameter-tuning | |
dc.subject | Pulse width | |
dc.subject | Stopping time | |
dc.subject | Pulse width modulation | |
dc.title | Artificial immune algorithm based gravimetric fluid dispensing machine | en_US |
dc.type | Conference Paper | en_US |
dspace.entity.type | Publication |