Pub Date : 2019-01-31DOI: 10.15282/MEKATRONIKA.V1I1.163
H. Kasdirin, Siti Khadijah Ali, M. Tokhi
Firefly algorithm (FA) is a swarm intelligence based algorithm for global optimization and has widely been used in solving problems in many areas. The FA is good at exploring the search space and locating the global optimum, but it always gets trapped at local optimum especially in case of high dimensional problems. In order to overcome such drawbacks of FA, this paper proposes a modified variant of FA, referred to as spread enhancement strategy for firefly algorithm (SE-FA), by devising a nonlinear adaptive spread mechanism for the control parameters of the algorithm. The performance of the proposed algorithm is compared with the original FA and one variant of FA on six benchmark functions. Experimental and statistical results of the approach show better solutions in terms of reliability and convergence speed than the original FA especially in the case of high-dimensional problems. The algorithms are further tested with control of dynamic systems. The systems considered comprise assistive exoskeletons mechanism for upper and lower extremities. The performance results are evaluated in comparison to the original firefly and invasive weed algorithms. It is demonstrated that the proposed approaches are superior over the individual algorithms in terms of efficiency, convergence speed and quality of the optimal solution achieved.
{"title":"Spread enhancement for firefly algorithm with application to control mechanism of exoskeleton system","authors":"H. Kasdirin, Siti Khadijah Ali, M. Tokhi","doi":"10.15282/MEKATRONIKA.V1I1.163","DOIUrl":"https://doi.org/10.15282/MEKATRONIKA.V1I1.163","url":null,"abstract":"Firefly algorithm (FA) is a swarm intelligence based algorithm for global optimization and has widely been used in solving problems in many areas. The FA is good at exploring the search space and locating the global optimum, but it always gets trapped at local optimum especially in case of high dimensional problems. In order to overcome such drawbacks of FA, this paper proposes a modified variant of FA, referred to as spread enhancement strategy for firefly algorithm (SE-FA), by devising a nonlinear adaptive spread mechanism for the control parameters of the algorithm. The performance of the proposed algorithm is compared with the original FA and one variant of FA on six benchmark functions. Experimental and statistical results of the approach show better solutions in terms of reliability and convergence speed than the original FA especially in the case of high-dimensional problems. The algorithms are further tested with control of dynamic systems. The systems considered comprise assistive exoskeletons mechanism for upper and lower extremities. The performance results are evaluated in comparison to the original firefly and invasive weed algorithms. It is demonstrated that the proposed approaches are superior over the individual algorithms in terms of efficiency, convergence speed and quality of the optimal solution achieved.","PeriodicalId":377013,"journal":{"name":"Journal of Intelligent Manufacturing & Mechatronics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114631496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-31DOI: 10.15282/MEKATRONIKA.V1I1.978
N. A. Rashid, Khairul Anwar Bapujee
The nuclear disaster in Fukushima motivated the need for the development of a wireless wide area radiation monitoring network that is capable of measuring and remotely displaying radiation level in the affected zones without the concomitant increase in exposure of radiation to the workers. This paper describes the development of such a system using a commercially available Geiger-Mueller (GM) counter that can be deployed in a radiation-infested area. The GM counter transmits radiation readings at a fixed interval wirelessly to a web interface which is then shared in real time to remote stations. The proposed system employs the Internet of Things (IoT) platform, ThingSpeak, as an interface for sharing the information via the Internet. The system is modular as such that the number of stations can be readily added. The experimental results demonstrate that the proposed monitoring system is feasible for radiation monitoring.
{"title":"Wireless Wide Area Radiation Monitoring Network Using Internet of Things","authors":"N. A. Rashid, Khairul Anwar Bapujee","doi":"10.15282/MEKATRONIKA.V1I1.978","DOIUrl":"https://doi.org/10.15282/MEKATRONIKA.V1I1.978","url":null,"abstract":"The nuclear disaster in Fukushima motivated the need for the development of a wireless wide area radiation monitoring network that is capable of measuring and remotely displaying radiation level in the affected zones without the concomitant increase in exposure of radiation to the workers. This paper describes the development of such a system using a commercially available Geiger-Mueller (GM) counter that can be deployed in a radiation-infested area. The GM counter transmits radiation readings at a fixed interval wirelessly to a web interface which is then shared in real time to remote stations. The proposed system employs the Internet of Things (IoT) platform, ThingSpeak, as an interface for sharing the information via the Internet. The system is modular as such that the number of stations can be readily added. The experimental results demonstrate that the proposed monitoring system is feasible for radiation monitoring.","PeriodicalId":377013,"journal":{"name":"Journal of Intelligent Manufacturing & Mechatronics","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113935710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-31DOI: 10.15282/MEKATRONIKA.V1I1.156
M. V. Suparmaniam, A. Yusoff
High speed milling (HSM) process limited by tool failure and dynamic instabilities due to the influence of relative vibration between tool and workpiece, so called chatter. Chatter vibration literally responsible for lower productivity and poor surface quality. In this project, chatter occurrence during machining was suppressed using spindle speed variation (SSV) method via microphone online detection techniques. The initial experiment begins with constant material removal rate (MRR) where varies depth of cut, feedrate and spindle speed were analyzed using time and frequency domain. Then, based on the result, microcontroller based PID algorithm was tested again in active mode. The result shows magnificient differences in frequnecy.This proves that chatter occurrence during machining can be suppressed using spindle speed variation method with microphone feedback PID controller. This also offers high speed milling usage industries with extra benefits of high productivity and can conserve time and money. Moreover, this method could enable providing high efficiency, accuracy, quality of final workpieces and eliminates semi- finishing process.
{"title":"Suppression of Chatter in High Speed Milling Machine Using Spindle Speed Variation Method with Acoustic Feedback PID Controller","authors":"M. V. Suparmaniam, A. Yusoff","doi":"10.15282/MEKATRONIKA.V1I1.156","DOIUrl":"https://doi.org/10.15282/MEKATRONIKA.V1I1.156","url":null,"abstract":"High speed milling (HSM) process limited by tool failure and dynamic instabilities due to the influence of relative vibration between tool and workpiece, so called chatter. Chatter vibration literally responsible for lower productivity and poor surface quality. In this project, chatter occurrence during machining was suppressed using spindle speed variation (SSV) method via microphone online detection techniques. The initial experiment begins with constant material removal rate (MRR) where varies depth of cut, feedrate and spindle speed were analyzed using time and frequency domain. Then, based on the result, microcontroller based PID algorithm was tested again in active mode. The result shows magnificient differences in frequnecy.This proves that chatter occurrence during machining can be suppressed using spindle speed variation method with microphone feedback PID controller. This also offers high speed milling usage industries with extra benefits of high productivity and can conserve time and money. Moreover, this method could enable providing high efficiency, accuracy, quality of final workpieces and eliminates semi- finishing process.","PeriodicalId":377013,"journal":{"name":"Journal of Intelligent Manufacturing & Mechatronics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125713516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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