Pub Date : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932749
Onur Çelebi, Cem Ergin, Ayça Badem, Fulya Akdeniz, Y. Becerikli
Plants are an important factor in conservation the ecological balance. There are thousands of plant species in the world. Due to the diversity of plant species, it is very important that plant species can be detected accurately and automatically. In the study, a mobile application developed based on server which automatically detects plant species from leaf images. Flavia and Swedish databases were used in the study. Morphological properties of the leaf and local binary pattern (LBP) algorithm were used as feature extraction method. Firebase platform was used in the study to reduce the load of the mobile device using the application and also to increase the speed of the application. In the classification, support vector machines and k-nearest neighborhood methods were used. The best accuracy in the study has found to be 86% using support vector machine algorithm.
{"title":"Performance Comparison of Support Vector Machine and K-Nearest Neighbor Algorithms in Leaf Recognition System Based on Android Operating System","authors":"Onur Çelebi, Cem Ergin, Ayça Badem, Fulya Akdeniz, Y. Becerikli","doi":"10.1109/ISMSIT.2019.8932749","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932749","url":null,"abstract":"Plants are an important factor in conservation the ecological balance. There are thousands of plant species in the world. Due to the diversity of plant species, it is very important that plant species can be detected accurately and automatically. In the study, a mobile application developed based on server which automatically detects plant species from leaf images. Flavia and Swedish databases were used in the study. Morphological properties of the leaf and local binary pattern (LBP) algorithm were used as feature extraction method. Firebase platform was used in the study to reduce the load of the mobile device using the application and also to increase the speed of the application. In the classification, support vector machines and k-nearest neighborhood methods were used. The best accuracy in the study has found to be 86% using support vector machine algorithm.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134174668","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932723
M. M. Alseed, Neslihan Karabacak, Z. Sari, E. Kaplanoglu
Hippotherapy is the use of horse riding for rehabilitation and therapeutic purpose, which has proven its efficiency in improving upper legs, lower back, trunk, and abdominal muscle strength. This project aims to design a portable system that monitors electrical activity generated by targeted muscles during hippotherapy and robotic hippotherapy sessions to provide therapists with a real-time evaluation. The system consists of two electromyography channels, a 5.0" TFT touch display, a microcontroller, and a boosted rechargeable Li-Po battery, with the appropriate basic electronic elements. The user interface is designed to be simple, easy to use, and it provides two different pieces information, each displayed on a separate page of the screen: The raw EMG signal from each channel as a function of time, and the average muscle activity level from each channel as a single gauge with two indicators.
{"title":"Portable EMG Monitoring System for Hippotherapy","authors":"M. M. Alseed, Neslihan Karabacak, Z. Sari, E. Kaplanoglu","doi":"10.1109/ISMSIT.2019.8932723","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932723","url":null,"abstract":"Hippotherapy is the use of horse riding for rehabilitation and therapeutic purpose, which has proven its efficiency in improving upper legs, lower back, trunk, and abdominal muscle strength. This project aims to design a portable system that monitors electrical activity generated by targeted muscles during hippotherapy and robotic hippotherapy sessions to provide therapists with a real-time evaluation. The system consists of two electromyography channels, a 5.0\" TFT touch display, a microcontroller, and a boosted rechargeable Li-Po battery, with the appropriate basic electronic elements. The user interface is designed to be simple, easy to use, and it provides two different pieces information, each displayed on a separate page of the screen: The raw EMG signal from each channel as a function of time, and the average muscle activity level from each channel as a single gauge with two indicators.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106142","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932936
S. Musah, T. Medeni, Demet Soylu
Innovative technology is known of its crucial role towards cocoa production. Just as other cash crops, cocoa also generates income as well as offers direct or indirect employment to majority of people. Ghana is the second leading producer of cocoa beans in the world and has been earmarked as 2019 world’s fastest growing economy by IMF in its World Economic Outlook. IMF predicts a growth rate of 8.8% for Ghana and 7.5% for Cote D’Ivoire as the second runner up. This research therefore assessed the role of innovative technology in cocoa beans food supply chain.The main objective of this study was to evaluate the contributions made by innovative technology through the application of blockchain technology towards effectiveness of cocoa bean food supply chain. The study also looked into how blockchain technology contributed in addressing common unethical issues in cocoa production. To achieve these objectives, a secondary source of data was analyzed and questionnaire was also administered to various cocoa farmers.Earlier findings from the literature review and other existing academic sources suggested that cocoa bean food supply chain is quite cumbersome and complex. However, it was found that, the application of blockchain technology has increased traceability and transparency in cocoa bean supply chains. The study also revealed that unethical activities in cocoa industry have decreased drastically.The contributions made by the study to the existing body of literature are twofold: (1) it made us understood how innovative technology through blockchain positively affects cocoa production; (2) it also showed how blockchain technology can be incorporated into cocoa bean food supply chains to enhance transparency, traceability and mitigate unethical activities in cocoa production.
{"title":"Assessment of Role of Innovative Technology through Blockchain Technology in Ghana’s Cocoa Beans Food Supply Chains","authors":"S. Musah, T. Medeni, Demet Soylu","doi":"10.1109/ISMSIT.2019.8932936","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932936","url":null,"abstract":"Innovative technology is known of its crucial role towards cocoa production. Just as other cash crops, cocoa also generates income as well as offers direct or indirect employment to majority of people. Ghana is the second leading producer of cocoa beans in the world and has been earmarked as 2019 world’s fastest growing economy by IMF in its World Economic Outlook. IMF predicts a growth rate of 8.8% for Ghana and 7.5% for Cote D’Ivoire as the second runner up. This research therefore assessed the role of innovative technology in cocoa beans food supply chain.The main objective of this study was to evaluate the contributions made by innovative technology through the application of blockchain technology towards effectiveness of cocoa bean food supply chain. The study also looked into how blockchain technology contributed in addressing common unethical issues in cocoa production. To achieve these objectives, a secondary source of data was analyzed and questionnaire was also administered to various cocoa farmers.Earlier findings from the literature review and other existing academic sources suggested that cocoa bean food supply chain is quite cumbersome and complex. However, it was found that, the application of blockchain technology has increased traceability and transparency in cocoa bean supply chains. The study also revealed that unethical activities in cocoa industry have decreased drastically.The contributions made by the study to the existing body of literature are twofold: (1) it made us understood how innovative technology through blockchain positively affects cocoa production; (2) it also showed how blockchain technology can be incorporated into cocoa bean food supply chains to enhance transparency, traceability and mitigate unethical activities in cocoa production.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124672541","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932729
Buse Asena Koca, Burakhan Çubukçu, Uğur Yüzgeç
In recent years, Augmented Reality (AR) applications have been introduced especially in a number of different areas by being used more advanced lenses in the cameras in addition to the processor and image processing capacities of smart phones. Nowadays, from Mobile AR games to entertainment applications, from online shopping to Industry 4.0 solutions, Augmented Reality has become one of the most used technologies. Within the scope of this study, the principle of the fun learning of children in preschool age in Turkey has been discussed. An AR application was developed for preschool children to make their learning more fun. In this AR application, Unity 3D platform and Vuforia SDK Augmented Reality Library were utilized.
{"title":"Augmented Reality Application for Preschool Children with Unity 3D Platform","authors":"Buse Asena Koca, Burakhan Çubukçu, Uğur Yüzgeç","doi":"10.1109/ISMSIT.2019.8932729","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932729","url":null,"abstract":"In recent years, Augmented Reality (AR) applications have been introduced especially in a number of different areas by being used more advanced lenses in the cameras in addition to the processor and image processing capacities of smart phones. Nowadays, from Mobile AR games to entertainment applications, from online shopping to Industry 4.0 solutions, Augmented Reality has become one of the most used technologies. Within the scope of this study, the principle of the fun learning of children in preschool age in Turkey has been discussed. An AR application was developed for preschool children to make their learning more fun. In this AR application, Unity 3D platform and Vuforia SDK Augmented Reality Library were utilized.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124749330","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932905
Cem Bugra Alkan, Z. Işik
RNA-sequencing data is used to measure mRNA levels of genes based on tissue or blood samples. The critical changes in transcriptome can be observed more accurately by using RNA-sequencing data that eventually leads to understanding different behavior of the disease. In this study, different feature selection methods and machine learning algorithms are compared for the accurate classification of cancer types by using RNA-sequencing data from blood samples. In the analysis, seven cancer types were compared with each other and healthy samples. Correlation coefficient and information gain analysis are applied as feature selection methods. The selected genes are provided as the input of Support Vector Machine (SVM), Naïve Bayes (NB), and Random Forest (RF) methods. All machine learning methods were evaluated by applying 10-fold cross-validation. In the experiments, machine learning models achieved higher than 85% accuracy in the discrimination of hepatobiliary, lung, and pancreatic cancer types. When machine learning models are evaluated in terms of accuracy, RF and SVM were more successful than NB in many cases.
{"title":"Characterization of Cancer Types by Applying Machine Learning Methods on Blood RNA-Sequencing Data","authors":"Cem Bugra Alkan, Z. Işik","doi":"10.1109/ISMSIT.2019.8932905","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932905","url":null,"abstract":"RNA-sequencing data is used to measure mRNA levels of genes based on tissue or blood samples. The critical changes in transcriptome can be observed more accurately by using RNA-sequencing data that eventually leads to understanding different behavior of the disease. In this study, different feature selection methods and machine learning algorithms are compared for the accurate classification of cancer types by using RNA-sequencing data from blood samples. In the analysis, seven cancer types were compared with each other and healthy samples. Correlation coefficient and information gain analysis are applied as feature selection methods. The selected genes are provided as the input of Support Vector Machine (SVM), Naïve Bayes (NB), and Random Forest (RF) methods. All machine learning methods were evaluated by applying 10-fold cross-validation. In the experiments, machine learning models achieved higher than 85% accuracy in the discrimination of hepatobiliary, lung, and pancreatic cancer types. When machine learning models are evaluated in terms of accuracy, RF and SVM were more successful than NB in many cases.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125213634","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932767
Ahmet Hıfzı Bacaksız, Eren Esgin
In this study, the need for numerical data which is required for the machine learning techniques is considered. In order to classify a categorical data by multilayer perceptron, which is one of the well-known artificial neural network structure, the content of the data is digitalized. While the numerical equivalent of the data content is created at categorical level, the protection of the information it carries has been an important issue in terms of achieving effective results and has been studied a lot. Here, a binary-defined transformation is applied to the categorical data. Afterwards, a guide vector is implemented to protect the relation at its own business context. The guide vector implicitly conserves positional relation of the corresponding dataset at the categorical level. Hence, a significant dimensional reduction is accomplished in this new dataset obtained after the digitalization of the original dataset. The classification performance of newly extracted features is validated with multilayer perceptron structure and successful results are observed. In this study, the actual data extracted from the enterprise resource planning (ERP) system is used as the main data source. The underlying methods of modeling and data processing are implemented in MATLAB and Python programming languages.
{"title":"Extraction of Numerical data from Categorical Data Set and Artificial Neural Networks","authors":"Ahmet Hıfzı Bacaksız, Eren Esgin","doi":"10.1109/ISMSIT.2019.8932767","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932767","url":null,"abstract":"In this study, the need for numerical data which is required for the machine learning techniques is considered. In order to classify a categorical data by multilayer perceptron, which is one of the well-known artificial neural network structure, the content of the data is digitalized. While the numerical equivalent of the data content is created at categorical level, the protection of the information it carries has been an important issue in terms of achieving effective results and has been studied a lot. Here, a binary-defined transformation is applied to the categorical data. Afterwards, a guide vector is implemented to protect the relation at its own business context. The guide vector implicitly conserves positional relation of the corresponding dataset at the categorical level. Hence, a significant dimensional reduction is accomplished in this new dataset obtained after the digitalization of the original dataset. The classification performance of newly extracted features is validated with multilayer perceptron structure and successful results are observed. In this study, the actual data extracted from the enterprise resource planning (ERP) system is used as the main data source. The underlying methods of modeling and data processing are implemented in MATLAB and Python programming languages.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126324633","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932893
Ersin Alaybeyoğlu
In this work, a comparator operating at 400MHz frequency with a resolution of 10 bits is designed. In order to eliminate the effect of offset voltage in the designed comparator circuit, auto-zero technique is used. The fully differential operational amplifier structure is used in the comparator circuit as it prevents common mode distortion. Clock signals and CMOS structures of switch, latch, inverter and full differential operational amplifier structures of the comparator circuit are given in detail. The performance parameters of the designed circuit are realized in Cadence environment with 0.18µm technology.
{"title":"High Speed Comparator Design for the Implementation of Successive Approximation Register ADC","authors":"Ersin Alaybeyoğlu","doi":"10.1109/ISMSIT.2019.8932893","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932893","url":null,"abstract":"In this work, a comparator operating at 400MHz frequency with a resolution of 10 bits is designed. In order to eliminate the effect of offset voltage in the designed comparator circuit, auto-zero technique is used. The fully differential operational amplifier structure is used in the comparator circuit as it prevents common mode distortion. Clock signals and CMOS structures of switch, latch, inverter and full differential operational amplifier structures of the comparator circuit are given in detail. The performance parameters of the designed circuit are realized in Cadence environment with 0.18µm technology.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130130363","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932792
Kaya Turgut, B. Kaleci
Mobile robots must be able to perceive their semantic location to perform the given tasks in the indoor environment. This problem is defined in the literature as place classification in which robot locations are classified semantically as room, corridor, and doorway. Deep learning techniques have been used for the semantic classification of the 2D laser data acquired by mobile robots. In this paper, a simple deep learning architecture consisting of only fully connected layers is proposed. The proposed architecture accepts 2D laser data without any pre-processing. The Freiburg79 dataset is used to test the proposed method. Since the dataset has data imbalance, the classification accuracy of the door is low in previous studies. The pose rotation was applied to overcome this problem. Intra-class variety was reduced and the classification accuracy of the door class is increased. In addition, the pre-processing and cost-sensitive learning techniques were applied to overcome the negative effects of the data imbalance on the Freiburg79 dataset. The proposed method was trained and tested using Freiburg79 laser data. Moreover, Freiburg52 test data was used to evaluate the success of architecture in different environments.
{"title":"A Deep Learning Architecture for Place Classification in Indoor Environment via 2D Laser Data","authors":"Kaya Turgut, B. Kaleci","doi":"10.1109/ISMSIT.2019.8932792","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932792","url":null,"abstract":"Mobile robots must be able to perceive their semantic location to perform the given tasks in the indoor environment. This problem is defined in the literature as place classification in which robot locations are classified semantically as room, corridor, and doorway. Deep learning techniques have been used for the semantic classification of the 2D laser data acquired by mobile robots. In this paper, a simple deep learning architecture consisting of only fully connected layers is proposed. The proposed architecture accepts 2D laser data without any pre-processing. The Freiburg79 dataset is used to test the proposed method. Since the dataset has data imbalance, the classification accuracy of the door is low in previous studies. The pose rotation was applied to overcome this problem. Intra-class variety was reduced and the classification accuracy of the door class is increased. In addition, the pre-processing and cost-sensitive learning techniques were applied to overcome the negative effects of the data imbalance on the Freiburg79 dataset. The proposed method was trained and tested using Freiburg79 laser data. Moreover, Freiburg52 test data was used to evaluate the success of architecture in different environments.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"96 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129699590","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932937
Meral Kaya, Ahmet Bedri ÖZER, Öğr. Üyesi Soner Kiziloluk
In this study, Farmland Fertility Algorithm, which is one of the meta-heuristic optimization algorithms, has been investigated in detail. Three different approaches and different chaotic maps were used to generate the initial population of the algorithm. The chaotic mapped algorithms were tested with quality test functions and the performance of the algorithm was presented and interpreted through comparative tables and graphs. As a result of the tests, it was observed that the results of the approach of Generating the Whole Population and all dimensions with chaotic maps and the third approach in which the population was produced with one dimensional chaotic maps were generally similar or better with the Farmland Fertility Algorithm. In the second approach, it has been observed that the Farmland Fertility Algorithm, in which the tent (Tent) chaotic map is applied, produces more successful results for almost all dimensions and iterations. In the third approach, successful results were obtained in most of the chaotic map algorithms.
{"title":"Generating Initial Population of Farmland Fertility Algorithm with Chaotic Maps","authors":"Meral Kaya, Ahmet Bedri ÖZER, Öğr. Üyesi Soner Kiziloluk","doi":"10.1109/ISMSIT.2019.8932937","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932937","url":null,"abstract":"In this study, Farmland Fertility Algorithm, which is one of the meta-heuristic optimization algorithms, has been investigated in detail. Three different approaches and different chaotic maps were used to generate the initial population of the algorithm. The chaotic mapped algorithms were tested with quality test functions and the performance of the algorithm was presented and interpreted through comparative tables and graphs. As a result of the tests, it was observed that the results of the approach of Generating the Whole Population and all dimensions with chaotic maps and the third approach in which the population was produced with one dimensional chaotic maps were generally similar or better with the Farmland Fertility Algorithm. In the second approach, it has been observed that the Farmland Fertility Algorithm, in which the tent (Tent) chaotic map is applied, produces more successful results for almost all dimensions and iterations. In the third approach, successful results were obtained in most of the chaotic map algorithms.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128245756","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 : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932733
Serdar Ekinci, B. Hekimoğlu, Erdal Eker, Davut Sevim
In this study, a new design approach using HFPSO algorithm, which is obtained by hybridization of firefly algorithm (FA) with particle swarm optimization (PSO) algorithm is presented for the adjustment of proportional-integral-derivative (PID) controller parameters in a buck converter. Using the proposed approach, it is aimed to improve the stability profile of the relevant system. In order to demonstrate the superiority of the proposed HFPSO-based PID (HFPSO/PID) controller, stability analyzes in time domain and frequency domain, and disturbance suppression analysis were performed comparatively. The results obtained from analyzes showed that the proposed HFPSO/PID controller is more efficient than the whale optimization algorithm (WOA) based PID (WOA/PID) controller and genetic algorithm (GA) based PID (GA/PID) controller to improve the control performance of the buck converter.
{"title":"Hybrid Firefly and Particle Swarm Optimization Algorithm for PID Controller Design of Buck Converter","authors":"Serdar Ekinci, B. Hekimoğlu, Erdal Eker, Davut Sevim","doi":"10.1109/ISMSIT.2019.8932733","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932733","url":null,"abstract":"In this study, a new design approach using HFPSO algorithm, which is obtained by hybridization of firefly algorithm (FA) with particle swarm optimization (PSO) algorithm is presented for the adjustment of proportional-integral-derivative (PID) controller parameters in a buck converter. Using the proposed approach, it is aimed to improve the stability profile of the relevant system. In order to demonstrate the superiority of the proposed HFPSO-based PID (HFPSO/PID) controller, stability analyzes in time domain and frequency domain, and disturbance suppression analysis were performed comparatively. The results obtained from analyzes showed that the proposed HFPSO/PID controller is more efficient than the whale optimization algorithm (WOA) based PID (WOA/PID) controller and genetic algorithm (GA) based PID (GA/PID) controller to improve the control performance of the buck converter.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124583031","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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