Pub Date : 2019-10-01DOI: 10.1109/ISMSIT.2019.8932883
Israr Hussain, M. Zohaib, E. Babaei
Presented paper depicts the modeling, simulation of Dc-Dc converter and control of battery charging application with less oscillation during switching of MOSFET. Proposed paper deals with the implementation and design of an actual time maximum power point tracking (MPPT) for (PV) system aimed to increase efficiency of energy conversion. As the photovoltaic system has a non-linear behavior of i-v characteristic curve and because of solar irradiance and temperature changes is directly proportional to the maximum power point. Therefore, to obtain maximum power from Solar array the (P&O) Perturbation and Observation MPPT algorithm is implemented using Buck Boost converter. The charismatic characteristics of PV array at different irradiance and temperature is simulated.
{"title":"Modeling, Simulation of Buck Boost Converter with MPPT and Control of Battery Charging Application","authors":"Israr Hussain, M. Zohaib, E. Babaei","doi":"10.1109/ISMSIT.2019.8932883","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932883","url":null,"abstract":"Presented paper depicts the modeling, simulation of Dc-Dc converter and control of battery charging application with less oscillation during switching of MOSFET. Proposed paper deals with the implementation and design of an actual time maximum power point tracking (MPPT) for (PV) system aimed to increase efficiency of energy conversion. As the photovoltaic system has a non-linear behavior of i-v characteristic curve and because of solar irradiance and temperature changes is directly proportional to the maximum power point. Therefore, to obtain maximum power from Solar array the (P&O) Perturbation and Observation MPPT algorithm is implemented using Buck Boost converter. The charismatic characteristics of PV array at different irradiance and temperature is simulated.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"43 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":"127347991","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.2019.8932817
E. Dandıl, K. K. Çevik
In recent years, especially in industrial automation systems, in order for robots to understand their distances and positions according to the target, close to human vision, computer vision systems are needed. Computer vision close to human vision can only be created using stereo cameras. In this study, a computer vision system is developed using the stereo camera system for measuring object distances. In the study, first of all, for the distance measurement, the distance of the face images obtained from the stereo camera system to the screen is calculated. In measuring the distances of the face images to screen, the disparity maps are first extracted and the face region is detected. Afterwards, the distance measurements are performed on the obtained images in the stereo camera system on account of calculating the shifts between the frames. In the experimental studies, the actual distance values such as 71, 74, 75, 79, 110, 125, and 115 of the face to the screen are measured as 70, 72, 73, 77, 97, 120, 132 cm by proposed system, respectively. When the experimental results are examined, we can say that the proposed computer vision system is successful in distance measurement using stereo camera view.
{"title":"Computer Vision Based Distance Measurement System using Stereo Camera View","authors":"E. Dandıl, K. K. Çevik","doi":"10.1109/ISMSIT.2019.8932817","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932817","url":null,"abstract":"In recent years, especially in industrial automation systems, in order for robots to understand their distances and positions according to the target, close to human vision, computer vision systems are needed. Computer vision close to human vision can only be created using stereo cameras. In this study, a computer vision system is developed using the stereo camera system for measuring object distances. In the study, first of all, for the distance measurement, the distance of the face images obtained from the stereo camera system to the screen is calculated. In measuring the distances of the face images to screen, the disparity maps are first extracted and the face region is detected. Afterwards, the distance measurements are performed on the obtained images in the stereo camera system on account of calculating the shifts between the frames. In the experimental studies, the actual distance values such as 71, 74, 75, 79, 110, 125, and 115 of the face to the screen are measured as 70, 72, 73, 77, 97, 120, 132 cm by proposed system, respectively. When the experimental results are examined, we can say that the proposed computer vision system is successful in distance measurement using stereo camera view.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"23 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":"132109863","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.2019.8932787
Serdar Ekinci, A. Demirören, B. Hekimoğlu, Erdal Eker
In this study, an efficient tuning method based on hybrid whale optimization algorithm with simulated annealing (WOA-SA) for optimum parameters setting of proportional + integral + derivative (PID) controller for magnetic ball suspension system is presented. High quality solutions can be achieved via WOA-SA algorithm with balanced local and global search capabilities. Comparative analyzes were conducted to evaluate the performance of the WOA-SA tuned PID controller designed to increase the stability profile of the system. The original whale optimization algorithm (WOA) and simulated annealing (SA) algorithm were used for performance comparison of the hybrid algorithm. The graphical and numerical results obtained from the convergence curve, transient response analysis and frequency response analysis showed that the proposed WOA-SA tuned system has a more stable structure. The essence and novelty of this study is the successful implementation of the proposed hybrid algorithm-based controller design procedure to the magnetic ball suspension system.
{"title":"Performance Enhancement of Magnetic Ball Suspension System Using Hybrid Whale Optimization Algorithm with Simulated Annealing","authors":"Serdar Ekinci, A. Demirören, B. Hekimoğlu, Erdal Eker","doi":"10.1109/ISMSIT.2019.8932787","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932787","url":null,"abstract":"In this study, an efficient tuning method based on hybrid whale optimization algorithm with simulated annealing (WOA-SA) for optimum parameters setting of proportional + integral + derivative (PID) controller for magnetic ball suspension system is presented. High quality solutions can be achieved via WOA-SA algorithm with balanced local and global search capabilities. Comparative analyzes were conducted to evaluate the performance of the WOA-SA tuned PID controller designed to increase the stability profile of the system. The original whale optimization algorithm (WOA) and simulated annealing (SA) algorithm were used for performance comparison of the hybrid algorithm. The graphical and numerical results obtained from the convergence curve, transient response analysis and frequency response analysis showed that the proposed WOA-SA tuned system has a more stable structure. The essence and novelty of this study is the successful implementation of the proposed hybrid algorithm-based controller design procedure to the magnetic ball suspension system.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"1 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":"133988748","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.2019.8932726
Halil Snopçe, M. Fetaji
Mobile learning or m-learning is the last stage of e-learning development. Todays milenium learners’ cognitive styles, motivation, and skills in using mobile technology greatly influence the success and failures of usable mobile software solutions. This apparently affects their academic achievement. and what functionalities should an m-LMS support. The ecepctancy is that m-learning will no longer be a choice, some compulsive way of learning, in order to stay ahead of others. It does not fall under the category of "15 Minutes of Glory", but it is envisaged to become the dominant learning method for the growing mobile workforce, the new age. The increase in mobile device sales, the rapid growth in mobile web traffic, the growth of the adoption of mobile devices in the workplace, among other factors, have led to the development of the "mobile world" of m-learning. Therefore the research study has analysed all the most important factors influencing m-learning and issues and reccomendations are argumented and presented.
{"title":"M-Learning the Future of Learning, Analysis of its Usage Possibilities","authors":"Halil Snopçe, M. Fetaji","doi":"10.1109/ISMSIT.2019.8932726","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932726","url":null,"abstract":"Mobile learning or m-learning is the last stage of e-learning development. Todays milenium learners’ cognitive styles, motivation, and skills in using mobile technology greatly influence the success and failures of usable mobile software solutions. This apparently affects their academic achievement. and what functionalities should an m-LMS support. The ecepctancy is that m-learning will no longer be a choice, some compulsive way of learning, in order to stay ahead of others. It does not fall under the category of \"15 Minutes of Glory\", but it is envisaged to become the dominant learning method for the growing mobile workforce, the new age. The increase in mobile device sales, the rapid growth in mobile web traffic, the growth of the adoption of mobile devices in the workplace, among other factors, have led to the development of the \"mobile world\" of m-learning. Therefore the research study has analysed all the most important factors influencing m-learning and issues and reccomendations are argumented and presented.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"4 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":"133341703","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.2019.8932909
A. Arslan, Z. Tunç, C. Colak
In this study, it was aimed to develop a new user-friendly web-based software that would easily test single-variable univariate and multivariate normal distribution suitability and enable users to get more accurate results in their studies.Shiny, an open source R package, was used to develop the proposed web software. In the developed software, Shapiro-Wilk and Anderson-Darling tests were used for the uniformity of univariate distribution, and Mardia's skewness-kurtosis, Henze-Zircon and Doornik-Hansen tests were used for multivariate normal distribution. Outputs for conformity to normal distribution were supported by using graphical methods. In practice, for the data set where each variable consisting of two variables derived by simulation has a standard normal distribution and the variables contain 1000 observations, the normal distribution conformity analysis has been performed. In the derived data set, each variable is normally distributed according to the Anderson-Darling and Shapiro-Wilk tests.In addition, the derived data set showed normal distribution with three variables according to Mardia's skewness-kurtosis and Henze-Zirkler tests. However, according to the Doornik-Hansen test, the triple does not show normal distribution.The developed software is a new user-friendly web-based software that can easily perform univariate and multivariate normal distribution conformity analysis and enable users to get more accurate results in their work. In further studies, Type I and Type II error types are planned to be included in the software in order to determine the best method.
{"title":"Open Source Web-Based Software to Evaluate Normal Distribution: Normality Assessment Software","authors":"A. Arslan, Z. Tunç, C. Colak","doi":"10.1109/ISMSIT.2019.8932909","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932909","url":null,"abstract":"In this study, it was aimed to develop a new user-friendly web-based software that would easily test single-variable univariate and multivariate normal distribution suitability and enable users to get more accurate results in their studies.Shiny, an open source R package, was used to develop the proposed web software. In the developed software, Shapiro-Wilk and Anderson-Darling tests were used for the uniformity of univariate distribution, and Mardia's skewness-kurtosis, Henze-Zircon and Doornik-Hansen tests were used for multivariate normal distribution. Outputs for conformity to normal distribution were supported by using graphical methods. In practice, for the data set where each variable consisting of two variables derived by simulation has a standard normal distribution and the variables contain 1000 observations, the normal distribution conformity analysis has been performed. In the derived data set, each variable is normally distributed according to the Anderson-Darling and Shapiro-Wilk tests.In addition, the derived data set showed normal distribution with three variables according to Mardia's skewness-kurtosis and Henze-Zirkler tests. However, according to the Doornik-Hansen test, the triple does not show normal distribution.The developed software is a new user-friendly web-based software that can easily perform univariate and multivariate normal distribution conformity analysis and enable users to get more accurate results in their work. In further studies, Type I and Type II error types are planned to be included in the software in order to determine the best method.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"707 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":"125620207","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.2019.8932873
Durmuş Volkan Özay, M. Yeşil, E. Z. Engin
Along with the development of technology, new problems emerge. One of these problems is the protection of information. Nowadays, many studies about the protection of information are done. Biometric systems are the most important ones among these studies. Biometric systems are, briefly, the systems which decides whether the Access to the system will be restrcted or not using the distinguishing characteristics of people. For example, every person has different fingerprints, and thanks to the fingerprint sensors of out cell phones, computers, and door entrances accessing problem is solved. However, the increase in the number of passwords means the increase in the level of security. This is why, variety in biometric systems provides an increase in the security. Our project is based on nailprints which are another distinguishing characteristics of people Five images were taken for each of the seven different person. Three images were taken to train the program, and two images were taken to test the program. These images were put through a proces of Segmentation, and the features of these images were extracted. A model which is able to compare possible nail images is create using the classification algorithm fort he extracted features.
{"title":"Biometric System Design Based On Nailprint Recognition","authors":"Durmuş Volkan Özay, M. Yeşil, E. Z. Engin","doi":"10.1109/ISMSIT.2019.8932873","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932873","url":null,"abstract":"Along with the development of technology, new problems emerge. One of these problems is the protection of information. Nowadays, many studies about the protection of information are done. Biometric systems are the most important ones among these studies. Biometric systems are, briefly, the systems which decides whether the Access to the system will be restrcted or not using the distinguishing characteristics of people. For example, every person has different fingerprints, and thanks to the fingerprint sensors of out cell phones, computers, and door entrances accessing problem is solved. However, the increase in the number of passwords means the increase in the level of security. This is why, variety in biometric systems provides an increase in the security. Our project is based on nailprints which are another distinguishing characteristics of people Five images were taken for each of the seven different person. Three images were taken to train the program, and two images were taken to test the program. These images were put through a proces of Segmentation, and the features of these images were extracted. A model which is able to compare possible nail images is create using the classification algorithm fort he extracted features.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"34 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":"114435531","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.2019.8932921
Diaeddin Rimawi, Samer Zein
Design patterns in software development have shown great promise in improving software quality. Traditionally, software developers utilize a set of design patterns to foster reusability and better software design. Recently, mobile applications (apps) have become a mainstay of modern computing, as well as, a challenging domain for software engineers. This is because mobile apps now target more critical domains such as health, banking, m-payments, and even military to mention just a few. Android is a very popular mobile platform, and has managed to take over the majority of mobile market. It is true that there are comprehensive studies in the area of design patterns detection in several object-oriented languages such as Java, C# and C++. However, little studies target design patterns in Android apps. As a step toward helping to measure and explore the application of design patterns in Android apps, we introduce PatRoid, an automated framework for detecting design patterns. PatRoid is a model-based approach that is able to detect design patterns laying inside Android apps source code. The model is based on a graph isomorphism approach, where design patterns are divided into sub-patterns that can be aggregated to formulate design patterns. We have conducted a preliminary evaluation and the results show that PatRoid can detect all of the 23 GoF design patterns.
{"title":"A Model Based Approach for Android Design Patterns Detection","authors":"Diaeddin Rimawi, Samer Zein","doi":"10.1109/ISMSIT.2019.8932921","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932921","url":null,"abstract":"Design patterns in software development have shown great promise in improving software quality. Traditionally, software developers utilize a set of design patterns to foster reusability and better software design. Recently, mobile applications (apps) have become a mainstay of modern computing, as well as, a challenging domain for software engineers. This is because mobile apps now target more critical domains such as health, banking, m-payments, and even military to mention just a few. Android is a very popular mobile platform, and has managed to take over the majority of mobile market. It is true that there are comprehensive studies in the area of design patterns detection in several object-oriented languages such as Java, C# and C++. However, little studies target design patterns in Android apps. As a step toward helping to measure and explore the application of design patterns in Android apps, we introduce PatRoid, an automated framework for detecting design patterns. PatRoid is a model-based approach that is able to detect design patterns laying inside Android apps source code. The model is based on a graph isomorphism approach, where design patterns are divided into sub-patterns that can be aggregated to formulate design patterns. We have conducted a preliminary evaluation and the results show that PatRoid can detect all of the 23 GoF design patterns.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"3 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":"115424506","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.2019.8932771
Abdulrahman Albar, M. Swash, S. Ghaffar
Additive manufacturing (AM), popularly known as ‘3D printing’, is a manufacturing technique that builds physical 3D objects layer by layer using materials such as polymers, metals, and cementitious composites. The widespread popularity of additive manufacturing in most industries ranging from biomedical to aerospace suggests a revolution in manufacturing which has recently emerged to the construction sector. Considered as the future of construction, AM is used in 3D concrete printing due to its benefits in reducing the waste and contributing towards circular economy goals through the use of recovered waste materials from demolition sites. This paper presents an active extrusion system for the 3D printing of cementitious materials for the construction industry. The system has been designed from first principles and therefore can be extended to other materials and scaled up with slight hardware modifications. A robust design has been realized using an unconventional yet simplistic approach. The extrusion system uses some additions to the design to generate a consistent output of material throughout a print. The effectiveness of the extruder is demonstrated through an extensive printing and testing of various printed objects.
{"title":"The Design and Development of an Extrusion System for 3D Printing Cementitious Materials","authors":"Abdulrahman Albar, M. Swash, S. Ghaffar","doi":"10.1109/ISMSIT.2019.8932771","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932771","url":null,"abstract":"Additive manufacturing (AM), popularly known as ‘3D printing’, is a manufacturing technique that builds physical 3D objects layer by layer using materials such as polymers, metals, and cementitious composites. The widespread popularity of additive manufacturing in most industries ranging from biomedical to aerospace suggests a revolution in manufacturing which has recently emerged to the construction sector. Considered as the future of construction, AM is used in 3D concrete printing due to its benefits in reducing the waste and contributing towards circular economy goals through the use of recovered waste materials from demolition sites. This paper presents an active extrusion system for the 3D printing of cementitious materials for the construction industry. The system has been designed from first principles and therefore can be extended to other materials and scaled up with slight hardware modifications. A robust design has been realized using an unconventional yet simplistic approach. The extrusion system uses some additions to the design to generate a consistent output of material throughout a print. The effectiveness of the extruder is demonstrated through an extensive printing and testing of various printed objects.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"1 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":"121632863","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.2019.8932761
Hasan Ucuzal, Şeyma Yaşar, C. Colak
Automated machine learning (AutoML) algorithms developed using deep learning algorithms have been the focus of interest in many studies recently. This study aims to develop a free web-based software based on deep learning that can be utilized in the diagnosis and detection of brain tumors (Glioma/Meningioma/Pituitary) on T1-weighted magnetic resonance imaging. The Keras library, which is used in Python programming language, is utilized in the construction of the deep learning algorithm in this software. The experimental results show that this software can be used for the detection and diagnosis of three types of brain tumors. This developed web-based software can be publicly available at http://biostatapps.inonu.edu.tr/BTSY/ in both English and Turkish.
{"title":"Classification of brain tumor types by deep learning with convolutional neural network on magnetic resonance images using a developed web-based interface","authors":"Hasan Ucuzal, Şeyma Yaşar, C. Colak","doi":"10.1109/ISMSIT.2019.8932761","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932761","url":null,"abstract":"Automated machine learning (AutoML) algorithms developed using deep learning algorithms have been the focus of interest in many studies recently. This study aims to develop a free web-based software based on deep learning that can be utilized in the diagnosis and detection of brain tumors (Glioma/Meningioma/Pituitary) on T1-weighted magnetic resonance imaging. The Keras library, which is used in Python programming language, is utilized in the construction of the deep learning algorithm in this software. The experimental results show that this software can be used for the detection and diagnosis of three types of brain tumors. This developed web-based software can be publicly available at http://biostatapps.inonu.edu.tr/BTSY/ in both English and Turkish.","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"114 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":"123361678","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.2019.8932798
N. Allahverdi
Purpose of this work is briefly explaining the techniques of Artificial Intelligence (AI) and to give some examples of applications fuzzy expert systems (FES) in medical areas. These examples include determining of diseases risk such prostate cancer, 10 years behavior for diagnosis and therapy of coronary heart disease, for health status during cardiac surgery, fuzzy control of the air environment of an operating room, for predicting disease severity of the iron anemia, and fuzzy risk of being diabetes type 2. Further, some problems and perspectives of the use of AI in medicine are given
{"title":"Applications of Fuzzy Approach in Medicine. Problems and Perspectives","authors":"N. Allahverdi","doi":"10.1109/ISMSIT.2019.8932798","DOIUrl":"https://doi.org/10.1109/ISMSIT.2019.8932798","url":null,"abstract":"Purpose of this work is briefly explaining the techniques of Artificial Intelligence (AI) and to give some examples of applications fuzzy expert systems (FES) in medical areas. These examples include determining of diseases risk such prostate cancer, 10 years behavior for diagnosis and therapy of coronary heart disease, for health status during cardiac surgery, fuzzy control of the air environment of an operating room, for predicting disease severity of the iron anemia, and fuzzy risk of being diabetes type 2. Further, some problems and perspectives of the use of AI in medicine are given","PeriodicalId":169791,"journal":{"name":"2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)","volume":"13 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":"123637016","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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