Pub Date : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605079
Ching-Chih Tsai, Chin-Sung Liu, Feng-Chun Tai
This paper proposes an adaptive fuzzy K-Means that uses time and travel as calculation parameters, in order to predicts operating points of medical beds with multi-axial actuators. It is found through the simulation that when a data far from the current result is added, the outcome would has a larger mean shift, thus making the forecast worse than expected. I in order to let the model prediction results be closer to the operator's habits, an adaptive fuzzy K-means algorithm combined with multiple sets of rules are designed with the membership functions of trapezoidal, triangular, Gaussian, and generalized bell. Since the users’ habits change dynamically, this paper makes the fuzzy rules adaptive and strengthens the model through design changes of the fuzzy rules. The numerical result of the adaptive fuzzy K-means algorithm is satisfactory since the use of four different membership functions of trapezoidal, triangular, Gaussian and generalized bell can result in the similar output results after the proper parameter adjustments. Finally, with the Arduino Mega 2560 development board and the commercially available actuator modules, and the Hall sensor signal used as the position feedback, a medical bed with three multi-axial actuators is built and then adopted to verify the applicability of the proposed algorithm.
本文提出了一种以时间和行程为计算参数的自适应模糊k -均值方法，用于多轴致动器病床操作点的预测。通过模拟发现，当加入远离当前结果的数据时，结果会有较大的均值偏移，从而使预测结果比预期的差。为了使模型预测结果更接近操作者的习惯，设计了一种结合多组规则的自适应模糊K-means算法，其隶属函数为梯形、三角形、高斯和广义钟形。由于用户的习惯是动态变化的，本文使模糊规则具有自适应性，并通过模糊规则的设计变化来增强模型。自适应模糊K-means算法采用梯形、三角形、高斯和广义钟形四种不同的隶属函数，经过适当的参数调整，可以得到相似的输出结果，数值结果令人满意。最后，利用Arduino Mega 2560开发板和市售的致动器模块，以霍尔传感器信号作为位置反馈，搭建了一个具有3个多轴致动器的医疗床，并采用该床验证了算法的适用性。
{"title":"Adaptive Fuzzy K-Means for Determining Structural Postures of Medical Beds with Multi- Axial Actuators","authors":"Ching-Chih Tsai, Chin-Sung Liu, Feng-Chun Tai","doi":"10.1109/iFUZZY53132.2021.9605079","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605079","url":null,"abstract":"This paper proposes an adaptive fuzzy K-Means that uses time and travel as calculation parameters, in order to predicts operating points of medical beds with multi-axial actuators. It is found through the simulation that when a data far from the current result is added, the outcome would has a larger mean shift, thus making the forecast worse than expected. I in order to let the model prediction results be closer to the operator's habits, an adaptive fuzzy K-means algorithm combined with multiple sets of rules are designed with the membership functions of trapezoidal, triangular, Gaussian, and generalized bell. Since the users’ habits change dynamically, this paper makes the fuzzy rules adaptive and strengthens the model through design changes of the fuzzy rules. The numerical result of the adaptive fuzzy K-means algorithm is satisfactory since the use of four different membership functions of trapezoidal, triangular, Gaussian and generalized bell can result in the similar output results after the proper parameter adjustments. Finally, with the Arduino Mega 2560 development board and the commercially available actuator modules, and the Hall sensor signal used as the position feedback, a medical bed with three multi-axial actuators is built and then adopted to verify the applicability of the proposed algorithm.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"242 25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116969192","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 : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605088
Chi-Yo Huang, Ying-Ting Kuo, Liang-Chieh Wang, Yi-Hao Hsiao, C. Yang
The Moore’s law has successfully predicted the trend of semiconductor-device shrinkage in the past five decades. As the fabrication techniques' advances, the shrinkage limitations maybe hit in the following decade(s). The Gate-All-Around Field-Effect Transistor (GAA-FET) is an important device which can extend the Moore’s law by overcoming technical deficiencies of the fabrication techniques as well as improve the device performance. From the aspect of patent landscaping, acquiring techniques of GAA-FET is very important for the development and provision of the next generation of technology for logic products. Albeit important, very few works discussed the patent analysis, landscaping, and roadmapping of techniques for GAA-FET. To cross the research gap, this work will propose a novel technology roadmapping framework based on the patent mining techniques as well as algorithms for solving the fuzzy knapsack and the fuzzy competence set expansion problems. At first, related U.S. patents will be retrieved. Then, an algorithm to resolve the Fuzzy Knapsack Problem (FKP) is used to select the most appropriate GAA-FET techniques to design around. After that, an algorithm for the fuzzy competence set expansion is adopted to design a minimum spanning tree (MST). The MST can serve as the basis for developing a technology roadmap for developing GAA-FET techniques for late coming semiconductor foundries. The empirical study derived a patent portfolio consisting of 12 techniques related to the GAA-FET. The derived patent portfolio as well as the MST can serve as the basis for defining design-around strategies and technology roadmaps by fast catching-up semiconductor foundries.
{"title":"Technology Roadmapping for the GAA-FETs Based on the Methods of Patent Mining, Fuzzy Knapsack Problem, and Fuzzy Competence Set Expansion","authors":"Chi-Yo Huang, Ying-Ting Kuo, Liang-Chieh Wang, Yi-Hao Hsiao, C. Yang","doi":"10.1109/iFUZZY53132.2021.9605088","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605088","url":null,"abstract":"The Moore’s law has successfully predicted the trend of semiconductor-device shrinkage in the past five decades. As the fabrication techniques' advances, the shrinkage limitations maybe hit in the following decade(s). The Gate-All-Around Field-Effect Transistor (GAA-FET) is an important device which can extend the Moore’s law by overcoming technical deficiencies of the fabrication techniques as well as improve the device performance. From the aspect of patent landscaping, acquiring techniques of GAA-FET is very important for the development and provision of the next generation of technology for logic products. Albeit important, very few works discussed the patent analysis, landscaping, and roadmapping of techniques for GAA-FET. To cross the research gap, this work will propose a novel technology roadmapping framework based on the patent mining techniques as well as algorithms for solving the fuzzy knapsack and the fuzzy competence set expansion problems. At first, related U.S. patents will be retrieved. Then, an algorithm to resolve the Fuzzy Knapsack Problem (FKP) is used to select the most appropriate GAA-FET techniques to design around. After that, an algorithm for the fuzzy competence set expansion is adopted to design a minimum spanning tree (MST). The MST can serve as the basis for developing a technology roadmap for developing GAA-FET techniques for late coming semiconductor foundries. The empirical study derived a patent portfolio consisting of 12 techniques related to the GAA-FET. The derived patent portfolio as well as the MST can serve as the basis for defining design-around strategies and technology roadmaps by fast catching-up semiconductor foundries.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128794114","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 : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605081
Ta-Wei Huang, Shih-Hao Kuo, Chia-Cheng Wang, H. Chiu
Dual Active (Full) Bridge (DAB), has the advantages of wide voltage operation range, zero voltage switching, and easier bidirectional control. However, the traditional single phase shift (SPS) control has the circulating current problem which will cause high conduction and switching loss, especially under different transfer ratios between input and output operating conditions. Many modulation methods are proposed to solve the aforementioned problem. This paper adopts the dual phase shift (DPS) with a minimum peak current control algorithm to reduce the conduction and switching loss. Eventually, a 10 kW DC-DC converter is implemented with a digital controller and has been evaluated. The output voltage range of this converter is from 400 V to 500 V and input voltage is 750 V. According to the test result, the peak efficiency is up to 97.6% when the output voltage is 500 V, 60% load, moreover, when converter operating at 400 V output voltage and 10% load, the efficiency is 94%.
{"title":"High Power Dual Active Bridge Converter in Wide Voltage Range Application","authors":"Ta-Wei Huang, Shih-Hao Kuo, Chia-Cheng Wang, H. Chiu","doi":"10.1109/iFUZZY53132.2021.9605081","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605081","url":null,"abstract":"Dual Active (Full) Bridge (DAB), has the advantages of wide voltage operation range, zero voltage switching, and easier bidirectional control. However, the traditional single phase shift (SPS) control has the circulating current problem which will cause high conduction and switching loss, especially under different transfer ratios between input and output operating conditions. Many modulation methods are proposed to solve the aforementioned problem. This paper adopts the dual phase shift (DPS) with a minimum peak current control algorithm to reduce the conduction and switching loss. Eventually, a 10 kW DC-DC converter is implemented with a digital controller and has been evaluated. The output voltage range of this converter is from 400 V to 500 V and input voltage is 750 V. According to the test result, the peak efficiency is up to 97.6% when the output voltage is 500 V, 60% load, moreover, when converter operating at 400 V output voltage and 10% load, the efficiency is 94%.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114959101","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 : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605083
Cheng-Ta Chuang, Hung-Shin Lin
This paper proposes an effective corner detection method for skew correction in text images. The idea of corner detection is to build an RGB background mapping function based on similar features of the same region in the background. The RGB background mapping function separates the target area from the image and determines the corner points. Finally, the target area is corrected according to the corner point using perspective transformation. From the experimental results, it is shown that the proposed method can correctly make the corner point detection in the image and produce easy-to-read text images after skew correction.
{"title":"A Effective Algorithm for Skew Correction in Text Images","authors":"Cheng-Ta Chuang, Hung-Shin Lin","doi":"10.1109/iFUZZY53132.2021.9605083","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605083","url":null,"abstract":"This paper proposes an effective corner detection method for skew correction in text images. The idea of corner detection is to build an RGB background mapping function based on similar features of the same region in the background. The RGB background mapping function separates the target area from the image and determines the corner points. Finally, the target area is corrected according to the corner point using perspective transformation. From the experimental results, it is shown that the proposed method can correctly make the corner point detection in the image and produce easy-to-read text images after skew correction.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132061352","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 : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605091
I. Palomares, Hugo Alcaraz-Herrera, Kao-Yi Shen, S. Syed-Abdul, Shwetambara Malwade
Many citizens nowadays cope with busy and dynamic lifestyles. Adopting or maintaining a healthy lifestyle to prevent chronic diseases or mental disorders is a core societal challenge. The current global pandemic has evidenced more than ever before the critical importance of engaging citizens with healthy and tailored activities that they like, as a key driver for safeguarding good health from a preventive vantage point, aligned with the pursuance of SDG 3: "good health and well-being". This is why Recommender Systems for personalized health and well-being have lately become a research trend, particularly for food and physical activity recommendation. This paper presents F-EvoRecSys: an extension of an evolutionary algorithm-driven approach for "healthy bundle" well-being recommendations that incorporates a fuzzy inference engine aimed at improving physical activity recommendations based on users’ exercising habits. An experimental study demonstrates how this can lead to more diversified recommendations. The paper also discusses challenges and future directions for personalized well-being recommender systems under different perspectives.
{"title":"F-EvoRecSys: Fuzzy Inference meets Evolutionary Approach for Personalized Well-being Recommendations","authors":"I. Palomares, Hugo Alcaraz-Herrera, Kao-Yi Shen, S. Syed-Abdul, Shwetambara Malwade","doi":"10.1109/iFUZZY53132.2021.9605091","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605091","url":null,"abstract":"Many citizens nowadays cope with busy and dynamic lifestyles. Adopting or maintaining a healthy lifestyle to prevent chronic diseases or mental disorders is a core societal challenge. The current global pandemic has evidenced more than ever before the critical importance of engaging citizens with healthy and tailored activities that they like, as a key driver for safeguarding good health from a preventive vantage point, aligned with the pursuance of SDG 3: \"good health and well-being\". This is why Recommender Systems for personalized health and well-being have lately become a research trend, particularly for food and physical activity recommendation. This paper presents F-EvoRecSys: an extension of an evolutionary algorithm-driven approach for \"healthy bundle\" well-being recommendations that incorporates a fuzzy inference engine aimed at improving physical activity recommendations based on users’ exercising habits. An experimental study demonstrates how this can lead to more diversified recommendations. The paper also discusses challenges and future directions for personalized well-being recommender systems under different perspectives.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126992993","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 : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605080
Chinchen Chang, Ji-Hwei Horng, Jui-Feng Chang
Information security is a crucial issue in the modern data communication environment. Hiding secret data in multimedia is one of the emerging techniques in this research area. By leveraging the popularity of JPEG image format, we propose a data hiding scheme for JPEG compressed images. Several researches have been proposed to hide secret message in the AC coefficients of JPEG codes. However, they restricted the target of embedding to several predefined values of coefficients in order to preserve the file size or improve visual quality of the stego-image. In this paper, we propose a new data hiding scheme based on an ordered shifting of the AC coefficients. With no restriction imposed on the target value, a large amount of data can be embedded without compromising the imperceptibility and increasing the file size significantly. The proposed scheme is compared with the related works in terms of the hiding capacity, the visual quality, and the increase of file size. Good experimental results are obtained.
{"title":"High-Payload Data Hiding Scheme Based on Ordered Shifting of AC Coefficients for JPEG Images","authors":"Chinchen Chang, Ji-Hwei Horng, Jui-Feng Chang","doi":"10.1109/iFUZZY53132.2021.9605080","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605080","url":null,"abstract":"Information security is a crucial issue in the modern data communication environment. Hiding secret data in multimedia is one of the emerging techniques in this research area. By leveraging the popularity of JPEG image format, we propose a data hiding scheme for JPEG compressed images. Several researches have been proposed to hide secret message in the AC coefficients of JPEG codes. However, they restricted the target of embedding to several predefined values of coefficients in order to preserve the file size or improve visual quality of the stego-image. In this paper, we propose a new data hiding scheme based on an ordered shifting of the AC coefficients. With no restriction imposed on the target value, a large amount of data can be embedded without compromising the imperceptibility and increasing the file size significantly. The proposed scheme is compared with the related works in terms of the hiding capacity, the visual quality, and the increase of file size. Good experimental results are obtained.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122688872","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 : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605092
M. Chung, Chia-Wei Lin
This paper describes the application of mobile robots in the current coronavirus epidemic. Localization is a frequently discussed topic in mobile robotics research. Before a robot can start a task, it must know its current location on a map. The system proposed in this paper scans the obstacles and terrain around the robot by LiDAR to obtain a map of the environment and then uses the image recognition algorithm proposed in this paper to achieve the robot’s location. This system can be applied to frontline medical robots, which can disinfect the environment or deliver medication, especially in the case of the COVID-19 epidemic, to help healthcare workers. The proposed localization algorithm is different from the traditional Adaptive Monte Carlo Localization (AMCL), which uses a 2D LiDAR sensor with image recognition to complete the localization. By using a modified template matching technique, the local map is compared with the known global map to deduce the robot’s position, which is more accurate than AMCL. In this study, an indoor environment is created using Gazebo 3D environment simulation software, and a robot with a 2D LiDAR sensor is used in this environment to conduct the experiment. We designed three scenarios to validate the proposed algorithm, one with simple terrain, the second scene will appear throughout the map with other scenes of similar terrain, and the third with long straight lines. The results show that this method is feasible.
{"title":"Pose Detection of a Mobile Robot Based on LiDAR Data","authors":"M. Chung, Chia-Wei Lin","doi":"10.1109/iFUZZY53132.2021.9605092","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605092","url":null,"abstract":"This paper describes the application of mobile robots in the current coronavirus epidemic. Localization is a frequently discussed topic in mobile robotics research. Before a robot can start a task, it must know its current location on a map. The system proposed in this paper scans the obstacles and terrain around the robot by LiDAR to obtain a map of the environment and then uses the image recognition algorithm proposed in this paper to achieve the robot’s location. This system can be applied to frontline medical robots, which can disinfect the environment or deliver medication, especially in the case of the COVID-19 epidemic, to help healthcare workers. The proposed localization algorithm is different from the traditional Adaptive Monte Carlo Localization (AMCL), which uses a 2D LiDAR sensor with image recognition to complete the localization. By using a modified template matching technique, the local map is compared with the known global map to deduce the robot’s position, which is more accurate than AMCL. In this study, an indoor environment is created using Gazebo 3D environment simulation software, and a robot with a 2D LiDAR sensor is used in this environment to conduct the experiment. We designed three scenarios to validate the proposed algorithm, one with simple terrain, the second scene will appear throughout the map with other scenes of similar terrain, and the third with long straight lines. The results show that this method is feasible.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115318397","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 : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605078
Jo-Wei Lin, Yang Chang, Chih-Hao Chang, L. Ko
The state-of-the-art treatment for ADHD is medication and behavioral training. Medication can improve the symptoms of patients. However, due to the long-term effects and some side effects, it may cause doubts and worries for parents. For school-age children, The non-drug behavioral training method is the first-line treatment, and only school-age children will start to use drug therapy. We applied EEG data collected from hospital to transfer learning model as an independent new dataset, and the training data of the model is from a different hospital, in this case, we can fulfill the goal of field verification, and it can help the physicians to apply new data from other hospitals into the model for assistant surveillances.
{"title":"Application of Transfer Learning in Field Verification for Children in Attention Deficit Hyperactivity Disorder","authors":"Jo-Wei Lin, Yang Chang, Chih-Hao Chang, L. Ko","doi":"10.1109/iFUZZY53132.2021.9605078","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605078","url":null,"abstract":"The state-of-the-art treatment for ADHD is medication and behavioral training. Medication can improve the symptoms of patients. However, due to the long-term effects and some side effects, it may cause doubts and worries for parents. For school-age children, The non-drug behavioral training method is the first-line treatment, and only school-age children will start to use drug therapy. We applied EEG data collected from hospital to transfer learning model as an independent new dataset, and the training data of the model is from a different hospital, in this case, we can fulfill the goal of field verification, and it can help the physicians to apply new data from other hospitals into the model for assistant surveillances.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115697167","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 : 2021-10-05DOI: 10.1109/iFUZZY53132.2021.9605089
P. V. Reddy
Sometimes Artificial Intelligence (AI) has to deal with undecided problems. An undecided problem has no computer solution. The non-monotonic problem is undecided. Fuzzy logic will make undecided into decided. Fuzzy logic with twofold fuzzy set will give conclusion for non-monotonic reasoning. In this paper, Fuzzy non-monotonic reasoning is studied with twofold fold fuzzy membership functions belief and disbelief twofold to made undecided problem in to decidable. Fuzzy certainty factor (FCF) is defined to eliminate conflict between belief and disbelief. Fuzzy truth maintenance system (FTMS) is studied for computation of fuzzy non-monotonic reasoning to make monotonic. Some examples are given for fuzzy non-monotonic reasoning.
{"title":"Fuzzy Truth Maintenance System for Non-Monotonic Reasoning","authors":"P. V. Reddy","doi":"10.1109/iFUZZY53132.2021.9605089","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605089","url":null,"abstract":"Sometimes Artificial Intelligence (AI) has to deal with undecided problems. An undecided problem has no computer solution. The non-monotonic problem is undecided. Fuzzy logic will make undecided into decided. Fuzzy logic with twofold fuzzy set will give conclusion for non-monotonic reasoning. In this paper, Fuzzy non-monotonic reasoning is studied with twofold fold fuzzy membership functions belief and disbelief twofold to made undecided problem in to decidable. Fuzzy certainty factor (FCF) is defined to eliminate conflict between belief and disbelief. Fuzzy truth maintenance system (FTMS) is studied for computation of fuzzy non-monotonic reasoning to make monotonic. Some examples are given for fuzzy non-monotonic reasoning.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129140909","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}
This paper presents a practical Serret-Frenet frame-based path tracking control approach for a powered paraglider (PPG) type unmanned aerial vehicle (UAV) with input constraints. In this paper, two new attempts are achieved from real UAV control points of view. The first attempt is to consider a real control input constraint but not the kinematic model input constraint that is considered in most cases. This paper realizes it by investigating the relationship between the yaw angular velocity in a kinematics model and the steering angle of the real direction bar. The second attempt is to describe the PPG model considering the above relationship by a new type of T-S fuzzy models with a residual term and to propose a new type of fuzzy controllers with a cancellation term for the residual term. By the cancellation via the T-S fuzzy controller, the overall feedback system is reduced to the ordinary T-S fuzzy control system. As a result, we simply apply an LMI-based design framework to the T-S fuzzy model with the residual term. Finally, this paper demonstrates the utility of the proposed approach through flight control simulations for complicated paths.
{"title":"Serret-Frenet Frame-based Path Tracking Stabilization of a Powered Paraglider Type UAV with Input Constraints","authors":"Yutoku Takahashi, Kai-Yi Wong, Motoyasu Tanaka, Kazuo Tanaka","doi":"10.1109/iFUZZY53132.2021.9605085","DOIUrl":"https://doi.org/10.1109/iFUZZY53132.2021.9605085","url":null,"abstract":"This paper presents a practical Serret-Frenet frame-based path tracking control approach for a powered paraglider (PPG) type unmanned aerial vehicle (UAV) with input constraints. In this paper, two new attempts are achieved from real UAV control points of view. The first attempt is to consider a real control input constraint but not the kinematic model input constraint that is considered in most cases. This paper realizes it by investigating the relationship between the yaw angular velocity in a kinematics model and the steering angle of the real direction bar. The second attempt is to describe the PPG model considering the above relationship by a new type of T-S fuzzy models with a residual term and to propose a new type of fuzzy controllers with a cancellation term for the residual term. By the cancellation via the T-S fuzzy controller, the overall feedback system is reduced to the ordinary T-S fuzzy control system. As a result, we simply apply an LMI-based design framework to the T-S fuzzy model with the residual term. Finally, this paper demonstrates the utility of the proposed approach through flight control simulations for complicated paths.","PeriodicalId":442344,"journal":{"name":"2021 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129577293","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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