{"title":"The implementation of the visitor access control system for the senior citizen based on the LBP face recognition","authors":"Jia-Jing Lin, Shih-Chang Huang","doi":"10.1109/IFUZZY.2017.8311817","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311817","url":null,"abstract":"Many admission control systems require the face recognition processing in real time to guarantee the security. There are many well-known face recognition technologies have been proposed such as the linear discriminant analysis (LDA), discrete cosine transform (DCT), principal component analysis (PCA), and local binary pattern (LBP). In this study, we implemented an LBP-based visitor access control system for the senior citizen. The embedded platform to install the LBP is Raspberry Pi. The OpenCV is adapted as the classifier and the USB camera is used as the input device for capturing the face images. The Eigenvectors of the images in the training set are compared with the input face image for identify a person. The experimental results show that the implemented system can achieve 90% face recognition rate. The implemented system is low-cost and suitable for developing the visitor access control system for the senior citizen.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125098005","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}
Hong Sun, Changzhu Zhang, Guangyong An, Qijun Chen, Chengju Liu
{"title":"Fuzzy-model-based H∞ dynamic output feedback control with feedforward for autonomous vehicle path tracking","authors":"Hong Sun, Changzhu Zhang, Guangyong An, Qijun Chen, Chengju Liu","doi":"10.1109/IFUZZY.2017.8311794","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311794","url":null,"abstract":"In this paper, the problem of H∞ dynamic output feedback control with feedforward is presented for path tracking in autonomous vehicle. To achieve the desired performance during high-speed driving, both the kinematic and dynamic models of the vehicle are considered. Within the fuzzy-model-based framework, an approach to the fuzzy dynamic output feedback controller design is proposed. The desired yaw rate of the vehicle is regarded as the external disturbance of the vehicle lateral dynamics, which are norm-bounded uncertainties and can be approximated by the curvature of the reference path. By adopting the dynamic model in terms of error with respect to centerline of the reference road and Lyapunov stability theory, a sufficient condition to derive the fuzzy H∞ dynamic output feedback controller is developed. Moreover, to further improve the performance of the overall closed-loop system, the feedforward loop is introduced by estimating the desired steering angle under certain vehicle velocity. The effectiveness of the proposed approach is demonstrated by the co-simulation between Matlab/Simulink and Carsim.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128456519","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}
{"title":"An approach to robust fuzzy control for TORA systems with Takagi-Sugeno fuzzy model subject to multiple constraints","authors":"Wen‐Jer Chang, Yann-Horng Lin","doi":"10.1109/IFUZZY.2017.8311785","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311785","url":null,"abstract":"This paper presents a control strategy of Takagi-Sugeno fuzzy model-based for translational oscillations with a proof mass actuator, which is well known as a nonlinear control benchmark problem. The state variance constraints and output variance constraints are employed to suppress the vibration in the system. For the perturbations in the system, the uncertainties are considered and the robust control approach is employed. Additionally, the pole placement constraint has been considered to have better performance. Finally, the stability conditions with multiple constraints can be constructed via Lyapunov theory and controller can be solved by LMI approach.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"330 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124655734","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}
{"title":"An improved template-matching method for real-time detection of abnormal heartbeats","authors":"Chun-Cheng Lin, You-Yu Chen","doi":"10.1109/IFUZZY.2017.8311809","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311809","url":null,"abstract":"This study proposes an improved template-matching method which can automatically update the normal template heartbeats with the change in heart rate, and compare the input heartbeats with the template to detect abnormal heartbeats in real time. If an input heartbeat has a cross-correlation coefficient of less than 0.6 or a mean-square difference larger than 1.0 in comparison with the template, it is identified as abnormal. The study results show that if the normal template is not updated with the heart rate, normal heartbeats may be misjudged as abnormal when exercise changes the heart rate and heartbeat waveforms. The results also demonstrate that the proposed method can accurately identify abnormal heartbeats of ventricular fibrillation (VF) and ventricular tachycardia (VT) using ECG records 426 and 607 from the Malignant Ventricular Arrhythmia Database.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132493339","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}
{"title":"Attribute reduction based on related families of fuzzy covering rough sets","authors":"Tian Yang, Teng Li, Guangming Lang","doi":"10.1109/IFUZZY.2017.8311803","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311803","url":null,"abstract":"Attribute reduction is the most important tool in rough set theory. To extend the application range, many fuzzy rough set models have been proposed, but less effort has been made for attribute reduction. In this paper, we construct a new method based on related family to get attribute reducts for fuzzy β-covering rough sets.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121838675","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}
{"title":"Stabilization analysis for discrete-time fuzzy systems with time-delay via small gain theorem and sum-of-squares approach","authors":"S. Tsai, Feng-Chun Chung, Chih-Yang Jen","doi":"10.1109/ifuzzy.2017.8311810","DOIUrl":"https://doi.org/10.1109/ifuzzy.2017.8311810","url":null,"abstract":"In this paper, the stabilization problem for a class of discrete-time Takagi-Sugeno fuzzy systems with time-delay is explored. Through input-output approach, the T-S fuzzy system with time-delay can be transformed into a feedback interconnection formulation including a forward subsystem with time-delay constant and some norm-bounded feedback subsystem comprising time-varying delay uncertainties. By utilizing the parallel distributed compensation, the fuzzy polynomial controller is designed. In addition, based on scaled small gain theorem and sum-of-squares approach, the stabilization condition for T-S fuzzy systems with time-delay is proposed. Lastly, the Hénon system is illustrated to demonstrate the effectiveness and merit of the proposed results.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"214 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113997700","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}
{"title":"A fuzzy condition monitoring system suitable for machine tool spindle motor considering dynamic speed characteristics","authors":"Shang-Chih lin, Yennun Huang","doi":"10.1109/IFUZZY.2017.8311800","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311800","url":null,"abstract":"This paper presents a fuzzy state monitoring system for a machine tool spindle motor, which includes the statistical characteristics of the dynamic speed. Therefore, we use statistical methods for vibration signal mining, and find the corresponding actual speed value from the spectrum. Then the statistical properties of each machine state are defined from the distribution of significant indexes, and the rules of fuzzy inference system. The experimental results show that the proposed strategy not only effectively identifies the different states of the spindle motor, but also has the adaptability under the frequency conversion.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133676040","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}
Galsanbadam Sainzaya, Fan-Nong Yu, Tung-Lin Hsieh, Chan-Yun Yang
{"title":"LQR control with refined PID to balance rotary inverted pendulum with time-varying uncertainty","authors":"Galsanbadam Sainzaya, Fan-Nong Yu, Tung-Lin Hsieh, Chan-Yun Yang","doi":"10.1109/IFUZZY.2017.8311812","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311812","url":null,"abstract":"Inverted pendulum is a nonlinear dynamical system with a strong implication in studying human balance, developing bipedal robot or rehabilitation. The rotary type of the inverted pendulum showed rather complicated to implement its control and maintain its stability than a linear one. Design and implement the control law of such a complicated system is quite difficult and challenging. The paper thus proposed a policy by using combination of LQR and refined PID control to maintain the inverted balance of the pendulum. Together with a swing up control, the full control of the pendulum was practically implemented, and realized to be more robust to outside interference.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122379110","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}
{"title":"Side robot — a wall climber implements in the autonomous monitor robot","authors":"Ying-Hsiu Chen, Pei-Jun Lee, Yi-Chen Tsai","doi":"10.1109/IFUZZY.2017.8311798","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311798","url":null,"abstract":"This paper designs and fabricates a different monitor vehicle robot, which is combined the several functions of wall climber, route planning, obstacle avoidance and image processing, then controlling all the functions through the Bluetooth by smart device. In order to achieve the wall climber, controlling a powerful motor implements in a intelligent system. Moreover, we design a unique APP through the interface of smart device to develop an autonomous robot accomplishing the purpose of interactive monitor robot—Side Robot. All the above motions are implemented by Microchip App038 board with PIC24FJ64GB002 chip and several useful sensors.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127581705","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}
{"title":"An intelligent mobile information consultation and sharing multi-agent system","authors":"Sheng-Yuan Yang, Fu-Hsien Chen, Kune-Yao Chen, Chun-Liang Hsu","doi":"10.1109/IFUZZY.2017.8311816","DOIUrl":"https://doi.org/10.1109/IFUZZY.2017.8311816","url":null,"abstract":"This paper presents Dr. What-Info II as an upgrade of Dr. What-Info, a prototype master multi-agent system asking what information it is. WIAS-supported universal application interface (UAI) technology is analyzed, designed and researched for different data formats, as a way to construct the network service system APIs of desired information with the support of OpenData@Taiwan/Taipei and domain ontology. This move not only upgrades the quality of mobile information consultation and sharing, but also enhances the correctness, authenticity and integrity of location-based information provision. Dr. What-Info II is experimentally demonstrated as a successful technology integration, and stands as an innovative piece of work in the literature.","PeriodicalId":148453,"journal":{"name":"2017 International Conference on Fuzzy Theory and Its Applications (iFUZZY)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131258491","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}