{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,31]],"date-time":"2025-08-31T10:19:18Z","timestamp":1756635558079,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031262807"},{"type":"electronic","value":"9783031262814"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-26281-4_44","type":"book-chapter","created":{"date-parts":[[2023,2,11]],"date-time":"2023-02-11T06:47:02Z","timestamp":1676098022000},"page":"423-431","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["FBCF: A Fuzzy-Based Brake-Assisting Control Function for\u00a0Rail Vehicles Using Type-1 and\u00a0Type-2 Fuzzy Inference Models"],"prefix":"10.1007","author":[{"given":"Mitsuki","family":"Tsuneyoshi","sequence":"first","affiliation":[]},{"given":"Makoto","family":"Ikeda","sequence":"additional","affiliation":[]},{"given":"Leonard","family":"Barolli","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,2,12]]},"reference":[{"key":"44_CR1","doi-asserted-by":"crossref","unstructured":"Asprilla, A.M., Martinez, W.H., Munoz, L.E., Cortes, C.A.: Design of an embedded hardware for motor control of a high performance electric vehicle. In: Proceedings of the IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA-2017), pp. 1\u20135 (2017)","DOI":"10.1109\/PEPQA.2017.7981680"},{"key":"44_CR2","doi-asserted-by":"crossref","unstructured":"Balan, K., Manuel, M.P., Faied, M., Krishnan, M., Santora, M.: A fuzzy based accessibility model for disaster environment. In: Proceedings of the IEEE International Conference on Robotics and Automation (ICRA-2019), pp. 2304\u20132310 (2019)","DOI":"10.1109\/ICRA.2019.8793602"},{"key":"44_CR3","doi-asserted-by":"crossref","unstructured":"Cena, G., Cibrario Bertolotti, I., Hu, T., Valenzano, A.: On a software-defined CAN controller for embedded systems. Comput. Stan. Interfaces 63, 43\u201351 (2019). https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0920548918302101","DOI":"10.1016\/j.csi.2018.11.007"},{"key":"44_CR4","doi-asserted-by":"publisher","first-page":"41874","DOI":"10.1109\/ACCESS.2019.2906245","volume":"7","author":"C Chen","year":"2019","unstructured":"Chen, C., Xu, J., Ji, W., Rong, L., Lin, G.: Sliding mode robust adaptive control of maglev vehicle\u2019s nonlinear suspension system based on flexible track: design and experiment. IEEE Access 7, 41874\u201341884 (2019)","journal-title":"IEEE Access"},{"key":"44_CR5","doi-asserted-by":"crossref","unstructured":"Chimatapu, R., Hagras, H., Kern, M., Owusu, G.: Hybrid deep learning type-2 fuzzy logic systems for explainable AI. In: Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE-2020), pp. 1\u20136 (2020)","DOI":"10.1109\/FUZZ48607.2020.9177817"},{"key":"44_CR6","doi-asserted-by":"crossref","unstructured":"Ghallabi, F., Nashashibi, F., El-Haj-Shhade, G., Mittet, M.A.: LIDAR-based lane marking detection for vehicle positioning in an HD map. In: Proceedings of the 21st International Conference on Intelligent Transportation Systems (ITSC-2018), pp. 2209\u20132214 (2018)","DOI":"10.1109\/ITSC.2018.8569951"},{"key":"44_CR7","unstructured":"Gupta, I., Riordan, D., Sampalli, S.: Cluster-head election using fuzzy logic for wireless sensor networks. In: Proceedings of the 3rd Annual Communication Networks and Services Research Conference (CNSR-2005), pp. 255\u2013260 (2005)"},{"key":"44_CR8","doi-asserted-by":"publisher","DOI":"10.1201\/9781420004892","volume-title":"Handbook of Railway Vehicle Dynamics","author":"S Iwnicki","year":"2006","unstructured":"Iwnicki, S.: Handbook of Railway Vehicle Dynamics. CRC Press, Boca Raton (2006)"},{"issue":"5","key":"44_CR9","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1109\/TFUZZ.2009.2023325","volume":"17","author":"EA Jammeh","year":"2009","unstructured":"Jammeh, E.A., Fleury, M., Wagner, C., Hagras, H., Ghanbari, M.: Interval type-2 fuzzy logic congestion control for video streaming across IP networks. IEEE Trans. Fuzzy Syst. 17(5), 1123\u20131142 (2009)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"3\u20134","key":"44_CR10","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1080\/00423119308969027","volume":"22","author":"K Knothe","year":"1993","unstructured":"Knothe, K., Grassie, S.: Modelling of railway track and vehicle\/track interaction at high frequencies. Veh. Syst. Dyn. 22(3\u20134), 209\u2013262 (1993)","journal-title":"Veh. Syst. Dyn."},{"issue":"4","key":"44_CR11","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1109\/TFUZZ.2004.832526","volume":"12","author":"TS Li","year":"2004","unstructured":"Li, T.S., Chang, S.J., Tong, W.: Fuzzy target tracking control of autonomous mobile robots by using infrared sensors. IEEE Trans. Fuzzy Syst. 12(4), 491\u2013501 (2004)","journal-title":"IEEE Trans. Fuzzy Syst."},{"issue":"10","key":"44_CR12","doi-asserted-by":"publisher","first-page":"10282","DOI":"10.1109\/TPEL.2019.2893491","volume":"34","author":"Z Liu","year":"2019","unstructured":"Liu, Z., Wang, Y., Liu, S., Li, Z., Zhang, H., Zhang, Z.: An approach to suppress low-frequency oscillation by combining extended state observer with model predictive control of emus rectifier. IEEE Trans. Power Electron. 34(10), 10282\u201310297 (2019)","journal-title":"IEEE Trans. Power Electron."},{"key":"44_CR13","doi-asserted-by":"crossref","unstructured":"Mamdani, E.H.: Application of fuzzy algorithms for control of simple dynamic plant. In: Proceedings of the Institution of Electrical Engineers. 12, vol. 121, pp. 1585\u20131588 (Dec 1974)","DOI":"10.1049\/piee.1974.0328"},{"issue":"1","key":"44_CR14","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1109\/TSMCA.2012.2204047","volume":"43","author":"K Noori","year":"2013","unstructured":"Noori, K., Jenab, K.: Fuzzy reliability-based traction control model for intelligent transportation systems. IEEE Trans. Syst. Man Cybern.: Syst. 43(1), 229\u2013234 (2013)","journal-title":"IEEE Trans. Syst. Man Cybern.: Syst."},{"key":"44_CR15","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.iot.2018.09.009","volume":"3\u20134","author":"EGM Petrakis","year":"2018","unstructured":"Petrakis, E.G.M., Sotiriadis, S., Soultanopoulos, T., Renta, P.T., Buyya, R., Bessis, N.: Internet of things as a service (iTaaS): challenges and solutions for management of sensor data on the cloud and the fog. Internet Things 3\u20134, 156\u2013174 (2018)","journal-title":"Internet Things"},{"issue":"12","key":"44_CR16","doi-asserted-by":"publisher","first-page":"6510","DOI":"10.1109\/TII.2019.2914158","volume":"15","author":"J Ruan","year":"2019","unstructured":"Ruan, J., Jiang, H., Li, X., Shi, Y., Chan, F.T.S., Rao, W.: A granular GA-SVM predictor for big data in agricultural cyber-physical systems. IEEE Trans. Ind. Inf. 15(12), 6510\u20136521 (2019)","journal-title":"IEEE Trans. Ind. Inf."},{"key":"44_CR17","doi-asserted-by":"crossref","unstructured":"Sekine, S., Nishimura, M.: Application of fuzzy neural network control to automatic train operation. In: Proceedings of 1995 IEEE International Conference on Fuzzy Systems. vol.\u00a05, pp. 39\u201340 (1995)","DOI":"10.1109\/FUZZY.1995.410032"},{"key":"44_CR18","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1038\/nature24270","volume":"550","author":"D Silver","year":"2017","unstructured":"Silver, D., et al.: Mastering the game of Go without human knowledge. Nature 550, 354\u2013359 (2017)","journal-title":"Nature"},{"issue":"3","key":"44_CR19","doi-asserted-by":"publisher","first-page":"1739","DOI":"10.1109\/TII.2012.2231085","volume":"9","author":"X Su","year":"2013","unstructured":"Su, X., Wu, L., Shi, P.: Sensor networks with random link failures: distributed filtering for T-S fuzzy systems. IEEE Trans. Ind. Inf. 9(3), 1739\u20131750 (2013)","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"11","key":"44_CR20","doi-asserted-by":"publisher","first-page":"8589","DOI":"10.1109\/TIE.2019.2891409","volume":"66","author":"Y Sun","year":"2019","unstructured":"Sun, Y., Xu, J., Qiang, H., Lin, G.: Adaptive neural-fuzzy robust position control scheme for maglev train systems with experimental verification. IEEE Trans. Ind. Electron. 66(11), 8589\u20138599 (2019)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"1","key":"44_CR21","doi-asserted-by":"publisher","first-page":"116","DOI":"10.1109\/TSMC.1985.6313399","volume":"15","author":"T Takagi","year":"1985","unstructured":"Takagi, T., Sugeno, M.: Fuzzy identification of systems and its applications to modeling and control. IEEE Trans. Syst. Man Cybern. SMC 15(1), 116\u2013132 (1985)","journal-title":"IEEE Trans. Syst. Man Cybern. SMC"},{"key":"44_CR22","doi-asserted-by":"crossref","unstructured":"Tsuneyoshi, M., Ikeda, M., Barolli, L.: A brake assisting function for railway vehicles using fuzzy logic: A comparison study for different fuzzy inference types. In: Proceedings of the 17th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA-2022). pp. 301\u2013311 (Oct 2022)","DOI":"10.1007\/978-3-031-20029-8_29"},{"key":"44_CR23","doi-asserted-by":"crossref","unstructured":"Wehner, P., Schwiegelshohn, F., Gohringer, D., Hubner, M.: Development of driver assistance systems using virtual hardware-in-the-loop. In: Proceedings of the International Symposium on Integrated Circuits (ISIC-2014). pp. 380\u2013383 (Dec 2014)","DOI":"10.1109\/ISICIR.2014.7029542"},{"key":"44_CR24","doi-asserted-by":"crossref","unstructured":"Yazdani, S., Montazeri-Gh, M.: A novel gas turbine fault detection and identification strategy based on hybrid dimensionality reduction and uncertain rule-based fuzzy logic. Computers in Industry 115 (2020), https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0166361519303811","DOI":"10.1016\/j.compind.2019.103131"},{"key":"44_CR25","doi-asserted-by":"crossref","unstructured":"Zadeh, L.: Fuzzy logic, neural networks, and soft computing. ACM Communications pp. 77\u201384 (1994)","DOI":"10.1145\/175247.175255"},{"issue":"11","key":"44_CR26","doi-asserted-by":"publisher","first-page":"1349","DOI":"10.1080\/00423110802621561","volume":"47","author":"W Zhai","year":"2009","unstructured":"Zhai, W., Wang, K., Cai, C.: Fundamentals of vehicle-track coupled dynamics. Veh. Syst. Dyn. 47(11), 1349\u20131376 (2009)","journal-title":"Veh. Syst. Dyn."}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances in Internet, Data &amp; Web Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-26281-4_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,14]],"date-time":"2024-10-14T00:01:09Z","timestamp":1728864069000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-26281-4_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031262807","9783031262814"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-26281-4_44","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"12 February 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EIDWT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Emerging Internetworking, Data & Web Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Semarang","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Indonesia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 February 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 February 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eidwt2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/eidwt\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}