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2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)最新文献

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Automatic decision making process in a small unmanned airplane 小型无人驾驶飞机的自动决策过程
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2018-11-01 DOI: 10.1109/CINTI.2018.8928207
R. Andoga, M. Schreiner, T. Moravec, L. Fözö, M. Schrötter
{"title":"Automatic decision making process in a small unmanned airplane","authors":"R. Andoga, M. Schreiner, T. Moravec, L. Fözö, M. Schrötter","doi":"10.1109/CINTI.2018.8928207","DOIUrl":"https://doi.org/10.1109/CINTI.2018.8928207","url":null,"abstract":"In order to efficiently control passenger aircraft in general., the control process is usually adapted according to flight situations. A system for selection of a particular flight situation contains complex decision making algorithm using a lot of sensors. The aim of the paper is to present a very simple., yet efficient approach of a basic flight phase classification., which is applicable in small unmanned airplanes., which have a limited computational and sensor capabilities. The flight phase selection system can be then implemented in an intelligent control and flight envelope protection system of such UAV., which are also presented in the paper.","PeriodicalId":409514,"journal":{"name":"2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130131426","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}
引用次数: 4
The influence of prudence and temperance on the credibilistic portfolio optimization 审慎与节制对可信投资组合优化的影响
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2018-11-01 DOI: 10.1109/CINTI.2018.8928244
I. Georgescu, J. Kinnunen
{"title":"The influence of prudence and temperance on the credibilistic portfolio optimization","authors":"I. Georgescu, J. Kinnunen","doi":"10.1109/CINTI.2018.8928244","DOIUrl":"https://doi.org/10.1109/CINTI.2018.8928244","url":null,"abstract":"In this paper is studied the question of finding the optimum proportion in which an agent invests a wealth in a risk-free asset and a credibilistic risky asset. The credibilistic portfolio problem is formulated using the notion of credibilistic expected utility. Different approximate calculation formulas for the optimal allocation of the credibilistic risky asset are formulated depending on the credibilistic moments and risk aversion, prudence and temperance.","PeriodicalId":409514,"journal":{"name":"2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126143634","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}
引用次数: 0
Performance Evaluation of Gaussian Mixture Models for Inertial Sensor-based Gait Biometrics 基于惯性传感器的高斯混合模型的步态生物识别性能评价
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2018-11-01 DOI: 10.1109/CINTI.2018.8928217
Szilárd Nemes, M. Antal
{"title":"Performance Evaluation of Gaussian Mixture Models for Inertial Sensor-based Gait Biometrics","authors":"Szilárd Nemes, M. Antal","doi":"10.1109/CINTI.2018.8928217","DOIUrl":"https://doi.org/10.1109/CINTI.2018.8928217","url":null,"abstract":"Portable sensor-based gait biometrics has been actively researched in recent years. Generative models are rarely examined as part of gait recognition systems and there are several open questions with regards to machine learning approaches in this context. This paper shows that cross-day evaluations and the selection method of impostors influence system performance the most, and non-adapted Gaussian Mixture Models perform slightly better than adapted ones.","PeriodicalId":409514,"journal":{"name":"2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126567187","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}
引用次数: 1
The Role of Drones in Linking Industry 4.0 and ITS Ecosystems 无人机在连接工业4.0和智能交通系统中的作用
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2018-11-01 DOI: 10.1109/CINTI.2018.8928239
Éva Beke, Antal Bódi, T. Katalin, T. Kovács, Dora Maros, L. Gáspár
{"title":"The Role of Drones in Linking Industry 4.0 and ITS Ecosystems","authors":"Éva Beke, Antal Bódi, T. Katalin, T. Kovács, Dora Maros, L. Gáspár","doi":"10.1109/CINTI.2018.8928239","DOIUrl":"https://doi.org/10.1109/CINTI.2018.8928239","url":null,"abstract":"The inevitable digitization of transport as a whole - the proliferation of interlinked intelligent transport systems (ITS) - has important, future-oriented challenges and opportunities. Based on the widely used info communication technologies and IoT sensors, a unique digital ITS ecosystem will be created to optimize modes of transport, improve cost efficiency, reduce environmental burden, improve road safety, and provide information, predictability and comfort for both society and individuals. The digitization of traffic and the collection of tracking systems require the creation of specific legal background and regulation. These human aspects and challenges are discussed within a virtual model framework. Companies introducing Industry 4.0 have to meet different criteria and expectations, requiring further development, refinement, or, in addition to other practical aspects, requiring a totally new technical development. Drivers and UAVs are likely to be able to provide a new logistics segment for Industry 4.0 companies, and they will be the forerunners of fully digitized transport, implementing the ITS ecosystem.","PeriodicalId":409514,"journal":{"name":"2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659943","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}
引用次数: 5
Modeling of driver steering behavior for the control design of automated vehicles 面向自动驾驶汽车控制设计的驾驶员转向行为建模
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2018-11-01 DOI: 10.1109/CINTI.2018.8928231
B. Németh, Gergely Sántha, P. Gáspár
{"title":"Modeling of driver steering behavior for the control design of automated vehicles","authors":"B. Németh, Gergely Sántha, P. Gáspár","doi":"10.1109/CINTI.2018.8928231","DOIUrl":"https://doi.org/10.1109/CINTI.2018.8928231","url":null,"abstract":"The paper proposes the modeling of driver behavior, which is linked to the steering of the vehicle. One of the motivations of the research concerns automated vehicle control. During cornering maneuvers the autonomous vehicle must approximate the steering style of the driver, because it guarantees the comfort of the passengers and provides predictability for the drivers of conventional vehicles and pedestrians. Therefore, the paper proposes the modeling and steering control design of driver behaviour, which is convenient for automated vehicle control. Moreover, the formulated driver model is verified through measurement on a test vehicle, comparing the real steering style and the results of the model. Finally, high-fidelity simulation scenarios show that the proposed method approximates the steering behavior of the driver accurately.","PeriodicalId":409514,"journal":{"name":"2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132666629","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}
引用次数: 0
Flexible Neural Tree Based Identification of the Top Dead Center from Large Gas Engine Vibration Signals 基于柔性神经树的大型燃气发动机振动信号上死点识别
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2018-11-01 DOI: 10.1109/CINTI.2018.8928219
J. Z. Szabó, P. Bakucz
{"title":"Flexible Neural Tree Based Identification of the Top Dead Center from Large Gas Engine Vibration Signals","authors":"J. Z. Szabó, P. Bakucz","doi":"10.1109/CINTI.2018.8928219","DOIUrl":"https://doi.org/10.1109/CINTI.2018.8928219","url":null,"abstract":"The handling of structure-borne sound (vibration) sensors is simple compared to combustion chamber pressure sensors, and the transducers can be manufactured in a very robust form. For this reason, the Department of Mechatronics at Óbuda University, Hungary has developed a novel method (algorithm) that leads to an identification of the Top dead center (TDC) from large gas engine structure borne sound vibration signals and allows a very trivial adaptation to different engine types. In this paper, we investigate how the seemingly chaotic behavior of vibration signals could be well represented using Flexible Neural Tree (FNT) technique. Since the TDC is determined by FNT in the working cycle, it could be described how to calculate the engine rotational speed directly from structure-borne sound signals, thus also without pickup. (Clock recovery).","PeriodicalId":409514,"journal":{"name":"2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133556050","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}
引用次数: 0
Multimodel state estimation in road traffic using constrained filtering 基于约束滤波的道路交通多模型状态估计
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2018-11-01 DOI: 10.1109/CINTI.2018.8928200
Olivér Törő, Tamás Bécsi, S. Aradi, Ádám Vellai
{"title":"Multimodel state estimation in road traffic using constrained filtering","authors":"Olivér Törő, Tamás Bécsi, S. Aradi, Ádám Vellai","doi":"10.1109/CINTI.2018.8928200","DOIUrl":"https://doi.org/10.1109/CINTI.2018.8928200","url":null,"abstract":"The paper presents multimodel state estimation with constrained filtering applicable in a road traffic situation. The state to be estimated describes the motion of a car observed from the ego-vehicle. Multiple motion modes of the target vehicle are predefined and each is associated with a suitable constraining method. Both Kalman and particle filters are used to perform the estimations. The constrained filters are implemented in the Interacting Multiple Model structure. The outputs are the actual state of the observed vehicle and the motion mode that is in effect at every moment with an associated likelihood value. The performance of the proposed method is evaluated in a simulated environment.","PeriodicalId":409514,"journal":{"name":"2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132838798","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}
引用次数: 1
Reconstruction of a heat transfer coefficients by using FWA approach 用FWA法重建换热系数
2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI) Pub Date : 2018-10-12 DOI: 10.1109/CINTI.2018.8928227
Z. Fried, S. Szénási, I. Felde
{"title":"Reconstruction of a heat transfer coefficients by using FWA approach","authors":"Z. Fried, S. Szénási, I. Felde","doi":"10.1109/CINTI.2018.8928227","DOIUrl":"https://doi.org/10.1109/CINTI.2018.8928227","url":null,"abstract":"A parallelized numerical method based on Fireworks Algorithm (FWA) has been developed to solve the Inverse Heat Transfer Problem. The Heat Transfer Coefficient functions obtained on the surfaces of an axisymmetric workpiece as a function of time are estimated by applying the novel technique. The objective function to be minimized by the FWA approach is defined by the deviation of a virtually acquired and the calculated temperatures. Numerical results have been demonstrated in 3 case studies.","PeriodicalId":409514,"journal":{"name":"2018 IEEE 18th International Symposium on Computational Intelligence and Informatics (CINTI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114941091","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}
引用次数: 2
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