2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)最新文献
Pub Date : 2017-11-01DOI: 10.1109/ACCS-PEIT.2017.8303031
W. Farag, Manal El-Hosary, A. Kamel
In this paper, we introduce three different nacelle yaw controllers that use distinct techniques and study their performances in improving the captured energy by the turbine. The first one is a carefully tuned Proportional-Integral-Differential (PID) controller with its simple design; the second one is a linguistic fuzzy logic controller with its intuitive flexible design; and the third one is a Model-Predictive-Controller (MPC) with its adaptive functionality. The control objective of the developed controllers is to effectively track the wind direction by the yaw motion of the turbine nacelle; and consequently to improve the energy capture. A comparative study and a thorough analysis among the three controllers' performances are carried out using extensive MATLAB/SIMULINK simulations.
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Pub Date : 1900-01-01DOI: 10.1109/accs-peit.2017.8303051
H. Morsi, M. Youssef, G. Sultan
This paper proposes a new design approach for intelligent transportation systems, which uses existing smart techniques in transportation systems and human behavior detections to counter lone wolf threats and driver violations. The design can be attached to vehicles as an intelligent embedded system. In this design, the electroencephalogram analyses techniques are used to detect the irregularity in driver behavior which can be categorized into threatened or violated behavior. In threaten behavior like deliberate run-over accidents, the system will stop the vehicle as soon as possible and inform the security agency to ensure a speed response. In violated behavior like driver drowsiness, the system will alert the driver or inform the responding authorities and stop the vehicle, depending on the level of danger. To minimize the consequences of the vehicle fast stopping, it is proposed to green the next traffic light signs. By applying this system in vehicles a lot of accidents can be avoided, in particular those caused by lonely wolves like deliberate runover accidents or stealing of vehicles.
{"title":"Novel design based Internet of Things to counter lone wolf, part-B: Berlin attack","authors":"H. Morsi, M. Youssef, G. Sultan","doi":"10.1109/accs-peit.2017.8303051","DOIUrl":"https://doi.org/10.1109/accs-peit.2017.8303051","url":null,"abstract":"This paper proposes a new design approach for intelligent transportation systems, which uses existing smart techniques in transportation systems and human behavior detections to counter lone wolf threats and driver violations. The design can be attached to vehicles as an intelligent embedded system. In this design, the electroencephalogram analyses techniques are used to detect the irregularity in driver behavior which can be categorized into threatened or violated behavior. In threaten behavior like deliberate run-over accidents, the system will stop the vehicle as soon as possible and inform the security agency to ensure a speed response. In violated behavior like driver drowsiness, the system will alert the driver or inform the responding authorities and stop the vehicle, depending on the level of danger. To minimize the consequences of the vehicle fast stopping, it is proposed to green the next traffic light signs. By applying this system in vehicles a lot of accidents can be avoided, in particular those caused by lonely wolves like deliberate runover accidents or stealing of vehicles.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133623647","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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