发布求助
文献互助 智能选刊 最新文献

2016 22nd International Conference on Automation and Computing (ICAC)最新文献

筛选
英文 中文
Comparative study of Partial Discharge emulators for the calibration of Free-Space radiometric measurements 自由空间辐射测量标定用局部放电仿真器的比较研究
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-24 DOI: 10.1109/IConAC.2016.7604938
A. Jaber, P. Lazaridis, B. Saeed, Yong Zhang, David Khan, D. Upton, H. Ahmed, P. Mather, M. D. F. Q. Turnell, R. Atkinson, M. Judd, I. Glover
{"title":"Comparative study of Partial Discharge emulators for the calibration of Free-Space radiometric measurements","authors":"A. Jaber, P. Lazaridis, B. Saeed, Yong Zhang, David Khan, D. Upton, H. Ahmed, P. Mather, M. D. F. Q. Turnell, R. Atkinson, M. Judd, I. Glover","doi":"10.1109/IConAC.2016.7604938","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604938","url":null,"abstract":"Partial discharge is measured simultaneously using free-space radiometry (FSR) and a galvanic contact measurement technique based on the IEC 60270 standard. Several types of PD (Partial Discharge) sources are specially constructed: two internal PD emulators and an emulator of the floating-electrode type. The excitation applied to the source is AC and the radiated signal is captured using a wideband biconical antenna. The calibration of PD sources is demonstrated. Effective radiated power of the PD source using a PD calibration device is determined.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115788325","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: 6
A novel fault-tolerant control strategy for Near Space Hypersonic Vehicles via Least Squares Support Vector Machine and Backstepping method 基于最小二乘支持向量机和反演的近空间高超声速飞行器容错控制策略
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-24 DOI: 10.1109/IConAC.2016.7604914
Jia Song, Jiaming Lin, Erfu Yang
{"title":"A novel fault-tolerant control strategy for Near Space Hypersonic Vehicles via Least Squares Support Vector Machine and Backstepping method","authors":"Jia Song, Jiaming Lin, Erfu Yang","doi":"10.1109/IConAC.2016.7604914","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604914","url":null,"abstract":"Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122187346","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
An approach to detect crowd panic behavior using flow-based feature 基于流特征的人群恐慌行为检测方法
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-24 DOI: 10.1109/IConAC.2016.7604963
Yuefan Hao, Zhijie Xu, Jing Wang, Y. Liu, Jiu-lun Fan
{"title":"An approach to detect crowd panic behavior using flow-based feature","authors":"Yuefan Hao, Zhijie Xu, Jing Wang, Y. Liu, Jiu-lun Fan","doi":"10.1109/IConAC.2016.7604963","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604963","url":null,"abstract":"With the purpose of achieving automated detection of crowd abnormal behavior in public, this paper discusses the category of typical crowd and individual behaviors and their patterns. Popular image features for abnormal behavior detection are also introduced, including global flow based features such as optical flow, and local spatio-temporal based features such as Spatio-temporal Volume (STV). After reviewing some relative abnormal behavior detection algorithms, a brand-new approach to detect crowd panic behavior has been proposed based on optical flow features in this paper. During the experiments, all panic behaviors are successfully detected. In the end, the future work to improve current approach has been discussed.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130987432","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: 9
Automatic text summarization using fuzzy inference 使用模糊推理的自动文本摘要
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-24 DOI: 10.1109/IConAC.2016.7604928
M. Jafari, Jing Wang, Yongrui Qin, M. Gheisari, Amir Shahab Shahabi, Xiaohui Tao
{"title":"Automatic text summarization using fuzzy inference","authors":"M. Jafari, Jing Wang, Yongrui Qin, M. Gheisari, Amir Shahab Shahabi, Xiaohui Tao","doi":"10.1109/IConAC.2016.7604928","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604928","url":null,"abstract":"Due to the high volume of information and electronic documents on the Web, it is almost impossible for a human to study, research and analyze this volume of text. Summarizing the main idea and the major concept of the context enables the humans to read the summary of a large volume of text quickly and decide whether to further dig into details. Most of the existing summarization approaches have applied probability and statistics based techniques. But these approaches cannot achieve high accuracy. We observe that attention to the concept and the meaning of the context could greatly improve summarization accuracy, and due to the uncertainty that exists in the summarization methods, we simulate human like methods by integrating fuzzy logic with traditional statistical approaches in this study. The results of this study indicate that our approach can deal with uncertainty and achieve better results when compared with existing methods.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122211263","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: 31
An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis 无传感器变速传动中电机参数的故障诊断研究
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-24 DOI: 10.1109/IConAC.2016.7604941
Naima Hamad, Khaldoon F. Brethee, F. Gu, A. Ball
{"title":"An investigation of electrical motor parameters in a sensorless variable speed drive for machine fault diagnosis","authors":"Naima Hamad, Khaldoon F. Brethee, F. Gu, A. Ball","doi":"10.1109/IConAC.2016.7604941","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604941","url":null,"abstract":"Motor current signature analysis (MCSA) is regarded as an effective technique for motor and its downstream equipment fault diagnostics. However, limited work has been carried out for motors based on a sensorless variable speed drive (VSD). This study focuses on investigation of mechanical fault detection and diagnosis using electrical signatures from a VSD system. An analytic analysis was conducted to show that the fault can induce sidebands in instantaneous current, voltage and power signals in the VSD system, rather than just the sideband in a drive without closed loop control. Then different degrees of tooth breakages in an industrial two-stage helical gearbox were experimentally studied. It has found that even though the measured signal is very noisy, common spectrum analysis can discriminate the small sidebands for the fault detection and diagnosis. However, it has found that the power signals resulted from the multiplication of the current and voltage can provide a better diagnostic results.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803282","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: 7
Investigation of reductions in motor efficiency caused by stator faults when operated from an inverter drive 对由逆变器驱动运行时定子故障引起的电机效率降低的研究
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-24 DOI: 10.1109/IConAC.2016.7604909
Mark Lane, Abdulkarim Shaeboub, F. Gu, A. Ball
{"title":"Investigation of reductions in motor efficiency caused by stator faults when operated from an inverter drive","authors":"Mark Lane, Abdulkarim Shaeboub, F. Gu, A. Ball","doi":"10.1109/IConAC.2016.7604909","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604909","url":null,"abstract":"Inverter driven motor systems have seen wider use in industry as energy reduction methods. Studies have been undertaken previously to understand the effects of voltage imbalances on motor efficiency and deratings. However, this has not been covered in much detail on inverter-driven motor systems. This paper aims to study the effect that motor stator resistance imbalances have on motor efficiency when used on inverter-driven systems. Motor imbalances may remain undetected by the inverter drive and can result in overheating and premature failure of the motor. Motor efficiency monitoring is now of greater interest due to new IEC standards defining new AC motor efficiency classes and this is also reviewed along with the standards for motor efficiency and inverter-operated motors.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129607906","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
Knowledge representation of large medical data using XML 使用XML的大型医疗数据的知识表示
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-24 DOI: 10.1109/IConAC.2016.7604956
Vassiliki Somaraki, Zhijie Xu
{"title":"Knowledge representation of large medical data using XML","authors":"Vassiliki Somaraki, Zhijie Xu","doi":"10.1109/IConAC.2016.7604956","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604956","url":null,"abstract":"SOMA uses longitudinal data collected from the Ophthalmology Clinic of the Royal Liverpool University Hospital. Using trend mining (an extension of association rule mining) SOMA links attributes from the data. However the large volume of information at the output makes them difficult to be explored by experts. This paper presents the extension of the SOMA framework which aims to improve the post-processing of the results from experts using a visualisation tool which parse and visualizes the results, which are stored into XML structured files.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116600223","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
Hybrid intrusion detection in connected self-driving vehicles 联网自动驾驶汽车的混合入侵检测
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-20 DOI: 10.1109/IConAC.2016.7604962
K. Alheeti, K. Mcdonald-Maier
{"title":"Hybrid intrusion detection in connected self-driving vehicles","authors":"K. Alheeti, K. Mcdonald-Maier","doi":"10.1109/IConAC.2016.7604962","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604962","url":null,"abstract":"Emerging self-driving vehicles are vulnerable to different attacks due to the principle and the type of communication systems that are used in these vehicles. These vehicles are increasingly relying on external communication via vehicular ad hoc networks (VANETs). VANETs add new threats to self-driving vehicles that contribute to substantial challenges in autonomous systems. These communication systems render self-driving vehicles vulnerable to many types of malicious attacks, such as Sybil attacks, Denial of Service (DoS), black hole, grey hole and wormhole attacks. In this paper, we propose an intelligent security system designed to secure external communications for self-driving and semi self-driving cars. The proposed scheme is based on Proportional Overlapping Score (POS) to decrease the number of features found in the Kyoto benchmark dataset. The hybrid detection system relies on the Back Propagation neural networks (BP), to detect a common type of attack in VANETs: Denial-of-Service (DoS). The experimental results show that the proposed BP-IDS is capable of identifying malicious vehicles in self-driving and semi self-driving vehicles.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130766548","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: 29
Night-time indoor relocalization using depth image with Convolutional Neural Networks 基于卷积神经网络的深度图像夜间室内定位
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-10-20 DOI: 10.1109/ICONAC.2016.7604929
Ruihao Li, Qiang Liu, Jianjun Gui, Dongbing Gu, Huosheng Hu
{"title":"Night-time indoor relocalization using depth image with Convolutional Neural Networks","authors":"Ruihao Li, Qiang Liu, Jianjun Gui, Dongbing Gu, Huosheng Hu","doi":"10.1109/ICONAC.2016.7604929","DOIUrl":"https://doi.org/10.1109/ICONAC.2016.7604929","url":null,"abstract":"In this work, we present a Convolutional Neural Network(CNN) with depth images as its inputs to solve the relocalization problem of a moving platform in night-time indoor environment. The developed algorithm can estimate the camera pose in an end-to-end manner with 0.40m and 7.49° errors in real time during night. It does not require any geometric computation as it directly uses a CNN for 6 DOFs pose regression. The architecture and its encoding methods of depth images are discussed. The proposed method is also evaluated on benchmark datasets collected from a motion capture system in our lab.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121377812","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: 7
Development of an attitude control system of a heavy-lift hexacopter using Elman recurrent neural networks 基于Elman递归神经网络的重型六旋翼机姿态控制系统的研制
2016 22nd International Conference on Automation and Computing (ICAC) Pub Date : 2016-09-08 DOI: 10.1109/IConAC.2016.7604889
B. Kusumoputro, H. Suprijono, M. A. Heryanto, B. Suprapto
{"title":"Development of an attitude control system of a heavy-lift hexacopter using Elman recurrent neural networks","authors":"B. Kusumoputro, H. Suprijono, M. A. Heryanto, B. Suprapto","doi":"10.1109/IConAC.2016.7604889","DOIUrl":"https://doi.org/10.1109/IConAC.2016.7604889","url":null,"abstract":"Hexacopter is a type of multicopter that can be used to lift a heavy load, hence very convenient to be utilised in agricultural fields. As the consequence, however, the attitude control of this hexacopter is rather difficult compare with that of a quadcopter with four motors, due to gyroscopic effect of the additional motors and in its combination with the heavy loads. In this paper, we have developed a direct inverse controller system using an Elman neural networks for the attitude and altitude control of the hexacopter. Experiments are conducted using a flight data taken from a test-bed system. Results show that the attitude characteritics of the heavy-lift hexacopter can be controlled successfully, especially when an optimized Elman neural networks as the direct inverse controller system is utilized.","PeriodicalId":375052,"journal":{"name":"2016 22nd International Conference on Automation and Computing (ICAC)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114280353","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: 14
下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信