Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6026021
Guowan Zhang
By using the Moore-Penrose inverse and the singular value decomposition theory, in this paper, the author designed controllers make the eigenvalues of the closed-loop system located in a ring of the unit circle, and the variance of each steady state compose to the given constraint. And author derives the existing sufficient and necessary conditions and the expression of solution by a modified algebraic Lyapunov matrix equation. The corresponding numerical example explains this method designed in practical engineering control system possible.
{"title":"Ring pole assignment and variance-constrained synthetical control for random constant system","authors":"Guowan Zhang","doi":"10.1109/MEC.2011.6026021","DOIUrl":"https://doi.org/10.1109/MEC.2011.6026021","url":null,"abstract":"By using the Moore-Penrose inverse and the singular value decomposition theory, in this paper, the author designed controllers make the eigenvalues of the closed-loop system located in a ring of the unit circle, and the variance of each steady state compose to the given constraint. And author derives the existing sufficient and necessary conditions and the expression of solution by a modified algebraic Lyapunov matrix equation. The corresponding numerical example explains this method designed in practical engineering control system possible.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114988698","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6025449
Cao Li-ying, Zhang Xiao-xian, Liu He, Cheng Gui-fen
In order to make the detecting rate faster and improve the accuracy of network intrusion detection, this paper ameliorated a network intrusion detection method which was based on combining support vector machines and LVQ (Learning vector quantization) neural network algorithm The method combines the popularizing capability of SVM and the learning capability of LVQ neural network. It overcame the shortcomings of traditional neural network algorithm, such as the slower learning speed and the larger possibility of falling into local minimum. Examples proved that this combined model had faster speed and higher rate of accuracy. What is more, it better resolved a series of detecting problems, such as nonlinearity, small-sample, high-dimension and local minimum.
{"title":"A network intrusion detection method based on combined model","authors":"Cao Li-ying, Zhang Xiao-xian, Liu He, Cheng Gui-fen","doi":"10.1109/MEC.2011.6025449","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025449","url":null,"abstract":"In order to make the detecting rate faster and improve the accuracy of network intrusion detection, this paper ameliorated a network intrusion detection method which was based on combining support vector machines and LVQ (Learning vector quantization) neural network algorithm The method combines the popularizing capability of SVM and the learning capability of LVQ neural network. It overcame the shortcomings of traditional neural network algorithm, such as the slower learning speed and the larger possibility of falling into local minimum. Examples proved that this combined model had faster speed and higher rate of accuracy. What is more, it better resolved a series of detecting problems, such as nonlinearity, small-sample, high-dimension and local minimum.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115408173","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6025583
Gang Xu, Rubo Geng, Mingcong Ma
Aiming at the uncertain information in the multi-objective assessment for aviation ammunition maintenance quality, the model adopts the deviation degree of the interval number to determine the attribute weight, and uses WAA operator to obtain the comprehensive attribute value of the scheme. According to the possibility matrix, it gains the sequencing vector, so as to get the assessment scheme. The final calculation cases show the feasibility & reliability of the model. Under the circumstance that the weight is unknown, the model carried out the assessment for many schemes. The multi-objective evaluation model can effectively solve complex problem for evaluation of aviation ammunition maintenance quality in uncertain condition, and can provide the scientific support for the aviation ammunition maintenance decision.
{"title":"Multi-objective evaluation model for aviation ammunition maintenance quality","authors":"Gang Xu, Rubo Geng, Mingcong Ma","doi":"10.1109/MEC.2011.6025583","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025583","url":null,"abstract":"Aiming at the uncertain information in the multi-objective assessment for aviation ammunition maintenance quality, the model adopts the deviation degree of the interval number to determine the attribute weight, and uses WAA operator to obtain the comprehensive attribute value of the scheme. According to the possibility matrix, it gains the sequencing vector, so as to get the assessment scheme. The final calculation cases show the feasibility & reliability of the model. Under the circumstance that the weight is unknown, the model carried out the assessment for many schemes. The multi-objective evaluation model can effectively solve complex problem for evaluation of aviation ammunition maintenance quality in uncertain condition, and can provide the scientific support for the aviation ammunition maintenance decision.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115630165","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6025501
Liyun Xing, Xiuna Yu
Micro-Air-Vehicle (MAV) is small and light. So it is very easily affected by action of various disturbing and disturbing torque. The MAV is also nonlinear and variable coefficient, pure delay, inertia, cross-coupling etc. These characteristics make the control of the aircraft get more complicated. This thesis takes advantage of the characteristic of Genetic Algorithm (GA) optimization control, combined with the characteristic of the sliding mode variable structure method to realize the MAV attitude control according to the adaption of the system disturbing and system perturbation. Simulation results show that the MAV attitude control scheme is robust and has good tracking performance.
{"title":"Sliding mode variable structure optimized control for micro-air-vehicle attitude control systems","authors":"Liyun Xing, Xiuna Yu","doi":"10.1109/MEC.2011.6025501","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025501","url":null,"abstract":"Micro-Air-Vehicle (MAV) is small and light. So it is very easily affected by action of various disturbing and disturbing torque. The MAV is also nonlinear and variable coefficient, pure delay, inertia, cross-coupling etc. These characteristics make the control of the aircraft get more complicated. This thesis takes advantage of the characteristic of Genetic Algorithm (GA) optimization control, combined with the characteristic of the sliding mode variable structure method to realize the MAV attitude control according to the adaption of the system disturbing and system perturbation. Simulation results show that the MAV attitude control scheme is robust and has good tracking performance.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121824562","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6025919
Wang Nan, Sun Shanwu
Constructing the abstraction model of physical world is an important step of model-based reasoning. This paper applies multi-knowledge to the general abstraction theory of physical world and uses the general framework representing abstraction to propose the multi-workflow modeling process, including workflow behavior model, workflow function model and workflow teleology model. The ontology linkages between proposed three models are built up and the multi-workflow model framework is characterized from three levels: model transforming level, model objects sharing level and multi-knowledge mapping level. The present multi-workflow model truly enriches the model basis for model-based reasoning.
{"title":"Introducing multiple knowledge to workflow modeling","authors":"Wang Nan, Sun Shanwu","doi":"10.1109/MEC.2011.6025919","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025919","url":null,"abstract":"Constructing the abstraction model of physical world is an important step of model-based reasoning. This paper applies multi-knowledge to the general abstraction theory of physical world and uses the general framework representing abstraction to propose the multi-workflow modeling process, including workflow behavior model, workflow function model and workflow teleology model. The ontology linkages between proposed three models are built up and the multi-workflow model framework is characterized from three levels: model transforming level, model objects sharing level and multi-knowledge mapping level. The present multi-workflow model truly enriches the model basis for model-based reasoning.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124261778","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6025786
Yongxin Yan, Xiaolei Zhang
Currently most technologies used by virtual studio systems are extended applications of Virtual Reality (VR) technologies. But for small TV stations and web stations, virtual studio based on traditional VR is so expensive while the FLARToolKit technology used by Augmented Reality (AR) technologies is their top option. However, the calculation speed of FLARToolKit is a little slow and the frame rate is very difficult to reach the live broadcasting video level. My improvements are to apply adaptive thresholds, use sample blurring and change identification frequency, which solves the shortcomings and makes the Virtual Studio faster and better.
{"title":"Research and analysis of the Virtual Reality with FLARToolKit","authors":"Yongxin Yan, Xiaolei Zhang","doi":"10.1109/MEC.2011.6025786","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025786","url":null,"abstract":"Currently most technologies used by virtual studio systems are extended applications of Virtual Reality (VR) technologies. But for small TV stations and web stations, virtual studio based on traditional VR is so expensive while the FLARToolKit technology used by Augmented Reality (AR) technologies is their top option. However, the calculation speed of FLARToolKit is a little slow and the frame rate is very difficult to reach the live broadcasting video level. My improvements are to apply adaptive thresholds, use sample blurring and change identification frequency, which solves the shortcomings and makes the Virtual Studio faster and better.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116791334","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6025462
Li Huang, Jian-De Lu
TCP Vegas congestion algorithm was designed for wired networks, but has poor performance when used in mobile ad hoc network. This paper analyses the impact of hops changing in mobile ad hoc network on the performance of TCP Vegas, and presents a new algorithm named TCP Vegas-HA (TCP Vegas — Hops Adaptive) to improve the performance of TCP Vegas in mobile ad hoc network. As the minimum round-trip time (baseRTT) cannot be accurately measured in mobile ad hoc network, a new measurement method using the empirical value is proposed. Simulation results show that the algorithm has good adaptability with route buffers changing while hops varies, and can effectively increase the TCP Vegas throughput in mobile ad hoc network.
{"title":"Hops adaptive algorithm for TCP vegas in mobile ad hoc network","authors":"Li Huang, Jian-De Lu","doi":"10.1109/MEC.2011.6025462","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025462","url":null,"abstract":"TCP Vegas congestion algorithm was designed for wired networks, but has poor performance when used in mobile ad hoc network. This paper analyses the impact of hops changing in mobile ad hoc network on the performance of TCP Vegas, and presents a new algorithm named TCP Vegas-HA (TCP Vegas — Hops Adaptive) to improve the performance of TCP Vegas in mobile ad hoc network. As the minimum round-trip time (baseRTT) cannot be accurately measured in mobile ad hoc network, a new measurement method using the empirical value is proposed. Simulation results show that the algorithm has good adaptability with route buffers changing while hops varies, and can effectively increase the TCP Vegas throughput in mobile ad hoc network.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":" 610","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120827521","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6026028
Wang Jin-wu, Ma Tao
In order to emerge the traditional measurement's shortage of auto body panel, we proposed the method based on formability index. According to the above mentioned programs and the springback defect diagnosis, we developed a CAE module for the springback defect analysis based on VC++ environment, and solved the problems which the traditional sheet metal forming CAE software can not accurately predict. And then a forming process of U-beam is simulated by applying the proposed method which shows the method we proposed is accurate, and then we introduced some methods to optimize the adjustment amount of metal flow and the stamping dies for springback. Some suggestions are given by investigating the adjustment amount and modification of the stamping die.
{"title":"Numerical simulation of springback base on formability index for auto panel surface","authors":"Wang Jin-wu, Ma Tao","doi":"10.1109/MEC.2011.6026028","DOIUrl":"https://doi.org/10.1109/MEC.2011.6026028","url":null,"abstract":"In order to emerge the traditional measurement's shortage of auto body panel, we proposed the method based on formability index. According to the above mentioned programs and the springback defect diagnosis, we developed a CAE module for the springback defect analysis based on VC++ environment, and solved the problems which the traditional sheet metal forming CAE software can not accurately predict. And then a forming process of U-beam is simulated by applying the proposed method which shows the method we proposed is accurate, and then we introduced some methods to optimize the adjustment amount of metal flow and the stamping dies for springback. Some suggestions are given by investigating the adjustment amount and modification of the stamping die.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120945540","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6025628
Yi-bo Li, Xiaoling Shen, Shanshan Bei
The tracking algorithm of Camshift is only used in simple background with certain color. In this paper, an improved Camshift algorithm is proposed. Firstly the precision localization of the target is realized by wavelet which has the characteristics of multi-resolution analysis and time-frequency local window analysis, then the coordinate of center-of-mass is calculated based on the detected initial frames, and the result is regarded as the initial position of the improved Camshift algorithm. Then the Kalman filter algorithm is combined with Camshift in order to adjust the center-of-mass position of moving target. Experiments results show that the algorithm can effectively overcome interference of the background color, and reliable target tracking in complex situation is realized.
{"title":"Real-time tracking method for moving target based on an improved Camshift algorithm","authors":"Yi-bo Li, Xiaoling Shen, Shanshan Bei","doi":"10.1109/MEC.2011.6025628","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025628","url":null,"abstract":"The tracking algorithm of Camshift is only used in simple background with certain color. In this paper, an improved Camshift algorithm is proposed. Firstly the precision localization of the target is realized by wavelet which has the characteristics of multi-resolution analysis and time-frequency local window analysis, then the coordinate of center-of-mass is calculated based on the detected initial frames, and the result is regarded as the initial position of the improved Camshift algorithm. Then the Kalman filter algorithm is combined with Camshift in order to adjust the center-of-mass position of moving target. Experiments results show that the algorithm can effectively overcome interference of the background color, and reliable target tracking in complex situation is realized.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"339 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124768109","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}
Pub Date : 2011-09-23DOI: 10.1109/MEC.2011.6025614
Liu Jun-ling, Guan Rong-qiang, Liu Jun-yi, An Xiaofeng
The experimental methods of psychology provides a basis of computer vision simulation, because it can reveal the law of human visual information processing. The shape and color are important features of stimulations, which are very crucial for the identification of stimulations. This study is based on the experimental psychology and BP neural networks, use experimental methods of reaction time measurements and feature extraction methods of the BP neural network, by the experiment of identifying three groups of geometric images of the same color in different shapes, the same shape in different colors and shape and color are both different, and attempt to explore the relationships of affect of the stimulus recognition between shape features and color features of stimulations in the visual information process. Comparing and analyzing the experimental results getting from the experimental psychology methods, we can find that: in the image feature recognition, recognizing the shape feature is faster than the color feature. And the same experimental results obtained by BP neural network simulation.
{"title":"Comparative studies of visual stimuli features affect the stimulus recognize","authors":"Liu Jun-ling, Guan Rong-qiang, Liu Jun-yi, An Xiaofeng","doi":"10.1109/MEC.2011.6025614","DOIUrl":"https://doi.org/10.1109/MEC.2011.6025614","url":null,"abstract":"The experimental methods of psychology provides a basis of computer vision simulation, because it can reveal the law of human visual information processing. The shape and color are important features of stimulations, which are very crucial for the identification of stimulations. This study is based on the experimental psychology and BP neural networks, use experimental methods of reaction time measurements and feature extraction methods of the BP neural network, by the experiment of identifying three groups of geometric images of the same color in different shapes, the same shape in different colors and shape and color are both different, and attempt to explore the relationships of affect of the stimulus recognition between shape features and color features of stimulations in the visual information process. Comparing and analyzing the experimental results getting from the experimental psychology methods, we can find that: in the image feature recognition, recognizing the shape feature is faster than the color feature. And the same experimental results obtained by BP neural network simulation.","PeriodicalId":386083,"journal":{"name":"2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125018219","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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