Proceedings of 2013 2nd International Conference on Measurement, Information and Control最新文献

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Research on effectiveness evaluation of the mission-critical system 关键任务系统效能评估研究
Xin Zhao, Shaojie Mao, Fang Zhou
{"title":"Research on effectiveness evaluation of the mission-critical system","authors":"Xin Zhao, Shaojie Mao, Fang Zhou","doi":"10.1109/MIC.2013.6758099","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758099","url":null,"abstract":"Facing more and more threats from the cyberspace, it has become significant to evaluate the effectiveness of mission-critical systems. Firstly, the concept of mission-critical system effectiveness is presented. Then based on the core capabilities analysis, a novel index system of mission-critical system effectiveness is established, which consists of three aspects: quality of information, quality of information service and security. And the hierarchical index system can comprehensively reflect timeliness, efficiency, quality, and security characteristics of the mission-critical system. Further, based on indexes classification, the approaches of establishing evaluation models for various classes of indexes are given, with illustrations of some typical indexes.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"82 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116560799","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
MRC image recognition based on neural network 基于神经网络的MRC图像识别
L. Wenjuan, Cheng Huaiying, Wang Yuzhi, Fu Min
{"title":"MRC image recognition based on neural network","authors":"L. Wenjuan, Cheng Huaiying, Wang Yuzhi, Fu Min","doi":"10.1109/MIC.2013.6758137","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758137","url":null,"abstract":"Traditional image during MRC measurement needs eyes to judge, which exists the subjective error. This paper describes theoretical framework, design and testing process of objective measurement MRC. By using BP neural network model, MRC image can be recognized automatically and reduces subjective error. The experimental results show that three layers BP neural networks can effectively identify the image by choosing appropriate characteristic value.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128421567","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
Globally optimal distributed fusion white noise deconvolution estimator 全局最优分布融合白噪声反卷积估计
Xiaojun Sun, G. Yan, Bo Zhang
{"title":"Globally optimal distributed fusion white noise deconvolution estimator","authors":"Xiaojun Sun, G. Yan, Bo Zhang","doi":"10.1109/MIC.2013.6757935","DOIUrl":"https://doi.org/10.1109/MIC.2013.6757935","url":null,"abstract":"In this paper, a distributed fusion white noise deconvolution estimator is presented for the multisensor linear discrete systems with different measurement matrices and correlated measurement noises. It is globally optimal because it is derived from the centralized fusion white noise deconvolution estimator and is identical to the centralized fuser. The proposed white noise fuser is obtained based on the local Kalman predictors. Compared with the existing globally suboptimal distributed fusion white noise estimators, the computation of complex covariance matrices is avoided. The effectiveness of the proposed results is shown by a Monte Carlo simulation for the Bernoulli-Gaussian input white noise.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132225664","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 image space of meyer wavelet transform meyer小波变换的象空间
Xuying Zhang, Caixia Deng, Yao Han
{"title":"The image space of meyer wavelet transform","authors":"Xuying Zhang, Caixia Deng, Yao Han","doi":"10.1109/MIC.2013.6758159","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758159","url":null,"abstract":"Meyer wavelet is a classic wavelet, it has many good properties. For example derivation infinitely, smoothness, attenuates fast and its spectrum is finite, Meyer wavelet is beneficial to numerical calculate, so it applies widely in engineering majors. In this paper, we can discuss the properties of the image space of classic Meyer wavelet transform. According to the properties of reproducing kernel, In this space, we obtain the reproducing kernel function two expressions When scale factor is fixed. We also use the additive operation and norm operation of reproducing kernel space to describe the Meyer image space. This article provides one method about study the image space of the class of Meyer wavelets transform. In signal processing field, which is beneficial to choose wavelet base well. And in the actual application of the class of Meyer wavelet, by the results of this paper, in which can help us to choose a more suitable Meyer wavelet. We can give the optimal algorithm, programming by computer and develop the application software.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133347366","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: 3
Study on wheel-flat detection method based on vehicle system acceleration measurement 基于车辆系统加速度测量的车轮扁度检测方法研究
Xiukun Wei, Jun Chen
{"title":"Study on wheel-flat detection method based on vehicle system acceleration measurement","authors":"Xiukun Wei, Jun Chen","doi":"10.1109/MIC.2013.6757916","DOIUrl":"https://doi.org/10.1109/MIC.2013.6757916","url":null,"abstract":"The wheel flat fault is the most common wheel damages. It causes rapid deterioration of, both, rolling and fixed railway equipment. So, it cannot be ignored and should be detected as soon as possible after it occurs. In this paper, a wheel flat detection method is presented which is based on vehicle system acceleration measurement. A simulation model with acceleration sensors is set up using SIMPACK. The Fourier Transform is applied to analysis the data obtained from the simulation model. The effectiveness of the proposed approach is demonstrated by simulation results.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133812686","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
Economy analysis of extended range electric vehicle in different control strategies 增程式电动汽车不同控制策略下的经济性分析
Meilan Zhou, Ruixue Liu, Nannan Ding, Xiaogang Wu, Wenqian Zhu
{"title":"Economy analysis of extended range electric vehicle in different control strategies","authors":"Meilan Zhou, Ruixue Liu, Nannan Ding, Xiaogang Wu, Wenqian Zhu","doi":"10.1109/MIC.2013.6758141","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758141","url":null,"abstract":"According to problem, the electric vehicles have short endurance mileage and charge inconveniently, this paper proposed extended range electric vehicle instead of electric vehicle. Compared with the electric vehicles, the extended range electric vehicles increase the Range Extender (RE) that was constituted by internal combustion engine, generator and rectifier. The extended range electric vehicles model was established in the CRUISE, and matched the powertrain parameters. The power consumption simulation was carried in the Chinese typical cycle run. The simulation used two different energy management strategies. The results show that the powertrain matching parameters are relatively rational. In the CD-CS energy management strategy, when RE adopts (ON-OFF) control model. The vehicle fuel consumption and electrical consumption were less than the power following control methods. Meanwhile, the economy of the vehicle adopting (ON-OFF) control model is better than the other.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113965974","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
Dynamic modeling and controlling for autonomous takeoff of Unmanned Aerial Vehicle 无人机自主起飞动力学建模与控制
Gao Jiu-zhou, D. Zhen
{"title":"Dynamic modeling and controlling for autonomous takeoff of Unmanned Aerial Vehicle","authors":"Gao Jiu-zhou, D. Zhen","doi":"10.1109/MIC.2013.6758061","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758061","url":null,"abstract":"To achieve the autonomous takeoff of Unmanned Aerial Vehicle along the centerline of the runway, the unique dynamical characteristics should be established for the UAV and the suitable control method should be designed. In this study, the dynamic model makes the pressure ratio of front-main wheel is a constant, then adding the pressure errors caused by the rolling moment to the left and right main wheels separately. The dynamic model also includes the motor twisting moment and the wind disturbance. Based on all the factors mentioned above, a control method by front wheel and rudder swaying is designed for the direction and lateral displacement control. The simulation results show that the time-separate controller by front and main wheels achieves the destination in the environment of initial displacement 1m, initial yaw angle 5° and wind velocity 3m/s.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122834250","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
Kalman smoother and weighted fusion algorithm for fractional systems 分数阶系统的Kalman光滑加权融合算法
Xiaojun Sun, G. Yan, Bo Zhang
{"title":"Kalman smoother and weighted fusion algorithm for fractional systems","authors":"Xiaojun Sun, G. Yan, Bo Zhang","doi":"10.1109/MIC.2013.6757936","DOIUrl":"https://doi.org/10.1109/MIC.2013.6757936","url":null,"abstract":"For the linear discrete fractional state-space systems, a fractional Kalman smoother is presented in this paper. The detail derivation is given. For the multisensor linear discrete fractional state-space systems, a weighted measurement fusion algorithm is presented based on the linear minimum variance optimal fusion rules. It is rigorously proved that the weighted measurement fusion fractional Kalman smoother is numerically identical to the centralized fusion fractional Kalman smoother, so that it has the global optimality. Its effectiveness is shown by a simulation example.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123939177","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
Sharpness evaluation function of wavelength-related multi-spectral image 波长相关多光谱图像的清晰度评价函数
Hong-ning Li, Lin-li Xu, Jie Feng, Wei-ping Yang, Yun-Mei Wang
{"title":"Sharpness evaluation function of wavelength-related multi-spectral image","authors":"Hong-ning Li, Lin-li Xu, Jie Feng, Wei-ping Yang, Yun-Mei Wang","doi":"10.1109/MIC.2013.6758003","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758003","url":null,"abstract":"In this paper, two objective sharpness functions which results match the subjective result very well are obtained, and it solved the problem of descripting the sharpness property in a multi-spectral image. The multi-spectral image of an international standard vision chart is obtained by a dispersion LCTF multi-spectral imaging system. Subjective experiment is designed and conducted to obtain the sharpness values of the channel image with different light wavelength, and 6 objective sharpness evaluation functions are used to calculate the sharpness/wavelength relationships. Experiment results show that only gray differential function and point sharpness function match the subjective experiment very well, and can be used to describe the sharpness property of the channel images of a dispersion multi-spectral imaging system. Moreover, concerning the computational speed, gray differential function is faster than point sharpness function.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121159607","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
Improvement of fuzzy controller with maximum power point tracking technology 最大功率点跟踪技术对模糊控制器的改进
Liu Wei, Shi Jing
{"title":"Improvement of fuzzy controller with maximum power point tracking technology","authors":"Liu Wei, Shi Jing","doi":"10.1109/MIC.2013.6758185","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758185","url":null,"abstract":"This paper presents implementation of particle swarm optimization (PSO) algorithm as S function. The calculation method is used to improve the function of the fuzzy logic controller (FLC), to make it work at the maximum power point. The proposed method was verified using simulation in MATLAB/Simulink. The results show that the optimized FLC gives a better performance compared to traditional method on maximum power point tracking (MPPT). The method is applied to photovoltaic grid, So that the grid system to stabilize.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"107 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128654956","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
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