{"title":"Remaining capacity of batteries based on RLS-Kalman filter","authors":"Zhao Cun","doi":"10.1109/MIC.2013.6758172","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758172","url":null,"abstract":"This paper components of internal resistance of batteries and its measurement principle and method were analyzed, presents a method of the lead-acid battery internal resistance measurement based on RLS-Kalman. It can Test the battery internal resistance can real-time display the remaining capacity of batteries, the method to guarantee the reliable of battery. This paper uses RLS-Kalman filter to effectively remove the inside of the channel noise, simulation operation shows that the system can decrease the bit error rate and improve the accuracy and stability of battery resistance testing.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"35 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":"116387777","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}
{"title":"The regularity of wavelet transform with the high order vanishing moments","authors":"Siqi Li","doi":"10.1109/MIC.2013.6758211","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758211","url":null,"abstract":"The regularity of wavelet transform has been widely applied in signal analysis, image processing, seismic exploration, network anomaly analysis and other fields. For the high order vanishing moment of rapid attenuation wavelet function do the continuous wavelet transform, building a relationship in the Hölder continuity of higher-order differentiable function and the attenuation of absolute value of wavelet transform. Namely under the condition of rapid attenuation wavelet function with high order vanishing moments, given the high order differentiable function with Hölder continuity is a sufficient condition of the absolute value of the continuous wavelet transform with rapid attenuation. Under the condition of given compactly supported wavelet function with high order vanishing moments, this paper gives that the high order differentiable function with Hölder continuity is the necessary condition of the absolute value of the continuous wavelet transform with rapid attenuation. By means of wavelet transform attenuation of coefficient depict the global regularity of function.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"42 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":"122316972","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}
Tianshe Yang, Bin Chen, Hailong Zhang, Xiaole Wang, Yu Gao, Nan Xing
{"title":"State trend prediction of spacecraft based on BP neural network","authors":"Tianshe Yang, Bin Chen, Hailong Zhang, Xiaole Wang, Yu Gao, Nan Xing","doi":"10.1109/MIC.2013.6758086","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758086","url":null,"abstract":"According to the requirement of state trend prediction for spacecraft fault prediction, a spacecraft state trend prediction method is proposed based on BP neural network. The principle and model of BP neural network are introduced into spacecraft fault prediction. Considering the specific application background, the relevant algorithm flow is provided. Taking the temperature parameter of key components in satellite as research object, the state trend prediction computation and comparison are implemented. The precision of the prediction results is evaluated, and it verifies the reliability and validity of the proposed method in quantitative way.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"1150 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":"128291975","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}
{"title":"Eveno algorithm: Research on TCP Veno enhanced congestion control algorithm","authors":"Xiaoping Yang, Yang Zhou, Jian Jiang","doi":"10.1109/MIC.2013.6758058","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758058","url":null,"abstract":"This article analyzes the mechanisms of TCP Veno algorithm with its existing problems, the reasons of packet transmission loss cannot be distinguished accurately, and proposes a novel end-to-end congestion control algorithm called TCP Eveno. The TCP Eveno improves the congestion status differentiation mechanism and congestion control mechanism, in order to distinguish the cause of the transmission loss more accurately, and achieve higher network resources utilization. Experiments have been conducted to compare Eveno algorithm with Reno and Veno algorithm in NS-2 simulation environment, when the packet loss rate is higher (0.01, 0.1), throughput of Eveno algorithm remains at a higher level than Veno and Reno.","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":"130348624","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}
{"title":"Multi-model optimal robust control of nonlinear systems in gap metric","authors":"Duan Yubo, Yao Sai, L. Bin","doi":"10.1109/MIC.2013.6758187","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758187","url":null,"abstract":"Since the gap metric was introduced into the control theory, it has been studied widely. In this paper, a multi-model control strategy of the nonlinear system is proposed in gap metric. The robust stability radius is defined in gap metric to generate the weighting coefficients. The corresponding optimal robust controllers of reasonable operation points of nonlinear system are designed, whose outputs are weighted to produce the total output of the controller. At last, a strongly nonlinear system is considered to illustrate the effective of the new controller design method.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"135 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":"123477677","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}
{"title":"A new data stream classification algorithm","authors":"Hong-shuo Liang, Li-qun Jin, Li Zhao","doi":"10.1109/MIC.2013.6758008","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758008","url":null,"abstract":"In data mining area, data stream classification, detecting concept drifts and updating temporary models are challenging tasks. To deal with this, big sample buffer and complex updating process are always needed for most of the current algorithms. In this article, a digital hormone based classification algorithm was presented. With the given way, we do not need a big sample-buffer in the classification process and the classifier can be updated efficiently. Experiments have shown that the proposed algorithm has the ability to predict the class label accurately and to store temporary records with more smaller memory space.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"61 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":"114222050","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}
{"title":"Research on signal processing in distributed optical fiber temperature measurement system","authors":"Ru Hongfang, Jiacai Fu","doi":"10.1109/MIC.2013.6758196","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758196","url":null,"abstract":"Distributed optical fiber temperature measurement technology could shield the interference of a strong electromagnetic field and apply to the field of high voltage. From the signal characteristics of weak and low signal-to-noise ratio, digital accumulate seeking arithmetic average and queue filtering were used to improve the measurement accuracy of the system, which achieved better test results.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"4 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":"114329809","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}
{"title":"Research on cooperative spectrum sensing algorithm based on data fusion","authors":"Xinmiao Lu, Qiong Wu, Lei Wu","doi":"10.1109/MIC.2013.6757959","DOIUrl":"https://doi.org/10.1109/MIC.2013.6757959","url":null,"abstract":"In view of the actual wireless communication environment, there exists the difference between different location of the cognitive radio spectrum sensing node. This paper studies excellent detection performance of each node spectrum sensing of cognitive level in different conditions of received signal to noise ratio. The data fusion criteria which cognitive user adopt under different SNR could take directly affects the overall cooperative spectrum sensing detection performance, and there have cognitive fusion nodes with lower SNR to be in confluence, on the contrary it will reduce the overall detection performance. Therefore the hybrid data fusion based cooperative spectrum sensing algorithm is proposed, the method based on different SNR classifies cognitive nodes. The different criteria for data fusion is taken according to each type of the characteristics. It can be proved to improve the detection performance of the whole system effectively through MATLAB simulation in different channel environments.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"45 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":"116373824","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}
Yu Xiaoyang, Yu Yang, Yu Shuchun, Song Yang, Yang Huimin, Liu Xifeng
{"title":"A novel motion object detection method based on improved frame difference and improved Gaussian mixture model","authors":"Yu Xiaoyang, Yu Yang, Yu Shuchun, Song Yang, Yang Huimin, Liu Xifeng","doi":"10.1109/MIC.2013.6757972","DOIUrl":"https://doi.org/10.1109/MIC.2013.6757972","url":null,"abstract":"The existing motion detection methods include background subtraction and frame difference. But it is prone to exist some holes with frame difference method and it is difficult to build background model using background subtraction method. So the test results did not achieve the ideal state. Aim at these problem, this paper combines frame difference method improved by motion history image with background subtraction method based on improved Gaussian mixture model to detect the motion object. The experimental results show the method has achieved a satisfactory effect.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"85 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":"124347568","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}
Li Linchao, Fan Jianying, Bi Jing, Liang Weitao, Sun Changming
{"title":"Research on color components correction and decoding of color-coded structured light in 3D measurement","authors":"Li Linchao, Fan Jianying, Bi Jing, Liang Weitao, Sun Changming","doi":"10.1109/MIC.2013.6757974","DOIUrl":"https://doi.org/10.1109/MIC.2013.6757974","url":null,"abstract":"Adopting color-coded structured light Three-dimensional measurement of color target, due to the superposition of two colors, colored stripes on the target color will occur distorted changes, resulting in decoding errors of colored stripes, leading to measurement error. Focus on this problem, we propose a color component information processing method which through regression analysis build a mathematical model based on the relationship of the reflected light and incident light and the surface color, using the least squares method for solving the model, in order to get the relationship of the reflected light and the incident light color component and surface color component, and restore the color of the projected stripes to ensure the correctness of the striped decode. The experimental results show that this method has a good effect on decoding.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"07 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":"124535252","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}