发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
The experimental research of dynamic path planning method based on behavior dynamics 基于行为动力学的动态路径规划方法实验研究
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6758206
Lei Yanmin, Ji Shu-jiao, Xing Xiaoxue, Ren Liye, Guan Xiu-li, Feng Zhibin
{"title":"The experimental research of dynamic path planning method based on behavior dynamics","authors":"Lei Yanmin, Ji Shu-jiao, Xing Xiaoxue, Ren Liye, Guan Xiu-li, Feng Zhibin","doi":"10.1109/MIC.2013.6758206","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758206","url":null,"abstract":"A kind of experiment research method was proposed in this paper to further verify dynamic path planning method in [1]. Firstly, MATLAB engine method was chosen by comparing a variety of mixed programming methods of MATLAB and Visual C++ (VC). Secondly, two experiments were studied by using two tracked robots. The first experiment was performed in static environment and the second experiment was performed in dynamic environment. The experimental results show that the dynamic path planning method in [1] is not only suitable for the dynamic environment but also suitable for the static environment. The proposed method in this paper is feasible, and it can save programming time and improve efficiency of algorithm verification.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"17 3 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":"123030242","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
Change points estimation and simulation for software reliability model 软件可靠性模型的变化点估计与仿真
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6757999
Yuxin Zhao, Chengcheng Wan, F. Gao, Shuai Chang
{"title":"Change points estimation and simulation for software reliability model","authors":"Yuxin Zhao, Chengcheng Wan, F. Gao, Shuai Chang","doi":"10.1109/MIC.2013.6757999","DOIUrl":"https://doi.org/10.1109/MIC.2013.6757999","url":null,"abstract":"The change points exist in the failure process of software. The number and locations of change points produce significant influence on software reliability estimation, but now there is no effective way to estimate accurately. Therefore, this paper proposes a new method of change points estimation. According to the control chart of software failure data and the proposed judgment criteria of change points, it estimates the number and locations of change points initially. Then, it proposes a progressive adjustment method to calculate locations of change points accurately. The feasibility and effectiveness of the new method are examined by using two public software failure data sets. The results show that the proposed model with new change points fits the failure data better and can predict two sets of data more accurately.","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":"126387566","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
Data mining-based fault detection and prediction methods for in-orbit satellite 基于数据挖掘的在轨卫星故障检测与预测方法
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6758085
Tianshe Yang, Bin Chen, Yu Gao, Junhua Feng, Hailong Zhang, Xiaole Wang
{"title":"Data mining-based fault detection and prediction methods for in-orbit satellite","authors":"Tianshe Yang, Bin Chen, Yu Gao, Junhua Feng, Hailong Zhang, Xiaole Wang","doi":"10.1109/MIC.2013.6758085","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758085","url":null,"abstract":"Fault detection and prediction is one of the key technologies for health monitoring of in-orbit satellites. The fault detection and prediction methods for in-orbit satellites is studied by the data mining technology. The deep mining method for telemetry of the in-orbit satellite is studied. Then, several fault detection and prediction methods are proposed, which have been developed and used in fault detection and prediction of actual in-orbit satellites. The results show that the proposed methods are effective and feasible.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"131 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":"122294680","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: 13
Internal sorting algorithm for large-scale data based on GPU-assisted 基于gpu辅助的大规模数据内部排序算法
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6758043
Liu Shenghui, Mao Junfeng, Che Nan
{"title":"Internal sorting algorithm for large-scale data based on GPU-assisted","authors":"Liu Shenghui, Mao Junfeng, Che Nan","doi":"10.1109/MIC.2013.6758043","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758043","url":null,"abstract":"This paper presents an internal sorting algorithm by GPU assisted. It consists of two algorithms: a GPU-based internal sorting algorithm and a CPU-based multi-way merging algorithm. The algorithm divided the large-scale data into multiple chunks to fit GPU global memory. Then copy the chunks to the GPU's global memory one by one, and sort them by GPU quicksort algorithm. Then we merge these sub-sequences to one sorted sequence by CPU. We use the loser tree algorithm to reduce the number of comparisons when merging. Finally, this algorithm is tested using a variety of data distribution. The experimental results show that our algorithm improves the efficiency of large-scale data sorting effectively.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"90 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114103947","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
Temperature control method for water-coal-mixture gasifier system based on fuzzy control rules optimized by PSO algorithm 基于PSO算法优化模糊控制规则的水煤混合气化炉系统温度控制方法
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6758082
Tianpei Zhou
{"title":"Temperature control method for water-coal-mixture gasifier system based on fuzzy control rules optimized by PSO algorithm","authors":"Tianpei Zhou","doi":"10.1109/MIC.2013.6758082","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758082","url":null,"abstract":"There have many problems such as multi-interference factors, large delay and difficult to establish accurate mathematical model in temperature control system of water-coal-mixture gasifier. The gasifier temperature control is general realized by fuzzy controller in traditional method, however, the temperature control effect is not very good because the performance of fuzzy controller is affected by many factors. Considering that particle swarm optimization (PSO) algorithm has simple operation and fast convergence, the coding of fuzzy rules are completed by defining an equivalent probability matrix, the appropriate objective function is selected as particle fitness function. Particles with higher fitness degree are obtained by iterative optimization, as the fuzzy control rule, which is applied to the gasifier temperature control. The results of application show the optimized control effect is much better than the original fuzzy controller in the rapidity despite the loss in the stability, to achieve optimal control.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"8 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":"114156406","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 testing and equivalent calculation of electromagnetic shielding effectiveness of metal fiber blended fabrics 金属纤维混纺织物电磁屏蔽效能的测试与等效计算
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6758235
Junfeng Cai, Zhaolong Xuan, Hongbo Liu
{"title":"The testing and equivalent calculation of electromagnetic shielding effectiveness of metal fiber blended fabrics","authors":"Junfeng Cai, Zhaolong Xuan, Hongbo Liu","doi":"10.1109/MIC.2013.6758235","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758235","url":null,"abstract":"The electromagnetic shielding effectiveness test of the flange coaxial method was established and the shielding effectiveness of metal fiber blended fabrics with different metal fiber density were tested. The electromagnetic shielding effectiveness equivalent calculation formula of infinite wire mesh was deduced. According to the test result and the equivalent calculation result, it showed that the equivalent method to solve the electromagnetic shielding effectiveness of metal blended fabric material was feasible. The research conclusions can be a helpful tool for the composites design.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"47 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":"116097606","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
Classification of different types of partial discharge based on acoustic emission techniques 基于声发射技术的不同类型局部放电的分类
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6758155
Ziyun Li, Yancheng Li, Jinyang Du, Junguo Gao, Xiaohong Zhang, Tong Liu, Guoli Wang, Ruihai Li, Zhihong Liu, Jianying Wang
{"title":"Classification of different types of partial discharge based on acoustic emission techniques","authors":"Ziyun Li, Yancheng Li, Jinyang Du, Junguo Gao, Xiaohong Zhang, Tong Liu, Guoli Wang, Ruihai Li, Zhihong Liu, Jianying Wang","doi":"10.1109/MIC.2013.6758155","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758155","url":null,"abstract":"The major cause of failure of high voltage apparatuses is the presence of partial discharge in insulation structure. Different types of partial discharge existed in power apparatus, which will lead to breakdown of insulation. The purpose of the research work presented in this paper constitutes the issue of effective and efficient recognition of different types of partial discharges. First, partial discharge activity under AC is studied using acoustic emission technique. The wavelet technology is used to analyze acoustic signal caused by PD. Then a hybrid model which combined wavelet transform with wavelet network is proposed to classify and characteristic different types of signals. By using this method the surface, plane-plane, pin-plane, and floating discharge signal is classified effectively. Finally, to demonstrate the effectiveness of the proposed classified method, this study investigates its identification ability using 150 sets of acoustic signals generated by the PD model in insulation oil. The experiment results show that the proposed method is efficient and reliable.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":" 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113947272","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
One paper auto-generation algorithm for soldier occupational skill appraisal platform 本文研究了士兵职业技能评价平台的自动生成算法
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6757996
Dong Li, Longtao Wu
{"title":"One paper auto-generation algorithm for soldier occupational skill appraisal platform","authors":"Dong Li, Longtao Wu","doi":"10.1109/MIC.2013.6757996","DOIUrl":"https://doi.org/10.1109/MIC.2013.6757996","url":null,"abstract":"As the current soldier occupational skill appraisal platform is widely used in the troops, the paper quality problem needs to be solved as soon as possible. The article analyzed the paper difficulty distribution computing model, and then constructed models for the paper generating process, put forward an improved genetic algorithm. The new improved algorithm adopted sub-integer coding method and made some changes to the genetic operators. The result of simulation proved the validity of the algorithm, and the paper generated through the algorithm could satisfy the restrictions well.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"64 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":"123795093","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
Statistical analysis of chaotic stochastic properties based on the logistic map and Fibonacci sequence 基于logistic映射和斐波那契序列的混沌随机特性统计分析
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6758038
Dahua Song, Jiahui Liu, F. Wang
{"title":"Statistical analysis of chaotic stochastic properties based on the logistic map and Fibonacci sequence","authors":"Dahua Song, Jiahui Liu, F. Wang","doi":"10.1109/MIC.2013.6758038","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758038","url":null,"abstract":"The chaotic cryptosystems are widely researched in the scientific and technical fields. But the dynamical degradation is a hindrance to digital chaotic maps. In this paper, we present a detailed statistical analysis of the mixed chaotic series based on the logistic map and Fibonacci sequence, which convert the value of the logistic map into the integer number by Fibonacci sequence. The experimental results show that the mixed chaotic series have the desired dynamics and randomness with the range of (0, 256). It is the prevention and remedy to the dynamical degradation of chaotic maps. It can be applied to the chaotic cryptosystems and security communications.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"52 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":"122625468","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
A variable-weight combination forecasting model based on GM(1,1) model and RBF neural network 基于GM(1,1)模型和RBF神经网络的变权组合预测模型
Proceedings of 2013 2nd International Conference on Measurement, Information and Control Pub Date : 2013-08-01 DOI: 10.1109/MIC.2013.6758018
Yan Feng, Wang Jian-mei, Xu Hai-mei
{"title":"A variable-weight combination forecasting model based on GM(1,1) model and RBF neural network","authors":"Yan Feng, Wang Jian-mei, Xu Hai-mei","doi":"10.1109/MIC.2013.6758018","DOIUrl":"https://doi.org/10.1109/MIC.2013.6758018","url":null,"abstract":"A variable-weight combination forecasting model using the least square method is built for solving, which is based on grey GM(1,1) model and RBF neural network. With actual consumption data, these three models can be used to predict the monthly social total electricity demand of a year for the particular area respectively. Through comparing the actual load value with the prediction results obtained by different models, predicted value, the actual value graphical trend and relative error of the prediction results obtained in the three models are analyzed. The feasibility of three load forecasting models, which are applicable to 'small samples' object is discussed. In MATLAB simulation, using actual load data to predict, it's borne out that the outcome of the variable weight combination forecasting is better than the gray prediction method and RBF neural network prediction method and it is suitable for the selected region of the actual situation in the text.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"36 7-8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131450890","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
首页 上一页 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：604180095
Book学术官方微信