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2010 International Conference on Intelligent Computation Technology and Automation最新文献

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Research on Automobile ABS Detection Based on Alterable Adhesion Coefficient 基于可变附着系数的汽车ABS检测研究
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.55
Zhang Libin, Su Jian, Shan Hongying, Su Lili, Shan Hongmei
{"title":"Research on Automobile ABS Detection Based on Alterable Adhesion Coefficient","authors":"Zhang Libin, Su Jian, Shan Hongying, Su Lili, Shan Hongmei","doi":"10.1109/ICICTA.2010.55","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.55","url":null,"abstract":"The latest research of automobile ABS detection is devoted to create the test site with a special mix adhesion road, there is not currently a practical method of detection and performance evaluation for automobile ABS device, however ABS detection is an important one of automobile comprehensive performance detection, so the ABS detection method is researched on based on test-bed in the paper. The paper puts forward the method of stepless electricity simulation of the automobile inertia mass on the base of test-bed, and sets up mathematical model of that, then design the fuzzy control system of automobile test-bed, finally pointing to the method of electricity simulation, make a compare analysis to practical experiment data from the test site by SIMULINK simulation language.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"23 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115632737","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
Analysis of the Regional Characteristics and Container Throughput Forecast Model of the Three Major Port Cities 三大港口城市区域特征分析及集装箱吞吐量预测模型
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.424
Xiaoming Yang, Ziqi Xu, Fan Shu
{"title":"Analysis of the Regional Characteristics and Container Throughput Forecast Model of the Three Major Port Cities","authors":"Xiaoming Yang, Ziqi Xu, Fan Shu","doi":"10.1109/ICICTA.2010.424","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.424","url":null,"abstract":"This article processes some related statistical data of the three major port cities in China, and analysis of the regional characteristics of the port cities, introduce and compare the commonly used prediction model for container port throughput, through concrete examples to verify the prediction precisions of regression analysis model and neural network model, combined with the regional characteristics of the three major port cities to set up the corresponding regression analysis models.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115635276","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
An Optimal Control Problem of Adaptive Fuzzy Controllers for Fuzzy Control Systems 模糊控制系统自适应模糊控制器的最优控制问题
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.583
Gang Liu, Jinghua Han, Yu-Bin Wu, Meijiao Liu
{"title":"An Optimal Control Problem of Adaptive Fuzzy Controllers for Fuzzy Control Systems","authors":"Gang Liu, Jinghua Han, Yu-Bin Wu, Meijiao Liu","doi":"10.1109/ICICTA.2010.583","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.583","url":null,"abstract":"Advances in nonlinear control theory have provided the mathematical foundations necessary to establish conditions for stability of adaptive fuzzy controllers. In this paper, we dedicate to fuzzy control systems with the use of Popov’s hyper-stability theory. We present a stability analysis method which provides useful information to the development of fuzzy control systems and give a comparative analysis between the adaptive fuzzy techniques and some conventional adaptive control techniques. Furthermore, we display the presence of random disturbances in the control process in order to demonstrate the validity of the hybrid modeling dynamically and determine the optimal admission policies. Meanwhile, a new mathematical model is proposed to solve the optimal problem based on computational granular framework and fuzzy partitions of involved variables, automatic fuzzy hypotheses generation and testing.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115642309","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
Study on Dynamics Simulation for Vehicle Steering Maneuverability 车辆转向机动性动力学仿真研究
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.644
Shanzhen Xu, Taoping Yan
{"title":"Study on Dynamics Simulation for Vehicle Steering Maneuverability","authors":"Shanzhen Xu, Taoping Yan","doi":"10.1109/ICICTA.2010.644","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.644","url":null,"abstract":"The complete vehicle virtual prototype was established to study the steering maneuverability of light truck based on the dynamics theory of multi-body system and on platform of ADAMS. Virtual test was completed according to the vehicle steering and maneuverability test method. And the virtual test was validated by the actual vehicle test.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115652412","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
Forecasting Model of Irrigation Water Requirement Based on Least Squares Support Vector Machine 基于最小二乘支持向量机的灌溉需水量预测模型
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.91
Fang Xie, D. Tang
{"title":"Forecasting Model of Irrigation Water Requirement Based on Least Squares Support Vector Machine","authors":"Fang Xie, D. Tang","doi":"10.1109/ICICTA.2010.91","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.91","url":null,"abstract":"The irrigation water requirement forecasting is the basis for making scheduling program of water resource and allocating on water in irrigation area rationally and efficiently. The factors influencing the irrigation water are complex and nonlinear, and support vector machine (SVM) has many advantages on nonlinear small samples, therefore, this paper introduces SVM into forecasting irrigation water requirement and proposes a forecasting model of irrigation water requirement based on least squares support vector machine (LS-SVM). Then the forecasting model is applied to estimate the irrigation water requirement of T irrigation area in Tarim River Basin, and is compared with BP artificial neural network (BPANN). The result indicates that the forecasting model based on LS-SVM has an excellent generalization ability and small error. LS-SVM provides an effective method to forecast irrigation water requirement.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827913","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
Classification of Metallogenic Favourability Degree Using Support Vector Machines 基于支持向量机的成矿有利度分类
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.16
Chunming Wu, Xinbiao Lv, Xiaofeng Cao, Yalong Mo, Jiang Zhu
{"title":"Classification of Metallogenic Favourability Degree Using Support Vector Machines","authors":"Chunming Wu, Xinbiao Lv, Xiaofeng Cao, Yalong Mo, Jiang Zhu","doi":"10.1109/ICICTA.2010.16","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.16","url":null,"abstract":"Support vector machines (SVMs) have become very popular as methods for learning from examples, which are powerful tools used to solve the problem characterized by small sample, nonlinearity, and high dimension with a good generalization performance based on structural risk minimization. The paper discusses the support vector classification algorithm in some detail and describes a SVMs based-system that learns from examples to classify metallogenic probability of copper ore. The experimental results show that support vector classification has high recognition rates and good generalization performance for small sample and suggest that SVMs are promising methods for classification of metallogenicl favourability degree.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115842025","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
Stability of BAM Type Cohen-Grossberg Neural Networks with Distributed Delays on Time Scales 时间尺度上具有分布延迟的BAM型Cohen-Grossberg神经网络的稳定性
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.268
Chaolong Zhang, Fengjian Yang, Wei Li, Xinming Chen
{"title":"Stability of BAM Type Cohen-Grossberg Neural Networks with Distributed Delays on Time Scales","authors":"Chaolong Zhang, Fengjian Yang, Wei Li, Xinming Chen","doi":"10.1109/ICICTA.2010.268","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.268","url":null,"abstract":"In this paper, a class of BAM type Cohen-Grossberg neural networks with distributed delays are investigated. Some sufficient conditions about exponential stability of the distributed delays dynamic systems are obtained on time scales. The results extend and improve some recent works for neural networks with no impulses.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115877945","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
Signal Processing Method for Arc Sensor 电弧传感器的信号处理方法
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.550
Jian-xiong Ye, Ping Liu, Hong-xing Wang, Yi Yin
{"title":"Signal Processing Method for Arc Sensor","authors":"Jian-xiong Ye, Ping Liu, Hong-xing Wang, Yi Yin","doi":"10.1109/ICICTA.2010.550","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.550","url":null,"abstract":"Signal process method is very important in welding automation and arc sensor is a kind of welding-sensor which works on the relationship between welding current and arc length. The using of Wavelet transform (WT) for detecting of welding gun slop with arc sensor is discussed in this paper. Sensor structure is introduced at first, and then Wavelet transform (WT) is induced into its signal processing for reason of strong interference during welding process, conclusions can be drawn on the basis of large amount tests that WT is feasible and effective here in spite of strong interference.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124093172","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
Gearbox Diagnosis Based on N4SID Subspace Method 基于N4SID子空间方法的齿轮箱诊断
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.455
Jin Haiwei, Y. Haitao, Liu Dong
{"title":"Gearbox Diagnosis Based on N4SID Subspace Method","authors":"Jin Haiwei, Y. Haitao, Liu Dong","doi":"10.1109/ICICTA.2010.455","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.455","url":null,"abstract":"Gearbox is a kind of complex mechanical configuration; the recent methods can’t completely represent the system characteristic of gearbox. So the paper put forward a gearbox modeling method based on N4SID model. It analyzed gearbox state from the angle of system interior description and diagnosed. It improved from result that the method can diagnose sorts of gearbox faults accurately. The method has great significance for gearbox modeling method and diagnosis technology.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124570131","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 Subsiding Predict of Soft Soil Ground Based on Immune Genetic Algorithm 基于免疫遗传算法的软土地基沉降预测
2010 International Conference on Intelligent Computation Technology and Automation Pub Date : 2010-05-11 DOI: 10.1109/ICICTA.2010.797
Jingyimei Liang, Xingyan Cheng
{"title":"The Subsiding Predict of Soft Soil Ground Based on Immune Genetic Algorithm","authors":"Jingyimei Liang, Xingyan Cheng","doi":"10.1109/ICICTA.2010.797","DOIUrl":"https://doi.org/10.1109/ICICTA.2010.797","url":null,"abstract":"The subsiding predicts of soft soil ground is one question that must be solved in the course to control ground subsiding in the soft soil area, against analytic method is a very effective method to solve this question, the most frequently used against analytic method is optimizing method. This paper introduced the immune genetic algorithm based on immune mechanism to the subsiding predict calculation of soft soil ground, and carry on corresponding improvement to the hereditary tactics of immune genetic algorithm, so made the immune genetic algorithm and the subsiding predict problem of soft soil ground to combine organically. Through the calculation of instance, it is proved that the immune genetic algorithm improved the speed and precision to solve the subsiding predict problem of soft soil ground.","PeriodicalId":418904,"journal":{"name":"2010 International Conference on Intelligent Computation Technology and Automation","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124581294","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
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