{"title":"Research on the intelligent protection system of coal conveyor belt","authors":"Yingxi Xu, Xiaojing Hou, Chuan-bao Li","doi":"10.1109/ICAL.2012.6308233","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308233","url":null,"abstract":"A sort of intelligent protection system for conveyor belt was designed, which mainly aimed at the phenomenon of belt slipped, belt broken, overloaded and coupling broken etc. It was designed by using intelligent instrument, monitoring software and fault detection technology, furthermore, the software and hardware were described. The protection system can automatically detect, diagnose corresponding fault, and give alarm signal with sound and light to stop the fault belt machine in due course. The application effect has proved that the protection system can improve intelligent degree of the whole burning coal transport and reduce the manual greatly and save a lot of funds for enterprise.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122903543","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":"Stochastic H∞ filtering for pantograph systems with state-dependent noise","authors":"Yulin Huang, Zhiguo Yan, Hongyun Zheng","doi":"10.1109/ICAL.2012.6308149","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308149","url":null,"abstract":"This paper investigates the infinite horizon H∞ filtering problem for stochastic pantograph systems governed by Ito stochastic linear differential equation. First, a sufficient condition for asymptotic mean-square stability of pantograph systems is presented by means of Lyapunov approach. Then, based on matrix inequalities, the H∞ filtering problem for this kind of systems is studied and a sufficient condition for the existence of the H∞ filter is derived. Finally, an example is given to illustrate the results.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122051870","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":"Grasp planning of 3D objects using genetic algorithm","authors":"Zichen Zhang, J. Gu","doi":"10.1109/ICAL.2012.6308157","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308157","url":null,"abstract":"In this paper, we apply genetic algorithm (GA) to the optimization problem in grasp planning. This method can be used to find “pregrasps” for 3D objects in arbitrary shape and different dexterous hands, which serve as the first step of a complete grasping action. Each component of the GA planner is discussed in detail. The proposed algorithm is implemented in GraspIt! simulator [1]. It is tested on different hand-object combinations and the result shows that genetic algorithm is effective in finding high-quality pregrasps.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121549078","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}
Zhe Sun, Baopu Li, Ran Zhou, Huimin Zheng, M. Meng
{"title":"Removal of non-informative frames for wireless capsule endoscopy video segmentation","authors":"Zhe Sun, Baopu Li, Ran Zhou, Huimin Zheng, M. Meng","doi":"10.1109/ICAL.2012.6308214","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308214","url":null,"abstract":"Wireless capsule endoscopy (WCE) video segmentation plays an important part in WCE automatic diagnosis since it provides an effective method to help physicians and save time. In the automatic WCE video segmentation process, impurities frames with opaque digestive juice, food residues and excrement not only waste plentiful time, but also cause a lower accuracy of segmentation for its variation of color and pattern. The major impurities which have great affection for WCE video segmentation can be divided into two categories, gastric juice and bubbles. Thus, in this paper, a novel two-stage preprocessing approach is proposed to remove impurities frames in WCE videos. In the first stage, frames of gastric juice are eliminated by using local HS histogram features. In the second stage, a new approach is carried out to remove the bubbles frames in the WCE video, which combines Color Local Binary Patterns (CLBP) algorithm with Discrete Cosine Transform (DCT). K-Nearest Neighbor (KNN) classifier is used in both stages for its rapidity. Experiments demonstrate that the proposed scheme is an effective approach for removing non-informative frames in WCE video and the accuracies of each stage can reach as high as 99.31% and 97.54% respectively.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116180995","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":"Study on gravitation between international inland-port and harbor","authors":"Chen-Chen Gou, Yuzhe Liu, Chengxi Ding","doi":"10.1109/ICAL.2012.6308256","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308256","url":null,"abstract":"International Inland-port, as the new product of modern logistics development, which plays the function of the ligament to connect the inland areas with the international markets. In the process of International Inland-port construction and operation, it is a key problem for International Inland-port development and is also the basic point of this paper to choose right cooperative harbor and realize their linkage development. This paper established foreign trade logistics gravitation model of the inland city and the harbor, with the study of a network in forms of 20 optional cities of International Inland-port node and 8 harbors, using the social network analysis and Ucinet software for its quantitative analysis, and it worked out the first choice of cities and their alternative cooperative harbor for establishing our International Inland-port.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121306557","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":"Estimations of bounds for brushless direct current motor system and its application in chaos synchronization","authors":"Jigui Jian, Yanjun Shen","doi":"10.1109/ICAL.2012.6308187","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308187","url":null,"abstract":"This paper is concerned with globally exponentially attractive sets and synchronization controlling for brushless direct current motor system. Based on generalized Lyapunov functions theory, a ellipsoid estimation and a cylindrical domain estimation of the globally exponentially attractive set are derived for brushless direct current motor system. Furthermore, the estimations derived here contain the results given in as special cases. In addition, linear feedback control with single state or single input is proposed to realize the globally exponential synchronization of two brushless direct current motor systems via inequality techniques. Some sufficient algebraic criteria for the globally exponential synchronization of two chaotic systems are obtained analytically. The controllers here designed have simple structure and less conservation. Numerical simulations are presented to show the effectiveness of the method.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128398840","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":"Motor rotor resistance identification based on Elman neural network","authors":"B. Fan, Xing Li, Guanghui Shi, Weigang Zhao","doi":"10.1109/ICAL.2012.6308196","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308196","url":null,"abstract":"Motor parameter identification is problem must be faced by high performance variable frequency speed adjustment system include Vector Control. Explore new effective parameter identification method possess vast theoretical and practical meanings. Motor's mathematical model has the character of high order, nonlinear and complicate coupling, the parameter change with the work state is difficult to describe with a definite function. Rotor resistance is identified with Elman neural network which has the ability of function approximation and unique feedback. The simulation result is validated by the parameter obtained with other methods and shows some advantages. It has some reference meaning to more extend motor parameter identification.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128613043","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}
Xiaojuan Han, Fangyuan Meng, Zhihui Song, Xiangjun Li
{"title":"Short-term prediction of wind power combining GM(1,1) model with cloud model","authors":"Xiaojuan Han, Fangyuan Meng, Zhihui Song, Xiangjun Li","doi":"10.1109/ICAL.2012.6308195","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308195","url":null,"abstract":"This paper proposes a new method to predict wind power of wind farm using the combination of GM(1,1) model and cloud model. The original wind power signals are decomposed into high frequency part and low frequency part by wavelet decomposition. Cloud model is constructed to predict wind power of high frequency part and GM(1,1) model is used to predict wind power of low frequency part. The predicted power can be obtained by high frequency part and low frequency part. The simulation example shows that the method proposed in this paper is obviously better than single predicting method and the effectiveness of the method is verified by the predicting results.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134292990","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":"Positive realness and optimality problems for linear systems via dynamic compensation","authors":"Lei Liu, Ying Yang, Guoshan Zhang","doi":"10.1109/ICAL.2012.6308179","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308179","url":null,"abstract":"The inverse linear quadratic (LQ) optimal problem based on dynamic compensation is considered in this paper. First a dynamic compensator with a proper dynamic order is given such that the closed-loop system is asymptotically stable and Extended Strictly Positive Real (ESPR) in terms of Bilinear Matrix Inequality (BMI). In this case, a sufficient condition for the existence of the optimal solution is presented. Then the weight matrices of the linear quadratic performance index are derived to be parameterized expressions. In order to solve the inverse optimal control problem, an algorithm to the minimization problem with the BMI constraint is proposed based on path-following algorithm, in which an optimal dynamic compensator and the weight matrices of the linear quadratic performance index can be obtained. Finally, several numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed results.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128960020","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}
Xubin Sun, Yue Zhang, Gao-You Qin, Hai-rong Dong, F. Guan
{"title":"Pedestrian transfer time optimization of urban rail transit based on ACP approach","authors":"Xubin Sun, Yue Zhang, Gao-You Qin, Hai-rong Dong, F. Guan","doi":"10.1109/ICAL.2012.6308176","DOIUrl":"https://doi.org/10.1109/ICAL.2012.6308176","url":null,"abstract":"This paper investigates the coordination of two subway lines with computational experiments based on ACP approach. The arriving interval of the two subway lines at the transfer station is optimized, making the average transfer time shortest. Firstly, the subway station artificial system is established, where the pedestrians are modeled using social force model. Secondly, computational experiments are executed in a transfer station taking train arrival interval of two subway lines as optimization variable. Optimal arrival interval is obtained which makes the average transfer time shortest. Finally, further computational experiments are made considering pedestrian characteristics, including pedestrian velocity and density. The average transfer time can be reduced by 7.91%, using the optimal train arrival interval of two subway lines. Pedestrian transfer time optimization is an efficient way to relieve subway congestion and improve coordination of subway lines.","PeriodicalId":373152,"journal":{"name":"2012 IEEE International Conference on Automation and Logistics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128766160","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}