{"title":"Retraction Notice: Seismic Signal Analysis and System Development Based on WaveletAnalysis","authors":"F. Yong-kai, W. Chunhai","doi":"10.2174/1874444301608010005","DOIUrl":"https://doi.org/10.2174/1874444301608010005","url":null,"abstract":"","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128225684","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":"Retraction Notice: Virtual Laboratory Construction of College Computer Hardware CourseGroup","authors":"W. Haiyan","doi":"10.2174/1874444301608010004","DOIUrl":"https://doi.org/10.2174/1874444301608010004","url":null,"abstract":"","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"os-10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127689939","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":"Retraction Notice: A New Algorithm for the Shortest Path of Touring Disjoint ConvexPolygons","authors":"W. Lijuan, Jiang Bo, Deng Ansheng, Wei Qi","doi":"10.2174/1874444301608010002","DOIUrl":"https://doi.org/10.2174/1874444301608010002","url":null,"abstract":"","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134640785","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}
Yang Xiaolan, Liu Jifeng, Zhang Luo-ming, Wang Zhijin
{"title":"Retraction Note: Research and Development of Two Pendulums Vibration Exciter in Vibration Mill","authors":"Yang Xiaolan, Liu Jifeng, Zhang Luo-ming, Wang Zhijin","doi":"10.2174/1874444301507011039","DOIUrl":"https://doi.org/10.2174/1874444301507011039","url":null,"abstract":"To overcome the bottlenecks of powder agglomeration and un-refinement in the ultrafine grinding technology, a two pendulums vibration exciter is designed. Based on the double masses vibration theory, the angel between the two pendulums is adjusted to produce a continuously changing exciting force, which can form high transient vibration intensity and large amplitude. Their transient maximums are 18 and 16 mm respectively. It can effectively deal with powder agglomeration and anti-powder. Therefore, the grinding efficiency is improved. Achievements have been obtained that the output size of diamond particles has reached d(50)≤0.27 μm, but the input size is d(50)≤10 μm. In addition, the two pendulums spindle strength is checked. Its strength is completely satisfied in the applications.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125526340","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":"Application of Research on Decision Tree Algorithm for Sports GradeAnalysis","authors":"Zhu Lini","doi":"10.2174/1874444301507012300","DOIUrl":"https://doi.org/10.2174/1874444301507012300","url":null,"abstract":"","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128586935","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":"Mapping Submarine Landslide: A Case Study in Northern Continental Slope of the South China Sea","authors":"T. Su, Xishuang Li, Jiagang Li, Lejun Liu","doi":"10.2174/1874444301507012293","DOIUrl":"https://doi.org/10.2174/1874444301507012293","url":null,"abstract":"Geographical Information Systems is a useful tool for marine geohazard mapping. This paper describes an integrated and systematic map-based approach for identification and characterization of submarine landslide with multidisciplinary data such as multibeam bathymetric data, multichannel seismic data, sidescan sonar and so on. Taking Liwan 31 gas field in northern continental slope of Southern China Sea as a case study, a regional database is established to provide convenient services to manage search and extract the target data for geohazard mapping and identification. Bathymetric map and seismo-geomorphologic map are calculated and produced with GIS to establish an elementary understanding of geomorphologic features. With this integrated approach, dozens of landslides are identified in the study area and they are featured as small and multiple superimposed failure scars. Fundamental information of landslides can also be provided for further detail interpretation, quantification and assessment of their mechanism and potential risks.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127867168","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":"Estimating the Tire-Road Friction Coefficient Using Disturbance Observerwith Compensator","authors":"Ming Liu, Xuewen Rong, Yibin Li, Yanfang Yin","doi":"10.2174/1874444301507012286","DOIUrl":"https://doi.org/10.2174/1874444301507012286","url":null,"abstract":"The tire-road friction coefficient is critical to the performance of mobile robots working outdoors. However, it is difficult to measure using commercially available technology sensors. This paper presents a method of estimating the tire-road friction coefficient using a disturbance observer (DO) with compensator; the chassis speed is not needed. In this paper, the torque produced by the tire-road friction is considered to be the disturbance. The DO with compensator is de- signed to estimate the tire-road friction coefficient using the dynamic behavior of the vehicle model, the traction torque and the wheel velocity. The simulation result shows that the proposed method can estimate the tire-road friction coeffi- cient accurately under different road conditions and has strong robustness on modeling mismatch and vehicle load chang- ing.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128100200","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":"Data Mining Model Based on the Improved BP Neural Network Algorithm","authors":"Shu-Fan Lin, Siriguleng Zheng, S. Peng","doi":"10.2174/1874444301507012268","DOIUrl":"https://doi.org/10.2174/1874444301507012268","url":null,"abstract":"A data mining algorithm based on fuzzy FKM algorithm and BP was proposed to solve the problem of long training time and low efficiency when the sample data contains the attributes unrelated to target data. The attributes of in- put data was clustered by using FKM clustering algorithm, and the attributes with weak correlation to target data were abandoned, and then there remain the attributes with strong correlation to target data, which reduce the training samples of neural network, and improving the training efficiency of the network. Tests on forecasting the content of Hemoglobin in the body of children show that the proposed algorithm is very practicable and reliable.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116845711","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 Improved Distributed Association Rules Mining Algorithm inHadoop Cloud Platform","authors":"Fenghua Liu","doi":"10.2174/1874444301507012273","DOIUrl":"https://doi.org/10.2174/1874444301507012273","url":null,"abstract":"In this paper, data mining of association rules, data mining of association rules on distributed databases and dis- tributed encrpytion techniques are introduced. Secondly, existing algorithms of data mining of association rules on dis- tributed databases are analyzed in detail, and then they are improved on aspects of efficiency and security, whereafter the algorithm of EP_ DMA is proposed, later some examples are given and then the merit of EP_DMA can be seen. Finally, a frame of system of distributed mining of Association Rules based on EP_DMA is proposed.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128706926","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}