Haokuo Liu, Huiyue Zhang, Jiang Shao, Lihua Meng, Z. Bian
{"title":"Research on Remaining Life Prediction Method of Electric Actuator Based on Variational Mode Decomposition and Autoregressive Moving Average Model","authors":"Haokuo Liu, Huiyue Zhang, Jiang Shao, Lihua Meng, Z. Bian","doi":"10.1109/ICMTMA50254.2020.00031","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00031","url":null,"abstract":"Based on the method of variational mode decomposition, the fault feature of the electric actuator is extracted, and the degradation state of the whole life is modeled by the method of autoregressive moving average model, while the trend of degradation feature is predicted. This method is applied to the life prediction model of an electric actuator, and the total life of the actuator is obtained under the specified confidence level, which provides a reference for the health management of the electric actuator.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122282813","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}
Zijie Tian, Ruihan Sun, Xu Wang, Qi Wang, Jinpu Cai
{"title":"Study on the Improved Ac6 Algorithm Based on Table Constraints","authors":"Zijie Tian, Ruihan Sun, Xu Wang, Qi Wang, Jinpu Cai","doi":"10.1109/ICMTMA50254.2020.00143","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00143","url":null,"abstract":"Arc consistency (AC) series algorithm is a natural and simple method to deal with constraint satisfaction problem, and AC6 algorithm is the algorithm with optimal time and space complexity in the mainstream AC series algorithm. This article through to the AC6 algorithm data structure and complexity of time and research, this paper proposes a possible - if the storage constraints, support the list of values to add a constraints information storage, and then in the cycle of lookup failure again after traversal, can be directly out from the constraint support value list constraint relation information, thereby reducing the time constraints on finding the traversal. This paper analyzes this possibility and verifies its feasibility through cases and data. Experimental results show that this method can improve the time efficiency of the algorithm.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121107970","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":"Evaluation of Physical Education Based on Stochastic Simulation Algorithm","authors":"J. Qi, Jianzhu Hou","doi":"10.1109/ICMTMA50254.2020.00226","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00226","url":null,"abstract":"In the traditional teaching mode and method of public physical education practice in colleges and universities, the technical teaching and skill training of students with basic techniques and tactics as the main content, focusing on the unity and standardization of teaching forms, structures, contents, methods, assessments, evaluations, etc. Given the new goals and requirements given by national sports to college sports currently, the limitations and one-sidedness of the old teaching modes and methods have emerged. In view of the absoluteness of distinguishing superiority or inferiority in traditional sports teaching evaluations, and the inconsistency problem of multiple evaluation conclusions, an advantage evaluation method highlighting own strengths is established. In the evaluation, a stochastic simulation algorithm is used to determine the advantages of evaluation objects by calculating the superiority among the evaluation objects. The validity of the proposed method is verified by numerical examples, and the evaluation conclusion with probability information is obtained.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123115151","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":"Analysis on the Evaluation Model of the Teaching Effect of Innovation and Entrepreneurship Course Based on Big Data","authors":"Diao Aijun","doi":"10.1109/ICMTMA50254.2020.00184","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00184","url":null,"abstract":"In order to improve that effect of the teaching of the innovation and start-up course, through the analysis of the effect of the teaching of the innovative start-up course, the quantitative evaluation of the effect on the teaching of the innovative start-up course is realized, and a method for evaluating the effect of the innovation and start-up course teaching based on the big data analysis is put forward. To analyze the problems and countermeasures of the teaching of the innovation and start-up course. a large-data statistical average analysis model of the effect of building an innovative entrepreneurship course teaching is constructed, a sample regression analysis method is combined to carry out the high-effect data analysis on the teaching of the innovative start-up course, and the decision-making objective function of the effect evaluation on the teaching of the innovative start-up course is constructed, The quantitative regression analysis of the effect of the innovative start-up course teaching is carried out by adopting the method of convergence rule evaluation, and the large-data feature extraction and the relevance description are carried out in combination with the descriptive statistical analysis result. The statistical feature of the effect of the innovative start-up course teaching is applied to the pattern recognition and feature selection by means of the average mutual information clustering method, and the effect evaluation of the innovation and start-up course teaching based on the big data analysis is realized. The simulation results show that the confidence level of the effect evaluation is high, and the evaluation result is accurate and reliable.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"75 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114949839","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 Application of Artificial Intelligence in the Evaluation of Linear Thinking Mode of Chinese Piano Music","authors":"Zhichao Yu","doi":"10.1109/ICMTMA50254.2020.00146","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00146","url":null,"abstract":"Aiming at the problem of poor reliability of traditional thinking mode evaluation methods, the application of artificial intelligence in linear thinking mode evaluation of Chinese piano music was studied. Using artificial intelligence technology to extract the characteristics of Chinese piano music, according to the extracted characteristics to establish the evaluation index system of Chinese piano music linear thinking mode. The analytic hierarchy process (AHP) was used to determine the weight of each evaluation index, and the linear thinking mode was evaluated according to the principle of fuzzy mathematics.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133718924","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":"Detection and Recognition of Lung Nodules in Medical Images Using Chaotic Ant Colony Algorithm","authors":"Jinxia Li, Hong-bo Zhao, Yanni Yang","doi":"10.1109/ICMTMA50254.2020.00117","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00117","url":null,"abstract":"With the aggravation of air pollution, the frequent occurrence of foggy weather in our country, as well as the increasing number of smokers year by year, the incidence and mortality of lung cancer are increasing. Therefore, it is of great significance to detect and identify lung nodules from the thoracic area containing background and noise. In this paper, a lung nodule detection and recognition method combining the chaotic ant colony algorithm is proposed, which has effectively eliminated interferences such as cross-shaped and strip-shaped blood vessels and achieved accurate detection and recognition of lung nodules. The results show that under the premise of ensuring that the correct nodule is detected and recognized, the false positive rate has been reduced, and the algorithm has also achieved good convergence.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132030770","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}
Xie Guang-cheng, Ye Jun, Li Songnong, Zheng Ke, Zou Bo, Luo Kaibo, S. Hongliang
{"title":"Research on Evaluation Method of Communication Module Field Test Results Based on Analytic Hierarchy Process","authors":"Xie Guang-cheng, Ye Jun, Li Songnong, Zheng Ke, Zou Bo, Luo Kaibo, S. Hongliang","doi":"10.1109/ICMTMA50254.2020.00030","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00030","url":null,"abstract":"State Grid Corporation will conduct on-site testing before purchasing the power line carrier communication module. However, there is not a scientific and effective method to evaluate the field test results of carrier module, which leads to a certain quality risk in the field application of communication module. Based on the Analytic Hierarchy Process, this paper comprehensively analyzes the field test data of the communication module and obtains the evaluation results consistent with the actual application. This is of great significance for State Grid Corporation to reduce equipment quality risks and this is of great significance for State Grid Corporation to reduce equipment quality risk and build the smart grid.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114161218","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":"Water Masses Analysis Based on Ocean Thermohaline Reanalysis Data","authors":"Bao-qin Wu, Yan-Mao Yuan, Xian-De Zhu, Yun-Fan Wu","doi":"10.1109/ICMTMA50254.2020.00230","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00230","url":null,"abstract":"The water masses are relatively stable at large scales. The spatial structure characteristics of water masses can be used as the basis of the data evalution standards demonstration. In this paper, water mass analysis methods such as cluster analysis and discriminant analysis are used, and the basic characteristics of water mass in the demonstration area are analyzed seasonally based on the reanalysis data of more than 20 years ocean thermohaline. Thus, the distribution of several water masses in the selected area is established. The research results may provide theoretical support to the evalution standards demonstration of the marine thermohaline survey data.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114193750","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}
Yeyang Jiang, Li Zhu, Xing Liu, Cunrong Song, Xi Yang
{"title":"Research on Image Reconstruction Algorithm Based on Complex Analysis Method","authors":"Yeyang Jiang, Li Zhu, Xing Liu, Cunrong Song, Xi Yang","doi":"10.1109/ICMTMA50254.2020.00135","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00135","url":null,"abstract":"In order to improve the recognition ability of fuzzy sparse scattered feature distribution image, it is necessary to carry out spatial vision distributed reconstruction and image virtual reconstruction. A virtual reconstruction method of sparse scattered feature distribution image based on complex analysis method is proposed. The grid distribution model of sparse scattered feature distribution image is constructed, and the spatial information feature distributed reconstruction model of sparse scattered feature distribution image is carried out by using image sparse feature point extraction method. Combined with block feature detection and image segmentation method, the boundary region detection of sparse scattered feature distribution image is carried out, and the spatial visual distributed reconstruction model of sparse scattered feature distribution image is established. Combined with fuzzy structure reconstruction method, the image filtering and information fusion of sparse scattered feature distribution image are carried out. according to the texture and detail area of sparse scattered feature distribution image, the 3D texture structure and sparse evacuation scrambling point reconstruction of image are carried out, and the 3D reconstruction of image is carried out by complex analysis method, and the gray histogram of sparse scattered feature distribution image is reconstructed. Virtual reconstruction of sparse scattered feature distribution image is realized based on spatial vision distributed reconstruction. The simulation results show that the visual effect of virtual reconstruction of sparse scattered feature distribution image is better, and the quality of 3D image virtual reconstruction is higher.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133583189","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 the Application of Group Intelligence Technology in Network Public Opinion Monitoring and Communication System","authors":"Zhen Jinming, J. Zhifeng, Haiguang Huang","doi":"10.1109/ICMTMA50254.2020.00080","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00080","url":null,"abstract":"This paper studies the method of obtaining individual objective function from group objective function. It introduces a method of obtaining individual objective function from group objective function, and verifies it by applying this method to cluster integration. Then, we focus on the design and implementation of a network public opinion prediction system based on the group intelligent emergence method, and analyze the group objective function and individual objective function suitable for the network public opinion prediction task, and also improve the calculation of individual objective function and the strategy of individual recommendation message according to the group evolution process. Through the evolution of the simulation group, several messages about the value of the simulation group are finally obtained. The simulations verify that these messages are the predictions that the real network groups are likely to pay the most attention to.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"213 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121721740","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}