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2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)最新文献

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A Smart Boring Bar for Compensation of Radial Deformation during Machining 一种补偿加工过程中径向变形的智能镗杆
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00010
Z. Hongwei, Liu Shuyao, Liu Zhibing, Teng Longlong, Shen Wenhua
{"title":"A Smart Boring Bar for Compensation of Radial Deformation during Machining","authors":"Z. Hongwei, Liu Shuyao, Liu Zhibing, Teng Longlong, Shen Wenhua","doi":"10.1109/ICMTMA50254.2020.00010","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00010","url":null,"abstract":"Holes with a length-to-diameter ratio larger than 10 are usually defined as deep holes. As an important structure, the shape error of the deep holes structure has a great influence on the performance of the parts. Boring is an important process of deep hole machining. However, in the process of deep hole boring, the high overhang and weak stiffness of the boring bar lead to the deformation and vibration of the boring bar in the process, which easily causes large shape errors and difficult to meet the accuracy requirements. Intelligent machining based on compensation technique is a good way to solve this problem. This paper designed a smart boring bar which can detect radial deformation and compensate it in real time during machining. The device included radial deformation detection module, information processing module and feedback execution module. The photoelectric position sensor was used to measure the radial deformation of boring bar and give signal to information processing module, the information processing module processed and calculated the information from the information detection module, and got feedback pulse signals to feedback execution module, feedback execution module of the stepper motor received the pulse signal to drive the cam rotation, so as to adjust the position of the blade, completed the boring bar radial deformation compensation. In this way reduce the shape error in the machining process, the machining precision is improved, thus improved the service performance and life of the parts.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"110 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":"115731912","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
Research on Evaluation Methods of Ocean Thermohaline Survey Data 海洋温盐测量资料评价方法研究
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00237
Bao-qin Wu, Yuhong Liu, Yun-Fan Wu, Xian-De Zhu
{"title":"Research on Evaluation Methods of Ocean Thermohaline Survey Data","authors":"Bao-qin Wu, Yuhong Liu, Yun-Fan Wu, Xian-De Zhu","doi":"10.1109/ICMTMA50254.2020.00237","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00237","url":null,"abstract":"The marine thermohaline survey data is the base of ocean rule analysis. The data quality directly determines the benefit of application. This article builds feature quantity extraction on the basis of the previous marine thermohaline survey data evaluation standards, and carries out a research on the assessment methods of marine thermohaline survey data. From the perspective of the completeness, consistency, authenticity and accuracy of the data, the research on inspection and evaluation methods for each characteristic is carried out. The evalution methods may provide theoretical support to process design of evalution standards.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"26 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":"114770808","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
Research on the Collection of Microcosmic Warning Indicators of Systematic Financial Risk Based on Big Data 基于大数据的系统性金融风险微观预警指标采集研究
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00202
Xin Wang
{"title":"Research on the Collection of Microcosmic Warning Indicators of Systematic Financial Risk Based on Big Data","authors":"Xin Wang","doi":"10.1109/ICMTMA50254.2020.00202","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00202","url":null,"abstract":"In the process of acquiring relevant early-warning index data, the collection efficiency of microcosmic early-warning index of financial risk is low due to the slow speed of data processing. To this end, a method of collecting microcosmic early warning index of systemic financial risk based on big data is proposed. Determine the principle of early warning of systemic financial risk, use big data technology to obtain systematic financial risk data, and establish the corresponding hierarchical structure. For each indicator of different hierarchical structure, membership degree is calculated, and the weight of warning indicator is finally determined, so as to complete the design of collecting method of micro warning indicator of systemic financial risk based on big data. Through comparative experiments, the proposed method has faster data processing speed and can improve the efficiency of collecting micro-warning indicators of systemic financial risks.","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":"127338186","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
Question Answering Model Based on Graph Knowledge and Entity Recognition 基于图知识和实体识别的问答模型
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00129
Shuya Ren, Hong Li
{"title":"Question Answering Model Based on Graph Knowledge and Entity Recognition","authors":"Shuya Ren, Hong Li","doi":"10.1109/ICMTMA50254.2020.00129","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00129","url":null,"abstract":"With information increasing dramatically, how to make computers answer automatically and accurately questions, such as \" What is the theme of Schindler 's List\", has been becoming a hot research topic. However, the profoundness of language and culture often results in the problem with many forms of expression, which brings great challenges to our research. To overcome these difficulties, we use a triple form (subject, relational, object) to represent a fact and store it in the graph database for generating a large multi-relational graph. Among all kinds of questions raised by users, we only need to identify accurately the problem subject and map it to the graph database. For the returned series of candidate relationships, the relationship with the highest similarity to the problem pattern is calculated and the final answer can be obtained. The model includes two parts: entity identification and relationship prediction. In order to improve the accuracy of entity recognition, a BERT-based Sentence vector training and BiLSTM-CRF annotation entity recognition method are proposed.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"1 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":"127598140","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
The Data Mining Design and Application System for Urban Insurance Business 城市保险业务数据挖掘设计与应用系统
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00176
Jin Li
{"title":"The Data Mining Design and Application System for Urban Insurance Business","authors":"Jin Li","doi":"10.1109/ICMTMA50254.2020.00176","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00176","url":null,"abstract":"Based on the medical insurance data of the information management system database of a city's social security bureau, this paper designs and implements the data warehouse, online analysis, data mining technology and related software. First, based on the understanding of the business of medical insurance, this paper studies the building of data warehouse by basic algorithms of data mining such as decision tree and neural network, and establishes the analysis theme and organization data according to the characteristics of the city's medical social insurance. Secondly, the online analysis model is established to realize the online analysis and show the results. Then, using data mining clustering analysis algorithm, it constructs data mining model and mining the model. This paper also analyzes the influence of multiple attributes of insured individuals and enterprise scale on the use of basic medical insurance accounts and the degree of influence. The results are interpreted to reflect the hidden relationship between the data. Finally, combining with the development of the existing urban basic medical insurance industry, the paper puts forward suggestions to improve the basic medical insurance.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"6 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":"124235755","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
Pso Optimization of Ladrc for the Stabilization of a Quad-Rotor 四旋翼飞行器稳定的Ladrc粒子群优化
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00100
Baomei Xu, Zhixin Cheng, Rui Zhang, Changhong Gong, Linhao Huang
{"title":"Pso Optimization of Ladrc for the Stabilization of a Quad-Rotor","authors":"Baomei Xu, Zhixin Cheng, Rui Zhang, Changhong Gong, Linhao Huang","doi":"10.1109/ICMTMA50254.2020.00100","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00100","url":null,"abstract":"The quad-rotor is an under-actuated, strong coupled nonlinear system with many parameters, and the method of tuning them is very tough. For the sake of the stabilization of a quad-rotor, we propose the use of Particle Swarm Optimization (PSO) algorithm for tuning Linear Active Disturbance Rejection Control (LADRC) which is applied for the stabilization of a quad-rotor model. It is demonstrated that LADRC based on PSO algorithm has better flexibility, adaptability and robustness than that of trial and error method to determine parameters, and can improve the accuracy of the control system.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"19 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":"123703184","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: 5
A Self-Evolution Fault Diagnosis Method of Sucker Rod Pump Based on Simulating Dynamometer Card 基于模拟测功卡的有杆泵自进化故障诊断方法
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00009
L. Xiaoxiao, Wang Hanxiang
{"title":"A Self-Evolution Fault Diagnosis Method of Sucker Rod Pump Based on Simulating Dynamometer Card","authors":"L. Xiaoxiao, Wang Hanxiang","doi":"10.1109/ICMTMA50254.2020.00009","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00009","url":null,"abstract":"The dynamometer card (DC) combined with computer-aided intelligent diagnosis technology (pattern recognition) is an essential and useful means to monitor and diagnose working conditions of oil wells. However, the difficulty to collect the faulty DC album and the property differences between wells results in the decrease of diagnosis accuracy. In this paper, a novel approach regarding generating DCs is proposed based on the analysis of the mechanism of a sucker rod pump at normal and several faulty scenarios. According to the simulating DCs and Back Propagation Neural Network (BPNN), a self-evolution diagnosis method is presented to obtain higher diagnosis accuracy. The results of field application show that the average accuracy of the self evolution diagnosis method is improved from 84.6% to 93.1% compared with the original diagnosis method. And the new method is more effective for oil wells with high pumping speed or containing flexible sucker rods.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"71 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":"123175225","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
Design and Implement of FIR Filter Based on CCS and FDAtool 基于CCS和FDAtool的FIR滤波器的设计与实现
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/icmtma50254.2020.00018
Lihong Yan, Jianxin Wang, Shanwu Cao, Juanwei Chen, Xinru Pu
{"title":"Design and Implement of FIR Filter Based on CCS and FDAtool","authors":"Lihong Yan, Jianxin Wang, Shanwu Cao, Juanwei Chen, Xinru Pu","doi":"10.1109/icmtma50254.2020.00018","DOIUrl":"https://doi.org/10.1109/icmtma50254.2020.00018","url":null,"abstract":"In order to solve the problem that the digital signal system processing is complicated in setting the system parameters, the paper proposes a method for setting the system filter coefficients based on the combination of CCS and FDAtool. The method mainly uses FDAtool is to have the characteristics of graphic visualization, simple and fast analysis of the system frequency spectrum. By analyzing the FIR filter structure, the system filter coefficients are designed. At the same time, the DSPF28335 chip with fast real-time signal processing, which was used to analyze the system signal processing in CCS environment. The design results show that the combination of FDAtool and CCS can seamlessly perform signal processing, meanwhile, the interface has GUI functions and can to achieve the purpose of real-time analysis system.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"58 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":"131486824","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
Efficient Selection of Visual Features in Automatic Image Retrieval 自动图像检索中视觉特征的有效选择
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00086
Jie Zhao, Chunmei Zhang, F. Yao
{"title":"Efficient Selection of Visual Features in Automatic Image Retrieval","authors":"Jie Zhao, Chunmei Zhang, F. Yao","doi":"10.1109/ICMTMA50254.2020.00086","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00086","url":null,"abstract":"Feature selection is a process of finding an optimal subset of features from the original features set. It could solve the problem of the dimension disaster caused by high-dimensional features, which seriously affects the efficiency of the content-based image retrieval. This paper presents a method for generating an efficient feature reduction method of visual features with neighborhood rough set. By introducing the upper and lower approximation definition of neighborhood rough set, we calculate the approximation information to measure the relevance of the visual features. When the attributes of visual features are reduced and the rest of features can correctly describe the context of the images, the efficiency of the image retrieval could be improved. Furthermore, we use the selected the efficient visual features to perform the image retrieval. Experiment results show that the proposed algorithm is effective in comparison with the other mentioned methods.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"18 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":"125279353","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
The Regulation of Genetic Data by the Em Algorithm Em算法对遗传数据的调控
2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA) Pub Date : 2020-02-01 DOI: 10.1109/ICMTMA50254.2020.00147
Yan Zhang, Shiyang Wei, Fasheng Cao, Fuping Zhou, Qiannan Lu, Xiangdie Wang, Jiankun He
{"title":"The Regulation of Genetic Data by the Em Algorithm","authors":"Yan Zhang, Shiyang Wei, Fasheng Cao, Fuping Zhou, Qiannan Lu, Xiangdie Wang, Jiankun He","doi":"10.1109/ICMTMA50254.2020.00147","DOIUrl":"https://doi.org/10.1109/ICMTMA50254.2020.00147","url":null,"abstract":"In order to study the regulation of incomplete genetic data, we use a kind of Bayesian network method to reason the probability relationships of genes. That is, given a prior knowledge such as the network structure, we respectively set random 1/3, 1/4, 1/5 loss of the leukemia data, then use the Expectation-Maximization algorithm (EM algorithm) for parameter learning to find out the probabilistic dependent relationships between the parent nodes and child nodes in the network. We finally acquire the processing ability of EM algorithm in data containing missing values.","PeriodicalId":333866,"journal":{"name":"2020 12th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)","volume":"166 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":"131865324","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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