Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.85
Guanlin Si, Yue Sun, Wei Chen, Jian Li
Smart grid, as the next generation of power grid characterized by “two-way” communication, has been paid great attention to realizing reliable and flexible electricity delivery for our future lives. In order to support the two-way communication in smart grid, a large number of smart meters (SMs) should be deployed for customers to report their real-time data to control center. However, this kind of real-time report would disclose users’ privacy, bring down the users’ willingness to participate in smart grid. In order to address this problem, in this paper, we propose a groupingbased aggregation protocol with error tolerance for privacy-preservation in smart grid (GBAP-ETPP), which employs the counting bloom filter to save storage space and improve the query efficiency. We also solve the false positive of bloom filter by choosing appropriate IDs in the system setup. In addition, we group users and all users in the same group share the same key. Thus, we can normally run our algorithm by substitution even there are some malfunctioning SMs. Detailed security analysis and theoretical proof show that our scheme can guarantee the security and privacy requirements of all the users in the smart grid.
{"title":"Grouping-Based Aggregation Protocol with Error Tolerance for Privacy-Preservation in Smart Grid","authors":"Guanlin Si, Yue Sun, Wei Chen, Jian Li","doi":"10.2991/ICMEIT-19.2019.85","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.85","url":null,"abstract":"Smart grid, as the next generation of power grid characterized by “two-way” communication, has been paid great attention to realizing reliable and flexible electricity delivery for our future lives. In order to support the two-way communication in smart grid, a large number of smart meters (SMs) should be deployed for customers to report their real-time data to control center. However, this kind of real-time report would disclose users’ privacy, bring down the users’ willingness to participate in smart grid. In order to address this problem, in this paper, we propose a groupingbased aggregation protocol with error tolerance for privacy-preservation in smart grid (GBAP-ETPP), which employs the counting bloom filter to save storage space and improve the query efficiency. We also solve the false positive of bloom filter by choosing appropriate IDs in the system setup. In addition, we group users and all users in the same group share the same key. Thus, we can normally run our algorithm by substitution even there are some malfunctioning SMs. Detailed security analysis and theoretical proof show that our scheme can guarantee the security and privacy requirements of all the users in the smart grid.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134201231","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.138
J. Jia, Xiaoqiang Yan
For the rolling mill torque telemetry system, the battery power supply has a short duration, and the current supply by the collector ring can achieve long-term power supply, but it is difficult to achieve stable power supply for a long time due to limitations such as speed and wear. This paper designs a high-frequency induction power supply system to realize long-term stable power supply of sensors and signal transmitting modules on the measured axis. The WIFI signal transmission technology is used to realize the fast, efficient and stable wireless transmission of torque signals. The embedded programming of STM32F103 chip based on Cortex-M3 kernel architecture realizes the AD conversion, signal processing, WIFI transmitting and receiving control of torque signal. The system has been applied to the monitoring of main drive torque of many continuous rolling mills and achieved good results, which can replace expensive imported products.
{"title":"Development and Application of On-Line Torque Telemetry System for Rolling Mill based on WIFI Signal Transmission and High Frequency Induction Power Supply","authors":"J. Jia, Xiaoqiang Yan","doi":"10.2991/ICMEIT-19.2019.138","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.138","url":null,"abstract":"For the rolling mill torque telemetry system, the battery power supply has a short duration, and the current supply by the collector ring can achieve long-term power supply, but it is difficult to achieve stable power supply for a long time due to limitations such as speed and wear. This paper designs a high-frequency induction power supply system to realize long-term stable power supply of sensors and signal transmitting modules on the measured axis. The WIFI signal transmission technology is used to realize the fast, efficient and stable wireless transmission of torque signals. The embedded programming of STM32F103 chip based on Cortex-M3 kernel architecture realizes the AD conversion, signal processing, WIFI transmitting and receiving control of torque signal. The system has been applied to the monitoring of main drive torque of many continuous rolling mills and achieved good results, which can replace expensive imported products.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131501685","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.58
Zhian Lin, Chi Zhang
Abstract. This paper introduces the distributed transaction processing model and two-phase commit protocol, and analyses the shortcomings of the two-phase commit protocol. And then we proposed a new distributed transaction processing method which adds heartbeat mechanism into the twophase commit protocol. Using the method can improve reliability and reduce blocking in distributed transaction processing.
{"title":"A Transaction Processing Method for Distributed Database","authors":"Zhian Lin, Chi Zhang","doi":"10.2991/ICMEIT-19.2019.58","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.58","url":null,"abstract":"Abstract. This paper introduces the distributed transaction processing model and two-phase commit protocol, and analyses the shortcomings of the two-phase commit protocol. And then we proposed a new distributed transaction processing method which adds heartbeat mechanism into the twophase commit protocol. Using the method can improve reliability and reduce blocking in distributed transaction processing.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"226 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132472763","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.81
Zhenyang Chen, B. Yan, Xiaobing Zhang
In order to study the variational mode decomposition (VMD) algorithm for the analysis of acoustic signal characteristics of underwater plasma sound source pulse discharge, a simulation model of central control module is established by using VMD algorithm. The whole hardware circuit takes the FPGA (Field Programmable Gate Array) chip as the intelligent control center of the central control module, and combining with the minimum composed of basic power supply circuit, clock circuit, reset circuit and configuration circuit, the model is used to analyze the characteristics of acoustic signals. The results show that the uncertainties of these parameters also affect the performance of VMD. In VMD decomposition, the smaller the equilibrium constraint parameters are, the larger the bandwidth of each modal component is, the more likely the phenomenon of center frequency overlap and mode aliasing will occur. The larger the equilibrium constraint parameters are, the smaller the bandwidth of each component signal will be, and the phenomenon of center frequency overlap and mode aliasing will disappear. Through analysis, it is proposed that the general equilibrium constraint parameters can be taken as sampling frequency fs in practice. The acoustic signal of VMD applied to underwater plasma sound source pulse discharge is analyzed, and the results are as expected. It provides a theoretical basis and practical basis for its application in underwater plasma acoustic signal characteristics analysis. This is of great significance to the study of VMD as an underwater plasma source for the analysis of acoustic signal characteristics of pulse discharge.
{"title":"Acoustic Signal Characteristics Analysis of Underwater Plasma Source Pulse Discharge based on Variational Mode Decomposition Algorithm","authors":"Zhenyang Chen, B. Yan, Xiaobing Zhang","doi":"10.2991/ICMEIT-19.2019.81","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.81","url":null,"abstract":"In order to study the variational mode decomposition (VMD) algorithm for the analysis of acoustic signal characteristics of underwater plasma sound source pulse discharge, a simulation model of central control module is established by using VMD algorithm. The whole hardware circuit takes the FPGA (Field Programmable Gate Array) chip as the intelligent control center of the central control module, and combining with the minimum composed of basic power supply circuit, clock circuit, reset circuit and configuration circuit, the model is used to analyze the characteristics of acoustic signals. The results show that the uncertainties of these parameters also affect the performance of VMD. In VMD decomposition, the smaller the equilibrium constraint parameters are, the larger the bandwidth of each modal component is, the more likely the phenomenon of center frequency overlap and mode aliasing will occur. The larger the equilibrium constraint parameters are, the smaller the bandwidth of each component signal will be, and the phenomenon of center frequency overlap and mode aliasing will disappear. Through analysis, it is proposed that the general equilibrium constraint parameters can be taken as sampling frequency fs in practice. The acoustic signal of VMD applied to underwater plasma sound source pulse discharge is analyzed, and the results are as expected. It provides a theoretical basis and practical basis for its application in underwater plasma acoustic signal characteristics analysis. This is of great significance to the study of VMD as an underwater plasma source for the analysis of acoustic signal characteristics of pulse discharge.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132829522","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.50
Jie Wang, Yunyao Zhou
Congestion in urban makes too many commuters choose public transport for traveling. A large number of public transportation travel data can accurately calculate workplace and residence of the regular passengers. The label of workplace and residence helps to analyze urban migration and the distribution of workplace and residence.
{"title":"Algorithm and Application for Labeling Workplace and Residence based on Traffic Big Data","authors":"Jie Wang, Yunyao Zhou","doi":"10.2991/ICMEIT-19.2019.50","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.50","url":null,"abstract":"Congestion in urban makes too many commuters choose public transport for traveling. A large number of public transportation travel data can accurately calculate workplace and residence of the regular passengers. The label of workplace and residence helps to analyze urban migration and the distribution of workplace and residence.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121276092","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.96
Yixiang Jiang, Wenjuan Wang, Chengting Zhang
With the development of industrial control network and the deep integration of industry and information technology, the rapid development of industrial control system has increased dramatically, which has brought huge economic and property losses to industrial control companies. Therefore, a traffic identification technology based on deep learning is proposed, which makes full use of the characteristics of industrial network traffic signs. Combined with experiments, this technology can classify network traffic and effectively identify abnormal traffic in industrial control system network. Compared with traditional classification methods, it not only improves the accuracy of traffic identification, but also reduces the time required for classification.
{"title":"Research on Traffic Recognition Algorithms for Industrial Control Networks based on Deep Learning","authors":"Yixiang Jiang, Wenjuan Wang, Chengting Zhang","doi":"10.2991/ICMEIT-19.2019.96","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.96","url":null,"abstract":"With the development of industrial control network and the deep integration of industry and information technology, the rapid development of industrial control system has increased dramatically, which has brought huge economic and property losses to industrial control companies. Therefore, a traffic identification technology based on deep learning is proposed, which makes full use of the characteristics of industrial network traffic signs. Combined with experiments, this technology can classify network traffic and effectively identify abnormal traffic in industrial control system network. Compared with traditional classification methods, it not only improves the accuracy of traffic identification, but also reduces the time required for classification.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122350423","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.108
Yang Wang, Bo Zhou, Ming-Chieh Cheng, Hongyong Fu, Dequan Yu, Wenbo Wu
{"title":"A Fault Diagnosis Scheme for Rotating Machinery Using Recurrence Plot and Scale Invariant Feature Transform","authors":"Yang Wang, Bo Zhou, Ming-Chieh Cheng, Hongyong Fu, Dequan Yu, Wenbo Wu","doi":"10.2991/ICMEIT-19.2019.108","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.108","url":null,"abstract":"","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124606298","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.79
Xiujun Wu
Support Vector Machine (SVM) is an important statistical machine learning algorithm, among which SMO algorithm is one of the effective application methods. SMO algorithm decomposes the problem of support vector machine into smaller problems to minimize the sequence. Through the introduction of SMO algorithm and the analysis and summary of the problems, this paper explores the corresponding SMO optimization algorithm, hoping to provide theoretical support for future research.
{"title":"Support Vector Machine SMO Algorithms and Their Optimization","authors":"Xiujun Wu","doi":"10.2991/ICMEIT-19.2019.79","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.79","url":null,"abstract":"Support Vector Machine (SVM) is an important statistical machine learning algorithm, among which SMO algorithm is one of the effective application methods. SMO algorithm decomposes the problem of support vector machine into smaller problems to minimize the sequence. Through the introduction of SMO algorithm and the analysis and summary of the problems, this paper explores the corresponding SMO optimization algorithm, hoping to provide theoretical support for future research.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121409544","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.48
K. Spicher, Boxing Li, D. Fang
This essay relates mainly to sporadic FC (forecasting) methods and error measures. The existing related FC methods of sporadic time series (STS), including the SES (Simple Exponential Smoothing), Croston’ s / SBA method and patented WSS method as well as two applicable error metrics APE and THEIL'S U are introduced briefly. Then the focus is laid on the analysis and presentation of a new forecasting yet unpublished method, SIMFAC (1), which is dedicated to STS and includes a new error metric, MEM (Matching Event Metric). For a more comprehensive comparison among methods, Cosine Similarity (CS) metric, will be introduced and applied in this essay.
{"title":"SIMFAC-A New Forecasting Method for Sporadic Time Series","authors":"K. Spicher, Boxing Li, D. Fang","doi":"10.2991/ICMEIT-19.2019.48","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.48","url":null,"abstract":"This essay relates mainly to sporadic FC (forecasting) methods and error measures. The existing related FC methods of sporadic time series (STS), including the SES (Simple Exponential Smoothing), Croston’ s / SBA method and patented WSS method as well as two applicable error metrics APE and THEIL'S U are introduced briefly. Then the focus is laid on the analysis and presentation of a new forecasting yet unpublished method, SIMFAC (1), which is dedicated to STS and includes a new error metric, MEM (Matching Event Metric). For a more comprehensive comparison among methods, Cosine Similarity (CS) metric, will be introduced and applied in this essay.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116782441","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}
Pub Date : 2019-04-01DOI: 10.2991/ICMEIT-19.2019.14
Bin Liu, Yunna Li, Jun Qi, Tao Feng, Yijie Yuan, Liang Si, Liwei Yang
Abstract. In hierarchical management systems, the information interaction problems often appear such as transmission delay, ununified understanding of important matters and distortion of the original intention. At present, many people are used to using Wechat and QQ to exchange daily work information. However, this may lead to the following problems: 1) in group discussions, the problem of multi-topic cross-cutting occurs, leading to confusion of discussion clues and divergence of the content of important topics; 2) relevant information and data cannot be independently saved and analyzed by the unit, which is helpful in mining guiding rules conducive to improving the business level of the unit; 3) important business information of the unit is leaked on the social platform. This article develops a flat management platform consists of a dedicated data acquisition front-end and a data analysis back-end relying on mobile Internet technology and big data technology, respectively. The platform has been used by Chengde section management office of Zhangcheng expressway for over two years, and its effectiveness and practicability has been proved.
{"title":"A Flat Management Platform based on Mobile Internet and Big Data","authors":"Bin Liu, Yunna Li, Jun Qi, Tao Feng, Yijie Yuan, Liang Si, Liwei Yang","doi":"10.2991/ICMEIT-19.2019.14","DOIUrl":"https://doi.org/10.2991/ICMEIT-19.2019.14","url":null,"abstract":"Abstract. In hierarchical management systems, the information interaction problems often appear such as transmission delay, ununified understanding of important matters and distortion of the original intention. At present, many people are used to using Wechat and QQ to exchange daily work information. However, this may lead to the following problems: 1) in group discussions, the problem of multi-topic cross-cutting occurs, leading to confusion of discussion clues and divergence of the content of important topics; 2) relevant information and data cannot be independently saved and analyzed by the unit, which is helpful in mining guiding rules conducive to improving the business level of the unit; 3) important business information of the unit is leaked on the social platform. This article develops a flat management platform consists of a dedicated data acquisition front-end and a data analysis back-end relying on mobile Internet technology and big data technology, respectively. The platform has been used by Chengde section management office of Zhangcheng expressway for over two years, and its effectiveness and practicability has been proved.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125457131","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}
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