According to the increasing demand of interactive information of rail transit on-board signal equipment, the author designed a rail transit on-board monitoring and maintenance system based on data mining to set association rules for operation data acquisition and propose a correlation rules algorithm to obtain more reliable understanding and operation quality evaluation of train operation information.From a lot of logs, quickly find key issues, applied in the train test and repair field.The simulation experiment results show that after analyzing the simulation data and the curve, the system extraction results have certain error in the manual calculation results, and the error value is between 0.5 and 0.6, but the overall meets the actual work needs, and optimize the invalid data to reduce the error.The reliable operation and maintainability of the system are verified.
{"title":"Analysis Platform of Rail Transit Vehicle Signal System Based on Data Mining","authors":"Chunying Li, Zhonghua Mu","doi":"10.31449/inf.v47i3.3942","DOIUrl":"https://doi.org/10.31449/inf.v47i3.3942","url":null,"abstract":"According to the increasing demand of interactive information of rail transit on-board signal equipment, the author designed a rail transit on-board monitoring and maintenance system based on data mining to set association rules for operation data acquisition and propose a correlation rules algorithm to obtain more reliable understanding and operation quality evaluation of train operation information.From a lot of logs, quickly find key issues, applied in the train test and repair field.The simulation experiment results show that after analyzing the simulation data and the curve, the system extraction results have certain error in the manual calculation results, and the error value is between 0.5 and 0.6, but the overall meets the actual work needs, and optimize the invalid data to reduce the error.The reliable operation and maintainability of the system are verified.","PeriodicalId":56292,"journal":{"name":"Informatica","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135691749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Novel Method for Human MRI Based Pancreatic Cancer Prediction Using Integration of Harris Hawks Varients & VGG16: A Deep Learning Approach","authors":"Rama Prakasha Reddy Chegireddy, A. Srinagesh","doi":"10.31449/inf.v47i1.4433","DOIUrl":"https://doi.org/10.31449/inf.v47i1.4433","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47503669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Prediction Model for Online Student Academic Performance Using Machine Learning","authors":"H. Kaur, Tarandeep Kaur, R. Garg","doi":"10.31449/inf.v47i1.4297","DOIUrl":"https://doi.org/10.31449/inf.v47i1.4297","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44242421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"LEARNING THE STRUCTURE OF BAYESIAN NETWORKS FROM INCOMPLETE DATA USING A MIXTURE MODEL","authors":"Issam Salman, Jirka Vomlel","doi":"10.31449/inf.v47i1.4497","DOIUrl":"https://doi.org/10.31449/inf.v47i1.4497","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48593965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Implementation of Multiple CNN Architectures to Classify the Sea Coral Images","authors":"","doi":"10.31449/inf.v47i1.4429","DOIUrl":"https://doi.org/10.31449/inf.v47i1.4429","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47606894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Threat model and risk management for a smart home IoT system","authors":"A. Mahlous","doi":"10.31449/inf.v47i1.4526","DOIUrl":"https://doi.org/10.31449/inf.v47i1.4526","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45634985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On integrating multiple restriction domains to automatically generate test cases of model transformations","authors":"H. T. Nguyen, Hanh Duc Dang","doi":"10.31449/inf.v47i1.4421","DOIUrl":"https://doi.org/10.31449/inf.v47i1.4421","url":null,"abstract":"","PeriodicalId":56292,"journal":{"name":"Informatica","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45895707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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