{"title":"SKALA-MICRO信息测量系统技术信息的新数据压缩算法","authors":"Bukalin, Alexey, Zagrebaev Andrey","doi":"10.32523/2306-6172-2021-9-2-4-11","DOIUrl":null,"url":null,"abstract":"This paper describes a computer program that implements an algorithm for com- pressing technological information with losses using archive data of the information-measuring system \"Skala-micro\" of the Kursk and Smolensk NPPs as an example. The presented al- gorithm allows to compress file archives at the data level with the possibility of their quick subsequent recovery within the limits of the acceptable error. The main goal of the algorithm is to significantly reduce the excess amount of memory when storing data for its subsequent more efficient use.","PeriodicalId":42910,"journal":{"name":"Eurasian Journal of Mathematical and Computer Applications","volume":"1 1","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NEW DATA COMPRESSION ALGORITHM FOR TECHNOLOGICAL INFORMATION OF THE INFORMATION-MEASURING SYSTEM \\\"SKALA-MICRO\\\"\",\"authors\":\"Bukalin, Alexey, Zagrebaev Andrey\",\"doi\":\"10.32523/2306-6172-2021-9-2-4-11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a computer program that implements an algorithm for com- pressing technological information with losses using archive data of the information-measuring system \\\"Skala-micro\\\" of the Kursk and Smolensk NPPs as an example. The presented al- gorithm allows to compress file archives at the data level with the possibility of their quick subsequent recovery within the limits of the acceptable error. The main goal of the algorithm is to significantly reduce the excess amount of memory when storing data for its subsequent more efficient use.\",\"PeriodicalId\":42910,\"journal\":{\"name\":\"Eurasian Journal of Mathematical and Computer Applications\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Eurasian Journal of Mathematical and Computer Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32523/2306-6172-2021-9-2-4-11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasian Journal of Mathematical and Computer Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32523/2306-6172-2021-9-2-4-11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
NEW DATA COMPRESSION ALGORITHM FOR TECHNOLOGICAL INFORMATION OF THE INFORMATION-MEASURING SYSTEM "SKALA-MICRO"
This paper describes a computer program that implements an algorithm for com- pressing technological information with losses using archive data of the information-measuring system "Skala-micro" of the Kursk and Smolensk NPPs as an example. The presented al- gorithm allows to compress file archives at the data level with the possibility of their quick subsequent recovery within the limits of the acceptable error. The main goal of the algorithm is to significantly reduce the excess amount of memory when storing data for its subsequent more efficient use.
期刊介绍:
Eurasian Journal of Mathematical and Computer Applications (EJMCA) publishes carefully selected original research papers in all areas of Applied mathematics first of all from Europe and Asia. However papers by mathematicians from other continents are also welcome. From time to time Eurasian Journal of Mathematical and Computer Applications (EJMCA) will also publish survey papers. Eurasian Mathematical Journal publishes 4 issues in a year. A working language of the journal is English. Main topics are: - Mathematical methods and modeling in mechanics, mining, biology, geophysics, electrodynamics, acoustics, industry. - Inverse problems of mathematical physics: theory and computational approaches. - Medical and industry tomography. - Computer applications: distributed information systems, decision-making systems, embedded systems, information security, graphics.