A. O. Prokofiev, Andrey V. Chirkin, Elena R. Skorokhodova, Kirill E. Titov
{"title":"随机变换结果的图形化研究方法","authors":"A. O. Prokofiev, Andrey V. Chirkin, Elena R. Skorokhodova, Kirill E. Titov","doi":"10.1109/EICONRUS.2019.8656654","DOIUrl":null,"url":null,"abstract":"The paper discusses graphical research methods of stochastic transformations. The modified methods for detecting anomalies, patterns and deviations in pseudorandom sequences are presented. The method based on filling coordinate and coordinate-free planes is described. The method based on plotting empirical frequencies distribution of zeros and ones in a researched pseudo-random sequence is described. The method based on visualization of stochastic transformation results in form of several graphs is described. Proofs of correctness of the described methods are presented. The results of PRNG research with proposed methods are presented. The recommendations to increase effectiveness of presented investigation methods are formulated.","PeriodicalId":6748,"journal":{"name":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"40 1","pages":"306-309"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Methods of Graphical Research of Stochastic Transformation Results\",\"authors\":\"A. O. Prokofiev, Andrey V. Chirkin, Elena R. Skorokhodova, Kirill E. Titov\",\"doi\":\"10.1109/EICONRUS.2019.8656654\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper discusses graphical research methods of stochastic transformations. The modified methods for detecting anomalies, patterns and deviations in pseudorandom sequences are presented. The method based on filling coordinate and coordinate-free planes is described. The method based on plotting empirical frequencies distribution of zeros and ones in a researched pseudo-random sequence is described. The method based on visualization of stochastic transformation results in form of several graphs is described. Proofs of correctness of the described methods are presented. The results of PRNG research with proposed methods are presented. The recommendations to increase effectiveness of presented investigation methods are formulated.\",\"PeriodicalId\":6748,\"journal\":{\"name\":\"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"volume\":\"40 1\",\"pages\":\"306-309\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EICONRUS.2019.8656654\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUS.2019.8656654","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Methods of Graphical Research of Stochastic Transformation Results
The paper discusses graphical research methods of stochastic transformations. The modified methods for detecting anomalies, patterns and deviations in pseudorandom sequences are presented. The method based on filling coordinate and coordinate-free planes is described. The method based on plotting empirical frequencies distribution of zeros and ones in a researched pseudo-random sequence is described. The method based on visualization of stochastic transformation results in form of several graphs is described. Proofs of correctness of the described methods are presented. The results of PRNG research with proposed methods are presented. The recommendations to increase effectiveness of presented investigation methods are formulated.