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СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ最新文献

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ON ONE APPROACH FOR FEATURE SELECTION BASED ON THE APPLICATION OF THE METHOD OF LOGICAL ANALYSIS OF DATA 一种基于数据逻辑分析方法的特征选择方法
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-12-30 DOI: 10.36622/vstu.2021.86.4.008
Р.И. Кузьмич, А. А. Ступина, М.И. Цепкова, С. Н. Ежеманская
{"title":"ON ONE APPROACH FOR FEATURE SELECTION BASED ON THE APPLICATION OF THE METHOD OF LOGICAL ANALYSIS OF DATA","authors":"Р.И. Кузьмич, А. А. Ступина, М.И. Цепкова, С. Н. Ежеманская","doi":"10.36622/vstu.2021.86.4.008","DOIUrl":"https://doi.org/10.36622/vstu.2021.86.4.008","url":null,"abstract":"Предлагается подход для отбора важных признаков при классификации наблюдений. Реализация подхода основана на построении логических правил на базе метода логического анализа данных и учете частоты использования признаков при их формировании для конкретной задачи классификации.\u0000 An approach is proposed for the selection of important features in the classification of observations. The implementation of the approach is based on the construction of patterns based on the method of logical analysis of data and taking into account the frequency of using features when forming them for a specific classification task.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123835763","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
ON THE QUALITATIVE QUALITATIVE CHARACTERISTICS OF THE RESULT OF GROUPING ELECTRIC RADIO PRODUCTS INTO HOMOGENEOUS GROUPS 论无线电产品同质分组结果的定性定性特征
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-12-30 DOI: 10.36622/vstu.2021.86.4.007
С.М. Голованов
{"title":"ON THE QUALITATIVE QUALITATIVE CHARACTERISTICS OF THE RESULT OF GROUPING ELECTRIC RADIO PRODUCTS INTO HOMOGENEOUS GROUPS","authors":"С.М. Голованов","doi":"10.36622/vstu.2021.86.4.007","DOIUrl":"https://doi.org/10.36622/vstu.2021.86.4.007","url":null,"abstract":"В работе представлен подход к определению меры однородности набора элементов - электрорадиоизделий, основанный на введении двух понятий: характеристики качества деления набора на группы и области качественного деления, как области значений характеристик качества деления, соответствующего разделению набора на однородные группы.\u0000 This work presents an approach for determination of the homogeneity in a set of elements (semiconductor devices) based on the introducing two concepts: characteristic of the quality of dividing a set into groups and an area of qualitative division, as the range of values of characteristics of the quality of dividing, corresponding to dividing a set into homogeneous groups.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114258601","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
EXPERIMENTAL EVALUATION OF THE DETECTION OF ANOMALIES IN A COMPUTER NETWORK 计算机网络异常检测的实验评价
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-12-30 DOI: 10.36622/vstu.2021.86.4.005
А.Н. Цибуля, Александр Козачок, В.М. Козлова
{"title":"EXPERIMENTAL EVALUATION OF THE DETECTION OF ANOMALIES IN A COMPUTER NETWORK","authors":"А.Н. Цибуля, Александр Козачок, В.М. Козлова","doi":"10.36622/vstu.2021.86.4.005","DOIUrl":"https://doi.org/10.36622/vstu.2021.86.4.005","url":null,"abstract":"В статье рассматривается оптимизированный подход к контролю инцидентов информационной безопасности компьютерной сети и обнаружению аномалий. Обоснована необходимость использования алгоритма «усечения» полного множества факторов нарушения политики информационной безопасности.\u0000 The article considers an optimized approach to monitoring computer network information security incidents and detecting anomalies. The necessity of using the algorithm of «truncation» of the full set of factors of violation of the information security policy is justified.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128476368","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
A METHOD OF A SOCIAL GRAPH BUILDING IN A GIVEN FIELD OF ACTIVITY USING DATA FROM A SOCIAL NETWORK 使用来自社交网络的数据在给定的活动领域中构建社交图的方法
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-09-30 DOI: 10.36622/vstu.2021.85.3.014
Елена Лунева, Алексей Александрович Ефремов, Ю. Лобода
{"title":"A METHOD OF A SOCIAL GRAPH BUILDING IN A GIVEN FIELD OF ACTIVITY USING DATA FROM A SOCIAL NETWORK","authors":"Елена Лунева, Алексей Александрович Ефремов, Ю. Лобода","doi":"10.36622/vstu.2021.85.3.014","DOIUrl":"https://doi.org/10.36622/vstu.2021.85.3.014","url":null,"abstract":"В статье описывается способ построения социального графа по данным из социальных сетей в определенной сфере деятельности, опирающийся на активность пользователей в социальных сетях. В статье приводятся данные эксперимента позволяющего оценить точность воспроизведения реальных связей между пользователями в социальном графе.\u0000 The article provides a method of a social graph construction based on data from social networks in a certain field of activity, as well as on the activity of users in social networks. Furthermore, the paper presents the findings of real data experiment that allows evaluating the accuracy of reproduction of real connections between users in a social graph.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124178248","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
A REAL-TIME APPROACH TO TRANSACTION MANAGEMENT IN HETEROGENEOUS DISTRIBUTED REPLICATED DATABASE SYSTEMS 异构分布式复制数据库系统中事务管理的实时方法
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-09-30 DOI: 10.36622/vstu.2021.85.3.011
А. Д. Данилов, Д.С. Синюков
{"title":"A REAL-TIME APPROACH TO TRANSACTION MANAGEMENT IN HETEROGENEOUS DISTRIBUTED REPLICATED DATABASE SYSTEMS","authors":"А. Д. Данилов, Д.С. Синюков","doi":"10.36622/vstu.2021.85.3.011","DOIUrl":"https://doi.org/10.36622/vstu.2021.85.3.011","url":null,"abstract":"В работе транзакции рассматриваются в виде гетерогенных файлов от пользователей в качестве входных данных и эффективно развертываются в облачной системе хранения данных и в гетерогенных системах баз данных в качестве выходных данных.\u0000 In this paper, transactions are considered as heterogeneous files from users as input data and are effectively deployed in a cloud storage system and in heterogeneous database systems as output data.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132856871","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
MATHEMATICAL MODELS AND METHODS FOR ASSESSING AND MANAGING RESOURCE SUSTAINABILITY OF ENTERPRISE DEVELOPMENT 企业发展资源可持续性评估与管理的数学模型与方法
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-09-30 DOI: 10.36622/vstu.2021.85.3.010
Т.В. Азарнова, Н.Г. Аснина, Леонид Александрович Щепин
{"title":"MATHEMATICAL MODELS AND METHODS FOR ASSESSING AND MANAGING RESOURCE SUSTAINABILITY OF ENTERPRISE DEVELOPMENT","authors":"Т.В. Азарнова, Н.Г. Аснина, Леонид Александрович Щепин","doi":"10.36622/vstu.2021.85.3.010","DOIUrl":"https://doi.org/10.36622/vstu.2021.85.3.010","url":null,"abstract":"В статье предложены математические модели и методы получения комплексной оценки ресурсной устойчивости и достижения определенных показателей развития за счет применения интенсивных технологий использования ресурсов предприятия.\u0000 This article proposes mathematical models and methods for obtaining a comprehensive assessment of resource sustainability and achieving certain development indicators through the use of intensive technologies for the use of enterprise resources.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114983818","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
REDUCTION OF THE CLASSIFIER IN THE METHOD OF LOGICAL ANALYSIS OF DATA BASED ON THE Ε-, Δ-CRITERION FOR SELECTING PATTERN 分类器的约简方法在逻辑分析数据的基础上Ε-， Δ-criterion进行模式的选择
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-09-30 DOI: 10.36622/vstu.2021.85.3.001
Р.И. Кузьмич, А. А. Ступина, Владислав Александрович Соколов, И.С. Поважнюк
{"title":"REDUCTION OF THE CLASSIFIER IN THE METHOD OF LOGICAL ANALYSIS OF DATA BASED ON THE Ε-, Δ-CRITERION FOR SELECTING PATTERN","authors":"Р.И. Кузьмич, А. А. Ступина, Владислав Александрович Соколов, И.С. Поважнюк","doi":"10.36622/vstu.2021.85.3.001","DOIUrl":"https://doi.org/10.36622/vstu.2021.85.3.001","url":null,"abstract":"Предлагается алгоритмическая процедура редукции классификатора в методе логического анализа данных, основанная на отборе закономерностей с помощью ε-, δ-критерия. Реализация подхода заключается в формировании исходного классификатора как набора закономерностей на базе наблюдений обучающей выборки, применения к полученным правилам процедуры наращивания и последующего их отбора в новый классификатор на базе ε-, δ-критерия. Приводится эмпирическое подтверждение целесообразности данной алгоритмической процедуры.\u0000 An algorithmic procedure for the reduction of the classifier in the method of logical analysis of data, based on the selection of patterns using the ε-, δ-criterion is proposed. The implementation of the approach consists in the formation of the initial classifier as a set of patterns based on observations of the training sample, application of the increasing procedure to the obtained patterns and their subsequent selection into a new classifier based on the ε-, δ-criterion. An empirical confirmation of the expediency of this algorithmic procedure is given.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117351634","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
FRACTAL ANALYSIS AS A TOOL FOR AUTOMATIC DETECTION OF ARTIFACTS IN ELECTROENCEPHALOGRAM RECORDS 分形分析作为脑电图记录中伪影自动检测的工具
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-09-30 DOI: 10.36622/vstu.2021.85.3.013
Л.Д. Егорова, Л.А. Казаковцев
{"title":"FRACTAL ANALYSIS AS A TOOL FOR AUTOMATIC DETECTION OF ARTIFACTS IN ELECTROENCEPHALOGRAM RECORDS","authors":"Л.Д. Егорова, Л.А. Казаковцев","doi":"10.36622/vstu.2021.85.3.013","DOIUrl":"https://doi.org/10.36622/vstu.2021.85.3.013","url":null,"abstract":"В статье обсуждается применение методов фрактального анализа для решения задачи автоматической фильтрации сигнала ЭЭГ от артефактов различной природы. Изучается возможность использования показателя Херста в качестве информативного признака для алгоритмов интеллектуальной обработки данных.\u0000 The article discusses the possibility of using fractal analysis to solve the problem of automatic filtering of the EEG signal from artifacts of various nature. The possibility of using the Hurst exponent as an informative feature for intelligent data processing algorithms is investigated","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116160678","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
APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR QUALITY MANAGEMENT FOOD PRODUCTS IN THE PRODUCTION PROCESS 神经网络技术在食品生产过程质量管理中的应用
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-09-30 DOI: 10.36622/vstu.2021.85.3.007
В.Г. Благовещенский, А.Е. Краснов, Евгений Иннокентьевич Баженов, М. Благовещенская, С.А. Мокрушин
{"title":"APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR QUALITY MANAGEMENT FOOD PRODUCTS IN THE PRODUCTION PROCESS","authors":"В.Г. Благовещенский, А.Е. Краснов, Евгений Иннокентьевич Баженов, М. Благовещенская, С.А. Мокрушин","doi":"10.36622/vstu.2021.85.3.007","DOIUrl":"https://doi.org/10.36622/vstu.2021.85.3.007","url":null,"abstract":"Рассматривается задача разработки интеллектуальной автоматизированной системы управления качеством кондитерских изделий с использованием нейросетевых технологий на примере производства подсолнечной халвы.\u0000 The problem of developing an automatic system for managing the quality of food products using neural network technologies is considered on the example of the production of sunflower halva.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129165636","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
MATHEMATICAL SUPPORT FOR INDUCTION SOLDERING CONTROL BASED ON INTELLIGENT METHODS OF INFORMATION PROCESSING 基于智能信息处理方法的感应焊接控制的数学支持
СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ Pub Date : 2021-09-30 DOI: 10.36622/vstu.2021.85.3.015
А. В. Милов
{"title":"MATHEMATICAL SUPPORT FOR INDUCTION SOLDERING CONTROL BASED ON INTELLIGENT METHODS OF INFORMATION PROCESSING","authors":"А. В. Милов","doi":"10.36622/vstu.2021.85.3.015","DOIUrl":"https://doi.org/10.36622/vstu.2021.85.3.015","url":null,"abstract":"В статье представлены математические модели на основе искусственных нейронных сетей, используемые для управления индукционной пайкой. Обучение искусственных нейронных сетей производилось с использованием многокритериального генетического алгоритма FFGA.\u0000 This article presents mathematical models based on artificial neural networks used to control induction soldering. The artificial neural networks were trained using the FFGA multicriteria genetic algorithm. The developed models allow to control induction soldering under conditions of incomplete or unreliable information, as well as under conditions of complete absence of information about the technological process.","PeriodicalId":331043,"journal":{"name":"СИСТЕМЫ УПРАВЛЕНИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126037292","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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