Pub Date : 2022-12-16DOI: 10.15827/0236-235x.140.715-728
Г.А. Ярыгин, G.A. Yarygin, В. Ф. Корнюшко, V. F. Kornyushko, Л.В. Садеков, L.V. Sadekov, М.В. Баюкин, M.V. Bayukin, Елена Геррмановна Шмакова, E.G. Shmakova
{"title":"Информационная и алгоритмическая поддержка интеллектуальной системы экологического мониторинга воздуха на основе нейронных сетей","authors":"Г.А. Ярыгин, G.A. Yarygin, В. Ф. Корнюшко, V. F. Kornyushko, Л.В. Садеков, L.V. Sadekov, М.В. Баюкин, M.V. Bayukin, Елена Геррмановна Шмакова, E.G. Shmakova","doi":"10.15827/0236-235x.140.715-728","DOIUrl":"https://doi.org/10.15827/0236-235x.140.715-728","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130680873","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 : 2022-12-16DOI: 10.15827/0236-235x.140.758-769
А. М. Агеев, A. M. Ageev, Л.В. Новицкий, L.V. Novitsky, Е.С. Цветков, E.S. Tsvetkov, В. А. Шурман, V.A. Shurman
{"title":"Системное программное обеспечение управления избыточностью комплексов бортового оборудования авиационной техники","authors":"А. М. Агеев, A. M. Ageev, Л.В. Новицкий, L.V. Novitsky, Е.С. Цветков, E.S. Tsvetkov, В. А. Шурман, V.A. Shurman","doi":"10.15827/0236-235x.140.758-769","DOIUrl":"https://doi.org/10.15827/0236-235x.140.758-769","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131533619","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 : 2022-12-16DOI: 10.15827/0236-235x.140.557-571
Ю. Ф. Тельнов, Yu.F. Telnov, Артём Александрович Денисов, Denisov A.A., Владимир Александрович Казаков, V. A. Kazakov, Андрей Владиленович Данилов, A. V. Danilov
{"title":"Требования к программной реализации системы Индустрии 4.0 для создания сетевых предприятий","authors":"Ю. Ф. Тельнов, Yu.F. Telnov, Артём Александрович Денисов, Denisov A.A., Владимир Александрович Казаков, V. A. Kazakov, Андрей Владиленович Данилов, A. V. Danilov","doi":"10.15827/0236-235x.140.557-571","DOIUrl":"https://doi.org/10.15827/0236-235x.140.557-571","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125279366","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 : 2022-12-16DOI: 10.15827/0236-235x.140.618-630
Петр Валентинович Зрелов, P. Zrelov, С. В. Ульянов, S. Ulyanov, Н.В. Рябов, Ryabov N.V., О.В. Иванцова, O. Ivantsova, Владимир Васильевич Кореньков, V. Korenkov
{"title":"Оценка возможностей классических компьютеров при реализации симуляторов квантовых алгоритмов","authors":"Петр Валентинович Зрелов, P. Zrelov, С. В. Ульянов, S. Ulyanov, Н.В. Рябов, Ryabov N.V., О.В. Иванцова, O. Ivantsova, Владимир Васильевич Кореньков, V. Korenkov","doi":"10.15827/0236-235x.140.618-630","DOIUrl":"https://doi.org/10.15827/0236-235x.140.618-630","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"02 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124474285","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 : 2022-12-16DOI: 10.15827/0236-235x.140.729-736
М. В. Черновалова, Chernovalova M.V., Л.Л. Черненский, L. L. Chernensky, И. М. Макарова, I. M. Makarova
{"title":"Прецедентный подход для оценки влияния молний на системы уличного освещения с использованием онтологий","authors":"М. В. Черновалова, Chernovalova M.V., Л.Л. Черненский, L. L. Chernensky, И. М. Макарова, I. M. Makarova","doi":"10.15827/0236-235x.140.729-736","DOIUrl":"https://doi.org/10.15827/0236-235x.140.729-736","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130203337","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 : 2022-12-16DOI: 10.15827/0236-235x.140.670-679
С А Чернышев, Chernyshev S.A.
{"title":"Классификация общих шаблонов проектирования мультиагентных систем","authors":"С А Чернышев, Chernyshev S.A.","doi":"10.15827/0236-235x.140.670-679","DOIUrl":"https://doi.org/10.15827/0236-235x.140.670-679","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125881982","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 : 2022-09-23DOI: 10.15827/0236-235x.139.329-339
Б.А. Козар, B.A. Kozar, Влада Владимировна Кугуракова, V. Kugurakova, Г.Ф. Сахибгареева, G.F. Sakhibgareeva
{"title":"Структуризация сущностей естественного текста с использованием нейронных сетей для генерации трехмерных сцен","authors":"Б.А. Козар, B.A. Kozar, Влада Владимировна Кугуракова, V. Kugurakova, Г.Ф. Сахибгареева, G.F. Sakhibgareeva","doi":"10.15827/0236-235x.139.329-339","DOIUrl":"https://doi.org/10.15827/0236-235x.139.329-339","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115300153","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 : 2022-09-23DOI: 10.15827/0236-235x.139.374-383
Р.А. Шараева, R.A. Sharaeva, Влада Владимировна Кугуракова, V. Kugurakova, Н Е Селезнева, N.E. Selezneva
{"title":"Методика упрощения таск-трекинга в проектах игровой индустрии","authors":"Р.А. Шараева, R.A. Sharaeva, Влада Владимировна Кугуракова, V. Kugurakova, Н Е Селезнева, N.E. Selezneva","doi":"10.15827/0236-235x.139.374-383","DOIUrl":"https://doi.org/10.15827/0236-235x.139.374-383","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132298371","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 : 2022-09-23DOI: 10.15827/0236-235x.139.458-465
В. П. Мешалкин, V. P. Meshalkin, О. Б. Бутусов, O.B. Butusov, Р. Р. Кантюков, Kantyukov R.R., Т. Б. Чистякова, T. B. Chistyakova
{"title":"Контрольно-пиксельно-кластерный алгоритм оценки воздействия химических загрязнений на лесные массивы по спутниковым фотоизображениям","authors":"В. П. Мешалкин, V. P. Meshalkin, О. Б. Бутусов, O.B. Butusov, Р. Р. Кантюков, Kantyukov R.R., Т. Б. Чистякова, T. B. Chistyakova","doi":"10.15827/0236-235x.139.458-465","DOIUrl":"https://doi.org/10.15827/0236-235x.139.458-465","url":null,"abstract":"","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123221503","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 : 2022-09-23DOI: 10.15827/0236-235x.139.428-437
Анатолий Александрович Рыбаков, Rybakov A.A., С.А. Фрейлехман, S.A. Freylekhman
The paper is devoted to research aimed at automatic detection of defects and anomalies that occur in the audio record digital signal. Defect detection methods are mainly used in digitizing analog audio records Программные продукты и системы / Software & Systems 3 (35) 2022 436 and restoring damaged signals. Anomaly detection methods have a wide range of applications including the development of security and environmental monitoring systems, the identification of artificially edited records, restoration of archival audio recordings of cultural value for a certain time period of society development and formation, the fight against so-called deepfakes, encryption and decryption of classified information encoded in audio data and much more. Modern technologies and techniques make it possible to efficiently eliminate the found defects by mathematical manipulation of the signal by an audio engineer or using smart and adaptive digital signal editing tools. However, for this purpose, the defect must be accurately detected and localized, its type and the possible origin must also be determined. There is special software developed within the framework of this work to solve the problem of automatic detection of defects in a digital signal of an audio record. It was verified on digitized audio records of various quality. Since digital media data including audio records have a large size, the aspect of parallel distributed processing is of particular importance during the analysis. Due to this fact, the developed defect detection code was upgraded to take into account the need to run on Intel Xeon Phi Knights Landing massively parallel microprocessors and demonstrated high scaling efficiency.
本文主要研究录音数字信号中缺陷和异常的自动检测问题。缺陷检测方法主要用于模拟音频记录的数字化Программные продукты * системы / Software & Systems 3(35) 2022 436和损坏信号的恢复。异常检测方法具有广泛的应用，包括安全和环境监测系统的开发，人工编辑记录的识别，对社会发展和形成的一定时期具有文化价值的档案录音的恢复，打击所谓的深度伪造，对音频数据中编码的机密信息进行加密和解密等等。现代技术和技术使得通过音频工程师对信号的数学处理或使用智能和自适应数字信号编辑工具有效地消除发现的缺陷成为可能。然而，为此目的，必须准确地检测和定位缺陷，还必须确定其类型和可能的起源。在这项工作的框架内开发了专门的软件来解决音频记录数字信号缺陷的自动检测问题。在不同质量的数字化音频记录上进行了验证。由于包括音频记录在内的数字媒体数据具有较大的规模，因此在分析过程中，并行分布式处理方面显得尤为重要。由于这一事实，开发的缺陷检测代码进行了升级，以考虑在Intel Xeon Phi Knights Landing大规模并行微处理器上运行的需要，并展示了高扩展效率。
{"title":"Автоматическое детектирование аудиодефектов с применением параллельных вычислений","authors":"Анатолий Александрович Рыбаков, Rybakov A.A., С.А. Фрейлехман, S.A. Freylekhman","doi":"10.15827/0236-235x.139.428-437","DOIUrl":"https://doi.org/10.15827/0236-235x.139.428-437","url":null,"abstract":"The paper is devoted to research aimed at automatic detection of defects and anomalies that occur in the audio record digital signal. Defect detection methods are mainly used in digitizing analog audio records Программные продукты и системы / Software & Systems 3 (35) 2022 436 and restoring damaged signals. Anomaly detection methods have a wide range of applications including the development of security and environmental monitoring systems, the identification of artificially edited records, restoration of archival audio recordings of cultural value for a certain time period of society development and formation, the fight against so-called deepfakes, encryption and decryption of classified information encoded in audio data and much more. Modern technologies and techniques make it possible to efficiently eliminate the found defects by mathematical manipulation of the signal by an audio engineer or using smart and adaptive digital signal editing tools. However, for this purpose, the defect must be accurately detected and localized, its type and the possible origin must also be determined. There is special software developed within the framework of this work to solve the problem of automatic detection of defects in a digital signal of an audio record. It was verified on digitized audio records of various quality. Since digital media data including audio records have a large size, the aspect of parallel distributed processing is of particular importance during the analysis. Due to this fact, the developed defect detection code was upgraded to take into account the need to run on Intel Xeon Phi Knights Landing massively parallel microprocessors and demonstrated high scaling efficiency.","PeriodicalId":381314,"journal":{"name":"Международный журнал \"Программные продукты и системы\"","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121519674","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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