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Papers by Alexey Finogeev

Sovremennye naukoëmkie tehnologii, 2024

Аннотация. Цель работы представляет собой предиктивный и сравнительный анализы временных рядов по... more Аннотация. Цель работы представляет собой предиктивный и сравнительный анализы временных рядов показателей аварийности и факторов влияния для обнаружения корреляций между их сегментами в прошлом и прогнозированием появления аналогичных паттернов и их сочетаний, которые приводят к рискам возникновения критических событий, в будущем. Анализ показателей аварийности и причин их возникновения может быть выполнен на базе исследования данных, представленных в виде набора временных рядов. В статье рассматриваются вопросы применения методов глубокого обучения и нейронных сетей для прогнозирования и сравнительного анализа будущих сочетаний паттернов временных рядов. В качестве метода предиктивного анализа предлагается использовать подход с использованием модели рекуррентной нейронной сети, дополненной архитектурой трансформера. Механизм внимания трансформера позволяет эффективно прогнозировать длинные временные ряды показателей аварийности и факторов влияния. Временные ряды формируются по данным, которые извлекаются с фоторадарных комплексов фото-и видеофиксации в дорожно-транспортной среде. Результатами исследований является модель рекуррентной нейронной сети с трансформером, методика ее синтеза и глубокого обучения на примере больших данных о зафиксированных проездах транспортных средств и нарушениях ими скоростного режима на участках автомагистралей. Ключевые слова: безопасность дорожного движения, рекуррентная нейронная сеть, трансформер, механизм внимания, временной ряд, прогнозирование временного ряда, показатели аварийности Исследование выполнено при поддержке гранта Российского научного фонда (проект № 20-71-10087).

Communications in computer and information science, Dec 31, 2022

Models, systems, networks in economics, technology, nature and society

Lecture notes in networks and systems, 2023

Известия Волгоградского государственного технического университета, 2016

Известия Волгоградского государственного технического университета, 2012

Multi-access Edge Computing (MEC), formerly Mobile Edge Computing, is a network architecture conc... more Multi-access Edge Computing (MEC), formerly Mobile Edge Computing, is a network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network and, more in general at the edge of any network. The basic idea behind MEC is that by running applications and performing related processing tasks closer to the cellular customer, network congestion is reduced and applications perform better. In the present book, fifteen typical literatures about mobile edge computing published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on network architecture, cell site, radio access network, distributed computing in the RAN, domain name system, etc. We hope this book can demonstrate advances in mobile edge computing as well as give references to the researchers, students and other related people.

Известия Волгоградского государственного технического университета, 2012

Algorithms, Jan 16, 2023

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Telematics and informatics reports, Jun 1, 2023

Известия высших учебных заведений, 2018

Известия Волгоградского государственного технического университета, 2016

Современные проблемы науки и образования, 2012

The article, the authors presented a system for proactive monitoring and forecasting of the risks... more The article, the authors presented a system for proactive monitoring and forecasting of the risks of road traffic accidents, depending on the influence of external factors. To solve the problem, a method for analysis and predictive modeling of changes in the road transport infrastructure has been developed to predict the risks of occurrence and development of destructive events under the influence of external factors. The purpose is to determine, assess and predict the dynamics of changes in factors that affect the likelihood of the occurrence of risks of accidents, depending on the current situation on the monitored road sections. For predictive risk analysis, information on the parameters of negative events and possible influencing factors obtained from various sources is presented in the form of a spectrum of time series. Comparative analysis of time series of event parameters and factors allows us to identify the causes of incidents and the correlation between factors and events. As factors of influence, meteorological conditions, parameters of auto-mobile and pedestrian traffic on road sections, the state of the road surface, characteristics of road sections, etc. are investigated. The monitoring system is implemented using a multi-agent approach, which involves the use of software agents on photoradar complexes for photo and video registration of road events and mobile communications. Agents solve a number of tasks of collecting, parsing, consolidating, analyzing and visualizing big sensory data.

Lecture notes in networks and systems, 2023

Lecture notes in networks and systems, 2023

Прикаспийский журнал: управление и высокие технологии, 2020

The purpose of the study is to improve the quality of the process of training specialists in the ... more The purpose of the study is to improve the quality of the process of training specialists in the process of updating educational programs and educational content, taking into account the changing requirements of professional standards and employers in the transition to an innovative economy. To achieve the goal, the following tasks were solved: methods for monitoring employers' requirements, educational and professional standards, models of life cycles of educational programs and electronic resources with stages of updating, methods for updating educational programs with adaptive adjustment to the requirements of employers in an intelligent educational environment. The authors investigated the problems of monitoring the requirements of employers and adapting electronic educational resources and programs to them, the features of their modernization in the continuous process of training specialists. New models for managing the processes of updating and personalizing educational content and training programs are considered. A methodology for adapting educational programs and content has been implemented using the tools of the Smart Learning Environment. The proposed models and methods make it possible to take into account the range of external conditions of the labor market and employers' requirements for educational programs and resources, build geotagged models to assess the territorial distribution of requirements for the competencies of specialists in the regions, taking into account the location of higher educational institutions in related fields.

Прикладная информатика, 2008

Modeli, sistemy, seti v èkonomike, tehnike, prirode i obŝestve, 2020

Sovremennye naukoëmkie tehnologii, 2024

Аннотация. Цель работы представляет собой предиктивный и сравнительный анализы временных рядов по... more Аннотация. Цель работы представляет собой предиктивный и сравнительный анализы временных рядов показателей аварийности и факторов влияния для обнаружения корреляций между их сегментами в прошлом и прогнозированием появления аналогичных паттернов и их сочетаний, которые приводят к рискам возникновения критических событий, в будущем. Анализ показателей аварийности и причин их возникновения может быть выполнен на базе исследования данных, представленных в виде набора временных рядов. В статье рассматриваются вопросы применения методов глубокого обучения и нейронных сетей для прогнозирования и сравнительного анализа будущих сочетаний паттернов временных рядов. В качестве метода предиктивного анализа предлагается использовать подход с использованием модели рекуррентной нейронной сети, дополненной архитектурой трансформера. Механизм внимания трансформера позволяет эффективно прогнозировать длинные временные ряды показателей аварийности и факторов влияния. Временные ряды формируются по данным, которые извлекаются с фоторадарных комплексов фото-и видеофиксации в дорожно-транспортной среде. Результатами исследований является модель рекуррентной нейронной сети с трансформером, методика ее синтеза и глубокого обучения на примере больших данных о зафиксированных проездах транспортных средств и нарушениях ими скоростного режима на участках автомагистралей. Ключевые слова: безопасность дорожного движения, рекуррентная нейронная сеть, трансформер, механизм внимания, временной ряд, прогнозирование временного ряда, показатели аварийности Исследование выполнено при поддержке гранта Российского научного фонда (проект № 20-71-10087).

Communications in computer and information science, Dec 31, 2022

Models, systems, networks in economics, technology, nature and society

Lecture notes in networks and systems, 2023

Известия Волгоградского государственного технического университета, 2016

Известия Волгоградского государственного технического университета, 2012

Multi-access Edge Computing (MEC), formerly Mobile Edge Computing, is a network architecture conc... more Multi-access Edge Computing (MEC), formerly Mobile Edge Computing, is a network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network and, more in general at the edge of any network. The basic idea behind MEC is that by running applications and performing related processing tasks closer to the cellular customer, network congestion is reduced and applications perform better. In the present book, fifteen typical literatures about mobile edge computing published on international authoritative journals were selected to introduce the worldwide newest progress, which contains reviews or original researches on network architecture, cell site, radio access network, distributed computing in the RAN, domain name system, etc. We hope this book can demonstrate advances in mobile edge computing as well as give references to the researchers, students and other related people.

Известия Волгоградского государственного технического университета, 2012

Algorithms, Jan 16, 2023

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Telematics and informatics reports, Jun 1, 2023

Известия высших учебных заведений, 2018

Известия Волгоградского государственного технического университета, 2016

Современные проблемы науки и образования, 2012

The article, the authors presented a system for proactive monitoring and forecasting of the risks... more The article, the authors presented a system for proactive monitoring and forecasting of the risks of road traffic accidents, depending on the influence of external factors. To solve the problem, a method for analysis and predictive modeling of changes in the road transport infrastructure has been developed to predict the risks of occurrence and development of destructive events under the influence of external factors. The purpose is to determine, assess and predict the dynamics of changes in factors that affect the likelihood of the occurrence of risks of accidents, depending on the current situation on the monitored road sections. For predictive risk analysis, information on the parameters of negative events and possible influencing factors obtained from various sources is presented in the form of a spectrum of time series. Comparative analysis of time series of event parameters and factors allows us to identify the causes of incidents and the correlation between factors and events. As factors of influence, meteorological conditions, parameters of auto-mobile and pedestrian traffic on road sections, the state of the road surface, characteristics of road sections, etc. are investigated. The monitoring system is implemented using a multi-agent approach, which involves the use of software agents on photoradar complexes for photo and video registration of road events and mobile communications. Agents solve a number of tasks of collecting, parsing, consolidating, analyzing and visualizing big sensory data.

Lecture notes in networks and systems, 2023

Lecture notes in networks and systems, 2023

Прикаспийский журнал: управление и высокие технологии, 2020

The purpose of the study is to improve the quality of the process of training specialists in the ... more The purpose of the study is to improve the quality of the process of training specialists in the process of updating educational programs and educational content, taking into account the changing requirements of professional standards and employers in the transition to an innovative economy. To achieve the goal, the following tasks were solved: methods for monitoring employers' requirements, educational and professional standards, models of life cycles of educational programs and electronic resources with stages of updating, methods for updating educational programs with adaptive adjustment to the requirements of employers in an intelligent educational environment. The authors investigated the problems of monitoring the requirements of employers and adapting electronic educational resources and programs to them, the features of their modernization in the continuous process of training specialists. New models for managing the processes of updating and personalizing educational content and training programs are considered. A methodology for adapting educational programs and content has been implemented using the tools of the Smart Learning Environment. The proposed models and methods make it possible to take into account the range of external conditions of the labor market and employers' requirements for educational programs and resources, build geotagged models to assess the territorial distribution of requirements for the competencies of specialists in the regions, taking into account the location of higher educational institutions in related fields.

Прикладная информатика, 2008

Modeli, sistemy, seti v èkonomike, tehnike, prirode i obŝestve, 2020