Online Library. Theme: (p.12)

Found: 331
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Title:Recognition and Clustering of Road Pavement Defects by Deep Machine Learning Methods
Author:Finogeev Alexey   Финогеев Антон Алексеевич    
Type:Article
Kind:Electronic copy
Annotation:The paper discusses an approach to detecting and classifying pavement defects in images of road sections obtained from photographs and video frames in the process of road scanning. A modern way to reduce the risks of road incidents is to implement technologies for monitoring and analyzing various factors in order to assess their impact on accident rates. One of the factors is pavement defects, which deteriorate the performance of roads and become the causes of road incidents and vehicle damage. The aim of the study is to recognize roadway defects based on their degree of contrast compared to defect-free sections. The main problems are the accuracy of recognizing and classifying defects under conditions of noise associated with weather conditions and lighting, as well as the inaccuracy of determining their geometric dimensions from two-dimensional images. To solve the problems of detection, recognition and classification of pavement defects with acceptable accuracy in image processing with noise, we developed an approach that includes two methods: a) a method using IoU-HOG-ACM-BoVW algorithms for recognition and classification of high noise images, b) a method of segmentation and recognition using convolutional neural network MaskR-CNN for recognition and classification of low noise images. The algorithms for solving the problems of segmenting road pavement images into parts with detected damages, determining the boundaries and geometric dimensions of defects, classifying damages by type, clustering and ranking road segments according to the operational condition of the road pavement to reduce accidents, improve traffic safety and planning repair work on highways are considered. The proposed approach includes two methods: the first is a method for estimating road segments based on their clustering using the DBSCAN algorithm, taking into account noise and the distribution density of similar segments on a digital map. The method identifies clusters of dangerous road segments and ranks them according to the operational condition of the road surface. The approach increases the level of road safety and allows efficient allocation of resources for repair and preventive works. The paper discusses a methodology for assessing road safety in selected clusters of road sections. A noise-aware clustering algorithm can identify the distribution densities of similar sections with different defects, identify patterns of their occurrence, detect anomalies, and provide decision-making for repair planning. Imagine a scenario where accidents and maintenance costs can be reduced by identifying problem road sections in advance
Publication date:2024
Publishing house:Machine Learning Methods in Systems. CSOC 2024.
Title:Reconditioning of Engine Crankshafts
Author:Скрябин Владимир Александрович  
Type:Article
Kind:Electronic copy
Publication date:2023
Publishing house:Allerton Press, Inc.
Title:Recovery of the Input Signals of Eddy-Current Displacement Transducers Under Thermal-Shock Actions
Author:Кикот Виктор Викторович    Кривулин Николай Петрович  Маланин Владимир Павлович  
Type:Article
Kind:Electronic copy
Publication date:2019
Publishing house:Springer New York LLC
Title:Reliability analysis of complex systems based on the probability dynamics of subsystem failures and deviation of parameters
Author:Гришко Алексей Константинович  Юрков Николай Кондратьевич  Горячев Николай Владимирович  
Type:Article
Kind:Electronic copy
Publication date:2017
Publishing house:Издательство Львовского политехнического института, Украина
Title:Reliability control of complex systems at different stages of their life cycle
Author:Гришко Алексей Константинович  Андреев Павел Геннадьевич  Горячев Николай Владимирович  Трусов Василий Анатольевич  Данилова Евгения Анатольевна  
Type:Article
Kind:Electronic copy
Publication date:2018
Publishing house:Institute of Electrical and Electronics Engineers Inc
Title:Repair Technology for Turbo Compressors
Author:Скрябин Владимир Александрович  
Type:Article
Kind:Electronic copy
Publication date:2023
Publishing house:Allerton Press, Inc.
Title:Representing cyber-physical systems as the system of the third type – to complexity
Author:Безбородова Оксана Евгеньевна  
Type:Article
Kind:Electronic edition
Annotation:The analysis of works in the field of forecasting the behavior of systems allows us to conclude that, including for forecasting purposes, all systems are divided into several types. Firstly, deterministic systems, the behavior of which can be absolutely accurately predicted. Secondly, stochastic systems, whose states depend not only on controlled, but also on uncontrolled influences, or if they themselves contain sources of randomness. In this case, a probabilistic approach is used in forecasting, estimating the probability of achieving a future state. Some authors identify a third type of systems, which are characterized by maximum uncertainty of dynamics. The aim of the work is to develop a formal logical model of a cyberphysical system as a system of the third type. The formal logical model and structure of the cyberphysical system proposed by the authors make it possible to evaluate the physical and information processes occurring in the subsystems of the cyberphysical system in a new paradigm. Based on the conducted research, the correspondence of such elements of the cyberphysical system as man and the environment to systems of the third type has been established. These examples show the possibility of obtaining new knowledge in the analysis of a cyberphysical system in the paradigm of systems of the third type. The conducted research shows the possibility of applying algorithms for analyzing systems of the third type developed for biological systems to cyberphysical systems consisting of humans and the environment. The prospects for use lie in the development of algorithms for predicting the behavior of such systems.
Publication date:2025
Publishing house:Springer
Title:Research and Analysis of Computing Cluster Configuration Management Systems
Author:Бикташев Равиль Айнулович  
Type:Article
Kind:Electronic copy
Publication date:2023
Publishing house:Springer
Title:Research and Analysis of Well-Known Solutions and Development of DNS Server Software in the Infrastructure of the Digital Economy
Author:Бикташев Равиль Айнулович  
Type:Article
Kind:Electronic copy
Annotation:The article presents a study and analysis of known solutions and implementations of DNS servers, as well as the development of DNS server software, for which modern programming tools and technologies are used. In the process of development, the requirements for performance, scalability, security and reliability of DNS server are taken into account. The development of an efficient DNS server is an urgent task in today's digital economy. This paper aims to develop an efficient and reliable DNS server that will meet the requirements of the infrastructure of the digital economy. The results obtained can be used by organizations and enterprises to ensure stable and efficient operation of their network infrastructure. Also, the results of this work can be used to improve the quality of user experience in the field of Internet services, as DNS servers play an important role in ensuring the availability of web resources. The results are verified in real world conditions by testing the developed DNS server. Experiments are conducted to evaluate the performance and reliability of DNS server under different loads and usage conditions. The main results of this research are given in conclusion.
Publication date:2024
Publishing house:Springer
Title:Research Competence for development of distance education in Russian universities
Author:Кревский Игорь Гершевич  Бершадский Александр Моисеевич  Glotova Tatiana   
Type:Article
Kind:Electronic copy
Publication date:2018
Publishing house:IGI Global, Hershey, PA, USA
Title:Research into the Influence of Informative Speech Parameters on the Reliability of RNN-based Classification of Human Emotional States
Author:Алимурадов Алан Казанферович  Tychkov Alexander   Тычкова Анна Николаевна  Мясникова Мария Геннадьевна  Дудников Дмитрий Сергеевич  Моисеев Даниил Сергеевич  
Type:Article
Kind:Electronic copy
Publication date:2024
Publishing house: Institute of Electrical and Electronics Engineers
Title:Research of filtration methods for reference social profile data
Author:Тимонин Алексей Юрьевич  Bozhday Alexander  Бершадский Александр Моисеевич  
Type:Article
Kind:Electronic copy
Publication date:2016
Title:Research of geometrical parameters of blur of the image of the round tag at her reciprocating vibration movement
Author:Григорьев Алексей Валерьевич  Трусов Василий Анатольевич  Наумова Ирина Юрьевна  Фомин Марк Викторович  Дружинин Николай Юрьевич  
Type:Article
Kind:Electronic copy
Publication date:2018
Publishing house:Издательство Национального исследовательского университета Высшая школа экономики (НИУ ВШЭ)
Title:Research of projection of the vector of vibration movement of the object plane
Author:Григорьев Алексей Валерьевич  Баннов Валерий Яковлевич    Чувашлёв Кирилл Александрович    
Type:Article
Kind:Electronic copy
Publication date:2018
Publishing house:Издательство Национального исследовательского университета Высшая школа экономики (НИУ ВШЭ)
Title:Restoration of Shutoff Valve Parts.
Author:Скрябин Владимир Александрович  
Type:Article
Kind:Electronic copy
Publication date:2025
Publishing house:Allerton Press, Inc.
Title:Restoration of the Water Pump Shaft.
Author:Скрябин Владимир Александрович  
Type:Article
Kind:Electronic copy
Publication date:2025
Publishing house:Allerton Press, Inc.
Title:Restoring Machine Parts via Hard Alloy Surfacing.
Author:Скрябин Владимир Александрович  
Type:Article
Kind:Electronic copy
Publication date:2024
Publishing house:Allerton Press, Inc.
Title:Restoring the Camshaft Support Frame and Diesel Engine Valves
Author:Скрябин Владимир Александрович  
Type:Article
Kind:Electronic copy
Publication date:2024
Publishing house:Springer Nature, Palgrave Macmillan
Title:Review and Analysis of Information Security Issues in Data Exchange and Management of a Virtualized Environment of Remote Data Processing Centers
Author:Бикташев Равиль Айнулович  Мартышкин Алексей Иванович  Бершадская Елена Григорьевна  
Type:Article
Kind:Electronic copy
Annotation:The article deals with issues related to information security when exchanging data and managing a virtualized environment of remote data processing centers. As of today, it has become clear, that many enterprises have switched to the use of virtualization and cloud computing systems. Therefore, there appears an important task to design and implement a reliable and efficient information security system. The article contains an analysis of the mechanisms for building a data center, and models for providing services. It also contains consideration of the existing attacks on VI (virtual infrastructure) and measures proposed to ensure a high level of system security. The purpose of the article is to study and analyze security issues in information exchange and management of a virtualized environment of remote data centers. According to the goal set in the article, there was conducted a study of the problems of information security in the exchange of data and management of the virtualization environment of remote data centers. This study has resulted in a given list of measures and recommendations aimed at the increase of the security level of information protection systems in the data center. The practical significance of the results obtained in the article lies in the formation of recommendations for setting up the data center information security system. The conclusion of the article contains inferences drawn on the results of the study. © 2022 IEEE.
Publication date:2022
Publishing house:Institute of Electrical and Electronics Engineers Inc.
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Found: 331