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This research aim was to analyze problems, which educational systems are facing in the global upheaval era, statement of tasks, which must be solved, as well as search for solutions. The engineering education system has been improved in recent years through the use of new features, which are provided by e-learning software. Future engineers will require such skills as creative thinking, ability to make informed, effective decisions, as well as social responsibility and eco-thinking. The research was carried out on the tools used to organize online learning during the COVID-19 pandemic in several universities. It gave a possibility to compare the effectiveness of using different virtual environments to organize the training of different profiles’ engineers, as well as to analyze the educational content and its difference from that used in traditional classroom teaching. To make a correct assessment, evaluation criteria were identified, which can be formalized, and also motivational characteristics were classified, which can be influenced on the quality improvement. For a case study, different student’s groups were selected to compare them involvement in the process with traditional and online training forms as well as their performance. Additionally, was done an analysis how a training form impacts on their projects quality.
Irina Makarova; Anton Pashkevich; Polina Buyvol; Eduard Mukhametdinov; Vadim Mavrin. Online Learning as a Necessary Measure During a Pandemic and as an Opportunity to Increase the Engineering Education Efficiency. Advances in Intelligent Systems and Computing 2021, 1328, 608 -620.
AMA StyleIrina Makarova, Anton Pashkevich, Polina Buyvol, Eduard Mukhametdinov, Vadim Mavrin. Online Learning as a Necessary Measure During a Pandemic and as an Opportunity to Increase the Engineering Education Efficiency. Advances in Intelligent Systems and Computing. 2021; 1328 ():608-620.
Chicago/Turabian StyleIrina Makarova; Anton Pashkevich; Polina Buyvol; Eduard Mukhametdinov; Vadim Mavrin. 2021. "Online Learning as a Necessary Measure During a Pandemic and as an Opportunity to Increase the Engineering Education Efficiency." Advances in Intelligent Systems and Computing 1328, no. : 608-620.
Accelerating urbanization leads to an increase in transport fleets. The road infrastructure does not have time to develop at the same pace, it gives rise to problematic situations in the field of organization and road safety. In order to solve these problems, an information managerial system has been developed. It aggregates information from several databases (information on traffic intensity, statistics of road traffic accidents, location and characteristics of infrastructure objects). Decisions are made on the basis of multivariate data analysis and computer experiments on simulated micro-models of the road network problem areas. The practical significance of the system lies in the ability to calculate the effects of the implementation of the proposed solutions at the stage of development of projects for the modernization and reconstruction of the road network parameters. The system can also be used for operational management decisions in the event of extreme situations in the city transport system (lockdown, public events).
Polina Buyvol; Gulnara Yakupova; Vladimir Shepelev; Eduard Mukhametdinov; Aleksey Boyko. Mobility and Road Safety Improvement by Optimizing Smart City Infrastructure Parameters: A Case Study. Inventive Computation and Information Technologies 2021, 195, 507 -517.
AMA StylePolina Buyvol, Gulnara Yakupova, Vladimir Shepelev, Eduard Mukhametdinov, Aleksey Boyko. Mobility and Road Safety Improvement by Optimizing Smart City Infrastructure Parameters: A Case Study. Inventive Computation and Information Technologies. 2021; 195 ():507-517.
Chicago/Turabian StylePolina Buyvol; Gulnara Yakupova; Vladimir Shepelev; Eduard Mukhametdinov; Aleksey Boyko. 2021. "Mobility and Road Safety Improvement by Optimizing Smart City Infrastructure Parameters: A Case Study." Inventive Computation and Information Technologies 195, no. : 507-517.
Globalization and the openness of the world in case of emergencies can lead to a collapse in many areas and, as a result, to an imbalance of economic systems. In such conditions, the education system should maintain stability, be sufficiently flexible in terms of teaching methods and technologies, as well as the management of processes. In the authors’ opinion, the most effective tool to manage reactively the learning process as a complex system is a feedback. In order that teachers have a real opportunity to control the quality of this process, it is necessary to identify objective criteria for the assessment of quality in the context of the differentiation of motivational attributes. In addition, this way provides for teaching staff a possibility to evaluate the effectiveness of a particular method to influence on the motivational criteria. As a case study, different student’s groups were selected to compare their involvement in the process with traditional and online forms of learning, their performance and the impact of the learning form on the projects quality prepared by students.
Irina Makarova; Vadim Mavrin; Polina Buyvol; Eduard Mukhametdinov; Kirill Magdin; Alexander Gritsenko. New Challenges for the Engineering Education System and Ways of Their Solutions. Inventive Computation and Information Technologies 2021, 195, 837 -847.
AMA StyleIrina Makarova, Vadim Mavrin, Polina Buyvol, Eduard Mukhametdinov, Kirill Magdin, Alexander Gritsenko. New Challenges for the Engineering Education System and Ways of Their Solutions. Inventive Computation and Information Technologies. 2021; 195 ():837-847.
Chicago/Turabian StyleIrina Makarova; Vadim Mavrin; Polina Buyvol; Eduard Mukhametdinov; Kirill Magdin; Alexander Gritsenko. 2021. "New Challenges for the Engineering Education System and Ways of Their Solutions." Inventive Computation and Information Technologies 195, no. : 837-847.
In order to improve traffic safety, the authors conducted an analysis to identify the causes significantly affecting the severity of road accidents. The study employed the methods of descriptive statistics and variance analysis. Aside from a vastly used time factor, which includes the month, day of the week and immediate time of the day the accident occurred, we also considered such affecting factors as weather conditions, road and infrastructure parameters, state of the driver, type of the accident and type of the violation. We identified and ranked the factors, which have a significant influence on the target variable characterizing accident severity — the number of road traffic injuries. We also established the efficiency of the taken measures affecting the selected factors.
Gulnara Yakupova; Polina Buyvol; Vladimir Shepelev. Identification of factors affecting the road traffic injury rate. Transportation Research Procedia 2020, 50, 735 -742.
AMA StyleGulnara Yakupova, Polina Buyvol, Vladimir Shepelev. Identification of factors affecting the road traffic injury rate. Transportation Research Procedia. 2020; 50 ():735-742.
Chicago/Turabian StyleGulnara Yakupova; Polina Buyvol; Vladimir Shepelev. 2020. "Identification of factors affecting the road traffic injury rate." Transportation Research Procedia 50, no. : 735-742.
The purpose of the transport system is providing access to goods, jobs and services. However, the increase in the level of transport services provision is accompanied by negative consequences. Within the concept of sustainable development of urban transport systems, it is necessary to ensure a safe environmental load for people. Therefore, the purpose of this study is the search and testing of methods to correctly estimate the degree of environmental impact by road transport, reducing the environmental burden, and substantiating the rationality of the implementation of the proposed measures for greening transport. As research methods were used: the theory of traffic flows, simulation, computer experiment, methods of direct measurement of environmental emissions on the road segment under study. The use of simulation allows to find an acceptable solution for the volume of exhaust gases and noise pollution, by varying the parameters of the transport system objects (the configuration of the road network, the characteristics and modes of operation of the road infrastructure elements). It is shown that micromodelling is an effective approach, in which the unit of modeling is a separate vehicle. It makes possible to take into account the individual characteristics of the vehicle (current mileage, engine type, environmental safety class), which allows an estimation of the environmental impact of the vehicle fleet operating in the area. Examples of using this approach are given, computer experiments on specific sections of the road network are conducted (in particular at intersections of multi-lane roads with traffic lights, as well as locations of road service facilities, such as gas stations, car parks, etc., which increase the negative environmental impact on the adjacent territory).
Irina Makarova; Polina Buyvol; Kirill Magdin; Anton Pashkevich; Alekxey Boyko; Ksenia Shubenkova. Usage of Microscopic Simulation to Estimate the Environmental Impact of Road Transport. Transportation Research Procedia 2020, 44, 86 -93.
AMA StyleIrina Makarova, Polina Buyvol, Kirill Magdin, Anton Pashkevich, Alekxey Boyko, Ksenia Shubenkova. Usage of Microscopic Simulation to Estimate the Environmental Impact of Road Transport. Transportation Research Procedia. 2020; 44 ():86-93.
Chicago/Turabian StyleIrina Makarova; Polina Buyvol; Kirill Magdin; Anton Pashkevich; Alekxey Boyko; Ksenia Shubenkova. 2020. "Usage of Microscopic Simulation to Estimate the Environmental Impact of Road Transport." Transportation Research Procedia 44, no. : 86-93.
Irina Makarova; Gulnara Yakupova; Polina Buyvol; Ksenia Shubenkova; Kuanysh Abeshev; Maria Drakaki. Improving Road Safety by Affecting Negative Factors. Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems 2019, 629 -637.
AMA StyleIrina Makarova, Gulnara Yakupova, Polina Buyvol, Ksenia Shubenkova, Kuanysh Abeshev, Maria Drakaki. Improving Road Safety by Affecting Negative Factors. Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems. 2019; ():629-637.
Chicago/Turabian StyleIrina Makarova; Gulnara Yakupova; Polina Buyvol; Ksenia Shubenkova; Kuanysh Abeshev; Maria Drakaki. 2019. "Improving Road Safety by Affecting Negative Factors." Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems , no. : 629-637.
High rates of urbanization and the growth of the number of metropolitan cities leads to the growth of the necessity for transportation of people and cargo. The attempts to solve the problem of mobility by using personal transport lead to the growth of automobilization. It is reflected adversely on the security of transport systems of cities. One of the ways to solve this problem is a part of the concept of a Smart City. Smart Mobility is one of the main directions of development of its transport system. At that, together with intellectualization of control one more question is being solved: transfer to more secure, stable and pure types of transport, such as bicycles. Its democratic nature and availability, cheapness and environmental friendliness, and the fact that it promotes the healthy way of life are the reasons of popularity of this transport. At the same time bicyclers, as well as pedestrians, are the least protected category of road users. Measures to ensure the safety of road traffic are usually aimed either at prevention of accidents or, if it’s impossible, at the reduction of severity of consequences. From our point of view the most important thing is developing measures for prevention of road accidents. Organizational and management solutions are often very effective at little cost. Thus, one of such methods is choosing safe routes. At the present time there are multiple navigational systems and route planners. Cartographic information is used in these systems and that helps to construct possible variants of routes between points A and B. However these routes are not assessed from the point of view of their security. At the same time there is statistics of road accidents which gives us the opportunity to find the most dangerous sections of road network. One of the possible system alternatives of assessment of the route security for different types of road traffic participants is described in the article. The developed system is based on multifactorial information analysis. Characteristics of different sections of road network as well as data on road traffic accidents are used for evaluating the levels of security of road sections. Correction factors enable taking into account the peculiarities of each type of road users. The developed algorithm is implemented as a computer application.
Ksenia Shubenkova; Aleksey Boyko; Polina Buyvol. The technique of choosing a safe route as an element of smart mobility. Transportation Research Procedia 2018, 36, 718 -724.
AMA StyleKsenia Shubenkova, Aleksey Boyko, Polina Buyvol. The technique of choosing a safe route as an element of smart mobility. Transportation Research Procedia. 2018; 36 ():718-724.
Chicago/Turabian StyleKsenia Shubenkova; Aleksey Boyko; Polina Buyvol. 2018. "The technique of choosing a safe route as an element of smart mobility." Transportation Research Procedia 36, no. : 718-724.
The growth of urbanization, which mobility demand increases, leads to an growth in the transport complex's negative impact on the environment. This causes the urgency focused of “green” types of transport, such as a bicycle. The growing popularity of this transport type throughout the world is due to its low cost and environmental friendliness. To expand the potential cyclists, range, we offer the smart bike concept that will help an untrained cyclist in situations where health, as well as environmental parameters, create difficulties for the trip. The concept of bicycle management, as well as the algorithm for identifying the current state of the system, based on the neural networks, are described.
Irina Makarova; Polina Buyvol; Ksenia Shubenkova; Eduard Tsybunov; Aleksey Boyko. Development of Intelligent Smart Bicycle Control System. 2018 IEEE East-West Design & Test Symposium (EWDTS) 2018, 1 -8.
AMA StyleIrina Makarova, Polina Buyvol, Ksenia Shubenkova, Eduard Tsybunov, Aleksey Boyko. Development of Intelligent Smart Bicycle Control System. 2018 IEEE East-West Design & Test Symposium (EWDTS). 2018; ():1-8.
Chicago/Turabian StyleIrina Makarova; Polina Buyvol; Ksenia Shubenkova; Eduard Tsybunov; Aleksey Boyko. 2018. "Development of Intelligent Smart Bicycle Control System." 2018 IEEE East-West Design & Test Symposium (EWDTS) , no. : 1-8.
Reliability is currently one of the factors affecting the competitiveness of vehicles. Vehicles become highly reliable due to the integrated approach to all stages of their “life cycle”: design, production and operation. The most important for the manufacturer is the warranty service, because this stage is characterized by an increased probability of failure, and the manufacturer takes responsibility for their elimination. The authors propose to take into account the risks of failures of various units, assemblies and systems of the car during the appointment of the warranty period. This study used the statistics of failures received from the dealer and the service network, and from the reliability department of the engine manufacturer. The results of the study show that the use of the proposed methodology will reduce the costs of the truck manufacturer.
Irina Makarova; Anton Pashkevich; Polina Buyvol; Eduard Mukhametdinov. Risk Analysis in the Appointment of the Trucks’ Warranty Period Operation. Advances in Intelligent Systems and Computing 2018, 293 -302.
AMA StyleIrina Makarova, Anton Pashkevich, Polina Buyvol, Eduard Mukhametdinov. Risk Analysis in the Appointment of the Trucks’ Warranty Period Operation. Advances in Intelligent Systems and Computing. 2018; ():293-302.
Chicago/Turabian StyleIrina Makarova; Anton Pashkevich; Polina Buyvol; Eduard Mukhametdinov. 2018. "Risk Analysis in the Appointment of the Trucks’ Warranty Period Operation." Advances in Intelligent Systems and Computing , no. : 293-302.
The analysis of optimization methods of the flow organization of technological assembly processes, shows that the problem should be solved in a complex manner. The scheme of interaction of decision support system (DSS) modules for the automotive enterprise is presented. The simulation model of the process of installing a pre-starting liquid engine heater (PLEH) is developed. The adequacy assessment of the developed simulation model is carried out based on the average values of the model and system responses. The optimization of the simulation model based on the number of distributed workers in positions is made. The average installation time of one PLEH decreased by 12%, the maximum time - by 9.5%.
Irina Makarova; Polina Buyvol; Ksenia Shubenkova; Anton Pashkevich. Automotive Enterprises Flow Production Improvement Based on the Management Process Intellectualization. 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA) 2018, 115 -118.
AMA StyleIrina Makarova, Polina Buyvol, Ksenia Shubenkova, Anton Pashkevich. Automotive Enterprises Flow Production Improvement Based on the Management Process Intellectualization. 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA). 2018; ():115-118.
Chicago/Turabian StyleIrina Makarova; Polina Buyvol; Ksenia Shubenkova; Anton Pashkevich. 2018. "Automotive Enterprises Flow Production Improvement Based on the Management Process Intellectualization." 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA) , no. : 115-118.
Existing organization schemes of the vehicles’ diagnostics are considered in the article and interactive complex vehicle diagnostic system is proposed on the basis of this analysis. The diagnostic algorithm is presented. To implement it, the intelligent diagnostic system based on monitoring the residual life of the vehicle’s units and assemblies is developed. It consists of Server of diagnostics, Autonomous information-diagnostic blocks and Display and control unit. Currently, module for collection and processing information is developed. Operational tests of the vehicles when the sensors were installed were carried out together with manufacturer “KAMAZ”.
Eduard Tsybunov; Ksenia Shubenkova; Polina Buyvol; Eduard Mukhametdinov. Interactive (Intelligent) Integrated System for the Road Vehicles’ Diagnostics. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018, 195 -204.
AMA StyleEduard Tsybunov, Ksenia Shubenkova, Polina Buyvol, Eduard Mukhametdinov. Interactive (Intelligent) Integrated System for the Road Vehicles’ Diagnostics. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2018; ():195-204.
Chicago/Turabian StyleEduard Tsybunov; Ksenia Shubenkova; Polina Buyvol; Eduard Mukhametdinov. 2018. "Interactive (Intelligent) Integrated System for the Road Vehicles’ Diagnostics." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 195-204.
Accelerating digitalization of modern society increases the demand for engineers with creative thinking that leads to the development of a new philosophy of education - Smart Education. The article considers requirements for the educational system in transition to the concept “Industry 4.0”. Examples of interaction between Kazan Federal University and the Public Corporation “KAMAZ” in engineers training are presented.
Irina Makarova; Ksenia Shubenkova; Polina Buyvol; Vadim Mavrin; Eduard Mukhametdinov. Interaction between education and business in digital era. 2018 IEEE Industrial Cyber-Physical Systems (ICPS) 2018, 503 -508.
AMA StyleIrina Makarova, Ksenia Shubenkova, Polina Buyvol, Vadim Mavrin, Eduard Mukhametdinov. Interaction between education and business in digital era. 2018 IEEE Industrial Cyber-Physical Systems (ICPS). 2018; ():503-508.
Chicago/Turabian StyleIrina Makarova; Ksenia Shubenkova; Polina Buyvol; Vadim Mavrin; Eduard Mukhametdinov. 2018. "Interaction between education and business in digital era." 2018 IEEE Industrial Cyber-Physical Systems (ICPS) , no. : 503-508.
Irina Makarova; Ksenia Shubenkova; Vadim Mavrin; Polina Buyvol. IMPROVING SAFETY ON THE CROSSWALKS WITH THE USE OF FUZZY LOGIC. Transport Problems 2018, 13, 97 -109.
AMA StyleIrina Makarova, Ksenia Shubenkova, Vadim Mavrin, Polina Buyvol. IMPROVING SAFETY ON THE CROSSWALKS WITH THE USE OF FUZZY LOGIC. Transport Problems. 2018; 13 (1):97-109.
Chicago/Turabian StyleIrina Makarova; Ksenia Shubenkova; Vadim Mavrin; Polina Buyvol. 2018. "IMPROVING SAFETY ON THE CROSSWALKS WITH THE USE OF FUZZY LOGIC." Transport Problems 13, no. 1: 97-109.
Currently, intellectualization processes cover all areas of activity, which is accompanied by an increase in the requirements for the competence of engineers. At the same time, interest of young people in obtaining an engineering education has decreased in many countries. The authors have studied the causes of this phenomenon. The article is devoted to analysis of relation between the quality of engineering education and the level of students motivation. Ways to increase motivation through the application of innovative technologies and creation the learning outcomes monitoring system are considered.
Irina Makarova; Ksenia Shubenkova; Danila Tikhonov; Polina Buyvol. Improving the Quality of Engineering Education by Developing the System of Increasing Students’ Motivation. Advances in Intelligent Systems and Computing 2018, 150 -161.
AMA StyleIrina Makarova, Ksenia Shubenkova, Danila Tikhonov, Polina Buyvol. Improving the Quality of Engineering Education by Developing the System of Increasing Students’ Motivation. Advances in Intelligent Systems and Computing. 2018; ():150-161.
Chicago/Turabian StyleIrina Makarova; Ksenia Shubenkova; Danila Tikhonov; Polina Buyvol. 2018. "Improving the Quality of Engineering Education by Developing the System of Increasing Students’ Motivation." Advances in Intelligent Systems and Computing , no. : 150-161.
The quality of automobiles efficiency maintaining is largely determined by the effectiveness of providing system of dealer and service centers with spare parts. It is necessary to analyze the characteristics of suppliers and the distribution of flow requests for spare parts, taking into account reliability factor of the supplier by the control center of the firm service system. The authors proposed a methodology for multi-criteria evaluation of the spare parts suppliers, which is determined not only by the reliability of compliance with the terms of supply and the organization of logistics processes, as well as the reliability and quality of the spare parts themselves. Also, in order to assess the probability of fulfillment of obligations by the new supplier, a methodology for forecasting such indicators characterizing the supplier’s reliability, as the delivery time, the spare part quality and the level of shortages, is described with usage of logistic regression.
Irina Makarova; Ksenia Shubenkova; Polina Buyvol; Eduard Mukhametdinov. Intellectualization of the Spare Parts Supplier Selection by the Analysis of Multi-criterial Solutions. Inventive Computation and Information Technologies 2018, 300 -310.
AMA StyleIrina Makarova, Ksenia Shubenkova, Polina Buyvol, Eduard Mukhametdinov. Intellectualization of the Spare Parts Supplier Selection by the Analysis of Multi-criterial Solutions. Inventive Computation and Information Technologies. 2018; ():300-310.
Chicago/Turabian StyleIrina Makarova; Ksenia Shubenkova; Polina Buyvol; Eduard Mukhametdinov. 2018. "Intellectualization of the Spare Parts Supplier Selection by the Analysis of Multi-criterial Solutions." Inventive Computation and Information Technologies , no. : 300-310.
Irina Makarova; Ksenia Shubenkova; Polina Buyvol. Intellectualization of the management processes at the enterprise of automotive industry. Proceedings of the International Conference on Geoinformatics and Data Analysis 2018, 1 .
AMA StyleIrina Makarova, Ksenia Shubenkova, Polina Buyvol. Intellectualization of the management processes at the enterprise of automotive industry. Proceedings of the International Conference on Geoinformatics and Data Analysis. 2018; ():1.
Chicago/Turabian StyleIrina Makarova; Ksenia Shubenkova; Polina Buyvol. 2018. "Intellectualization of the management processes at the enterprise of automotive industry." Proceedings of the International Conference on Geoinformatics and Data Analysis , no. : 1.