Development of Рredictive Еmission Мonitoring Systems

2020 ◽  
Vol 24 (10) ◽  
pp. 43-49
Author(s):  
V.A. Grachev ◽  
D.O. Skobelev ◽  
A.Yu. Popov
Keyword(s):  
Mathematical Models ◽  
Digital Technologies ◽  
Monitoring Systems ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Production Processes ◽  
Emission Monitoring

An overview of world experience in the development and implementation of emission monitoring systems for industrial enterprises, based on mathematical models is presented. The main problems of such systems have been analyzed, their advantages and disadvantages have been revealed. The authors have demonstrated that at Russian enterprises, the introduction of predictive emission monitoring systems was possible at the initial stages of transition to BAT as part of the digital technologies’ integration in production processes.

MATHEMATICS TEACHER EDUCATION AND THE FLEXIBLE USE OF TECHNOLOGIES IN DIGITAL AGE

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Hans-Georg Weigand
Keyword(s):  
Teacher Education ◽  
Mathematics Teacher ◽  
Industrial Revolution ◽  
Empirical Studies ◽  
Mathematics Teacher Education ◽  
Digital Technologies ◽  
Digital Age ◽  
Competence Model ◽  
Advantages And Disadvantages ◽  
Concept Representations

Advantages and disadvantages of the use of digital technologies (DT) in mathematics lessons are worldwidedissussed controversially. Many empirical studies show the benefitof the use of DT in classrooms. However, despite of inspiringresults, classroom suggestions, lesson plans and research reports,the use of DT has not succeeded, as many had expected during thelast decades. One reason is or might be that we have not been ableto convince teachers and lecturers at universities of the benefit ofDT in the classrooms in a sufficient way. However, to show thisbenefit has to be a crucial goal in teacher education because it willbe a condition for preparing teachers for industrial revolution 4.0.In the following we suggest a competence model, which classifies– for a special content (like function, equation or derivative) –the relation between levels of understanding (of the concept),representations of DT and different kind of classroom activities.The flesxible use of digital technologies will be seen in relationto this competence model, results of empirical investigations willbe intergrated and examples of the use of technologies in the upcoming digital age will be given.

Review of classification studies for machine learning in the development of intelligent management decision support systems

2020 ◽  
Vol 89 ◽  
pp. 20-29
Author(s):  
Sh. K. Kadiev ◽  
◽  
R. Sh. Khabibulin ◽  
P. P. Godlevskiy ◽  
V. L. Semikov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Decision Support ◽  
Mathematical Models ◽  
Decision Support Systems ◽  
Support Systems ◽  
Management Decision ◽  
Classification Methods ◽  
Advantages And Disadvantages ◽  
Intelligent Management ◽  
Management Decision Support

Introduction. An overview of research in the field of classification as a method of machine learning is given. Articles containing mathematical models and algorithms for classification were selected. The use of classification in intelligent management decision support systems in various subject areas is also relevant. Goal and objectives. The purpose of the study is to analyze papers on the classification as a machine learning method. To achieve the objective, it is necessary to solve the following tasks: 1) to identify the most used classification methods in machine learning; 2) to highlight the advantages and disadvantages of each of the selected methods; 3) to analyze the possibility of using classification methods in intelligent systems to support management decisions to solve issues of forecasting, prevention and elimination of emergencies. Methods. To obtain the results, general scientific and special methods of scientific knowledge were used - analysis, synthesis, generalization, as well as the classification method. Results and discussion thereof. According to the results of the analysis, studies with a mathematical formulation and the availability of software developments were identified. The issues of classification in the implementation of machine learning in the development of intelligent decision support systems are considered. Conclusion. The analysis revealed that enough algorithms were used to perform the classification while sorting the acquired knowledge within the subject area. The implementation of an accurate classification is one of the fundamental problems in the development of management decision support systems, including for fire and emergency prevention and response. Timely and effective decision by officials of operational shifts for the disaster management is also relevant. Key words: decision support, analysis, classification, machine learning, algorithm, mathematical models.

scholarly journals Detection of Road-Surface Anomalies Using a Smartphone Camera and Accelerometer

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 561
Author(s):  
Taehee Lee ◽  
Chanjun Chun ◽  
Seung-Ki Ryu
Keyword(s):  
Monitoring System ◽  
Poor Performance ◽  
Road Surface ◽  
Monitoring Systems ◽  
Advantages And Disadvantages ◽  
Acceleration Data ◽  
Road Surfaces ◽  
Road Surface Monitoring ◽  
Surface Monitoring ◽  
Acquisition Method

Road surfaces should be maintained in excellent condition to ensure the safety of motorists. To this end, there exist various road-surface monitoring systems, each of which is known to have specific advantages and disadvantages. In this study, a smartphone-based dual-acquisition method system capable of acquiring images of road-surface anomalies and measuring the acceleration of the vehicle upon their detection was developed to explore the complementarity benefits of the two different methods. A road test was conducted in which 1896 road-surface images and corresponding three-axis acceleration data were acquired. All images were classified based on the presence and type of anomalies, and histograms of the maximum variations in the acceleration in the gravitational direction were comparatively analyzed. When the types of anomalies were not considered, it was difficult to identify their effects using the histograms. The differences among histograms became evident upon consideration of whether the vehicle wheels passed over the anomalies, and when excluding longitudinal anomalies that caused minor changes in acceleration. Although the image-based monitoring system used in this research provided poor performance on its own, the severity of road-surface anomalies was accurately inferred using the specific range of the maximum variation of acceleration in the gravitational direction.

Methodological approaches to assessing the digitalization scale in types of economic activity in the region and the potential of digital technologies for the real economy

2021 ◽  
Vol 17 (8) ◽  
pp. 1519-1541
Author(s):  
Vitalii V. PECHATKIN ◽  
Liliya M. VIL'DANOVA
Keyword(s):  
Methodological Approach ◽  
Import Substitution ◽  
Digital Technologies ◽  
Industrial Sector ◽  
Digital Transformation ◽  
Real Economy ◽  
Economic Activities ◽  
The Real ◽  
Industrial Enterprises ◽  
Methodological Approaches

Subject. As digital technologies spread across all industries, active processes of digital transformation need to be managed both nationally and regionally. Assessing the extent of digitalization across types of economic activities is the key issue for setting up the socio-economic development strategy of the region and evaluating its efficiency. Objectives. The study is aimed to formulate and test methodological approaches to assessing the digitalization in types of economic activities and the potential of digital technologies for the real economy. Methods. The study relies upon the dialectical method, systems approach, questionnaires, expert approach, interpretation of empirical facts through tables, etc. Results. We devised a methodological approaches to assessing the extent of digitalization in types of economic activities across regions. The approach combines the quantification and evaluation of the process and helps determine the extent of local digital transformation at the regional level. We devised and tested the methodological approach to rating digital technologies, which have the high potential for raising the competitiveness and resilience to competition of the industrial sector in the Russian regions. As opposed to the existing approaches, the approach accounts for the current scale of digital technologies in the national economy, the potential for growth in the demand and supply in the domestic and foreign markets, and the potential for import substitution with respect to foreign technologies and products. Conclusions and Relevance. What makes the proposed methodological approaches more preferable is that they help assess not only the extent of digitalization in types of economic activities and the predominance of certain types in industrial enterprises, but also determine their potential for import substitution in terms of digital security.

BUILDING DEVELOPMENT PLANS FOR A CONSTRUCTION COMPANY BASED ON A DYNAMIC ASSESSMENT OF ITS LEVEL OF COMPETITIVENESS

2020 ◽  
Vol 6 (4) ◽  
pp. 295-319
Author(s):  
Vadim V. Krivorotov ◽  
Alexei V. Kalina ◽  
Sergei E. Erypalov ◽  
Maxim V. Aksenov
Keyword(s):  
Performance Indicators ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Construction Company ◽  
Advantages And Disadvantages ◽  
Industrial Enterprises ◽  
Stage Of Development ◽  
Development Cycle ◽  
Building Information ◽  
Integrated Information

Improving the competitiveness of Russian industrial enterprises (including the construction industry) is a priority task at the current stage of development of the country’s economy. The purpose of this study is to develop methodological tools that would allow building strategic plans for the development of a construction company using a dynamic method for assessing its competitiveness. The hypothesis is that the target parameters of the development of a construction company, which take into account the influence of competitive factors, inevitably increase its level. This article provides an analytical review of existing methods for assessing the competitiveness of enterprises, identifies their advantages and disadvantages. The authors have chosen the dynamic approach to assessing the competitiveness of an enterprise; they propose certain aspects of its modernization, taking into account the specifics of construction production; the main indicators and algorithms used in this approach are presented. The competitiveness of the PIK group, Russia’s largest construction company, was evaluated in comparison with the Swedish development company Skanska Group, which is successful on the world market. The most problematic performance indicators of the Russian company that have a negative impact on its competitiveness are identified. Modeling of the dependence of the company’s competitiveness level on these indicators is performed. The results show that the key tool for eliminating these shortcomings can be the introduction of integrated information modeling based on big data for the entire development cycle: building information modeling — BIM (Building Information Modeling), augmented and virtual reality (AR/VR) technologies, and customer relationship management systems (CRM), among some others. The authors show how the key performance indicators of the company change after the introduction of integrated information modeling of the entire development cycle and what the forecast level of the company’s competitiveness can be expected at the end of 2020.

Zerspanprozesse effizienter machen*/Making machining process more efficent - Recording and analysis of non-productive times in the automotive industry

2015 ◽  
Vol 105 (05) ◽  
pp. 301-306
Author(s):  
T. Bosch ◽  
W. Polley ◽  
S. Schöll ◽  
P. Klemm
Keyword(s):  
Automotive Industry ◽  
Mass Production ◽  
Machining Process ◽  
Sich Eine ◽  
Analysis Method ◽  
Negative Effects ◽  
Advantages And Disadvantages ◽  
Production Processes

Dieser Fachartikel geht auf die negativen Auswirkungen technischer Nebenzeiten für die Effizienz von Produktionsprozessen in der automobilen Großserienproduktion ein. Er zeigt in der Übersicht, welche Methoden sich zur Erfassung technischer Nebenzeiten eignen und welche Vor- und Nachteile sie besitzen. Nur mit diesen Erfassungsmethoden lässt sich eine effektive Minimierung von technischen Nebenzeiten erreichen. Anschließend wird ein dreistufiges Analyseverfahren präsentiert.   This article discusses the negative effects of non-productive times on the efficiency of production processes in automotive mass production. An overview shows which methods are suitable for the recording of non-productive times and their advantages and disadvantages. These recording methods are essential for the effective minimization of non-productive times. Subsequently, an analysis method, which is composed of three steps, is presented.

scholarly journals World Experience in Creating Mathematical Models of Air Springs: Advantages and Disadvantages

2021 ◽  
pp. 25-42
Author(s):  
A. Y Kuzyshyn ◽  
S. A Kostritsia ◽  
Yu. H Sobolevska ◽  
А. V Batih
Keyword(s):  
Mathematical Model ◽  
Finite Element ◽  
Mathematical Models ◽  
Dynamic Behavior ◽  
High Speed ◽  
Vertical Direction ◽  
Rolling Stock ◽  
Air Spring ◽  
Advantages And Disadvantages ◽  
Mechanical Models

Purpose. Taking into account the production and commissioning of modern high-speed rolling stock, the authors are aimed to analyze the currently created mathematical models describing the dynamic behavior of the air spring, systematize them and consider the advantages and disadvantages of each model type. Methodology. For the analysis, a comparative chronological method was used, which makes it possible to trace the development of several points of view, concepts, theories. In accordance with the adopted decision equations, the existing models of air springs were divided into three groups: mechanical, thermodynamic and finite-elements. When analyzing mathematical models, the influence of a number of parameters on the dynamic behavior of the air spring, such as disturbing force frequency, heat transfer, nonlinear characteristics of materials, the shape of the membrane, etc., was considered. Findings. A feature of mechanical models is the determination of input parameters based on the analysis of experimental results, requires access to complex measuring equipment and must be performed for each new model of an air spring separately. Unlike mechanical models, which allow taking into account the damping effect of an air spring in the horizontal and vertical direction, thermodynamic models are mainly focused on studying the dynamic behavior of an air spring in the vertical direction. The use of the finite element method makes it possible to most accurately reproduce the dynamic behavior of an air spring, however, it requires significant expenditures of time and effort to create a finite element model and perform calculations. Originality. Mathematical models of the dynamic behavior of an air spring are systematized, and the importance of their study in conjunction with a spatial mathematical model of high-speed rolling stock is emphasized. Practical value. The analysis of the mathematical models of the dynamic behavior of the air spring shows the ways of their further improvement, indicates the possibility of their use in the spatial mathematical model of the rolling stock in accordance with the tasks set. It will allow, even at the design stage of high-speed rolling stock, to evaluate its dynamic characteristic and traffic safety indicators when interacting with a railway track.

scholarly journals ESTIMATION OF BUSINESS VALUE AS AN ELEMENT OF FORMATION OF BUSINESS MODELS OF INDUSTRIAL ENTERPRISES AND AGRICULTURAL COMPLEX IN THE CONDITIONS OF DIGITALIZATION OF THE ECONOMY

2020 ◽  
Author(s):  
Maksym Odnorog ◽  
◽  
Mykhailo Pivtorak ◽  
Oksana Zagorodniuk ◽  
◽  
...  
Keyword(s):  
Best Practices ◽  
Business Models ◽  
Business Processes ◽  
New Technologies ◽  
Digital Technologies ◽  
Economic Security ◽  
Digital Transformation ◽  
Enterprise Management ◽  
Industrial Enterprises ◽  
Digital Management

To date, digital technologies and their widespread practice have formed the potential for completely new business models. However, most organizations are either in the early stages of the digital transformation process, or do not yet dare to form a digital business model that will provide real benefits from digital technologies. In any case, taking into account the enormous pace of global digitalization, it is extremely important to adapt the best practices of digital transformation to the improvement of the Ukrainian economy as soon as possible. Based on this, consider the process of researching new and adapting existing management models. Digital transformation – the introduction of modern technologies to radically change the business models of enterprise management today is considered the most important topic for organizations around the world. The requirements of the new digital economy represent the digital transformation as a conscious strategic process of business modification through adaptive management and implementation of digital technologies, ie the restructuring of existing business models. The same happens at industrial and agro-industrial enterprises, the analog period of which is coming to an end. Industries are entering the digital age, thanks to which enterprises are developing in accordance with the new focus. For this reason, it is very important for the formation of digital models of enterprise management to strategically understand the possibilities of digital technology development in their connection with business processes and business models. The analysis of the main traditional models of effective management of enterprises was carried out and their fundamental differences from the Ukrainian approach to management were revealed, the possibilities of implementation of the principles of existing business models by Ukrainian enterprises were considered. In addition, a roadmap for the transition from a traditional to a digital enterprise was proposed for consideration. The process of modeling the digital management system of the enterprise is revealed. Currently, a prerequisite for the prosperity of the economy of industry and agriculture and, consequently, the economy of Ukraine, is adaptive digital management as a basis for economic security of the enterprise. It was found that the relentless introduction of digital technologies, «copying best practices» can later be in reality as dangerous as the refusal to master new technologies. Therefore, choosing the direction of your own digitization, you must first study everything thoroughly, so as not to miss the moment and not to remain in the ranks of the latter or in the past.

Sign in / Sign up

Export Citation Format

Share Document