Application Of Modern Technology Research Articles

Transport Solutions and Indicators in Smart Cities – Part I

The subject of the article is the analysis of solutions and applications of modern information and communication technologies (ICT) in urban centers and the measurement of transport quality indicators, taking into account the requirements of the ISO 37120 standard: Sustainable cities and communities – indicators for city services and quality of life. The article consists of two parts. In part I of the article, the subject of smart cities was introduced, including the functioning concepts of smart city. A description of the shaping of urban spaces and the quality of life in the smart aspect was made, taking into account the issues of sustainable development. The characteristics of the ISO 37120 standard, used to measure the level of services and living conditions in cities, are presented. The basic and auxiliary indicators in the field of city services and quality of life, including those related to transport, were presented. Polish cities that received the smart city certificate were listed. At the end of part I, there was a review of experiences and solutions that improve mobility that operate in selected cities around the world and in Europe.

Optimization of information flows and development of a predictive model for organizing the information space in digital energy

The application of modern information technologies in the electric power industry of the national economy of Russia is considered. The main digital technologies with the maximum potential for use in the electric power industry are given. The stages of the digital flows organization are determined for the development of a model for organizing the information space in the digital energy. The main indicators of the digitalization introduction in the energy sector, as well as factors hindering the process of digitalization of the electric power industry in Russia, are determined. A model for organizing the information space in the digital energy sector of Russia for the medium and long term is developed. Keywords energy, digitalization, data optimization, information flow, big data, artificial intelligence, renewable energy sources

РАЗРАБОТКА АГЕНТНОЙ МОДЕЛИ ФОРМИРОВАНИЯ РАЦИОНА ОБУЧАЮЩИХСЯ

As you know, the queuing industry has been in close connection with simulation methods for a long time. As for the field of healthy lifestyle and rational nutrition, despite the wide potential for its automation, there is currently a lack of application of modern digital technologies in public catering establishments in the field of education. The article is devoted to the development of an agent model for the formation of the food ration of students using simulation approaches. This model will serve as the basis for the development of a software system designed to provide students with healthy and rational nutrition within the walls of an educational institution. Models, technologies and environments for the development of multiagent models, the languages of communication of agents in such environments are considered, mathematical models of agents for calculating the number of calories and the cost of products for the formation of an optimal food ration of students are proposed, a conceptual model of the future information system is developed.

Application of modern information technologies in the technological processes organizing system of a construction expert

In the modern world, technology holds a special place in the transmission and dissemination of information and is an important tool for achieving more effective results. However, information support has not reached a high level in meeting the needs of specialists for the necessary and up-to-date data in all areas of activity. The article discusses the issue of optimizing information support for the activities of forensic construction experts. It identifies main problems in providing experts with the information they need are reviews approaches for resolving thereof.

Smart mobility management supported by modern information and communication technologies

Modern information and communication technologies such as artificial intelligence, big data, or the Internet of Things bring modern solutions not only for businesses and households but also for the state and municipalities. Today, many countries are trying to build a network of so-called smart cities. Their core areas are smart economy, environment, governance, housing, mobility, and people. This article looks at the field of smart mobility at a global level. On the one hand, the article aims to compare and summarize the latest rankings of smart cities. On the other hand, the authors of the article try to identify those applications of modern information and communication technologies that ensure innovative city development and thus their smart mobility. These applications are clearly described in the article to use in addressing the smart city issue in future research activities.

ПРАВОРЕАЛИЗАЦИОННАЯ ЮРИДИЧЕСКАЯ ТЕХНИКА И ЦИФРОВОЕ ПРАВОСУДИЕ

Introduction: the dynamic development of the legal system, the increasing complexity of its elements and links between them draw attention to the application of theoretical constructions in discipline-specific research. First of all, this contributes to defining a clear methodological basis for the study of new legal institutions, this being the key to obtaining reasoned, consistent, and motivated conclusions and proposals. Currently, the most relevant and popular research areas include legal regulation of the use of artificial intelligence systems, robotic technologies, digitalization of legal proceedings, etc. There are many proposals and solutions suggested by legal scholars on these issues, but analysis shows significant discrepancies in the definition of basic concepts, in the understanding of the essence of legal relations as well as the prerequisites for their occurrence, the procedure and reasons for imposition of legal liability, etc. These contradictions are externalized in the current legislation. Purpose: to determine the importance of using legal engineering techniques for the regulation of relations involving the application of artificial intelligence systems. Methods: the key research tools are concepts and laws of interdisciplinary fields of knowledge: general systems theory, theory of information, cybernetics, theory of management; the systematic approach made it possible to characterize the existing forms of law implementation and also legal engineering techniques in the conceptual apparatus of the theory of law as well as to identify the specific features of law implementation techniques; formal legal method; comparative legal method. Results: we carried out comprehensive scientific research on the forms of law implementation; the study revealed specific features of the application of the means, techniques, and methods of legal engineering in all forms of law implementation. We also analyzed civil proceedings through the prism of digitalization, application of modern information and telecommunications technologies in legal activities and legal proceedings; the effect of the use of legal engineering techniques on the effectiveness of these processes was determined.

Application of modern energy-saving technologies and improved energy efficiency

The article defines the relevance and problems of modern society on the use of energy resources, which are to solve the problems of preventing the energy crisis by saving resources through the development and implementation of modern energy-saving technologies and energy efficiency. The authors give key ways of saving energy resources in the form of principles: replacing traditional energy carriers with alternative energy sources, the use of secondary energy resources (wind, solar, water and other energy), the introduction of energy-efficient technological processes, rationalization and assessment of the feasibility of using modern energy-saving technologies. The article also analyzes in more detail the principles of increasing energy efficiency and proposes energy-saving measures for energy-intensive industries.

Application of modern digital technologies in the agricultural industry

The article analyses the global and Russian experience of digitalisation of agriculture. The article analyses the main directions of the development of digital technologies in Russian agriculture within the framework of the implementation of the departmental project of the Ministry of Agriculture of the Russian Federation “Digital Agriculture”. The analysis of modern innovative technologies used by leading agrarian countries around the world for the digitalisation of agriculture has been carried out. It was revealed that one of the most acute problems that hinders the successful digital transformation of the agricultural industry in Russia today is the shortage of qualified personnel due to the outflow of able-bodied population from rural areas and the high average age of the existing working population. Key words: agriculture, digitalisation, digital technologies, economy

Application of modern interactive technologies for the analysis of complex mechanical processes and oscillatory systems

Application of modern interactive technologies for the analysis of complex mechanical processes and oscillatory systems

Anomaly Detection in Blockchain Networks: A Comprehensive Survey

Over the past decade, blockchain technology has attracted a huge attention from both industry and academia because it can be integrated with a large number of everyday applications of modern information and communication technologies (ICT). Peer-to-peer (P2P) architecture of blockchain enhances these applications by providing strong security and trust-oriented guarantees, such as immutability, verifiability, and decentralization. Despite these incredible features that blockchain technology brings to these ICT applications, recent research has indicated that the strong guarantees are not sufficient enough and blockchain networks may still be prone to various security, privacy, and reliability issues. In order to overcome these issues, it is important to identify the anomalous behaviour within the actionable time frame. In this article, we provide an in-depth survey regarding integration of anomaly detection models in blockchain technology. For this, we first discuss how anomaly detection can aid in ensuring security of blockchain based applications. Then, we demonstrate certain fundamental evaluation metrics and key requirements that can play a critical role while developing anomaly detection models for blockchain. Afterwards, we present a thorough survey of various anomaly detection models from the perspective of each layer of blockchain. Finally, we conclude the article by highlighting certain important challenges alongside discussing how they can serve as future research directions for new researchers in the field.

Advances in thin layer chromatography coupled with mass spectrometry technology

Thin layer chromatography (TLC) is a very useful liquid chromatography approach. The simple device, convenient operation, versatility, high throughput capabilities, low cost, and simple sample pretreatments make it widely employed in various fields. In recent years, TLC-MS has become one of the most prominent trends for this technology as developments of modern analytical technology and comprehensive application of different approaches. With the development and upgrading of medicine, food, and scientific instrument industries, it is believed that TLC-MS technology should play a better role and obtain an opportunity for development. This study reviewed TLC-MS interface technologies (most of which are in recent 10 years) based on more than 150 studies and classified these TLC-MS technologies as three strategies. The first is indirect coupling using commercially available interface instruments. The second is TLC-in-site detection directly with special MS ion source devices like fast-atom-bombardment desorption ionization, matrix-assisted laser desorption ionization, surface-assisted laser desorption ionization, electrospray-assisted laser desorption ionization, laser-induced acoustic desorption/electrospray ionization, electrostatic-spray ionization, easy ambient sonic-spray ionization, desorption sonic spray ionization, ionization using "desorption/ionization resource", ionization using "molecular ionization-desorption analysis source", multiwavelength laser desorption ionization, ionization using flowing afterglow-atmospheric pressure glow discharge, ionization low-temperature plasma probe, desorption/ionization induced using neutral clusters, ionization using inductively coupled plasma and so on. These MS analyses are performed after TLC development, thus, the relative position of the chromatographic bands on TLCs is invariable, and this analysis can be regarded as static detection, though flexible travel stages or conveyor belts can be introduced to move TLC plates. The third strategy is to monitor TLC run using MS in real-time just as the monitor employed in HPLC, in which the chromatographic bands are still moving. This strategy is generally run on forced-flow TLC techniques and is less examined. The typical coupling technologies (especially appeared in recent ten years) are summarized and briefly described in this study. TLC-MS has greatly enhanced the research efficiency of bioactive substances for food and drugs due to the widespread usage of TLC-bioautography technology. Nowadays, the main bottleneck in the development of TLC-MS is the design and commercialization of "plug and play" components. The high-throughput and real-time monitoring TLC-MS technology with flexible scanning functions is also expected. Furthermore, the comparative studies of different kinds of desorbing-ionizing technologies are also application problems for further discussion.

A critical review of the occurrence of scandium and yttrium in mushrooms.

Scandium (Sc) and Yttrium (Y) along with the other rare earth elements (REE) are being increasingly extracted to meet the escalating demand for their use in modern high technology applications. Concern has been voiced that releases from this escalating usage may pollute environments, including the habitats of wild species of mushrooms, many of which are foraged and prized as foods. This review collates the scarce information on occurrence of these elements in wild mushrooms and also reviews soil substrate levels, including forested habitats. Sc and Y occurred at lower levels in mushrooms (<1.0-1000µgkg-1 dw for Sc and<1.8-1500µgkg-1 dw for Y) compared to the corresponding range for the sum of the lanthanides in the same species (16-8400µgkg-1 dw). The reported species showed considerably more variation in Y contents than Sc which show a narrow median distribution range (20-40µgkg-1 dw). Data allowing temporal examination was very limited but showed no increasing trend between the 1970s to 2019, nor were any geographical influences apparent. The study of the essentiality, toxicity or other effects of REE including Sc and Y at levels of current dietary intake are as yet undefined. High intake scenarios using the highest median concentrations of Sc and Y, resulted in daily intakes of 1.2 and 3.3μg respectively from 300g portions of mushroom meals. These could be considered as low unless future toxicological insights make these intake levels relevant.

«ԻՐԱՎՈՒՆՔԻ ՀԻՄՈՒՆՔՆԵՐ ԱՌԱՐԿԱՅԻ ԺԱՄԱՆԱԿԱԿԻՑ ԿՐԹԱԿԱՆ ՈՒՍՈՒՑՄԱՆ ՏԵԽՆՈԼՈԳԻԱՆԵՐԸ

In the article, the author presents the modern educational technologies, the importance of introduction of innovative educational technologies in the teaching process of the “Basics of Law” subject, the main methods of application of modern technologies, forms of course organization. It was also made reference to the innovative technologies, used by the author in the organization of teaching process of "Basics of Law" subject” in Crisis Management State Academy.

Recognizing Traffic Signs with Synthetic Data and Deep Learning

Recently, in-depth learning about computer vision and object classification tasks has surpassed other machine learning (ML) algorithms. This algorithm, alike similar ML algorithms, requires a dataset for training. In most real cases, developing an appropriate dataset is expensive and time-consuming. Also, in some situations, providing the dataset is unsafe or even impossible. In this paper, we proposed a novel framework for traffic sign recognition using synthetic data and deep learning. The main feature of the proposed method is its independence from the real-life dataset, which leads to high accuracy in the real test dataset. Creating one-by-one synthetic data is more labor-intensive and costlier than providing real data. To tackle the issue, the proposed framework uses a procedural method, which gives the possibility to develop countless high-quality data that are close enough to the real data. Due to its procedural nature, this framework can be easily edited and tuned.

Automation of the Development of "Specification" Electronic Design Document used in the Transport Industry

The process of car design in Russia has reached a certain maturity, as evidenced by the stabilization of investment levels and increased competition among car manufacturers. The volume and quality of application of modern technologies, including computer-aided design systems, data storage or processing, is also growing. The authors discuss several important examples of the use of modern technologies. The paper also considers design documents that make up a set of design documentation made in electronic form of the SolidWorks system. The main objective of the article is to study the sequence of construction of the Specification both for simple assembly units and for the product as a whole. The purpose of this work is to perform design documentation for products for any purpose used in the construction of vehicles, to develop all the necessary design documentation in electronic form. The construction of design documentation proposed in the article in electronic form can be useful to specialists whose work is related to the design and modeling of parts, assemblies.

Computer intelligence in higher education

The role of artificial intelligence (AI) systems is constantly increasing in the creation and production of this knowledge. Software and hardware complexes of universal humanoid intelligence and artificial superintelligence are being created with maximum intensity. Progress in this field in the last 15 years is reflected precisely in the realization that the human intellect does not arise simply from a few methods and techniques for solving problems, schemes, and reasoning mechanisms, but requires the use of specific knowledge depending on the specific problem area. Education, thanks to the application of modern technologies, is no longer a privilege, but a basic human right.

Hybrid Deep-GAN Model for Intrusion Detection in IoT Through Enhanced Whale Optimization

IoT networks emerging as a significant growth in modern communication technological applications. The network formed with sensor nodes with resource restrictions in complexity, open wireless transmission features lead them prone to security threats. An efficient Intrusion Detection System aids in detecting attacks and performs crucial counter act to promise secure and reliable function. However, for the reason of the widespread nature of IoT, the intrusion detection system is supposed to carry out in discrete form with fewer fascination on common manager. In order to conquer these issues, Distributed – Generative Adversarial Network (D-GAN) with Enhanced Whale Optimization – Distributed deep learning based on Artificial Neural Network (EWO-HDL+ANN) is proposed. Here the GAN can detect internal attacks and the D-GAN is capable of detecting both internal and external attacks effectively. Transfer By Subspace Similarity is engaged to carry out. After that the preprocessed data is fed into feature extraction stage. Modified Principal Component Analysis (MPCA) is applied to feature extraction, which is used to extract new features that are enlightened. Then, feature selection is executed by Enhanced Whale Optimization Algorithm, which is used to choose significant and superfluous features from the dataset. It gets better the classification accuracy through the greatest fitness value. Then the intrusion detection is evaluated by applying HDL+ANN algorithm used to detect the attacks powerfully. The experimental conclusion proves that the introduced EWO-DDL+ANN method provides enhanced intrusion detection system in the view of greater accuracy, precision, recall, f-measure and low False Positive Rate.

Agroclimatic and agroecotoxicological justification of zonal chemical protection systems against harmful organisms for field crops under conditions of climate change in Ukraine

Goal. Agroclimatic and agroecotoxicological zoning of the territory of Ukraine in order to justify ecologically safe zonal systems of chemical protection against harmful organisms, their optimization and adaptation to changes in climatic conditions and phytosanitary state of agrocenoses in different soil-climatic zones of Ukraine.&#x0D; Methods. Analytical-synthetic and experimental methods were used in the research. Literary sources, reports of the Institute of Plant Protection, data on the distribution and number of pests given in the annual reviews of the Department of Phytosanitary Safety of the State Service of Ukraine on Food Safety and Consumer Protection, databases of the State Statistic Service and the Hydrometeorological Center of Ukraine, as well as the results of field experiments were analyzed. Phytosanitary and ecotoxicological monitoring was carried out according to generally accepted methods. The degree of hazard of pesticide use was assessed using an integral 7-point scale, the risk — according to the agro-ecotoxicological index (AETI).&#x0D; Results. Ecological and statistical analysis of long-term databases, dynamics of agrometeorological indicators allows us to come to the conclusion that during the last 10 years climate changes have accelerated. They manifested through the equalization of the temperature field across the country, the increase in the sum of effective temperatures, and a deterioration of heat and moisture supply. This led to a disruption in the functioning of agrocenoses, a decrease in tolerance to the pesticide load. Under conditions of extension of the specified trends, significant disruptions in the functioning of the agricultural sector should be expected, considering the speed of changes. With the help of the Arc GIS — Arc INFO software complex, the agroclimatic and agroecotoxicological zoning of the territory of Ukraine under conditions of climatic changes of 2010—2020 was carried out. A decrease in the self-cleaning ability of the territory has been established. This is especially noticeable in the Forest Steppe, where the zonal self-cleaning index decreased from 0.70—0.50 to 0.60—0.45. Maps of agro-climatic zones and regions of Ukraine with different self-cleaning capabilities have been created.&#x0D; Conclusions. Regular addition and update of agro-climatic regulatory information under conditions of climate change is used for the correct selection and placement of agricultural areas, crops, assessment of conditions for their growth and development, planning of field work periods, forecasting of crop production in a specific year. This information is necessary for improving the culture of agriculture, increasing the production of plant products along with the wide application of modern technologies of crop cultivation, in particular chemical protection against harmful organisms.

Structural and functional model of formation of readiness of future specialists in computer technologies for professional activity by means of digital technologies

The article substantiates the structural and functional model of formation of the readiness of future specialists in computer technologies for professional activity by means of digital technologies. To achieve the goal of the article, the methodology is applied, which consists in conducting an analysis of the research of the problem of pedagogical modeling of the formation of the readiness of future specialists in computer technologies for professional activities in the field of digital technologies. On the basis of the conducted analysis, the concept of «structural-functional model», its structure and prospects of introduction into the educational process of future specialists in computer technologies are defined. It has been established that models in pedagogical science are successfully used for high-quality planning of the educational process, management of cognitive activity of students and optimization of the structure of educational material.&#x0D; In order to build a structural-functional model, its main constituent elements were determined, combined into logical blocks corresponding to the stages of the educational process (target, content, organizational, diagnostic-resultative) and complex application of modern digital technologies at all stages. The effectiveness of the implementation of the model was ensured by predefined organizational and pedagogical conditions.

New concept of ground based-space radio interferometer and modern technologies application for deployment simulation of precise petal space reflector

Radio interferometers make it possible to achieve high resolution of astronomical observations due to the large base of the measuring instrument. The ground-space radio telescope RadioAstron holds the record for angular resolution among radio interferometers, its maximum base was about 340 000. km. The project turned out to be very successful. The new concept is based on the experience of the RadioAstron project and proposes the use of several orbiting radio telescopes that work together in the cm and mm spectral regions. This will further increase the base of the radio interferometer and expand the viewing angle at each current moment of time. Modern technical means make it possible to launch into orbit several identical mirrors operating in the short-wavelength region of the spectrum with an effective area no worse than the effective area of the RadioAstron antenna at a wavelength of 1.35 cm. Thus, the project can be quite budgetary. Now 3D modeling and 3D printing technologies make it possible to speed up and simplify the development of physical models. The manufacture of complex parts used to take days of work. Now we can use 3D printing to make different parts in a matter of hours. In the physical model of a new petal mirror project, we used FDM and LCD printing technologies. The paper discusses examples of manufacturing petal mirror physical model components, limitations and features of these technologies.