Municipal economy of cities最新文献

{"title":"USE OF ARTIFICIAL INTELLIGENCE FOR WORK SAFETY MANAGEMENT","authors":"O. Krainiuk, Y. Buts, V. Barbashyn, M. Yatsiuk","doi":"10.33042/2522-1809-2023-6-180-207-213","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-207-213","url":null,"abstract":"Artificial intelligence introduces innovations in the field of monitoring, diagnostics, and management in the production environment, allowing for reducing the risks of industrial accidents, improving the quality of work, and contributing to the increase of production efficiency. The article considers the main aspects of the application of artificial intelligence for security at enterprises, explores various methods and technologies, and analyses examples of successful implementations in various industries. We also discuss the challenges and prospects related to this topic and closely examine the impact of artificial intelligence on the future of industrial safety. The article aims to study the possibilities of artificial intelligence for solving labour safety problems. The task is to evaluate the potential areas of implementation and algorithms of neural networks, which could reduce the number of dangerous factors associated with human activity at work and increase the level of occupational safety. With the use of AI, numerous innovative solutions can be created to improve control, predict potential hazards, and reduce risks to workers and equipment. Currently, neural networks are successfully used in the fields of production and labour protection to ensure visual control of compliance with safety measures. An indisputable advantage is the sustainability of monitoring and the exclusion of the human factor from this process. Artificial intelligence allows us to warn of situations related to injuries and non-compliance with safety rules, as well as track potentially dangerous events in any area of production. Machine vision, a crucial component of artificial intelligence, enhances workplace safety through continuous monitoring, anomaly detection, personnel identification, equipment evaluation, visual training, and video analysis. It improves safety conditions and mitigates risks effectively. Artificial intelligence and AI-powered voice systems are becoming crucial tools for enhancing workplace safety. They aid in preventing industrial accidents, optimising work processes, and innovating safety control and prediction solutions. AI plays a vital role in visual safety monitoring and eliminates the human factor, ensuring reliability and efficiency. Keywords: occupational safety, industrial injuries, machine learning, neural networks, sensors.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"86 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139186770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"WORKPLACE ECO-FRIENDLINESS","authors":"O. Protasenko, A. Ivashura","doi":"10.33042/2522-1809-2023-6-180-214-220","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-214-220","url":null,"abstract":"The problem of assessing the workplace eco-friendliness is considered. Based on existing developments in ecology, labour protection, ergonomics, and life safety, a definition of the concept of workplace eco-friendliness is proposed. A method for assessing workplace eco-friendliness was developed, which is based on an adapted version of the Fine-Kinney method. Keywords: eco-friendliness, workplace, safety, employee, Fine-Kinney method.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139186886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"LAND USE MONITORING OF THE REGIONS: GEOINFORMATION ASPECTS","authors":"K. Mamonov, R. Viatkin, V. Frolov","doi":"10.33042/2522-1809-2023-6-180-98-102","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-98-102","url":null,"abstract":"The research achieved the goal of developing land use monitoring based on the application of geoinformation systems, considering the influence of environmental factors in the formation of eco-networks. The following tasks have been solved: theoretical definition of eco-network land use monitoring; formation of a quantitative basis for land use monitoring; development of geoinformation support for land use monitoring of eco-networks. Keywords: land use, monitoring, geoinformation systems, environmental factors, eco-networks, geoinformation monitoring maps.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"75 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139186986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MATHEMATICAL MEANS OF DETERMINING THE SUFFICIENCY OF THE FUNCTIONAL CAPACITY OF FIRE DEPARTMENTS IN THE LOCAL AREA","authors":"O. Popov, R. Korniienko, A. Bilousov","doi":"10.33042/2522-1809-2023-6-180-160-167","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-160-167","url":null,"abstract":"The paper addresses the topical issue of fire safety concerning optimising the number and territorial location of fire departments. The ultimate goal of this optimisation is to minimise the cost associated with creating and maintaining fire departments within a particular administrative territory while ensuring the required level of fire safety for all users, whether residential or industrial facilities. In solving this problem, we consider options for different functional capacities of fire departments involving various combinations of specialised firefighting vehicles and equipment. To determine the minimum necessary number of fire units, we have developed a mathematical model based on models of simultaneous parallel calls. The model uses a probabilistic approach to estimating the number of calls per unit of time. In our effort to optimise the deployment of fire units within local areas, the article introduces an optimisation geometry model, which searches for conditions that cover the entire range of potentially suitable deployment points. To address this complex issue, we propose a method known as the weighted p-median problem, which allows us to represent the array of potential fire incident locations and the potential points for deploying fire units using two matrices. The determining criterion is the distance between the caller and the fire department, as it is the distance that determines the time of arrival of the department to the place of call. The arrival time of the fire department to the call location is the key indicator of the quality of service per most regulatory documents from different countries worldwide. The use of the proposed mathematical models as a theoretical basis for designing new buildings in cities and administrative districts or for checking compliance with safety standards will allow the administrations of the respective territories to reduce the costs of creating and maintaining fire departments while preserving the required level of fire safety. Furthermore, to simplify the use of the obtained theoretical results, there is potential to develop an automated software package based on the proposed models. Such a tool would extend the accessibility of our results to a broad audience, including practitioners and decision-makers. Keywords: fire departments, fire safety level, call flows, optimal placement, functionality.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"64 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139186994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"TRENDS IN THE DEVELOPMENT OF VIRTUAL REALITY TOOLS IN THE GLOBAL DESIGN PRACTICE","authors":"Yuliia Shataliuk, D. Shataliuk","doi":"10.33042/2522-1809-2023-6-180-73-78","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-73-78","url":null,"abstract":"The article is devoted to consideration of general trends in the development of virtual reality in architecture. It has been determined that the conditions for the usage of VR in architecture are becoming more and more favourable as each year these technologies are improved and their availability increases. As a result of the increasingly widespread use of smartphones, virtual reality applications have appeared that can be easily downloaded and installed on a phone. From the variety of tools for working with virtual reality, those that can be useful for applicability in architecture were selected. The chosen relevant tools were systematised into two categories: hardware and software. Recommendations for their application, depending on the request or stage of the project, are presented. It has been determined which form of virtual reality, devices, and software are the most suitable for the analysis, simulation, and design of the architectural environment. Special attention in the research is paid to artificial intelligence and the analysis of its influence on VR in architecture. The speed of development, compared to the traditional methods, economic expediency, and enhanced realism are singled out among the advantages of artificial intelligence. The prospects for VR development in architecture and its impact on the profession are examined. VR can also be used to create innovative new designs for buildings, allowing architects to explore the potential of materials, textures, and shapes in a way that was not possible before. Architects and designers can use VR to create, experimentalise, and refine design solutions virtually before starting construction. In the future, VR will become an integral part not only of the design process but also of presentation and approval. It is a powerful tool that helps establish communication between all the process participants. VR in architecture has enormous potential, the implementation of which will provide high social and economic results. Keywords: virtual reality, augmented reality, architectural environment, design, artificial intelligence.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"69 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139187103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RESEARCH ON THE DIRECTIONS OF MONITORING THE USE OF REAL ESTATE IN SETTLEMENTS","authors":"Ye. Nelin, V. Kasianov, E. Shterndok","doi":"10.33042/2522-1809-2023-6-180-118-122","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-118-122","url":null,"abstract":"Monitoring real estate assets in settlements is pivotal in effective territorial management. Accurate information on the status and utilisation of these assets is essential for informed decision-making, resource allocation, and the sustainable development of lands within settlements. This research delves into the multifaceted methodologies used to achieve these objectives. The driving force behind this research is the demand for data-driven, geolocation-based decision-making. The precise evaluation of real estate assets within settlements is indispensable for efficient land use planning, infrastructure development, and the prudent management of natural resources. In the ever-evolving urban landscape, comprehending the dynamics of real estate assets is strategically imperative, facilitating optimal resource allocation and sustainable growth. Populated areas often present intricate, multi-layered geographical landscapes. Conventional real estate monitoring methods, such as manual inspections and paper documentation, often fall short of the required timeliness and accuracy for effective management. It is here that modern technologies step in, offering innovative solutions to augment the monitoring process. Geographic Information Systems (GIS) are at the forefront of this transformation. They enable the collection, analysis, and visualisation of spatial data, offering a multidimensional perspective on real estate assets. Through GIS, real-time insights into asset usage, condition, and their impact on the environment become attainable. Utilising GIS empowers decision-makers and stakeholders, aiding informed choices that facilitate sustainable urban planning and development. Furthermore, integrating remote sensing technology elevates the monitoring of real estate assets in settlements. Satellite imagery and aerial photography provide high-resolution data to detect changes and trends. That is particularly valuable for assessing urban expansion, environmental shifts, and the allocation of lands for agriculture, industry, or residential purposes. Ensuring data accuracy, accessibility, and confidentiality is a paramount aspect of efficient real estate monitoring. Advanced data analytics, machine learning algorithms, and blockchain technology can be leveraged to safeguard data integrity, ensure privacy, and enhance the overall quality of information. In summary, research on monitoring the use of real estate assets in settlements stands as a critical field with wide-reaching implications. The amalgamation of GIS, remote sensing technology, and advanced data analytics is reshaping our approach to comprehending, managing, and planning land usage in urban and rural contexts. By harnessing the capabilities of modern technology and data-driven insights, we pave the way for more sustainable and efficient territorial management. Keywords: spatial provision, monitoring, geoinformation system, land use, cadastral data, modelling.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"69 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139187119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"STUDY OF STRENGTH REDUCTION OF REINFORCED CONCRETE BEAM UNDER FIRE TESTS","authors":"S. Fedchenko","doi":"10.33042/2522-1809-2023-6-180-176-186","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-176-186","url":null,"abstract":"The article presents the results of studies of the regularity of changes in the concrete strength of reinforced concrete beams depending on the heating temperature of its inner layers under fire conditions by interpreting the temperature and deformation measurement results. To obtain the data necessary to identify patterns of concrete strength reduction, we developed a method of fire tests that substantiates the experimental base, design, and number of samples, type, number, and location of measuring devices, as well as the method for statistical processing of measurement data. Based on the developed methodology, we conducted fire tests. As a result of the tests, we obtained a set of measurement results in the form of time dependences of temperature indicators at individual cross-section points and the dependence of the maximum beam deflection on time, which are necessary to identify the coefficients of reduction in concrete strength of reinforced concrete beams under fire test conditions. We then used the proposed method to identify regularities in the reduction of concrete strength of a reinforced concrete beam, which includes interpolation using the obtained temperature indicators at individual points of the cross-section of the beam, which allows us to set the temperature at any point of the cross-section at any control time of measurements based on the approximation of isotherms by parabolas with a variable indicator of their degree. At the next stage, to identify the dependence of the concrete strength of reinforced concrete beams, we used a method based on the compilation of systems of equilibrium equations of internal layers in the cross-section of a reinforced concrete beam, in which the unknown values ​​are the coefficients of reduction of concrete strength for a range of temperatures every 100 °С in the range from 20 °С up to 1200 °С, provided that the reduction factor for the specified heating temperature of the inner layer of concrete is determined by linear interpolation. Using the proposed approach, we obtained appropriate results for a reinforced concrete beam subjected to fire tests. The obtained dependences of the strength reduction coefficient were used to evaluate the fire resistance of reinforced concrete beams and crossbars by the calculation method based on the deformation model. By comparing the obtained data with the data from the literature, we established the adequacy of the calculated data based on the relative deviation and Fisher’s test. The totality of the obtained data allows for improving the calculation method for evaluating reinforced concrete crossbars and beams by increasing the accuracy of the data obtained. Keywords: reinforced concrete beam, fire tests, concrete strength reduction coefficient, fire resistance.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"75 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139186987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"STUDY OF MACHINE LEARNING TOOLS AND ALGORITHMS FOR RECOGNITION AND DIGITALISATION OF SALES RECEIPTS","authors":"V. Kandyba, O. Kushnir, V. Bredikhin, I. Khoroshylova","doi":"10.33042/2522-1809-2023-6-180-7-11","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-7-11","url":null,"abstract":"This article discusses the issue of processing images of sales receipts for subsequent text information extraction using OCR methods. This application is helpful for maintaining a family budget or for conducting accounting in small companies. The main problem with recognising receipts is the low quality of ink and printing paper, which is why it wrinkles and tears easily, and printed letters quickly fade. The study is based on a series of algorithms based on stepwise methods and integrated image transformation methods that can significantly improve the resulting character recognition. The step-by-step methods localise the text, carry out classification, segmentation, and text recognition, and remove the background part at each algorithm stage. Since they do not depend on the size of the dictionary, they can be used to recognise text from images regardless of its size. To solve the problem, we proposed a unique algorithm for image normalisation, which includes finding a receipt in the image, processing the resulting image area, removing shooting defects and media defects, and using a neural network to process and restore characters. We used the EAST (Efficient and Accurate Scene Text Detector) algorithm implemented using a convolutional neural network (CNN) for the text-finding process. Based on a comparison of the performance of the models in terms of their size and H-mean value, we selected the ddrnet23-slim neural network for the test images. The developed application can significantly increase the accuracy of text information recognition and, simultaneously, is small in size. The developed system recognises characters with reasonably high accuracy and shows the accuracy of the recognition result at a level of 97% and higher. The proposed system can be used: to detect and recognise characters by automatically scanning and updating invoice fields in the database; to extract text from an image and automatically convert it to digital format and update it in the database; as a tool for detecting, recognising, and understanding texts. Keywords: dataset, neural network, digital technologies, binarisation, sales receipt, classification, OCR.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"63 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139187020","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"INFORMATION CAPABILITIES OF THE TRANSITION FUNCTION OF THE HYDROGEN STORAGE AND SUPPLY SYSTEM GAS GENERATOR TO ASSESS ITS FIRE HAZARD LEVEL","authors":"Y. Abramov, V. Kryvtsova, A. Mykhailiuk","doi":"10.33042/2522-1809-2023-6-180-148-153","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-6-180-148-153","url":null,"abstract":"To estimate the level of fire hazard of hydrogen storage and supply systems, it is advisable to use reliability indicators, in particular, of their core element, which is a gas generator. Such indicators include indicators of amplitude and phase reliability of the gas generator, which are determined through the Laplace function. The arguments of this function are the relative errors of the parameters of the gas generator, which are determined by its transition function. Three options for determining the parameters of the gas generator have been developed, the feature of which is obtaining information about its parameters at two a priori given moments. The magnitudes of these moments do not exceed the time of the transient process. In the a priori specified moments, the values of the transient fraction are measured (option 1), and the values of its derivative (option 2) or the value of the integral of the transient function (option 3) are additionally measured. Algorithms for processing the received information have been developed for all options, the implementation of which ensures the determination of gas generator parameters. In terms of its structure, the second option for determining gas generator parameters is the simplest, which has 1.5 times fewer arithmetic operations compared to the first option. In addition, the second option for determining the parameters of the gas generator is invariant to the value of the time parameters that determine the measurement moments. The results of determining the parameters of the gas generator and their nominal values are used to determine the arguments of the Laplace functions. We have specified that when determining the parameters of the gas generator, the complexing method can be used, which involves the implementation of all three information processing algorithms. As an example of the second option of determining gas generator parameters, the structural diagram of the algorithm is presented. We have emphasised that the implementation of the developed algorithms for determining the parameters of the gas generator has no subjective factor associated with the use of expert judgments. Keywords: gas generator, fire hazard level, transition function.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"8 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139186842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ASSESSMENT OF THE CURRENT STATE OF INTERNATIONAL BUSINESS TOURISM: A COMPARATIVE ANALYSIS OF GLOBAL AND UKRAINIAN TRENDS","authors":"Y. Zghurska","doi":"10.33042/2522-1809-2023-7-181-24-31","DOIUrl":"https://doi.org/10.33042/2522-1809-2023-7-181-24-31","url":null,"abstract":"The article aims to assess the current development state of international business tourism. It analyses the main trends, problems, and prospects of this industry. The author reviews recent data on the foreign business travel volume, leading countries in this area, and significant market segments. The study highlights the role of modern information technologies and sustainable development in the context of business tourism. Keywords: international business tourism, sustainable development, world economy.","PeriodicalId":121805,"journal":{"name":"Municipal economy of cities","volume":"89 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139186941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}