Pub Date : 2023-10-28DOI: 10.15587/2706-5448.2023.289928
S. Zaichenko, D. Derevianko, R. Kulish
The work considers the problem of determining the factors of energy efficiency of industrial parks in the conditions of military aggression in the conditions of the introduction of the National Economic Strategy and regulatory influence on Industrial Parks in Ukraine. The energy efficiency of industrial parks primarily depends on the main parameters of the selected technological processes that are embedded in the basis of enterprises and their productivity. A significant factor affecting the environmental friendliness and energy efficiency of industrial parks is the method of energy generation. On the basis of the analysis of the work of enterprises operating in conditions of military aggression, the main factors determining the energy efficiency of electricity production have been determined. Such factors are the overall efficiency of the power generating unit, which is determined by monitoring and diagnosing the power unit. Analyzing changes in energy efficiency, the characteristics of the power part of one of the most powerful diesel engines were selected. It is obvious that the diesel locomotive will consume more fuel to generate energy with a decrease in efficiency. The main diagnostic factors of generating equipment that affect the energy efficiency of industrial parks in conditions of military aggression are: the ratio of currents in compressor and depressurized modes, the real degree of compression, and as a result, the efficiency of the power plant. On the basis of the determined factors, the effectiveness of the implementation of the system of monitoring and diagnosing the power units of energy-generating equipment of enterprises in the conditions of military aggression was determined. Recommendations have been established to minimize fuel consumption and reduce emissions to ensure the main principles of industrial parks, environmental friendliness and energy efficiency.
{"title":"Determination of energy efficiency of autonomous generating equipment of industrial parks in conditions of military aggression","authors":"S. Zaichenko, D. Derevianko, R. Kulish","doi":"10.15587/2706-5448.2023.289928","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.289928","url":null,"abstract":"The work considers the problem of determining the factors of energy efficiency of industrial parks in the conditions of military aggression in the conditions of the introduction of the National Economic Strategy and regulatory influence on Industrial Parks in Ukraine. The energy efficiency of industrial parks primarily depends on the main parameters of the selected technological processes that are embedded in the basis of enterprises and their productivity. A significant factor affecting the environmental friendliness and energy efficiency of industrial parks is the method of energy generation. On the basis of the analysis of the work of enterprises operating in conditions of military aggression, the main factors determining the energy efficiency of electricity production have been determined. Such factors are the overall efficiency of the power generating unit, which is determined by monitoring and diagnosing the power unit. Analyzing changes in energy efficiency, the characteristics of the power part of one of the most powerful diesel engines were selected. It is obvious that the diesel locomotive will consume more fuel to generate energy with a decrease in efficiency. The main diagnostic factors of generating equipment that affect the energy efficiency of industrial parks in conditions of military aggression are: the ratio of currents in compressor and depressurized modes, the real degree of compression, and as a result, the efficiency of the power plant. On the basis of the determined factors, the effectiveness of the implementation of the system of monitoring and diagnosing the power units of energy-generating equipment of enterprises in the conditions of military aggression was determined. Recommendations have been established to minimize fuel consumption and reduce emissions to ensure the main principles of industrial parks, environmental friendliness and energy efficiency.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"181 1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139312300","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}
Pub Date : 2023-10-26DOI: 10.15587/2706-5448.2023.289747
Oleksandr Gaman, A. Shyshatskyi, V. Babenko, Tetiana Pluhina, Larisa Degtyareva, Olena Shaposhnikova, Sergii Pronin, Nadiia Protas, Tetiana Stasiuk, Inna Kutsenko
The scientific task, which is solved in the research, is the analysis of knowledge representation methods in intelligent decision-making support systems. The problem is explained by the fact that the form of knowledge representation significantly affects the characteristics and properties of the system. In order to operate all kinds of knowledge from the real world with the help of a computer, it is necessary to carry out their simulation. In such cases, it is necessary to distinguish knowledge intended for processing by computational devices from knowledge used by humans. In addition, with a large amount of knowledge, it is desirable to simplify the sequential management of individual elements of knowledge. A homogeneous representation leads to a simplification of the logic management mechanism and a simplification of knowledge management. The research is aimed at the analysis of knowledge representation methods in intelligent decision-making support systems. Currently, many models of knowledge representation have been developed. The main models include: logical models; frame model; network models (or semantic networks); production models. Therefore, the object of research is the intelligent decision-making support system. The subject of research is an intelligent decision-making support system. The following is set: – the methods (models, approaches) presented in the research for presenting knowledge in intelligent decision-making support systems in a canonical form are not advisable to use for a number of objective reasons given in subsection 3.1 of the research; – it is necessary to develop new (improvement of existing) representations of knowledge in intelligent decision-making support systems, which will have the advantages of these approaches without their disadvantages. Further improvement of these approaches to reduce the number of shortcomings and limitations of their application should be considered as the direction of further research.
{"title":"An analysis of knowledge representation methods in intelligent decision-making support systems","authors":"Oleksandr Gaman, A. Shyshatskyi, V. Babenko, Tetiana Pluhina, Larisa Degtyareva, Olena Shaposhnikova, Sergii Pronin, Nadiia Protas, Tetiana Stasiuk, Inna Kutsenko","doi":"10.15587/2706-5448.2023.289747","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.289747","url":null,"abstract":"The scientific task, which is solved in the research, is the analysis of knowledge representation methods in intelligent decision-making support systems. The problem is explained by the fact that the form of knowledge representation significantly affects the characteristics and properties of the system. In order to operate all kinds of knowledge from the real world with the help of a computer, it is necessary to carry out their simulation. In such cases, it is necessary to distinguish knowledge intended for processing by computational devices from knowledge used by humans. In addition, with a large amount of knowledge, it is desirable to simplify the sequential management of individual elements of knowledge. A homogeneous representation leads to a simplification of the logic management mechanism and a simplification of knowledge management. The research is aimed at the analysis of knowledge representation methods in intelligent decision-making support systems. Currently, many models of knowledge representation have been developed. The main models include: logical models; frame model; network models (or semantic networks); production models. Therefore, the object of research is the intelligent decision-making support system. The subject of research is an intelligent decision-making support system. The following is set: – the methods (models, approaches) presented in the research for presenting knowledge in intelligent decision-making support systems in a canonical form are not advisable to use for a number of objective reasons given in subsection 3.1 of the research; – it is necessary to develop new (improvement of existing) representations of knowledge in intelligent decision-making support systems, which will have the advantages of these approaches without their disadvantages. Further improvement of these approaches to reduce the number of shortcomings and limitations of their application should be considered as the direction of further research.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"96 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139313442","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}
Pub Date : 2023-10-26DOI: 10.15587/2706-5448.2023.289711
Daniil Maiboroda, O. Danchenko
The feasibility of introducing a mixture of oats (Avena Sativa) and alfalfa (Medicago sativa) into the diet of Legart geese was studied in order to improve the quality of the obtained meat of this bird both after slaughter and after long-term low-temperature storage by increasing its antioxidant activity. The paper analyzes and substantiates the use of oat and alfalfa admixtures in the diet of geese. As a result of the study, it was established that the addition of oats (experimental group I) and a mixture of oats and alfalfa (experimental group II) to the diet of geese contributed to a decrease in the content of the end products of lipid peroxidation (LPO) in breast meat after slaughter and during its long-term low-temperature storage (90 days). In the goose meat of both research groups, the prooxidant-antioxidant balance period was prolonged up to the 23rd day. The biggest difference in the LPO content products in the meat of the control and both experimental groups was recorded on the 45th day of meat storage. For the meat of the I research group, this difference was 29.2 %, for the II research group – 41.2 %. The LPO maximum intensity processes in the meat of geese of both experimental groups was established from the 45th to the 67th day of storage. During this time, the content of LPO products increased by 62.5 % in the meat of the geese of the I research group, and by 88.7 % in the II. By the 67th day, the content of LPO products in the meat of the control group significantly exceeded the corresponding indicators of the experimental groups. At the end of the experiment, the content of LPO products in the meat of geese of the control and experimental groups did not reliably differ. Analysis of the fatty acid composition of goose breast meat showed that the most positive changes occurred in the goose meat of the II research group. At the beginning of the storage period, the meat of this group showed an increased content of essential fatty acids: linoleic (18:2) by 11.4 %, linolenic (18:3) by 25.8 %, and arachidonic (20:4) by 12.4 %. The total content of ω6-fatty acids in the meat of this group was 10.9 % higher than that of the control group. However, on the 90th day of storage, there was no significant difference in the content of essential fatty acids in the meat of geese of II experimental and control groups of geese.
{"title":"Analysis of the effect of biologically active compounds of oats and alfalfa in the diet of geese on the nutritional value of goose meat","authors":"Daniil Maiboroda, O. Danchenko","doi":"10.15587/2706-5448.2023.289711","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.289711","url":null,"abstract":"The feasibility of introducing a mixture of oats (Avena Sativa) and alfalfa (Medicago sativa) into the diet of Legart geese was studied in order to improve the quality of the obtained meat of this bird both after slaughter and after long-term low-temperature storage by increasing its antioxidant activity. The paper analyzes and substantiates the use of oat and alfalfa admixtures in the diet of geese. As a result of the study, it was established that the addition of oats (experimental group I) and a mixture of oats and alfalfa (experimental group II) to the diet of geese contributed to a decrease in the content of the end products of lipid peroxidation (LPO) in breast meat after slaughter and during its long-term low-temperature storage (90 days). In the goose meat of both research groups, the prooxidant-antioxidant balance period was prolonged up to the 23rd day. The biggest difference in the LPO content products in the meat of the control and both experimental groups was recorded on the 45th day of meat storage. For the meat of the I research group, this difference was 29.2 %, for the II research group – 41.2 %. The LPO maximum intensity processes in the meat of geese of both experimental groups was established from the 45th to the 67th day of storage. During this time, the content of LPO products increased by 62.5 % in the meat of the geese of the I research group, and by 88.7 % in the II. By the 67th day, the content of LPO products in the meat of the control group significantly exceeded the corresponding indicators of the experimental groups. At the end of the experiment, the content of LPO products in the meat of geese of the control and experimental groups did not reliably differ. Analysis of the fatty acid composition of goose breast meat showed that the most positive changes occurred in the goose meat of the II research group. At the beginning of the storage period, the meat of this group showed an increased content of essential fatty acids: linoleic (18:2) by 11.4 %, linolenic (18:3) by 25.8 %, and arachidonic (20:4) by 12.4 %. The total content of ω6-fatty acids in the meat of this group was 10.9 % higher than that of the control group. However, on the 90th day of storage, there was no significant difference in the content of essential fatty acids in the meat of geese of II experimental and control groups of geese.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139313340","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}
Pub Date : 2023-10-26DOI: 10.15587/2706-5448.2023.289735
Lucas Kadener, Horacio Andrés Repetto, Ana María Lopez Libertella, Constanza Moltedo
This research aims to gather information on the use of Excellence models (such as the Quality Awards) by Logistics Operators in Argentina and neighboring countries. Therefore, the object of the research is the quality models used by logistics operators. In general, these organizations, and mainly those where Logistics is their main service, have begun applying quality standards later than other types of organizations, like those in the manufacture or services industries. This is because their practice is not deemed an added-value activity by the customer. This study found that, at the regional level, these companies are in the process of applying Quality, Environmental, Road Safety and other Management Systems from the ISO suite (ISO 9001, ISO 14001, ISO 39001, etc.), but the use of Excellence models is only present in some, mainly in Argentina-based companies. Remarkably, this behavior does not replicate in other countries of the region (Brazil, Chile, Uruguay), where the aforementioned standards are more widely applied. On the other hand, some countries have their own standards (Argentina, Brazil) for Freight activities developed by their local chambers, but these are mainly focused on the operational aspect of their activity. In this study, information was collected regarding the methodology related to quality and excellence of 109 companies, belonging to Argentina, Brazil, Chile, Colombia and Peru. At the regional level, the ISO 9001 management model is adopted by 68 % of the organizations studied, followed by ISO 14001 adopted by 30 % of the organizations and ISO 45001 adopted by 15 % of the organizations. Based on the conclusions of this work, there is an opportunity to create specific policy around Quality Models for this industry that will support the creation of new standards and the improvement of existing ones. This paper can serve as a starting point for analyzing the scenario in other regions within a framework of similar geographical characteristics.
本研究旨在收集阿根廷及周边国家物流运营商使用卓越模式（如质量奖）的信息。因此，研究对象是物流运营商使用的质量模式。一般来说，这些组织，主要是以物流为主要服务的组织，开始采用质量标准的时间晚于其他类型的组织，如制造业或服务业的组织。这是因为客户并不认为他们的做法是一种增值活动。这项研究发现，在地区一级，这些公司正在应用质量、环境、道路安全和 ISO 套装（ISO 9001、ISO 14001、ISO 39001 等）中的其他管理系统，但只有部分公司采用了卓越模式，主要是阿根廷的公司。值得注意的是，这种情况在该地区其他国家（巴西、智利、乌拉圭）并不存在，因为在这些国家，上述标准的应用更为广泛。另一方面，一些国家（阿根廷、巴西）的当地商会也制定了自己的货运活动标准，但这些标准主要侧重于其活动的运营方面。在这项研究中，我们收集了阿根廷、巴西、智利、哥伦比亚和秘鲁 109 家公司与质量和卓越有关的方法的信息。在地区一级，68%的被调查组织采用了 ISO 9001 管理模式，30%的组织采用了 ISO 14001 管理模式，15%的组织采用了 ISO 45001 管理模式。根据这项工作的结论，有机会为该行业制定有关质量模式的具体政策，以支持制定新标准和改进现有标准。本文可作为一个起点，在类似地理特征的框架内分析其他地区的情况。
{"title":"Study of quality models used by logistics operators in Argentina and South America","authors":"Lucas Kadener, Horacio Andrés Repetto, Ana María Lopez Libertella, Constanza Moltedo","doi":"10.15587/2706-5448.2023.289735","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.289735","url":null,"abstract":"This research aims to gather information on the use of Excellence models (such as the Quality Awards) by Logistics Operators in Argentina and neighboring countries. Therefore, the object of the research is the quality models used by logistics operators. In general, these organizations, and mainly those where Logistics is their main service, have begun applying quality standards later than other types of organizations, like those in the manufacture or services industries. This is because their practice is not deemed an added-value activity by the customer. This study found that, at the regional level, these companies are in the process of applying Quality, Environmental, Road Safety and other Management Systems from the ISO suite (ISO 9001, ISO 14001, ISO 39001, etc.), but the use of Excellence models is only present in some, mainly in Argentina-based companies. Remarkably, this behavior does not replicate in other countries of the region (Brazil, Chile, Uruguay), where the aforementioned standards are more widely applied. On the other hand, some countries have their own standards (Argentina, Brazil) for Freight activities developed by their local chambers, but these are mainly focused on the operational aspect of their activity. In this study, information was collected regarding the methodology related to quality and excellence of 109 companies, belonging to Argentina, Brazil, Chile, Colombia and Peru. At the regional level, the ISO 9001 management model is adopted by 68 % of the organizations studied, followed by ISO 14001 adopted by 30 % of the organizations and ISO 45001 adopted by 15 % of the organizations. Based on the conclusions of this work, there is an opportunity to create specific policy around Quality Models for this industry that will support the creation of new standards and the improvement of existing ones. This paper can serve as a starting point for analyzing the scenario in other regions within a framework of similar geographical characteristics.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"195 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139313278","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}
Pub Date : 2023-10-23DOI: 10.15587/2706-5448.2023.289353
Fares Boutarfa, Abdelaziz Idres, Z. Mekti, Radouane Graine, Fahem Tiour, N. Dovbash, A. Benselhoub, S. Bellucci
The iron deposits of Ouenza and Boukhadra represent one of the main sources of iron ore supply for the Algerian steel industry. Being a fundamental wealth available to Algeria, the exploitation of iron ores and its use causes strong negative consequences on the environment, mainly by the expansion of dust, which will be a source of environmental degradation. The metallurgical industry is an integral part of the Algerian economy. Environmental problems that negatively affect the health of people and the environment is air pollution. These issues are relevant to the site and the town of Annaba, where the metallurgical industry is developed. Environmental awareness is characterized by strong environmental sensitization; especially in urban areas with metallurgical pollution sources. The object of this study is taking samples from sites that generate more dust within the steel complex plant. This study aims to characterize steelmaking dust from different sites of the plant in order to identify the mineral phases and their chemical compositions. The various analytical methods used include physico-chemical analysis, X-ray fluorescence (XRF), crystal phases, crystal size, lattice parameters, microdeformations, laser granulometry analysis, X-ray diffraction, microscopy Electronic Scanning and Analysis (EDS) Energy Dispersion Spectroscopy. It was found that the average monthly quantity of dust released by the dust collectors of the Agglomerated Material Preparation (AMP) unit is 108.45 tons. The results obtained from the dust samples analysis of dust samples from the different points of the site differ in their mineral and chemical composition. The research confirmed the presence of iron oxides, silicon, many different mineral phases. The results of dimensional analysis prove that the two samples are different in their sizes ESP1et and ESP2 is coarser than ESP3 and FF3A, these results can lead to long-term occupational illnesses.
{"title":"Airborne dust pollution emitted by El Hadjar Metallurgical Complex: quantification, characterization, and occupational health hazards","authors":"Fares Boutarfa, Abdelaziz Idres, Z. Mekti, Radouane Graine, Fahem Tiour, N. Dovbash, A. Benselhoub, S. Bellucci","doi":"10.15587/2706-5448.2023.289353","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.289353","url":null,"abstract":"The iron deposits of Ouenza and Boukhadra represent one of the main sources of iron ore supply for the Algerian steel industry. Being a fundamental wealth available to Algeria, the exploitation of iron ores and its use causes strong negative consequences on the environment, mainly by the expansion of dust, which will be a source of environmental degradation. The metallurgical industry is an integral part of the Algerian economy. Environmental problems that negatively affect the health of people and the environment is air pollution. These issues are relevant to the site and the town of Annaba, where the metallurgical industry is developed. Environmental awareness is characterized by strong environmental sensitization; especially in urban areas with metallurgical pollution sources. The object of this study is taking samples from sites that generate more dust within the steel complex plant. This study aims to characterize steelmaking dust from different sites of the plant in order to identify the mineral phases and their chemical compositions. The various analytical methods used include physico-chemical analysis, X-ray fluorescence (XRF), crystal phases, crystal size, lattice parameters, microdeformations, laser granulometry analysis, X-ray diffraction, microscopy Electronic Scanning and Analysis (EDS) Energy Dispersion Spectroscopy. It was found that the average monthly quantity of dust released by the dust collectors of the Agglomerated Material Preparation (AMP) unit is 108.45 tons. The results obtained from the dust samples analysis of dust samples from the different points of the site differ in their mineral and chemical composition. The research confirmed the presence of iron oxides, silicon, many different mineral phases. The results of dimensional analysis prove that the two samples are different in their sizes ESP1et and ESP2 is coarser than ESP3 and FF3A, these results can lead to long-term occupational illnesses.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"87 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139315131","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}
Pub Date : 2023-10-20DOI: 10.15587/2706-5448.2023.287700
I. Zhukov, B. Dolintse
The object of research is the onboard subsystems of Unmanned Aerial Vehicles (UAVs). The research is aimed at analyzing UAVs, specifically the integration and enhancement of satellite-based positioning systems, including Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). The problem concerns traditional satellite-based positioning services, especially those relying solely on medium earth orbit (MEO) satellites, which are insufficient for specific requirements. The study aims to address the limitations of these systems on onboard subsystems of UAVs, especially in challenging environments laden with jammers and interference, and to provide a more accurate, robust, and continuous positioning solution. The research proposes a «multilayer system of systems» approach that integrates signals from various sources, including low Earth orbit (LEO) satellites, ground-based positioning, navigation, and timing (PNT) systems, and user-centric sensors. The combined approach, termed LeGNSS/INS, leverages the strengths of each component, providing redundancy and enhanced accuracy. The system's performance was evaluated using pseudo-real output data, demonstrating its ability to generate quasi-real dynamic trajectories for UAV flight. The error analysis showed that the proposed method consistently outperforms traditional GNSS systems, especially in challenging environments. The enhanced performance of the LeGNSS/INS system can be attributed to integrating multiple satellite systems with INS and applying optimal filtering techniques. The research also employed mathematical modeling to represent the dependencies and interactions when combining data from different sources, such as GPS, LEO, and INS. The Kalman filter is a mechanism to fuse data from multiple sources optimally. The insights from this study apply to various sectors, including aviation, maritime navigation, autonomous drones, and defense. The enhanced positioning accuracy can significantly improve safety, navigation precision, and operational efficiency. However, the study assumes idealized conditions for satellite signal reception, which might not always be accurate in real-world scenarios. Challenges, such as the martial law conditions in Ukraine affecting data collection and potential satellite signal restrictions, were also highlighted. Further research can delve into the impact of more complex environmental factors and the integration of additional satellite systems or sensors to enhance accuracy further.
研究对象是无人驾驶飞行器（UAV）的机载子系统。研究旨在分析无人飞行器，特别是基于卫星的定位系统的集成和增强，包括全球导航卫星系统（GNSS）和惯性导航系统（INS）。问题涉及传统的星基定位服务，特别是那些仅依赖中地球轨道（MEO）卫星的定位服务，这些服务不足以满足特定要求。这项研究旨在解决这些系统在无人机机载子系统上的局限性，特别是在充满干扰和破坏的挑战性环境中，并提供更精确、更稳健和更持续的定位解决方案。这项研究提出了一种 "多层系统的系统 "方法，它整合了各种来源的信号，包括低地球轨道（LEO）卫星、地面定位、导航和定时（PNT）系统以及以用户为中心的传感器。这种被称为 LeGNSS/INS 的组合方法充分利用了每个组成部分的优势，提供了冗余和更高的精度。利用伪真实输出数据对该系统的性能进行了评估，证明了其为无人机飞行生成准真实动态轨迹的能力。误差分析表明，所提出的方法始终优于传统的 GNSS 系统，特别是在具有挑战性的环境中。LeGNSS/INS 系统性能的提高可归功于将多个卫星系统与 INS 集成并应用优化滤波技术。该研究还采用数学建模来表示将 GPS、LEO 和 INS 等不同来源的数据结合在一起时的依赖关系和相互作用。卡尔曼滤波器是一种优化融合多种来源数据的机制。本研究的见解适用于航空、海上导航、自主无人机和国防等多个领域。提高定位精度可以显著改善安全性、导航精度和运行效率。然而，这项研究假设了理想化的卫星信号接收条件，在现实世界中可能并不总是准确的。研究还强调了一些挑战，如乌克兰的戒严状态影响了数据收集和潜在的卫星信号限制。进一步的研究可以深入探讨更复杂环境因素的影响，以及集成更多卫星系统或传感器以进一步提高准确性。
{"title":"Enhancing accuracy of information processing in onboard subsystems of UAVs","authors":"I. Zhukov, B. Dolintse","doi":"10.15587/2706-5448.2023.287700","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.287700","url":null,"abstract":"The object of research is the onboard subsystems of Unmanned Aerial Vehicles (UAVs). The research is aimed at analyzing UAVs, specifically the integration and enhancement of satellite-based positioning systems, including Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). The problem concerns traditional satellite-based positioning services, especially those relying solely on medium earth orbit (MEO) satellites, which are insufficient for specific requirements. The study aims to address the limitations of these systems on onboard subsystems of UAVs, especially in challenging environments laden with jammers and interference, and to provide a more accurate, robust, and continuous positioning solution. The research proposes a «multilayer system of systems» approach that integrates signals from various sources, including low Earth orbit (LEO) satellites, ground-based positioning, navigation, and timing (PNT) systems, and user-centric sensors. The combined approach, termed LeGNSS/INS, leverages the strengths of each component, providing redundancy and enhanced accuracy. The system's performance was evaluated using pseudo-real output data, demonstrating its ability to generate quasi-real dynamic trajectories for UAV flight. The error analysis showed that the proposed method consistently outperforms traditional GNSS systems, especially in challenging environments. The enhanced performance of the LeGNSS/INS system can be attributed to integrating multiple satellite systems with INS and applying optimal filtering techniques. The research also employed mathematical modeling to represent the dependencies and interactions when combining data from different sources, such as GPS, LEO, and INS. The Kalman filter is a mechanism to fuse data from multiple sources optimally. The insights from this study apply to various sectors, including aviation, maritime navigation, autonomous drones, and defense. The enhanced positioning accuracy can significantly improve safety, navigation precision, and operational efficiency. However, the study assumes idealized conditions for satellite signal reception, which might not always be accurate in real-world scenarios. Challenges, such as the martial law conditions in Ukraine affecting data collection and potential satellite signal restrictions, were also highlighted. Further research can delve into the impact of more complex environmental factors and the integration of additional satellite systems or sensors to enhance accuracy further.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139316209","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}
Pub Date : 2023-10-19DOI: 10.15587/2706-5448.2023.288191
Anastasiia Ivakhiv
The research object in this paper is strategies of production modernization in export-import enterprises. This research examines various approaches to modernizing production at these enterprises with particular emphasis on technologies implementation. While export-import enterprises modernization has been studied by scholars, this work is focused on current challenges posed by contemporary geopolitical conditions and globalization. The issue addressed in the research revolves around the need to develop and implement strategies for modernizing production in export-import enterprises, taking into account the impact of geopolitical factors and the situation in global market. The research confirms importance of introducing modern technologies and technical upgrades to enhance production efficiency at these enterprises, particularly through conducting technological audits. The results of this research validate that modernizing production leads to increased competitiveness for enterprises in international market. New technologies implementation and product quality improvement create a foundation for increased demand for the goods and services provided by these enterprises. These findings have significant practical application potential and can serve as guidance for regulators and enterprise managers striving to enhance their competitiveness and stability in the face of growing geopolitical and market turbulence. The strategies for production modernization proposed by the author can be practically applied under the circumstances where export-import enterprises encounter escalating geopolitical challenges and dynamic shifts in global market.
{"title":"Development and implementation of strategies for modernization of export-import enterprises: from technological audit to increasing international trade volumes","authors":"Anastasiia Ivakhiv","doi":"10.15587/2706-5448.2023.288191","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.288191","url":null,"abstract":"The research object in this paper is strategies of production modernization in export-import enterprises. This research examines various approaches to modernizing production at these enterprises with particular emphasis on technologies implementation. While export-import enterprises modernization has been studied by scholars, this work is focused on current challenges posed by contemporary geopolitical conditions and globalization. The issue addressed in the research revolves around the need to develop and implement strategies for modernizing production in export-import enterprises, taking into account the impact of geopolitical factors and the situation in global market. The research confirms importance of introducing modern technologies and technical upgrades to enhance production efficiency at these enterprises, particularly through conducting technological audits. The results of this research validate that modernizing production leads to increased competitiveness for enterprises in international market. New technologies implementation and product quality improvement create a foundation for increased demand for the goods and services provided by these enterprises. These findings have significant practical application potential and can serve as guidance for regulators and enterprise managers striving to enhance their competitiveness and stability in the face of growing geopolitical and market turbulence. The strategies for production modernization proposed by the author can be practically applied under the circumstances where export-import enterprises encounter escalating geopolitical challenges and dynamic shifts in global market.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139316719","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}
Pub Date : 2023-10-19DOI: 10.15587/2706-5448.2023.289288
Zoriana Koval
The work contains the development of theoretical and methodological provisions, practical recommendations for the analysis of the strategic capabilities of the enterprise and the evaluation of the effectiveness of the enterprise's strategy in complex conditions of uncertainty. The object of the study is the strategic capabilities of enterprises as a basis for the formation of strategic plans. The problem of evaluating the effectiveness of strategies and strategic capabilities of enterprises forced to function in conditions of uncertainty is solved. The activity of Ukrainian enterprises in the difficult conditions of the war contributed to the emergence of the need for the formation of new approaches to the development and evaluation of strategies or the adaptation of existing ones to the new conditions of the external environment. If the factors and their characteristics cannot be determined, then the consequences of their impact on the enterprise's activities will be unexpected. And since the uncertainty of the future is often underestimated, this leads to companies choosing those strategies that do not help the company avoid external threats and do not allow to use the opportunities that uncertainty can hide. With the help of economic-mathematical modeling, a model for assessing the company's strategic capabilities was formed, which would make it possible to compare the available resources and possible challenges from the external environment, to investigate the relationship between the company's capabilities and its ability to achieve strategic goals. A methodology for assessing the strategic capabilities of enterprises using the tools of probability theory and the scenario approach is proposed. The obtained results can be useful for determining when choosing a strategy and its evaluation by Ukrainian enterprises operating in conditions of uncertainty.
{"title":"Assessment of strategic opportunities of the enterprise in conditions of uncertainty","authors":"Zoriana Koval","doi":"10.15587/2706-5448.2023.289288","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.289288","url":null,"abstract":"The work contains the development of theoretical and methodological provisions, practical recommendations for the analysis of the strategic capabilities of the enterprise and the evaluation of the effectiveness of the enterprise's strategy in complex conditions of uncertainty. The object of the study is the strategic capabilities of enterprises as a basis for the formation of strategic plans. The problem of evaluating the effectiveness of strategies and strategic capabilities of enterprises forced to function in conditions of uncertainty is solved. The activity of Ukrainian enterprises in the difficult conditions of the war contributed to the emergence of the need for the formation of new approaches to the development and evaluation of strategies or the adaptation of existing ones to the new conditions of the external environment. If the factors and their characteristics cannot be determined, then the consequences of their impact on the enterprise's activities will be unexpected. And since the uncertainty of the future is often underestimated, this leads to companies choosing those strategies that do not help the company avoid external threats and do not allow to use the opportunities that uncertainty can hide. With the help of economic-mathematical modeling, a model for assessing the company's strategic capabilities was formed, which would make it possible to compare the available resources and possible challenges from the external environment, to investigate the relationship between the company's capabilities and its ability to achieve strategic goals. A methodology for assessing the strategic capabilities of enterprises using the tools of probability theory and the scenario approach is proposed. The obtained results can be useful for determining when choosing a strategy and its evaluation by Ukrainian enterprises operating in conditions of uncertainty.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139316687","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}
Pub Date : 2023-10-18DOI: 10.15587/2706-5448.2023.289245
Iryna Vagner, O. Sarakhman, R. Shurpenkova
The object of research is cloud technologies in accounting. The research is devoted to the study of modern achievements in the field of cloud technologies and the justification of the need for their use in the field of accounting for deeper analysis, modeling and forecasting based on timely and complete information about business processes. The article provides statistical data that indicate how cloud technologies are positively changing the course of accounting development. In the context of such positive changes, the authors highlight the differences between traditional accounting and cloud accounting, and highlight the advantages of its implementation at enterprises. The cloud accounting software is analyzed and its main characteristics are highlighted. It is concluded that at the present stage of development of information technologies, the use of cloud computing is gaining popularity. This, in turn, in the field of accounting, can provide significant cost savings and unprecedented flexibility in how enterprises can use information technology. That is why the use of cloud computing in accounting has never been more important. The main theoretical provisions of the article can be used in the practical activities of enterprises and help to choose the optimal cloud technology for accounting in accordance with the needs of the business entity. The results obtained will be useful for managers of enterprises of all forms of ownership, as they provide an answer to the need to implement cloud technologies in their activities. This, in turn, is an ideal solution to the problems that arise, which will allow the business entity to continue its work and reach a new level, develop a successful business and be able to keep it in the market.
{"title":"Analysis of the development of cloud technologies in accounting","authors":"Iryna Vagner, O. Sarakhman, R. Shurpenkova","doi":"10.15587/2706-5448.2023.289245","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.289245","url":null,"abstract":"The object of research is cloud technologies in accounting. The research is devoted to the study of modern achievements in the field of cloud technologies and the justification of the need for their use in the field of accounting for deeper analysis, modeling and forecasting based on timely and complete information about business processes. The article provides statistical data that indicate how cloud technologies are positively changing the course of accounting development. In the context of such positive changes, the authors highlight the differences between traditional accounting and cloud accounting, and highlight the advantages of its implementation at enterprises. The cloud accounting software is analyzed and its main characteristics are highlighted. It is concluded that at the present stage of development of information technologies, the use of cloud computing is gaining popularity. This, in turn, in the field of accounting, can provide significant cost savings and unprecedented flexibility in how enterprises can use information technology. That is why the use of cloud computing in accounting has never been more important. The main theoretical provisions of the article can be used in the practical activities of enterprises and help to choose the optimal cloud technology for accounting in accordance with the needs of the business entity. The results obtained will be useful for managers of enterprises of all forms of ownership, as they provide an answer to the need to implement cloud technologies in their activities. This, in turn, is an ideal solution to the problems that arise, which will allow the business entity to continue its work and reach a new level, develop a successful business and be able to keep it in the market.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"240 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139317453","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}
Pub Date : 2023-10-11DOI: 10.15587/2706-5448.2023.288549
Michaelle Deonarain, R. Rampersad
South Africa and Ukraine share similar challenges for staff in the healthcare sector. Health care workers in South Africa have borne the brunt of the COVID-19 pandemic whereas in Ukraine health care workers, amidst the war have had to show valour and a tough spirit in caring for their patients under very trying circumstances. Arising from the above tragedies, health care workers have shown incredible bravery both in Ukraine and in South Africa, however they display extreme burn out. In Ukraine, nurses are working in the conflict zone and have to manage complex patient mental and physical health issues. Some have even been subjected to violence from traumatized patients. This article assesses the healthcare situation both in Ukraine and South Africa and provides a descriptive report utilizing The Swanson's theory of caring. The elements of Swanson’s theory consisting of maintaining belief, knowing, being with, doing for, and enabling can be linked to characteristics such as supporting patients and colleagues, being sensitive, affectionate and empathetic while feeling a sense of responsibility towards the department and patients. The study, based at selected South African public central hospitals in two provinces, adopted a descriptive exploratory paradigm. Qualitative techniques were used to administer an interview schedule to 322 frontline participants. The results revealed that despite high commitment levels, the participants still faced challenges that impact their daily work life. The study conducted in South Africa on Quality of Work life (QWL) experiences of frontline healthcare workers leaves recommendations for the Ukrainian health care sector.
{"title":"Using Swanson’s theory to improve quality of work life to strengthen the healthcare sector in Ukraine and South Africa","authors":"Michaelle Deonarain, R. Rampersad","doi":"10.15587/2706-5448.2023.288549","DOIUrl":"https://doi.org/10.15587/2706-5448.2023.288549","url":null,"abstract":"South Africa and Ukraine share similar challenges for staff in the healthcare sector. Health care workers in South Africa have borne the brunt of the COVID-19 pandemic whereas in Ukraine health care workers, amidst the war have had to show valour and a tough spirit in caring for their patients under very trying circumstances. Arising from the above tragedies, health care workers have shown incredible bravery both in Ukraine and in South Africa, however they display extreme burn out. In Ukraine, nurses are working in the conflict zone and have to manage complex patient mental and physical health issues. Some have even been subjected to violence from traumatized patients. This article assesses the healthcare situation both in Ukraine and South Africa and provides a descriptive report utilizing The Swanson's theory of caring. The elements of Swanson’s theory consisting of maintaining belief, knowing, being with, doing for, and enabling can be linked to characteristics such as supporting patients and colleagues, being sensitive, affectionate and empathetic while feeling a sense of responsibility towards the department and patients. The study, based at selected South African public central hospitals in two provinces, adopted a descriptive exploratory paradigm. Qualitative techniques were used to administer an interview schedule to 322 frontline participants. The results revealed that despite high commitment levels, the participants still faced challenges that impact their daily work life. The study conducted in South Africa on Quality of Work life (QWL) experiences of frontline healthcare workers leaves recommendations for the Ukrainian health care sector.","PeriodicalId":22480,"journal":{"name":"Technology audit and production reserves","volume":"196 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139320680","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}
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