Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering最新文献

{"title":"Method of Construction of a Fuzzy Cognitive Map of the Competitiveness of a Machine-Building Enterprise","authors":"I. A. Buinevich, Y. A. Kriushina, Y. A. Khalin, A. I. Katykhin, Е. А. Kriushin","doi":"10.21869/2223-1536-2023-13-3-146-163","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-146-163","url":null,"abstract":"The purpose of research is to evaluate the factors influencing the competitiveness of machine-building enterprises and to develop a methodology for fuzzy cognitive mapping (FCM) to analyze these factors.Methods. Data analysis and modeling methods, including FCM, were used in this study to formalize the relationships between factors and their influence on the competitiveness of machine-building enterprises. Data related to factors affecting competitiveness, such as technological level, product quality, price level, innovation potential, and managerial experience, were analyzed.Results. The study resulted in the development of an FCM methodology to analyze the relationships between factors and their influence on the competitiveness of machine-building enterprises. The factors influencing competitiveness, including technological level, product quality, price level, innovation potential, and managerial experience, were evaluated. Key factors with the greatest impact on competitiveness were identified, and the degrees of influence of each factor on competitiveness were established using a scale to formalize the strength of influence.Conclusion. The results of the study demonstrate that the FCM method is an effective tool for analyzing the competitiveness of machine-building enterprises. It allows for uncertainty and vagueness in the input data and provides a better understanding of the relationships between conceptual variables. The developed FCM methodology can be used to make informed decisions to improve enterprise competitiveness. Overall, the study confirms the importance of analyzing factors influencing competitiveness and demonstrates that FCM can help to represent a complex system and its relationships in a more visual and understandable form. This can be useful for enterprise management in making informed decisions to improve company competitiveness and increase market share.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592356","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":"Formalized Information Description for a Medical Expert System","authors":"S. A. Nesterovich, А. N. Brezhneva, S. A. Zyryanova","doi":"10.21869/2223-1536-2023-13-3-21-30","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-21-30","url":null,"abstract":"The purpose of research. The information description of the patient's health status is based on quantitative parameters and qualitative signs. It is proposed to formalize quantitative and qualitative information about the patient's state of health in order to use this information to build a medical expert system. The expert system built on the basis of this information will be able to make a more accurate diagnosis, which will reduce the time for diagnosis and ultimately increase the effectiveness of treatment.Methods. On the basis of a formalized information description of the state of health of patients, it is possible to construct classes of states: the class of the current state (at the moment), the class of the reference (healthy) state of health of the patient. In the future, it is possible to build classes of patients' health conditions taking into account age and a number of features of diseases, for example, taking into account the area in which the patient lives, etc. In the future, these classes can be implemented in a medical expert system.Results. As a result, a formalized information model of describing the patient's health status based on quantitative parameters and qualitative signs has been built, which can be the basis for a database and knowledge base of a medical expert diagnostic system.Conclusion. As a result, a formalized description of the patient's state of health is proposed. For implementation, it is necessary to provide for the possibility of constructing a separate heuristic algorithm for the diagnosis of the disease, which will be associated with the reproduction in the form of operations of the process of developing a logical structure when reasoning by an expert (doctor) during the treatment of a patient.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"2 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592401","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":"Using Metaprogramming Tools of the Common Lisp Language for the Development of Emulator Systems","authors":"А. А. Chaplygin","doi":"10.21869/2223-1536-2023-13-3-135-145","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-135-145","url":null,"abstract":"The purpose of research is to analyze and use metaprogramming in the Common Lisp language when designing and implementing emulators that simulate computer system hardware. The metaprogramming, the macro tools of the Common Lisp language and the use of macros for metaprogramming are considered.Methods. The Lisp language is characterized by its use of uniform S-expressions to represent data and programs. Thus, data can be part of a program and vice versa: a program can be data. Common Lisp macro tools allow you to directly modify the abstract syntax tree of a program, and thus it is possible to create new syntactic constructs to solve a given problem. When implementing emulator functions, macro tools of the Common Lisp language can be used to generate functions, where the common part of the functions is included in the macro, and the differences between the functions are specified in the parameters when calling the macros. Examples of this macros are: bit status register macros, generation of ariphmetic commands, comparation commands, memory commands. Using that you can significantly reduce the size of the program.Results. As a result of computer modeling, a simulator of the NES architecture (MOS 6502 processor) was developed and implemented in the conventional object-orientied C# programming language and in the Common Lisp metaprogramming language. As a result, the simulator written in a language with metaprogramming support turned out to be more than 2 times smaller than the simulator written in C#.Conclusion. The use of metaprogramming (using the example of creating emulators) can significantly reduce the size of a program, simplify and improve the program architecture, reduce the number of errors and improve the quality of programs. The use of domain specific languages lets reduce code size even more.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592487","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":"Correlations and Algorithmization of Cytokine Status Analysis of Patients with Coronary Heart Disease in the Early Recovery Period After COVID-19","authors":"V. A. Negrebetskiy, S. N. Gontarev, V. A. Ivanov","doi":"10.21869/2223-1536-2023-13-3-8-20","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-8-20","url":null,"abstract":"The purpose of research is study of correlations and algorithmization of cytokine status analysis of patients with coronary heart disease in the early recovery period after COVID-19.Methods. Cytokine status was studied in 40 patients with coronary heart disease 3-4 weeks after recovery from COVID19. The control consisted of 38 patients with coronary heart disease without COVID-19. The level of cytokines in the blood was determined on the device \"Becton Dickinson FACS Canto 2 (USA)\". Correlation and regression analysis were used in statistical analysis.Results. Reliable moderate correlations were established between IL-6 and IL-2, IL-3, respectively, r = 0,35 and r = 0,33; IL-17 with IL-2 and IL-6 – r = 0,28 and r = 0,63, respectively; TNF-α and IFN-γ with IL-6 – r = 0,42 and r = 0,39. At the same time, the greatest association, according to the values of the correlation coefficients, among the studied interleukins in patients with coronary heart disease during the convalescence period is characteristic of IL-6. However, IL-17 also had a significant number of correlations with the cytokines under consideration. All this indicates a high association of IL-6, IL-17 and IFN-γ with other cytokines during the recovery period of patients with coronary heart disease after COVID-19 and their priority participation in the development and recovery of these patients. To identify the most informative blood cytokines, an algorithm for analyzing the cytokine status has been developed, which provides for the development of uncorrected and adjusted mathematical models by gender and age of patients with coronary heart disease who have undergone COVID-19. It was found that the greatest effect on recovery 3-4 weeks after COVID-19 in patients with coronary heart disease has the level of IL-17 in the blood (OR = 1,792, p = 0,0021) in an uncorrected and adjusted by gender and age model (OR = 1,708, p = 0,0012).Conclusion. The established correlations, algorithms and models created are proposed to be used in assessing thedynamics of recovery of patients with coronary heart disease after COVID-19.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"13 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592919","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":"Quantitative Assessment of the Body's Defense Mechanisms by the Energy Imbalance of Meridian Structures","authors":"N. A. Korenevsky, L. V. Shulga, S. N. Rodionova, А. Y. Rybakov, К. V. Razumova","doi":"10.21869/2223-1536-2023-13-3-82-101","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-82-101","url":null,"abstract":"The purpose of research is to improve the quality of predicting and diagnosing diseases caused by the action of heterogeneous risk factors by using the estimated characteristics of the body's protection level, determined by the energy characteristics of biologically active points that form the basis of the corresponding meridian structures.Methods. Explores the issues of using indicators characterizing the energy characteristics of meridian structures for a quantitative assessment of the level of protection of the body from the effects of many diverse environmental factors. Since the indicators under study have a pronounced fuzzy nature, the methodology for synthesizing hybrid fuzzy decision rules was chosen as the basic mathematical apparatus.Results. The paper shows that for a quantitative assessment of the level of protection of the body at its various levels (organism, system, organ), it is advisable to use the imbalance of the electrical resistance of the corresponding biologically active points from their nominal values, determined under normal conditions and after a dosed load, as the energy characteristics of the meridian structures. A method for assessing the level of protection by the energy imbalance of the meridian structures of the body is proposed, which differs in that the energy imbalance of the meridian structures for the selected level of research in combination with the load energy imbalance is used as the basic variable functions of the protection level (PLF), which allows assessing the level of protection of the body as a whole, as well as its systems and organs with an accuracy acceptable for medical practice. The ways of embedding FUS in predictive and diagnostic decision rules are shown.Conclusion. In the course of the studies, it was shown that in order to improve the quality indicators of forecasting and diagnosing socially significant and occupational diseases, it is advisable to use indicators of the level of body protection determined by the energy imbalance of meridian structures. It is shown that the quality of decision-making with the use of FLS increases by 10–20% depending on the type of tasks being solved and the completeness of the collected data compared to traditionally obtained models.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"14 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139592787","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":"A Model of Forming a Dynamic Structure for Establishing the Source of Messages in the Receiver's Memory","authors":"А. A. Chesnokova","doi":"10.21869/2223-1536-2023-13-3-122-134","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-122-134","url":null,"abstract":"The purpose of research is increasing the speed of procedures for determining the data source in the block coupling mode, due to the analysis of the dynamic list structure of messages formed in the receiver's memory as a result of intermediate calculations.Methods. The model of forming a dynamic list structure is based on the hardware implementation of the method of limiting the set of data blocks processed by the receiver. The data package includes a special service word, the contents of which are checked for falling into the range of values formed by the receiver when each data block is received. The described restriction reduces the number of typical comparison operations of service words performed when determining the source of messages, and also reduces the likelihood of errors in determining the data source.Results. Based on the model of the formation of a dynamic tree-like list structure, distributions of a priori probabilities of the number of nodes of a certain level are obtained in case of errors in determining the data source and without them. This allows us to obtain significant a posteriori error probabilities depending on the observed number of nodes of a certain level. The criteria for making a decision on the error of determining the source based on the calculation of the number of nodes before the complete completion of the formation of the tree structure and before the stage of its analysis are formulated. This reduces the computational complexity of the procedure for determining the data source in the block coupling mode and reduces the memory costs for storing intermediate results.Conclusion. In the course of the study, it was revealed that for sequences of messages with a length of more than 20, the detection of more than 8 extraneous branches of the dynamic list structure being formed allows us to state with a 90% probability that the procedure for determining the source ended in an error. The refusal to transmit subsequent sequence messages and to perform processing operations of the tree structure allows to increase the speed of the procedure for determining the source of messages and reduce its computational complexity.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"144 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140492608","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":"Hybrid Method for Controlling Muscle Fatigue in the Robotic System","authors":"A. A. Kuzmin, R. A. Tomakova, Е. V. Petrunina, D. А. Ermakov, S. Kadyrova","doi":"10.21869/2223-1536-2023-13-3-64-81","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-64-81","url":null,"abstract":"The purpose of research is development of a method for controlling muscle fatigue in robotic devices operating in a combined mode.Methods. To calculate the exogenous moment of forces of a robotic device, a surface electromyosignal decoder is proposed, which takes into account the effect of the operator's muscle fatigue. By decoding the electromyosignal, the assisting torque on the servomotors of the robotic device is determined. When calculating the assisting moment, the degree of muscle fatigue is taken into account. The method for assessing muscle fatigue consists in assessing the indicator of synchronism of electromyosignals on synergistic muscles and is based on a hybrid approach to the formation of a decision-making module. The first decision-making module is built on the basis of a neural network classifier, the descriptors for which are formed based on the analysis of the spectra of electromyosignals of synergistic muscles. The second decision module includes two synergy channels per electromyographic channel. The first synergy channel is obtained by amplitude demodulation of the electromyosignal, and the second - by its frequency demodulation. As a result, we obtain two muscle fatigue classifiers, the solutions of which are integrated by the aggregator.Results. Experimental studies of the dependence of the electromyosignal on the magnitude of muscle effort and its duration were carried out, which showed that the relative change in the average RMS index under static load can serve as an objective indicator of the degree of muscle fatigue.Conclusion. The developed method makes it possible to control the mechanical moments on the servomotors of a robotic device adequately to the test muscle load and the functional state of the user's muscles. The method allows for individual adjustment of the neural network classifier block and the fuzzy inference block with subsequent aggregation of their solutions and thus optimize the combined operation mode of the robotic device.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"55 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140492544","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":"Synthesis of Models for Predicting and Diagnosing Occupational Diseases Based on Hybrid Fuzzy Technology","authors":"R. I. Safronov, K. V. Razumova, А. Y. Rybakov, А. V. Lyakh","doi":"10.21869/2223-1536-2023-13-3-102-121","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-102-121","url":null,"abstract":"The purpose of research is to develop a method for synthesizing models for predicting and diagnosing occupational diseases based on hybrid fuzzy technology, providing an increase in the quality of decision-making in occupational pathology.Methods. It is established that most of the problems related to the topic under study (forecasting, early diagnosis, assessment of the severity and dynamics of the development of professional diseases) belong to the class of poorly formalized problems with fuzzy and incomplete data structure, which are recommended to be solved using the methodology of synthesis of hybrid fuzzy solving rules based on on the interaction of the natural intelligence of doctors and a cognitive engineer with artificial hybrid intelligence. Using the chosen mathematical apparatus, a method for the synthesis of fuzzy models of forecasting and diagnosis of occupational diseases is proposed.Results. As a concrete example, the problem of predicting and diagnosing ischemic heart disease (CHD) in electric train drivers has been solved with the allocation of such classes of conditions as: \"healthy and the appearance of CHD is not expected\"; \"healthy, but the appearance of CHD is expected after the predicted time\"; \"early stage of CHD\"; \"CHD disease has been detected\". As a result of expert evaluation, it was shown that the confidence in the correct classification is at the level of 0.9. The same result was confirmed by the results of statistical tests on representative control samples in terms of diagnostic sensitivity and specificity.Conclusion. The proposed method of synthesis of hybrid fuzzy models makes it possible to synthesize hybrid decision rules that improve the quality of prediction and early diagnosis of the studied class of diseases both in the presence of training samples and in their absence by compensating for the lack of statistical material by methods of formalization of clinical thinking. As a concrete example, the problem of predicting and diagnosing ischemic heart disease in electric train drivers has been solved. It is shown that the confidence in the correct classification is at the level of 0.9, which allows us to recommend the results obtained for practical use in occupational pathology.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"1 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139593057","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":"A Two-Stage Mathematical Model for Evaluating the Modes of Forced Vibrations of an Aircraft Skin Element with the Use of Fiber-Optic Technologies","authors":"I. I. Sizonov, A. Barabushka, I. E. Mukhin","doi":"10.21869/2223-1536-2023-13-3-52-63","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-52-63","url":null,"abstract":"The purpose of research is development of a mathematical model of vibration vibrations of an aircraft skin element made in the form of a plate with a two-stage transformation \"vibration load parameters – deformation of the plate - change in the wavelength of the optical signal\" in order to take into account the number of loading cycles and their characteristics, accumulated fatigue deformation of the plate and its life before the critical state in order to optimize planned repairs and reducing the risks of unpredictable failures associated with fatigue phenomena in the skin material and supporting structures of the aircraft.Methods. The described mathematical model uses the parameters of a harmonic vibration signal as input data and includes a two-stage transformation, firstly, of the parameters of the vibration signal (frequency, amplitude) into the amplitude of the vibration vibrations of the aircraft skin element made in the form of a plate, secondly, the amplitude of the vibrations of the plate in question into a change in the wavelength of the optical signal, the presence of which is caused by the use of fiber-optic technologies that are promising for the construction of modern systems for monitoring and diagnostics of aircraft.Results. The proposed mathematical model allows calculating and analytical methods to estimate the amplitude of forced vibration vibrations of the aircraft skin element, which causes the absence of plate resource consumption due to the effects of loading cycles (there is only natural aging of the material), plate resource consumption in elastic deformation mode, accumulation of fatigue deformation of the sample. The method of evaluating the plate for the resonant effect is given, which indirectly affects the processes of designing the elements of the aircraft skin in terms of weight and size indicators, which largely determine the frequency of natural vibrations of the plate. The resulting deformation of the plate is expressed in a change in the wavelength of the light beam for detection and analysis by the control and diagnostic system of the aircraft, made on the basis of fiber-optic technologies.Conclusion. The proposed mathematical model is designed to assess the residual life of a specific element of the aircraft skin, involves subsequent software modeling to confirm the correctness or refinement of the resulting calculation algorithm.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"172 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140492774","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":"Intelligent System for Providing Migration Through Dynamic Data Deserialization","authors":"R. A. Tomakova, D. V. Ivanov, N. A. Korsunsky","doi":"10.21869/2223-1536-2023-13-3-31-51","DOIUrl":"https://doi.org/10.21869/2223-1536-2023-13-3-31-51","url":null,"abstract":"The purpose of research. Timely provision of data transfer between information systems allows you to quickly exchange resources. However, applications may have different data formats and structures. Therefore, the aim of the research was to develop models, methods and algorithms for a system of asynchronous deserialization of a data string, providing an increase in the efficiency of determining data models by generating strongly typed objects.Methods. The way to deserialize models from data involves line-by-line decomposition of a JSON-file line with the definition of key-value types and their correlation with the data model: character, string, number, boolean value. After that, the web controller conducts asynchronous generation of the class and its objects. To classify string values, serialized string value classifiers are used. For asynchronous generation of objects, a system of “contracts” of models and algorithms for executing and converting these models are used.Results. The deserializer consists of a system of four model analysis controllers and a value generation algorithm. A simple single model deserialization model allows the model to be mapped to relational database table headers to enable model migration between systems. The generated objects are represented by static data types, which ensures that they can be written to any DBMS system using built-in tools. A complex model represents a block of values as a system of different models. Software has been developed for connecting source and target databases, which allows you to migrate data from the created models. Generated values are represented as full-fledged objects and can be used to create a web interface for applications, edit data models, and manage the model system.Conclusion. Experimental studies on deserialization of models from a JSON string containing complex model classes showed an average accuracy of determining the data type of models in 92% of cases, in particular when determining the types of values \"character\" and \"string\". The created models are presented in the form of a data table and can be used to ensure the migration of these models.","PeriodicalId":166124,"journal":{"name":"Proceedings of the Southwest State University. Series: IT Management, Computer Science, Computer Engineering. Medical Equipment Engineering","volume":"4 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139593028","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}