Kibernetika ta kompiuterni tekhnologiyi最新文献

{"title":"Analysis of Surface Plasmon Resonance Indicators Using Bayesian Recognition Procedures with Independent Signs in Gliomas, Metastases and Meningiomas","authors":"A. Tarasov","doi":"10.34229/2707-451x.21.4.4","DOIUrl":"https://doi.org/10.34229/2707-451x.21.4.4","url":null,"abstract":"Introduction. The article discusses the application of Bayesian recognition procedures with independent signs in relation to the data of the plasmon resonance indicators (PRI), which were taken from patients with gliomas, metastases, meningiomas, craniocerebral concussion and from a group of healthy people.\u0000Purpose of the article. Improving the efficiency of recognition of inflammatory processes in gliomas, metastases and meningiomas PRI using optimal recognition procedures with independent signs.\u0000Results. In previous article by the author, an attempt was made to recognize inflammatory processes by the PRI caused by brain cancer using Bayesian recognition procedures based on a single substance. In this work, a new model was built using several independent signs (different substances) at once. The results obtained on the basis of the new model significantly increased their efficiency in relation to the models that were used earlier. Such an increase in all comparisons ranged from 5 to 18%, and up to 88.8%. If earlier it was possible to recognize only combinations of diagnoses in which there were no more than two diagnoses, then in this work it was possible to recognize three diagnoses at once. At the same time, the recognition efficiency became slightly more than 66%. An attempt was also made to recognize more than three diagnoses, but the new model did not give significant results, slightly exceeding 46% when recognizing four diagnoses at once.\u0000Conclusions. Thanks to the use of Bayesian recognition procedures with independent signs, it was possible to significantly increase the recognition of inflammatory processes caused by brain cancer. PRI, which is an auxiliary tool in the diagnosis of gliomas, allows one or another pathology to be determined in the preoperative period, since the pathology is finally determined only when studying a surgically removed tumor. In the postoperative period, such a modification is an indicator of repeated recurrence of gliomas. It was also possible to significantly increase the recognition of inflammatory processes caused by non-oncological disease (traumatic brain injury) in relation to oncological processes in gliomas, metastases and meningiomas. Keywords: Bayesian recognition procedure, independent signs, gliomas, metastases, meningiomas, plasmon resonance indicators, complex parameter.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48155649","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":"Multi-Criteria Optimization in the Design of High-Load Systems","authors":"Yaroslav Tupalo","doi":"10.34229/2707-451x.21.4.5","DOIUrl":"https://doi.org/10.34229/2707-451x.21.4.5","url":null,"abstract":"The current stage of development of science and technology is characterized by a significant complication of the tasks. The development of the economy to produce a situation where the development, implementation and operation of complex technical and socio-technical systems have to be in conditions of fierce competition. This is necessary to reduce the time of development and implementation of new technologies, especially in high-load systems. Highly loaded systems are, by and large, the same websites, only with a very large audience, and as a consequence with a large load, which requires an optimized server part of the site. A qualitative characteristic for a highly loaded system is the bandwidth of this system, it describes the amount of work that must be able to perform the system per unit time. The development of highly loaded systems is time consuming and poorly formalized. Since the production of high-load systems is one of the most dynamically developing areas in the field of information technology, which is demonstrated by a significant annual increase in volumes. In the practical task of decision-making, there is often a situation where you cannot limit yourself to considering a single criterion for choosing a decision. An attempt at mathematical formalization of such problems has led to the creation of the Theory of Multicriteria Optimization, which is used in the development of methods, intended for support of decision makers, in the presence of several criteria. The steps for construction of algorithm of multicriteria optimization in designing of highly loaded systems, carries out search of solutions of a maximum in a multicriteria problem are resulted. The algorithm was based on the descent method in Simplex problems. Simplex method - an algorithm for solving the optimization problem of linear programming by searching the vertices of a convex polyhedron in multidimensional space. Multicriteria optimization is based on finding solutions in problems with a large number of options. Now the type of tasks is very resource-intensive and is calculated using computers. Keywords: high-load data systems, high-load computing system.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49019573","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":"On the Risks of Ethical Decision-Making from the History of the Political Thought","authors":"Irma Bagrationi","doi":"10.34229/2707-451x.21.4.9","DOIUrl":"https://doi.org/10.34229/2707-451x.21.4.9","url":null,"abstract":"Introduction: We are interested in the theoretical considerations of the actual pragmatic questions about ethical worldview meaning of understanding of the innovation dealings world, the nature of its conceptual risk dilemmas and problems and sententious thinking in the sphere of political business industry. Our viewpoint is dedicated to the most important aspects of the essence and peculiarities of the social moral standards of innovation approaches in the context of a political solution through methodology of modern mental technology - especially: cognitive methods with gnostic wisdom research and utilitarian creative knowledge and axiological methodology with overestimation ethical values and demonstrating intellectual concepts. Into the framework of the main goal of the research are reviewed the basic theoretical paradigms on the background of ethical worldview analysis (through comparative historical technique of thinking) of the leading-edge conceptual theories of the famous contemporary Russian, American and European thinkers. \u0000The purpose of the article is to prove, substantiate and confirm the following thesis. In order for the ethical of timely paroemiac responsibility and political freedom to be able to fulfill its axiological tasks, it is necessary to reach some worldview ideas: ??to create an universal model of moral consciousness and high valuable behavior; overcome mental and sociocultural biases regarding the debatable assessment of the convincingness of events and determine the relevant logical reaction of society not only to a certain risk of eatable technical thinking, but also to uncertainty regarding their intellectual decision in relation to approved ethical, operational, empirical and principled notions, proposals, expression views and suggestions.\u0000The results. Scientific conceptual alternatives of optimization of practical and urgent ethical valuable dilemmas are given. The issues of the possibility of formation of a worldview system through practical ethical requirements that standard regulates the reactionary politics of intellectual reality to probabilistic hazards are discussed. The ethical standards of universal prohibitions, the moral responsibility of human nature and the ethics of virtue make a conflict of social and political interests through insurmountable cognitive, discussible, reviewable and discursive difficulties are demonstratively shown.\u0000Conclusions. Taking into dominant the essence of the main backgrounds of the existential specific theoretical approaches for worldview methods solving moral political problems is integrated some innovation decisions through valuable considerations. The fundamental ethical concepts of utilitarian thought of historical reminiscences synthesize the possibility problematic circumstances into the logical model of making morally important and useful decisions much easier are analyzed, but through in the valuating pragmatic context needs a main transformation in mental formation","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43501120","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":"Two Approaches for Recognizing the Structure of Block Diagrams","authors":"Kateryna Sosnenko","doi":"10.34229/2707-451x.21.4.6","DOIUrl":"https://doi.org/10.34229/2707-451x.21.4.6","url":null,"abstract":"Introduction. Working with graphic images is an essential element of almost any modern computer-aided design systems.\u0000The result of neural network, including deep image processing, can be recognition of the belonging classes of objects present on them. Objects of the real world require large expenditures for the development and implementation of highly specialized computer vision systems.\u0000In recent years, there has been an improvement of the quality characteristics obtained in the field of technical vision. This is made possible by artificial neural networks.\u0000The article deals with the recognition of a flat, black and white flowchart image. These are two-dimensional images or their selected parts, which are displayed in an arbitrary graphic format by system means on a computer monitor screen. Basic block diagram shapes: rectangle, rhombus, parallelogram, circle, ellipse (oval), etc.\u0000The purpose of the article is to solve the problem of graphic image recognition. The systems for the recognition of graphic images include modern systems of computer-aided design, management and document management. The article has formed a basic set of training and test images of block diagram nodes. Neural network models are proposed to improve the detection accuracy of block diagram nodes based on fully connected and convolutional neural networks.\u0000Results. The basic procedures of the block diagram image recognition algorithm were partially tested at the software level, and allow us to conclude the effectiveness of the proposed structural methods. A comparative analysis of neural network and syntactic structural approaches for solving this problem is carried out.\u0000Conclusions. Two methods of recognizing flat graphic figures and recognizing connections between figures in flowcharts are proposed: a method of recursive traversal of all branches of the tree of the current union of connections between figures and the figures themselves, and also a study was carried out for the created neural network in PyTorch to solve this problem using trained neural network methods. Keywords: image recognition, convolutional neural networks, syntactic analysis.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44947032","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":"Experience of OpenStack Test Deployment and Comparison of Virtual and Real Cluster Environments","authors":"T. Bardadym, O. Lefterov, Sergiy Osypenko","doi":"10.34229/2707-451x.21.3.7","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.7","url":null,"abstract":"Introduction. A brief overview of the properties and architecture of one of the components of the National Cloud of Open Science prototype – the cloud platform OpenStack is given. The list of software and hardware components of the OpenStack test cloud environment and the sequence of actions required for the deployment of both OpenStack itself and the Slurm virtual cluster environment for portable, scalable, reproducible scientific biomedical computing are presented.\u0000The purpose of the paper is a description of the experience of test deployment of OpenStack to create a scalable computing environment for reproducible scientific computing using modern technological solutions, which can be applied to both cloud (OpenStack, AWS, Google) and cluster platforms (Slurm).\u0000Results. The structure of the created test containerized (using Singularity technology) biomedical application, which contains modern software and libraries and can be used in conventional and cloud virtual cluster environments is briefly described. The results of a comparative test of this application in the virtual cluster environment Slurm under the control of OpenStack and in the node of cluster SKIT-4.5 in the V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine are given. Information on solving the problem of finding the optimal in terms of saving resources scaling parameters for the developed application in two comparable cluster environments is given. Some features of the use of these cluster environments are clarified, in particular, a comparison of the dependence of the application speed on the number of parallel processes for two cluster environments is presented. Empirical data are presented in graphical form, which illustrate the nature of the load on the OpenStack server and the use of RAM on the number of parallel processes. Possibilities of portability between the specified cluster environments, scaling of calculations and maintenance of reproducibility of calculations for the offered test application are demonstrated. The advantages of using OpenStack technology for scientific biomedical calculations are pointed out.\u0000Conclusions. The described example of test deployment and use of OpenStack gives an idea of the requirements for the necessary technical base to ensure the reproducibility of scientific biomedical calculations in cloud and cluster environments. Keywords: cloud technologies, reproducible calculations, cluster platform.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47259970","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 Rounding Errors in Modern Computer Technologies","authors":"V. Zadiraka, I. Shvidchenko","doi":"10.34229/2707-451x.21.3.4","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.4","url":null,"abstract":"Introduction. When solving problems of transcomputational complexity, the problem of evaluating the rounding error is relevant, since it can be dominant in evaluating the accuracy of solving the problem.\u0000The ways to reduce it are important, as are the reserves for optimizing the algorithms for solving the problem in terms of accuracy. In this case, you need to take into account the rounding-off rules and calculation modes.\u0000The article shows how the estimates of the rounding error can be used in modern computer technologies for solving problems of computational, applied mathematics, as well as information security.\u0000The purpose of the article is to draw the attention of the specialists in computational and applied mathematics to the need to take into account the rounding error when analyzing the quality of the approximate solution of problems. This is important for mathematical modeling problems, problems using Bigdata, digital signal and image processing, cybersecurity, and many others.\u0000The article demonstrates specific estimates of the rounding error for solving a number of problems: estimating the mathematical expectation, calculating the discrete Fourier transform, using multi-digit arithmetic and using the estimates of the rounding error in algorithms for solving computer steganography problems.\u0000The results. The estimates of the rounding error of the algorithms for solving the above-mentioned classes of problems are given for different rounding-off rules and for different calculation modes.\u0000For the problem of constructing computer steganography, the use of the estimates of the rounding error in computer technologies for solving problems of hidden information transfer is shown.\u0000Conclusions. Taking into account the rounding error is an important factor in assessing the accuracy of the approximate solution of problems of the complexity above average. Keywords: rounding error, computer technology, discrete Fourier transform, multi-digit arithmetic, computer steganography.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46152110","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":"Comparative Analysis of the Application of Multilayer and Convolutional Neural Networks for Recognition of Handwritten Letters of the Azerbaijani Alphabet","authors":"E. Mustafayev, Rustam Azimov","doi":"10.34229/2707-451x.21.3.6","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.6","url":null,"abstract":"Introduction. The implementation of information technologies in various spheres of public life dictates the creation of efficient and productive systems for entering information into computer systems. In such systems it is important to build an effective recognition module. At the moment, the most effective method for solving this problem is the use of artificial multilayer neural and convolutional networks. \u0000The purpose of the paper. This paper is devoted to a comparative analysis of the recognition results of handwritten characters of the Azerbaijani alphabet using neural and convolutional neural networks. \u0000Results. The analysis of the dependence of the recognition results on the following parameters is carried out: the architecture of neural networks, the size of the training base, the choice of the subsampling algorithm, the use of the feature extraction algorithm. To increase the training sample, the image augmentation technique was used. Based on the real base of 14000 characters, the bases of 28000, 42000 and 72000 characters were formed. The description of the feature extraction algorithm is given.\u0000Conclusions. Analysis of recognition results on the test sample showed:\u0000as expected, convolutional neural networks showed higher results than multilayer neural networks;\u0000the classical convolutional network LeNet-5 showed the highest results among all types of neural networks. However, the multi-layer 3-layer network, which was input by the feature extraction results; showed rather high results comparable with convolutional networks;\u0000there is no definite advantage in the choice of the method in the subsampling layer. The choice of the subsampling method (max-pooling or average-pooling) for a particular model can be selected experimentally;\u0000increasing the training database for this task did not give a tangible improvement in recognition results for convolutional networks and networks with preliminary feature extraction. However, for networks learning without feature extraction, an increase in the size of the database led to a noticeable improvement in performance. Keywords: neural networks, feature extraction, OCR.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42896511","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":"Genetic Algorithms as Computational Methods for Finite-Dimensional Optimization","authors":"N. Gulayeva, V. Shylo, M. Glybovets","doi":"10.34229/2707-451x.21.3.1","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.1","url":null,"abstract":"Introduction. As early as 1744, the great Leonhard Euler noted that nothing at all took place in the universe in which some rule of maximum or minimum did not appear [12]. Great many today’s scientific and engineering problems faced by humankind are of optimization nature. There exist many different methods developed to solve optimization problems, the number of these methods is estimated to be in the hundreds and continues to grow. A number of approaches to classify optimization methods based on various criteria (e.g. the type of optimization strategy or the type of solution obtained) are proposed, narrower classifications of methods solving specific types of optimization problems (e.g. combinatorial optimization problems or nonlinear programming problems) are also in use. Total number of known optimization method classes amounts to several hundreds. At the same time, methods falling into classes far from each other may often have many common properties and can be reduced to each other by rethinking certain characteristics. In view of the above, the pressing task of the modern science is to develop a general approach to classify optimization methods based on the disclosure of the involved search strategy basic principles, and to systematize existing optimization methods.\u0000The purpose is to show that genetic algorithms, usually classified as metaheuristic, population-based, simulation, etc., are inherently the stochastic numerical methods of direct search.\u0000Results. Alternative statements of optimization problem are given. An overview of existing classifications of optimization problems and basic methods to solve them is provided. The heart of optimization method classification into symbolic (analytical) and numerical ones is described. It is shown that a genetic algorithm scheme can be represented as a scheme of numerical method of direct search. A method to reduce a given optimization problem to a problem solvable by a genetic algorithm is described, and the class of problems that can be solved by genetic algorithms is outlined.\u0000Conclusions. Taking into account the existence of a great number of methods solving optimization problems and approaches to classify them it is necessary to work out a unified approach for optimization method classification and systematization. Reducing the class of genetic algorithms to numerical methods of direct search is the first step in this direction. Keywords: mathematical programming problem, unconstrained optimization problem, constrained optimization problem, multimodal optimization problem, numerical methods, genetic algorithms, metaheuristic algorithms.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45101379","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":"Bayesian Recognition Procedures with Independent Signs of Inflammatory Processes in Gliomas, Metastases and Meningiomas by Indicators of Erythrocyte Sedimentation Rate","authors":"A. Tarasov","doi":"10.34229/2707-451x.21.3.3","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.3","url":null,"abstract":"Introduction. The article discusses the application of Bayesian recognition procedures with independent signs in relation to the data of the modified erythrocyte sedimentation rate, which were taken from patients with gliomas, metastases, meningiomas, craniocerebral concussion and from a group of healthy people.\u0000Purpose of the article. Improving the efficiency of recognition of inflammatory processes in gliomas, metastases and meningiomas by indicators of erythrocyte sedimentation rate using optimal recognition procedures with independent signs.\u0000Results. In previous articles by the authors, an attempt was made to recognize inflammatory processes by indicators of the modified erythrocyte sedimentation rate caused by brain cancer using Bayesian recognition procedures based on a single substance. In this work, a new model was built using several independent signs (different substances) at once. The results obtained on the basis of the new model significantly increased their efficiency in relation to the models that were used earlier. Such an increase in all comparisons ranged from 3 to 12 %, and up to almost 94 %. If earlier it was possible to recognize only combinations of diagnoses in which there were no more than two diagnoses, then in this work for the first time it was possible to recognize three diagnoses at once. At the same time, the recognition efficiency became slightly more than 70 %. An attempt was also made to recognize more than three diagnoses, but the new model did not give significant results, slightly exceeding 50 % when recognizing four diagnoses at once.\u0000Conclusions. Thanks to the use of Bayesian recognition procedures with independent signs, it was possible to significantly increase the recognition of inflammatory processes caused by brain cancer. The modified erythrocyte sedimentation rate, which is an auxiliary tool in the diagnosis of gliomas, allows one or another pathology to be determined in the preoperative period, since the pathology is finally determined only when studying a surgically removed tumor. In the postoperative period, such a modification is an indicator of repeated recurrence of gliomas. It was also possible to significantly increase the recognition of inflammatory processes caused by non-oncological disease (traumatic brain injury) in relation to oncological processes in gliomas, metastases and meningiomas. Keywords: Bayesian recognition procedure, independent signs, gliomas, metastases, meningiomas, modified erythrocyte sedimentation rate, complex parameter.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48637037","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":"Development of a Subsystem for Supporting a Complex of Diagnostic Procedures for the Information-Analytical System TISP","authors":"O. Palagin, O. Kurgaev, M. Budnyk, I. Chaikovsky","doi":"10.34229/2707-451x.21.3.8","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.8","url":null,"abstract":"Introduction. During the implementation of the project \"Transdisciplinary Intelligent Information-Analytical System for Supporting Rehabilitation Processes in a Pandemic (TISP)\", all the capabilities of the basic cognitive information technology were focused on the implementation of the strategy of rehabilitation measures, which consists in taking into account the pathogenetic features of the development of the disease. In the subsystem of information and analytical support of the complex of diagnostic procedures, the central is the assessment of the effectiveness of rehabilitation based on the indicators of the electrocardiogram (ECG) and heart rate variability (HRV), control of the patient's condition using psychophysiological (PF) and psychological testing, the use of biological feedback (BF) to improve the efficiency of rehabilitation, as well as the use of PF testing for the implementation of BF.\u0000The purpose of the article is detailing the composition and functionality of a complex of diagnostic procedures for supporting rehabilitation processes in a pandemic.\u0000Results. The composition and functionality of the complex of diagnostic procedures are presented. It includes three components: first, an innovative technique for scaling electrocardiograms and heart rate variability (Universal Scoring System) with software and a miniature electrocardiograph (with the ability to use on-line mode). Secondly, the study of psychophysiological testing tools based on the software-hardware complex \"Psykholot-1\" with the prospect of its addition by means of Biological Feedback (BF). Thirdly, the analysis of existing means of BF therapy and their application for rehabilitation with the proposed method of rehabilitation based on BF using artificial intelligence tools that are being developed within the framework of this project. In the future, it is planned to monitor patients undergoing rehabilitation in order to develop new rules specially adapted for assessing and monitoring the current state of patients undergoing rehabilitation, as well as the effectiveness of BF for rehabilitation. To implement the BF, the Psykholot-1 complex should be used in a trainer mode with a visual presentation of PF tests to the patient in real time.\u0000Conclusions. Hardware and software systems of biomanagement must be present at every workplace of a doctor, psychologist, coach, teacher. They can not only help in the treatment of patients, but also can change motivation, mobilize personal resources, and this is what many of us lack today. Keywords: rehabilitation, diagnosis, psychophysiological testing, electrocardiogram, heart rate variability, biological feedback.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47443892","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}