Control Systems and Computers最新文献

{"title":"Fitness Tracker Data Analytics","authors":"Oleksii S. Bychkov, Oleksandr V. Gezerdava, Ksenia Dukhnovska, Oksana Kovtun, Olga O. Leshchenko","doi":"10.15407/csc.2024.02.065","DOIUrl":"https://doi.org/10.15407/csc.2024.02.065","url":null,"abstract":"The health status of patients is recorded in various sources, such as medical records, portable devices (smart watches, fitness trackers, etc.), forming a characteristic current health status of patients. The goal of the study was the development of medical card software for the analysis of data from fitness bracelets. This will provide an opportunity to collect data for further use of cluster analysis and improvement of the functionality and accuracy of medical monitoring. The object of the study is the use of linear regression to analyze and predict heart rate based on data collected using fitness bracelets. In order to solve this problem, an information system was developed that uses linear regression to analyze the effect of parameters such as Very Active Distance, Fairly Active Minutes, and Calories on the heart rate (Value). Training and validation were performed on data from fitness bracelets. The results confirm the effectiveness of linear regression in predicting heart rate based on the parameters of fitness bracelets. The accuracy of the model was compared under the conditions of aggregation and without it, which allows us to draw conclusions about the optimal conditions for using linear regression for the analysis of fitness data. The study proves the adequacy of the obtained results according to the Student’s criterion. The calculated Student’s t test is 1.31, with the critical test ¾ 2.62. Which proves the adequacy of the developed model. The results of the study confirm that the linear regression model is an effective tool for individual monitoring and optimization of physical activity based on data from fitness bracelets. It is worth considering that the use of linear regression has its limitations and is not always the best choice for complex nonlinear dependencies. In such cases, other machine learning methods may need to be considered.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":"11 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848199","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 system for Determining the Degree of Fibrosis by Ultrasound Images of the Liver of Children with Autoimmune Hepatitis","authors":"Ihor O. Ursu, Yulia S. Budnik, Oleksandr O. Shevchenko, Maryna B. Dyba, B. Tarasyuk, Volodymyr A. Pavlov","doi":"10.15407/csc.2024.02.077","DOIUrl":"https://doi.org/10.15407/csc.2024.02.077","url":null,"abstract":"Introduction. Diffuse diseases are the most numerous class of liver diseases. Among them, autoimmune hepatitis stands out for its severe course in children. Its timely diagnosis and assessment of the degree of liver damage is an integral part of a patient’s personalised treatment strategy. The lack of reliable non-invasive methods for assessing liver disease affects the quality of medical services. Therefore, the search for informative signs of liver damage in ultrasound images and the improvement of methods for solving multi-class classification problems are relevant areas for the development of non-invasive systems for determining the degree of liver fibrosis. Purpose. Improve the diagnosis of liver fibrosis stages through a multi-level classification system. Methods. A system for classifying the detailed degree of fibrosis (eight classes) based on neural networks according to the state of the blood vessels in ultrasound images of the liver is proposed and substantiated: the first level is a fibrosis degrees group classification of fibrosis degree for regions of interest by convolutional neural networks, the second level is the classification of fibrosis individual degrees for regions of interest by a deep neural network, the third level is the integration of the second level results to obtain conclusions about the patient (image) as a whole. In order to optimize the feature space, we have performed an exploratory analysis using a logistic multivariate regression model optimized by the Group Method of Data Handling. The resulting set of generalized variables formed the meta-feature space for the second level of the system. A twofold increase in the quality of the system’s classification is shown in comparison with solving the task of image classification by a single convolutional network with an output of eight classes. Results. Improved version of the hierarchical system for solving multiclass problems based on the use of ANNs is proposed. The system implements the classification of the detailed degree of liver fibrosis in children with autoimmune hepatitis using ultrasound images characterizing the state of liver vessels. The use of a hierarchical classification system allowed us to obtain a classification accuracy of 32.61% higher than the use of a standard multi-class classifier based on a convolutional neural network. The classification accuracy of the hierarchical system: at the first level – 32.46%; at the second level – 50.43%; at the third level – 65.22%. Conclusion. The article proposes, substantiates and develops a hierarchical classification system based on convolutional neural networks. Its use makes it possible to increase the accuracy of classification of the detailed degree of liver fibrosis by 2 times compared to the standard multi-class classifier based on СNNs. The main source of further improvement of the classification accuracy of the system should be a combination of signs of vascular deformation and texture features that ","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":"10 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141845454","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":"Ways of Classifying Digital Platforms","authors":"N. Tymofijeva, Natalia Ye. Pavlenko, Svitlana A. Shevchenko","doi":"10.15407/csc.2024.02.010","DOIUrl":"https://doi.org/10.15407/csc.2024.02.010","url":null,"abstract":"Introduction. Interest in the study of digital platforms (DP) is due to their prevalence and the dependence of this phenomenon on the possibilities of using information technologies. The growing distribution and great potential of the DP is connected not only with the use of new hardware and software, but also with the integration of digital technologies into business processes. The need for a deeper understanding of the differences and similarities of various CPUs prompts researchers to turn to the fundamental mechanism of knowledge organization – classification. From a practical point of view, the classification helps to compare different CPUs and allows users to choose the one that provides the desired results. Formulation of the problem. The problem of CPUs classification is to identify specific and common characteristics for building clusters using different approaches. When modeling and solving the classification problem, static methods and machine learning methods are used. The most widespread of them are the method of nearest neighbors and the method of support vectors. The theory of combinatorial optimization was used to build the mathematical model. The approach proposed. To build a mathematical model of the classification problem, the theory of combinatorial optimization was used, which allows to investigate some properties of this problem. The argument of the objective function in it is the division of the -element set into subsets. This combinatorial configuration can be either with or without repetitions, either finite or infinite. When finding the optimal result, a situation of uncertainty arises, which is related to the structure of the argument of the objective function which is a combinatorial configuration. Conclusion. The classification problem belongs to a broad class of partitioning problems. In it, the characteristics of the clusters are known, the objects that need to be determined, to which class they belong, are analyzed not simultaneously, but by groups or individual elements. Since the result is determined not simultaneously, but by a partial objective function, the classification problem belongs to the dynamic problems of combinatorial optimization. The classification of digital platforms is carried out by heuristic methods, in particular the nearest neighbor method. Both one and a set of common characteristics characteristic of certain CPUs are used as criteria.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":"9 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141847771","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":"Dynamic map management for Gaussian Splatting SLAM","authors":"Anton О. Smirnov","doi":"10.15407/csc.2024.02.003","DOIUrl":"https://doi.org/10.15407/csc.2024.02.003","url":null,"abstract":"Map representation and management for Simultaneous Localization and Mapping (SLAM) systems is at the core of such algorithms. Being able to efficiently construct new KeyFrames (KF), remove redundant ones, constructing covisibility graphs has direct impact on the performance and accuracy of SLAM. In this work we outline the algorithm for maintaining dynamic map and its management for SLAM algorithm based on Gaussian Splatting as the environment representation. Gaussian Splatting allows for high-fidelity photorealistic environment reconstruction using differentiable rasterization and is able to perform in real-time making it a great candidate for map representation in SLAM. Its end-to-end nature and gradient-based optimization significantly simplifies map optimization, camera pose estimation and KeyFrame management.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":"33 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848350","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":". Integration of Different Approaches to the Modeling of Critical Infrastructure","authors":"Iryna M. Oksanych, V. F. Grechaninov, A.V. Lopushanskyi, Stanislav Ye. Novgorodskij, Vadym F. Holovskyi","doi":"10.15407/csc.2024.02.021","DOIUrl":"https://doi.org/10.15407/csc.2024.02.021","url":null,"abstract":"The article is devoted to solving the problem of determining the resilience of critical infrastructure systems to malicious actions of adversaries. Different modeling methods and their integration are considered. Using the example of a system of systems, including energy and transport networks, the application of methods of agent, network, economic modeling and the method of system dynamics are considered, which are combined into a single structure of analysis for the development of algorithms for general decision-making support for the protection of critical infrastructure systems.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":"36 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853307","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":"Algorithmic Approaches to Universal Analysis Models","authors":"Valery G. Kolisnyk, O. Bodyk","doi":"10.15407/csc.2024.02.035","DOIUrl":"https://doi.org/10.15407/csc.2024.02.035","url":null,"abstract":"The concept of analysis is being contemplated in its most comprehensive philosophical context. An endeavour is undertaken to systematise the examination and present it in the form of a systematic procedure, in essence, to construct a formal comprehensive analysis model. The generalised model combines normal data processing procedures with pairs of philosophical categories of the most generic form as components. The sequence of their application is determined. This order is based on the degree of generality of the categories. Consequently, several analysis models were acquired. Despite the observable consistency in the sequence of category application, a comprehensive analytical model has not yet been established based on this series. However, the analysis techniques that have been obtained can already be regarded as prototypes of practical algorithms, serving as the foundation for deductively deriving algorithms for actual computer programmes.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":"11 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853897","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":"Enhancing Online Search Security Through Bayesian Trust Network Implementation","authors":"Vyacheslav V. Zosimov","doi":"10.15407/csc.2023.01.065","DOIUrl":"https://doi.org/10.15407/csc.2023.01.065","url":null,"abstract":"The article focuses on the development of an information search and protection system based on a Bayesian trust network as a measure of document relevance to the user’s query. The result is the development of search system structures and algorithms with relevance evaluation when searching the Internet, the implementation of data transmission with an adaptive database for storing decisions. If the need arises, when the goal set before the user cannot be achieved without involving additional information, the adaptive database sends a request to the search system, which in turn collects the necessary information. Mathematical formalization of the definition of relevant decisions was carried out. A graph was modelled, which was built based on Bayesian Trust Networks (BTN) in the GeNIe application package.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47606003","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 Information Technology for Inductive Modeling of Complex Processes on the Basis of Recurrent-and-Parallel Computations","authors":"Serhiy M. Yefimenko","doi":"10.15407/csc.2023.01.054","DOIUrl":"https://doi.org/10.15407/csc.2023.01.054","url":null,"abstract":"The paper develops a novel intelligent information technology for inductive modeling of complex processes by experimental data, the high level of productivity of which is achieved by applying a new concept of combining the efficiency of recurrent and parallel computations. The implementation of such technology in modern intelligent information-and-analytical systems provides a significant increase in the efficiency and validity of making managerial decisions in the tasks of operational management of complex processes. An example is done of using the developed technology for evaluation and forecast of the investment activity in Ukraine.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134945897","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":"Analysis of the Influence of Self-Similar Traffic on Efficiency Multiple Access Protocols","authors":"A. P. Voiter","doi":"10.15407/csc.2023.01.073","DOIUrl":"https://doi.org/10.15407/csc.2023.01.073","url":null,"abstract":"Introduction. Traffic in modern telecommunication radio networks is self-similar, therefore, the use of methods for calculating the parameters of Carrier Sense Multiple Access (CSMA) protocols adopted in the classical theory of teletraffic, based on Poisson distribution models, leads to an underestimation of the load and stability of these protocols. Purpose. Build a mathematical model for the operation of synchronous CSMA protocols with flexible and rigid strategies in conditions of self-shaped traffic. Obtain average transmission rate equations and their comparative analysis of the results of studies of the same protocols for traffic with the Poisson distribution. Methods. The goal is achieved by creating and analyzing a mathematical model for the operation of synchronous CSMA protocols with flexible and rigid strategies under conditions of Pareto-distributing traffic. The model is described by the equations of the average protocol transfer rate, which are a function of traffic intensity and Pareto distribution parameters. Results. It has been proven that self-similar traffic has a significant impact on the stability limit of CSMA protocols and their throughput, which must be taken into account when using these protocols in radio networks with long-term dependence on traffic distribution. At the same time, there is a slight decrease in the maximum average transmission rate of CSMA protocols compared to the traffic model with the Poisson distribution. Conclusions. The proposed mathematical model of CSMA protocols with flexible and rigid strategies makes it possible to calculate the real values of the average speed, stability limit, and throughput of these protocols under conditions of self-similar traffic.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42004964","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":"Variable Structure Object Dependability Values Evaluation Method","authors":"O. Volkov, Sergii Ye. Hnatyuk, R. Odarchenko, Sergii O. Bodar, V. Simakhin","doi":"10.15407/csc.2023.01.033","DOIUrl":"https://doi.org/10.15407/csc.2023.01.033","url":null,"abstract":"Introduction. Modern researches at the domain of radiotechnical devices and parts are showing that mean time between failures often is omitting during the brand new device designing process. Purpose of the development is to improve the method of the reliability values evaluation of the objects with variable structure including the different sets of elements working time at all possible usage modes as intended. The set-theoretic models of objects that are allowed to estimate power of element subsets quantitatively used in different modes of operation for the purpose of evaluation the reliability indicators of radio-electronic means depending on the structure of the object and the order of changing modes of operation. With the help of the mathematical apparatus of set theory, it has been proven that the reliability of radio-electronic devices will be maximum at the minimum power of the elements used during operation and vice versa. Methods. Evaluation method is needed to take into account vast majority of the minor aspects that were not included before during the calculation procedures: multi-mode work, multi-functioning, excess availability that leads to the object structure changing during its usage for purpose. Results. Taking the fifth-generation station for the experiment, several detail sets were chosen for installation into the device. Competence of the repair service, quality of the details, work-mode was taken into account for the certain result calculation achieving. Conclusion. Brand new, detailed method has been developed for the effectiveness of the objects with variable structure evaluation. Multimode availability could be a significant reliability improving feature at the devices with such structure. Also, evaluation of some separate parts of the device structure would be much more useful for the working period prolongation than evaluation of the device as a whole.","PeriodicalId":33554,"journal":{"name":"Control Systems and Computers","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42923920","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}