Kibernetika ta kompiuterni tekhnologiyi最新文献

{"title":"Decision Making Models on the Market of Cloud Services","authors":"V. Gorbachuk, M. Dunaievskyi, Seit-Bekir Suleimanov, Lyudmyla Batih, Denys Symonov","doi":"10.34229/2707-451x.21.3.5","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.5","url":null,"abstract":"Introduction. Optimization can be applied in developing profitability management tools for a cloud service broker working according to a certain business model. On behalf of the managing telecommunications holding company (telecommunications operator), this broker integrates, aggregates and configures software and data storage services of third-party Internet software vendors. Such a broker receives only fixed commissions from this company, based on the subscription fee, but does not pay royalties to an Internet software vendor and does not receive payments from the sale of service packages. \u0000The purpose. The cloud broker faces the problem of limited human resources required to carry out the relevant legal, technical and economic activities. In addition, the broker faces the problem of uncertainty in sales, service prices, the share of resource use, or the risk of losing operational and financial goals. \u0000Results. To run a broker?s business efficiently, one needs to find services and their bundles that increase profitability and reduce financial risk by solving certain optimization problems. Information on such services is needed to support negotiations on fixed and variable commissions, as well as to prioritize services and their packages to be provided. Thus, for the cloud services broker, both profitability management tools and services portfolio development tools are useful. In general, a cloud service broker is an organization that negotiates the relationships between cloud service clients and Internet software vendors. Cloud broker can be created on the basis of different business models regarding the type of service (platform, infrastructure, software), type of clients (enterprise, household), functions performed (identity management, accounting, billing, location, etc.), the degree of rebranding, measures of aggregation of services and other criteria. \u0000Conclusions. Different cloud brokers have different attitudes to choice of important solutions for their businesses. Solutions can relate to pricing, capacity planning and utilization in combination with service quality, security, scalability and other issues. Keywords: optimization, portfolio, uncertainty, Boolean variables, revenue generation.","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":"47588597","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":"Biosensor Devices in the Production of Alcoholic and Non-Alcoholic Beverages","authors":"H. Antonova, Yevgenia Babenko, O. Voronenko, I. Galelyuka, A. Kedych, Oleksandra Kovyrova","doi":"10.34229/2707-451x.21.3.9","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.9","url":null,"abstract":"\"Smart\" multisensors and biosensor systems based on modern information and communication technologies make it possible to qualitatively improve the parameters of testing systems for biologically active, chemical and toxic substances and biological or biophysical objects, improve parameter control, data processing and analysis in digital agriculture, food industry, environmental monitoring and other areas of human activity. These next-generation devices combine biologically sensitive elements with converters of biophysical signals into electrical digital signals. The article reveals the basic principles of construction of biosensor devices, their practical implementation and application. The own results of development of a wireless network of \"smart\" multisensors and biosensor devices for express diagnostics of a condition of grape and fruit crops and control of process of production of wine are presented. In order to test the capabilities of the unit of measurement, a number of experimental works were performed. To perform such work, it was first necessary to develop a new embedded software for the microprocessor of Analog Devices ADuCM350, and the corresponding user software for the OS Windows 10. Experiments were performed using disposable sensors based on the enzyme glucose oxidase to measure the sugar content in glucose and wine solution. A review and analysis of modern biosensor devices used in the production of alcoholic and Non-Alcoholic Beverages were done. The comparative table of analyzers for different studies based on biosensors is made. Development and preparation for mass production of \"smart\" biosensors, biosensor devices and networks based on them is in line with global scientific and technological trends of today and, of course, the near future. Keywords: biosensors, ammetric transducers, wireless sensor network, express diagnostics of grape and berry crops.","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":"44366806","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 and Conformity Assessment of ECG-Photometric Complex Software","authors":"V. Budnyk, T. Ryzhenko, M. Budnyk","doi":"10.34229/2707-451x.21.3.10","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.10","url":null,"abstract":"Introduction. The article is devoted to the software \"PulseWave\", which is used as part of the ECG-photometric complex for research in medical institutions. For further implementation of the complex in medical practice, it is necessary to assess the compliance of this software in accordance with the requirements of the technical regulations for medical devices. There are two ways to perform software conformity assessment: as part of the ECG photometric complex or separately from it (stand alone). In this paper, the option of conducting a stand alone conformity assessment was chosen, i.e. as a separate product. This approach is the most promising, given the development of \"cloud\" storage and data processing environments and the need to introduce into medical practice of treatment and prevention facilities in Ukraine.\u0000The purpose of the article is to develop software and prepare it for conformity assessment in accordance with the requirements of the technical regulations for medical devices.\u0000Results. The authors consider the structure and principle of operation of the software \"PulseWave\" ECG-photometric complex. The main stages of the life cycle of this software according to international standards are given. A risk assessment report has been developed, which shows and evaluates the main errors that may occur in the work of the software; and ways to eliminate them.\u0000Conclusions. The software development, development of its life cycle and risk analysis provide an opportunity to start the procedure of assessing its compliance with the requirements of the technical regulations for medical devices in accordance with international standards. Keywords: software, conformity assessment, life cycle, application risks.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41602913","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":"Problems on Shortest k-Node Cycles and Paths","authors":"P. Stetsyuk, Dumitru Solomon, Maria Grygorak","doi":"10.34229/2707-451x.21.3.2","DOIUrl":"https://doi.org/10.34229/2707-451x.21.3.2","url":null,"abstract":"The paper is devoted to the construction of mathematical models for problems on the shortest cycles and paths, that pass through a given number of nodes of a directed graph. Such cycles and paths are called k-node, where 1<k <n, n is the number of nodes in the graph.\u0000Section 1 formulates two problems for finding the shortest k-node cycle – a mixed Boolean and linear programming problem and a discrete programming problem. Both problems include constraints from the classical assignment problem, describing a one-time entry into a node and a one-time exit from a node for those nodes through which the cycle passes. The cycle connectivity in the first problem is ensured by modeling the flow problem, and in the second problem, it is ensured by using the A. Tucker constraints for the travelling salesman problem. \u0000Section 2 establishes a connection between the formulations of both problems from Section 1 and the travelling salesman problem and investigates the efficiency of their solution using modern versions of gurobi and cplex programs and the AMPL modeling language.\u0000Section 3 contains the formulation of the shortest k-node path problem, which is represented by a mixed Boolean and linear programming problem. With its help, the optimal routes were found for visiting the wine-making points of the Malopolskie Wine Route in the direction Lviv-Wroclaw-Lviv (Section 4). Here a map for the 20 most visited wine-making points of the Malopolskie Wine Route and a table of the distances between them and the distances from them to Lviv and Wroclaw, calculated using the Google Maps web service, are presented.\u0000The developed mathematical models of the problems of finding the shortest k-node paths and cycles and the developed software in the AMPL modeling language can be used for the design and arrangement of technical objects, optimization of the transportation of products, analysis and forecasting of economic processes, determination of optimal routes when planning passenger and freight traffic, optimal organization of the process of managing a set of transactions and queries during their implementation in network databases and other classes of applied optimization problems. Keywords: digraph, shortest path, Boolean variable, linear programming, Hamiltonian cycle, Hamiltonian path, travelling salesman problem, AMPL, gurobi, cplex.","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":"47187372","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":"Generating Big Numbers for Testing Multi-Digit Arithmetic Algorithms","authors":"A. Tereshchenko, V. Zadiraka","doi":"10.34229/2707-451x.21.2.4","DOIUrl":"https://doi.org/10.34229/2707-451x.21.2.4","url":null,"abstract":"Introduction. The emergence of new parallel computational systems, such as multi-core processors, clusters, distributed systems, is due to the solution of various applied problems in various fields. The difference between devices for which parallel algorithms are implemented causes a variety of existing methods for parallelizing the calculation of multi-digit arithmetic operations. There is a problem of developing universal algorithms for implementing multi-digit arithmetic operations that are efficiently performed on various devices and on various systems.\u0000Very often it is not possible to develop a new algorithm, since at this stage there is still no test data with which it is possible to analyze the result of calculation. Therefore, the task of preparing test data and results is no less important than the development of the algorithm itself. The quality of the prepared data determines the quality of the implemented algorithm and the time required to find and eliminate errors in the algorithm-program and its implementation.\u0000In this paper, some simple dependencies are given, using which you can visually check the correctness of the calculation of multi-digit operations of addition, subtraction, multiplication, multiplication by modulo and exponentiation by modulo. Simple algorithms for generating input and output multi-digit data are presented. Using dependencies allows to check the integrity of the output when delegating computations to distributed systems such as cloud computing.\u0000The purpose of the article is to show simple dependencies between the input data and the results of performing multi-digit operations of addition, subtraction, multiplication, multiplication by modulo and exponentiation by modulo. For the given dependencies, methods for generating input and output multi-digit numbers are shown, which can be used to check the correctness of the calculation of multi-digit operations, which significantly saves the time required for preparing test data.\u0000Dependencies are provided in a generic way, which allows you to generate input data and results for devices that operate on words of different lengths (8, 16, 32, 64, 128, 256, etc. bits).\u0000Results. The dependences between the input data and the results of performing multi-digit operations are analyzed. The provided dependencies are proved in the form of lemmas. The dependencies are presented in a general form, since to generate multi-digit sequences, it is needed to set two parameters: N – the number of digits in the multi-digit value and n – the length of the digits in bits. The examples show the generation of input data and results for various multi-digit operations.\u0000Conclusions. The paper presents dependencies that are easy to remember and use for visual verification of the results of multi-digit calculations without using additional or special software or hardware, which allows to devote the saved time to developing new or more efficient modifications of multi-digit algorithms. Keywords","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42165132","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 Usage of SQL Detector Based on Artificial Intelligence in Serverless Architecture","authors":"T. Naumenko, Vadym Chernomaz","doi":"10.34229/2707-451x.21.2.9","DOIUrl":"https://doi.org/10.34229/2707-451x.21.2.9","url":null,"abstract":"Introduction. The widespread use of the Internet leads to a fast increase of the quantity of data that goes into it. This generates interest in intruders which try different approaches to steal this data. One of the most popular approaches is SQL injection. There are a lot of measures which help to prevent and decrease the risk of being subjected to this attack: usage of code analysis tools, usage of firewalls which can filter dangerous traffic etc.\u0000Usage of reverse proxy is analysed in this article, which with the help of machine learning algorithms checks requests for SQL injections and based on the result passes or forbids the request to go.\u0000It is worth mentioning that such a solution is not a replacement of human expertise but addition to it, which with the help of big data can give an accurate result in most cases.\u0000The purpose of the paper is to analyse and show effectiveness of usage of machine learning in information system security provisioning tasks with the system working in serverless architecture.\u0000Results. A system is designed and developed which with the help of machine learning classifies received requests. The system is deployed to the cloud hosting Google Cloud Platform and integrated into an application which is designed according to the serverless architecture principles. Multiple algorithms were used to compare effectiveness of the system and percentage of successful results were calculated for each of them. Also, an average time of request execution is calculated for each algorithm.\u0000Conclusions. Each algorithm’s result of successful request classification is above 90% which is considered to be more than acceptable. The result can be improved using more data to train machine learning models. The system fits for work in serverless applications thanks to the simplicity of its integration but it should be considered if it fits from a hardware rent point of view. Keywords: machine learning, Google Cloud Platform, security, SQL injection.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45913036","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 the Remote Heart Health Monitoring System","authors":"M. Boreiko, M. Budnyk","doi":"10.34229/2707-451x.21.2.10","DOIUrl":"https://doi.org/10.34229/2707-451x.21.2.10","url":null,"abstract":"Introduction. Cardiovascular disease (CVD) is the most common cause of death worldwide. This problem is especially relevant for Ukraine, where CVD accounts for more than 68% of all deaths. At the same time, in terms of population mortality rate (15.3 ‰), Ukraine is ahead of all European countries.\u0000Electrocardiography is the most useful diagnostic tools. Nowadays a lot of portable ECG devices are available on the market, which makes ECG accessible for each patient directly from home.\u0000Remote monitoring of patients with CVD is a very necessary solution, which can save patient’s lives, doctor’s time and hospital’s money.\u0000Existing remote monitoring solution doesn’t provide enough cyber security and scalability, especially in the context of tight regulation of medical software in the European Union.\u0000The purpose of the article is to develop a cloud-based software solution for remote monitoring of patients with CVD using a portable ECG device.\u0000We propose the full architecture, which include server-side components (databases, computational resources, gateways, queus, load balancers and others) and client-side components (mobile app for the Android and iOS and web browser app).\u0000Results. We proposed, designed, implemented and tested the full end-to-end Cloud-based solution for remote monitoring of patients with CVD. Security of the system is ensured by dividing the single database to three separate databases (database with patient’s data, database with ECG data and mapping database), hiding all server components under the virtual private network, and transferring data via secure HTTPS connection.\u0000Conclusions. Developed system successfully solve their goals. It is being used now in the Finnish company Cardiolyse. Keywords: telemedicine, client-server, medical devices, electrocardiography, cybersecurity, heart rate variability","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43166875","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":"About Methods for Classifying Hidden Language Concepts in Specialized Texts Involving Pseudoinverse, Clustering and Data Grouping","authors":"I. Krak, A. Kulias, Valentina Petrovych, Vladyslav A. Kuznetsov","doi":"10.34229/2707-451x.21.2.7","DOIUrl":"https://doi.org/10.34229/2707-451x.21.2.7","url":null,"abstract":"This paper discusses the problems of analysis of hidden language concepts in scientific texts in the Ukrainian language, using methods of text mining, dimensionality reduction, grouping of features and linear classifiers.\u0000A corpus of scientific texts and dictionaries, as well as stop words and affixes, has been formed for processing specialized texts. The resulting texts were analyzed and converted into text frequency-inverse document frequency (TF-IDF) feature representation. In order to process the feature vector, we propose to use methods of dimensionality rteduction of the data, in particular, the algorithm for the synthesis of linear systems and Karunen – Loeve transform and grouping of features: T-stochastic grouping of nearest neighbors (T-SNE). A series of experiments were performed on test examples, in particular, for the determination of informational density in the text and classification by keywords in specialized texts using the method of random samples consensus (RANSAC). A method of classification of hidden language concepts was proposed, making use of clustering methods (K-means). As a result of the experiment, the structure of the classifier of hidden language concepts was obtained in structured texts was obtained, which gained a relatively high recognition accuracy (97 – 99 %) using such linear classification algorithms: decision trees and extreme gradient boost machine. The stability of the proposed method is investigated by using the perturbation of the original data by a variational autoencoder, test runs shown that sparse autocoder reduces the mean square error, but the separation band decreases, which affects the convergence of the classification algorithm.\u0000In further research, we propose to apply other methods of analysis of structured texts and ways to improve the separability of specialized texts with similar authorial styles and different topic using a proposed set of parameters. Keywords: text processing, language concepts, pseudoinverse, clusterization, methods of data groupings.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46713068","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":"Statement of the Problem of Complete Set of UAV Group on the Basis of Models of Granular Calculations and Fuzzy Logic","authors":"V. Korolyov, M. Ogurtsov, A. Khodzinsky","doi":"10.34229/2707-451x.21.2.3","DOIUrl":"https://doi.org/10.34229/2707-451x.21.2.3","url":null,"abstract":"Introduction. The increase in the number of heterogeneous groups of UAVs that jointly perform aerial photography missions generates a large amount of poorly structured information: videos, photos, telemetry records, navigation data. To build intelligent databases from unstructured information sources from UAV groups, granular computational approaches are proposed. These approaches are the basis for the application of Big Data technologies and artificial intelligence to increase situational awareness or commercial value of knowledge gained from the data flow from UAV groups.\u0000The purpose of the article. Develop new models for assessing the quality of video data from UAVs, approaches to equipping heterogeneous groups of UAVs and indicators for assessing its tactical and technical characteristics as a team.\u0000Results. The success of UAV group mission planning is based on the forecast of quantitative and qualitative indicators of the received video data. For this purpose, a model for forecasting the quality of the obtained aerial photographs based on the data on the speed, height of the UAV and the angle of the video camera is proposed. The model is based on the development of the theory of fuzzy sets of the first and second types. An example of the implementation of the model in the system of computer mathematics MatLab 2020b is given.\u0000Based on the analysis of a number of works on UAV classification and the proposed model of image quality, the method of equipment for the UAV group and the choice of UAV types are built, as well as the content of the combinatorial optimization problem based on the classic backpack problem. An example of calculations of tactical and technical characteristics for the Ukrainian UAV \"Spectator\" of Meridian ltd. is given.\u0000Conclusions. A new model for assessing the quality of aerial photography images based on fuzzy logic has been developed. The method of staffing UAV groups is proposed. Keywords: Fuzzy logic, granular calculations, UAV equipment, heterogeneous groups, computer simulation.","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49029319","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 Biomedical Computations in Cluster and Cloud Environment","authors":"T. Bardadym, V. Gorbachuk, N. Novoselova, Sergiy Osypenko, V. Skobtsov, Igor Tom","doi":"10.34229/2707-451x.21.2.8","DOIUrl":"https://doi.org/10.34229/2707-451x.21.2.8","url":null,"abstract":"Introduction. This publication summarizes the experience of the use of applied containerized software tools in cloud environment, which the authors gained during the project “Development of methods, algorithms and intellectual analytical system for processing and analysis of heterogeneous clinical and biomedical data in order to improve the diagnosis of complex diseases”, accomplished by the team from the United Institute of Informatics Problems of the NAS of Belarus and V.M. Glushkov Institute of Cybernetics of the NAS of Ukraine. In parallel, the features of biomedical data and the main approaches to their processing and classification, implemented within the framework of an intelligent analytical system, and the possibility of their implementation as part of a container application are described.\u0000The purpose of the paper is to describe modern technologies that ensure the reproducibility of numerical experiments in this field and the tools aimed to integrate several sources of biomedical information in order to improve the diagnostics and prognosis of complex diseases. Special attention is also paid to the methods of handling data received from different sources of biomedical information. Particular attention is paid to methods of processing data obtained from various sources of biomedical information and included to the intelligent analytical system.\u0000Results. The experience of the use of applied containerized biomedical software tools in cloud environment is summarized. The reproducibility of scientific computing in relation with modern technologies of scientific calculations is discussed. The main approaches to biomedical data preprocessing and integration in the framework of the intelligent analytical system are described. The developed hybrid classification model presents the basis of the intelligent analytical system and aims to integrate several sources of biomedical information.\u0000Conclusions. The experience of using the developed classification module NonSmoothSVC, which is part of the developed intelligent analytical system, gained during its testing on artificial and real data, allows us to conclude about several advantages provided by the containerized form of the created application. Namely: \u0000• It permits to provide access to real data located in cloud environment,\u0000• It is possible to perform calculations to solve research problems on cloud resources both with the help of developed tools and with the help of cloud services,\u0000• Such a form of research organization makes numerical experiments reproducible, i.e. any other researcher can compare the results of their developments on specific data that have already been studied by others, in order to verify the conclusions and technical feasibility of new results,\u0000• There exists a universal opportunity to use the developed tools on technical devices of various classes from a personal computer to powerful cluster.\u0000The hybrid classification model as a core of the intelligent system will make i","PeriodicalId":34598,"journal":{"name":"Kibernetika ta kompiuterni tekhnologiyi","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49193980","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}