Кафедра "Комп'ютерна інженерія та програмування"

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/1095

Офіційний сайт кафедри https://web.kpi.kharkov.ua/cep

Від 26 листопада 2021 року кафедра має назву – "Комп’ютерна інженерія та програмування"; попередні назви – “Обчислювальна техніка та програмування”, “Електронні обчислювальні машини”, первісна назва – кафедра “Математичні та лічильно-вирішальні прилади та пристрої”.

Кафедра “Математичні та лічильно-вирішальні прилади та пристрої” заснована 1 вересня 1961 року. Організатором та її першим завідувачем був професор Віктор Георгійович Васильєв.

Кафедра входить до складу Навчально-наукового інституту комп'ютерних наук та інформаційних технологій Національного технічного університету "Харківський політехнічний інститут". Перший випуск – 24 інженери, підготовлених кафедрою, відбувся в 1964 році. З тих пір кафедрою підготовлено понад 4 тисячі фахівців, зокрема близько 500 для 50 країн світу.

У складі науково-педагогічного колективу кафедри працюють: 11 докторів технічних наук, 21 кандидат технічних наук, 1 – економічних, 1 – фізико-математичних, 1 – педагогічних, 1 доктор філософії; 9 співробітників мають звання професора, 14 – доцента, 2 – старшого наукового співробітника.

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Transaction Planning Methods in Hyperconverged Architecture Systems
(Ceur-ws, 2019) Bulba, S. S.; Kuchuk, N. G.; Semenova, A.; Zhengbing, Hu
The analysis of the features of the functioning of systems with hyperconverged architecture is carried out. Transaction efficiency in such systems is reduced compared to decentralized systems. The purpose of the research: to develop a method for planning transactions in systems with a hypeconvergent architecture, which will take into account the specifics of the functioning of such systems. The development of the method takes into account the centralized management of the transaction package and the distribution of various resources. Existing methods for determining the sequence of transactions in systems with hyperconverged architecture are considered. The methods that were considered were based on the greedy, clustering, and ant algorithms. For each method, its features and functioning scheme are determined. Analysis of existing methods showed the advantages of the greedy algorithm with a small system load. It is also proved that with the growth of information volumes and the number of simultaneously executed transactions, each of the methods considered is less effective than with decentralized management. Therefore, a method for planning the execution of transactions through the sharing of these optimization algorithms is proposed. This allowed to reduce the execution time of the optimal transaction plan in comparison with existing methods. The experiments showed that the effectiveness of the proposed method increases with increasing amount of information. Which is processed by a transaction package of a hyperconverged system.
The method of improving the efficiency of routes selection in networks of connection with the possibility of self-organization
(2019) Kuchuk, N. G.; Mohammed, A.; Shyshatskyi, A.; Nalapko, O.
One of the directions improving the efficiency of communication networks with the ability to self-organization is the choice of rational route information transmission from sender to recipient. In the course of the analysis it was established that the existing scientific approaches for forecasting the state of the routes have high computational complexity, which prevents them from predicting the state of the transmission routes in real time. Therefore, the authors of this research conducted a methodology for forecasting the time overload of data transmission routes in mobile radio networks of radio networks with the possibility of self-organization. As the basic mathematical device, the neural network of Elman was used based on the calculation of the network neuron potential. The essence of the proposed method is to decide on the search for new routes based on the predicted time of overloading data transmission routes in mobile radio networks with the possibility of self-organization. The proposed method allows to predict the time of overloading of data transmission routes in mobile radio networks with the possibility of self-organization by reducing the computational complexity of the neural network and application of the algorithm for training the neural network. It is advisable to use the proposed methodology in radio communication with programmable architecture by developing appropriate software, which will increase the efficiency of choosing a route of data transmission in radio communication networks with the ability to self-organize.
Resources redistribution method of university e-learning on the hyperconvergent platform
(National Aerospace University n. a. N. E. Zhukovsky "KhAI", 2018) Merlak, V.; Kuchuk, N. G.; Shmatkov, S.; Nechausov, A.
In this article a method of constructing a graph model of university e-learning functioning process, deployed on a hyperconvergent platform, proposed. The method is based on problems and objectives of the system structure analysis. The created graph considers available e-learning resources.
Method of information flow control in a hyperconvergent system
(Харківський національний університет Повітряних Сил ім. Івана Кожедуба, 2019) Kuchuk, N. G.
In a hyperconvergent system, maintenance costs are reduced. But system performance decreases due to centralized control. Therefore, in such a system, the task of optimizing the distribution of information flows has a significant role. The purpose of the article is to develop a method of information flow control in a hyperconvergent system. Results of the research. The analysis of the causes of packet delay in a hyperconvergent system has been performed. An analytical expression is obtained for calculating the value of the data packet delay on the route. The main factors of delay are revealed. Analytical expressions are obtained for calculating the maximum intensities of information flows in a hyperconvergent system. A method for selecting the optimal packet length is proposed. The formulation of the problem of distribution of information flows along routes is formulated. Conclusions. The proposed method is effective with centralized control and the absence of heterogeneous components. This method allows you to reduce the cost of computing resources, especially with increasing network dimensionality.
Mathematical model of e-learning transaction process
(National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", 2018) Shmatkov, S. I.; Kuchuk, N. G.
Background. In the case of hyper-converged management, granular updating of the system is impossible. In addition, the processing time of transactions compared to distributed systems increases. Therefore, the task of ensuring the timely execution of transactions is relevant. Objective. The aim of the paper is to develop a mathematical model of e-learning transactions in a hyper-converged environment supporting electronic educational resources. In this model, timely execution of transaction requests minimizes the costs of the computing resource. Methods. A two-stage method for constructing a mathematical model is proposed. At the first stage, a set of valid transaction options for resources is defined. At the second stage, there is an optimal time allocation of resources between transactions. Results. A mathematical model of the transaction process is developed. The adequacy of the model is verified with the help of the simulation model. Conclusions. A mathematical model of e-learning transactions in a hyper-converged environment supporting electronic educational resources is proposed. This model allows minimizing the cost of a computational resource with timely execution of transaction requests.
Method of building the semantic network of distributed search in e-learning
(Харківський національний університет радіоелектроніки, 2017) Kuchuk, N. G.; Artiukh, R. V.; Nechausov, A. S.
The subject matter of the article is semantic networks of distributed search in e-learning. The goal is to synthesize a decision tree and a stratified semantic network that allows network intelligent agents in the e-learning to construct inference mechanisms according to the required attributes and specified relationships. The following results are obtained. The model of the base decision tree in e-learning is suggested. To simulate the decision tree in e-learning, the logic of predicates of the first order was used, which enabled making calculations both at the nodes of the tree and at its edges, and making decisions based on the results of calculations; applying partitioning operations to select individual fragments; specifying the solutions with further expanding the inference upper vertices; expanding the multi-level model vertically and horizontally. At the first stage of the model formalization, the graph of the base decision tree was constructed, whose nodes represent a substructure capable of performing an autonomous search subtask. The second stage is filling the base tree with semantic information and organizing its interaction with network intelligent agents. To provide the tree branches of decisions in e-learning with information, the process of stratified expansion of the base decision tree was suggested where the components of the decision node were detailed and the links among the received sub-units were established both on the horizontal and on the vertical levels. It is shown that in order to establish a set of goals and search problems on the studied structure, it suffices to determine: the graphs of goals and search problems for each node type; a set of edges that determine the dependence of the execution of search targets for the nodes that are not of the same type; a set of pointers that establish probable relationships for redistributing resources in accordance with the requirements of intelligent agents; communication mapping. The developed mathematical model of the base decision tree enabled a stratified expansion. Determining intensions and extensions allowed stratified semantic networks to be used for searching. Conclusions. The method of synthesizing a decision tree and a stratified semantic network is suggested; this method enables considering them as closely interrelated ones in the context of distributed search in e-learning. As a result, the process of searching and designing inference mechanisms can be formalized by the network intelligent agents according to the required attributes and given relationships.
Application of wavelets transform for analysis of images of gas-discharge radiation of water
(Харківський університет Повітряних Сил ім. Івана Кожедуба, 2016) Glukhova, N. V.; Pesotskaya, L. A.; Kuchuk, N. G.; Kharlamova, J. N.
The issues of experimental methods of studying biological water properties are considered. The existing problems of theoretical and experimental studies of water properties are described, the key value of features of the structure of water for normal functioning of living organisms is shown. Since the standard classical methods of physical and chemical analysis do not provide the possibility of implementing experimental evaluation of specific biological properties of water, as an alternative, there is proposed a method of recording gas discharge irradiance of liquidphase objects in an electromagnetic field followed by software image processing based on wavelet analysis. The efficiency of the proposed method was tested on real data samples for distilled water samples and natural water. The results obtained from the extraction of specific parameters of structural features of gas discharge radiance images demonstrate the effectiveness of wavelet analysis algorithms for images of radiation of water samples with different biological properties.