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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Laboratory workshop on the course "Computer Architecture"
(Національний технічний університет "Харківський політехнічний інститут", 2024) Povoroznyuk, O. A.; Povoroznyuk, A. I.
The laboratory workshop includes methodological instructions for 9 two-hour laboratory works, which include work on determining the PC configuration, controlling the timer and sound, the keyboard, drives on magnetic disks, and controlling the video system in text and graphic modes. Each laboratory work contains an individual task, control questions and the item "Peculiarities of programming" in one of the programming languages Turbo-C or Turbo-Pascal, taking into account the depth of knowledge of the students of a specific programming language. Intended for students of all undergraduate majors in Computer Engineering 123, it can also be useful for both beginners and experienced programmers in creating effective software.
Computer architecture
(Національний технічний університет "Харківський політехнічний інститут", 2024) Povoroznyuk, A. I.; Povoroznyuk, O. A.; Filatova, G. E.
Methodological instructions are intended for the implementation and design of a course project in the educational discipline "Computer Architecture". The purpose and tasks of the course project are the use of theoretical knowledge acquired by students during the study of the course to obtain practical skills in the creation of effective software, using the capabilities of controlling computer modules at the level of input/output control ports, as well as independent solution of a specific professional problem in the specified direction Since this course project is carried out by students of NTU "KhPI" bachelor's degree 123 "Computer engineering" in the 3rd semester, and is the first course project in the curriculum, the "Methodical instructions" also contain information on the basic requirements for the design of text documents, and provides a holistic view of the subject matter, the order of execution and scope of work, the content of the constituent parts of the documents of the course project on the educational discipline "Computer Architecture". Intended for full-time and part-time students of speciality 123 "Computer Engineering", it can also be useful for both beginners and experienced programmers in creating effective software.
Developing an informational model of instrumental examination
(2019) Filatova, A. E.; Povoroznyuk, A. I.; Gavrylenko, Svitlana; Fahs, Mohamad
This document presents the development of an informational model of instrumental examination of a patient using the data flow diagrams (DFD). The developed informational model of the instrumental examination is presented in the form of a context diagram, its decomposition, and the decomposition of the subsystems «Registration and analysis of biomedical signals and images with locally concentrated features» and «Diagnostics». Taking into account the proposed information model, UML diagrams of the activity of the biomedical decision support system based on morphological analysis of biomedical signals and images with locally concentrated features, of the module for morphological analysis of an electrocardiogram, and of the module for improving the quality of visualization of biological objects on radiological images based on the IMRI method are developed.
Application of probabilistic-time graphs for evaluating the effectiveness of the electrocardiological study process
(Одеський національний політехнічний університет, 2020) Filatova, A. E.; Povoroznyuk, A. I.; Fahs, Mohamad
This work is devoted to the development of a structural model of the patient’s electrocardiological study process based on graph theory, probability theory and the method of generating functions. The developed structural model is presented in the form of a probabilistic-time graph, in which nine main states and an uncertainty state (a set of states that do not lead to the goal) are identified, as well as the probabilistic-time characteristics of the arcs of transitions from one graph state to another. The following are identified as the main states characterizing the process to complete an electrocardiological study: the beginning of the study; indications were defined; morphological analysis of biomedical signals with locally concentrated features was performed; pathological changes were identified; comparison with previous electrocardiological studies was performed; dynamics evaluation was completed; evaluation of treatment effectiveness was completed; diagnostic decision was made; recommendations were issued (the end of the electrocardiological study). For the proposed model of the electrocardiological study process by the Mason method, there are obtained analytical expressions for the generating functions of the entire graph, as well as the part of the graph that characterizes the successful completion of the electrocardiological study. Using the indicated generating functions, analytical expressions were obtained to calculate the average transit time of an electrocardiological study and the probability of successful completion of this process. To get all analytic expressions, a program was written in the Matlab language. The developed structural model of an electrocardiological study in the form of a probabilistic-time graph made it possible to identify the main states and determine the criteria for the effectiveness of the process in terms of average time and the probability of a successful study.
Development of alternative diagnostic feature system in the cardiology decision support systems
(Технологический центр, 2016) Povoroznyuk, A. I.; Filatova, A. E.
The trend towards an increase in the production of Ukrainian digital electrocardiographic telemetry systems such as transtelephonic digital 12-channel electrocardiograph complex "Telecard" identified the need to create intelligent automated cardiac decision support systems. The basis of these systems is the morphologic analysis of electrocardiograms, which represent biomedical signals with locally concentrated features. The system of alternative diagnostic features based on the method proposed by the authors of the morphological analysis of biomedical signals with locally concentrated features to provide additional graphical information in the diagnosis of one of the most common cardiac arrhythmias - ventricular arrhythmia is developed. Representation of the electrocardiogram in two-dimensional space of alternative features, as well as hodograph is proposed. Differences between the ECG-hodographs for normal ECG and ECG with different arrhythmias of right and left ventricles, as well as multifocal ventricular arrhythmia are analyzed. It was found that a graphical representation of an electrocardiogram in the alternative feature space allows the physician to visually perform the classification of different types of ventricular arrhythmia, which in combination with the classical analysis of ECG on the time axis increases the reliability of diagnostics.
Design of non-linear filter in the problem of structural identification of biomedical signals with locally concentrated properties
(2013) Povoroznyuk, A. I.; Filatova, A. E.; Myrgorod, Yuri
In this paper we propose a generalized method of structural identification of biomedical signals with locally concentrated properties using a digital non-linear filter. The experimental verification of the detecting function was performed by using different ways to describe the model of the desired class of structural elements.
Development of method of matched morphological filtering of biomedical signals and images
(Allerton Press, 2019) Povoroznyuk, A. I.; Filatova, A. E.; Zakovorotniy, A. Yu.; Shehna, Kh.
Formalized approach to the analysis of biomedical signals and images with locally concentrated features is developed on the basis of matched morphological filtering taking into account the useful signal models that allowed generalizing the existing methods of digital processing and analysis of biomedical signals and images with locally concentrated features. The proposed matched morphological filter has been adapted to solve such problems as localization of the searched structural elements on biomedical signals with locally concentrated features, estimation of the irregular background aimed at the visualization quality improving of biological objects on X-ray biomedical images, pathologic structures selection on mammogram. The efficiency of the proposed methods of matched morphological filtration of biomedical signals and images with locally concentrated features is proved by experiments.