Information Technology and Computer Engineering最新文献_第9页

METHOD OF STRUCTURAL IDENTIFICATION OF NONLINEAR INTERVAL MODELS OF STATIC OBJECTS 静态物体非线性区间模型的结构识别方法

Information Technology and Computer Engineering Pub Date : 1900-01-01 DOI: 10.31649/1999-9941-2022-54-2-103-114

M. Dyvak, V. I. Manzhula, A. Melnyk, A. Pukas

引用次数: 1

APPLICATION OF ROLLED NEURAL NETWORKS FOR DIAGNOSIS OF COVID-19 ON THE BASIS OF PULMONARY X-RAYS 基于肺部x线图像的滚动神经网络在COVID-19诊断中的应用

Information Technology and Computer Engineering Pub Date : 1900-01-01 DOI: 10.31649/1999-9941-2021-50-1-64-68

Yevhen O. Shemet, Andrii Papa, A. Yarovyi

{"title":"APPLICATION OF ROLLED NEURAL NETWORKS FOR DIAGNOSIS OF COVID-19 ON THE BASIS OF PULMONARY X-RAYS","authors":"Yevhen O. Shemet, Andrii Papa, A. Yarovyi","doi":"10.31649/1999-9941-2021-50-1-64-68","DOIUrl":"https://doi.org/10.31649/1999-9941-2021-50-1-64-68","url":null,"abstract":". The object of the study is the process of classification of lung radiographs for the diagnosis of COVID-19. The research is based on the use of deep convolutional neural networks, which make it possible to store spatial information and analyze complex images, prevent- ing the attenuation of the gradient. The principle of operation of convolutional neural networks and the advantages of their use in application to complex images, in comparison with artificial neural networks based on a multilayer perceptron are considered. The main assumption of the study is the hypothesis that the use of a deep convolutional neural network for the classification of radiographs of the lungs will obtain a high-accuracy result in the diagnosis of COVID-19 and will automate the diagnostic process. The urgency of the problem of automated diag- nosis of COVID-19 on the basis of lung radiographs is considered. Training of high-performance architectures of deep convolutional neural networks, with the use of additional methods of image processing to prevent retraining. The results of neural networks are compared and statistical information is given to assess the quality of their work. The analysis of the results of the artificial neural network, using image division by the Lyme method. The expediency and prospects of using deep convolutional artificial neural networks for automation of COVID-19 diagnosis on the basis of pulmonary radiographs are substantiated. Common errors of artificial neural networks and possible approaches to their prevention are analyzed. The disadvantages of using the considered approaches and the difficulties that may arise in automation are considered, according to the results, possible options for improving the quality of the deep convolutional neural network are proposed.","PeriodicalId":121207,"journal":{"name":"Information Technology and Computer Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121283425","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}

引用次数: 0

ONTOLOGICAL MODELING OF THE KNOWLEDGE BASE OF THE MUSICAL SUPERGENRE "METAL" 音乐超体裁“金属”知识库的本体建模

Information Technology and Computer Engineering Pub Date : 1900-01-01 DOI: 10.31649/1999-9941-2021-51-2-45-50

O. Silagin, D. Zelinska, V. Girdvainis

{"title":"ONTOLOGICAL MODELING OF THE KNOWLEDGE BASE OF THE MUSICAL SUPERGENRE \"METAL\"","authors":"O. Silagin, D. Zelinska, V. Girdvainis","doi":"10.31649/1999-9941-2021-51-2-45-50","DOIUrl":"https://doi.org/10.31649/1999-9941-2021-51-2-45-50","url":null,"abstract":". The paper presents an ontological modeling of the subject area of a prominent cultural and musical phenomenon, namely the mod-ern musical supergenre \"metal\". A terminological dictionary on this subject area was created using the concept of terminological system. The possibilities of the Protégé ontology development environment in the context of the stated subject area were analyzed. The basic principle of ontology modeling in the form of a semantic network is chosen, which can be gradually expanded, deepening the knowledge about the sub- ject area. The ontological model of the knowledge base is implemented by means of the Protégé environment, using knowledge of the rela-tionship of functionality, transitivity, reflexivity to structure information and adhere to the principles of its completeness, reliability and consistency. The criterion for assessing the correctness of the ontological model of the knowledge base was chosen. Testing of the developed ontological knowledge base was carried out and the high level of its correctness in the process of information retrieval was confirmed. Possi- ble directions of further expansion of the ontological model are indicated.","PeriodicalId":121207,"journal":{"name":"Information Technology and Computer Engineering","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121944897","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}

引用次数: 0

HIGH LINEARITY BALANCED PUSH-PULL DC AMPLIFIER WITH LOW ERROR OF ZERO OFFSET 高线性平衡推挽式直流放大器，零偏置误差小

Information Technology and Computer Engineering Pub Date : 1900-01-01 DOI: 10.31649/1999-9941-2020-47-1-22-31

O. Azarov, Y. Heneralnytskyi

{"title":"HIGH LINEARITY BALANCED PUSH-PULL DC AMPLIFIER WITH LOW ERROR OF ZERO OFFSET","authors":"O. Azarov, Y. Heneralnytskyi","doi":"10.31649/1999-9941-2020-47-1-22-31","DOIUrl":"https://doi.org/10.31649/1999-9941-2020-47-1-22-31","url":null,"abstract":"Annotation. It is known that push-pull DC amplifiers (PPDA), as a rule, have a high linearity of the transfer characteristic, a wide passband (hundreds of MHz and GHz units) at the level of unity gain, and a significant rate of change in the output voltage (at least thousands of volts per microsecond). Serial models of such integrated PPDA are produced by Analog Devices, Texas Instruments, Linear Technology, National Semiconductor and others. Due to the presence of these characteristics, PPDA are widely used in current-voltage, current-current, ADC, DAC, direct digital synthesis systems and multi-channel digital systems for processing and recording analog signals. Despite the high indicated static and dynamic characteristics of the PPDAs built on bipolar transistors, which have a significant additive error in the form of an input zero bias current of hundreds of nA and μA units. Often this can degrade the static parameters of these devices and systems. When the input zero bias current appears, there are basic currents of bipolar transistors in the input stages of the amplifiers. To reduce their influence in single-cycle current amplifiers, some special circuit methods are used. Which allow an order of magnitude to reduce the input zero bias current of the differential stage without affecting the bias voltage or speed. To reduce the input zero bias current in the PPDA, it was proposed to apply basic current compensation in the input stages, as well as to build the input stages on Shiklai composite transistors, which will significantly improve the accuracy of the circuit as a whole.","PeriodicalId":121207,"journal":{"name":"Information Technology and Computer Engineering","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131729007","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}

引用次数: 0

THE DEVELOPMENT OF THE MODIFIED SCHLICK MODEL FOR THE SPECULAR COLOR COMPONENT CALCULATION 改进的schlick模型用于镜面颜色分量的计算

Information Technology and Computer Engineering Pub Date : 1900-01-01 DOI: 10.31649/1999-9941-2022-55-3-4-12

Yevhen Zavalniuk, O. Romanyuk, V. Voitko, O. Romanyuk, A. Snigur

引用次数: 2

HIGH-LINE VOLTAGE BUFFERS FOR HIGH-PERFORMANCE ADCS AND DACS 用于高性能adc和dac的高线电压缓冲器

Information Technology and Computer Engineering Pub Date : 1900-01-01 DOI: 10.31649/1999-9941-2023-56-1-44-51

V. O. Bagatsky, S. Bogomolov, S. Zakharchenko

引用次数: 0

ANALYSIS OF THE CURRENT STATE OF HIDDEN DATA TRANSMISSION IN THE PUBLIC INFORMATION TELECOMMUNICATIONS NETWORK 公共信息电信网中隐藏数据传输的现状分析

Information Technology and Computer Engineering Pub Date : 1900-01-01 DOI: 10.31649/1999-9941-2022-54-2-61-67

V. I. Chystov, K. Vasiuta

引用次数: 1

DECISION SUPPORT SYSTEM FOR INCREASING THE LEVEL OF INFORMATION SECURITY OF THE ENTERPRISE 提高企业信息安全水平的决策支持系统

Information Technology and Computer Engineering Pub Date : 1900-01-01 DOI: 10.31649/1999-9941-2022-53-1-12-18

A. Azarova, I. Dohtieva, A. Shyian

引用次数: 2