Íàö³îíàëüíèé àåðîêîñì³÷íèé óí³âåðñèòåò ³ì. Ì.ª. Æóêîâñüêîãî “Õàðê³âñüêèé àâ³àö³éíèé ³íñòèòóò”

 

ISSN 1814-4225. ÐÀIJÎÅËÅÊÒÐÎÍͲ ² ÊÎÌÏ’ÞÒÅÐͲ ÑÈÑÒÅÌÈ. – 2016. ¹ 1 (75). – 126 ñ.

ISSN 1814-4225. ÐÀÄÈÎÝËÅÊÒÐÎÍÍÛÅ È ÊÎÌÏÜÞÒÅÐÍÛÅ ÑÈÑÒÅÌÛ. – 2016. ¹ 1 (75). – 126 ñ.

ISSN 1814-4225. RADIOELECTRONIC AND COMPUTER SYSTEMS. – 2016. ¹ 1 (75). – 126 ñ.

 

ÑÒÀÒÒ² (articleS)

 

Àâòîðè
(ìîâà
îðèã³íàëó)

Íàçâà ñòàòò³ (article title)

Ñòîð³íêè

(pages)

English

Óêðà¿íñüêà ìîâà

Ðóññêèé ÿçûê

Ñïåö³àë³çîâàí³ êîìï’þòåðí³ ñèñòåìè ³ îáðîáêà çîáðàæåíü

Ôåäîðåíêî Í. È.,
Àíòîíÿí È. Ì.,
Ñòåöèøèí Ð. Â.,
Õàð÷åíêî Â. Ñ.

DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS

ÁÀÃÀÒÎÔÀÊÒÎÐÍÅ ²ªÐÀÐÕ²×ÍÅ ÍÅÉÐÎÌÅÐÅÆÅÂÅ ÐÎÇϲÇÍÀÂÀÍÍß ÇÀÕÂÎÐÞÂÀÍÜ Â ÓÐÎËÎò¯

ÌÍÎÃÎÔÀÊÒÎÐÍÎÅ ÈÅÐÀÐÕÈ×ÅÑÊÎÅ ÍÅÉÐÎÑÅÒÅÂÎÅ ÐÀÑÏÎÇÍÀÂÀÍÈÅ ÇÀÁÎËÅÂÀÍÈÉ Â ÓÐÎËÎÃÈÈ

4–9
(6)

Âàñèëüåâà È. Ê.,
Íå÷àóñîâ À. Ñ.

THE METHOD SIMULATING NON-STATIONARY FIELDS OF ATMOSPHERIC POLLUTANT CONCENTRATIONS

ÌÅÒÎÄ ÌÎÄÅËÞÂÀÍÍß ÍÅÑÒÀÖ²ÎÍÀÐÍÈÕ ÏÎ˲ ÊÎÍÖÅÍÒÐÀÖ²É ÀÒÌÎÑÔÅÐÍÈÕ ÄÎ̲ØÎÊ

ÌÅÒÎÄ ÌÎÄÅËÈÐÎÂÀÍÈß ÍÅÑÒÀÖÈÎÍÀÐÍÛÕ ÏÎËÅÉ ÊÎÍÖÅÍÒÐÀÖÈÉ ÀÒÌÎÑÔÅÐÍÛÕ ÏÐÈÌÅÑÅÉ

10–18
(9)

Krasnobayev V. A.,
Yanko A. S.,
Kurchanov V. N.,
Koshman S. A.

THE ANALYSIS OF THE TASKS AND ALGORITHMS OF DATA INTEGER PROCESSING IN THE RESIDUAL CLASSES SYSTEM

ÀÍÀË²Ç ÇÀÄÀ× ² ÀËÃÎÐÈÒ̲ ֲËÎ×ÈÑËÎÂί ÎÁÐÎÁÊÈ ÄÀÍÈÕ Ó ÑÈÑÒÅ̲ ÇÀËÈØÊÎÂÈÕ ÊËÀѲÂ

ÀÍÀËÈÇ ÇÀÄÀ× È ÀËÃÎÐÈÒÌΠÖÅËÎ×ÈÑËÅÍÍÎÉ ÎÁÐÀÁÎÒÊÈ ÄÀÍÍÛÕ Â ÑÈÑÒÅÌÅ ÎÑÒÀÒÎ×ÍÛÕ ÊËÀÑÑÎÂ

19–28
(10)

Ãóñÿòèí Â. Ì.,
Ãóñÿòèí Ì. Â.

SYNTHESIS OF REVERSE TRACING VECTOR TEXTURE IMAGES FORMED SPHERICAL INTERPOLATION

ÑÈÍÒÅÇ ÇÂÎÐÎÒÍÈÌ ÒÐÀÑÓÂÀÍÍßÌ ÇÎÁÐÀÆÅÍÜ ÂÅÊÒÎÐÍÈÕ ÒÅÊÑÒÓÐ, ÑÔÎÐÌÎÂÀÍÈÕ ÌÅÒÎÄÎÌ ÑÔÅÐÈ×Íί ²ÍÒÅÐÏÎËßÖ²¯

ÑÈÍÒÅÇ ÎÁÐÀÒÍÛÌ ÒÐÀÑÑÈÐÎÂÀÍÈÅÌ ÈÇÎÁÐÀÆÅÍÈÉ ÂÅÊÒÎÐÍÛÕ ÒÅÊÑÒÓÐ, ÑÔÎÐÌÈÐÎÂÀÍÍÛÕ ÌÅÒÎÄÎÌ ÑÔÅÐÈ×ÅÑÊÎÉ ÈÍÒÅÐÏÎËßÖÈÈ

29–34
(6)

Íàóìåíêî À. Â.,
Êðèâåíêî Ñ. Ñ.,
Çðÿõîâ Ì. Ñ.,
Ëóêèí Â. Â.

NOISY TEXTURES DETECTION USING NEURAL NETWORK CLASSIFICATION

ÂÈßÂËÅÍÍß ÒÅÊÑÒÓÐÍÈÕ Ä²ËßÍÎÊ ÍÀ ÇÎÁÐÀÆÅÍÍßÕ ÇÀ ÍÀßÂÍÎÑÒ² ÇÀÂÀÄ ÇÀ ÄÎÏÎÌÎÃÎÞ ÊËÀÑÈÔ²ÊÀÒÎÐÀ ÍÀ ÎÑÍβ ÍÅÉÐÎÌÅÐÅƲ

ÎÁÍÀÐÓÆÅÍÈÅ ÒÅÊÑÒÓÐÍÛÕ Ó×ÀÑÒÊΠÍÀ ÈÇÎÁÐÀÆÅÍÈßÕ ÏÐÈ ÍÀËÈ×ÈÈ ÏÎÌÅÕ ÊËÀÑÑÈÔÈÊÀÒÎÐÎÌ ÍÀ ÎÑÍÎÂÅ ÍÅÉÐÎÑÅÒÈ

35–44
(10)

Áîðòîâ³ ñèñòåìè êåðóâàííÿ

Êîðòóíîâ Â. È.,
Ìàçóðåíêî À. Â.,
Ìóõàììåä Àëè Õóñåéí Âàòèê

CONTROL TOOLS OF MINI AND MICRO-UAV

ÇÀÑÎÁÈ ÊÅÐÓÂÀÍÍß Ì²Í² ÒÀ ̲ÊÐÎ-ÁÏËÀ

ÑÐÅÄÑÒÂÀ ÓÏÐÀÂËÅÍÈß ÌÈÍÈ È ÌÈÊÐÎ-ÁÏËÀ

45–55
(11)

Ôèðñîâ Ñ. Í.,
Áîÿðêèí À. À.,
Áóäèáà Óèññàì,

Æåæåðà È. Â.

FUNCTIONALLY STABLE SYSTEM FOR STABILIZATION OF THE LONGITUDINAL MOVEMENT PARAMETER OF SMALL-SIZED AIRCRAFT

ÔÓÍÊÖ²ÎÍÀËÜÍÎ ÑÒ²ÉÊÀ ÑÈÑÒÅÌÀ ÑÒÀÁ²Ë²ÇÀÖ²¯ ÏÀÐÀÌÅÒÐÀ ÏÎÂÇÄÎÂÆÍÜÎÃÎ ÐÓÕÓ ÌÀËÎÃÀÁÀÐÈÒÍÎÃΠ˲ÒÀËÜÍÎÃÎ ÀÏÀÐÀÒÓ

ÔÓÍÊÖÈÎÍÀËÜÍÎ ÓÑÒÎÉ×ÈÂÀß ÑÈÑÒÅÌÀ ÑÒÀÁÈËÈÇÀÖÈÈ ÏÀÐÀÌÅÒÐÀ ÏÐÎÄÎËÜÍÎÃÎ ÄÂÈÆÅÍÈß ÌÀËÎÃÀÁÀÐÈÒÍÎÃÎ ËÅÒÀÒÅËÜÍÎÃÎ ÀÏÏÀÐÀÒÀ

56–60
(5)

Òåëåêîìóí³êàö³éí³ ñèñòåìè

Áóíÿåâà È. Â.

SIGNALS FAST ACQUISITION ALGORITHM FOR GNSS RECEIVERS

ÀËÃÎÐÈÒÌ ØÂÈÄÊÎÃÎ ÏÎØÓÊÓ ÑÈÃÍÀ˲  ÏÐÈÉÌÀ×ÀÕ GNSS

ÀËÃÎÐÈÒÌ ÁÛÑÒÐÎÃÎ ÏÎÈÑÊÀ ÑÈÃÍÀËÎÂ Â ÏÐÈÅÌÍÈÊÀÕ GNSS

61–65
(5)

Ëàáóòêèíà Ò. Â.,
Ëàðèí Â. À.,
Áåëèêîâ Â. Â.,
Áîðù¸âà À. Â.,
Òèõîíîâà À. À.,
Äåðåâÿøêèí Ä. È.

A SIMULATION MODEL OF A PACKET SWITCHING SATELLITE NETWORK WITH DIFFERENT ORBIT HEIGHTS SEGMENT

²Ì²ÒÀÖ²ÉÍÀ ÌÎÄÅËÜ ÑÓÏÓÒÍÈÊÎÂί ÌÅÐÅƲ ÊÎÌÓÒÀÖ²¯ ÏÀÊÅÒ²Â Ç Ð²ÇÍÎÂÈÑÎÒÍÈÌÈ ÎÐÁ²ÒÀËÜÍÈÌÈ ÑÅÃÌÅÍÒÀÌÈ

ÈÌÈÒÀÖÈÎÍÍÀß ÌÎÄÅËÜ ÑÏÓÒÍÈÊÎÂÎÉ ÑÅÒÈ ÊÎÌÌÓÒÀÖÈÈ ÏÀÊÅÒÎÂ Ñ ÐÀÇÍÎÂÛÑÎÒÍÛÌÈ ÎÐÁÈÒÀËÜÍÛÌÈ ÑÅÃÌÅÍÒÀÌÈ

66–83
(18)

Êîæåìÿêèíà Í. Â.,
Ïîíîìàðåíêî Í. Í.

METHOD OF DATA COMPRESSION FOR TRAFFIC MONITORING TOOLS OF COMMUNICATION

ÌÅÒÎÄ ÑÒÈÑÍÅÍÍß ÄÀÍÈÕ ÌÎͲÒÎÐÈÍÃÓ ÒÐÀÔ²ÊÓ ÄËß ÇÀÑÎÁ²Â ÒÅËÅÊÎÌÓͲÊÀÖ²É

ÌÅÒÎÄ ÑÆÀÒÈß ÄÀÍÍÛÕ ÌÎÍÈÒÎÐÈÍÃÀ ÒÐÀÔÈÊÀ ÄËß ÑÐÅÄÑÒÂ ÒÅËÅÊÎÌÌÓÍÈÊÀÖÈÉ

84–88
(5)

Íàâ÷àþ÷³ ñèñòåìè

Ãàéäà÷óê Ä. À.,
×óõðàé À. Ã.

METHOD OF STUDENTS COMPUTER PROGRAMS STRUCTURAL DIAGNOSING

ÌÅÒÎÄ ÑÒÐÓÊÒÓÐÍÎÃΠIJÀÃÍÎÑÒÓÂÀÍÍß ÑÒÓÄÅÍÒÑÜÊÈÕ ÊÎÌÏ’ÞÒÅÐÍÈÕ ÏÐÎÃÐÀÌ

ÌÅÒÎÄ ÑÒÐÓÊÒÓÐÍÎÃÎ ÄÈÀÃÍÎÑÒÈÐÎÂÀÍÈß ÑÒÓÄÅÍ×ÅÑÊÈÕ ÊÎÌÏÜÞÒÅÐÍÛÕ ÏÐÎÃÐÀÌÌ

89–98
(10)

×óõðàé À. Ã.,
Øàòàëîâà Ì. Î.

DEVELOPMENT OF THE ARCHITECTURE OF INTELLIGENT SYSTEM FOR TEACHING PHYSICS

ÐÎÇÐÎÁÊÀ ÀÐÕ²ÒÅÊÒÓÐÈ ²ÍÒÅËÅÊÒÓÀËÜÍί ÑÈÑÒÅÌÈ ÄËß ÂÈÂ×ÅÍÍß Ô²ÇÈÊÈ

ÐÀÇÐÀÁÎÒÊÀ ÀÐÕÈÒÅÊÒÓÐÛ ÈÍÒÅËËÅÊÒÓÀËÜÍÎÉ ÑÈÑÒÅÌÛ ÄËß ÎÁÓ×ÅÍÈß ÔÈÇÈÊÅ

99–104
(6)

²íôîðìàö³éí³ òåõíîëî㳿 â óïðàâë³íí³ ï³äïðèºìñòâàìè, ïðîãðàìàìè òà ïðîåêòàìè

Øèøêî È. Â.,
Ïðîõîðîâ À. Â.,
Ïðîõîðîâ Â. Ï.,
Áóðüÿíîâà Ì. Ï.,
Ìàòþøêî À. Î.,
Àëèëóåíêî Å. Î.

GEOINFORMATION SYSTEM FOR REGIONAL RESOURCES MONITORING AND MANAGEMENT DECISION INFORMATION-ANALYTICAL SUPPORT

ÃÅβÍÔÎÐÌÀÖ²ÉÍÀ ÑÈÑÒÅÌÀ ÌÎͲÒÎÐÈÍÃÓ ÐÅòÎÍÀËÜÍÈÕ ÐÅÑÓÐѲ ÒÀ ²ÍÔÎÐÌÀÖ²ÉÍÎ-ÀÍ˲ÒÈ×Íί ϲÄÒÐÈÌÊÈ ÓÏÐÀÂ˲ÍÑÜÊÈÕ Ð²ØÅÍÜ

ÃÅÎÈÍÔÎÐÌÀÖÈÎÍÍÀß ÑÈÑÒÅÌÀ ÌÎÍÈÒÎÐÈÍÃÀ ÐÅÃÈÎÍÀËÜÍÛÕ ÐÅÑÓÐÑÎÂ È ÈÍÔÎÐÌÀÖÈÎÍÍÎ-ÀÍÀËÈÒÈ×ÅÑÊÎÃÎ ÑÎÏÐÎÂÎÆÄÅÍÈß ÓÏÐÀÂËÅÍ×ÅÑÊÈÕ ÐÅØÅÍÈÉ

105–113
(9)

Ôåäîðîâè÷ Î. Å.,
Çàïàäíÿ Ê. Î.,
Èâàíîâ Ì. Â.

USING THE PRECEDENTIAL APPROACH FOR ACTION PLAN FORMATION FOR INCREASING COMPETITIVENESS OF DEVELOPING ENTERPRISE

ÂÈÊÎÐÈÑÒÀÍÍß ÏÐÅÖÅÄÅÍÒÍÎÃΠϲÄÕÎÄÓ ÄËß ÔÎÐÌÓÂÀÍÍß ÏËÀÍÓ ÇÀÕÎIJ ÙÎÄΠϲÄÂÈÙÅÍÍß ÊÎÍÊÓÐÅÍÒÎÑÏÐÎÌÎÆÍÎÑÒ² ϲÄÏÐȪÌÑÒÂÀ, ÙÎ ÐÎÇÂÈÂÀªÒÜÑß

ÈÑÏÎËÜÇÎÂÀÍÈÅ ÏÐÅÖÅÄÅÍÒÍÎÃÎ ÏÎÄÕÎÄÀ ÄËß ÔÎÐÌÈÐÎÂÀÍÈß ÏËÀÍÀ ÌÅÐÎÏÐÈßÒÈÉ ÏÎ ÏÎÂÛØÅÍÈÞ ÊÎÍÊÓÐÅÍÒÎÑÏÎÑÎÁÍÎÑÒÈ ÐÀÇÂÈÂÀÞÙÅÃÎÑß ÏÐÅÄÏÐÈßÒÈß

114–118
(5)

Ôåäîðîâè÷ Î. ª.,
Áàáè÷ Î. Â.

METHOD OF MULTILEVEL COMPONENT DESIGN TO ENSURE THE QUALITY OF CREATED SOFTWARE SYSTEM

ÌÅÒÎÄ ÁÀÃÀÒÎвÂÍÅÂÎÃÎ ÊÎÌÏÎÍÅÍÒÍÎÃÎ ÏÐÎÅÊÒÓÂÀÍÍß ÄËß ÇÀÁÅÇÏÅ×ÅÍÍß ßÊÎÑÒ² ÑÒÂÎÐÞÂÀÍί ÏÐÎÃÐÀÌÍί ÑÈÑÒÅÌÈ

ÌÅÒÎÄ ÌÍÎÃÎÓÐÎÂÍÅÂÎÃÎ ÊÎÌÏÎÍÅÍÒÍÎÃÎ ÏÐÎÅÊÒÈÐÎÂÀÍÈß ÄËß ÎÁÅÑÏÅ×ÅÍÈß ÊÀ×ÅÑÒÂÀ ÑÎÇÄÀÂÀÅÌÎÉ ÏÐÎÃÐÀÌÌÍÎÉ ÑÈÑÒÅÌÛ

119–124
(6)

 

ÀËÔÀ²ÒÍÈÉ ÏÎÊÀÆ×ÈÊ

125

 

 

Øàíîâí³ ÷èòà÷³!

Íàóêîâî-òåõí³÷íèé æóðíàë «ÐÀIJÎÅËÅÊÒÐÎÍͲ ² ÊÎÌÏ'ÞÒÅÐͲ ÑÈÑÒÅÌÈ»:

- âõîäèòü äî çàòâåðäæåíîãî ÌÎÍ Óêðà¿íè Ïåðåë³êó íàóêîâèõ ôàõîâèõ âèäàíü Óêðà¿íè, â ÿêèõ ìîæóòü ïóáë³êóâàòèñÿ ðåçóëüòàòè äèñåðòàö³éíèõ ðîá³ò íà çäîáóòòÿ íàóêîâèõ ñòóïåí³â äîêòîðà ³ êàíäèäàòà íàóê (äèâ. íàêàç ÌÎÍ Óêðà¿íè ¹ 1279 â³ä 6.11.2014 ð.);

- çáåð³ãàºòüñÿ ó çàãàëüíîäåðæàâí³é ðåôåðàòèâí³é áàç³ äàíèõ «Óêðà¿í³êà íàóêîâà» òà ïóáë³êóºòüñÿ ó â³äïîâ³äíèõ òåìàòè÷íèõ ñåð³ÿõ óêðà¿íñüêîãî ðåôåðàòèâíîãî æóðíàëó «Äæåðåëî» (â³ëüíèé îí-ëàéíîâèé äîñòóï äî ðåñóðñ³â íà Web-ñåðâåð³ http://www.nbuv.gov.ua) (Óêðà¿íà);

- çáåð³ãàºòüñÿ ó ðåôåðàòèâí³é áàç³ äàíèõ Âñåðîñ³éñüêîãî ³íñòèòóòó íàóêîâî¿ ³ òåõí³÷íî¿ ³íôîðìàö³¿ (²ͲҲ) Ðîñ³éñüêî¿ àêàäå쳿 íàóê ³ ïóáë³êóºòüñÿ ó â³äïîâ³äíèõ òåìàòè÷íèõ ñåð³ÿõ ÐÆ (â³ëüíèé îí-ëàéíîâèé äîñòóï äî ðåñóðñ³â íà Web-ñåðâåð³ http://www.viniti.ru) (Ðîñ³éñüêà Ôåäåðàö³ÿ);

- âêëþ÷åíèé äî ì³æíàðîäíèõ á³áë³îìåòðè÷íèõ òà íàóêîìåòðè÷íèõ áàç äàíèõ: íàóêîâî¿ åëåêòðîííî¿ á³áë³îòåêè eLIBRARY.RU (Ðîñ³éñüêà Ôåäåðàö³ÿ); Index Copernicus (ICV 2013: 4,36; 2014: 52,23) (Ïîëüùà); INSPEC (Institution of Engineering and Technology, Âåëèêîáðèòàí³ÿ); CiteFactor; Academic Keys; Infobase Index; Google Scholar (á³áë³îìåòðè÷í³ ïîêàçíèêè – quot.=1766 / h = 11 / i10 = 17).