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

 

ISSN: 1814-4225 (Print), 2663-2012 (Online)

 

ÐÀIJÎÅËÅÊÒÐÎÍͲ ² ÊÎÌÏ’ÞÒÅÐͲ ÑÈÑÒÅÌÈ. – 2019. – ¹ 2 (90). – 158 ñ.

ÐÀÄÈÎÝËÅÊÒÐÎÍÍÛÅ È ÊÎÌÏÜÞÒÅÐÍÛÅ ÑÈÑÒÅÌÛ. – 2019. – ¹ 2 (90). – 158 ñ.

RADIOELECTRONIC AND COMPUTER SYSTEMS. – 2019. – ¹ 2 (90). – 158 p.

 

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English

Óêðà¿íñüêà ìîâà

Ðóññêèé ÿçûê

Äî 80-ð³÷÷ÿ ïðîôåñîðà Îëåêñ³ÿ Ïåòðîâè÷à Ñòàõîâà

Õàð÷åíêî Â. Ñ.

EDITOR'S NOTE. TO 80 ANNIVERSARY SELEBRATION OF PROFESSOR A. P. STAKHOV

Â²Ä ÐÅÄÀÊÒÎÐÀ: ÄÎ 80-в××ß ÏÐÎÔÅÑÎÐÀ ÎËÅÊÑ²ß ÏÅÒÐÎÂÈ×À ÑÒÀÕÎÂÀ

ÎÒ ÐÅÄÀÊÒÎÐÀ: Ê 80-ËÅÒÈÞ ÏÐÎÔÅÑÑÎÐÀ ÀËÅÊÑÅß ÏÅÒÐÎÂÈ×À ÑÒÀÕÎÂÀ

4-5

Ñòàõîâ À. Ï.

MY WAY TO GREAT SCIENCE

Ì²É ØËßÕ Ó ÂÅËÈÊÓ ÍÀÓÊÓ

ÌÎÉ ÏÓÒÜ Â ÁÎËÜØÓÞ ÍÀÓÊÓ

6–17

ʳáåðíåòè÷í³ ñèñòåìè

Äîöåíêî Ñ. ².

THE PRINCIPLE OF FUNCTIONAL SELF-ORGANIZATION OF ACTIVITY INTELLIGENT SYSTEMS

ÏÐÈÍÖÈÏ ÔÓÍÊÖ²ÎÍÀËÜÍί ÑÀÌÎÎÐÃÀͲÇÀÖ²¯ IJßËÜÍÎÑÒ² ²ÍÒÅËÅÊÒÓÀËÜÍÈÕ ÑÈÑÒÅÌ

ÏÐÈÍÖÈÏ ÔÓÍÊÖÈÎÍÀËÜÍÎÉ ÑÀÌÎÎÐÃÀÍÈÇÀÖÈÈ ÄÅßÒÅËÜÍÎÑÒÈ ÈÍÒÅËËÅÊÒÓÀËÜÍÛÕ ÑÈÑÒÅÌ

18–28

Äîöåíêî Ñ. ².,
²ëëÿøåíêî Î. Î.,
Êàìåíñüêèé Ñ. Ñ.,
Êóïðåéøâ³ë³ Ä. Ð.,
Õàð÷åíêî Â. Ñ.

ANALYSIS OF METHODOLOGICAL FOUNDATIONS OF ENTERPRISES’ INFORMATION-MANAGING SYSTEMS FORMATION IN INDUSTRY 3.0: MOVEMENT TOWARDS INDUSTRY 4.0

ÀÍÀË²Ç ÌÅÒÎÄÎËÎò×ÍÈÕ ÎÑÍΠÔÎÐÌÓÂÀÍÍß ²ÍÔÎÐÌÀÖ²ÉÍÎ-ÓÏÐÀÂËßÞ×ÈÕ ÑÈÑÒÅÌ Ï²ÄÏÐȪÌÑÒ  ²ÍÄÓÑÒв¯ 3.0: ÐÓÕ ÄÎ ²ÍÄÓÑÒв¯ 4.0

ÀÍÀËÈÇ ÌÅÒÎÄÎËÎÃÈ×ÅÑÊÈÕ ÎÑÍΠÔÎÐÌÈÐÎÂÀÍÈß ÈÍÔÎÐÌÀÖÈÎÍÍÎ-ÓÏÐÀÂËßÞÙÈÕ ÑÈÑÒÅÌ ÏÐÅÄÏÐÈßÒÈÉ Â ÈÍÄÓÑÒÐÈÈ 3.0: ÄÂÈÆÅÍÈÅ Ê ÈÍÄÓÑÒÐÈÈ 4.0

29–44

Ìåòîäè ³ çàñîáè îáðîáêè çîáðàæåíü

Âàñèëüåâà È. Ê.,
Ëóêèí Â. Â.

INVESTIGATION OF THE EFFICIENCY OF THE POST-CLASSIFICATION TECHNIQUES FOR NOISY MULTI-CHANNEL IMAGES

ÄÎÑ˲ÄÆÅÍÍß ÅÔÅÊÒÈÂÍÎÑÒ² ÌÅÒÎIJ ÏÎÑÒ-ÊËÀÑÈÔ²ÊÀÖ²ÉÍί ÎÁÐÎÁÊÈ ÇÀØÓÌËÅÍÈÕ ÁÀÃÀÒÎÊÀÍÀËÜÍÈÕ ÇÎÁÐÀÆÅÍÜ

ÈÑÑËÅÄÎÂÀÍÈÅ ÝÔÔÅÊÒÈÂÍÎÑÒÈ ÌÅÒÎÄÎÂ ÏÎÑÒ-ÊËÀÑÑÈÔÈÊÀÖÈÎÍÍÎÉ ÎÁÐÀÁÎÒÊÈ ÇÀØÓÌËÅÍÍÛÕ ÌÍÎÃÎÊÀÍÀËÜÍÛÕ ÈÇÎÁÐÀÆÅÍÈÉ

45–59

Öåõìèñòðî Ð. Â.,
Àáðàìîâà Â. Â.,
Ðóáåëü À. Ñ.,
Óññ Ì. Ë.,
Ïðîñêóðà Ã. À.,
Ðóáåëü Î. Ñ.

NOISE CHARACTERISTICS ESTIMATION IN REAL-WORLD IMAGES USING CONVOLUTIONAL NEURAL NETWORK IN MOBILE PLATFORM

ÎÖ²ÍÊÀ ÕÀÐÀÊÒÅÐÈÑÒÈÊ ØÓÌÓ ÍÀ ÐÅÀËÜÍÈÕ ÇÎÁÐÀÆÅÍÍßÕ Ç ÂÈÊÎÐÈÑÒÀÍÍßÌ ÇÃÎÐÒÊÎÂί ÍÅÉÐÎÍÍί ÌÅÐÅƲ ÍÀ ÌÎÁ²ËÜÍ²É ÏËÀÒÔÎÐ̲

ÎÖÅÍÊÀ ÕÀÐÀÊÒÅÐÈÑÒÈÊ ØÓÌÀ ÍÀ ÐÅÀËÜÍÛÕ ÈÇÎÁÐÀÆÅÍÈßÕ Ñ ÈÑÏÎËÜÇÎÂÀÍÈÅÌ ÑÂÅÐÒÎ×ÍÎÉ ÍÅÉÐÎÍÍÎÉ ÑÅÒÈ ÍÀ ÌÎÁÈËÜÍÎÉ ÏËÀÒÔÎÐÌÅ

60–70

Íàóìåíêî Â. Â.,
Ðóáåëü Î. Ñ.,
Òîöüêèé Î. Â.,
Øàðîíîâ Â. Á.

SIGNAL SHAPE RECOVER BY BISPECTRUM IN NOISE ENVIRONMENT

²ÄÒÂÎÐÅÍÍß ÑÈÃÍÀ˲ ÒÀ ÇÎÁÐÀÆÅÍÜ ÇÀ Á²ÑÏÅÊÒÐÎÌ Ó ÏÐÈÑÓÒÍÎÑÒ² ØÓ̲Â

ÂÎÑÑÒÀÍÎÂËÅÍÈÅ ÔÎÐÌÛ ÑÈÃÍÀËÀ ÏÎ ÁÈÑÏÅÊÒÐÓ Â ÏÐÈÑÓÒÑÒÂÈÈ ØÓÌÎÂ

71–79

Ðàä³îåëåêòðîíí³ ñèñòåìè

Åãîðîâ À. Ä.,
Åãîðîâ Â. À.,
Åãîðîâ Ñ. À.,
Ñèíåëüíèêîâ È. Å.,
Áàáàêîâ Ì. Ô.

MULTISENSOR LINEAR CCD CAMERA FOR SPECTROMETRY

ÌÓËÜÒÈÑÅÍÑÎÐÍÀ ÊÀÌÅÐÀ ÄËß ÑÏÅÊÒÐÀËÜÍÈÕ ÂÈ̲ÐÞÂÀÍÜ ÍÀ ÏÐÈËÀÄÀÕ Ç ÇÀÐßÄÎÂÈÌ ÇÂ’ßÇÊÎÌ Ë²Í²ÉÍί ÑÒÐÓÊÒÓÐÈ

ÌÓËÜÒÈÑÅÍÑÎÐÍÀß ÊÀÌÅÐÀ ÄËß ÑÏÅÊÒÐÀËÜÍÛÕ ÈÇÌÅÐÅÍÈÉ ÍÀ ÏÐÈÁÎÐÀÕ Ñ ÇÀÐßÄÎÂÎÉ ÑÂßÇÜÞ ËÈÍÅÉÍÎÉ ÑÒÐÓÊÒÓÐÛ

80–88

Äàê³ Î. À.

SYNTHESIS METHODS OF MEASURING SIGNALS WITH NORMAL SPECTRUM

ÌÅÒÎÄÈ ÑÈÍÒÅÇÓ ÂÈ̲ÐÞÂÀËÜÍÈÕ ÑÈÃÍÀË²Â Ç ÍÎÐÌÎÂÀÍÈÌ ÑÏÅÊÒÐÎÌ

ÌÅÒÎÄÛ ÑÈÍÒÅÇÀ ÈÇÌÅÐÈÒÅËÜÍÛÕ ÑÈÃÍÀËÎÂ Ñ ÍÎÐÌÈÐÎÂÀÍÍÛÌ ÑÏÅÊÒÐÎÌ

89–98

Ëèòîâ÷åíêî Ë. Â.,
Êîëåñíèê Â. Ï.,
×óãàé Î. Ì.,
Áîÿðê³í À. Î.,
Ñëþñàð Ä. Â.,
Ñòåïàíóøê³í Ì. Ï.,
Îë³éíèê Ñ. Â.

FEATURES OF CONSTRUCTION OF POWER SUPPLY SYSTEM OF THE INVERSE MAGNETRON SPUTTERING SYSTEMS FOR THE FORMATION OF MULTICOMPONENT COATINGS (CONTROL METHOD OF DISTRIBUTION PROCESS AND ITS PRACTICAL REALIZATION)

ÎÑÎÁËÈÂÎÑÒ² ÏÎÁÓÄÎÂÈ ÑÈÑÒÅÌÈ ÅËÅÊÒÐÎÆÈÂËÅÍÍß ²ÍÂÅÐÑÍί ÌÀÃÍÅÒÐÎÍÍί ÐÎÇÏÎÐÎØÓÂÀËÜÍί ÑÈÑÒÅÌÈ ÄËß ÔÎÐÌÓÂÀÍÍß ÁÀÃÀÒÎÊÎÌÏÎÍÅÍÒÍÈÕ ÏÎÊÐÈÒҲ (ÑÏÎѲÁ ÓÏÐÀÂ˲ÍÍß ÏÐÎÖÅÑÎÌ ÐÎÇÏÎÐÎØÅÍÍß ÒÀ ÉÎÃÎ ÏÐÀÊÒÈ×ÍÀ ÐÅÀ˲ÇÀÖ²ß)

ÎÑÎÁÅÍÍÎÑÒÈ ÏÎÑÒÐÎÅÍÈß ÑÈÑÒÅÌÛ ÝËÅÊÒÐÎÏÈÒÀÍÈß ÈÍÂÅÐÑÍÎÉ ÌÀÃÍÅÒÐÎÍÍÎÉ ÐÀÑÏÛËßÞÙÅÉ ÑÈÑÒÅÌÛ ÄËß ÔÎÐÌÈÐÎÂÀÍÈß ÌÍÎÃÎÊÎÌÏÎÍÅÍÒÍÛÕ ÏÎÊÐÛÒÈÉ (ÑÏÎÑÎÁ ÓÏÐÀÂËÅÍÈß ÏÐÎÖÅÑÑÎÌ ÐÀÑÏÛËÅÍÈß È ÅÃÎ ÏÐÀÊÒÈ×ÅÑÊÀß ÐÅÀËÈÇÀÖÈß)

99–107

²íòåëåêòóàëüí³ ñèñòåìè êåðóâàííÿ òà ä³àãíîñòóâàííÿ

Ìîñêàëåíêî Â. Â.,
Çàðåöüêèé Ì. Î.,
Ìîñêàëåíêî À. Ñ.

MODEL AND TRAINING METHOD OF MOVING OBJECT CLASSIFICATION SYSTEM FOR A COMPACT DRONE

ÌÎÄÅËÜ ÒÀ ÌÅÒÎÄ ÍÀÂ×ÀÍÍß ÑÈÑÒÅÌÈ ÊËÀÑÈÔ²ÊÀÖ²¯ ÐÓÕÎÌÈÕ ÎÁ’ªÊҲ ÄËß ÌÀËÎÃÀÁÀÐÈÒÍÎÃÎ ÁÅÇϲËÎÒÍÎÃÎ ÀÏÀÐÀÒÓ

ÌÎÄÅËÜ È ÌÅÒÎÄ ÎÁÓ×ÅÍÈß ÑÈÑÒÅÌÛ ÊËÀÑÑÈÔÈÊÀÖÈÈ ÏÎÄÂÈÆÍÛÕ ÎÁÚÅÊÒΠÄËß ÌÀËÎÃÀÁÀÐÈÒÍÛÕ ÁÅÑÏÈËÎÒÍÛÕ ÀÏÏÀÐÀÒÎÂ

108–117

Âàðòàíÿí Â. Ì.,
Øòåéíáðåõåð Ä. Î.

APPLICATION OF THE HIERARCHY ANALYSIS TECHNIQUE FOR THE DESIGN OF HIGH-TECHNOLOGICAL PROJECTS KNOWLEDGE MANAGEMENT STRATEGY

ÇÀÑÒÎÑÓÂÀÍÍß ÌÅÒÎÄÓ ÀÍÀ˲ÇÓ ²ªÐÀÐÕ²É ÄËß ÏÎÁÓÄÎÂÈ ÑÒÐÀÒÅò¯ ÓÏÐÀÂ˲ÍÍß ÇÍÀÍÍßÌÈ ÂÈÑÎÊÎÒÅÕÍÎËÎò×ÍÈÕ ÏÐÎÅÊÒ²Â

ÏÐÈÌÅÍÅÍÈÅ ÌÅÒÎÄÀ ÀÍÀËÈÇÀ ÈÅÐÀÐÕÈÉ ÄËß ÏÎÑÒÐÎÅÍÈß ÑÒÐÀÒÅÃÈÈ ÓÏÐÀÂËÅÍÈß ÇÍÀÍÈßÌÈ ÂÛÑÎÊÎÒÅÕÍÎËÎÃÈ×ÅÑÊÈÕ ÏÐÎÅÊÒÎÂ

118–126

Ãàâðèëåíêî Ñ. Þ.

THE INDICATORS’ SYSTEM SELECTION METHOD FOR THE COMPUTER SYSTEM STATUS IDENTIFICATION

ÌÅÒÎÄÈÊÀ ²ÄÁÎÐÓ ÑÈÑÒÅÌÈ ÏÎÊÀÇÍÈʲ ÄËß ²ÄÅÍÒÈÔ²ÊÀÖ²¯ ÑÒÀÍÓ ÊÎÌÏ’ÞÒÅÐÍί ÑÈÑÒÅÌÈ

ÌÅÒÎÄÈÊÀ ÎÒÁÎÐÀ ÑÈÑÒÅÌÛ ÏÎÊÀÇÀÒÅËÅÉ ÄËß ÈÄÅÍÒÈÔÈÊÀÖÈÈ ÑÎÑÒÎßÍÈß ÊÎÌÏÜÞÒÅÐÍÎÉ ÑÈÑÒÅÌÛ

127–136

Îãîðîäíèê ². Ì.,
Âèñîöüêà Î. Â.,
Êðóòîâ Î. Â.

OPTIMIZATION BY PERFORMANCE CRITERIA DIAGNOSTIC AND HEALTH COMPLEX "QUANTON"

ÎÏÒÈ̲ÇÀÖ²ß ÏÎ ÊÐÈÒÅÐ²Þ ÏÐÎÄÓÊÒÈÂÍÎÑÒ² IJÀÃÍÎÑÒÈ×ÍÎ-ÎÇÄÎÐÎÂ×ÎÃÎ ÊÎÌÏËÅÊÑÓ «QUANTON»

ÎÏÒÈÌÈÇÀÖÈß ÏÎ ÊÐÈÒÅÐÈßÌ ÏÐÎÈÇÂÎÄÈÒÅËÜÍÎÑÒÈ ÄÈÀÃÍÎÑÒÈ×ÅÑÊÎ - ÎÇÄÎÐÎÂÈÒÅËÜÍÎÃÎ ÊÎÌÏËÅÊÑÀ «QUANTON»

137–146

Ôåñåíêî Ã. Â.,
Õàð÷åíêî Â. Ñ.

RELIABILITY MODELS OF UAV FLEET GROUPS WITH K-OUT-OF-N REDUNDANCY FOR MONITORING OF POTENTIALLY DANGEROUS OBJECTS

ÌÎÄÅ˲ ÍÀIJÉÍÎÑÒ² ÓÃÐÓÏÎÂÀÍÜ ÔËÎҲ ÁÏËÀ Ç ÊÎÂÇÍÈÌ ÐÅÇÅÐÂÓÂÀÍÍßÌ ÄËß ÌÎͲÒÎÐÈÍÃÓ ÏÎÒÅÍÖ²ÉÍÎ ÍÅÁÅÇÏÅ×ÍÈÕ ÎÁ’ªÊÒ²Â

ÌÎÄÅËÈ ÍÀÄÅÆÍÎÑÒÈ ÃÐÓÏÏÈÐÎÂÎÊ ÔËÎÒÎÂ ÁÏËÀ ÑÎ ÑÊÎËÜÇßÙÈÌ ÐÅÇÅÐÂÈÐÎÂÀÍÈÅÌ ÄËß ÌÎÍÈÒÎÐÈÍÃÀ ÏÎÒÅÍÖÈÀËÜÍÎ ÎÏÀÑÍÛÕ ÎÁÚÅÊÒÎÂ

147–156

 

ÀËÔÀ²ÒÍÈÉ ÏÎÊÀÆ×ÈÊ

157

 

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 (Ïîëüùà); INSPEC (Institution of Engineering and Technology, Âåëèêîáðèòàí³ÿ); DOAJ; CiteFactor; Academic Keys; Infobase Index; Google Scholar.