Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
COMBINED SYSTEMS OF PATTERNS RECOGNITION IN MONITORING OF TEMPERATURE’S SPATIAL DISTRIBUTION FOR COKE PIE
Abstract:
Considered the question of combined systems of patterns recognition in spatial distribution monitoring of temperature for coke pie. The proposed technical solutions allow implementation of information system for monitoring of the spatial distribution of temperature and increasing manufacturing quality for coke.
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References

1. ZakhozhayO.I. andShevtcovaA.S. Іnformacіjnamodel' sistemineprjamogoanalіzustanukoksovoї pechі zasobamikomp‘juternogozoru [Information Model of the Coke furnace Condition Indirect Analysis System by Computer Vision],(2010), ZbіrnikNaukovikhPprats' Donbas'kogoDerzhavnogoTekhnіchnogoUnіversitetuPubl., Alchevsk,Ukraine, No.30, pp.184–188 (InUkrainian).

2. Suhorukov V.I. Nauchnye osnovy sovershenstvovaniya tekhniki i tekhnologii proizvodstva koksa [Scientific Bases of Improvement of Equipment and Coke Production],(1999), Moscow, Russian Federation, Neft'gaz, 455 p. (In Russian).

3. Sugiura M.a , Nakagawa T.a, Arima,T.a, Kato K.b, Sakaida M.c, Morizane Y.c, Sano A.d ,and Irie K.e. Quantitative Influence of Coke Oven Wall Irregularity on Pushing Force, (2013),Japan,Vol. 53, Iss. 4, pp. 583– 589 (In English). ISSN: 09151559 CODEN: IINTESource Type: Journal Original language: English,doi:10.2355/isijinternational. 53.583DocumentType: Article

4.  Sukhorukov V.I.  Coking theory: For-mation and Heating of Coke Cake and Pyrolysis of Gaseous Products, (2012), OAO Vostochnyi Nauchno-Issledovatel'skii Uglekhimskii Institut, Yekaterinburg, Russian Federation, Vol. 55, Iss. 3, March 2012, pp. 101– 106(In Russian). ISSN: 1068364XSource Type: Journal Original language: English, doi: 10.3103/S1068364 X12030064Document Type: Article,url : http://95.25.47.1/scimag3/10.3103/S1068364X12030064.pdf.

5. Harlampovich G.D., and Kaufman A.A. Tekhnologiya koksokhimicheskogo proizvodstva [Technology of Coke-chemical Production], (1995), Moscow, Russian Federation, Neft'-gaz, 384 p. (In Russian).

6. PatentCN 101070476B.Cokе–ovenHeating-temperatureIntelligentControlSystem.Liu Xiannan, WangZhancheng, ZhaoGuozhu.declarant Liu Xiannan; Declared 06.22.2007; Published 05.19.2010 (InEnglish).

7. ZakhozhayO.I.,andShevcovaA.S. Analіz stanu koksovoї pechі zasobami komp‘yuternogo zoru[The Coke Furnace Condition Analysis by Computer Vision],(2010),Trudi of 11-th International Scientific-practical Conference Modern Informational and Electronic “Technologies 2010OdessaNationalPolytechnicUniversity Publ.,Vol.1.,Odessa, Ukraine, pp. 34–36 (InUkrainian).

8. RyabenkiyV.M., andZakhozhayO.I. Kombіnovanі sistemi rozpіznavannya obrazіv [CombinedSystemsofPatternsRecognition],  Zhurnal Problemi Informatsіinikh Tekhnologіi Publ., Kherson, Ukraine, Kherson National Technical University,No.01(009), pp.156–160 (InUkrainian).

9. ZakhozhayO.I.,andPaerandYu.E. Osnovnі aspekti strukturnoї organіzatsії kombіnovanikh sistem rozpіznavannya obrazіv[Main Aspects of Structural Organization of the Combine Systems of Patterns Recognition],  (2012), Bulletin of the Kherson National Technical University Publ., Kherson, Ukraine, Oldі-Plyus, No.1(44), pp. 221–225 (InUkrainian).

10. ZakhozhayO.I. Selektsіya ratsіonal'noї sukupnostі іnformativnikh obrazіv v kombіnovanikh sistemakh rozpіznavannya [SelectionofRationalAggregateofInformativePatternsintheCombinedRecognitionSystems],(2013), Journal Electrotechnic and Computer Systems Publ., Kiev, Ukraine, No.09(85), pp.186–192 (InUkrainian).

11. ZakhozhayO.I., andDubovikV.S. Primeneniestrukturtsifrovykhfil'trovdlyavysokoskorostnoiobrabotkivideoizobrazhenii [Using of Digital Filters Structures for High–speed Video Processing],(2013), Sbornik  Scientific Works of Donbass State Technical Publ.,No.39, p.p. 263–268 (InRussian).

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