Serhii Volodymyrovych Morshchavka
Position
associate professor of the «Radio engineering and telecommunications» department
Academic degree
candidate of technical sciences
Academic title
associate professor
Education
higher
- Zaporizhia State Technical University, radio engineering, 1994, diploma with honors, diploma specialty «Radio engineering»
Subjects taught
- Methodology of scientific research;
- Global information infrastructure;
- Programming of network services;
- Biomedical signals, signal processing;
- Machine learning and artificial intelligence;
- Fundamentals of Web design for information communications;
- Embedded systems and wireless sensor networks
Main languages of communication
Ukrainian, Russian, English
Dissertations
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Candidate's thesis in the specialty - 05.12.17 «Radio engineering and television systems»: «Radio-electronic system for recognition of plant objects», year of defense - 2005, Kharkiv National University of Radio Electronics
Scientific interests:
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recognition and data retrieval for processing information received by remote sensing
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chemometrics
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processing of hyperspectral images
Total scientific works: 40, including 1 patent, 1 monograph, 1 textbook.
Participation in conferences:
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V. Dubrovin, S. Subbotin, S. Morshchavka, D. Piza. The plant recognition on remote sensing result by the feed-forward neural networks., Smart Engineering Systems Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining, and Complex Systems, ANNIE 2000:the 10-th Anniversary edition / ed. C. H. Dagli et al.- vol.10.- Missouri-Rolla:ASME Press.- 2000.- P. 697-701.
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Pisa D.M., Morschavka S.V. Algorithm for the classification of plant objects with the possibility of rapid adaptation // Proceedings of the 5th All-Ukrainian International Conference on Signal and Image Processing and Pattern Recognition UKROBRAZ'2000.- K: UAOIRO.- 2000.- P.279-282.
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Pisa D.M., Morschavka S.V. Algorithm for the classification of plant objects with the possibility of rapid adaptation // Proceedings of the 5th All-Ukrainian International Conference on Signal and Image Processing and Pattern Recognition UKROBRAZ'2000.- K: UAOIRO.- 2000.- P.279-282.
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Morshchavka S., Scholten U. SkyRadar – Virtual Lab on Radars and Air Traffic Management // Proceedings of the International Symposium on Embedded Systems and Trends in Teaching Engineering (ISBN 978-80-558-1040-9), Constantine Philosopher University,Nitra, 2016, pages:207-212
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G. Tabunshchyk, A. Parkhomenko, S. Morshchavka and D. Luengo, "Engineering education for HealthCare purposes: A Ukrainian perspective," 2018 XIV-th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH), Lviv, 2018, pp. 245-249. doi: 10.1109/MEMSTECH.2018.8365743
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Morshchavka S.V., Chudesnova O.E. Analysis of data transmission by Li-Fi technology in different conditions of light propagation // Science Week-2019: Abstracts of the reports of the scientific and practical conference, Zaporizhzhia, April 15–19, 2019 [Electronic resource] / Redcol. :IN. V. Naumyk (corresponding editor) Electron. data. – Zaporizhzhia: ZNTU, 2019. – 1 electronic. wholesale disc (DVD-ROM); 12 cm. – Title from tit. screen.- C.25-26.- ISBN 978-617-529-223-5.
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List of all conferences attended by year
The year of the start of activity at the university: 2001.
Main scientific works
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Pisa D.M., Morschavka S.V. Increasing the probability of recognizing plant objects due to the increase in the resolving power of lidars // Cybernetics and computing technology. - 1999. - Issue 117.- P. 14 – 17.
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Pyza D.M., Morschavka S.V., Skorobogatov Yu.V. Selection of an effective method of plant recognition based on spectral brightness coefficients // Radioelectronics, computer science, management. – 1999. - #1. - P.85-88.
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Piza D.M., Morshchavka S.V., Selection of Spectral Bands for Recognizing Plant Species by Reflection Characteristics in the Optical Region //Telecommunication and Radio engineering.-1998.-Vol 52.Issue 10 - p.83-86.
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Pyza D.M., Morschavka S.V. The selection of spectral intervals for the recognition of plant species based on the characteristics of the reflection of the optical range // Radiotechnique.- 1999.- Issue. 109.- P.125-130.
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Neural Network Method in Plant Spectral Recognition / V.Dubrovin, S.Subbotin, S.Morshchavka, and D.Piza // From Laboratory Spectroscopy to Remotely Sensed spectra of Terrestrial Ecosystem / Edited by Ranjan S.Muttiah.- Netherlands: Kluwer Academic Publishers, 2002.- P.147-160.
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V. Dubrovin, S. Subbotin, S. Morshchavka, D. Piza. The plant recognition on remote sensing result by the feed-forward neural networks // Smart Engineering Systems Design.- 2001. - v.3. - P.251-256.
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Pisa D.M., Morschavka S.V. Algorithm for the classification of plant objects with the possibility of rapid adaptation // Proceedings of the 5th All-Ukrainian International Conference on Signal and Image Processing and Pattern Recognition UKROBRAZ'2000.- K: UAOIRO.- 2000.- P.279-282.
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Piza D.M., Morshchavka S.V. "Information Technology of Tilled Crops Cultivation with Usage of Methods of Plant Recognition": report on scientific research: 68-35/ International project of the Ukrainian-Egyptian cooperation in the science and technology. – Zaporizhzhya, 2008, - 124p., - №0107U007106.
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Pisa D.M. Information technology for processing row crops. Radiometric aspects / D.M. Pisa, S.V. Morshchavka, E.L. Bilousov. //Radioelectronics. Informatics. Management. - 2009. - No. 2, pp. 45-52.
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Pisa D.M. Evaluation of the effectiveness of discrete algorithms for adaptation of weight coefficients in spatial-temporal processing of radar signals [Text] /D.M.Pyza, D.S.Semenov, S.V.Morshchavka // Izvestiya vysshikh uchebnykh zavedeni. Radio electronics.-2019. No. 1-S. 8-15.
Contacts
Address:
69063, Ukraine, Zaporizhzhia, st. 64 University Street
Classroom:
32-B
Phone:
e-mail:
