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Home / Faculty of Information Security and Electronic Communications / Department “Radio engineering and telecommunications” / Morshchavka Sergey Volodymyrovych

Morshchavka Sergey Volodymyrovych

Morshchavka Sergey Volodymyrovych

Position

associate professor of the “Radio engineering and telecommunications” department

Academic degree

candidate of technical sciences

Academic title

docent

Education

higher

Zaporizhzhia 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; Basics of Web-design for information communications; Embedded systems and wireless sensor networks

Main languages ​​of communication

Ukrainian, Russian, English

Dissertations

  • 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:

  • recognition and data retrieval for processing information received by remote sensing

  • chemometrics

  • processing of hyperspectral images

Accounts of a scientist

Total scientific works: 40, including 1 patent, 1 monograph, 1 textbook.

Participation in conferences:

  • 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.

  • 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.

  • 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.

  • 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

  • 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

  • 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.

  • List of all conferences attended by year

The year of the start of activity at the university: 2001.

Основні наукові роботи

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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, - 124 p., - #0107U007106.

  9. 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.

  10. 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, str. 64 University Street

Classroom:

32-B

Phone:

+38 (061) 764-32-81

e-mail:

svmorsh@gmail.com
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