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Bachelor's Thesis
Author of thesis: Vojtěch Vičar
Acad. year: 2025/2026
Supervisor: Ing. David Grenar, Ph.D.
Reviewer: doc. Mgr. Karel Slavíček, Ph.D.
This bachelor's thesis deals with the analysis, processing, and classification of optical signals propagated through a single-mode polarization-maintaining fiber (PMF) under the influence of various physical factors, primarily temperature changes, mechanical tension, and deformation. The objective of the work is the development of a comprehensive data pipeline in the Python language for automated loading, cleaning, processing, event onset detection, classification, and subsequent evaluation of measured data. Experimental data were obtained from a real optical path consisting of a coherent light source, a ransmission fiber, and a photodetection unit. Based on the developed algorithms, key signal parameters were derived from each measurement, enabling an exact comparison of optical power dynamics during physical changes. The analysis results show that temperature measurements exhibit a gradual and stable course, whereas mechanical tension measurements are characterized by high dynamics and steepness of changes. The resulting system is integrated into a user-friendly desktop application, which allows the operator to run the analysis and automatically generate final PDF measurement protocols.
Light polarization, optical fiber, polarization-maintaining fiber (PMF), Panda fiber, temperature measurement, optical path, photodetector, data analysis, Python, Pandas library, measurement data classification, feature extraction, Random Forest, sliding window, graphical user interface.
Date of defence
16.06.2026
Result of the defence
Defended (thesis was successfully defended)
Grading
B
Process of defence
Student prezentoval výsledky své práce a komise byla seznámena s posudky. Student obhájil bakalářskou práci a odpověděl na otázky členů komise a oponenta Otázky oponenta a komise: Na jakém hardware a operačním systému byly získány výsledky prezentované v bakalářské práci? Jsou použité metody a knihovny vhodné pro implementaci na jednodeskových počítačích, např. typu Raspberry Pi? Jsou použité metody a knihovny vhodné pro implementaci na jednodeskových počítačích, např. typu Raspberry Pi? Které Stokesovy vektory by jste využili na klasifikaci polarizace? Je nutné použivat Random Forest při klasifikaci? Nepostačilo by obyčejné prahování hodnoty?
Language of thesis
Czech
Faculty
Fakulta elektrotechniky a komunikačních technologií
Department
Department of Telecommunications
Study programme
Telecommunication and Information Systems (BPC-TLI)
Composition of Committee
doc. Ing. Petr Mlýnek, Ph.D. (předseda) doc. Ing. Tomáš Horváth, Ph.D. (místopředseda) Ing. Radek Hartman, MBA (člen) Ing. Jiří Přinosil, Ph.D. (člen) Jakub Lešinský (člen) Ing. Miroslav Balík, Ph.D. (člen) Ing. Šimon Skvaril (člen)
Supervisor’s reportIng. David Grenar, Ph.D.
Grade proposed by supervisor: A
Reviewer’s reportdoc. Mgr. Karel Slavíček, Ph.D.
Grade proposed by reviewer: A
Responsibility: Mgr. et Mgr. Hana Odstrčilová