SVERTOKA, E. Zvýšení přesnosti lokalizace v průmyslových nositelných zařízeních pomocí LoRaWAN [online]. Brno: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. 2024.
As a basis for the award of the academic-scientific degree of doctor in the field of "Information Technology". 1. General characteristics of the dissertation The reviewed dissertation consists of a total of 124 pages, with 91 pages of text, including embedded images AND TABLES. At the beginning, it includes additional formal elements: Abstract and Keywords in both Czech and English, Table of Contents, List of Tables, and List of Symbols and Abbreviations. At the end of the work, there is a list of the author's cited contributions. The dissertation is very well and logically structured. The chapters follow each other and are balanced in its content. The dissertation is written at a high linguistic, professional, and formal level and is typeset with very high typographical quality using the Latex tool. The author has demonstrated a professional writing style with good didactic presentation of the subject matter. 2. Assessment of the focus of the dissertation topic and regular updates The doctoral thesis focuses on the very current issue of wearable devices and their integration into daily life within the framework of Industry 4.0. This is undoubtedly one of the current research trends. The solution to this issue has both scientific-technical and economic justification, as there remains a significant proportion of tasks where wearable technology can significantly enhance safety and work efficiency. The project was conducted in the frame of European Union’s Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018 call, under the Grant Agreement no 813278 A-WEAR. The key problem addressed is the methods of monitoring and ensuring worker safety using wearable devices, which the doctoral candidate tackles in the dissertation. The topic of the dissertation corresponds to the field of study. I consider the focus of the topic to be highly relevant in terms of the current development of information technologies, electronic communication systems, and the advancement of scientific knowledge. 3. Assessment of the contributions of the dissertation The thesis is well-balanced, containing elements of basic research but with a reach into practical applications and potential for a wide area. It precisely identifies areas where future research is essential and offers hints at solutions in that direction. The thesis includes all the required elements, namely a critical evaluation of the current state of the art in the area of wearable technology, a definition of the dissertation's objectives, a characterization of the chosen methods of resolution, and a summary of the current results, including references to relevant published and unpublished works by the doctoral student. The formal aspect of the work meets the required standards. 4. Assessment of the level of publication activity of the author of the dissertation The publication activity is at very good level and the results were published into many prestigious journals (for example: Computer Networks, Q1 IF:5.6; 2x Sensors Q2 IF:3.9; and IEEE Sensors Journal Q2 IF:4.3). Total number of citations is 502 (Google scholar), h-index 6 (Google Scholar), which is above average. 5. Comments and questions on the thesis Questions: 1) What are the main challenges in implementing wearable technology in industries, and how can they be overcome? 2) Can you explain benefits of using k-NN to complex architectures of deep neural networks? Conclusion In my opinion, the examined dissertation meets the quality expectations and I recommend the award of the Ph.D. degree.
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eVSKP id 161511