Fakulta elektrotechniky a informatiky / Faculty of Electrical Engineering and Informatics
Stálý URI pro tuto komunituhttps://hdl.handle.net/10195/3847
Práce obhájené před rokem 2008 jsou uloženy pouze v kolekci Vysokoškolské kvalifikační práce
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Konferenční objektpeer-reviewedpostprint Otevřený přístup Diagnostics support of musculoskeletal diseases using artificial neural network(IEEE (Institute of Electrical and Electronics Engineers), 2021) Novotný, Zdeněk; Mareš, Jan; Doležel, PetrA vestibular schwannoma is a benign tumor, developing in the inner ear. As it grows, it may affect patient's hearing and body balance. If not treated, it can also lead to death of the patient. Once it becomes a problem, it is surgically removed. During the surgery, there is a high risk that surrounding nerves become harmed (it causes problems with facial movement). This document discusses evaluation of such injury, based on a modern approach of classification using artificial neural network.Konferenční objektpeer-reviewedpostprint Otevřený přístup Development of Artificial Intelligence Based Module to Industrial Network Protection System(Springer Nature Switzerland AG, 2020) Holík, Filip; Doležel, Petr; Merta, Jan; Štursa, DominikThe paper deals with the software-defined networking concept applied to industrial networks. This innovative concept supports network programmability and dynamic implementation of customized features, including security related ones. In a previous work of the authors, the industrial network protection system (INPS) was designed and implemented. The INPS provides complex security features of various traditional and modern security solutions within a single system. In this paper, the AI module, which is one of the crucial parts of the INPS, is dealt with. In particular, a detailed report focused on the development of the AI module decision function is provided. As a result, an artificial neural network, used for the network traffic evaluation in the AI module, is developed and comprehensively tested.Konferenční objektpeer-reviewedpostprint Omezený přístup Neural Network for Smart Adjustment of Industrial Camera - Study of Deployed Application(Springer, 2018) Doležel, Petr; Honc, DanielSince machine vision is gaining more and more interest lately, it is necessary to deal with correct approaches to visual data acquisition in industry. As a particular part of this complex problematics, a technique for the industrial camera exposure time and image sensor gain tuning is presented in this contribution. In comparison to other approaches, a human expert photographer is used instead of explicitly defined cost function. His knowledge is transformed into an artificial expert system represented by a feedforward neural network. The expert system then provides the suitable exposure time and image sensor gain to gather sharp and balanced images.Konferenční objektpeer-reviewedpostprint Omezený přístup European Starling Detection in Agricultural Areas Using Multilayer Artificial Neural Network(IEEE (Institute of Electrical and Electronics Engineers), 2015) Doležel Petr; Rozsíval Pavel; Mariška MartinThe use of neural network clasifier to recognize a pest bird in agricultural areas is presented in this contribution. Firstly, the idea of comprehensive system of protection against pest birds is outlined. Then, the method of detection is described, the process of neural network design is illustrated and, in the end, the neural network is validated using data gathered in fields.