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Evaluation of driving speed influence on parameters of driver behavioural model
Vašička, Martin ; Mihálik, Ondrej (referee) ; Jirgl, Miroslav (advisor)
The thesis describes the changes in the driver behaviour model when the desired speed is changed during the measurement. The thesis first introduces the issues of driver modeling and human-machine systems (MMS). It lightly discusses McRuer models and describes the driving simulator. The thesis focuses on the design of the model structure for the measured step-change responses measured on the driving simulator and the evaluation of the data in terms of the quality of the control. A script in Matlab and its extension System Identification Toolbox is used to identify the different parameters to build the driver models. The paper concludes by showing the resulting differences between the driver behaviour at different measurement speeds.
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Implementation of Communication Technology complying IEC 61850 as the Demonstrational DCS System
Kozák, Ondřej ; Arm, Jakub (referee) ; Fiedler, Petr (advisor)
This thesis deals with the issue of communication of protection by IEC 61850 standard and reading, control and visualization of protections by DCS systém 800xA and PLC AC500 from ABB and extended visualization by cloud service Grafana. The IEC 61850 standard, its protocols anad the topologies used have been descibed in this work. Furthermore, the basic functions of the instruments used were described. The main part describes the procedure of creating SCD file for communication configuration and subsequent uploading to individual systems, creating visualization in DCS 800xA system, setting up communication between protection devices and reading from them using AC 500 PLC. For the cloud service there is a description of the implementation of the MQTT broker for sending data between PLC and database Influxdb that stores the data and forwards it to Grafana visualization environment.
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Analysis of Pilot's Behaviour Models During Flight
Jirgl, Miroslav ; Štefek, Alexandr (referee) ; Blecha, Petr (referee) ; Bradáč, Zdeněk (advisor)
This thesis deals with human – pilot behaviour modelling during a flight in terms of automatic control systems. For these purposes, the introduction to the issue of description and modelling of individual components of the whole pilot – aircraft interaction is presented. Based on that, the simulation models obtained from real measured data are designed. However, the acquisition of the real flight data is quite difficult. Therefore, the flight simulator at Brno University of Defence is used for the purposes of this work. Several experimental measurements were taken using this simulator. These were focused on measuring pilot’s reactions (responses) to visual stimulus with emphasis on obtaining judgements about their current state of training (in terms of dynamic behaviour) as well as attitude to aircraft control. In this phase, two sets of measurements with eight pilots were taken. On average, the pilots had 60 flight hours before the first set of measurements and about 80 flight hours before the second set. The obtained results are analysed using mainly the theory of automatic control approaches in order to evaluate the actual state of pilots’ abilities considering the effects of flight training.
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IEC 61850 industrial communication simulator
Srp, Jakub ; Pospíšil, Ondřej (referee) ; Blažek, Petr (advisor)
This thesis is focused on IEC 61850 communication protocols SMV, GOOSE and MMS and their implementation in SCADA systems. There is a simulator, run on Raspberry Pi, that generates data according to IEC 61850 and transmits the data using protocols in question. The simulation consist of various virtual devices e.g. surge protection, undervoltage protection, circuit breaker, disconnector, HMI. The MMS protocol is used for station control. Simulation can be user-defined from textual configuration file.
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Drivers in PLC TC700/Foxtrot for feeder protection REF630/REF615
Till, Přemysl ; Bradáč, Zdeněk (referee) ; Štohl, Radek (advisor)
This thesis deals with communication within industrial systems, specifically using standard IEC 61850. The theoretical part contains a list of useful resources detailing IEC 61850 and a brief summary of the data model and model of vertical communication defined by the standard. In the practical part, a library for vertical communication between a Tecomat Foxtrot or TC700 PLC and an IEC 61850 conforming device was designed and created. It provides function blocks for establishing a communication channel, reading and writing data using the standard. Its functionality was tested using a feeder protection and control REF630 from ABB.
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Vulnerabilities assessment for industrial protocols
Zahradník, Jiří ; Fujdiak, Radek (referee) ; Blažek, Petr (advisor)
Thesis deals with testing of selected vulnerabilities from the IEC 61850 standard and following design of mitigation measures for selected vulnerabilities. Author simulated vulnerabilities of the GOOSE protocol, NTP attack and attack ona MMS client. Those attacks were GOOSE stNum, GOOSE semantic, GOOSE test bit,GOOSE replay, GOOSE flood, NTP spoofing and MMS password capture. Attacks on protocols GOOSE and MMS were successful, attack on NTP was only partially successful since the device confirmed receiving spoofed time, however it did not change it’s inner clock. Author then designed possible mitigation measures. Tool for automatic testing of selected vulnerabilities, parser for the GOOSE protocol and lightweight multiplatform parser for configuration files were created as well.The outcome of this thesis allows the implementation of lager scale tool for penetration testing of industrial networks as well as it allows implementation of discussed mitigation measures.
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Use of some molecular techniques to metabolic characterization of industrially significant yeasts
Kostovová, Iveta ; Brázda, Václav (referee) ; Kráčmar, Stanislav (referee) ; Márová, Ivana (advisor)
Karotenoidy, ergosterol a mastné kyseliny jsou velmi žádané látky využívané v krmivářském, potravinářském a kosmetickém průmyslu. Konvenční zdroje mastných kyselin a karotenoidů jsou závislé na sezónních podmínkách, geografické poloze a na dostupnosti zemědělské půdy, což znesnadňuje pokrýt jejich neustále se zvyšující spotřebu. Velmi slibným řešením je mikrobiální produkce výše uvedených látek pomocí karotenogenních kvasinek, které jsou schopny simultánně produkovat karotenoidy, mastné kyseliny i ergosterol. Předložená disertační práce je zaměřená na molekulární a metabolickou charakterizaci karotenogenních kvasinek a na jejich potenciál pro průmyslové aplikace. Proto první experimentální části práce jsou zaměřeny na kvasinky druhu R. mucilaginosa a R. toruloides, jejich produkční vlastnosti, vliv nutričního stresu a různých zdrojů uhlíku, jakými byly xylóza a glycerol. Kromě podrobné charakterizace jejich produkčních vlastností, byly tyto kmeny také charakterizovány molekulárními metodami, zahrnující sekvenční analýzu ITS1, ITS2 a D1/2 ribozomálního operonu a analýzu mini a mikrosatelitních sekvencí M13 a GTG5. Druh R. toruloides je známý jako vynikající producent mastných kyselin, a proto se v poslední době stal cílovou karotenogenní kvasinkou pro vývoj nástrojů pro jeho genetickou manipulaci. V této práci byly úspěšně připraveny geneticky modifikované klony kmene R. toruloides, nesoucí nadměrně exprimované geny pro diacylglycerol acyltransferázu (DGA1) a glycerol-3-fosfát dehydrogenázu (GPD1). Produkce mastných kyselin u modifikovaných klonů nebyla ve srovnání s původním kmenem vyšší. Proto byla další část práce zaměřená na přípravu nadprodukčních mutantních kmenů připravených náhodnou mutagenezí. Kombinace limitace dusíkem a inhibice produkce karotenoidů vedla k úspěšné selekci robustních mutantních kmenů s nadprodukcí karotenoidů vykazující rezistenci vůči difenylaminu. Poslední část práce se zabývá produkčními vlastnostmi méně známých druhů karotenogenních kvasinek náležící do řádů Sporidiobolales a Cystofilobasidales, ve srovnání s relativně dobře prostudovanými karotenogenními druhy R. toruloides a P.rhodozyma. V této studii byly nejlešími producenty mastných kyselin kmeny S.metaroseus CCY 19-6-20 a C. macerans CCY 10-01-02. Nejlepší producent karotenoidů, kmen R. mucilaginosa CCY 19-04-06, navíc produkoval lykopen, který představoval více než 80 % celkového množství karotenoidů produkovaných tímto kmenem.
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Energy protocol recognition using artificial intelligence
Racka, Jan ; Holasová, Eva (referee) ; Bohačík, Antonín (advisor)
The master's thesis focuses on classification of secure network traffic of energy protocols using convolutional neural network. The theoretical part discusses the issues of neural networks and their use in network traffic classification. In addition, the energy protocols Modbus, IEC 104, TASE.2, DNP3, GOOSE, SMV, MMS, and the standard DLMS/COSEM are analyzed, including their security. In the subsequent practical part, a convolutional neural network is implemented to recognize the mentioned protocols in their secured versions. Unsecured traffic records from publicly available repositories and from traffic simulators of the mentioned protocols, and captured data in an energy polygon were used to train the neural network. TLS and GOOSE convertotrs were developed to obtain secured traffic, which ensured that the protocols using same security mechanisms were secured uniformly. The resulting secured traffic was preprocessed into a two-dimensional format and was presented as input to the neural network for learning. The input image was created from the application parts of packets of the energy protocol session and formatted to the 28 × 28 byte image. The resulting network accuracy on the test data was 95,75 %. Furthermore, the network was tested on real traffic in an energy polygon, where it correctly recognized several protocols. A classifier for the operational state of a station that communicates using IEC 104 secured with TLS was developed as part of a partial objective of the thesis. The task of the classifier was to recognize, using encrypted messages, the state of the tested station. The classifier consisted of a convolutional neural network, which were usinga two-dimensional image consisting of information from a sequence of five consecutive packets as input. The information consisted of the interarrival time between packets, the length of the TLS encrypted application data, and the encrypted application data up to size 64 B. To obtain enough data to train the convolutional network, a simulator of characteristic messages for each state was developed. The classifier showed an accuracy of 43,05 % on the test data after the learning phase. Next, the classifier underwent testing on the test stations, where it was able to distinguish normal state of the state from events, but could not distinguish certain events of similar nature from each other.
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