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DEVS Simulator Implementation in C++20
Šurina, Timotej ; Janoušek, Vladimír (referee) ; Peringer, Petr (advisor)
This master's thesis deals with the issue of modeling and simulation of systems based on the DEVS formalism. The result of this work is a library that is inspired by the adevs tool and based on the classical DEVS formalism. The library is implemented in the programming language C++20 and is supplemented by predefined models of components for creation of queueing systems. The library also contains a set of examples for use in teaching. In comparison with the paralel adevs tool it is less effective but it has simpler interface with focus on clarity, which is more important for teaching. The library also simplifies definition of models with the use of modules, intelligent pointers for memory management and the use of mentioned components.
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Anomaly Detection in Generated Incident Ticket Volumes
Šurina, Timotej ; Rychlý, Marek (referee) ; Trchalík, Roman (advisor)
Táto bakalárska práca sa zaoberá problematikou detekcie anomálií v časových radoch. Predstavuje metódy STL decomposition, ARIMA, Exponential Smoothing a LSTM Networks. Cieľom je pomocou týchto metód vytvoriť algoritmus, ktorý dokáže analyzovať trend v množstve generovaných záznamov o incidentoch a detekovať anomálie z trendu. Riešenie bolo vytvorené na základe dátovej sady poskytnutej firmou AT&T Global Network Services Czech Republic s.r.o. a implementované v programovacom jazyku Python.
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DEVS Simulator Implementation in C++20
Šurina, Timotej ; Janoušek, Vladimír (referee) ; Peringer, Petr (advisor)
This master's thesis deals with the issue of modeling and simulation of systems based on the DEVS formalism. The result of this work is a library that is inspired by the adevs tool and based on the classical DEVS formalism. The library is implemented in the programming language C++20 and is supplemented by predefined models of components for creation of queueing systems. The library also contains a set of examples for use in teaching. In comparison with the paralel adevs tool it is less effective but it has simpler interface with focus on clarity, which is more important for teaching. The library also simplifies definition of models with the use of modules, intelligent pointers for memory management and the use of mentioned components.
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Anomaly Detection in Generated Incident Ticket Volumes
Šurina, Timotej ; Rychlý, Marek (referee) ; Trchalík, Roman (advisor)
Táto bakalárska práca sa zaoberá problematikou detekcie anomálií v časových radoch. Predstavuje metódy STL decomposition, ARIMA, Exponential Smoothing a LSTM Networks. Cieľom je pomocou týchto metód vytvoriť algoritmus, ktorý dokáže analyzovať trend v množstve generovaných záznamov o incidentoch a detekovať anomálie z trendu. Riešenie bolo vytvorené na základe dátovej sady poskytnutej firmou AT&T Global Network Services Czech Republic s.r.o. a implementované v programovacom jazyku Python.
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