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Design of Net-Based Virtual Collaborative Musical Instrument
Liudkevich, Denis ; Kiska, Tomáš (referee) ; Kavan, Jan (advisor)
The aim of this work was to create an online platform for multi-user sound creation with original sound synthesis tools. The educational context of the application was also taken into account by hiding the controls of the sound parameters behind the subconsciously known physical phenomena and the game form of the application. A substantial part of the logic and all graphics of the instruments is written in the JavaScript programming language and its library p5.js. It is located on the client side and communicates with the Node.js-based server via a web socket. The audio part is on another server in the SuperCollider environment, it is transmitted via IceCast and communicates with the main OSC message server. The application contains 3 instruments for generating sounds and one effects module. Each instrument is designed for multiple users and requires their cooperation. Acceptable transmission speeds and minimum computational demands have been achieved by optimizing the instrument's internal algorithms, the way in which the graphic content is displayed and the appropriate routing of the individual sound modules. The sound is specific for each instrument. The instruments in the application are tuned and designed so that the user can both achieve interesting sound results himself and play his role as a whole with others. Methods such as granular synthesis, chaotic oscillators, string instrument modeling, filter combinations, and so on are used to generate sound. Great emphasis in the development of the application was placed on the separation of roles, simultaneous control of one instrument by several players and communication of users through playing the instruments and text expression - chat. An important part is also a block for displaying descriptive information.
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Collaborative Machine Learning in the Context of Network Security
Hejcman, Lukáš ; Uhříček, Daniel (referee) ; Žádník, Martin (advisor)
Metody strojového učení se již dlouhou dobu používají v oblastech monitorování a zabezpečení počítačových sítí kvůli jejich schopnosti analyzovat a klasifikovat velké množství dat. Pokrok v rychlosti a propustnosti počítačových sítí však ztěžuje vytváření a správu datových sad v distribuovaném prostředí kvůli jejich velikosti. Kromě toho, sdílení datových sad obsahujících zachycený síťový provoz uživatelů sítě představuje bezpečnostní problémy týkající se uživatelského soukromí. V této oblasti se tedy zkoumají metody kolaborativního strojového učení. Stávající řešení pro implementaci kolaborativního strojového učení jsou však buď nástroje pro ověření konceptu, nebo produkční nástroje a překlenutí této mezery se věnuje jen velmi málo pozornosti. Tato práce představuje nový nástroj pro kolaborativní strojové učení nazvaný FERDINAND, který tuto mezeru překlenuje tím, že se zaměřuje na průběžné aktualizace modelů, rozšiřitelnost a snadnou konfiguraci. Tento framework byl vyvinut v úzké spolupráci s výzkumným týmem sdružení CESNET zaměřeným na monitorování a bezpečnost sítí a je implementován jako produkční nástroj, který lze nasadit na backendovou infrastrukturu sdružení CESNET. Tato práce dále zkoumá životaschopnost použití rámce FERDINAND v kontextu monitorování sítě zkoumáním jeho aplikace na nejmodernější metody detekce škodlivých zařízení či detekci protokolu DNS přes HTTPS. Nakonec jsou prozkoumány budoucí směry vývoje nástroje.
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Design of Net-Based Virtual Collaborative Musical Instrument
Liudkevich, Denis ; Kiska, Tomáš (referee) ; Kavan, Jan (advisor)
The aim of this work was to create an online platform for multi-user sound creation with original sound synthesis tools. The educational context of the application was also taken into account by hiding the controls of the sound parameters behind the subconsciously known physical phenomena and the game form of the application. A substantial part of the logic and all graphics of the instruments is written in the JavaScript programming language and its library p5.js. It is located on the client side and communicates with the Node.js-based server via a web socket. The audio part is on another server in the SuperCollider environment, it is transmitted via IceCast and communicates with the main OSC message server. The application contains 3 instruments for generating sounds and one effects module. Each instrument is designed for multiple users and requires their cooperation. Acceptable transmission speeds and minimum computational demands have been achieved by optimizing the instrument's internal algorithms, the way in which the graphic content is displayed and the appropriate routing of the individual sound modules. The sound is specific for each instrument. The instruments in the application are tuned and designed so that the user can both achieve interesting sound results himself and play his role as a whole with others. Methods such as granular synthesis, chaotic oscillators, string instrument modeling, filter combinations, and so on are used to generate sound. Great emphasis in the development of the application was placed on the separation of roles, simultaneous control of one instrument by several players and communication of users through playing the instruments and text expression - chat. An important part is also a block for displaying descriptive information.
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