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The Use of ADS-B Information for Airborne Separation and Collision Avoidance
Jošth Adamová, Eva ; Jonák, Jaroslav (referee) ; Novák, Andrej (referee) ; Vosecký, Slavomír (advisor)
Otázka bezpečnosti všeobecného letectva bola vždy problematická. Nedostatok harmonizovaných technických noriem týkajúcich sa výkonu zariadení umožňujúcich lietadlám všeobecného letectva vidieť a byť videný, sa stal hlavnou prekážkou k ich rozšírenému používaniu v Európe. Rastúca komplexita a hustota leteckej dopravy, a skutočnosť, že sa vzdušný priestor s príchodom nových užívateľov (napr. systémov bezpilotných lietadiel, ktoré zaznamenávajú v posledných rokoch rastúci trend) stále viac naplňuje, zdôrazňujú dôležitosť a potrebu zmeny. Cieľom tejto dizertačnej práce bolo rozpracovať možnosti zlepšenia prevádzkovej bezpečnosti všeobecného letectva v neriadenom vzdušnom priestore, s prihliadnutím na značné výzvy spojené so zavádzaním bezpilotných lietadiel do vzdušného priestoru. S celkovým rámcom ATM prispôsobujúcim sa týmto novým užívateľom vzdušného priestoru, sa ADS-B technológia so svojim potenciálom stáva významným činiteľom. Táto práca skúmala možnosti zlepšenia kooperatívnej “surveillance” v neriadenom vzdušnom priestore (začínajúc od, ale neobmedzujúc sa na ADS-B) a prostredníctvom súboru experimentov hodnotila prijateľnosť, uskutočniteľnosť, a opätovnú použiteľnosť rôznych existujúcich antikolíznych systémov a “situational awareness” systémov, či už šitých na mieru pre všeobecné letectvo alebo nie. Súčasťou výskumu bolo aj skúmanie možného prispôsobenia konceptu “Remain Well Clear” vyvíjaného pre drony, prevádzkovým potrebám všeobecného letectva. Výskumné aktivity v rámci tejto dizertačnej práce prebiehali v dvoch fázach. V rámci prvej fázy, ktorá trvala od roku 2015 do roku 2019, sa uskutočnila séria experimentov. Druhá fáza sa zamerala na prehľadnú analýzu systémov zavedených od posledného experimentu, ktorá vyvrcholila v posledných mesiacoch. Práca zdôrazňuje riešenia, ktoré s vhodnými úpravami majú potenciál byť efektívne prispôsobené na používanie vo všeobecnom letectve.
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Human Activity Recognition Using Smartphone
Novák, Andrej ; Červenák, Rastislav (referee) ; Burget, Radim (advisor)
The increase of mobile smartphones continues to grow and with it the demand for automation and use of the most offered aspects of the phone, whether in medicine (health care and surveillance) or in user applications (automatic recognition of position, etc.). As part of this work has been created the designs and implementation of the system for the recognition of human activity on the basis of data processing from sensors of smartphones, along with the determination of the optimal parameters, recovery success rate and comparison of individual evaluation. Other benefits include a draft format and displaying numerous training set consisting of real contributions and their manual evaluation. In addition to the main benefits, the software tool was created to allow the validation of the elements of the training set and acquisition of features from this set and software, that is able with the help of deep learning to train models and then test them.
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Employing the ACP protocol in payment systems
Novák, Andrej ; Burda, Karel (referee) ; Strašil, Ivo (advisor)
Bachelors work focuses on the protocol for the cryptographic systems in payment systems developed for ÚTKO. The work summarizes the current state of the system for payment between the two devices, and work will show how protocol allows for pair of devices within the required activities to negotiate the transaction, negotiate the authentication method, make an authentication, deliver the access parameters and transfer statement. The purpose of this work is to develop scenarios inclusive protocol ACP in the payment system and evaluate them from the aspect of safety, performance data and universality.
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Application for automatic labeling of multimedia data
Novák, Andrej ; Burget, Radim (referee) ; Číka, Petr (advisor)
Bachelor thesis focuses on issues of managing Multimedia database focusing on standard MPEG-7, the components and criteria of this standard will be the key to the managing of static digital images, because the MPEG-7 standard defines the description of multimedia content. Practical part will contain a programmed application, which will work with managing and storing multimedia database based on MPEG-7 standard.
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Employing the ACP protocol in payment systems
Novák, Andrej ; Burda, Karel (referee) ; Strašil, Ivo (advisor)
Bachelors work focuses on the protocol for the cryptographic systems in payment systems developed for ÚTKO. The work summarizes the current state of the system for payment between the two devices, and work will show how protocol allows for pair of devices within the required activities to negotiate the transaction, negotiate the authentication method, make an authentication, deliver the access parameters and transfer statement. The purpose of this work is to develop scenarios inclusive protocol ACP in the payment system and evaluate them from the aspect of safety, performance data and universality.
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Application for automatic labeling of multimedia data
Novák, Andrej ; Burget, Radim (referee) ; Číka, Petr (advisor)
Bachelor thesis focuses on issues of managing Multimedia database focusing on standard MPEG-7, the components and criteria of this standard will be the key to the managing of static digital images, because the MPEG-7 standard defines the description of multimedia content. Practical part will contain a programmed application, which will work with managing and storing multimedia database based on MPEG-7 standard.
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Human Activity Recognition Using Smartphone
Novák, Andrej ; Červenák, Rastislav (referee) ; Burget, Radim (advisor)
The increase of mobile smartphones continues to grow and with it the demand for automation and use of the most offered aspects of the phone, whether in medicine (health care and surveillance) or in user applications (automatic recognition of position, etc.). As part of this work has been created the designs and implementation of the system for the recognition of human activity on the basis of data processing from sensors of smartphones, along with the determination of the optimal parameters, recovery success rate and comparison of individual evaluation. Other benefits include a draft format and displaying numerous training set consisting of real contributions and their manual evaluation. In addition to the main benefits, the software tool was created to allow the validation of the elements of the training set and acquisition of features from this set and software, that is able with the help of deep learning to train models and then test them.
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