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Big Data Processing from Large IoT Networks
Benkő, Krisztián ; Podivínský, Jakub (referee) ; Krčma, Martin (advisor)
The goal of this diploma thesis is to design and develop a system for collecting, processing and storing data from large IoT networks. The developed system introduces a complex solution able to process data from various IoT networks using Apache Hadoop ecosystem. The data are real-time processed and stored in a NoSQL database, but the data are also stored in the file system for a potential later processing. The system is optimized and tested using data from IQRF network. The data stored in the NoSQL database are visualized and the system periodically generates derived predictions. Users are connected to this system via an information system, which is able to automatically generate notifications when monitored values are out of range.
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Safe Flight-Control of Drone Based on Sonar Measurements
Benkő, Krisztián ; Maršík, Lukáš (referee) ; Beran, Vítězslav (advisor)
Bachaleor's thesis describes design, implementation and testing of anti-crash system for safe flight-control of quadcopter. The system is implemented using ROS framework, where input data from sonars and keyboard are processed, calculation is then performed, output of which is controlling motors. Quadcopter is able to move safely in indoor environment. The emphasis was on speed of calculation and system testing. The quadcopter can be controlled by keyboard.
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Big Data Processing from Large IoT Networks
Benkő, Krisztián ; Podivínský, Jakub (referee) ; Krčma, Martin (advisor)
The goal of this diploma thesis is to design and develop a system for collecting, processing and storing data from large IoT networks. The developed system introduces a complex solution able to process data from various IoT networks using Apache Hadoop ecosystem. The data are real-time processed and stored in a NoSQL database, but the data are also stored in the file system for a potential later processing. The system is optimized and tested using data from IQRF network. The data stored in the NoSQL database are visualized and the system periodically generates derived predictions. Users are connected to this system via an information system, which is able to automatically generate notifications when monitored values are out of range.
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Safe Flight-Control of Drone Based on Sonar Measurements
Benkő, Krisztián ; Maršík, Lukáš (referee) ; Beran, Vítězslav (advisor)
Bachaleor's thesis describes design, implementation and testing of anti-crash system for safe flight-control of quadcopter. The system is implemented using ROS framework, where input data from sonars and keyboard are processed, calculation is then performed, output of which is controlling motors. Quadcopter is able to move safely in indoor environment. The emphasis was on speed of calculation and system testing. The quadcopter can be controlled by keyboard.
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