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Web Content Archiving Service
Matuš, Adam ; Polčák, Libor (referee) ; Serečun, Viliam (advisor)
This bachelor's thesis deals with the design of web microservices for web archiving, mainly focused on deep web pages. The HTTP and HTTPS protocols will be explained in detail as well as web services design and architecture. The reader will learn about web archiving frameworks, especially the Lemmiwinks framework. This framework will be used as a basis for web services designed for archiving into the MAFF archive.
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Using Machine Learning for Improvement of Location Estimation in Wireless Positioning System
Matuš, Adam ; Mrázek, Vojtěch (referee) ; Šimek, Václav (advisor)
This thesis describes the Sewio platform and the communication techniques of the ultra-wideband technology standard, which the platform uses to determine the position of objects. The technology is based on measuring signal arrival time intervals and multilateration using time differences. The platform generates and stores historical data from past positioning of objects. The dataset consists of sequences of position data which, in addition to the monitored environment, contain relevant signal parameters of wireless communication. A system of machine learning techniques based on Gaussian models and linear regression was implemented to classify and predict real-time position data with the goal of improving position estimation stability and robustness. The system functions as a downstream component, which accepts RTLS position data and outputs improved position estimates. The evaluation results show that the implemented system can successfully improve position stability and robustness.
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Web Content Archiving Service
Matuš, Adam ; Veselý, Vladimír (referee) ; Polčák, Libor (advisor)
This bachelor's thesis deals with the design of web microservices for web archiving, mainly focused on deep web pages. The HTTP and HTTPS protocols will be explained in detail as well as web services design and architecture. The reader will learn about web archiving frameworks, especially the Lemmiwinks framework. This framework will be used as a basis for web services designed for archiving into the MAFF archive.
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Using Machine Learning for Improvement of Location Estimation in Wireless Positioning System
Matuš, Adam ; Mrázek, Vojtěch (referee) ; Šimek, Václav (advisor)
This thesis describes the Sewio platform and the communication techniques of the ultra-wideband technology standard, which the platform uses to determine the position of objects. The technology is based on measuring signal arrival time intervals and multilateration using time differences. The platform generates and stores historical data from past positioning of objects. The dataset consists of sequences of position data which, in addition to the monitored environment, contain relevant signal parameters of wireless communication. A system of machine learning techniques based on Gaussian models and linear regression was implemented to classify and predict real-time position data with the goal of improving position estimation stability and robustness. The system functions as a downstream component, which accepts RTLS position data and outputs improved position estimates. The evaluation results show that the implemented system can successfully improve position stability and robustness.
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|
|
Web Content Archiving Service
Matuš, Adam ; Veselý, Vladimír (referee) ; Polčák, Libor (advisor)
This bachelor's thesis deals with the design of web microservices for web archiving, mainly focused on deep web pages. The HTTP and HTTPS protocols will be explained in detail as well as web services design and architecture. The reader will learn about web archiving frameworks, especially the Lemmiwinks framework. This framework will be used as a basis for web services designed for archiving into the MAFF archive.
|
|
|
Web Content Archiving Service
Matuš, Adam ; Polčák, Libor (referee) ; Serečun, Viliam (advisor)
This bachelor's thesis deals with the design of web microservices for web archiving, mainly focused on deep web pages. The HTTP and HTTPS protocols will be explained in detail as well as web services design and architecture. The reader will learn about web archiving frameworks, especially the Lemmiwinks framework. This framework will be used as a basis for web services designed for archiving into the MAFF archive.
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