National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Using Sensor Data to Derive Environment State
Sakin, Martin ; Korček, Pavol (referee) ; Viktorin, Jan (advisor)
This diploma thesis deals with the analysis, description and usage of sensor data from an intelligent home system. This term also describes the intelligent system BeeeOn, which provides a sensor data and the possibility of extending this system to automation tasks. This is followed by the analysis of all the measured physical quantities, their properties and their influence on humans. The results from the measured data were used to create a classifier based on deep neural networks to detect current events at home. Detected events can be used for the following automation system to help improve living conditions. At the end of this thesis are discussed the results and options to continue with this project.
Using Sensor Data to Derive Environment State
Sakin, Martin ; Korček, Pavol (referee) ; Viktorin, Jan (advisor)
This diploma thesis deals with the analysis, description and usage of sensor data from an intelligent home system. This term also describes the intelligent system BeeeOn, which provides a sensor data and the possibility of extending this system to automation tasks. This is followed by the analysis of all the measured physical quantities, their properties and their influence on humans. The results from the measured data were used to create a classifier based on deep neural networks to detect current events at home. Detected events can be used for the following automation system to help improve living conditions. At the end of this thesis are discussed the results and options to continue with this project.
Data in social networking sites and it's use by small and medium enterprises
Kořínek, Tomáš ; Kunstová, Renáta (advisor) ; Feige, Tomáš (referee)
This diploma thesis focuses on data included in social networking sites. It also evaliuates the possibilities of using such data from small and medium enterprises (SME) point of view. The first part of the thesis describes the context of social networking sites (SNS). Further it explores structures in which SNS data persist and conditions to be met when loading the data. The first part incorporates an overview of basic actions to be peformed when starting using the data. The second part of this thesis is more focused on usage of the data. It offers a detailed overview of cases of use in terms of data on SNS. The third part is subdivided into two separate sections. The first section describes results of an experiment on what data can be found based on name and email address. The second section contains a suggestion on a course of actions needed to be made to establish an SNS strategy in a SME. The course of steps is further demonstrated on a real world small enterprise. The main asset of the thesis is the overview of data available on SNS, steps to load it and it's cases of use. This allows the enterprises in SME sector to orientate themselfs in the world of SNS data and to fast integrate the data in the everyday life. Another asset of this thesis is the demonstration of what data can be found on SNS after entering name and e-mail address. This can help individuals imagine what data they are sharing without knowing it.

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