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Demografická analýza ORP Moravská Třebová
Kolář, Jakub
This bachelor thesis deals with the analysis of demographic development of the municipality with extended competence Moravská Třebová form 2001 to 2014. The analysis follows the development of demographic indicators such as population, mortality, birth rate, marriage rate, divorce rate and migration. The prognosis of development for next years is used for selected indicators using time series methods of compensation appropriate trend function.
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Analysis of ice and water rescue statistics.
Bohatý, Aleš ; Fiala, Miloš (advisor) ; Vilášek, Josef (referee)
Title: Analysis of ice and water rescue statistics. Objectives: The aim is to describe the work of rescuers during rescue operations on ice and water, to describe the watercourses and water areas freezing process, to describe hydrology of watercourses and water areas, to inform about the numbers of ice and water rescue interventions in past years and in each of Czech republic's regions and to determine a time series data tendency of ice and water rescue statistics - to predict whether the rescue interventions numbers will increase or decrease in the years to come. Methods: Literature and study sources research and their further summarization, ice and water rescue statistics analysis by determining the time series data tendency (trends) by calculating linear regression parameters of these statistics, tendencies visualization using graphs and heatmaps. Results: According to data analysis of years 2006 - 2021, water and ice rescue numbers will be decreasing in the future. On the other hand data analysis of years 2014 - 2021 predict an increase in these numbers. The conclusion is that the ice and water rescue numbers will be increasing in the future, although the numbers will not be as high as of past years of 2006 - 2014. Key words: Analysis, statistics, tendency, trend, time series data, linear...
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Trully Smart Smart Socket
Valušek, Ondřej ; Zemčík, Pavel (referee) ; Materna, Zdeněk (advisor)
There is a large selection of so called smart sockets available on the market today. The possibilities of these sockets are sadly very limited. Typically, they can measure power consumption, be turned off and on remotely by mobile application and timer. This thesis deals with this problem by showing how a smart relay can be used to create a truly smart smart socket that can classify currently connected appliances using just short time window for up to three devices combined. The power consumption is measured using Shelly 1PM together for three plugs. Using time series feature extraction, unknown device detection with SVM and neural network classification, the accuracy was over 99%. on a dataset containing combinations of smart TV, lamp and a laptop consumption. Information about currently connected devices is displayed on a webpage and written to a database to be viewed later. The information about connecting and disconnecting a device can be further sent to a system for smart home management.
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