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Analysis of walking as energy source for biomedical applications
Cieslar, Filip ; Kovář, Jiří (referee) ; Hadaš, Zdeněk (advisor)
This paper deals with measurements and statistical processing of the acceleration data measured in the area of the human head. Types, principles of biomedical applications are shown, and problems pointed to its power supply. There are efforts to earn energy from surroundings of devices and extend its lifespan. Kinetic energy harvesters require such levels of acceleration for their excitation, that could possibly be obtained from human movements. 30 different people with different characteristics were thus measured during walking in order to find the common frequencies and relevant magnitudes created through vibrations during walking. Energy efficiency is evaluated using generator and use of this source to supply biomedical devices.
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Analysis of walking as energy source for biomedical applications
Cieslar, Filip ; Kovář, Jiří (referee) ; Hadaš, Zdeněk (advisor)
This paper deals with measurements and statistical processing of the acceleration data measured in the area of the human head. Types, principles of biomedical applications are shown, and problems pointed to its power supply. There are efforts to earn energy from surroundings of devices and extend its lifespan. Kinetic energy harvesters require such levels of acceleration for their excitation, that could possibly be obtained from human movements. 30 different people with different characteristics were thus measured during walking in order to find the common frequencies and relevant magnitudes created through vibrations during walking. Energy efficiency is evaluated using generator and use of this source to supply biomedical devices.
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New low-cost polutant sensor evaluation
Sinkulová, Michaela ; Zíková, Naděžda (advisor) ; Hovorka, Jan (referee)
This bachelor thesis deals with the introduction and subsequent comparison of low-cost sensors measuring air pollutants, which were used in the Citi-sense project in Ostrava. The results of the measurements carried out in the period from 1st June 2015 to 7th September 2015, are compared with reference data measured by the Czech hydrometeorological institute during the same period. The data are analyzed to provide the basis for further research into low-cost devices monitoring air pollution. Basic parameters such as average values, correlation coefficient, slope of linear regression, reproducibility of results, RMSE, and weekly and daily cycle are calculated for all measured pollutants (O3, CO, NOx, NO2, NO, PM10). The results are graphically illustrated and commented. The thesis also discusses the concordance of concentrations measured by the sensors with the data from the reference instruments, and the use of these new sensors in air quality monitoring in the future. Key words: Low-cost sensors, pollutants, air pollution monitoring methods
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Statistická analýza výzkumu spokojenosti studentů s možnostmi stravování na Gymnáziu Brno, Křenová
Prachařová, Hana
The aim of this study is to find out the opinions of students about the school canteens services and concession stand and also whether these services are being utilize sufficiently. The thesis consists of literature review and the actual research. The literature review describes the main concepts of the topic, namely marketing research and basic methods of statistical description of the data. The research part describes the research process and the statistical analysis of the data.
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New low-cost polutant sensor evaluation
Sinkulová, Michaela ; Zíková, Naděžda (advisor) ; Hovorka, Jan (referee)
This bachelor thesis deals with the introduction and subsequent comparison of low-cost sensors measuring air pollutants, which were used in the Citi-sense project in Ostrava. The results of the measurements carried out in the period from 1st June 2015 to 7th September 2015, are compared with data measured by the Czech hydrometeorological Institute during the same period of time. The data are designed to provide the basis for further research into low-cost devices monitoring air pollution. Basic parameters such as average values, correlation coefficient, slope of linear regression, weekly and daily cycle are calculated. The results are graphically illustrated and commented. The thesis also discusses the concordance of individual concentrations and use of these new sensors in air quality monitoring in the future. Key words: Low-cost sensors, pollutants, air pollution monitoring methods
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