Aim of study. To evaluate the image of sanatorium „Tulpe“ in respect of its clients. Objectives: 1) to inspect means that sanatorium makes for image forming and 2) to investigate the image that is formed for different groups of clients Methods. Questionnaire survey, comparative analysis, statistical data analysis. The questionnaire made from 20 basic questions that had alternative choices. Statistical data analysis was performed with the statistical package SPSS 11.0 for Windows and Microsoft Excel. χ2 criterion was implemented for hypothesis evaluation. Risk estimation was counted with 95 % confidence interval (C.I. = 0.95). Results. Surveyed population was 136 respondents: 86 (63,3%), females and 50 (36,7 %) males. 26 clients arrived for weekend rest and 110 - for rehabilitation after treatment. 86 respondents had the possibility to choose concrete sanatorium. Analysis of means that sanatorium makes for image forming showed that „Tulpe“ implements and caries out purposive advertisement in the Internet, press and other printed papers. The prime factor for image forming is the broad offer of services, good quality and personnel with high professional qualification. Questionnaire results show that „Tulpe“ has a positive image in all groups of examined respondents. More than half of respondents despite of their income, age range, gender or social group evaluated the professional quality of personnel as high. The sight of „Tulpe“ staff to their work with clients was evaluated... [to full text]

The objective of this research is to develop a bearing fault detection scheme for electric machines via stator current. A new method, called the stator current noise cancellation method, is proposed to separate bearing fault-related components in the stator current. This method is based on the concept of viewing all bearing-unrelated components as noise and defining the bearing detection problem as a low signal-to-noise ratio (SNR) problem. In this method, a noise cancellation algorithm based on Wiener filtering is employed to solve the problem. Furthermore, a statistical method is proposed to process the data of noise-cancelled stator current, which enables bearing conditions to be evaluated solely based on stator current measurements. A detailed theoretical analysis of the proposed methods is presented. Several online tests are also performed in this research to validate the proposed methods. It is shown in this work that a bearing fault can be detected by measuring the variation of the RMS of noise-cancelled stator current by using statistical methods such as the Statistical Process Control. In contrast to most existing current monitoring techniques, the detection methods proposed in this research are designed to detect generalized-roughness bearing faults. In addition, the information about machine parameters and bearing dimensions are not required in the implementation.

This thesis deals with processing of real data regarding waste collection. It describes select parts of the fields of statistical tests, identification of outliers, correlation analysis and linear regression. This theoretical basis is applied through the programming language Python to process the data into a form suitable for creating linear models. Final models explain between 70 \% and 85 \% variability. Finally, the information obtained through this analysis is used to specify recommendations for the waste management company.

Hypokinetická dysartrie (HD) je častým symptomem vyskytujícím se až u 90% pacientů trpících idiopatickou Parkinsonovou nemocí (PN), která výrazně přispívá k nepřirozenosti a nesrozumitelnosti řeči těchto pacientů. Hlavním cílem této disertační práce je prozkoumat možnosti použití kvantitativní paraklinické analýzy HD, s použitím parametrizace řeči, statistického zpracování a strojového učení, za účelem diagnózy a objektivního hodnocení PN. Tato práce dokazuje, že počítačová akustická analýza je schopná dostatečně popsat HD, speciálně tzv. dysprozodii, která se projevuje nedokonalou intonací a nepřirozeným tempem řeči. Navíc také dokazuje, že použití klinicky interpretovatelných akustických parametrů kvantifikujících různé aspekty HD, jako jsou fonace, artikulace a prozodie, může být použito k objektivnímu posouzení závažnosti motorických a nemotorických symptomů vyskytujících se u pacientů s PN. Dále tato práce prezentuje výzkum společných patofyziologických mechanizmů stojících za HD a zárazy v chůzi při PN. Nakonec tato práce dokazuje, že akustická analýza HD může být použita pro odhad progrese zárazů v chůzi v horizontu dvou let.