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The value of life from macroenomic point of view in United States of America, Czech republic and Russia between years 2007-2014
Antoš, Michal ; Zeman, Martin (advisor) ; Brabec, Petr (referee)
The subject of this bachelor thesis is the research of the value of life calculation in the Czech republic, United states of America and Russia in 2007-2014.The main purpose is to analyze and compare values of life and major factors influencing them. The hypothesis is that value of life differs in selected countries due to distinctions of sections influencing them. The theoretical part is devoted to sections directly or indirectly influencing values of life, and then analyzing and comparing them together within the selected countries. The selected sections are education, health care, labor market, inequality and living standards. The practical thesis approach is to calculate the values of life for the individual states. The values of life are calculated for so called, representative individual, who is 40-years old citizen of selected country. In the period, in which is the value of life calculated, the retirement age and life expectancy are also considered in formula. Calculated values are examined and the economic and political measures are offered to the states, which can turn into significant increases in the value of life in future.
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The possibilities and conditions for the use of tools for analyzing customer behavior on social networks
Horák, Vít ; Molnár, Zdeněk (advisor) ; Měsíček, Libor (referee)
The thesis deals with free tools that can be used to analyze customers of SMB e-commerce enterprises on the social network Facebook in order to increase their competitiveness within the social network. The theoretical part focuses on defining key terms, distinguishes types of social media and describes present social networks situation in world and in the Czech Republic from a users perspective and in the Czech Republic also from an enterprises perspective. Furthermore, the theoretical part also deals with possibilities that social networks can offer to the SMB enterprises. And as well it identifies different types of analytical tools that can be used for purposes of monitoring customers or analysis of customers. In the beginning of the practical part there is introduced the company Dobrutka.EU s.r.o. (the e commerce B2C company). Afterwards is presented the analysis of the survey about how SMB companies that operate the best Czech e-shops monitor and analyze their activities and customers from the social network Facebook. Subsequently there is handled the selection of appropriate tools for SME companies, which are also analyzed in the following chapter. At the end of the practical part there is practical application of knowledge from the thesis to Dobrutka.EU s.r.o. through the design and pilot deployment of appropriate procedures and analytic tools, whose effectiveness is evaluated at the end of chapter. The main benefit is in act of finding and verification of free tools and effective method that allows for detailed analysis of company customers even for micro companies and thus also effectively achieve positive economic results even in emerging facebook presentations.
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The Value of CSR for Czech Consumers
Faradji, Elise ; Štěrbová, Ludmila (advisor) ; Seror, Patricia (referee)
Nowadays consumers purchasing behavior is influenced by new factors such as the social and environmental implication of companies. This is why Corporate Social Responsibility (CSR) is a growing trend which companies need to look after carefully. However implementing an efficient CSR strategy is a complex process for corporations; especially since the core concept of CSR remain quite blurry. The goal of this study is to analyze the perception of consumers towards CSR to find out about the value creation that CSR produce for consumers and its impact on their purchasing behavior. This paper will ultimately help companies to implement their CSR strategy more efficiently. This study aims to contribute by conducting an in-depth analysis of consumers attitudes and behavior towards CSR. If most of researchers are using a quantitative approach this study means to deal with the issue with a qualitative perspective. Indeed twelve semi-structured interviews will support the findings. On top of those practical and physical interviews some theoretical knowledge will be added to the construction of the argument especially to bring a framework that shows the importance of all types of value creation (functional emotional and social). The findings of the thesis emphasize the facts already proven by other researchers; value creation is fundamental to make consumers care about CSR. However the study will show how much skepticism towards CSR can impact negatively consumers purchasing behavior. The research will help companies implementing more successful CSR strategy and develop new solutions to reach customers and influence their purchasing behavior through the creation of value for them.
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the impact of the global economic crisis on international trade of the Czech republic
Sakhautdinov, Timur ; Drozen, František (advisor) ; Marková, Jana (referee)
This thesis addresses the effects of the global economic crisis on the situation in the international trade of the Czech Republic. I focused on exploring the causes of the crisis and its impact on international trade. The chosen problem I solved by using index methods, deduction, induction, and abstraction. Carried out by the research I've found specific effects on the territorial and commodity structure of Czech trade. The main findings are the impact of the crisis on the volume and structure of trade of the Czech Republic from the territorial point of view and according to the classification of SITC.
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Corporate social responsibility of SAP
Vaníková, Zuzana ; Müllerová, Františka (advisor) ; Sitter, Barbora (referee)
The thesis deals with corporate social responsibility. The subject of investigation is the CSR strategy of the chosen company. The theoretical part describes the corporate social responsibility from a historical and a current perspective. Above all, the thesis puts emphasis on the social pillar, namely the activities of the company in relation to its stakeholders, particularly employees and volunteering. Volunteering is an important part of corporate social responsibility. The questionnaire and subsequently its statistical evaluation answers the question whether the students currently studying in two economic universities consider SAP as a responsible company and how they relate to volunteerism.
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The model of adaptive behavior for the development of Czech assessment scales for children
Chadimová, L. ; Urbánek, Tomáš ; Seifert, M. ; Ivanková, K.
We introduce results of cluster analysis conducted during the development of Czech assessment scales of adaptive behavior in children and adolescents. Within the frame of National Institute of Education we organized the group of experts on the topic of adaptive behavior, both from the academical and practical areas. Every member of the expert group obtained 300 items inspired by local or foreign methods of adaptive behavior assessment. The experts were instrued to cathegorize the items, which they found meaningful with regard to the construct of adaptive behavior and its manifestation on the Czech background. Based on results we compiled consequent model of adaptive behavior, that becomes the base structure for newly developed assessment scales. We compare this structure with the model of adaptive behavior used by DSM-V.\n
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Subsidy Support of the Sustainable Waste Management
BEDNÁŘOVÁ, Renata
The subject of the dissertation is the issue of the waste management with special emphasis on the recycling of the construction and demolition waste. The recourse is an analysis of the key instruments regulating the activities and behaviour of market operators in this field toward fulfilling all-society priorities and principles of the sustainable development, where special accent is put on the area of subsidy policies and programmes. The aim of the dissertation is to analyse and evaluate the setting of the selected subsidy programme in terms of economic and ecological efficiency with the emphasis on the assessment of the impact on the recipient. The subject of the research will be a priority axis 4 "Improvement of Waste Management and Removal of Old Environmental Burdens" within the Operational Programme Environment 2007 - 2013. In the literature review basic concepts and important definitions are defined, followed by the comprehensive and complex searches of the problematics from different angles of view. First of all, the global aspect of environmental protection is discussed, broader historical, legal, economic and political contexts, that are essential fundament for understanding the current and future challenges both globally regionally, are summarized. Hereafter, a more detailed description of the situation of the European Union is followed, then the overview is completed by a detailed view at the state of the problematics in the Czech Republic. Subsequent chapters are devoted to a detailed analysis of the waste management sector, again in terms of global, European and national standpoint, in the end the view is focused on the key issue of the dissertation problematics of construction and demolition waste. In the application part the fulfilling of the stated objective of the dissertation through four defined hypothesis is solved. Hypotheses verify the efficiency and appropriateness of the setting of the system of subsidies in the frame of the monitored programme. The emphasis is imposed on the assessment of the impact of the allocated subsidies to the private entities on their economic and environmental efficiency.
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Optimization of Gaussian Mixture Subspace Models and Related Scoring Algorithms in Speaker Verification
Glembek, Ondřej ; Brummer, Niko (referee) ; Campbell,, William (referee) ; Burget, Lukáš (advisor)
Tato práce pojednává o modelování v podprostoru parametrů směsí gaussovských rozložení pro rozpoznávání mluvčího. Práce se skládá ze tří částí. První část je věnována skórovacím metodám při použití sdružené faktorové analýzy k modelování mluvčího. Studované metody se liší převážně v tom, jak se vypořádávají s variabilitou kanálu testovacích nahrávek. Metody jsou prezentovány v souvislosti s obecnou formou funkce pravděpodobnosti pro sdruženou faktorovou analýzu a porovnány jak z hlediska přesnosti, tak i z hlediska rychlosti. Je zde prokázáno, že použití lineární aproximace pravděpodobnostní funkce dává výsledky srovnatelné se standardním vyhodnocením pravděpodobnosti při dramatickém zjednodušení matematického zápisu a tím i zvýšení rychlosti vyhodnocování. Druhá část pojednává o extrakci tzv. i-vektorů, tedy nízkodimenzionálních reprezentací nahrávek. Práce prezentuje dva přístupy ke zjednodušení extrakce. Motivací pro tuto část bylo jednak urychlení extrakce i-vektorů, jednak nasazení této úspěšné techniky na jednoduchá zařízení typu mobilní telefon, a také matematické zjednodušení umožněňující využití numerických optimalizačních metod pro diskriminativní trénování. Výsledky ukazují, že na dlouhých nahrávkách je zrychlení vykoupeno poklesem úspěšnosti rozpoznávání, avšak na krátkých nahrávkách, kde je úspěšnost rozpoznávání nízká, se rozdíly úspěšnosti stírají. Třetí část se zabývá diskriminativním trénováním v oblasti rozpoznávání mluvčího. Jsou zde shrnuty poznatky z předchozích prací zabývajících se touto problematikou. Kapitola navazuje na poznatky z předchozích dvou částí a pojednává o diskriminativním trénování parametrů extraktoru i-vektorů. Výsledky ukazují, že při klasickém trénování extraktoru a následném diskriminatviním přetrénování tyto metody zvyšují úspěšnost.
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Image analysis in tribodiagnostics
Machalík, Stanislav ; Stodola,, Jiří (referee) ; Tillová,, Eva (referee) ; Zemčík, Pavel (advisor)
Image analysis of wear particles is a suitable support tool for detail analysis of engine, gear, hydraulic and industrial oils. It allows to obtain information not only of basic parameters of abrasion particles but also data that would be very difficult to obtain using classical ways of evaluation. Based on the analysis of morphological or image characteristics of particles, the progress of wearing the machine parts out can be followed and, as a result, possible breakdown of the engine can be prevented or the optimum period for changing the oil can be determined. The aim of this paper is to explore the possibilities of using the image analysis combined with the method of analytical ferrography and suggest a tool for automated particle classification. Current methods of wear particle analysis are derived from the evaluation that does not offer an exact idea of processes that take place between the friction surfaces in the engine system. The work is based upon the method of analytical ferrography which allows to evaluate the state of the machine. The benefit of use of classifiers defined in this wirk is the possibility of automated evaluation of analytical ferrography outputs; the use of them eliminates the crucial disadvantage of ferrographical analysis which is its dependence on the subjective evaluation done by the expert who performs the analysis. Classifiers are defined as a result of using the methods of machine learning. Based on an extensive database of particles that was created in the first part of the work, the classifiers were trained as a result, they make the evaluation of ferrographically separated abrasion particles from oils taken from lubricated systems possible. In the next stage, experiments were carried out and optimum classifier settings were determined based on the results of the experiments.
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