National Repository of Grey Literature 33,663 records found  1 - 10nextend  jump to record: Search took 2.03 seconds. 


Analysis of the EU regulations in the field of Information and Telecommunication technologies and their effect on the single market
Hart, Ludvík ; Procházka, Pavel (advisor) ; Strejček, Ivo (referee)
The bachelor thesis describes the EU regulations in the field of information and communication technologies (ICT), particularly the Digital agenda for Europe strategy. These regulations are then tested for their influence on the European single market. The major question answered here is whether the EU regulations in field of ICT have a positive impact on the EUs single market. Answer to this question helps us evaluate the ongoing Digital agenda strategy. The impact of the regulations is analysed by induction of the following indicators, international trade, ratio of population buying online, DESI index and NRI index. With this method it is possible to tackle the wide range of fields the Digital agenda covers. I conclude this work with the statement, that European ICT regulations do have a positive impact on the single market, although are problematic due to the slow legislative process and low efficiency in addressing the regulated issue.

Potential of IoT in Smart City
Pavlíček, Tomáš ; Gála, Libor (advisor) ; Basl, Josef (referee)
The aim of this masters thesis is to identify, in which phase of adoption of Internet of Things (IoT) application areas of concept Smart City are nowadays Czech regional cities, what is their outlook to 2025 and also identify in which dimensions of concept Smart city, supported by IoT technologies, perceive Czech regional cities the greatest potential. Based on information obtained from the studied materials, the concept of Internet of Things (IoT) is described, along with a detailed description of one of its application area, namely Smart City. This area is further divided into specific dimensions, that cover specific application areas which can, through internet technology, support things in a special way. With these insights, the questionnaire (built on identified IoT application areas of smart city) was developed. Thesis should be beneficial for all towns in the Czech Republic, because it provides a comprehensive view of individual IoT application areas of concept Smart City including information on which of these IoT application areas are currently focusing regional cities, and on which they want to focus to the future. On the other hand, the survey results could also be beneficial for commercial entities, which focus on IoT implementation in cities. These entities will be able to recognise which IoT products are currently best for cities.

Možnosti využití sociálních sítí pro podporu podnikání v autoservisech
Mischaniuk, Mykhailo ; Molnár, Zdeněk (advisor) ; Gála, Libor (referee)
The diploma thesis deals with the problem of using social networks in the field of car repair services. The primary aim is to provide the recommendations for businesses in a structured way on how to better utilize these networks to get better competitiveness. This work is divided into three parts. The first theoretical part deals with basic description of networks and their statistics. This part also covers some basic tools that we can use to analyze and maintain social network platforms. The second analytical part deals with competitive analysis in car repair services and gives an overview of the most popular Runet social network platforms. The third practical part provides structured view on all important aspects of social platform maintenance and behaviour. In this section, you can find the description of various views and the recommendations I give to the specific car repair service.

Míry podobnosti pro nominální data v hierarchickém shlukování
Šulc, Zdeněk ; Řezanková, Hana (advisor) ; Šimůnek, Milan (referee) ; Žambochová, Marta (referee)
This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical clustering of objects and variables. To achieve this goal, four experiments dealing both with the object and variable clustering were performed. They examine the clustering quality of the examined similarity measures for nominal data in comparison with the commonly used similarity measures using a binary transformation, and moreover, with several alternative methods for nominal data clustering. The comparison and evaluation are performed on real and generated datasets. Outputs of these experiments lead to knowledge, which similarity measures can generally be used, which ones perform well in a particular situation, and which ones are not recommended to use for an object or variable clustering. The second aim is to propose a theory-based similarity measure, evaluate its properties, and compare it with the other examined similarity measures. Based on this aim, two novel similarity measures, Variable Entropy and Variable Mutability are proposed; especially, the former one performs very well in datasets with a lower number of variables. The third aim of this thesis is to provide a convenient software implementation based on the examined similarity measures for nominal data, which covers the whole clustering process from a computation of a proximity matrix to evaluation of resulting clusters. This goal was also achieved by creating the nomclust package for the software R, which covers this issue, and which is freely available.

Communications Intercultural Aspect in Working Environment of a chosen Firm
Jenšovský, Šimon ; Hiršová, Miloslava (advisor) ; Balgová, Dagmar (referee)
The thesis covers cultural differences among employees of a multi-national corporation in relation to communication and task execution. Thesis aims to construct a theoretical framework to map these cultural differences and apply gathered insights in practical research targeting the effect of cultural differences on communication and task execution. Research questionnaire replicates Hofstede's work and also builds on practical application of Hofstede's work by several authors. Research data were gathered via digital questionnaire. Data refinement and evaluation was conducted using frequency description and statistical methods of structure comparison. The thesis provides a set of practical recommendations as a result. These are aimed to help reduce or possibly eliminate negative effects of cultural differences in the workplace.

Analysis of security access to internet banking via mobile devices
Hiršal, Michael ; Veber, Jaromír (advisor) ; Klíma, Tomáš (referee)
The objective of this thesis is to analyze and review external security of mobile applications providing mobile banking on Android operating system. The theoretical section is aimed to describe the prerequisites for security analysis and the technological design of security for this kind of applications. Related practical section is based on the data acquired by the author in which the technological security is examined. Products of the companies Air Bank, a.s. and Moneta Money Bank, a.s. were selected to be examined in the practical section. These two companies are sample of the current Czech bank market. The examined level of security of both of the applications and their comparison are covered in the conclusion of the thesis.

Analysis of Reporting in Business and its Technological Coverage by Microsoft BI
Lučan, Martin ; Pour, Jan (advisor) ; Pavlíčková, Jarmila (referee)
This master thesis deals with an analysis of reporting in business and its technological coverage by Microsoft Business Intelligence portfolio. The main objective of this work is to analyze the individual organization's requirements on reporting and coverage options. This work can serve as a tool for implementation of reporting in a company or for increasing the efficiency of reporting. The first part is theoretical. It deals with Business Intelligence as an environment for reporting. It also defines the basic concepts. The next part covers the area of reporting. This section provides an insight into the history, definition of outcomes and detailed classification of reporting from different perspectives. Furthermore, the definition of users reporting and the reporting standards in companies is also covered. At the end of this chapter, there is the definition of the benefits of reporting for companies. The main part of this master thesis is an analysis of the requirements for reporting in companies. The chapter defines five key perspectives which are described in a greater detail. The methods how companies should methodically approach these requirements are also discussed. The chapter further looks at the requirements for a concrete report. An output of this chapter is an effective template for gathering requirements for a specific report. The last chapter focuses on reporting portfolio analysis of Microsoft and defines the concept of Microsoft. It provides detailed information about reporting products that Microsoft offers. An analyses and a mapping of the individual characteristics of the products and the requirements is defined in this thesis.

Global Economy Outlook - December 2016
Česká národní banka
Global Economic Outlook presents the regular monthly overview of recent and expected developments in selected territories, focusing on key economic variables: inflation, GDP growth, leading indicators, interest rates, exchange rates and commodity prices. In this issue, we also focus on a major phenomenon of the day: the migration of people into Europe, and Germany in particular. In this context, we present an analysis of the effect of the increased number of refugees on the German labour market. We show, among other things, that the incoming migrants will be far from enough to cover the demand for labour in Germany and also that they will compete more with workers arriving in search of jobs in Germany from Central and Eastern European countries than with German citizens.
Fulltext: Download fulltextPDF; Download fulltextPDF

Effect of snowpack on runoff generation during rain on snow event.
Juras, Roman ; Máca, Petr (advisor) ; Ladislav , Ladislav (referee)
During a winter season, when snow covers the watershed, the frequency of rain-on-snow (ROS) events is still raising. ROS can cause severe natural hazards like floods or wet avalanches. Prediction of ROS effects is linked to better understanding of snowpack runoff dynamics and its composition. Deploying rainfall simulation together with hydrological tracers was tested as a convenient tool for this purpose. Overall 18 sprinkling experiments were conducted on snow featuring different initial conditions in mountainous regions over middle and western Europe. Dye tracer brilliant blue (FCF) was used for flow regime determination, because it enables to visualise preferential paths and layers interface. Snowpack runoff composition was assessed by hydrograph separation method, which provided appropriate results with acceptable uncertainty. It was not possible to use concurrently these two techniques because of technical reasons, however it would extend our gained knowledge. Snowmelt water amount in the snowpack runoff was estimated by energy balance (EB) equation, which is very efficient but quality inputs demanding. This was also the reason, why EB was deployed within only single experiment. Timing of snowpack runoff onset decrease mainly with the rain intensity. Initial snowpack properties like bulk density or wetness are less important for time of runoff generation compared to the rain intensity. On the other het when same rain intensity was applied, non-ripe snowpack featuring less bulk density created runoff faster than the ripe snowpack featuring higher bulk density. Snowpack runoff magnitude mainly depends on the snowpack initial saturation. Ripe snowpack with higher saturation enabled to generate higher cumulative runoff where contributed by max 50 %. In contrary, rainwater travelled through the non-ripe snowpack relatively fast and contributed runoff by approx. 80 %. Runoff prediction was tested by deploying Richards equation included in SNOWPACK model. The model was modified using a dual-domain approach to better simulate snowpack runoff under preferential flow conditions. Presented approach demonstrated an improvement in all simulated aspects compared to the more traditional method when only matrix flow is considered.