National Repository of Grey Literature 9,343 records found  1 - 10nextend  jump to record: Search took 0.26 seconds. 


Proposing the financial performance prediction index for decision support of the hospital management
Hajdíková, Taťána ; Černá, Anna (advisor) ; Lieskovská, Vanda (referee) ; Lazar, Jaromír (referee)
Dissertation thesis deals with the managerial needs in the area of financial health. Managers need a tool to reveal the impending financial failure or to assess the financial quality of the organization. They link their decisions to performance, ability to pay, employee productivity, financial resources and financial risk. In the theoretical part of the thesis it is necessary to explain the non-profit sector and its connection with the hospital environment. It is also necessary to introduce models used both in the Czech Republic and abroad, which share common elements. The basic aim of this thesis is to propose a financial performance prediction index for decision support of the hospital management, the owners of hospitals and insurance companies. To achieve the basic goal, three sub-goals must be accomplished. The first goal is to divide the hospitals into healthy and unhealthy by using the multi-criteria methods. The second goal is, based on an expert approach with the support of statistical methods, the selection of indicators appropriate for the hospital environment and the third goal is to find a suitable method for the determination of weighted representation of individual indicators in the proposed index and to assemble the final form of the new financial index for the hospital environment.

Analysis of the marketing activities in nonprofit organization INEX-SDA
Müllerová, Michaela ; Procházková, Markéta (advisor) ; Polcar, Jakub (referee)
The aim of this thesis is to analyze marketing activities of nonprofit organization INEX-SDA and make recommendations relating to the marketing mix which would increase awareness of this foundation and also increase voluntary help from the public. The thesis is divided into two parts. First part deals with theoretical definition of marketing and its specifics related to the nonprofit sector. The theoretical part is followed by a practical part in which organization INEX-SDA and the individual elements of the marketing mix are specified. In this part there was also done marketing research. With the analysis of marketing activities information is obtained which together with the theoretical knowledge leads to recommendations relating to the marketing activities of this non-profit organization. The thesis ends with an overall summary.

Multi-functional composites with integrated nanostructured carbon nanotubes based sensing films
Slobodian, P. ; Pertegás, S.L. ; Schledjewski, R. ; Matyáš, J. ; Olejník, R. ; Říha, Pavel
Carbon nanotubes are exceptional nano-objects with respect to their remarkable properties, holding great potential in new polymeric materials design with unique characteristics. To illustrate it, the conventional glass reinforced epoxy composite is combined with a layer of entangled network of carbon nanotubes deposited on polyurethane non-woven membrane. The prepared nano-composite is studied for their diverse mjulti-functional applications involving extension and compression strain sensing composite, remoulding by means of resistance Joule heating and radiating as a planar micro strip antenna operating at frequencies of 2MHz up to 4GHz.

STRAIN ENGINEERING OF THE ELECTRONIC STRUCTURE OF 2D MATERIALS
del Corro, Elena ; Peňa-Alvarez, M. ; Morales-García, A. ; Bouša, Milan ; Řáhová, Jaroslava ; Kavan, Ladislav ; Kalbáč, Martin ; Frank, Otakar
The research on graphene has attracted much attention since its first successful preparation in 2004. It possesses many unique properties, such as an extreme stiffness and strength, high electron mobility, ballistic transport even at room temperature, superior thermal conductivity and many others. The affection for graphene was followed swiftly by a keen interest in other two dimensional materials like transition metal dichalcogenides. As has been predicted and in part proven experimentally, the electronic properties of these materials can be modified by various means. The most common ones include covalent or non-covalent chemistry, electrochemical, gate or atomic doping, or quantum confinement. None of these methods has proven universal enough in terms of the devices' characteristics or scalability. However, another approach is known mechanical strain/stress, but experiments in that direction are scarce, in spite of their high promises.\nThe primary challenge consists in the understanding of the mechanical properties of 2D materials and in the ability to quantify the lattice deformation. Several techniques can be then used to apply strain to the specimens and thus to induce changes in their electronic structure. We will review their basic concepts and some of the examples so far documented experimentally and/or theoretically.

Natural houses in gardens
Formánková, Kristýna ; Kunt, Miroslav (advisor)
Thesis discusses natural houses which are supposed to be part of our lives in the future. These houses may be for someone and they might prefer smarter building with non-recyclable materials when choosing a new housing. But it is necessary to think about our future and sustainable development. We also need to tell ourselves what is really a priority for our planet. There comes a time when they will prefer building materials which can be used somehow after some time or be recycled. This is related to the design of the garden. It is designed to fulfil an ornamental, economic and social function. The garden is an integral part of each house, therefore it is important for each element used to be creating the garden as a linked harmonious whole. The study deals with the concept of a natural houses home in accordance with the maximum use of the garden.

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.

Design of Experiment for Non-Stationary Processes of Production
Jadrná, Monika ; Macák, Tomáš (advisor)
The doctoral thesis is concerned with the services sector and the area of mass production. Particularly, the optimization of the product portfolio of the travel agency and the optimization of production rounds of ammunition. The theoretical part deals with the current overview of discussed topic. Further, the terminology and methods of the decision-making process are defined to support decision making. The theoretical basis of research focused on the choice of appropriate input variables in the area of services, and on the choice of a particular material option in the production area and appropriate equipment for the production. The theoretical part forms the basis for the practical part of the thesis. For the doctoral thesis was chosen an enterprise operating in the defined sector. Product portfolio for the services sector is optimised using Fuzzy logic and Fuzzy sets so that the enterprise can maintain its competitiveness in todays highly ambitious market. Product portfolio for manufacture is optimised for achieving desired properties of the product. The main aim of the thesis is to propose a new methodological approach for the management of selected business processes in their nonstationary time course. The aim of the practical implementation is to verify the functionality of the proposed methodological approach, both in the area of services and in the field of mass production.

Relational Verification of Programs with Integer Data
Konečný, Filip ; Bouajjani, Ahmed (referee) ; Jančar, Petr (referee) ; Vojnar, Tomáš (advisor)
Tato práce představuje nové metody pro verifikaci programů pracujících s neomezenými celočíslenými proměnnými, konkrétně metody pro analýzu dosažitelnosti a~konečnosti. Většina těchto metod je založena na akceleračních technikách, které počítají tranzitivní uzávěry cyklů programu. V práci je nejprve představen algoritmus pro akceleraci několika tříd celočíselných relací. Tento algoritmus je až o čtyři řády rychlejší než existující techniky. Z teoretického hlediska práce dokazuje, že uvažované třídy relací jsou periodické a~poskytuje tudíž jednotné řešení prolému akcelerace. Práce dále představuje semi-algoritmus pro analýzu dosažitelnosti celočíselných programů, který sleduje relace mezi proměnnými programu a~aplikuje akcelerační techniky za účelem modulárního výpočtu souhrnů procedur. Dále je v práci navržen alternativní algoritmus pro analýzu dosažitelnosti, který integruje predikátovou abstrakci s accelerací s cílem zvýšit pravděpodobnost konvergence výpočtu. Provedené experimenty ukazují, že oba algoritmy lze úspěšně aplikovat k verifikaci programů, na kterých předchozí metody selhávaly. Práce se rovněž zabývá problémem konečnosti běhu programů a~dokazuje, že tento problém je rozhodnutelný pro několik tříd celočíselných relací. Pro některé z těchto tříd relací je v práci navržen algoritmus, který v polynomiálním čase vypočítá množinu všech konfigurací programu, z nichž existuje nekonečný běh. Tento algoritmus je integrován do metody, která analyzuje konečnost běhů celočíselných programů. Efektivnost této metody je demonstrována na několika netriviálních celočíselných programech.

Extensions to Probabilistic Linear Discriminant Analysis for Speaker Recognition
Plchot, Oldřich ; Fousek, Petr (referee) ; McCree,, Alan (referee) ; Burget, Lukáš (advisor)
Tato práce se zabývá pravděpodobnostními modely pro automatické rozpoznávání řečníka. Podrobně analyzuje zejména pravděpodobnostní lineární diskriminační analýzu (PLDA), která modeluje nízkodimenzionální reprezentace promluv ve formě \acronym{i--vektorů}.  Práce navrhuje dvě rozšíření v současnosti požívaného PLDA modelu. Nově navržený PLDA model s plným posteriorním rozložením  modeluje neurčitost při generování i--vektorů. Práce také navrhuje nový diskriminativní přístup k trénování systému pro verifikaci řečníka, který je založený na PLDA. Pokud srovnáváme původní PLDA s modelem rozšířeným o modelování  neurčitosti i--vektorů, výsledky dosažené s rozšířeným modelem dosahují až 20% relativního zlepšení při testech s krátkými nahrávkami. Pro delší  testovací segmenty  (více než jedna minuta) je zisk v přesnosti  menší, nicméně přesnost nového modelu není nikdy menší než přesnost výchozího systému.  Trénovací data jsou ale obvykle dostupná ve formě dostatečně dlouhých segmentů, proto v těchto případech použití nového modelu neposkytuje žádné výhody při trénování. Při trénování může být použit původní PLDA model a jeho rozšířená verze může být využita pro získání skóre v  případě, kdy se bude provádět testování na krátkých segmentech řeči. Diskriminativní model je založen na klasifikaci dvojic i--vektorů do dvou tříd představujících oprávněný a neoprávněný soud (target a non-target trial). Funkcionální forma pro získání skóre pro každý pár je odvozena z PLDA a trénování je založeno na logistické regresi, která minimalizuje vzájemnou entropii mezi správným označením všech soudů a pravděpodobnostním označením soudů, které navrhuje systém. Výsledky dosažené s diskriminativně trénovaným klasifikátorem jsou podobné výsledkům generativního PLDA, ale diskriminativní systém prokazuje schopnost produkovat lépe kalibrované skóre. Tato schopnost vede k lepší skutečné přesnosti na neviděné evaluační sadě, což je důležitá vlastnost pro reálné použití.