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Clustering and regression analysis of micro panel data
Sobíšek, Lukáš ; Pecáková, Iva (advisor) ; Komárek, Arnošt (referee) ; Brabec, Marek (referee)
The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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Infection risks of nursers at the inpatient wards
KUČÍRKOVÁ, Alena
Theoretical backround Working as a nurse is one the most human jobs, by serving to people, taking care and preserve health of a human, which is considered to be the highest value of human life for centuries. The aim of nurses is to take care of a human, to mitigate his or her symptoms and to comfort the life till its end if there is no possibility for full recovery. While they do previously described most of them are not aware of a need to take into account also their own health and especially protection against all dangerous microbes. In my bachelor thesis I analyse infection diseases sometimes also called occupational infections which are the most dangerous for nurses. All occupational infections are stated here together with their descriptions. In following parts of this thesis there are hygiene requirements on the workspace and finally in the last section hygienic-epidemic actions in a health care system are described. Objectives of this thesis Objective 1 Determine whether nurses comply with preventive actions against risks of infections. Objective 2 Determine whether nurses know risks of infections at patients departments. Objective 3 Determine whether nurses know how to defend their spread. Research questions Research Question 1: How do nurses protect themselves against risks of infections? Research Question 2: What information do nurses have about risks of infections in health care system? Research Question 3: In which way do nurses prevent the spread of infection to a de- partment? Methodology The bachelor thesis presents a qualitative research. Methods and techniques of a data collection, which we used in the work were participant observation and semi-structured interviews. The survey was carried out with 6 respondents in anesthesiology and resuscitation departments, surgical and internal intensive care units and intermediate care unit at Nemocnice České Budějvice a.s. The research method of an active observation was used during the survey. We observed certain facts that were recorded during the observation to a observation sheet (Appendix 4) and then transcribed and analysed. Data were collected using semi-structured interviews. The interview was conducted with the same respondents who were observed and recorded in a written form and then overwritten (Appendix 6). Results The results of the observations in the research study showed that nurses unfortunately do not comply with barrier nursing techniques as much as they should. The only thing that they fully comply with the overall finish, wear prescribed clothing and collection of biological material according to hygienic principles. Worse situation was in the using of protective equipment, disinfection and hand washing and eating food, where it did not comply 100%. In the next part of the research we focused on interviews with the observed respondents, the purpose was to find things that could not be identified by the only observing. The results showed that nurses do not even have much theoretical knowledge as regards to a occupational infection, or an injury treatment procedure when infected by an object. Conclusion The survey showed that while most nurses have a clue about good practices and knowledge of the occupational infections and hygienic-epidemiological measures ,but unfortunately theory is different from practice in which these things too oblivious. It emerged that unfortunately practice is different than the theory that we learn at universities and colleges.
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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.
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New Methods for Increasing Efficiency and Speed of Functional Verification
Zachariášová, Marcela ; Dohnal, Jan (referee) ; Steininger, Andreas (referee) ; Kotásek, Zdeněk (advisor)
Při vývoji současných číslicových systémů, např. vestavěných systému a počítačového hardware, je nutné hledat postupy, jak zvýšit jejich spolehlivost. Jednou z možností je zvyšování efektivity a rychlosti verifikačních procesů, které se provádějí v raných fázích návrhu. V této dizertační práci se pozornost věnuje verifikačnímu přístupu s názvem funkční verifikace. Je identifikováno několik výzev a problému týkajících se efektivity a rychlosti funkční verifikace a ty jsou následně řešeny v cílech dizertační práce. První cíl se zaměřuje na redukci simulačního času v průběhu verifikace komplexních systémů. Důvodem je, že simulace inherentně paralelního hardwarového systému trvá velmi dlouho v porovnání s během v skutečném hardware. Je proto navrhnuta optimalizační technika, která umisťuje verifikovaný systém do FPGA akcelerátoru, zatím co část verifikačního prostředí stále běží v simulaci. Tímto přemístěním je možné výrazně zredukovat simulační režii. Druhý cíl se zabývá ručně připravovanými verifikačními prostředími, která představují výrazné omezení ve verifikační produktivitě. Tato režie však není nutná, protože většina verifikačních prostředí má velice podobnou strukturu, jelikož využívají komponenty standardních verifikačních metodik. Tyto komponenty se jen upravují s ohledem na verifikovaný systém. Proto druhá optimalizační technika analyzuje popis systému na vyšší úrovni abstrakce a automatizuje tvorbu verifikačních prostředí tím, že je automaticky generuje z tohoto vysoko-úrovňového popisu. Třetí cíl zkoumá, jak je možné docílit úplnost verifikace pomocí inteligentní automatizace. Úplnost verifikace se typicky měří pomocí různých metrik pokrytí a verifikace je ukončena, když je dosažena právě vysoká úroveň pokrytí. Proto je navržena třetí optimalizační technika, která řídí generování vstupů pro verifikovaný systém tak, aby tyto vstupy aktivovali současně co nejvíc bodů pokrytí a aby byla rychlost konvergence k maximálnímu pokrytí co nejvyšší. Jako hlavní optimalizační prostředek se používá genetický algoritmus, který je přizpůsoben pro funkční verifikaci a jeho parametry jsou vyladěny pro tuto doménu. Běží na pozadí verifikačního procesu, analyzuje dosažené pokrytí a na základě toho dynamicky upravuje omezující podmínky pro generátor vstupů. Tyto podmínky jsou reprezentovány pravděpodobnostmi, které určují výběr vhodných hodnot ze vstupní domény. Čtvrtý cíl diskutuje, zda je možné znovu použít vstupy z funkční verifikace pro účely regresního testování a optimalizovat je tak, aby byla rychlost testování co nejvyšší. Ve funkční verifikaci je totiž běžné, že vstupy jsou značně redundantní, jelikož jsou produkovány generátorem. Pro regresní testy ale tato redundance není potřebná a proto může být eliminována. Zároveň je ale nutné dbát na to, aby úroveň pokrytí dosáhnutá optimalizovanou sadou byla stejná, jako u té původní. Čtvrtá optimalizační technika toto reflektuje a opět používá genetický algoritmus jako optimalizační prostředek. Tentokrát ale není integrován do procesu verifikace, ale je použit až po její ukončení. Velmi rychle odstraňuje redundanci z původní sady vstupů a výsledná doba simulace je tak značně optimalizována.
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Retargetable Analysis of Machine Code
Křoustek, Jakub ; Janoušek, Jan (referee) ; Návrat,, Pavol (referee) ; Kolář, Dušan (advisor)
Analýza softwaru je metodologie, jejímž účelem je analyzovat chování daného programu. Jednotlivé metody této analýzy je možné využít i v dalších oborech, jako je zpětné inženýrství, migrace kódu apod. V této práci se zaměříme na analýzu strojového kódu, na zjištění nedostatků existujících metod a na návrh metod nových, které umožní rychlou a přesnou rekonfigurovatelnou analýzu kódu (tj. budou nezávislé na konkrétní cílové platformě). Zkoumány budou dva typy analýz - dynamická (tj. analýza za běhu aplikace) a statická (tj. analýza aplikace bez jejího spuštění). Přínos této práce v rámci dynamické analýzy je realizován jako rekonfigurovatelný ladicí nástroj a dále jako dva typy tzv. rekonfigurovatelného translátovaného simulátoru. Přínos v rámci statické analýzy spočívá v navržení a implementování rekonfigurovatelného zpětného překladače, který slouží pro transformaci strojového kódu zpět do vysokoúrovňové reprezentace. Všechny tyto nástroje jsou založeny na nových metodách navržených autorem této práce. Na základě experimentálních výsledků a ohlasů od uživatelů je možné usuzovat, že tyto nástroje jsou plně srovnatelné s existujícími (komerčními) nástroji a nezřídka dosahují i lepších výsledků.
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Network-wide Security Analysis
de Silva, Hidda Marakkala Gayan Ruchika ; Šafařík,, Jiří (referee) ; Šlapal, Josef (referee) ; Švéda, Miroslav (advisor)
Práce představuje model a metody analýzy vlasností komunikace v počítačových sítích. Model dosažitelnosti koncových prvků v IP sítích je vytvořen na základě konfigurace a síťové topologie a umožňuje ukázat, že vabraný koncový uzel je dosažitelný v dané síťové konfiguraci a stavu. Prezentovaná práce se skládá ze dvou částí. První část se věnuje modelování sítí, chování směrovaích protokolů a síťové konfiguraci. V rámci modelu sítě byla vytvořena modifikovaná topologická tabulka (MTT), která slouží pro agregaci síťových stavů určených pro následnou analýzu. Pro analýzu byl použit přístup založený na logickém programování, kdy model sítě je převeden do Datalog popisu a vlastnosti jsou ověřovány kladením dotazů nad logickou databází. Přínosy práce spočívají v definici grafu síťových filtrů, modifikované topologické tabulce, redukce stavového prostoru agrgací síťových stavů, modelů aktivního síťového prvku jako filter-transformace komponenty a metoda pro analýzu dosažitelnosti založena na logickém programování a databázích.
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Methodology of highly reliable systems design
Straka, Martin ; Gramatová, Elena (referee) ; Racek, Stanislav (referee) ; Kotásek, Zdeněk (advisor)
In the thesis, a methodology alternative to existing methods of digital systems design with increased dependability implemented into FPGA is presented, new features which can be used in the implementation and testing of these systems are demonstrated. The research is based on the use of FPGA partial dynamic reconfiguration for the design of fault tolerant systems. In these applications, the partial dynamic reconfiguration can be used as a mechanism to correct the fault and recover the system after the fault occurrence. First, the general principles of diagnostics, testing and digital systems dependability are presented including a brief description of FPGA components and their architectures. Next, a survey of currently used methods and techniques used for the design and implementation of fault tolerant systems into FPGA is described, especially the methods used for fault detection and localization, their correction, together with the principles of evaluating fault tolerant systems design quality. The most important part of the thesis is seen in the description of the design methodology, implementation and testing of fault tolerant systems implemented into FPGAs which uses SRAMs as the configuration memory. First, the methodology of developing and automated checker components design for digital systems and communication protocols is presented. Then, a reference architecture of a dependable system implemented into FPGA is demonstrated including several fault tolerant architectures based on the use of partial dynamic reconfiguration as the mechanism of fault correction and the recovery from it. The principles of controlling the reconfiguration process are described together with the description of the test platform which allows to test and verify the design of fault tolerant systems based on the methodology presented in the thesis. The experimental results and the contribution of the thesis are discussed in the conclusions.
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Methodology of highly reliable systems design
Straka, Martin ; Kotásek, Zdeněk (advisor)
In the thesis, a methodology alternative to existing methods of digital systems design with increased dependability implemented into FPGA is presented, new features which can be used in the implementation and testing of these systems are demonstrated. The research is based on the use of FPGA partial dynamic reconfiguration for the design of fault tolerant systems. In these applications, the partial dynamic reconfiguration can be used as a mechanism to correct the fault and recover the system after the fault occurrence. First, the general principles of diagnostics, testing and digital systems dependability are presented including a brief description of FPGA components and their architectures. Next, a survey of currently used methods and techniques used for the design and implementation of fault tolerant systems into FPGA is described, especially the methods used for fault detection and localization, their correction, together with the principles of evaluating fault tolerant systems design quality. The most important part of the thesis is seen in the description of the design methodology, implementation and testing of fault tolerant systems implemented into FPGAs which uses SRAMs as the configuration memory. First, the methodology of developing and automated checker components design for digital systems and communication protocols is presented. Then, a reference architecture of a dependable system implemented into FPGA is demonstrated including several fault tolerant architectures based on the use of partial dynamic reconfiguration as the mechanism of fault correction and the recovery from it. The principles of controlling the reconfiguration process are described together with the description of the test platform which allows to test and verify the design of fault tolerant systems based on the methodology presented in the thesis. The experimental results and the contribution of the thesis are discussed in the conclusions.
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Intraday Dynamics of Euro Area Sovereign Credit Risk Contagion
Komárek, Luboš ; Ters, Kristyna ; Urban, Jörg
We examine the role of the CDS and bond markets during and before the recent euro area sovereign debt crisis as transmission channels for credit risk contagion between sovereign entities. We analyse an intraday dataset for GIIPS countries as well as Germany, France and central European countries. Our findings suggest that, prior to the crisis, the CDS and bond markets were similarly important in the transmission of financial shock contagion, but that the importance of the bond market waned during the crisis. We find flight-to-safety effects during the crisis in the German bond market that are not present in the pre-crisis sample. Our estimated sovereign risk contagion was greater during the crisis, with an average timeline of one to two hours in GIIPS countries. By using an exogenous macroeconomic news shock, we can show that, during the crisis period, increased credit risk was not related to economic fundamentals. Further, we find that central European countries were not affected by sovereign credit risk contagion, independent of their debt level and currency.
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