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Methods of Competitive Intelligence for chemical industrial companies
Lisová, Martina ; Molnár, Zdeněk (advisor) ; Kocánek, Marek (referee)
The content of this thesis is the introduction of Competitive Intelligence and its methods to companies in the chemical industry. The main objective of this work is to create particular solution of Competitive Intelligence for Lovochemie, a.s., i.e. to propose competent employee who will be periodically monitor the selected information resources using Competitive Intelligence software tools. The analyses were used to achieve this objective. At first analysis of the chemical industry was conducted in the Czech Republic and also in the world and analysis of the selected company has been created. Information resources that the company should follow through Competitive Intelligence tools were selected on the basis of this information. The first part deals with the introduction of Competitive Intelligence, intelligence cycle CI, strategic analysis methods and Competitive Intelligence tools for searching and monitoring of information on the Internet. The second part is devoted to the aforementioned analysis. At first the chemical industry is analysed and the world's biggest fertilizers producers are described. This section also introduces the company called Lovochemie, a.s., its competitors, suppliers and customers. In the last part of this thesis, the information resources available to the company and selected Competitive Intelligence tools are described. Finally, the particular solution for Lovochemie is created.
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Specifics of nursing care of a child patiens with oncological pain.
ČAŇKOVÁ, Helena
The topic of the thesis is: Specifics of nursing care of a child patient with oncologic pain. Children{\crq}s pain is a phenomenon surrounded by many myths and false information. It is also not sufficiently assessed and treated and often bagatelized by both nurses and doctors. Nurses play irreplaceable role in pain treatment, they are with the child patient more frequently then the doctor and are in close touch with the child{\crq}s parents. The care of a suffering child is a serious task in nursing. Treatment of a patient in pains requires a complex, holistic approach. Nurses, even if they diagnose pain properly, do not set an adequate nursing care plan and do not carry it out. Nurses have to defend interests of the sick child and must not let him/her suffer. The data was obtained by quantitative and qualitative research. The quantitative research was carried out by the technique of anonymous questionnaire. The questionnaire was made for the parents of children with oncologic disease. The qualitative research was carried out by the technique of semi-structured in-depth interview. The research sample consisted of nurses working at the Department of children{\crq}s oncology One of the aims of this thesis was to outline the problems in nursing care of a child patient with oncologic pain from the point of view of the parents. We observed if the parents had been informed about their child{\crq}s pain, if they know what symptoms they should watch in their child, if they know all the aspects of pain to be assessed and treatment methods to relieve the pain and also how nurses respond to their child{\crq}s pain. For this aim, a following hypothesis has been set forth: The parents of children patients with oncologic pain are educated about the possibilities of nursing care focused on relieving the pain. This hypothesis was confirmed by statistic testing. Another aim of this thesis was to find out the specifics of nursing care of a child patient with oncologic pain. Nurses think that the specifics of nursing care of a child patient with oncologic pain are not different from any other care of a child in pains. They just state that an oncologic disease is associated with pains caused by the disease itself or by diagnostic or therapeutic procedures. Therefore they consider a specific feature the fact that the pain is observed more intensively and the staff is more precise in relieving the pain. It is obvious from the research that it would be effective for both parties, both for the nurses and the parents, to use educational materials on pain intended for them. I suppose that if there were such materials available, the parents would not need to contact nurses repeatedly. There was also a positive finding in the research that 92.5% of parents stated that nurses respond to children{\crq}s pain within 10 minutes. Further, that nurses believe that the child has pains, which was stated by 98.2% of the parents.
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Comparison of Business Intelligence implementation using open source solutions for middle size companies
Schmidt, Róbert ; Maryška, Miloš (advisor) ; Sládek, Pavel (referee)
The main goal of master thesis is to analyze and propose possible low cost Business Intelligence solution with open source technologies and comparison of available tools for implementation in middle size company. We compare Pentaho and Jaspersoft tools implemented on local hardware and cloud environment with Microsoft Azure services. The theoretical part focuses mainly on understanding the business intelligence and its architecture, because architecture is an important part of the work. Actual tools are designed as stand alone modules for specific activities in the business intelligence lifecycle. Low cost tools are often connected with open source technologies and cloud computing. This part of the work contains explanation of these terms and their advantages and disadvantages for our chosen target group of companies. The analytical part includes defined parameters by which it is conducted analysis of tools and their comparison. Business Intelligence solutions are divided according to arcitectural layers. The evaluation criteria are divided into financial, technical and user category. In conclusion, chosen tools are compared and evaluated. The main contribution of this thesis is comparison of open source business intelligence tools for implementation in middle size company. According to the EU directive, middle size company does not exceed 250 employees or profit is less than 50 million euros. The reader can compare the different solutions and their pitfalls or shortcomings that could be critical for the implementation.
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Possibilities of Big Data use for Competitive Intelligence
Verníček, Marek ; Molnár, Zdeněk (advisor) ; Šperková, Lucie (referee)
The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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Height measurement in the northern area of mining areas Doubrava and Karviná Mines In 2016
Kajzar, Vlastimil ; Waclawik, Petr ; Staš, Lubomír
In the northern area of mining areas Doubrava and Karvina mines on the border RA Detmarovice and Doubrava are implemented, the mining activities. For this reason, in order to detect possible effects of the mine to the surface and surface objects twice a year height focuses, points in this area stable. From 2014 he was a contractor for these works chosen by the Institute of Geonics, v.v.i., Ostrava. In August and November 2016 survey conducted campaigns planned this year, during which it conducted a total of 4 highrise focus of inter-related leveling routes, which are formed by these points. Highrise points are stabilized in the area of interest in several ways - usually in steel design height marks on buildings, then as an iron bolt concreted in the ground or using nails driven into the concrete foundation or other alternative means. Distribution points in the area of interest is indicative captured in the map appendix. Existing trace and focus points are highlighted in green, yellow trace inaccessible points, refocused points in red and violet points that have occurred to their long term disablement or destruction. Each zaměřovaných points in order to trace the terrain carefully documented (GPS coordinates, photos, text description) and registered. These documents are available from the contractor.
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Modelling, parameter estimation, optimisation and control of transport and reaction processes in bioreactors.
ŠTUMBAUER, Václav
With the significant potential of microalgae as a major biofuel source of the future, a considerable scientific attention is attracted towards the field of biotechnology and bioprocess engineering. Nevertheless the current photobioreactor (PBR) design methods are still too empirical. With this work I would like to promote the idea of designing a production system, such as a PBR, completely \emph{in silico}, thus allowing for the in silico optimization and optimal control determination. The thesis deals with the PBR modeling and simulation. It addresses two crucial issues in the current state-of-the-art PBR modeling. The first issue relevant to the deficiency of the currently available models - the incorrect or insufficient treatment of either the transport process modeling, the reaction modeling or the coupling between these two models. A correct treatment of both the transport and the reaction phenomena is proposed in the thesis - in the form of a unified modeling framework consisting of three interconnected parts - (i) the state system, (ii) the fluid-dynamic model and (iii) optimal control determination. The proposed model structure allows prediction of the PBR performance with respect to the modelled PBR size, geometry, operating conditions or a particular microalgae strain. The proposed unified modeling approach is applied to the case of the Couette-Taylor photobioreactor (CTBR) where it is used for the optimal control solution. The PBR represents a complex multiscale problem and especially in the case of the production scale systems, the associated computational costs are paramount. This is the second crucial issue addressed in the thesis. With respect to the computational complexity, the fluid dynamics simulation is the most costly part of the PBR simulation. To model the fluid flow with the classical CFD (Computational Fluid Dynamics) methods inside a production scale PBR leads to an enormous grid size. This usually requires a parallel implementation of the solver but in the parallelization of the classical methods lies another relevant issue - that of the amount of data the individual nodes must interchange with each other. The thesis addresses the performance relevant issues by proposing and evaluation alternative approaches to the fluid flow simulation. These approaches are more suitable to the parallel implementation than the classical methods because of their rather local character in comparison to the classical methods - namely the Lattice Boltzmann Method (LBM) for fluid flow, which is the primary focus of the thesis in this regard and alternatively also the discrete random walk based method (DRW). As the outcome of the thesis I have developed and validated a new Lagrangian general modeling approach to the transport and reaction processes in PBR - a framework based on the Lattice Boltzmann method (LBM) and the model of the Photosynthetic Factory (PSF) that models correctly the transport and reaction processes and their coupling. Further I have implemented a software prototype based on the proposed modeling approach and validated this prototype on the case of the Coutte-Taylor PBR. I have also demonstrated that the modeling approach has a significant potential from the computational costs point of view by implementing and validating the software prototype on the parallel architecture of CUDA (Compute Unified Device Architecture). The current parallel implementation is approximately 20 times faster than the unparallized one and decreases thus significantly the iteration cycle of the PBR design process.
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The influence of nutrient loading, meteorological and hydrological conditions and operating manipulations on phytoplankton in the water suply reservoir Římov.
Hejzlar, Josef ; Jarošík, Jiří ; Nedoma, Jiří ; Seďa, Jaromír ; Znachor, Petr
Analysis of data collected during long-term and complex limnologic monitoring of the Římov reservoir in the period 1983 – 2015, which depict the development of physico-chemical conditions, hydrology and hydrodynamics of the reservoir with links to biological data on phytoplankton, zooplankton etc. showed that the concentration and species composition of phytoplankton depend on the supply and availability of nutrients, but are also influenced by climatic and hydrological conditions and water management operation of the reservoir.\n
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Information systems of secondary education
Charvátová, Jindřiška ; Vaněk, Jiří (advisor) ; Věra, Věra (referee)
This dissertation Information system of secondary education deals with a practical application of the information system used at the Secondary Vocational school of Gastronomy and Business in Prague, which mainly aims at the presentation of an overview, exploitation and assessment of information systems for secondary schools and based on a questionnaire survey suggests a solution to the given situation.
The theoretical part of the thesis shows a summary and application of the information systems for secondary schools based on secondary research of literature and available sources. The practical part is primarily targeted at research concerning practical application of the information system. The other part refers to a needs analysis of the pedagogical staff referring to the application of the school IS in the form of a questionnaire survey. Subsequent improvement proposals are made based on the outcome evaluation.
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Packet Classification Algorithms
Puš, Viktor ; Lhotka,, Ladislav (referee) ; Dvořák, Václav (advisor)
Tato práce se zabývá klasifikací paketů v počítačových sítích. Klasifikace paketů je klíčovou úlohou mnoha síťových zařízení, především paketových filtrů - firewallů. Práce se tedy týká oblasti počítačové bezpečnosti. Práce je zaměřena na vysokorychlostní sítě s přenosovou rychlostí 100 Gb/s a více. V těchto případech nelze použít pro klasifikaci obecné procesory, které svým výkonem zdaleka nevyhovují požadavkům na rychlost. Proto se využívají specializované technické prostředky, především obvody ASIC a FPGA. Neméně důležitý je také samotný algoritmus klasifikace. Existuje mnoho algoritmů klasifikace paketů předpokládajících hardwarovou implementaci, přesto však tyto přístupy nejsou připraveny pro velmi rychlé sítě. Dizertační práce se proto zabývá návrhem nových algoritmů klasifikace paketů se zaměřením na vysokorychlostní implementaci ve specializovaném hardware. Je navržen algoritmus, který dělí problém klasifikace na jednodušší podproblémy. Prvním krokem je operace vyhledání nejdelšího shodného prefixu, používaná také při směrování paketů v IP sítích. Tato práce předpokládá využití některého existujícího přístupu, neboť již byly prezentovány algoritmy s dostatečnou rychlostí. Následujícím krokem je mapování nalezených prefixů na číslo pravidla. V této části práce přináší vylepšení využitím na míru vytvořené hashovací funkce. Díky použití hashovací funkce lze mapování provést v konstantním čase a využít při tom pouze jednu paměť s úzkým datovým rozhraním. Rychlost tohoto algoritmu lze určit analyticky a nezávisí na počtu pravidel ani na charakteru síťového provozu. S využitím dostupných součástek lze dosáhnout propustnosti 266 milionů paketů za sekundu. Následující tři algoritmy uvedené v této práci snižují paměťové nároky prvního algoritmu, aniž by ovlivňovaly rychlost. Druhý algoritmus snižuje velikost paměti o 11 % až 96 % v závislosti na sadě pravidel. Nevýhodu nízké stability odstraňuje třetí algoritmus, který v porovnání s prvním zmenšuje paměťové nároky o 31 % až 84 %. Čtvrtý algoritmus kombinuje třetí algoritmus se starším přístupem a díky využití několika technik zmenšuje paměťové nároky o 73 % až 99 %.
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Methods for class prediction with high-dimensional gene expression data
Šilhavá, Jana ; Matula, Petr (referee) ; Železný, Filip (referee) ; Smrž, Pavel (advisor)
Dizertační práce se zabývá predikcí vysokodimenzionálních dat genových expresí. Množství dostupných genomických dat významně vzrostlo v průběhu posledního desetiletí. Kombinování dat genových expresí s dalšími daty nachází uplatnění v mnoha oblastech. Například v klinickém řízení rakoviny (clinical cancer management) může přispět k přesnějšímu určení prognózy nemocí. Hlavní část této dizertační práce je zaměřena na kombinování dat genových expresí a klinických dat. Používáme logistické regresní modely vytvořené prostřednictvím různých regularizačních technik. Generalizované lineární modely umožňují kombinování modelů s různou strukturou dat. V dizertační práci je ukázáno, že kombinování modelu dat genových expresí a klinických dat může vést ke zpřesnění výsledku predikce oproti vytvoření modelu pouze z dat genových expresí nebo klinických dat. Navrhované postupy přitom nejsou výpočetně náročné. Testování je provedeno nejprve se simulovanými datovými sadami v různých nastaveních a následně s~reálnými srovnávacími daty. Také se zde zabýváme určením přídavné hodnoty microarray dat. Dizertační práce obsahuje porovnání příznaků vybraných pomocí klasifikátoru genových expresí na pěti různých sadách dat týkajících se rakoviny prsu. Navrhujeme také postup výběru příznaků, který kombinuje data genových expresí a znalosti z genových ontologií.
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