The aim of the thesis is to determinate the value of the company Czech airlines to 1.1.2012. In the beginning there is characteristic of the company and its history. In strategic analysis there is a valuation of long term prospects of the company and in the end there is an output of forecasting sales. Another chapter is focused on financial health of the company and prediction of the value generators and the financial plan. As the main method for the valuation of the company was used the method DCF entity. As the additional method was used the market comparison.

This article seeks to analyze the liability regulation of different agents which participate in public offer securities in Peru and the economic reasons for regulation for allocation of that liability. / El presente artículo busca analizar el tratamiento de la responsabilidad de los distintos actores que participan en una oferta públicade valores mobiliarios en el Perú y las razones económicas de la regulaciónpara la asignación de dicha responsabilidad.

O Reconhecimento de Entidades Mencionadas (REM) é uma subtarefa da extração de informações e tem como objetivo localizar e classificar elementos do texto em categorias pré-definidas tais como nome de pessoas, organizações, lugares, datas e outras classes de interesse. Esse conhecimento obtido possibilita a execução de outras tarefas mais avançadas. O REM pode ser considerado um dos primeiros passos para a análise semântica de textos, além de ser uma subtarefa crucial para sistemas de gerenciamento de documentos, mineração de textos, extração da informação, entre outros. Neste trabalho, estudamos alguns métodos de Aprendizado de Máquina aplicados na tarefa de REM que estão relacionados ao atual estado da arte, dentre eles, dois métodos aplicados na tarefa de REM para a língua portuguesa. Apresentamos três diferentes formas de avaliação destes tipos de sistemas presentes na literatura da área. Além disso, desenvolvemos um sistema de REM para língua portuguesa utilizando Aprendizado de Máquina, mais especificamente, o arcabouço de máxima entropia. Os resultados obtidos com o nosso sistema alcançaram resultados equiparáveis aos melhores sistemas de REM para a língua portuguesa desenvolvidos utilizando outras abordagens de aprendizado de máquina. / Named Entity Recognition (NER), a task related to information extraction, aims to classify textual elements according to predefined categories such as names, places, dates etc. This enables the execution of more advanced tasks. NER is a first step towards semantic textual analysis and is also a crucial task for systems of information extraction and other types of systems. In this thesis, I analyze some Machine Learning methods applied to NER tasks, including two methods applied to Portuguese language. I present three ways of evaluating these types of systems found in the literature. I also develop an NER system for the Portuguese language utilizing Machine Learning that entails working with a maximum entropy framework. The results are comparable to the best NER systems for the Portuguese language developed with other Machine Learning alternatives.

En esta tesis doctoral se describen las investigaciones realizadas con el objetivo de determinar las mejores tecnicas para construir un Reconocedor de Entidades Nombradas en Arabe. Tal sistema tendria la habilidad de identificar y clasificar las entidades nombradas que se encuentran en un texto arabe de dominio abierto. La tarea de Reconocimiento de Entidades Nombradas (REN) ayuda a otras tareas de Procesamiento del Lenguaje Natural (por ejemplo, la Recuperacion de Informacion, la Busqueda de Respuestas, la Traduccion Automatica, etc.) a lograr mejores resultados gracias al enriquecimiento que a~nade al texto. En la literatura existen diversos trabajos que investigan la tarea de REN para un idioma especifico o desde una perspectiva independiente del lenguaje. Sin embargo, hasta el momento, se han publicado muy pocos trabajos que estudien dicha tarea para el arabe. El arabe tiene una ortografia especial y una morfologia compleja, estos aspectos aportan nuevos desafios para la investigacion en la tarea de REN. Una investigacion completa del REN para elarabe no solo aportaria las tecnicas necesarias para conseguir un alto rendimiento, sino que tambien proporcionara un analisis de los errores y una discusion sobre los resultados que benefician a la comunidad de investigadores del REN. El objetivo principal de esta tesis es satisfacer esa necesidad. Para ello hemos: 1. Elaborado un estudio de los diferentes aspectos del arabe relacionados con dicha tarea; 2. Analizado el estado del arte del REN; 3. Llevado a cabo una comparativa de los resultados obtenidos por diferentes tecnicas de aprendizaje automatico; 4. Desarrollado un metodo basado en la combinacion de diferentes clasificadores, donde cada clasificador trata con una sola clase de entidades nombradas y emplea el conjunto de caracteristicas y la tecnica de aprendizaje automatico mas adecuados para la clase de entidades nombradas en cuestion. Nuestros experimentos han sido evaluados sobre nueve conjuntos de test. / Benajiba, Y. (2009). Arabic named entity recognition [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/8318 / Palancia

Whenever one designs a new database system, an Entity-Relationship Diagram (ER diagram) is always needed to present the structure of this database. Using the graphically well-arranged ER Diagram helps you to easily understand the entities, attributes, domains, primary keys, foreign keys, constraints, and relationships inside a database. This data-modeling tool is an ideal choice for companies and developers.

Orientador: Silvana Aparecida Borsetti Gregorio Vidotti / Resumo: A publicação de resultados de pesquisa com base no documento textual vem sendo considerada desde o século XVII como a principal via de comunicação científica. A chegada na Ciência do paradigma baseado nos dados e do movimento da Ciência Aberta inicia a demanda de publicação de outros ativos/assets de pesquisa de diferente natureza. Contrastamos a necessidade de novas vias e abordagens à publicação de forma que os ativos/assets possuam uma adequada descrição para garantir a encontrabilidade, o acesso, o reuso e a reprodutibilidade. Uma das vias para essa publicação é a publicação científica ampliada. Com base nas ferramentas fornecidas pelo método quadripolar, esta pesquisa analisa as transformações epistemológicas, teóricas e técnicas do processo de comunicação científica com o objetivo de formalizar um modelo para as publicações ampliadas, que considere os aspectos semióticos derivados da hibridação de linguagens neste tipo de publicação e dos relacionamentos entre as diferentes entidades que compõem a publicação. A análise parte da conceitualização da publicação ampliada como um espaço semiótico de topografia tanto homogênea quanto heterogênea, devido a sua composição por objetos de diferente natureza. Realiza-se um mapeamento de diferentes ambientes de publicação para extrair as entidades que podem compor uma publicação ampliada. Essas entidades, junto com a dimensão executável que representa e estabelece o processo de criação e lógica entre as entidades, conformam a base ... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: The publication of research results based on the textual document has been considered since the 17th century as the primary means of scientific communication. The arrival in Science of the paradigm based on data and the Open Science movement initiates the demand for publication of other research assets/assets of different nature. We contrast the need for new ways and approaches to the publication of assets to have an adequate description to ensure the findability, access, reuse and reproducibility. One of the avenues for this publication is the expanded scientific publication. Based on the tools provided by the quadripolar method, this research analyses the epistemological, theoretical and technical transformations of the scientific communication process. The main aim is to formalize a model for enhanced publications, which considers the semiotic aspects derived from the hybridization of languages in this type of publication and the relationships between the different entities that comprise the publication. The analysis starts from the conceptualization of enhanced publications as semiotic spaces of homogeneous and heterogeneous topography, due to their composition by objects of different nature. A mapping of different publication environments is performed to extract the entities that can compose an enhanced publication. These entities, together with the executable dimension that represents and establishes the creation process and logic between the entities, form the basis of... (Complete abstract click electronic access below) / Doutor

Protection of employees in the event of transfer of employer The master's theses deals with the topic of the transfer of rights and obligations from employment relationships and related institutes of protection of the employees affected by the transfer. The topic is regulated at the European Union tier by Council Directive 2001/23/EC of 12 March 2001 on the approximation of the laws of the Member States relating to the safeguarding of employees' rights in the event of transfers of undertakings, businesses or parts of undertakings or businesses, which has been transposed into national law as Section XV of Part Thirteen of Act No. 262/2006 Coll., the Labour Code. The thesis introduces both tiers of legislation, the relevant case law of the Court of Justice of the European Union and the Supreme Court of the Czech Republic and evaluates the implementation of the Directive 2001/23/EC into the national system. The first part of the work is an explanatory one as it describes the meaning of some of the fundamental labour law terms and contexts for the purposes of the following text. The second part introduces the transfer of an undertaking, business or part thereof under the Directive 2001/23/EC and formation of the rules by the Court of Justice of the European Union, in particular the development of the...

Game engines process a lot of data under strict deadlines. Therefore, measures to increase performance are important in this area. Data-Oriented Design (DOD) promotes principles that are meant to increase performance by better cache utilization. The purpose of this thesis is to examine a selection of these principles to give a better understanding of how DOD affects CPU time and the rate of cache misses, with focus on the area of game development. More specifically, the principles examined are removal of run-time polymorphism, iteration over contiguous data, and lowering the amount of data in hot loops. Also, the Entity-Component-System pattern is examined, which is based upon DOD principles. The approach was to first present a theoretical background on the subject, and then to conduct tests by implementing a simulation of movement and collision detection utilizing said principles. The tests were written in C++ and executed on an Intel Core i7 4770k with no rendering. CPU time was measured in updated entities per μs, and cache utilization was measured in the form of cache miss rate. The results showed that the DOD principles did increase performance. Cache miss rate was also lower, with the exception of when removing run-time polymorphism. The conclusion is that Data-Oriented Design, used in game development, is likely to result in better performance, mostly as a result of better cache utilization.

The diploma thesis focuses on the specification of suitability of legal entities to invest in securities "Exchange Traded Funds" in the current conditions of the Czech Republic. The results of the thesis serve to present alternative, modern ways to invest surplus money and get a new yield. Conclusions can be used by senior management of designated legal entities.

Text data collections enable the deployment of artificial intelligence algorithms for novel tasks. Such collections often contain miscellaneous personal data and other sensitive information that complicates sharing and further processing due to the personal data protection requirements. Searching for personal data is often carried out by sequential passes through the complete text. The objective of this thesis is to create a tool that helps the annotators decrease the risk of data leaks from the text collections. The tool utilizes pseudonymization (replacing a word with a different word, based on a set of rules). During the annotation process, the tool tags the words as "public", "private" and "candidate". The task of the annotator is to determine the role of the candidate words and detect any other untagged private information. The private words then become the subject of the pseudonymization process. The auto-tagging tool utilizes a named entity recognizer and a database of rules. The database is automatically improved based on the decisions of the annotator. Different named entity recognizers were compared for the purpose of personal data search on the collection of the ELITR project. During the comparison, a method was found which increased the sensitivity of the named entities detection which also...