PIM - uma técnica onde elementos computacionais são adicionados perto, ou idealmente, dentro de dispositivos de memória - foi uma das tentativas criadas durante os anos 1990 visando mitigar o notório memory wall problem. Hoje em dia, com o amadurecimento do processo de integração 3D, um novo horizonte para novas arquiteturas PIM pode ser explorado. Para investigar este novo cenário, pesquisadores dependem de simuladores em software para navegar pelo espaço de exploração de projeto. Hoje, a maioria dos trabalhos que focam em PIM, implementam simuladores locais para realizar seus experimentos. Porém, esta metodologia pode reduzir a produtividade e reprodutibilidade. Neste trabalho, nós mostramos o desenvolvimento de um simulador de PIM preciso, modular e parametrizável. Nosso simulador, chamado CLAPPS, visa a arquitetura de memória HMC, uma memória 3D popular, que é amplamente utilizada em aceleradores PIM do estado da arte. Nós desenvolvemos nosso mecanismo utilizando a linguagem de programação SystemC, o que permite uma simulação paralela nativamente. A principal contribuição do nosso trabalho se baseia em desenvolver a interface amigável que permite a fácil exploração de arquiteturas PIM. Para avaliar o nosso sistema, nós implementamos um modulo de PIM que pode executar operações vetoriais com diferente tamanhos de operandos utilizando o proposto conjunto de ferramentas. / PIM - a technique which computational elements are added close, or ideally, inside memory devices - was one of the attempts created during the 1990s to try to mitigate the memory wall problem. Nowadays, with the maturation of 3D integration technologies, a new landscape for novel PIM architectures can be investigated. To exploit this new scenario, researchers rely on software simulators to navigate throughout the design evaluation space. Today, most of the works targeting PIM implement in-house simulators to perform their experiments. However, this methodology might hurt overall productivity, while it might also preclude replicability. In this work, we showed the development of a precise, modular and parametrized PIM simulation environment. Our simulator, named CLAPPS, targets the HMC architecture, a popular 3D-stacked memory widely employed in state-of-the-art PIM accelerators. We have designed our mechanism using the SystemC programming language, which allows native parallel simulation. The primary contribution of our work lies in developing a user-friendly interface to allow easy PIM architectures exploitation. To evaluate our system, we have implemented a PIM module that can perform vector operations with different operand sizes using the proposed set of tools.

A competitividade no mercado atual, aliado a uma demanda por qualidade e produtividade dos produtos, tem gerado um aumento significativo no emprego de robôs nos processos produtivos das indústrias. Entretanto, estes equipamentos estão sujeitos a apresentar problemas, mais especificamente, erros de exatidão e repetitividade em suas operações. Nesse contexto, a proposta deste trabalho consiste em aperfeiçoar o entendimento da metodologia existente para avaliação de desempenho de robôs industriais, apresentada pela norma ISO 9283, "Manipulating industrial robots - Performance criteria and related test methods", de modo a viabilizar sua aplicabilidade em testes instrumentalizados para robôs industriais. O dispositivo de avaliação de desempenho elaborado consiste num sistema conhecido como cubo-berço, projetado, construído e aplicado em um robô industrial, pertencente ao laboratório de usinagem e robótica da Universidade Federal do Rio Grande do Sul - UFRGS. As características de exatidão e repetitividade unidirecionais de posicionamento foram mensuradas experimentalmente com base nos critérios constantes na norma específica. Os dados foram obtidos da medição dos erros tridimensionais entre as posições atingidas nos ensaios e as posições programadas no robô de teste, através de um sistema de medição prático e de baixo custo. O dispositivo de medição é constituído por três relógios digitais, montados ortogonalmente em cada eixo do sistema de coordenadas do robô, sob uma estrutura metálica rígida, e conectados a um sistema informatizado, para a coleta e registro dos dados. Os resultados apresentados se mostraram satisfatórios, viabilizando o uso da metodologia apresentada na norma, assim como, do dispositivo de avaliação de desempenho projetado neste estudo. / The competitiveness in the current market, ally to a demand for quality and productivity of the products, has generated a significant increase in the job of robots in the productive processes of the industries. However, these equipments can present some problems, more specifically, errors precision and repeatability errors in operations. The proposal of this paper consists of perfecting the agreement of the existing methodology for evaluation of industrial robots performance, presented for norm ISO 9283, "Manipulating industrial robots - Performance criteria and related test methods", to make possible its applicability in instrumentation tests for industrial robots. The projected device consists of a known system as cube-cradle, projected, constructed and applied in an industrial robot installed on the robotics laboratory of the Rio Grande do Sul Federal University - UFRGS. The precision and repeatability characteristics of positioning had been experimentally measures on the constant criteria basis in the specific norm. The data had been gotten of the three-dimensional measurement errors between the test positions reached and the robot programmed positions, through a practical measurement system and low cost. The measurement device is constituted by three digital gages, assembled in each axle of the robot coordinate basis system, under a metallic structure, and connected to a electronic system, for the data collection and registers. The presented results had shown satisfactory, making possible the use of the methodology presented in the norm, as well, of the projected device of performance evaluation in this study.

A competitividade no mercado atual, aliado a uma demanda por qualidade e produtividade dos produtos, tem gerado um aumento significativo no emprego de robôs nos processos produtivos das indústrias. Entretanto, estes equipamentos estão sujeitos a apresentar problemas, mais especificamente, erros de exatidão e repetitividade em suas operações. Nesse contexto, a proposta deste trabalho consiste em aperfeiçoar o entendimento da metodologia existente para avaliação de desempenho de robôs industriais, apresentada pela norma ISO 9283, "Manipulating industrial robots - Performance criteria and related test methods", de modo a viabilizar sua aplicabilidade em testes instrumentalizados para robôs industriais. O dispositivo de avaliação de desempenho elaborado consiste num sistema conhecido como cubo-berço, projetado, construído e aplicado em um robô industrial, pertencente ao laboratório de usinagem e robótica da Universidade Federal do Rio Grande do Sul - UFRGS. As características de exatidão e repetitividade unidirecionais de posicionamento foram mensuradas experimentalmente com base nos critérios constantes na norma específica. Os dados foram obtidos da medição dos erros tridimensionais entre as posições atingidas nos ensaios e as posições programadas no robô de teste, através de um sistema de medição prático e de baixo custo. O dispositivo de medição é constituído por três relógios digitais, montados ortogonalmente em cada eixo do sistema de coordenadas do robô, sob uma estrutura metálica rígida, e conectados a um sistema informatizado, para a coleta e registro dos dados. Os resultados apresentados se mostraram satisfatórios, viabilizando o uso da metodologia apresentada na norma, assim como, do dispositivo de avaliação de desempenho projetado neste estudo. / The competitiveness in the current market, ally to a demand for quality and productivity of the products, has generated a significant increase in the job of robots in the productive processes of the industries. However, these equipments can present some problems, more specifically, errors precision and repeatability errors in operations. The proposal of this paper consists of perfecting the agreement of the existing methodology for evaluation of industrial robots performance, presented for norm ISO 9283, "Manipulating industrial robots - Performance criteria and related test methods", to make possible its applicability in instrumentation tests for industrial robots. The projected device consists of a known system as cube-cradle, projected, constructed and applied in an industrial robot installed on the robotics laboratory of the Rio Grande do Sul Federal University - UFRGS. The precision and repeatability characteristics of positioning had been experimentally measures on the constant criteria basis in the specific norm. The data had been gotten of the three-dimensional measurement errors between the test positions reached and the robot programmed positions, through a practical measurement system and low cost. The measurement device is constituted by three digital gages, assembled in each axle of the robot coordinate basis system, under a metallic structure, and connected to a electronic system, for the data collection and registers. The presented results had shown satisfactory, making possible the use of the methodology presented in the norm, as well, of the projected device of performance evaluation in this study.

The International Space Station provides a high-quality of microgravity and extended exposure time which makes it a platform of choice for microgravity research. In order to increase accessibility of onboard experimentation, Space Applications Services will soon launch the ICE Cubes facility as part of its ICE Cubes Service. The facility is foreseen to host standardized plug-and-play payload cubes to reduce overall cost and procedure time required to install payloads on the station. To remotely support the facility it is decided to develop a utility cube named Cube-Zero that will be launched and installed with the facility on the station. This thesis work included the complete design, development and documentation of the cube. The thesis started by conducting a preliminary needs and market study from which two specific purposes were defined for the cube. In addition to its original function of support-utility, the cube is tasked to be a technical commercial demonstrator for the service. This led to the conceptual design of the cube as a multidisciplinary framework able to host two user-defined experiment modules. The preliminary concept was further refined in this paper and with support of prototypes, simulations and analyses led to a final functional design for the Cube-Zero. The work is concluded with the manufacturing of an engineering model of the cube. The model is fully operational, can support the test of the facility before launch and can demonstrate to users its versatility and ease of use in operating any kind of experiment module. Eventually, the information gathered in this thesis report will support future users into developing their own Cube-Zero payload module and guide Space Applications Services into manufacturing, testing and operating the Cube-Zero protoflight model. / ICE Cubes

Les systèmes d’aide à la décision existants sont modélisés selon un modèle multidimensionneldédié à l’analyse. Leurs principales limitations sont leur structure statique, leur volume et lefait qu’ils ne prennent pas en compte ni l’évolution des sources de données ni celle desbesoins d’analyse. Dans cette thèse, nous proposons une architecture dynamique pourl’analyse en ligne à la demande qui est différente d’un entreposage physique de données dansune base cible avec un modèle figé. Les données dans notre architecture peuvent continuer àévoluer et dans leur contenu et dans leur structure selon l’activité ou l’environnement qu’ellesdécrivent. Le recueil de données et leur structuration sous forme de contextes d’analyse se faitdonc au moment où l’on souhaite effectuer les diverses analyses envisagées. L’accès auxsources de données ne se fera alors qu’à ce moment.Pour pouvoir mettre en oeuvre cette architecture, nous envisageons une solution selon deuxgrands axes :– La construction d’un système d’intégration de données fondé sur une approche parmédiation. Afin de rendre la recherche de données pertinente, il fallait décrire defaçon plus proche de la réalité les sources de données. Pour cela, nous avons optépour l’utilisation des ontologies comme modèle de description des sources ainsique de leurs relations.– La mise en place d’un dispositif de création de contextes d’analyse à la demandesous forme de cubes de données. Ce dispositif est basé également sur l’utilisationde l’ontologie du domaine décisionnel et d’un entrepôt de cubes de données. / Current decisional systems are modelled according to a multidimensional model which, isdedicated to on-line analysis. Their principal limitations lie in their structure, their volume andthat they do not take into account data sources and analysis needs evolution. In this thesis, wepropose a dynamic architecture for on-line analysis on-the-fly which is different fromwarehousing data in a target base with a fixed model.In our architecture, data can continue to evolve in their sources according to the activity thatthey describe. Collecting and structuring data in analysis contexts is when we want to makeanalysis.To implement this architecture, we consider a solution composed of two main parts:- The construction of a data integration system by mediation based on ontologies.- The implementation of a dispositive to building analysis contexts on-the-fly which isbased on ontologies to describe the decisional domain.

The main goal of this thesis is to create a manual for planning application named Targetty appropriately so, for the academical purposes used at University of Economics, Prague and also to create a demo of this application for Vetrotech company. The goal is fulfilled through detailed analysis of the application and by describing its functionality via screenshots of the application and their description. The app demo is created on data model which was suggested for this purpose. This thesis can be divided into three main parts. The first part considers the issue of the enterprise planning by both the economical and the Business Intelligence points of view. The planning principles are demonstrated via examples and explained into detail. The second part is dedicated to analysis of the planning application called Targetty and in the last one a demo of application for Vetrotech company is created. This thesis proves that the planning application Targetty is a suitable application for small or medium companies. It also contains an application demo for Vetrotech company based on data model which may be used for creating a solution for any companies specializing in commercial industry.

The thesis focuses mainly on OLAP technology and its tools using to analyze corporate data. One of the objectives is to define the analytical tools market and provide an overview which shows the current situation concerning those tools on Business Intelligence (BI) market. Another objective is to obtain an overview of some current and future trends in the BI market. The main purpose of the thesis is to create a "methodology" for solving an BI analytical tasks using analytical services in SQL Server 2008 R2 from Microsoft. To achieve these objectives a theoretical analysis of available resources and, in particular consultation with employees of Clever Decision company is used. The main contribution of this work is the development of analytical database itself, which is divided into separate phases where each phase contains best practices and recommendations, including examples.

This work discusses shadowing methods, analyses them and describes implementation in DirectX 11 API. Theoretical part describes historical evolution of shadow usage in 3D applications and also analyzes shadowing algorithms. This work compares 2 variants of shadow mapping algorithm for omnidirectional lights, based on cube mapping and paraboloid projection, on demo application using quality, performance and implementation aspects.

This thesis deals with an evolutionary solving of the Rubik's cube. The worldwide known puzzle has been for several decades not only a toy for children and adults, but also almost a lifestyle for crowds of fans and definitely a big challenge in the world of computation, where scientists seek to find an effective automated solution. The potential for its solution could also be borne by evolutionary algorithms. The author of this thesis has developed an application employing, apart from genetic algorithms, also many advanced technics, such as linear genetic programming or local search. The goal of this special technics is to make the evolutionary process more effective. There have also been made tests of the crossover, the population size and the mutation probability influence. All the tests have been statistically evaluated.

A data warehouse (DW) is a transformation of many sources of transactional data integrated into a single collection that is non-volatile and time-variant that can provide decision support to managerial roles within an organization. For this application, the database server needs to process multiple users’ queries by joining various datasets and loading the result in main memory to begin calculations. In current systems, this process is reactionary to users’ input and can be undesirably slow. In previous studies, it was shown that a personalization scheme of a single user’s query patterns and loading the smaller subset into main memory the query response time significantly shortened the query response time. The LPCDA framework developed in this research handles multiple users’ query demands, and the query patterns are subject to change (so-called concept drift) and noise. To this end, the LPCDA framework detects changes in user behaviour and dynamically adapts the personalized smart cube definition for the group of users. Numerous data mart (DM)s, as components of the DW, are subject to intense aggregations to assist analytics at the request of automated systems and human users’ queries. Subsequently, there is a growing need to properly manage the supply of data into main memory that is in closest proximity to the CPU that computes the query in order to reduce the response time from the moment a query arrives at the DW server. As a result, this thesis proposes an end-to-end adaptive learning ensemble for resource allocation of cuboids within a a DM to achieve a relevant and timely constructed smart cube before the time in need, as a way of adopting the just-in-time inventory management strategy applied in other real-world scenarios. The algorithms comprising the ensemble involve predictive methodologies from Bayesian statistics, data mining, and machine learning, that reflect the changes in the data-generating process using a number of change detection algorithms. Therefore, given different operational constraints and data-specific considerations, the ensemble can, to an effective degree, determine the cuboids in the lattice of a DM to pre-construct into a smart cube ahead of users submitting their queries, thereby benefiting from a quicker response than static schema views or no action at all.