966 resultados para Observational techniques and algorithms


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This thesis deals with efficient solution of optimization problems of practical interest. The first part of the thesis deals with bin packing problems. The bin packing problem (BPP) is one of the oldest and most fundamental combinatorial optimiza- tion problems. The bin packing problem and its generalizations arise often in real-world ap- plications, from manufacturing industry, logistics and transportation of goods, and scheduling. After an introductory chapter, I will present two applications of two of the most natural extensions of the bin packing: Chapter 2 will be dedicated to an application of bin packing in two dimension to a problem of scheduling a set of computational tasks on a computer cluster, while Chapter 3 deals with the generalization of BPP in three dimensions that arise frequently in logistic and transportation, often com- plemented with additional constraints on the placement of items and characteristics of the solution, like, for example, guarantees on the stability of the items, to avoid potential damage to the transported goods, on the distribution of the total weight of the bins, and on compatibility with loading and unloading operations. The second part of the thesis, and in particular Chapter 4 considers the Trans- mission Expansion Problem (TEP), where an electrical transmission grid must be expanded so as to satisfy future energy demand at the minimum cost, while main- taining some guarantees of robustness to potential line failures. These problems are gaining importance in a world where a shift towards renewable energy can impose a significant geographical reallocation of generation capacities, resulting in the ne- cessity of expanding current power transmission grids.

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In the field of industrial automation, there is an increasing need to use optimal control systems that have low tracking errors and low power and energy consumption. The motors we are dealing with are mainly Permanent Magnet Synchronous Motors (PMSMs), controlled by 3 different types of controllers: a position controller, a speed controller, and a current controller. In this thesis, therefore, we are going to act on the gains of the first two controllers by going to find, through the TwinCAT 3 software, what might be the best set of parameters. To do this, starting with the default parameters recommended by TwinCAT, two main methods were used and then compared: the method of Ziegler and Nichols, which is a tabular method, and advanced tuning, an auto-tuning software method of TwinCAT. Therefore, in order to analyse which set of parameters was the best,several experiments were performed for each case, using the Motion Control Function Blocks. Moreover, some machines, such as large robotic arms, have vibration problems. To analyse them in detail, it was necessary to use the Bode Plot tool, which, through Bode plots, highlights in which frequencies there are resonance and anti-resonance peaks. This tool also makes it easier to figure out which and where to apply filters to improve control.

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Ao longo dos últimos anos, as regras de associação têm assumido um papel relevante na extracção de informação e de conhecimento em base de dados e vêm com isso auxiliar o processo de tomada de decisão. A maioria dos trabalhos de investigação desenvolvidos sobre regras de associação têm por base o modelo de suporte e confiança. Este modelo permite obter regras de associação que envolvem particularmente conjuntos de itens frequentes. Contudo, nos últimos anos, tem-se explorado conjuntos de itens que surgem com menor frequência, designados de regras de associação raras ou infrequentes. Muitas das regras com base nestes itens têm particular interesse para o utilizador. Actualmente a investigação sobre regras de associação procuram incidir na geração do maior número possível de regras com interesse aglomerando itens raros e frequentes. Assim, este estudo foca, inicialmente, uma pesquisa sobre os principais algoritmos de data mining que abordam as regras de associação. A finalidade deste trabalho é examinar as técnicas e algoritmos de extracção de regras de associação já existentes, verificar as principais vantagens e desvantagens dos algoritmos na extracção de regras de associação e, por fim, desenvolver um algoritmo cujo objectivo é gerar regras de associação que envolvem itens raros e frequentes.

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Dissertação para obtenção do grau de Mestre em Engenharia Mecânica na Área de Manutenção e Produção

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para a obtenção do Grau de Mestre em Engenharia Informática

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The subject of this master’s thesis was developing a context-based reminder service for mobile devices. Possible sources of context were identified and analyzed. One such source is geographical location obtained via a GPS receiver. These receivers consume a lot of power and techniques and algorithms for reducing power consumptions were proposed and analyzed. The service was implemented as an application on a series 60 mobile phone. The application requirements, user interface and architecture are presented. The end-user experiences are discussed and possible future development and research areas are presented.

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This work presents an analysis of the method of intervention used in the craft of design by SEBRAE in Rio Grande do Norte under the viewpoint of the actors involved, especially the craftsmen and design consultants. The research methodology used was based on the ergonomic work analysis - AET, applying observational techniques and interactive. Data tabulated from the matrix to include comments were analyzed in order to allow the generation of qualitative and quantitative information. The results of this research allow us to affirm that for the process of innovation through the design of intervention are satisfactory for all involved, it is necessary that the bonds of interaction are established and the joint actions in the innovation process to bear fruit in favor sustainability of artisan groups

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In this work, the quantitative analysis of glucose, triglycerides and cholesterol (total and HDL) in both rat and human blood plasma was performed without any kind of pretreatment of samples, by using near infrared spectroscopy (NIR) combined with multivariate methods. For this purpose, different techniques and algorithms used to pre-process data, to select variables and to build multivariate regression models were compared between each other, such as partial least squares regression (PLS), non linear regression by artificial neural networks, interval partial least squares regression (iPLS), genetic algorithm (GA), successive projections algorithm (SPA), amongst others. Related to the determinations of rat blood plasma samples, the variables selection algorithms showed satisfactory results both for the correlation coefficients (R²) and for the values of root mean square error of prediction (RMSEP) for the three analytes, especially for triglycerides and cholesterol-HDL. The RMSEP values for glucose, triglycerides and cholesterol-HDL obtained through the best PLS model were 6.08, 16.07 e 2.03 mg dL-1, respectively. In the other case, for the determinations in human blood plasma, the predictions obtained by the PLS models provided unsatisfactory results with non linear tendency and presence of bias. Then, the ANN regression was applied as an alternative to PLS, considering its ability of modeling data from non linear systems. The root mean square error of monitoring (RMSEM) for glucose, triglycerides and total cholesterol, for the best ANN models, were 13.20, 10.31 e 12.35 mg dL-1, respectively. Statistical tests (F and t) suggest that NIR spectroscopy combined with multivariate regression methods (PLS and ANN) are capable to quantify the analytes (glucose, triglycerides and cholesterol) even when they are present in highly complex biological fluids, such as blood plasma

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Pós-graduação em Educação Escolar - FCLAR

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Pós-graduação em Ciência da Computação - IBILCE

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We present an implementation of the F-statistic to carry out the first search in data from the Virgo laser interferometric gravitational wave detector for periodic gravitational waves from a priori unknown, isolated rotating neutron stars. We searched a frequency f(0) range from 100 Hz to 1 kHz and the frequency dependent spindown f(1) range from -1.6(f(0)/100 Hz) x 10(-9) Hz s(-1) to zero. A large part of this frequency-spindown space was unexplored by any of the all-sky searches published so far. Our method consisted of a coherent search over two-day periods using the F-statistic, followed by a search for coincidences among the candidates from the two-day segments. We have introduced a number of novel techniques and algorithms that allow the use of the fast Fourier transform (FFT) algorithm in the coherent part of the search resulting in a fifty-fold speed-up in computation of the F-statistic with respect to the algorithm used in the other pipelines. No significant gravitational wave signal was found. The sensitivity of the search was estimated by injecting signals into the data. In the most sensitive parts of the detector band more than 90% of signals would have been detected with dimensionless gravitational-wave amplitude greater than 5 x 10(-24).

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In this work we will discuss about a project started by the Emilia-Romagna Regional Government regarding the manage of the public transport. In particular we will perform a data mining analysis on the data-set of this project. After introducing the Weka software used to make our analysis, we will discover the most useful data mining techniques and algorithms; and we will show how these results can be used to violate the privacy of the same public transport operators. At the end, despite is off topic of this work, we will spend also a few words about how it's possible to prevent this kind of attack.

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En la actualidad existe una gran expectación ante la introducción de nuevas herramientas y métodos para el desarrollo de productos software, que permitirán en un futuro próximo un planteamiento de ingeniería del proceso de producción software. Las nuevas metodologías que empiezan a esbozarse suponen un enfoque integral del problema abarcando todas las fases del esquema productivo. Sin embargo el grado de automatización conseguido en el proceso de construcción de sistemas es muy bajo y éste está centrado en las últimas fases del ciclo de vida del software, consiguiéndose así una reducción poco significativa de sus costes y, lo que es aún más importante, sin garantizar la calidad de los productos software obtenidos. Esta tesis define una metodología de desarrollo software estructurada que se puede automatizar, es decir una metodología CASE. La metodología que se presenta se ajusta al modelo de ciclo de desarrollo CASE, que consta de las fases de análisis, diseño y pruebas; siendo su ámbito de aplicación los sistemas de información. Se establecen inicialmente los principios básicos sobre los que la metodología CASE se asienta. Posteriormente, y puesto que la metodología se inicia con la fijación de los objetivos de la empresa que demanda un sistema informático, se emplean técnicas que sirvan de recogida y validación de la información, que proporcionan a la vez un lenguaje de comunicación fácil entre usuarios finales e informáticos. Además, estas mismas técnicas detallarán de una manera completa, consistente y sin ambigüedad todos los requisitos del sistema. Asimismo, se presentan un conjunto de técnicas y algoritmos para conseguir que desde la especificación de requisitos del sistema se logre una automatización tanto del diseño lógico del Modelo de Procesos como del Modelo de Datos, validados ambos conforme a la especificación de requisitos previa. Por último se definen unos procedimientos formales que indican el conjunto de actividades a realizar en el proceso de construcción y cómo llevarlas a cabo, consiguiendo de esta manera una integridad en las distintas etapas del proceso de desarrollo.---ABSTRACT---Nowdays there is a great expectation with regard to the introduction of new tools and methods for the software products development that, in the very near future will allow, an engineering approach in the software development process. New methodologies, just emerging, imply an integral approach to the problem, including all the productive scheme stages. However, the automatization degree obtained in the systems construction process is very low and focused on the last phases of the software lifecycle, which means that the costs reduction obtained is irrelevant and, which is more important, the quality of the software products is not guaranteed. This thesis defines an structured software development methodology that can be automated, that is a CASE methodology. Such a methodology is adapted to the CASE development cycle-model, which consists in analysis, design and testing phases, being the information systems its field of application. Firstly, we present the basic principies on which CASE methodology is based. Secondly, since the methodology starts from fixing the objectives of the company demanding the automatization system, we use some techniques that are useful for gathering and validating the information, being at the same time an easy communication language between end-users and developers. Indeed, these same techniques will detail completely, consistently and non ambiguously all the system requirements. Likewise, a set of techniques and algorithms are shown in order to obtain, from the system requirements specification, an automatization of the Process Model logical design, and of the Data Model logical design. Those two models are validated according to the previous requirement specification. Finally, we define several formal procedures that suggest which set of activities to be accomplished in the construction process, and how to carry them out, getting in this way integrity and completness for the different stages of the development process.

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The artisan fishing activity, which involves historical - cultural, environmental, social, political, economi c, among other factors, presents, nowadays, as an important source of income, creating jobs and food, contributing to the permanence of man in their own birthplace. However, the fish, considered one of the most perishable foods, requires a proper handling and conservation, from capture to its availability in the market, in order to slow the deterioration process. Thereby, this dissertation aims to study the effect of the manipulation practices on fish quality, from capture to its landing on the beach, resul ting from fisherman’s activity from Ponta Negra - Natal/RN. It also presents the purpose of analyzing the quality of the fish and propose recommendations for their proper handling and possible solutions to add value to the product, through the improvement of the quality and good handling practices. For this purpose, the methodology used was based on ergonomic analysis of their work through observational techniques and interactional with the focus group, the jangadeiros, to understand their activity and eval uated the freshness and quality of the fish by sensory analysis, and microbiological parameters and physicochemical from existing legislation Ordinance No. 185 of May 13, 1997 and RIISPOA - amended on December 1, 2007 and RDC No. 12, dated January 2, 2001. According to the results obtained in laboratory tests, it can be established, the acceptable quality of fish as the existing rules and regulations parameters , not getting significant deterioration caused by poor handling and improper storage of fish.

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The results of the research systematized on this analysis sought apprehend the linkage of the socio-educational service network, destined to adolescents who comply with socioeducational measure of confinement, in the region of the Seridó of the state of the Rio Grande do Norte, especially in the city of Caicó, central town of this region. The achievement of this study was stimulated by the interest in unraveling the contradictory reality imposed by neoliberal State, sparing the guarantee of rights, especially to these teens, who are seen as authors of violations and are stigmatized by capitalist society. The research was carried in the period July-September 2013, under critical perspective, using the documental analysis and the observational techniques and interviews with professionals of the Educational Center (CEDUC), of the Unified Health System (SUS), of the Social Policies of Social Assistance, and of the State Department of Education, which should make the service network that gravitates around the National System of Socio-educational Services (SINASE). The Statute of Children and Adolescents (ECA) and SINASE define that the application of socioeducational measures cannot occur isolated of the public policies, becoming indispensable the linkages of the system with the social policies of social assistance, education and health. However, it was observed that the neoliberal logic of the capitalist State has developed broken, disconnected, focal and superficial social policies, who fail give effect to the rights acquired beyond the legal sphere. In this perspective, it is possible affirm that the everyday of the Brazilian poor teens is marked by the action of the State, which aims to control those who disturb the order of capital, who threaten the production, the market, the consume and the private property. This way, actions are promoted criminalizing poverty and imprint a legal action over this expression of the social issue to the detriment of social policies that meet the real needs of adolescents. Face of this reality, it becomes necessary to put on the agenda of the here and now to fight for rights, aiming at a broad public debate involving professionals, researchers and social movements in support of the viability of rights, which aims to support reflections and to strengthen ways to confront this social problem. With the approximations of this study, it was learned that the struggle for rights is a fight for another project of society, beyond what is laid.