Orientadores: Paulo Morelato França, Celso Cavelucci / Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação / Made available in DSpace on 2018-08-23T09:06:37Z (GMT). No. of bitstreams: 1 Almeida_Joselainede_M.pdf: 6148218 bytes, checksum: 1ef511889e4a35f380f54407917e0268 (MD5) Previous issue date: 2013 / Resumo: As concessionárias de energia elétrica devem projetar adequadamente as redes de distribuição, incluindo: definição da localização e capacidade dos transformadores; definição dos traçados de rede primária (15 kV) e de rede secundária (127/220V); e definição e instalação de elementos construtivos, tais como postes, estruturas primárias, estruturas secundárias, transformadores. Projetar estas redes é uma tarefa complexa e demorada que exige amplo conhecimento das normas técnicas e experiência por parte dos projetistas. Neste trabalho é proposto um Sistema de Apoio à Decisão (SAD) para projetos de redes aéreas de distribuição de energia elétrica, englobando as diversas etapas de especificação do projeto. Também é detalhado um sistema especialista para definição dos elementos construtivos (módulo de projeto de execução da rede). Os ganhos potenciais desta abordagem são avaliados em estudos de caso de diversos tipos de projetos. Os principais benefícios da utilização do SAD são: diminuição da dispersão das soluções de projeto; diminuição dos erros; soluções de menor custo e redução no tempo de elaboração dos projetos / Abstract: Electric power companies must design distribution networks, which is a task that includes: the determination of the capacity and position of distribution transformers; the routing of primary feeders (15 kV) and secondary distribution circuits (127/220V); and the selection and installation of constructive elements such as poles, primary structures, secondary structures, street transformers. The design of these networks is a complex and demanding task that requires a great knowledge about technical norms and experience from the network designers. This thesis presents a Decision Support System (DSS) to assist designers to elaborate the several steps of the distribution networks projects specification. An expert system that defines the constructive elements (Network Execution Project module) is also proposed. The advantages of this approach are evaluated through case studies based on different types of projects. The benefits of this DSS are the less variation of project solutions and the reduction of errors, solution costs and completion time / Mestrado / Automação / Mestra em Engenharia Elétrica

Orientadores: Bruno Coraucci Filho, Antonio Carlos Zuffo / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Civil, Arquitetura e Urbanismo / Made available in DSpace on 2018-08-18T19:55:33Z (GMT). No. of bitstreams: 1 Reami_Luciano_D.pdf: 2591741 bytes, checksum: 95ef60f5829d1546c834b6d43c144726 (MD5) Previous issue date: 2011 / Resumo: Baseado em projetos de estações de tratamento de esgotos implantados e a implantar, foi realizado uma pesquisa de custos de implantação de 8 modalidades, tendo os valores tratados na forma de custos unitários por capacidade de tratamento, em termos de "R$/m3.d-1 de capacidade". Foram compostos valores unitários de custos de operação e manutenção dos sistemas pesquisados em termos de "R$/m3 tratado". Além dos custos unitários, foram pesquisados critérios utilizados para o auxílio à tomada de decisão, para uma determinada comunidade, e aplicados em um estudo de caso para o município de Restinga-SP. Utilizou-se três métodos de auxílio à tomada de decisão, o MAUT, o CP e o CGT, com 20 alternativas, sendo 4 delas considerando-se a adaptação do sistema existente, e aplicados 94 questionários para valoração dos critérios por atores envolvidos na tomada de decisão. Os resultados indicaram que o custo unitário de implantação é reduzido na medida em que se eleva a capacidade do sistema. Para os custos operacionais em termos percentuais, concluiu-se entre outras, que a energia elétrica e a remoção e destinação de lodo são bastante significativos. Os métodos muticriteriais aplicados apresentaram resultados semelhantes apenas para a opinião do representante da Prefeitura Municipal, e para os demais ocorreram variações entre as 1ª e 2ª ordem de preferência. As alternativas de melhor compromisso entre os opinantes corresponderam à conversão da lagoa anaeróbia existente em aerada facultativa e implantação de terceira lagoa facultativa em área ao lado da ETE existente, implantação de lagoa facultativa seguida de lagoa de maturação, e implantação de lagoa aerada seguida de lagoa de decantação (aerada de mistura completa) / Abstract: Based on existing and new sewage treatment plant projects, a research on the implementation costs of 8 sewage treatment modes was executed resulting in unit costs per treatment capacity, in terms of "R$ / m3. d-1 of capacity." Unit values were composed of operating and maintenance costs of the surveyed systems, in terms of "R$ / m3 treated". In addition to unit costs, criteria that can be taken into account to support decision making for a specific community were researched and applied on a case study for the city of Restinga-SP. Three decision making support systems were used, MAUT, CP and CGT, with 20 alternatives, 4 of them considering the adaptation of the existing system, and the undertaking of 94 questionnaires for the valuation of the criteria by actors involved in the decision making process. The results indicated that the unit cost of implementation is reduced as the system capacity is enhanced. In regard to the operating costs it was possible to observe that the electricity and the removal and disposal of sludge were quite significant. The multicriteria methods presented similar results only in the opinion of the municipal representatives, in the other cases a difference was noted between the 1st and 2nd order of preference. The alternatives of best compromise between personal opinions corresponded to the conversion of the existing anaerobic pond into an aerated facultative and third facultative pond using an area next to the existing WWTP, implementation of facultative pond followed by maturation pond, and aerated pond (complete mix aerated) with decantation pond / Doutorado / Saneamento e Ambiente / Doutor em Engenharia Civil

Orientador: Antonio Batocchio / Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia mecanica / Made available in DSpace on 2018-08-04T09:12:59Z (GMT). No. of bitstreams: 1 Georges_MarcosRicardoRosa_D.pdf: 14421475 bytes, checksum: 9b0d8a6e3f4ee6f70d22ca5d2e3ec27f (MD5) Previous issue date: 2005 / Resumo: O presente trabalho propõe uma metodologia para conduzir o analista de simulação à criação dos modelos conceituais que são utilizados na simulação de sistema em eventos discretos. A modelagem conceitual é considerada uma das etapas mais importantes e complexas de um projeto de simulação, pois se trata de uma atividade que depende, exclusivamente, da habilidade do analista. Esta metodologia é composta de etapas que são baseadas em princípios gerais sobre modelagem que foram propostos por diversos autores. Algumas considerações sobre a coleta de dados são feitas, incluindo a aquisição do conhecimento e técnicas estatísticas de amostragem a serem utilizadas. Ao final é apresentado um estudo de caso em que a metodologia foi aplicada com sucesso, ilustrando e tomando mais fácil o entendimento da metodologia proposta / Abstract: This work proposes a methodology to lead the simulation analyst during the conceptual models creation which is used in discrete-event system simulation. The conceptual modeling is considered the most important and complex step in a simulation project because this activity depends on the analyst ability exclusively. This methodology is composed by steps which are based on general modeling principIes proposed by many authors. Some considerations about data collection are presented, including knowledge acquisition and statistical sampling techniques. At the end, a case study is shown, making easier its understanding / Doutorado / Materiais e Processos de Fabricação / Doutor em Engenharia Mecânica

Avec le développement du cloud computing, de nouveaux services voient le jour et il devient primordial que les utilisateurs aient les outils nécessaires pour choisir parmi ses services. La théorie des ensembles approximatifs représente un bon outil de traitement de données incertaines. Elle peut exploiter les connaissances cachées ou appliquer des règles sur des ensembles de données. Le but principal de cette thèse est d'utiliser la théorie des ensembles approximatifs pour aider les utilisateurs de cloud computing à prendre des décisions. Dans ce travail, nous avons, d'une part, proposé un cadre utilisant la théorie des ensembles approximatifs pour la sélection de services cloud et nous avons donné un exemple en utilisant les ensembles approximatifs dans la sélection de services cloud pour illustrer la pratique et analyser la faisabilité de cette approche. Deuxièmement, l'approche proposée de sélection des services cloud permet d’évaluer l’importance des paramètres en fonction des préférences de l'utilisateur à l'aide de la théorie des ensembles approximatifs. Enfin, nous avons effectué des validations par simulation de l’algorithme proposé sur des données à large échelle pour vérifier la faisabilité de notre approche en pratique. Les résultats de notre travail peuvent aider les utilisateurs de services cloud à prendre la bonne décision et aider également les fournisseurs de services cloud pour cibler les améliorations à apporter aux services qu’ils proposent dans le cadre du cloud computing / With the development of the cloud computing technique, users enjoy various benefits that high technology services bring. However, there are more and more cloud service programs emerging. So it is important for users to choose the right cloud service. For cloud service providers, it is also important to improve the cloud services they provide, in order to get more customers and expand the scale of their cloud services.Rough set theory is a good data processing tool to deal with uncertain information. It can mine the hidden knowledge or rules on data sets. The main purpose of this thesis is to apply rough set theory to help cloud users make decision about cloud services. In this work, firstly, a framework using the rough set theory in cloud service selection is proposed, and we give an example using rough set in cloud services selection to illustrate and analyze the feasibility of our approach. Secondly, the proposed cloud services selection approach has been used to evaluate parameters importance based on the users’ preferences. Finally, we perform experiments on large scale dataset to verity the feasibility of our proposal.The performance results can help cloud service users to make the right decision and help cloud service providers to target the improvement about their cloud services

Purpose:  The purpose of this study is to analyze the perceived impact of business intelligence tools on marketing success. Methodology:  This research has conducted based on a literature study in the field business intelligence and pharmaceutical industry marketing. Primary  data  has  been  used  in  this  thesis  to  evaluate  the information technology impact on the  market performance for pharmaceutical industries. The SPSS software package is used to analyze the employee responses and statistical technique. Regression analysis is used to check the impact of information technology on market performance. Findings: One hundred fifty questionnaires were given to the employees of 15 different pharmaceutical companies located in Pakistan. Among them, 104 were collected back and 100 questionnaires were considered valid and used for further analysis. After analyzing the data, it was evaluated that information technology has a significant impact on market performance in pharmaceutical industries. According to the stakeholders, strategic planning, organizational support, knowledge management and technological advancement have significant impact on the success of information technology for decision support systems. Research limitations/Implications: More research will be required on the theory presented in this thesis “The Perceived Impact of Business Intelligence Tools on Marketing Success”.

L'explosion récente de données d'imagerie cardiaque a été phénoménale. L'utilisation intelligente des grandes bases de données annotées pourrait constituer une aide précieuse au diagnostic et à la planification de thérapie. En plus des défis inhérents à la grande taille de ces banques de données, elles sont difficilement utilisables en l'état. Les données ne sont pas structurées, le contenu des images est variable et mal indexé, et les métadonnées ne sont pas standardisées. L'objectif de cette thèse est donc le traitement, l'analyse et l'interprétation automatique de ces bases de données afin de faciliter leur utilisation par les spécialistes de cardiologie. Dans ce but, la thèse explore les outils d'apprentissage automatique supervisé, ce qui aide à exploiter ces grandes quantités d'images cardiaques et trouver de meilleures représentations. Tout d'abord, la visualisation et l'interprétation d'images est améliorée en développant une méthode de reconnaissance automatique des plans d'acquisition couramment utilisés en imagerie cardiaque. La méthode se base sur l'apprentissage par forêts aléatoires et par réseaux de neurones à convolution, en utilisant des larges banques d'images, où des types de vues cardiaques sont préalablement établies. La thèse s'attache dans un deuxième temps au traitement automatique des images cardiaques, avec en perspective l'extraction d'indices cliniques pertinents. La segmentation des structures cardiaques est une étape clé de ce processus. A cet effet une méthode basée sur les forêts aléatoires qui exploite des attributs spatio-temporels originaux pour la segmentation automatique dans des images 3Det 3D+t est proposée. En troisième partie, l'apprentissage supervisé de sémantique cardiaque est enrichi grâce à une méthode de collecte en ligne d'annotations d'usagers. Enfin, la dernière partie utilise l'apprentissage automatique basé sur les forêts aléatoires pour cartographier des banques d'images cardiaques, tout en établissant les notions de distance et de voisinage d'images. Une application est proposée afin de retrouver dans une banque de données, les images les plus similaires à celle d'un nouveau patient. / The recent growth of data in cardiac databases has been phenomenal. Cleveruse of these databases could help find supporting evidence for better diagnosis and treatment planning. In addition to the challenges inherent to the large quantity of data, the databases are difficult to use in their current state. Data coming from multiple sources are often unstructured, the image content is variable and the metadata are not standardised. The objective of this thesis is therefore to simplify the use of large databases for cardiology specialists withautomated image processing, analysis and interpretation tools. The proposed tools are largely based on supervised machine learning techniques, i.e. algorithms which can learn from large quantities of cardiac images with groundtruth annotations and which automatically find the best representations. First, the inconsistent metadata are cleaned, interpretation and visualisation of images is improved by automatically recognising commonly used cardiac magnetic resonance imaging views from image content. The method is based on decision forests and convolutional neural networks trained on a large image dataset. Second, the thesis explores ways to use machine learning for extraction of relevant clinical measures (e.g. volumes and masses) from3D and 3D+t cardiac images. New spatio-temporal image features are designed andclassification forests are trained to learn how to automatically segment the main cardiac structures (left ventricle and left atrium) from voxel-wise label maps. Third, a web interface is designed to collect pairwise image comparisons and to learn how to describe the hearts with semantic attributes (e.g. dilation, kineticity). In the last part of the thesis, a forest-based machinelearning technique is used to map cardiac images to establish distances and neighborhoods between images. One application is retrieval of the most similar images.

Recent innovations in the information technology and computing devices magnified the volume of available information. Today’s decision makers face the challenge of analyzing ever more data in shorter timeframes. Demand for technology that can efficiently assist systematic data analysis is constantly growing. Development of dedicated information systems is, however, difficult both from organizational and technological point of view. First, traditional software production is a complex and time-consuming process that can not be performed under time-pressure. Second, changing business conditions and evolving stakeholder needs require solutions that can be efficiently tailored over time. Finally, costs of custom software development are high, so that not all use cases and scenarios can be covered sufficiently. This thesis proposes a holistic approach to address the challenges above and to enable efficient development of decision support software. The main idea is to empower end users, i.e., decision makers, in constructing their own case-specific solutions. The proposed approach called Web-Composition for End-User Development consists of a systematic process for development and evolution of decision support systems, assistance mechanisms to address lack of programming skills by decision makers and evolution facilities to enable cost- and time-efficient extensibility of user-produced solutions. The thesis describes implementation of the devised principles and ideas in the context of several open-source projects and application scenarios. Applicability and usability of the concepts are demonstrated in user studies with respective target groups. Based on the outcome analysis the thesis concludes that end users can and should actively participate in construction of decision support software.

Data-driven decision support systems, such as data warehouses, are extremely costly to develop. Forty one per cent of data warehouse development practitioners have experienced project failures. These projects were either completed after exceeding budget and time limits, or not at all. Some influential data warehousing authors advocate user involvement as a solution, while others focus on technical factors to improve data warehouse success. This study proposes a framework for data warehousing success based on systems thinking methodology. Systems thinking implies a holistic approach to problem solving. A system is a set of interrelated elements. A systems approach represents a broad view, taking all aspects into account and concentrating on interactions between different parts of the problem. This study investigates the practices of data warehousing professionals from a systems thinking point of view, before proposing a framework for the explicit use of specific systems thinking methodologies in data warehouse development. Interpretive case study research is used to investigate practices of data warehousing professionals in three different organisations. Pattern matching is used to analyse collected data. This is done by mapping practices to different systems thinking perspectives. However, the theory component of the thesis is not a description of current data warehousing practices from a systems thinking point of view, as in typical interpretive research. The theory component relates more to critical research in that it is meant to change data warehousing practices towards specific systems thinking methodologies. The proposed framework incorporates three sources of information. These are a literature study on systems thinking philosophy, methodology and practice; a literature study on data warehousing and data warehousing success factors; and the results of case studies on current practices of data warehousing professionals analysed from a systems thinking perspective. The framework gives a methodological foundation for a holistic approach to data warehousing with maximum user involvement. It views a data warehouse as a system with typical systems characteristics, such as specified objectives relating to the organisation’s objectives, an environment, available resources, specified components and effective management. / Thesis (PhD (Information Technology))--University of Pretoria, 2006. / Informatics / unrestricted

Introduction :La télésurveillance des stimulateurs cardiaques et défibrillateurs sera à terme le standard pour le suivi des patients implantés. Pourtant, des alertes très nombreuses sont générées par ces dispositifs, et constituent un fardeau pour la prise en charge médicale. De plus, les alertes générées le sont indépendamment du contexte médical individuel du patient, et elles pourraient donc être mieux caractérisées. Cette thèse propose un outil de traitement automatique des alertes générées par la survenue de fibrillation atriale, et basé sur une modélisation des connaissances médicales de type ontologie en OWL2. En particulier, le score de risque cardio-embolique CHA2DS2VASc a été évalué par le biais de l’ontologie, ainsi que le statut d’anticoagulation du patient. Matériel et Méthodes :Une ontologie d’application a été créée en OWL2, afin de représenter les concepts nécessaires au raisonnement sur les alertes. Cette ontologie a été utilisée pour raisonner sur 1783 alertes de FA détectées chez 60 porteurs de stimulateurs cardiaques. Les alertes ont été classées automatiquement selon leur importance d’après une échelle de gravité de 1 à 4. La classification automatique a été comparée à celle réalisée par 2 experts médicaux comme référence. Résultats : 1749 alertes sur 1783 (98%) ont été classées correctement. 58 des 60 patients avaient toutes leurs alertes classées à l’identique par le système testé et par les évaluateurs-médecins. Une approche basée ontologie est à même de permettre un raisonnement automatique sur des données issues de dispositifs médicaux connectés, en les contextualisant en fonction des données médicales individuelles du patient. / Introduction :Remote monitoring of cardiac implantable electronic devices (CIED) such as pacemakers and defibrillators is the new follow-up standard. However, the numerous alerts generated in remote monitoring causes a burden for physicians. Morever, many alerts are notified despite the knowledge of patient condition and could be refined. This work proposes an automatic tool for classifying atrial fibrillation alert, based on an ontological knowledge model in OWL2. In particular, CHA2DS2VASc thrombo-embolic risk score and patient anticogulation status are accounted in order to determine alert importance. Materials and methods :An application ontology was designed in OWL2, in order to represent the concepts needed for processing alerts. This ontology was used to infer the importance of 1783 AF alerts among 60 CIED recipients, using a 4-grade scale. Automatic classification was compared to that of 2 medical experts.Results :1749 of 1783 alerts (98%) were correctly classified. 58 of 60 patients had every alerts classified with the same importance by the prototype and the human experts. An ontology-driven automatic reasoning tool is able to classify remote monitoring alerts, by using individual medical context. This technology could be important for managing data generated by connected medical devices.

Cette thèse concerne les systèmes de surveillance des turboréacteurs. Le développement de tels systèmes nécessite une phase d’évaluation et d’optimisation des performances, préalablement à la mise en exploitation. Le travail a porté sur cette phase, et plus précisément sur les performances des fonctions de détection et de pronostic de deux systèmes. Des indicateurs de performances associés à chacune de ces fonctions ainsi que leur estimation ont été définis. Les systèmes surveillés sont d’une part la séquence de démarrage pour la fonction de détection et d’autre part la consommation d’huile pour la fonction de pronostic. Les données utilisées venant de vols en exploitation sans dégradations, des simulations ont été nécessaires pour l’évaluation des performances. L’optimisation des performances de détection a été obtenue par réglage du seuil sur la statistique de décision en tenant compte des exigences des compagnies aériennes exprimées en termes de taux de bonne détection et de taux d’alarme fausse. Deux approches ont été considérées et leurs performances ont été comparées pour leurs meilleures configurations. Les performances de pronostic de surconsommations d’huile, simulées à l’aide de processus Gamma, ont été évaluées en fonction de la pertinence de la décision de maintenance induite par le pronostic. Cette thèse a permis de quantifier et d’améliorer les performances des fonctions considérées pour répondre aux exigences. D’autres améliorations possibles sont proposées comme perspectives pour conclure ce mémoire / This thesis deals with monitoring systems of turbojet engines. The development of such systems requires a performance evaluation and optimization phase prior to their introduction in operation. The work has been focused on this phase, and more specifically on the performance of the detection and the prognostic functions of two systems. Performances metrics related to each of these functions as well as their estimate have been defined. The monitored systems are, on the one hand, the start sequence for the detection function and on the other hand, the oil consumption for the prognostic function. The used data come from flights in operation without degradation, simulations of degradation were necessary for the performance assessment. Optimization of detection performance was obtained by tuning a threshold on the decision statistics taking into account the airlines requirements in terms of good detection rate and false alarm rate. Two approaches have been considered and their performances have been compared for their best configurations. Prognostic performances of over oil consumption, simulated using Gamma processes, have been assessed on the basis of the relevance of maintenance decision induced by the prognostic. This thesis has allowed quantifying and improving the performance of the two considered functions to meet the airlines requirements. Other possible improvements are proposed as prospects to conclude this thesis