100 resultados para Information Discovery Paradigm,


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Dissertação para obtenção do Grau de Doutor em Química Sustentável

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Dissertação para obtenção do Grau de Doutora em Estatística e Gestão de Risco, Especialidade em Estatística

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The dissertation presented for obtaining the Master’s Degree in Electrical Engineering and Computer Science, at Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.

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Dissertação apresentada para obtenção do Grau de Mestre em Engenharia Electrotécnica e de Computadores, pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

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Dissertação para a obtenção do Grau de Mestre em Engenharia Biomédica

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This thesis introduces a novel conceptual framework to support the creation of knowledge representations based on enriched Semantic Vectors, using the classical vector space model approach extended with ontological support. One of the primary research challenges addressed here relates to the process of formalization and representation of document contents, where most existing approaches are limited and only take into account the explicit, word-based information in the document. This research explores how traditional knowledge representations can be enriched through incorporation of implicit information derived from the complex relationships (semantic associations) modelled by domain ontologies with the addition of information presented in documents. The relevant achievements pursued by this thesis are the following: (i) conceptualization of a model that enables the semantic enrichment of knowledge sources supported by domain experts; (ii) development of a method for extending the traditional vector space, using domain ontologies; (iii) development of a method to support ontology learning, based on the discovery of new ontological relations expressed in non-structured information sources; (iv) development of a process to evaluate the semantic enrichment; (v) implementation of a proof-of-concept, named SENSE (Semantic Enrichment kNowledge SourcEs), which enables to validate the ideas established under the scope of this thesis; (vi) publication of several scientific articles and the support to 4 master dissertations carried out by the department of Electrical and Computer Engineering from FCT/UNL. It is worth mentioning that the work developed under the semantic referential covered by this thesis has reused relevant achievements within the scope of research European projects, in order to address approaches which are considered scientifically sound and coherent and avoid “reinventing the wheel”.

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Transport is an essential sector in modern societies. It connects economic sectors and industries. Next to its contribution to economic development and social interconnection, it also causes adverse impacts on the environment and results in health hazards. Transport is a major source of ground air pollution, especially in urban areas, and therefore contributing to the health problems, such as cardiovascular and respiratory diseases, cancer, and physical injuries. This thesis presents the results of a health risk assessment that quantifies the mortality and the diseases associated with particulate matter pollution resulting from urban road transport in Hai Phong City, Vietnam. The focus is on the integration of modelling and GIS approaches in the exposure analysis to increase the accuracy of the assessment and to produce timely and consistent assessment results. The modelling was done to estimate traffic conditions and concentrations of particulate matters based on geo-references data. A simplified health risk assessment was also done for Ha Noi based on monitoring data that allows a comparison of the results between the two cases. The results of the case studies show that health risk assessment based on modelling data can provide a much more detail results and allows assessing health impacts of different mobility development options at micro level. The use of modeling and GIS as a common platform for the integration of different assessments (environmental, health, socio-economic, etc.) provides various strengths, especially in capitalising on the available data stored in different units and forms and allows handling large amount of data. The use of models and GIS in a health risk assessment, from a decision making point of view, can reduce the processing/waiting time while providing a view at different scales: from micro scale (sections of a city) to a macro scale. It also helps visualising the links between air quality and health outcomes which is useful discussing different development options. However, a number of improvements can be made to further advance the integration. An improved integration programme of the data will facilitate the application of integrated models in policy-making. Data on mobility survey, environmental monitoring and measuring must be standardised and legalised. Various traffic models, together with emission and dispersion models, should be tested and more attention should be given to their uncertainty and sensitivity

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The particular characteristics and affordances of technologies play a significant role in human experience by defining the realm of possibilities available to individuals and societies. Some technological configurations, such as the Internet, facilitate peer-to-peer communication and participatory behaviors. Others, like television broadcasting, tend to encourage centralization of creative processes and unidirectional communication. In other instances still, the affordances of technologies can be further constrained by social practices. That is the case, for example, of radio which, although technically allowing peer-to-peer communication, has effectively been converted into a broadcast medium through the legislation of the airwaves. How technologies acquire particular properties, meanings and uses, and who is involved in those decisions are the broader questions explored here. Although a long line of thought maintains that technologies evolve according to the logic of scientific rationality, recent studies demonstrated that technologies are, in fact, primarily shaped by social forces in specific historical contexts. In this view, adopted here, there is no one best way to design a technological artifact or system; the selection between alternative designs—which determine the affordances of each technology—is made by social actors according to their particular values, assumptions and goals. Thus, the arrangement of technical elements in any technological artifact is configured to conform to the views and interests of those involved in its development. Understanding how technologies assume particular shapes, who is involved in these decisions and how, in turn, they propitiate particular behaviors and modes of organization but not others, requires understanding the contexts in which they are developed. It is argued here that, throughout the last century, two distinct approaches to the development and dissemination of technologies have coexisted. In each of these models, based on fundamentally different ethoi, technologies are developed through different processes and by different participants—and therefore tend to assume different shapes and offer different possibilities. In the first of these approaches, the dominant model in Western societies, technologies are typically developed by firms, manufactured in large factories, and subsequently disseminated to the rest of the population for consumption. In this centralized model, the role of users is limited to selecting from the alternatives presented by professional producers. Thus, according to this approach, the technologies that are now so deeply woven into human experience, are primarily shaped by a relatively small number of producers. In recent years, however, a group of three interconnected interest groups—the makers, hackerspaces, and open source hardware communities—have increasingly challenged this dominant model by enacting an alternative approach in which technologies are both individually transformed and collectively shaped. Through a in-depth analysis of these phenomena, their practices and ethos, it is argued here that the distributed approach practiced by these communities offers a practical path towards a democratization of the technosphere by: 1) demystifying technologies, 2) providing the public with the tools and knowledge necessary to understand and shape technologies, and 3) encouraging citizen participation in the development of technologies.

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In the recent past, hardly anyone could predict this course of GIS development. GIS is moving from desktop to cloud. Web 2.0 enabled people to input data into web. These data are becoming increasingly geolocated. Big amounts of data formed something that is called "Big Data". Scientists still don't know how to deal with it completely. Different Data Mining tools are used for trying to extract some useful information from this Big Data. In our study, we also deal with one part of these data - User Generated Geographic Content (UGGC). The Panoramio initiative allows people to upload photos and describe them with tags. These photos are geolocated, which means that they have exact location on the Earth's surface according to a certain spatial reference system. By using Data Mining tools, we are trying to answer if it is possible to extract land use information from Panoramio photo tags. Also, we tried to answer to what extent this information could be accurate. At the end, we compared different Data Mining methods in order to distinguish which one has the most suited performances for this kind of data, which is text. Our answers are quite encouraging. With more than 70% of accuracy, we proved that extracting land use information is possible to some extent. Also, we found Memory Based Reasoning (MBR) method the most suitable method for this kind of data in all cases.

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Nowadays there is a big percentage of the population, specially young users, which are smartphone users and there is a lot of information to be provided within the applications, information provision should be done carefully and should be accurate, otherwise an overload of information will be produced, and the user will discard the app which is providing the information. Mobile devices are becoming smarter and provide many ways to filter information. However, there are alternatives to improve information provision from the side of the application. Some examples are, taking into account the local time, considering the battery level before doing an action and checking the user location to send personalized information attached to that location. SmartCampus and SmartCities are becoming a reality and they have more and more data integrated every day. With all this amount of data it is crucial to decide when and where is the user going to receive a notification with new information. Geofencing is a technique which allows applications to deliver information in a more useful way, in the right time and in the right place. It consists of geofences, physical regions delimited by boundaries, and devices that are eligible to receive the information assigned to the geofence. When devices cross one of these geofences an alert is pushed to the mobile device with the information.

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This research seeks to design and implement a WebGIS application allowing high school students to work with information related to the disciplinary competencies of the competency-teaching model, in Mexico. This paradigm assumes knowledge to be acquired through the application of new technologies and to link it with everyday life situations of students. The WebGIS provides access to maps regarding natural risks in Mexico, e.g. volcanism, seismic activities, or hurricanes; the prototype's user interface was designed with special emphasis on scholar needs for high school students.

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RESUMO:O conceito de doenças raras como entidade própria começou a ser divulgado na comunidade médica no início deste século. A perspectiva de congregar múltiplas patologias, com características diferentes, valorizando a baixa frequência com que ocorrem na população interessou a comunidade científica, famílias, indústria e serviços de saúde. Esperava-se encontrar estratégias para melhorar a qualidade dos cuidados de saúde prestados a estes doentes. Uma vez que a informação científica sobre doenças raras está dispersa por diversas fontes o primeiro grande desafio foi sistematizar de forma a obter o “estado da arte”. A investigação que decorreu entre 2001 e 2010 teve como objectivo principal a caracterização dos doentes e das doenças raras numa população com características restritas mas não fechada como é o caso da ilha de S. Miguel nos Açores. Foram identificados 467 doentes a partir de várias fontes e monitorizado o nascimento de recém-nascidos com doença rara durante 10 anos. A prevalência das doenças raras encontrada na ilha de S. Miguel foi de 0,34% e a inerente à definição de doença rara foi de 6 % a 8 % da população na União Europeia. A diferença encontrada poderá decorrer de se ter sobrestimado o verdadeiro valor da prevalência das doenças raras na União Europeia. A incidência de doenças raras determinada na amostra foi de 0,1% e a taxa de mortalidade por causa específica foi de 0,14‰. O diagnóstico foi confirmado por técnicas laboratoriais de citogenética ou genética molecular em 43% dos doentes da amostra. Não foi identificado nenhum agregado populacional com doença rara para além do já conhecido para a DMJ. A criação de uma metodologia de estudo implicou a construção de um registo de doentes. Para tal foi utilizado o conhecimento adquirido anteriormente sobre uma doença rara que serviu de paradigma: a doença de Machado-Joseph. Na sequência dos resultados obtidos foi considerado útil a introdução de variáveis como a figura do cuidador, o cônjuge, o número de filhos do casal, a data da primeira consulta de Genética, o tempo decorrido entre o início dos sintomas e o acesso à consulta de Genética e entre esta actividade e dispor do diagnóstico para melhor compreender o contexto de vida destes doentes na perspectiva de poderem vir a ser incorporadas como indicadores. ----------- ABSTRACT: The concept of rare diseases as a condition began to be disclosed in the medical community at the beginning of this century.The prospect of bringing together multiple pathologies, with different features, enhancing the low frequency with which they occur in the population interested the scientific community, families, industry and health care services. The aim was to find strategies to improve the quality of care provided to these patients. Given that the scientific information on rare diseases is spread out across several sources the first major challenge was to systematize in order to get the "state of the art". The research took place between 2001 and 2010 and had as its main objective the characterization of patients and rare diseases in a population with specific features, but not confined, like in the case of the São Miguel Island in Azores. During 10 years were identified 467 patients from multiple sources and were observed the newborns with rare diseases. Prevalence of rare diseases found in the São Miguel Island was 0,34% compared to the 6% to 8% by definition of rare disease in the population in European Union. This discrepancy may be explained by a likely frequency of overrated rare diseases in European Union. The incidence of rare diseases in the sample was 0,1% and the specific mortality rate was 0,14 ‰. This diagnosis was confirmed by cytogenetic or molecular genetics analysis in 43% of patients in the sample. No population cluster was identified with rare disease besides the already known for Machado-Joseph Disease. The methodology for the study involved the construction of a database of patients. For such purpose it was used previously acquired knowledge on a rare disease paradigm: the Machado-Joseph disease. It was useful to introduce the following variables to properly establish the results: caregiver, spouse, number of children, date of first Genetics appointment, elapsed time between onset of symptoms and access to first appointment as well as this and the final diagnosis to better understand the context of life of these patients in order to incorporate them as rates.

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This work project focuses on developing new approaches which enhance Portuguese exports towards a defined German industry sector within the information technology and electronics fields. Firstly and foremost, information was collected and a set of expert and top managers’ interviews were performed in order to acknowledge the demand of the German market while identifying compatible Portuguese supply capabilities. Among the main findings, Industry 4.0 presents itself as a valuable opportunity in the German market for Portuguese medium sized companies in the embedded systems area of expertise for machinery and equipment companies. In order to achieve the purpose of the work project, an embedded systems platform targeting machinery and equipment companies was suggested as well as it was developed several recommendations on how to implement it. An alternative approach for this platform was also considered within the German market namely the eHealth sector having the purpose of enhancing the current healthcare service provision.