953 resultados para General-purpose computing


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Este texto parte de la caracterización del concepto de multiculturalismo en general y específicamente en el contexto de la UE. A continuación, intentamos demostrar el carácter multicultural de una red de información, la red de los CDE, presente en todo el território de la EU, a partir de los resultados de encuestas distribuídas a los responsables, a sus utilizadores y en base a los datos recogidos durante visitas a algunos de ellos. Efectivamente, se verifica la existência de diferencias substanciales Finlandia, Irlanda, Hungría y Portugal en lo que respecta a la localización de los CDE, las tipologías de utilizadores, al uso de lenguages sistemáticos y alfabéticos para la organización de la información. Estas diferencias son menos marcadas pero también existen en lo que respecta a las áreas temáticas mas buscadas y los aspectos que los utilizadores de los CDE consideran que facilitan su acceso a la información. Por lo que se refiere a las formas de búsqueda en el catálogo y a los aspectos que se apuntan como obstáculos en el acceso a la información parece haber más coincidencia entre los diferentes países.

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Artificial Intelligence has been applied to dynamic games for many years. The ultimate goal is creating responses in virtual entities that display human-like reasoning in the definition of their behaviors. However, virtual entities that can be mistaken for real persons are yet very far from being fully achieved. This paper presents an adaptive learning based methodology for the definition of players’ profiles, with the purpose of supporting decisions of virtual entities. The proposed methodology is based on reinforcement learning algorithms, which are responsible for choosing, along the time, with the gathering of experience, the most appropriate from a set of different learning approaches. These learning approaches have very distinct natures, from mathematical to artificial intelligence and data analysis methodologies, so that the methodology is prepared for very distinct situations. This way it is equipped with a variety of tools that individually can be useful for each encountered situation. The proposed methodology is tested firstly on two simpler computer versus human player games: the rock-paper-scissors game, and a penalty-shootout simulation. Finally, the methodology is applied to the definition of action profiles of electricity market players; players that compete in a dynamic game-wise environment, in which the main goal is the achievement of the highest possible profits in the market.

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This paper presents the applicability of a reinforcement learning algorithm based on the application of the Bayesian theorem of probability. The proposed reinforcement learning algorithm is an advantageous and indispensable tool for ALBidS (Adaptive Learning strategic Bidding System), a multi-agent system that has the purpose of providing decision support to electricity market negotiating players. ALBidS uses a set of different strategies for providing decision support to market players. These strategies are used accordingly to their probability of success for each different context. The approach proposed in this paper uses a Bayesian network for deciding the most probably successful action at each time, depending on past events. The performance of the proposed methodology is tested using electricity market simulations in MASCEM (Multi-Agent Simulator of Competitive Electricity Markets). MASCEM provides the means for simulating a real electricity market environment, based on real data from real electricity market operators.

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RESUMO: O envelhecimento da população portuguesa é um facto. Esta alteração da estrutura demográfica exige o investimento no conhecimento científico para que se conheçam as consequências a nível, económico, social, cultural, biológico, físico e, principalmente, a nível da saúde. Isto porque, é emergente que a sociedade tenha capacidade para responder às necessidades específicas das pessoas neste estádio de vida, tendo sempre por base o conceito de qualidade de vida. Este estudo teve como objectivo avaliar a percepção do estado de saúde da pessoa idosa institucionalizada. Foram nove as instituições participantes, denominadas por lares de idosos de residência permanente, onde se contou com uma amostra de 75 indivíduos entre os 66 e 100 anos, de ambos os sexos. Foram recolhidos dados através de uma caracterização sócio-demográfica, através do Mini Mental State e através do Questionário de auto-avaliação da saúde e do bem-estar físico (de Fonseca e Paúl, 1999). Os dados obtidos foram trabalhados numa perspectiva de estatística descritiva e estatística inferencial, nomeadamente com a análise do coeficiente de Spearman. A partir desta análise determinou-se que: a grande maioria da amostra designa como “aceitável” ou “fraca” a sua percepção da saúde, em geral; os dados sócio-demográficos, e a instituição a que cada indivíduo pertence não têm relação com a percepção do estado de saúde destas pessoas; existe relação significativa entre a percepção do estado de saúde das pessoas idosas institucionalizadas e a saúde dos seus pares, essencialmente quando se abordam itens relacionados com aspectos físicos; no que concerne aos hábitos de vida, não existe relação entre a percepção do estado de saúde das pessoas idosas e os hábitos tabágicos e os hábitos alcoólicos. Os dados obtidos nem sempre são os dados que se esperavam efectivamente, porém fazem sentido ao serem consolidados com a teoria.--------ABSTRACT: The aging of the Portuguese population is a reality. It is imperative that society has the capacity to face the specific necessities of those who are in this phase of their lives. Therefore, this change in the demographics requires investment in scientific knowledge in order to know the consequences at levels such as: the economic, social cultural, biological and physical, mainly related to health. The main purpose of this study has been to evaluate the perceptions of elderly people concerning their health conditions. There were nine institutions involved, which are referred to as nursing homes, and a sample of 75 people between 66 and 100 years-old, from both genders, cooperated. Data has been collected through social-demographic, Mini Mental State and also through the questionnaire of the self-evaluation of health and physical well-being (from Fonseca and Paúl, 1999). The obtained data was worked within a perspective of descriptive/ inference statistic. From this analysis, it was determined that the great majority of the sample describes their perception of health as “acceptable” or “weak”, in general; the social-demographic information and the institution to where each person belongs do not show a connection with their perception of their health condition; however, there seems to be a significant relation between an institutionalized elderly person´s perception of their health condition and their spouse’s health, mainly when related to physical issues. In as far as life styles are concerned, do not show a connection between elderly people’s perception of health and smoking habits and alcohol habits. The obtained data does not always match expectations; nevertheless they make sense when being complemented by the theory.

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Low back problems are associated with decreased quality of life. Specific exercises can improve quality of life, resulting in better professional performance and functionality. The purpose of this study was to evaluate the effect of following a 21-month exercise program on the quality of life of warehouse workers. The population included 557 male warehouse workers from a food distribution company in Oporto, Portugal. Upon application of the selection criteria, 249 workers were deemed eligible, which were randomized into two groups (125 in the intervention group and 124 in the control group). Then, subjects were asked to volunteer for the study, the sample being formed by 229 workers (112 in the intervention group and 117 in the control group). All subjects completed the SF-36 questionnaire prior to beginning the program and on the 11th and 21st months following it. The exercises were executed in the company facilities once a day for 8 min. Data were analyzed using SPSS® 17.0 for Windows®. After 11 months of following the exercise program, there was an increase in all scores for the experimental group, with statistically significant differences in the dimensions physical functioning (0.019), bodily pain (0.010), general health (0.004), and rolephysical (0.037). The results obtained at the end of the study (21 months) showed significant improvements in the dimensions physical functioning (p = 0.002), rolephysical (p = 0.007), bodily pain (p = 0.001), social functioning (p = 0.015), role-emotional (p = 0.011), and mental health (p = 0.001). In the control group all dimensions showed a decrease in mean scores. It can be concluded that the implementation of a low back specific exercise program has changed positively the quality of life of warehouse workers.

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Poster presented at the Sixth Annual International Conference on Open Repositories (OR11) held on 6-11th June, Austin, Texas

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Dissertação apresentada para a obtenção do Grau de Doutor em Informática pela Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia

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Harnessing idle PCs CPU cycles, storage space and other resources of networked computers to collaborative are mainly fixated on for all major grid computing research projects. Most of the university computers labs are occupied with the high puissant desktop PC nowadays. It is plausible to notice that most of the time machines are lying idle or wasting their computing power without utilizing in felicitous ways. However, for intricate quandaries and for analyzing astronomically immense amounts of data, sizably voluminous computational resources are required. For such quandaries, one may run the analysis algorithms in very puissant and expensive computers, which reduces the number of users that can afford such data analysis tasks. Instead of utilizing single expensive machines, distributed computing systems, offers the possibility of utilizing a set of much less expensive machines to do the same task. BOINC and Condor projects have been prosperously utilized for solving authentic scientific research works around the world at a low cost. In this work the main goal is to explore both distributed computing to implement, Condor and BOINC, and utilize their potency to harness the ideal PCs resources for the academic researchers to utilize in their research work. In this thesis, Data mining tasks have been performed in implementation of several machine learning algorithms on the distributed computing environment.

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Comunicação apresentada na CAPSI 2011 - 11ª Conferência da Associação Portuguesa de Sistemas de Informação – A Gestão de Informação na era da Cloud Computing, Lisboa, ISEG/IUL-ISCTE/, 19 a 21 de Outubro de 2011.

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Between March and July 1996, a focalized epidemic outbreak of cutaneous leishmaniasis in General Vedia, province of Chaco, associated to the gallery forest of the Oro river was verified. The incidence rate in the area, which was 0-2/000 cases in preceding years, reached 8/000 cases in 1996. The risk of symptomatic infection was similar between sexes, but was different when analizing the different age groups by sex, suggesting a greater relative importance of the peridomestic transmission for the females and of the transmission in the subtropical forest for the males. Specimens of Lutzomyia intermedia, a species already incriminated as a vector of Leishmaniasis in other provinces of northern Argentina, were captured and identified in the focus locality in May 1996. The possible causes of the outbreak related to the climatic variables and the vector abundance are analyzed and the results in the framework of possible preventive and control activities are discussed.

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Dissertation submitted in partial fulfillment of the requirements for degree of Master in Statistics and Information Management.

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Dissertation to obtain a Master Degree in Biotechnology

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Based on a report for the seminar Industrial Networks, at Goethe Universität Frankfurt am Main Dozent: Prof. Dr. Blättel-Mink, Prof. Dr. António Moniz SS 2011

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In recent years, vehicular cloud computing (VCC) has emerged as a new technology which is being used in wide range of applications in the area of multimedia-based healthcare applications. In VCC, vehicles act as the intelligent machines which can be used to collect and transfer the healthcare data to the local, or global sites for storage, and computation purposes, as vehicles are having comparatively limited storage and computation power for handling the multimedia files. However, due to the dynamic changes in topology, and lack of centralized monitoring points, this information can be altered, or misused. These security breaches can result in disastrous consequences such as-loss of life or financial frauds. Therefore, to address these issues, a learning automata-assisted distributive intrusion detection system is designed based on clustering. Although there exist a number of applications where the proposed scheme can be applied but, we have taken multimedia-based healthcare application for illustration of the proposed scheme. In the proposed scheme, learning automata (LA) are assumed to be stationed on the vehicles which take clustering decisions intelligently and select one of the members of the group as a cluster-head. The cluster-heads then assist in efficient storage and dissemination of information through a cloud-based infrastructure. To secure the proposed scheme from malicious activities, standard cryptographic technique is used in which the auotmaton learns from the environment and takes adaptive decisions for identification of any malicious activity in the network. A reward and penalty is given by the stochastic environment where an automaton performs its actions so that it updates its action probability vector after getting the reinforcement signal from the environment. The proposed scheme was evaluated using extensive simulations on ns-2 with SUMO. The results obtained indicate that the proposed scheme yields an improvement of 10 % in detection rate of malicious nodes when compared with the existing schemes.

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The wide use of antibiotics in aquaculture has led to the emergence of resistant microbial species. It should be avoided/minimized by controlling the amount of drug employed in fish farming. For this purpose, the present work proposes test-strip papers aiming at the detection/semi-quantitative determination of organic drugs by visual comparison of color changes, in a similar analytical procedure to that of pH monitoring by universal pH paper. This is done by establishing suitable chemical changes upon cellulose, attributing the paper the ability to react with the organic drug and to produce a color change. Quantitative data is also enabled by taking a picture and applying a suitable mathematical treatment to the color coordinates given by the HSL system used by windows. As proof of concept, this approach was applied to oxytetracycline (OXY), one of the antibiotics frequently used in aquaculture. A bottom-up modification of paper was established, starting by the reaction of the glucose moieties on the paper with 3-triethoxysilylpropylamine (APTES). The so-formed amine layer allowed binding to a metal ion by coordination chemistry, while the metal ion reacted after with the drug to produce a colored compound. The most suitable metals to carry out such modification were selected by bulk studies, and the several stages of the paper modification were optimized to produce an intense color change against the concentration of the drug. The paper strips were applied to the analysis of spiked environmental water, allowing a quantitative determination for OXY concentrations as low as 30 ng/mL. In general, this work provided a simple, method to screen and discriminate tetracycline drugs, in aquaculture, being a promising tool for local, quick and cheap monitoring of drugs.