922 resultados para Computer arithmetic and logic units
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5th. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008) 8th. World Congress on Computational Mechanics (WCCM8)
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Dissertação apresentada ao Instituto Superior de Contabilidade para a obtenção do Grau de Mestre em Assessoria de Administração
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Smart Grids (SGs) appeared as the new paradigm for power system management and operation, being designed to integrate large amounts of distributed energy resources. This new paradigm requires a more efficient Energy Resource Management (ERM) and, simultaneously, makes this a more complex problem, due to the intensive use of distributed energy resources (DER), such as distributed generation, active consumers with demand response contracts, and storage units. This paper presents a methodology to address the energy resource scheduling, considering an intensive use of distributed generation and demand response contracts. A case study of a 30 kV real distribution network, including a substation with 6 feeders and 937 buses, is used to demonstrate the effectiveness of the proposed methodology. This network is managed by six virtual power players (VPP) with capability to manage the DER and the distribution network.
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Artificial intelligence techniques are being widely used to face the new reality and to provide solutions that can make power systems undergo all the changes while assuring high quality power. In this way, the agents that act in the power industry are gaining access to a generation of more intelligent applications, making use of a wide set of AI techniques. Knowledge-based systems and decision-support systems have been applied in the power and energy industry. This article is intended to offer an updated overview of the application of artificial intelligence in power systems. This article paper is organized in a way so that readers can easily understand the problems and the adequacy of the proposed solutions. Because of space constraints, this approach can be neither complete nor sufficiently deep to satisfy all readers’ needs. As this is amultidisciplinary area, able to attract both software and computer engineering and power system people, this article tries to give an insight into themost important concepts involved in these applications. Complementary material can be found in the reference list, providing deeper and more specific approaches.
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Over time, XML markup language has acquired a considerable importance in applications development, standards definition and in the representation of large volumes of data, such as databases. Today, processing XML documents in a short period of time is a critical activity in a large range of applications, which imposes choosing the most appropriate mechanism to parse XML documents quickly and efficiently. When using a programming language for XML processing, such as Java, it becomes necessary to use effective mechanisms, e.g. APIs, which allow reading and processing of large documents in appropriated manners. This paper presents a performance study of the main existing Java APIs that deal with XML documents, in order to identify the most suitable one for processing large XML files
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Mestrado em Engenharia Química. Ramo optimização energética na indústria química
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O objectivo do presente trabalho foi caracterizar os condensados produzidos numa fábrica de pasta para papel para identificar e localizar pontos da sua contaminação. Para o efeito, foram recolhidas amostras de condensado e caracterizados os parâmetros condutividade, pH, sódio e sílica. A amostragem decorreu no período entre 15 de Setembro a 6 de Novembro de 2008. Através da análise dos resultados obtidos para as concentrações de sílica e de sódio de cada uma das correntes, foram identificadas como contaminadas as correntes de condensado provenientes do condensador do Turbogerador 4, da área dos Digestores Descontínuos, da Evaporação e do Aquecedor de Água Quente para o Branqueamento. A realização de um balanço pontual à sílica no tanque de condensados da Central permitiu concluir que a maior contribuição advém do condensador do Turbogerador 4. Na Evaporação ocorre contaminação do condensado quando as secções do Concentrador 1 são colocadas em serviço após lavagem. Durante o acompanhamento do arranque da Evaporação, uma das secções (1/B) registou um valor máximo na concentração de sódio no condensado de 135 mg/L Na. Do estudo resulta, enquanto não for reparado e/ou substituído o equipamento responsável pelas contaminações, a necessidade de admitir requisitos para controlo da qualidade da água da caldeira menos restritivos, nomeadamente para a razão sódio/fosfato. É necessário, contudo, o rigoroso acompanhamento da qualidade da água da caldeira (pH, sobretudo) para prevenir afastamentos inesperados dos limites de controlo. Durante a realização deste trabalho foram identificadas algumas situações a melhorar, tais como a uniformização dos valores de desvio para esgoto dos condensados e das unidades utilizadas, a adequação das escalas dos aparelhos de medida para as gamas de leitura de interesse, a verificação e calibração periódica do equipamento instalado em linha, a adopção do parâmetro “Sódio” para controlo da qualidade dos condensados, a instalação de sistemas de amostragem com arrefecimento em todas as correntes de condensados e a reparação ou substituição de algum equipamento instalado em linha que se encontra em muito mau estado e ainda a manutenção do equipamento mantendo-o em boas condições de limpeza.
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CISTI'2015 - 10ª Conferência Ibérica de Sistemas e Tecnologias de Informação, 17 a 20 de junho de 2015, Águeda, Aveiro, Portugal.
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Mestrado em Contabilidade e Gestão das Instituições Financeiras
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The study of biosignals has had a transforming role in multiple aspects of our society, which go well beyond the health sciences domains to which they were traditionally associated with. While biomedical engineering is a classical discipline where the topic is amply covered, today biosignals are a matter of interest for students, researchers and hobbyists in areas including computer science, informatics, electrical engineering, among others. Regardless of the context, the use of biosignals in experimental activities and practical projects is heavily bounded by the cost, and limited access to adequate support materials. In this paper we present an accessible, albeit versatile toolkit, composed of low-cost hardware and software, which was created to reinforce the engagement of different people in the field of biosignals. The hardware consists of a modular wireless biosignal acquisition system that can be used to support classroom activities, interface with other devices, or perform rapid prototyping of end-user applications. The software comprehends a set of programming APIs, a biosignal processing toolbox, and a framework for real time data acquisition and postprocessing. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
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Despite the classification as known or suspected human carcinogens, by the International Agency for Research on Cancer, the antineoplastic drugs are extensively used in cancer treatment due to their specificity and efficacy. As human carcinogens, these drugs represent a serious threat to the healthcare workers involved in their preparation and administration. This work aims to contribute to better characterize the occupational exposure of healthcare professionals to antineoplastic drugs, by assessing workplace surfaces contamination of pharmacy and administration units of two Portuguese hospitals. Surface contamination was assessed by the determination of cyclophosphamide, 5-fluorouracil, and paclitaxel. These three drugs were used as surrogate markers for surfaces contamination by cytotoxic drugs. Wipe samples were taken and analyzed by HPLCDAD. From the total of 327 analyzed samples, in 121 (37%) was possible to detect and quantify at least one drug. Additionally, 28 samples (8.6 %) indicate contamination by more than one antineoplastic drug, mainly in the administration unit, in both hospitals. Considering the findings in both hospitals, specific measures should be taken, particularly those related with the promotion of good practices and safety procedures and also routine monitoring of surfaces contamination in order to guarantee the appliance of safety measures.
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Background - The use of antineoplastic drugs in cancer therapy is increasing due to their action in cancer cells. Carcinogenic, mutagenic and teratogenic effects. Some studies demonstrated that nurses and pharmacy personnel involved in preparation or administration are exposed to antineoplastic drugs. Aim: assess 5-Fluorouracil (5-FU) contamination on the surfaces of two Portuguese Hospitals (preparation and administration units). 5-FU is one of the most frequently antineoplastic agent used in Portuguese Hospitals and can be easily absorbed through the skin. This drug can be used as an marker of surfaces contamination and exposure and have been extensively discussed in other studies.
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Electrocardiographic (ECG) signals are emerging as a recent trend in the field of biometrics. In this paper, we propose a novel ECG biometric system that combines clustering and classification methodologies. Our approach is based on dominant-set clustering, and provides a framework for outlier removal and template selection. It enhances the typical workflows, by making them better suited to new ECG acquisition paradigms that use fingers or hand palms, which lead to signals with lower signal to noise ratio, and more prone to noise artifacts. Preliminary results show the potential of the approach, helping to further validate the highly usable setups and ECG signals as a complementary biometric modality.
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A classical application of biosignal analysis has been the psychophysiological detection of deception, also known as the polygraph test, which is currently a part of standard practices of law enforcement agencies and several other institutions worldwide. Although its validity is far from gathering consensus, the underlying psychophysiological principles are still an interesting add-on for more informal applications. In this paper we present an experimental off-the-person hardware setup, propose a set of feature extraction criteria and provide a comparison of two classification approaches, targeting the detection of deception in the context of a role-playing interactive multimedia environment. Our work is primarily targeted at recreational use in the context of a science exhibition, where the main goal is to present basic concepts related with knowledge discovery, biosignal analysis and psychophysiology in an educational way, using techniques that are simple enough to be understood by children of different ages. Nonetheless, this setting will also allow us to build a significant data corpus, annotated with ground-truth information, and collected with non-intrusive sensors, enabling more advanced research on the topic. Experimental results have shown interesting findings and provided useful guidelines for future work. Pattern Recognition
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Learning and teaching processes, like all human activities, can be mediated through the use of tools. Information and communication technologies are now widespread within education. Their use in the daily life of teachers and learners affords engagement with educational activities at any place and time and not necessarily linked to an institution or a certificate. In the absence of formal certification, learning under these circumstances is known as informal learning. Despite the lack of certification, learning with technology in this way presents opportunities to gather information about and present new ways of exploiting an individual’s learning. Cloud technologies provide ways to achieve this through new architectures, methodologies, and workflows that facilitate semantic tagging, recognition, and acknowledgment of informal learning activities. The transparency and accessibility of cloud services mean that institutions and learners can exploit existing knowledge to their mutual benefit. The TRAILER project facilitates this aim by providing a technological framework using cloud services, a workflow, and a methodology. The services facilitate the exchange of information and knowledge associated with informal learning activities ranging from the use of social software through widgets, computer gaming, and remote laboratory experiments. Data from these activities are shared among institutions, learners, and workers. The project demonstrates the possibility of gathering information related to informal learning activities independently of the context or tools used to carry them out.