878 resultados para Innovative student support
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6th Graduate Student Symposium on Molecular Imprinting
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Graduate Student Symposium on Molecular Imprinting 2013, na Queen’s University, Belfast, United Kingdom, 15 a 17 de Agosto de 2013
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Poster presented in The 28th GI/ITG International Conference on Architecture of Computing Systems (ARCS 2015). 24 to 26, Mar, 2015. Porto, Portugal.
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Teaching and learning computer programming is as challenging as difficult. Assessing the work of students and providing individualised feedback to all is time-consuming and error prone for teachers and frequently involves a time delay. The existent tools and specifications prove to be insufficient in complex evaluation domains where there is a greater need to practice. At the same time Massive Open Online Courses (MOOC) are appearing revealing a new way of learning, more dynamic and more accessible. However this new paradigm raises serious questions regarding the monitoring of student progress and its timely feedback. This paper provides a conceptual design model for a computer programming learning environment. This environment uses the portal interface design model gathering information from a network of services such as repositories and program evaluators. The design model includes also the integration with learning management systems, a central piece in the MOOC realm, endowing the model with characteristics such as scalability, collaboration and interoperability. This model is not limited to the domain of computer programming and can be adapted to any complex area that requires systematic evaluation with immediate feedback.
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A presente dissertação teve como objetivo fazer uma análise da viabilidade técnica da utilização dos condutores de alta temperatura nas linhas aéreas de MT, identificar vantagens, analisar inconvenientes, e estabelecer um comparativo a custos médios com as soluções convencionais. Foi efetuado o estudo de um caso real da EDP Distribuição que consistia na necessidade do aumento da capacidade de transporte de energia da linha aérea a 15 kV Espinho-Sanguedo. Neste foi ponderada a solução onde se poderia efetuar passagem de linha simples para linha dupla em alumínio-aço (AA) 160 mm2 ou a solução alternativa e inovadora de substituição dos condutores existentes por condutores de alta temperatura ACCC 182 mm2. Para isso foram efetuados cálculos e também criada uma ferramenta de apoio à decisão, para validação dos mesmos, com o intuito de mais tarde poder ser aplicada nas linhas aéreas em Média Tensão em todo o país e, sempre que necessário, se possa fazer um estudo de ponderação técnica de forma sistemática e estruturada. Neste trabalho estão identificadas as vantagens, foram relatados os inconvenientes, e estabeleceu-se um comparativo a custos médios da utilização de condutores de alta temperatura com as soluções convencionais. Antes de poder ser realizado um estudo do caso concreto da Linha aérea Espinho-Sanguedo foi necessário um aprofundamento do estado da arte no que diz respeito à comparação entre o cabo de alta temperatura ACCC e o cabo convencional ACSR, sendo este o mais utilizado nas linhas aéreas em MT. Os cabos de alta temperatura trouxeram inovações neste tema de transporte de energia, e como tal surgiu a necessidade de um estudo mais aprofundado da sua constituição, destacando o seu núcleo formado pelo compósito de fibra de carbono e fibra de vidro. Foi também analisado vantagens e desvantagens do cabo de alta temperatura e até mesmo situações onde a sua aplicação poderá ser vantajosa, de modo a tirar proveito das suas caraterísticas em que se destacam altas temperaturas de funcionamento e flechas reduzidas. Para elaborar um projeto de uma linha aérea em média tensão é necessário considerar a legislação em vigor, os aspetos ambientais e económicos, respeitando e garantindo as premissas do cálculo elétrico e mecânico. Economicamente este tipo de cabo (ACCC) é mais dispendioso do que os convencionais, no entanto o estudo realizado permitiu perceber que a sua implementação técnica é vantajosa em linhas aéreas de elevada capacidade de transporte de energia, sobretudo nos casos onde serão necessárias instalar linhas duplas ou linhas simples de seções elevadas. Devido às suas caraterísticas mecânicas, estes cabos permitem melhorar as linhas na sua dimensão, podendo diminuir o número de apoios a instalar, podendo diminuir a robustez dos apoios e permitir maior facilidade na montagem. Estas vantagens traduzem-se em menores impactos ambientais e permitem sobretudo reduzir os constrangimentos com os proprietários dos terrenos onde os apoios são implantados.
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Presented at INForum - Simpósio de Informática (INFORUM 2015). 7 to 8, Sep, 2015. Covilhã, Portugal.
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Presented at Work in Progress Session, IEEE Real-Time Systems Symposium (RTSS 2015). 1 to 3, Dec, 2015. San Antonio, U.S.A..
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Presented at Work in Progress Session, IEEE Real-Time Systems Symposium (RTSS 2015). 1 to 3, Dec, 2015. San Antonio, U.S.A..
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Quality of life is a concept influenced by social, economic, psychological, spiritual or medical state factors. More specifically, the perceived quality of an individual's daily life is an assessment of their well-being or lack of it. In this context, information technologies may help on the management of services for healthcare of chronic patients such as estimating the patient quality of life and helping the medical staff to take appropriate measures to increase each patient quality of life. This paper describes a Quality of Life estimation system developed using information technologies and the application of data mining algorithms to access the information of clinical data of patients with cancer from Otorhinolaryngology and Head and Neck services of an oncology institution. The system was evaluated with a sample composed of 3013 patients. The results achieved show that there are variables that may be significant predictors for the Quality of Life of the patient: years of smoking (p value 0.049) and size of the tumor (p value < 0.001). In order to assign the variables to the classification of the quality of life the best accuracy was obtained by applying the John Platt's sequential minimal optimization algorithm for training a support vector classifier. In conclusion data mining techniques allow having access to patients additional information helping the physicians to be able to know the quality of life and produce a well-informed clinical decision.
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This paper presents a decision support methodology for electricity market players’ bilateral contract negotiations. The proposed model is based on the application of game theory, using artificial intelligence to enhance decision support method’s adaptive features. This model is integrated in AiD-EM (Adaptive Decision Support for Electricity Markets Negotiations), a multi-agent system that provides electricity market players with strategic behavior capabilities to improve their outcomes from energy contracts’ negotiations. Although a diversity of tools that enable the study and simulation of electricity markets has emerged during the past few years, these are mostly directed to the analysis of market models and power systems’ technical constraints, making them suitable tools to support decisions of market operators and regulators. However, the equally important support of market negotiating players’ decisions is being highly neglected. The proposed model contributes to overcome the existing gap concerning effective and realistic decision support for electricity market negotiating entities. The proposed method is validated by realistic electricity market simulations using real data from the Iberian market operator—MIBEL. Results show that the proposed adaptive decision support features enable electricity market players to improve their outcomes from bilateral contracts’ negotiations.
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The energy sector has suffered a significant restructuring that has increased the complexity in electricity market players' interactions. The complexity that these changes brought requires the creation of decision support tools to facilitate the study and understanding of these markets. The Multiagent Simulator of Competitive Electricity Markets (MASCEM) arose in this context, providing a simulation framework for deregulated electricity markets. The Adaptive Learning strategic Bidding System (ALBidS) is a multiagent system created to provide decision support to market negotiating players. Fully integrated with MASCEM, ALBidS considers several different strategic methodologies based on highly distinct approaches. Six Thinking Hats (STH) is a powerful technique used to look at decisions from different perspectives, forcing the thinker to move outside its usual way of thinking. This paper aims to complement the ALBidS strategies by combining them and taking advantage of their different perspectives through the use of the STH group decision technique. The combination of ALBidS' strategies is performed through the application of a genetic algorithm, resulting in an evolutionary learning approach.
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Health promotion in hospital environments can be improved using the most recent information and communication technologies. The Internet connectivity to small sensor nodes carried by patients allows remote access to their bio-signals. To promote these features the healthcare wireless sensor networks (HWSN) are used. In these networks mobility support is a key issue in order to keep patients under realtime monitoring even when they move around. To keep sensors connected to the network, they should change their access points of attachment when patients move to a new coverage area along an infirmary. This process, called handover, is responsible for continuous network connectivity to the sensors. This paper presents a detailed performance evaluation study considering three handover mechanisms for healthcare scenarios (Hand4MAC, RSSI-based, and Backbone-based). The study was performed by simulation using several scenarios with different number of sensors and different moving velocities of sensor nodes. The results show that Hand4MAC is the best solution to guarantee almost continuous connectivity to sensor nodes with less energy consumption.
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Thesis submitted to the Universidade Nova de Lisboa, Faculdade de Ciências e Tecnologia for the degree of Doctor of Philosophy in Environmental Engineering
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Dissertation to obtain the Master degree in Electrical Engineering and Computer Science
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Introduction: Lesions at ipsilateral systems related to postural control at ipsilesional side, may justify the lower performance of stroke subjects during walking. Purpose: To analyse bilateral ankle antagonist coactivation during double-support in stroke subjects. Methods: Sixteen (8 females; 8 males) subjects with a first isquemic stroke, and twenty two controls (12 females; 10 males) participated in this study. The double support phase was assessed through ground reaction forces and electromyography of ankle muscles was assessed in both limbs. Results: Ipsilesional limb presented statistical significant differences from control when assuming specific roles during double support, being the tibialis anterior and soleus pair the one in which this atypical behavior was more pronounced. Conclusion: The ipsilesional limb presents a dysfunctional behavior when a higher postural control activity was demanded.