Relatório médico em imagiologia: estudo de práticas de criação e uso

Considerando como objeto de estudo o Relatório Médico em imagiologia, esta investigação encontra-se situada entre duas áreas do saber, a Ciência de Informação e as Ciências da Saúde (mais designadamente no âmbito da imagiologia). O Relatório Médico em imagiologia é um documento textual, físico e/ou digital, sigiloso, com caráter legal, que compreende informação médica relativa a um (ou vários) exame(s) médico(s) de um utente e que têm como principal objetivo fornecer dados/indicadores para o diagnóstico médico especializado. Com esta investigação, pretende-se posicionar o objeto de estudo, documentar a sua génese intelectual e material, refletir sobre todo o fluxo informacional do documento, revelar a importância das suas fases de produção e de normalização. Foram realizados levantamentos bibliográficos e abordagens reflexivas sobre a importância e produção do relatório médico, que depois foram cruzados com estudos de caso baseado em diferentes instituições, onde a experiência profissional do médico (produtor intelectual) e datilógrafo (produtor material) nos elucida sobre a temática apresentada e nos permitiu entender práticas e fluxos informacionais. No final do estudo analisamos o papel do datilógrafo como produtor material do relatório médico, salientando-se a sua consciência ética e profissional e sugerindo um conjunto de boas práticas no âmbito da elaboração e normalização de relatórios médicos em imagiologia.

Trade-Off Performance Regions of Slotted ALOHA Protocol using Multi-Objective Optimization

10th Conference on Telecommunications (Conftele 2015), Aveiro, Portugal.

Multi-Objective and Financial Portfolio Optimization of Carrier-Sense Multiple Access Protocols with Cooperative Diversity

8th International Workshop on Multiple Access Communications (MACOM2015), Helsinki, Finland.

Condition-Based Diagnosis of Mechatronic Systems Using a Fractional Calculus Approach

While fractional calculus (FC) is as old as integer calculus, its application has been mainly restricted to mathematics. However, many real systems are better described using FC equations than with integer models. FC is a suitable tool for describing systems characterised by their fractal nature, long-term memory and chaotic behaviour. It is a promising methodology for failure analysis and modelling, since the behaviour of a failing system depends on factors that increase the model’s complexity. This paper explores the proficiency of FC in modelling complex behaviour by tuning only a few parameters. This work proposes a novel two-step strategy for diagnosis, first modelling common failure conditions and, second, by comparing these models with real machine signals and using the difference to feed a computational classifier. Our proposal is validated using an electrical motor coupled with a mechanical gear reducer.

A multi-objective optimization of the active and reactive resource scheduling at a distribution level in a smart grid context

In the traditional paradigm, the large power plants supply the reactive power required at a transmission level and the capacitors and transformer tap changer were also used at a distribution level. However, in a near future will be necessary to schedule both active and reactive power at a distribution level, due to the high number of resources connected in distribution levels. This paper proposes a new multi-objective methodology to deal with the optimal resource scheduling considering the distributed generation, electric vehicles and capacitor banks for the joint active and reactive power scheduling. The proposed methodology considers the minimization of the cost (economic perspective) of all distributed resources, and the minimization of the voltage magnitude difference (technical perspective) in all buses. The Pareto front is determined and a fuzzy-based mechanism is applied to present the best compromise solution. The proposed methodology has been tested in the 33-bus distribution network. The case study shows the results of three different scenarios for the economic, technical, and multi-objective perspectives, and the results demonstrated the importance of incorporating the reactive scheduling in the distribution network using the multi-objective perspective to obtain the best compromise solution for the economic and technical perspectives.