Short-term Wind Speed Forecasting using Support Vector Machines

Wind speed forecasting has been becoming an important field of research to support the electricity industry mainly due to the increasing use of distributed energy sources, largely based on renewable sources. This type of electricity generation is highly dependent on the weather conditions variability, particularly the variability of the wind speed. Therefore, accurate wind power forecasting models are required to the operation and planning of wind plants and power systems. A Support Vector Machines (SVM) model for short-term wind speed is proposed and its performance is evaluated and compared with several artificial neural network (ANN) based approaches. A case study based on a real database regarding 3 years for predicting wind speed at 5 minutes intervals is presented.

Data Mining Approach to support the Generation of Realistic Scenarios for Multi-Agent simulation of Electricity Markets

This paper presents the Realistic Scenarios Generator (RealScen), a tool that processes data from real electricity markets to generate realistic scenarios that enable the modeling of electricity market players’ characteristics and strategic behavior. The proposed tool provides significant advantages to the decision making process in an electricity market environment, especially when coupled with a multi-agent electricity markets simulator. The generation of realistic scenarios is performed using mechanisms for intelligent data analysis, which are based on artificial intelligence and data mining algorithms. These techniques allow the study of realistic scenarios, adapted to the existing markets, and improve the representation of market entities as software agents, enabling a detailed modeling of their profiles and strategies. This work contributes significantly to the understanding of the interactions between the entities acting in electricity markets by increasing the capability and realism of market simulations.

Ventilação de locais afetos a serviços técnicos elétricos

A correta ventilação de locais afetos a serviços técnicos elétricos, nomeadamente postos de transformação e salas de grupos geradores, reveste-se de extrema importância como garantia da continuidade e qualidade do serviço prestado, durabilidade dos materiais e equipamentos e da segurança das instalações e utilizadores. A ventilação dos locais afetos a serviços técnicos elétricos pode ser natural ou mecânica, dependendo das suas caraterísticas e das necessidades de ar para ventilação e combustão, quando aplicável. Os técnicos responsáveis pelo projeto de instalações elétricas não detém, em regra, um conhecimento muito profundo sobre este tema, sendo os seus projetos realizados com base em especificações e metodologias gerais disponibilizadas pelos fabricantes e comercializadores dos materiais e equipamentos. O projeto de uma solução de ventilação para um local afeto a serviços técnicos eléctricos exige o conhecimento de todos os ganhos térmicos no interior do espaço, o conhecimento das soluções técnicas e tecnológicas de ventilação bem como as metodologias de dimensionamento aplicáveis a cada situação. Sendo a fase de projeto elétrico, em regra, uma atividade com prazos apertados, pode conduzir ao menosprezar de certos aspetos particulares que carecem de investigação e tempo para serem desenvolvidos, o que pode resultar em projetos e mapas de quantidades que apresentam desvios da solução ideal para o cliente, podendo resultar em investimentos mais elevados, quer na fase de execução, quer na fase de exploração das instalações. Neste sentido, pretendeu-se com o presente trabalho, tratar o tema da ventilação de locais afetos a serviços técnicos, atendendo ao enquadramento normativo e regulamentar das instalações, às soluções técnicas e tecnológicas disponíveis no mercado e às metodologias de dimensionamento, apresentadas pelos documentos normativos e regulamentares. Pretendeu-se também desenvolver uma ferramenta informática de auxilio ao dimensionamento das soluções de ventilação de locais afetos a serviços técnicas eléctricos destinados a postos de transformação e grupos geradores de modo a reduzir o tempo normalmente exigido por esta tarefa, o que se traduzirá numa maior rentabilidade do tempo de projeto, assim como a normalizar as soluções apresentadas e minimizar a probabilidade de erro do dimensionamento das soluções, reduzindo assim a probabilidade de gastos em “trabalhos a mais” provenientes de erros em projeto, poupança em materiais presentes no mapa de quantidades, maior eficácia na execução da empreitada, poupança em gastos durante a exploração e desta forma numa proximidade entre as partes interessadas com o dimensionamento da ventilação do espaço técnico elétrico.

Implementação ESB numa unidade hospitalar. Uso normalizado de mensagens HL7

Atualmente, os sistemas de informação hospitalares têm de possibilitar uma utilização diferenciada pelos diferentes intervenientes, num cenário de constante adaptação e evolução. Para tal, é essencial a interoperabilidade entre os sistemas de informação do hospital e os diversos fornecedores de serviços, assim como dispositivos hospitalares. Apesar da necessidade de suportar uma heterogeneidade entre sistemas ser fundamental, o acesso/troca de informação deve ser feito de uma forma protocolada, segura e transparente. A infraestrutura de informação médica moderna consiste em muitos sistemas heterogéneos, com diversos mecanismos para controlar os dados subjacentes. Informações relativas a um único paciente podem estar dispersas por vários sistemas (ex: transferência de pacientes, readmissão, múltiplos tratamentos, etc.). Torna-se evidente a necessidade aceder a dados do paciente de forma consolidada a partir de diferentes locais. Desta forma, é fundamental utilizar uma arquitetura que promova a interoperabilidade entre sistemas. Para conseguir esta interoperabilidade, podem-se implementar camadas de “middleware” que façam a adaptação das trocas de informação entre os sistemas. Todavia, não resolvemos o problema subjacente, ou seja, a necessidade de utilização de um standard para garantir uma interacção fiável entre cliente/fornecedor. Para tal, é proposto uma solução que passa por um ESB dedicado para a área da saúde, denominada por HSB (Healthcare Service Bus). Entre as normas mais usuais nesta área devem-se salientar o HL7 e DICOM, esta última mais especificamente para dispositivos de imagem hospitalar, sendo a primeira utilizada para gestão e trocas de informação médica entre sistemas. O caso de estudo que serviu de base a esta dissertação é o de um hospital de média dimensão cujo sistema de informação começou por ser uma solução monolítica, de um só fornecedor. Com o passar dos anos, o fornecedor único desagregou-se em vários, independentes e concorrentes, dando lugar a um cenário extremamente preocupante em termos de manutenção e evolução futura do sistema de informação existente. Como resultado do trabalho efetuado, foi proposta uma arquitetura que permite a evolução do sistema atual de forma progressiva para um HSB puro.

New modified electrochemical conductive paper support for BSA detection

Chemical sensors and biosensors are widely used to detect various kinds of protein target biomolecules. Molecularly Imprinted Polymers (MIPs) have raised great interest in this area, because these act as antibody-like recognition materials, with high affinity to the template molecule. Compared to natural antibodies, these are also of lower cost and higher stability. There are different types of supports used to carry MIP materials, mostly of these made of gold, favourably assembled on a Screen Printed Electrode (SPE) strategy. For this work a new kind of support for the sensing layer was developed: conductive paper. This support was made by modifying first cellulose paper with paraffin wax (to make it waterproof), and casting a carbon-ink on it afterwards, to turn it conductive. The SPAM approach previously reported in1 was employed herein to assemble to MIP sensing material on the conductive paper. The selected charged monomers were (vinylbenzyl) trimethlammonium chloride (positive charge) or vinylbenzoic acid (negative charge), used to generate binding positions with single-type charge (positive or negative). The non-specific binding area of the MIP layer was assembled by chronoamperometry-assisted polymerization (at 1 V, for 60, 120 or 180 seconds) of vinylbenzoate, cross-linked with ethylene glycol vinyl ether. The BSA biomolecules lying within the polymeric matrix were removed by Proteinase K action. All preparation stages of the MIP assembly were followed by FTIR, Raman spectroscopy and, electrochemical analysis. In general, the best results were obtained for longer polymerization times and positively charged binding sites (which was consistent with a negatively-charged protein under physiological pH, as BSA). Linear responses against BSA concentration ranged from 0.005 to 100 mg/mL, in PBS buffer standard solutions. The sensor was further calibrated in standard solutions that were prepared in synthetic or real urine, and the analytical response became more sensitive and stable. Compared to the literature, the detection capability of the developed device is better than most of the reported electrodes. Overall, the simplicity, low cost and good analytical performance of the BSA SPE device, prepared with positively charged binding positions, seems a suitable approach for practical application in clinical context. Further studies with real samples are required, as well as gathering with electronic-supporting devices to allow on-site readings.

Formal Contracts for Runtime Verification Support in the Ada Programming Language

Poster presented in The 28th GI/ITG International Conference on Architecture of Computing Systems (ARCS 2015). 24 to 26, Mar, 2015. Porto, Portugal.

Architecture to Support Quality of Service in Arrowhead Systems

Presented at INForum - Simpósio de Informática (INFORUM 2015). 7 to 8, Sep, 2015. Covilhã, Portugal.

Real-Time Support in the Proposal for Fine-Grained Parallelism in Ada

Presented at Work in Progress Session, IEEE Real-Time Systems Symposium (RTSS 2015). 1 to 3, Dec, 2015. San Antonio, U.S.A..

Real-Time Support in the Proposal for Fine-Grained Parallelism in Ada

Presented at Work in Progress Session, IEEE Real-Time Systems Symposium (RTSS 2015). 1 to 3, Dec, 2015. San Antonio, U.S.A..

A Clinical Support System Based on Quality of Life Estimation

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.

Decision Support for Energy Contracts Negotiation with Game Theory and Adaptive Learning

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.

Six thinking hats: A novel metalearner for intelligent decision support in electricity markets

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.

Impact of sensor nodes scaling and velocity on handover mechanisms for healthcare wireless sensor networks with mobility support

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.

Ankle antagonist coactivation in the double-support phase of walking: Stroke vs. healthy subjects

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.

Cross-Layer Admission Control to Enhance the Support of Real-Time Applications in WSN

Real-time monitoring applications may be used in a wireless sensor network (WSN) and may generate packet flows with strict quality of service requirements in terms of delay, jitter, or packet loss. When strict delays are imposed from source to destination, the packets must be delivered at the destination within an end-to-end delay (EED) hard limit in order to be considered useful. Since the WSN nodes are scarce both in processing and energy resources, it is desirable that they only transport useful data, as this contributes to enhance the overall network performance and to improve energy efficiency. In this paper, we propose a novel cross-layer admission control (CLAC) mechanism to enhance the network performance and increase energy efficiency of a WSN, by avoiding the transmission of potentially useless packets. The CLAC mechanism uses an estimation technique to preview packets EED, and decides to forward a packet only if it is expected to meet the EED deadline defined by the application, dropping it otherwise. The results obtained show that CLAC enhances the network performance by increasing the useful packet delivery ratio in high network loads and improves the energy efficiency in every network load.