An intelligent tutoring approach to support students and technicians in electrical installation design

Designing electric installation projects, demands not only academic knowledge, but also other types of knowledge not easily acquired through traditional instructional methodologies. A lot of additional empirical knowledge is missing and so the academic instruction must be completed with different kinds of knowledge, such as real-life practical examples and simulations. On the other hand, the practical knowledge detained by the most experienced designers is not formalized in such a way that is easily transmitted. In order to overcome these difficulties present in the engineers formation, we are developing an Intelligent Tutoring System (ITS), for training and support concerning the development of electrical installation projects to be used by electrical engineers, technicians and students.

Data mining techniques to support the classification of MV electricity customers

This paper describes a methodology that was developed for the classification of Medium Voltage (MV) electricity customers. Starting from a sample of data bases, resulting from a monitoring campaign, Data Mining (DM) techniques are used in order to discover a set of a MV consumer typical load profile and, therefore, to extract knowledge regarding to the electric energy consumption patterns. In first stage, it was applied several hierarchical clustering algorithms and compared the clustering performance among them using adequacy measures. In second stage, a classification model was developed in order to allow classifying new consumers in one of the obtained clusters that had resulted from the previously process. Finally, the interpretation of the discovered knowledge are presented and discussed.

Using data mining techniques to support DR programs definition in smart grids

In recent years, Power Systems (PS) have experimented many changes in their operation. The introduction of new players managing Distributed Generation (DG) units, and the existence of new Demand Response (DR) programs make the control of the system a more complex problem and allow a more flexible management. An intelligent resource management in the context of smart grids is of huge important so that smart grids functions are assured. This paper proposes a new methodology to support system operators and/or Virtual Power Players (VPPs) to determine effective and efficient DR programs that can be put into practice. This method is based on the use of data mining techniques applied to a database which is obtained for a large set of operation scenarios. The paper includes a case study based on 27,000 scenarios considering a diversity of distributed resources in a 32 bus distribution network.

ANN based support for distributed energy resources scheduling in smart grids

The future scenarios for operation of smart grids are likely to include a large diversity of players, of different types and sizes. With control and decision making being decentralized over the network, intelligence should also be decentralized so that every player is able to play in the market environment. In the new context, aggregator players, enabling medium, small, and even micro size players to act in a competitive environment, will be very relevant. Virtual Power Players (VPP) and single players must optimize their energy resource management in order to accomplish their goals. This is relatively easy to larger players, with financial means to have access to adequate decision support tools, to support decision making concerning their optimal resource schedule. However, the smaller players have difficulties in accessing this kind of tools. So, it is required that these smaller players can be offered alternative methods to support their decisions. This paper presents a methodology, based on Artificial Neural Networks (ANN), intended to support smaller players’ resource scheduling. The used methodology uses a training set that is built using the energy resource scheduling solutions obtained with a reference optimization methodology, a mixed-integer non-linear programming (MINLP) in this case. The trained network is able to achieve good schedule results requiring modest computational means.

MASCEM - an electricity market simulator providing coalition support for virtual power players

This paper presents MASCEM - a multi-agent based electricity market simulator. MASCEM uses game theory, machine learning techniques, scenario analysis and optimization techniques to model market agents and to provide them with decision-support. This paper mainly focus on the MASCEM ability to provide the means to model and simulate Virtual Power Players (VPP). VPPs are represented as a coalition of agents, with specific characteristics and goals. The paper details some of the most important aspects considered in VPP formation and in the aggregation of new producers and includes a case study based on real data.

An integrated system to support electricity tariff contract definition

This paper presents an integrated system that helps both retail companies and electricity consumers on the definition of the best retail contracts and tariffs. This integrated system is composed by a Decision Support System (DSS) based on a Consumer Characterization Framework (CCF). The CCF is based on data mining techniques, applied to obtain useful knowledge about electricity consumers from large amounts of consumption data. This knowledge is acquired following an innovative and systematic approach able to identify different consumers’ classes, represented by a load profile, and its characterization using decision trees. The framework generates inputs to use in the knowledge base and in the database of the DSS. The rule sets derived from the decision trees are integrated in the knowledge base of the DSS. The load profiles together with the information about contracts and electricity prices form the database of the DSS. This DSS is able to perform the classification of different consumers, present its load profile and test different electricity tariffs and contracts. The final outputs of the DSS are a comparative economic analysis between different contracts and advice about the most economic contract to each consumer class. The presentation of the DSS is completed with an application example using a real data base of consumers from the Portuguese distribution company.

LAID - a smart decision room with ambient intelligence for group decision making and argumentation support considering emotional aspects

Decision Making is one of the most important activities of the human being. Nowadays decisions imply to consider many different points of view, so decisions are commonly taken by formal or informal groups of persons. Groups exchange ideas or engage in a process of argumentation and counter-argumentation, negotiate, cooperate, collaborate or even discuss techniques and/or methodologies for problem solving. Group Decision Making is a social activity in which the discussion and results consider a combination of rational and emotional aspects. In this paper we will present a Smart Decision Room, LAID (Laboratory of Ambient Intelligence for Decision Making). In LAID environment it is provided the support to meeting room participants in the argumentation and decision making processes, combining rational and emotional aspects.

VirtualECare: group support in collaborative networks organizations for digital homecare

Collaborative Work plays an important role in today’s organizations, especially in areas where decisions must be made. However, any decision that involves a collective or group of decision makers is, by itself complex, but is becoming recurrent in recent years. In this work we present the VirtualECare project, an intelligent multi-agent system able to monitor, interact and serve its customers, which are, normally, in need of care services. In last year’s there has been a substantially increase on the number of people needed of intensive care, especially among the elderly, a phenomenon that is related to population ageing. However, this is becoming not exclusive of the elderly, as diseases like obesity, diabetes and blood pressure have been increasing among young adults. This is a new reality that needs to be dealt by the health sector, particularly by the public one. Given this scenarios, the importance of finding new and cost effective ways for health care delivery are of particular importance, especially when we believe they should not to be removed from their natural “habitat”. Following this line of thinking, the VirtualECare project will be presented, like similar ones that preceded it. Recently we have also assisted to a growing interest in combining the advances in information society - computing, telecommunications and presentation – in order to create Group Decision Support Systems (GDSS). Indeed, the new economy, along with increased competition in today’s complex business environments, takes the companies to seek complementarities in order to increase competitiveness and reduce risks. Under these scenarios, planning takes a major role in a company life. However, effective planning depends on the generation and analysis of ideas (innovative or not) and, as a result, the idea generation and management processes are crucial. Our objective is to apply the above presented GDSS to a new area. We believe that the use of GDSS in the healthcare arena will allow professionals to achieve better results in the analysis of one’s Electronically Clinical Profile (ECP). This achievement is vital, regarding the explosion of knowledge and skills, together with the need to use limited resources and get better results.

Auto-regulação na gestão de conflitos em retalho

Mestrado em Engenharia Informática

Gestão documental na logística

Dissertação apresentada ao Instituto Politécnico do Porto para obtenção do Grau de Mestre em Logística Orientada por: Professor Doutor José António Baptista da Costa Coorientada por: Dr. Lourenço Fernando Gomes Pinheiro

Sistema de suporte à negociação numa empresa de prestação de serviços médicos

Nesta dissertação foram estudados métodos de apoio à negociação com o objectivo de encontrar o melhor modelo de negociação para uma empresa prestadora de serviços médicos. O modelo utilizado foi o WinWin e para testar o modelo foi desenvolvido um sistema de apoio à negociação com os clientes. A aplicação foi desenvolvida com o objectivo de conseguir optimizar percursos e reduzir custos, dentro de certas condições, da forma mais eficiente possível, e que fosse de acordo aos interesses do processo de negociação e do contrato com o cliente. Com isto, a aplicação foi testada com 70 contratos, tendo conseguido simular vários grafos que conseguiam alocar todas as consultas dos contratos de forma a respeitar os objectivos impostos por este, e sendo eficientes no sentido de reduzir os custos e tempo de deslocação, diminuindo consequentemente os custos do contrato para o cliente. A redução dos custos para o cliente permite à empresa prestadora de serviços médicos ser mais competitiva face aos seus concorrentes, assim como possuir uma maior margem de manobra face ao processo de negociação, pois também através das simulações conseguem ter uma noção mais precisa dos custos totais de um contrato, diminuindo assim possíveis riscos de um contrato mal estimado.

Gestão de processos e operações

Esta dissertação de Mestrado pretende, numa primeira fase, identificar as condições gerais e os pressupostos da aplicação da ferramenta Análise do Valor (AV) e integrá-la nos Sistemas de Gestão da Qualidade. Pretende-se demonstrar a técnica e aumentar o seu conhecimento, assim como as várias abordagens do processo, as vantagens e os constrangimentos no seu uso, conduzir à ideia que poderá ser útil proceder a uma análise organizada e sistemática dos produtos/serviços existentes nas organizações, abrindo a hipótese a novas soluções para o produto/serviço de mais fácil produção/realização e ensaio ao menor custo. É realçada a importância do conceito da Análise do Valor demonstrando que se pode tornar numa ferramenta eficaz na melhoria dos produtos mas também de processos de fabrico e até em processos administrativos. Sendo a Qualidade entendida como um conjunto de características que um bem, produto ou serviço possui que o tornam apto para satisfazer na plenitude uma dada necessidade do seu utilizador, este trabalho também faz a ligação com os Sistemas de Gestão da Qualidade comparando dois referenciais, a Norma NP EN 12973 e a ISO 9001:2008. Numa segunda fase é realizada uma profunda abordagem à ferramenta QFD – Quality Function Deployment – como uma técnica complementar à aplicação prática da técnica AV e é realizado um estudo a um serviço pós-venda que inclui muitos dos seus conceitos e princípios. O trabalho foi realizado na empresa onde sou colaborador há cerca de 10 anos exercendo o cargo de “Service Manager Press/Post Press” ao departamento de serviço técnico e apoio ao cliente. Foi muito útil a demonstração prática para entendimento das dificuldades sentidas e dos obstáculos a ultrapassar. O trabalho termina com as conclusões do caso prático e as conclusões gerais, mencionando as definições dos aceleradores / obstáculos da aplicação da AV.

Melhoria do processo de atendimento a clientes

Esta dissertação, que foi desenvolvida no seio da Divisão de Equipamento Industrial (DEI) da empresa Toyota Caetano Portugal, S.A. (TCAP), consiste na análise do processo de atendimento a clientes, a partir de uma investigação efectuada no escritório oficinal (EO) do sector Após-Venda Empilhadores (AVE). A recolha de dados, bem como o acompanhamento do processo de atendimento a clientes, têm como objectivo perceber quais as principais dificuldades do processo, para posteriormente ser definida a estratégia a utilizar no sentido de combater os pontos críticos do relacionamento com os clientes. Esta investigação permitiu identificar várias dificuldades no registo de pedidos de assistência, na pesquisa de informação e também no acesso aos dados pelo cliente. Assim, foi criado um protótipo informático com capacidade para dar resposta às deficiências identificadas. Foram analisados os requisitos necessários para o sistema de informação de suporte e transformado o processo de tratamento de dados (pedidos de assistência, pesquisas, acessos…), até aqui manual, num processo automático, inovador e acima de tudo funcional. Pretende-se desta forma, oferecer um serviço de confiança aos clientes gerando uma lealdade duradoura e acrescentar valor à empresa.

Interlimb relation during the double support phase of gait: an electromyographic, mechanical and energy based analysis

The purpose of this study is to analyse the interlimb relation and the influence of mechanical energy on metabolic energy expenditure during gait. In total, 22 subjects were monitored as to electromyographic activity, ground reaction forces and VO2 consumption (metabolic power) during gait. The results demonstrate a moderate negative correlation between the activity of tibialis anterior, biceps femoris and vastus medialis of the trailing limb during the transition between midstance and double support and that of the leading limb during double support for the same muscles, and between these and gastrocnemius medialis and soleus of the trailing limb during double support. Trailing limb soleus during the transition between mid-stance and double support was positively correlated to leading limb tibialis anterior, vastus medialis and biceps femoris during double support. Also, the trailing limb centre of mass mechanical work was strongly influenced by the leading limbs, although only the mechanical power related to forward progression of both limbs was correlated to metabolic power. These findings demonstrate a consistent interlimb relation in terms of electromyographic activity and centre of mass mechanical work, being the relations occurred in the plane of forward progression the more important to gait energy expenditure.

Ferramenta de apoio ao projeto, configuração e gestão de instalações domóticas

Esta dissertação apresenta o trabalho realizado no âmbito da unidade curricular de Tese / Dissertação (TEDI) do Mestrado em Engenharia Eletrotécnica e de Computadores – Especialização em Automação e Sistemas em parceria com a empresa Live Simply, uma empresa de domótica que decidiu apostar na inovação e no desenvolvimento de serviços e produtos de valor acrescentado para consolidar a sua posição no mercado. Neste contexto, foram identificadas como mais-valias para a Live Simply a conceção, por um lado, de uma ferramenta de apoio técnico de integração e simplificação das fases de projeto, configuração e gestão de instalações domóticas e, por outro lado, de uma interface com a instalação para o cliente consultar e alterar, em tempo real, o estado dos atuadores. Depois de analisadas as tecnologias disponíveis, selecionaram-se as soluções a adotar (linguagens de programação, servidores de base de dados e ambientes de desenvolvimento), definiu-se a arquitetura do sistema, detalhando-se os módulos de projeto, configuração e gestão de instalações, a estrutura da base de dados assim como o hardware de controlo da instalação. De seguida, procedeu-se ao desenvolvimento dos módulos de software e à configuração e programação do módulo de hardware. Por último, procedeu-se a um conjunto exaustivo de testes aos diferentes módulos que demonstraram o correto funcionamento da ferramenta e a adequação das tecnologias empregues. A ferramenta de apoio técnico realizada integra as fases do projeto, configuração e gestão de instalações domóticas, permitindo melhorar o desempenho dos técnicos e a resposta aos clientes. A interface oferecida ao dono da instalação é uma interface Web de aspeto amigável e fácil utilização que permite consultar e modificar em tempo real o estado da instalação.