Introducing numerical analysis tools in engineering: a Scilab user case in electronics course

Software tools in education became popular since the widespread of personal computers. Engineering courses lead the way in this development and these tools became almost a standard. Engineering graduates are familiar with numerical analysis tools but also with simulators (e.g. electronic circuits), computer assisted design tools and others, depending on the degree. One of the main problems with these tools is when and how to start use them so that they can be beneficial to students and not mere substitutes for potentially difficult calculations or design. In this paper a software tool to be used by first year students in electronics/electricity courses is presented. The growing acknowledgement and acceptance of open source software lead to the choice of an open source software tool – Scilab, which is a numerical analysis tool – to develop a toolbox. The toolbox was developed to be used as standalone or integrated in an e-learning platform. The e-learning platform used was Moodle. The first approach was to assess the mathematical skills necessary to solve all the problems related to electronics and electricity courses. Analysing the existing circuit simulators software tools, it is clear that even though they are very helpful by showing the end result they are not so effective in the process of the students studying and self learning since they show results but not intermediate steps which are crucial in problems that involve derivatives or integrals. Also, they are not very effective in obtaining graphical results that could be used to elaborate reports and for an overall better comprehension of the results. The developed tool was based on the numerical analysis software Scilab and is a toolbox that gives their users the opportunity to obtain the end results of a circuit analysis but also the expressions obtained when derivative and integrals calculations, plot signals, obtain vector diagrams, etc. The toolbox runs entirely in the Moodle web platform and provides the same results as the standalone application. The students can use the toolbox through the web platform (in computers where they don't have installation privileges) or in their personal computers by installing both the Scilab software and the toolbox. This approach was designed for first year students from all engineering degrees that have electronics/electricity courses in their curricula.

Lanczos algorithm on the grassmann manifold

5th. European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2008) 8th. World Congress on Computational Mechanics (WCCM8)

Computational intelligence applications for future power systems

Power system planning, control and operation require an adequate use of existing resources as to increase system efficiency. The use of optimal solutions in power systems allows huge savings stressing the need of adequate optimization and control methods. These must be able to solve the envisaged optimization problems in time scales compatible with operational requirements. Power systems are complex, uncertain and changing environments that make the use of traditional optimization methodologies impracticable in most real situations. Computational intelligence methods present good characteristics to address this kind of problems and have already proved to be efficient for very diverse power system optimization problems. Evolutionary computation, fuzzy systems, swarm intelligence, artificial immune systems, neural networks, and hybrid approaches are presently seen as the most adequate methodologies to address several planning, control and operation problems in power systems. Future power systems, with intensive use of distributed generation and electricity market liberalization increase power systems complexity and bring huge challenges to the forefront of the power industry. Decentralized intelligence and decision making requires more effective optimization and control techniques techniques so that the involved players can make the most adequate use of existing resources in the new context. The application of computational intelligence methods to deal with several problems of future power systems is presented in this chapter. Four different applications are presented to illustrate the promises of computational intelligence, and illustrate their potentials.

Intelligent power system

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.

Ant colony system based approach to single machine scheduling problems: weighted tardiness scheduling problem

The paper introduces an approach to solve the problem of generating a sequence of jobs that minimizes the total weighted tardiness for a set of jobs to be processed in a single machine. An Ant Colony System based algorithm is validated with benchmark problems available in the OR library. The obtained results were compared with the best available results and were found to be nearer to the optimal. The obtained computational results allowed concluding on their efficiency and effectiveness.

Inexact restoration approaches to solve mathematical program with complementarity constraints

Mathematical Program with Complementarity Constraints (MPCC) finds applica- tion in many fields. As the complementarity constraints fail the standard Linear In- dependence Constraint Qualification (LICQ) or the Mangasarian-Fromovitz constraint qualification (MFCQ), at any feasible point, the nonlinear programming theory may not be directly applied to MPCC. However, the MPCC can be reformulated as NLP problem and solved by nonlinear programming techniques. One of them, the Inexact Restoration (IR) approach, performs two independent phases in each iteration - the feasibility and the optimality phases. This work presents two versions of an IR algorithm to solve MPCC. In the feasibility phase two strategies were implemented, depending on the constraints features. One gives more importance to the complementarity constraints, while the other considers the priority of equality and inequality constraints neglecting the complementarity ones. The optimality phase uses the same approach for both algorithm versions. The algorithms were implemented in MATLAB and the test problems are from MACMPEC collection.

Derivative-free optimization and filter methods to solve nonlinear constrained problems

In real optimization problems, usually the analytical expression of the objective function is not known, nor its derivatives, or they are complex. In these cases it becomes essential to use optimization methods where the calculation of the derivatives, or the verification of their existence, is not necessary: the Direct Search Methods or Derivative-free Methods are one solution. When the problem has constraints, penalty functions are often used. Unfortunately the choice of the penalty parameters is, frequently, very difficult, because most strategies for choosing it are heuristics strategies. As an alternative to penalty function appeared the filter methods. A filter algorithm introduces a function that aggregates the constrained violations and constructs a biobjective problem. In this problem the step is accepted if it either reduces the objective function or the constrained violation. This implies that the filter methods are less parameter dependent than a penalty function. In this work, we present a new direct search method, based on simplex methods, for general constrained optimization that combines the features of the simplex method and filter methods. This method does not compute or approximate any derivatives, penalty constants or Lagrange multipliers. The basic idea of simplex filter algorithm is to construct an initial simplex and use the simplex to drive the search. We illustrate the behavior of our algorithm through some examples. The proposed methods were implemented in Java.

Numerical optimization experiments using the hyperbolic smoothing strategy to solve MPCC

In this work we solve Mathematical Programs with Complementarity Constraints using the hyperbolic smoothing strategy. Under this approach, the complementarity condition is relaxed through the use of the hyperbolic smoothing function, involving a positive parameter that can be decreased to zero. An iterative algorithm is implemented in MATLAB language and a set of AMPL problems from MacMPEC database were tested.

Gestão e monitorização de uma rede departamental: um caso de estudo

Mestrado em Engenharia Electrotécnica e de Computadores

Diagnóstico energético e reengenharia do processo de secagem na fábrica de revestimentos

Este trabalho surgiu no âmbito da Tese de Mestrado em Engenharia Química - Ramo Optimização Energética na Indústria Química, aliando a necessidade da Empresa Monteiro Ribas – Indústrias, S.A. em resolver alguns problemas relacionados com as estufas da unidade J da fábrica de revestimentos. Outro dos objectivos era propor melhorias de eficiência energética neste sector da empresa. Para tal, foi necessário fazer um levantamento energético de toda a unidade, o que permitiu verificar que as estufas de secagem (Recobrimento 1 e 2) seriam o principal objecto de estudo. O levantamento energético da empresa permitiu conhecer o seu consumo anual de energia de 697,9 tep, o que a classifica, segundo o Decreto-lei nº 71 de 15 de Abril de 2008, como Consumidora Intensiva de Energia (CIE). Além disso, as situações que devem ser alvo de melhoria são: a rede de termofluido, que apresenta válvulas sem isolamento, o sistema de iluminação, que não é o mais eficiente e a rede de distribuição de ar comprimido, que não tem a estrutura mais adequada. Desta forma sugere-se que a rede de distribuição de termofluido passe a ter válvulas isoladas com lã de rocha, o investimento total é de 2.481,56 €, mas a poupança pode ser de 21.145,14 €/ano, com o período de retorno de 0,12 anos. No sistema de iluminação propõe-se a substituição dos balastros normais por electrónicos, o investimento total é de 13.873,74 €, mas a poupança é de 2.620,26 €/ano, com período de retorno de 5 anos. No processo de secagem das linhas de recobrimento mediram-se temperaturas de todos os seus componentes, velocidades de ar o que permitiu conhecer a distribuição do calor fornecido pelo termofluido. No Recobrimento 1, o ar recebe entre 39 a 51% do calor total, a tela recebe cerca de 25% e na terceira estufa este é apenas de 6%. Nesta linha as perdas de calor por radiação oscilam entre 6 e 11% enquanto as perdas por convecção representam cerca de 17 a 44%. Como o calor que a tela recebe é muito inferior ao calor recebido pelo ar no Recobrimento 1, propõe-se uma redução do caudal de ar que entra na estufa, o que conduzirá certamente à poupança de energia térmica. No Recobrimento 2 o calor fornecido ao ar representa cerca de 51 a 77% do calor total e o cedido à tela oscila entre 2 e 3%. As perdas de calor por convecção oscilam entre 12 e 26%, enquanto que as perdas por radiação têm valores entre 4 e 8%. No que diz respeito ao calor necessário para evaporar os solventes este oscila entre os 4 e 13%. Os balanços de massa e energia realizados ao processo de secagem permitiram ainda determinar o rendimento das 3 estufas do Recobrimento 1, com 36, 47 e 24% paras as estufa 1, 2 e 3, respectivamente. No Recobrimento 2 os valores de rendimento foram superiores, tendo-se obtido valores próximos dos 41, 81 e 88%, para as estufas 1, 2 e 3, respectivamente. Face aos resultados obtidos propõem-se a reengenharia do processo introduzindo permutadores compactos para aquecer o ar antes de este entrar nas estufas. O estudo desta alteração foi apenas realizado para a estufa 1 do Recobrimento 1, tendo-se obtido uma área de transferência de calor de 6,80 m2, um investimento associado de 8.867,81 €. e uma poupança de 708,88 €/ano, com um período de retorno do investimento de 13 anos. Outra sugestão consiste na recirculação de parte do ar de saída (5%), que conduz à poupança de 158,02 €/ano. Estes valores, pouco significativos, não estimulam a adopção das referidas sugestões.

Reutilização das águas de tingimento utilizando a Nanofiltração

Este trabalho na área dos processos físicos de separação por membranas, nomeadamente, a nanofiltração (NF), tem como objectivo principal a recuperação dos efluentes resultantes das águas da 3ª lavagem utilizadas na operação de tingimento de fibras de algodão, com corantes reactivos. Estão inerentes as problemáticas: da escassez da água como matéria-prima na vertente de água potável; da diminuição de efluentes que necessitam de tratamentos devido à sua carga poluente; da recuperação sempre que seja viável dos produtos químicos adicionados nesta fase de tratamento das fibras de algodão e por último e não menos importante, da energia contida nestes efluentes que vão para o esgoto a temperaturas na ordem dos 50 ºC. A metodologia adoptada na realização deste trabalho consistiu, inicialmente num estudo sobre os trabalhos realizados até hoje nesta área, seguindo-se a recolha dos efluentes na empresa ―Estamparia Têxtil Adalberto Pinto da Silva, S.A.‖ (ETAPS) e posterior estudo da recuperação dos efluentes em causa pelo processo de NF utilizando a membrana NF270-2540 da empresa FILMTEC. Os efluentes estudados no presente trabalho continham corantes reactivos sendo um corante azul-claro (CAC) de composição (Amarelo Bril Remazol GL 150% + Azul Brilhante Remazol BB 133% + Azul Turqueza Remazol G) e o outro corante azul-marinho (CAM) de composição (Preto Remazol B 133% + Vermelho Remazol RGB + Amarelo Ouro Remazol RGB). Estes estudos de recuperação compreenderam basicamente 3 fases: caracterização do efluente recolhido na empresa; tratamento desse efluente utilizando uma instalação piloto de NF de fluxo cruzado ou também conhecido por membrana de fluxo tangencial instalado no Laboratório de Tecnologia (LT) do Instituto Superior de Engenharia do Porto (ISEP), e caracterização dos permeados e dos rejeitados obtidos. A análise de resultados do presente trabalho permitiu concluir ser possível a recuperação e reutilização das 3ª águas de lavagem do processo de tingimento quando tratadas pelo processo de NF a pressões de operação de 6 bar. Nestas circunstâncias os permeados obtidos (tanto no efluente com corante azul-claro como no efluente com corante azul-marinho) apresentam valores, em todos os parâmetros estudados, significativamente abaixo dos valores limites recomendáveis para uma água de abastecimento na Industria Têxtil (IT). Salienta-se reduções mais expressivas nos permeados do corante CAM, com vários parâmetros a sofrerem reduções no intervalo de 98 a 100%, nomeadamente, na cor, turvação, CQO, dureza total, alumínio e manganês. Os resultados obtidos para as pressões de operação de 4 e 8 bar mostram alguns parâmetros com valores acima dos recomendados para uma água de abastecimento na Indústria Têxtil, nomeadamente a cor no corante CAC quando se opera a 4 bar e no corante CAM quando se opera a 8 bar e os sulfatos e ferro no CAM à pressão de 4 bar. Estes resultados mostram ser possível a reutilização da água na própria instalação industrial, trazendo um benefício económico e ambiental, pela redução no consumo de água fresca e energia, além da redução do volume de efluentes que necessitam ser tratados, estando na mesma linha de pensamento de Gross et al (1999), que refere que o uso de membranas para o tratamento de efluentes do processo de tingimento tem como principal objectivo a viabilidade económica, a redução no consumo de água, de sais, de corantes e energia, bem como, a redução do volume de efluentes a ser tratado.

Estudo geotécnico dos solos do vale do Leça no âmbito de uma obra de requalificação portuária

A expansão da área ocupada pelo Porto de Leixões (Matosinhos e Leça da Palmeira), sobre solos muito compressíveis, de origem fluvial e marinha, leva a que seja necessário recorrer à engenharia para encontrar soluções adequadas à utilização de obras dos fins em vista. Assim, na zona do porto são muitos os projectos de engenharia civil/geotécnica executados nestes solos. Como exemplo, podem citar-se a Consolidação do Terrapleno e Construção dos Caminhos de Rolamento do Terminal de Contentores TC4S, a Reabilitação de um troço com 110m, do Cais Sul e do Cais Nascente da Doca nº 4 e a Construção da Portaria Principal do Porto de Leixões, todos no vale fóssil do rio Leça. São vastos os métodos a usar para o melhoramento destes solos, a colocação de colunas de brita, com o objectivo de reforçar o solo, aumentando a sua capacidade de carga e funcionando como drenos verticais, para solucionar o problema das deformações excessivas durante e após o final da obra, uma alternativa consiste em induzir a aceleração da consolidação da camada de solo mole, o uso de pré-carregamento e drenos verticais são usuais. Quando o tempo de concretização da obra exige que o aterro seja utilizado de imediato, uma solução viável é a colocação de estacas, que transferem o peso do aterro, ou parte dele, para camadas mais competentes. Também se pode proceder à retirada do solo original e substituí-lo por outro de qualidade superior. A mais recente técnica de melhoria de solos por injecção - jet grouting - é utilizada em diversas situações, incluindo obras provisórias e definitivas. O presente trabalho visa descrever, em função dos diversos factores, o comportamento do solo face aos vários métodos utilizados e os objectivos pretendidos que serão abordados no enquadramento empírico do trabalho.

Power law and entropy analysis of catastrophic phenomena

Catastrophic events, such as wars and terrorist attacks, tornadoes and hurricanes, earthquakes, tsunamis, floods and landslides, are always accompanied by a large number of casualties. The size distribution of these casualties has separately been shown to follow approximate power law (PL) distributions. In this paper, we analyze the statistical distributions of the number of victims of catastrophic phenomena, in particular, terrorism, and find double PL behavior. This means that the data sets are better approximated by two PLs instead of a single one. We plot the PL parameters, corresponding to several events, and observe an interesting pattern in the charts, where the lines that connect each pair of points defining the double PLs are almost parallel to each other. A complementary data analysis is performed by means of the computation of the entropy. The results reveal relationships hidden in the data that may trigger a future comprehensive explanation of this type of phenomena.

Adsorption kinetics of removal of yellow lanasol dyestuff using gallinaceous feathers

Gallinaceous feathers are an abundant solid waste from the poultry processing industries, which poses disposal problems. A kinetic study dealing with the adsorption process of wool reactive dye, Yellow Lanasol 4G (CI Reactive Yellow 39), on gallinaceous (Gallus gallus, Cobb 500) feathers was carried out. The main research goals of this work were to evaluate the viability of using this waste as adsorbent and to study the kinetics of the adsorption process, using a synthetic effluent. The characterization of feathers was performed by scanning electron microscopy, mercury porosimetry and B.E.T. method. The study of several factors (stirring, particles size, initial dye concentration and temperature) showed their influence over the adsorption process. An adapted version of the Schumckler and Goldstein´s unreacted core model fitted the experimental data. The best fit was obtained when the rate-limiting step was the diffusion through the reacted layer, which was expected considering the size of the dyestuff molecules. The comparison with the granular activated carbon (GAC) Sutcliffe GAC 10-30 indicate that in spite of the high adsorption capacities shown by feathers the GAC presented higher values, the values obtained were respectively 150 and 219 mg g-1, for an initial concentration of 500 mg L-1. The results obtained might open future perspectives both to the valorization of feathers and to the economical treatment of textile wastewaters.

A distributed system for learning programming on-line

Several Web-based on-line judges or on-line programming trainers have been developed in order to allow students to train their programming skills. However, their pedagogical functionalities in the learning of programming have not been clearly defined. EduJudge is a project which aims to integrate the “UVA On-line Judge”, an existing on-line programming trainer with an important number of problems and users, into an effective educational environment consisting of the e-learning platform Moodle and the competitive learning tool QUESTOURnament. The result is the EduJudge system which allows teachers to apply different pedagogical approaches using a proven e-learning platform, makes problems easy to search through an effective search engine, and provides an automated evaluation of the solutions submitted to these problems. The final objective is to provide new learning strategies to motivate students and present programming as an easy and attractive challenge. EduJudge has been tried and tested in three algorithms and programming courses in three different Engineering degrees. The students’ motivation and satisfaction levels were analysed alongside the effects of the EduJudge system on students’ academic outcomes. Results indicate that both students and teachers found that among other multiple benefits the EduJudge system facilitates the learning process. Furthermore, the experi- ment also showed an improvement in students’ academic outcomes. It must be noted that the students’ level of satisfaction did not depend on their computer skills or their gender.