E-assessment in mathematics courses with multiple-choice questions tests

With the implementation of the Bologna Process several challenges have been posed to higher education institution, particularly in Portugal. One of the main implications is related to the change of the paradigm of a teacher centered education, to a paradigm that is student centered. This change implies the change of the way to assess courses in higher education institutions. Continuous and formative assessments emerged as the focus, catalyzed by electronic assessment, or e-assessment. This paper presents a case of the implementation of an e-assessment strategy, implemented in order to allow continuous, formative assessment in numerous mathematics classes using multiple-choice questions tests implement in Moodle open-source learning management system. The implementation can be considered a success.

Impacto Ambiental do Processo de Tingimento de uma Indústria de Curtumes e Avaliação do Desempenho da ETAR

Um dos objetivos desta dissertação de mestrado foi avaliar o impacto ambiental do processo de tingimento usado na indústria de curtumes, em termos de volume de efluente produzido e sua carga poluente. Pretendeu-se também encontrar alternativas ao nível do processo de tingimento que levem a uma melhoria na qualidade do efluente produzido. Outro objetivo deste trabalho foi avaliar o funcionamento da ETAR existente na empresa JR Fontes, no que diz respeito aos parâmetros em estudo (carência química de oxigénio - CQO, pH, crómio e teor de sólidos suspensos totais - SST), propondo alterações que permitam respeitar os valores de emissão exigidos na licença de descarga da empresa. Verificou-se que o processo de tingimento aplicado pela empresa JR Fontes é muito poluente, em termos de carga orgânica e matéria em suspensão. Este facto é comprovado pelos resultados obtidos para os três processos estudados: Montana, Galáctico e Navak. Todos os processos apresentam um efluente com pH ácido (aproximado a 3) e valores de CQO superiores a 3550 mg O2/L, sendo o processo Navak aquele que apresenta o valor mais alto para o banho composto, 8362 mg O2/L. Relativamente ao teor de crómio, o banho de recurtume com concentração mais elevada de crómio total é o banho 1 do processo Navak, com 2297 mg/L, sendo que a concentração destes banhos é sempre elevada, igual ou superior a 746 mg/L. No que diz respeito à matéria em suspensão, o processo Navak é novamente o mais poluente, com um valor de 3842 mg SST/L, não sendo obtidos nos outros processos, valores inferiores a 1205 mg SST/L. Na realização de um processo alternativo de tingimento verificou-se que é possível diminuir a carga orgânica do efluente originado. A aplicação de recurtumes sintéticos deu origem a efluentes menos poluentes. O melhor valor obtido para a CQO foi de 1113 mg O2/L, sendo obtidos valores não superiores a 7185 mg O2/L para processos de características semelhantes aos aplicados nesta indústria. Relativamente à ETAR, apesar das restrições ao funcionamento que esta apresenta, no geral pode ser considerada eficiente, embora não consiga atingir o objetivo pretendido de remoção para a CQO, ou seja o valor de 1100 mg O2/L. Nos restantes parâmetros é cumprido o limite de emissão (350 mg SST/L, pH entre 6 e 9 e 2 mg Cr/L para o crómio total): os SST apresentam o valor de 98 mg SST/L, o crómio total de 1,2 mg Cr/L e o pH encontra-se entre 8 e 9. São aqui feitas duas abordagens para solucionar os problemas existentes na ETAR. A primeira considera um ajuste no tratamento e equipamentos existentes, através da reconstrução do tanque de equalização, da substituição do coagulante por sulfato ferroso e da reconstrução do sedimentador, assim como a substituição das tubagens por umas de maior diâmetro, solucionando assim problemas de manutenção de toda a instalação e do incumprimento da legislação. A outra abordagem implica a substituição do sistema de afinação existente, os filtros de areia e carvão ativados, por um sistema de membranas de ultrafiltração ou por dois filtros de carvão ativado. Para tratar um efluente com um valor de CQO de 3000 mg O2/L com o carvão estudado, seriam necessários 132 kg de carvão por coluna, aproveitando-se os equipamentos existentes. No caso das membranas filtrantes, estas são eficazes, reduzindo a CQO em cerca de 70%. Ao contrário do carvão, a aplicação deste sistema implicaria a aquisição de novos equipamentos. Futuramente propõe-se a avaliação dos vários tipos de reagentes usados no tingimento de couro de forma a aplicar no tratamento aqueles que produzam as características desejadas no produto final e a que apresentem um menor resultado de CQO. Propõe-se também o estudo de viabilidade da remoção de crómio dos banhos de recurtume e consequente avaliação da aplicabilidade de um tratamento biológico em substituição ou como complemento do tratamento existente.

Feature Extraction in Densely Sensed Environments: Extensions to Multiple Broadcast Domains

The vision of the Internet of Things (IoT) includes large and dense deployment of interconnected smart sensing and monitoring devices. This vast deployment necessitates collection and processing of large volume of measurement data. However, collecting all the measured data from individual devices on such a scale may be impractical and time consuming. Moreover, processing these measurements requires complex algorithms to extract useful information. Thus, it becomes imperative to devise distributed information processing mechanisms that identify application-specific features in a timely manner and with a low overhead. In this article, we present a feature extraction mechanism for dense networks that takes advantage of dominance-based medium access control (MAC) protocols to (i) efficiently obtain global extrema of the sensed quantities, (ii) extract local extrema, and (iii) detect the boundaries of events, by using simple transforms that nodes employ on their local data. We extend our results for a large dense network with multiple broadcast domains (MBD). We discuss and compare two approaches for addressing the challenges with MBD and we show through extensive evaluations that our proposed distributed MBD approach is fast and efficient at retrieving the most valuable measurements, independent of the number sensor nodes in the network.

Testing Nelder-Mead Based Repulsion Algorithms for Multiple Roots of Nonlinear Systems via a Two-Level Factorial Design of Experiments

This paper addresses the challenging task of computing multiple roots of a system of nonlinear equations. A repulsion algorithm that invokes the Nelder-Mead (N-M) local search method and uses a penalty-type merit function based on the error function, known as 'erf', is presented. In the N-M algorithm context, different strategies are proposed to enhance the quality of the solutions and improve the overall efficiency. The main goal of this paper is to use a two-level factorial design of experiments to analyze the statistical significance of the observed differences in selected performance criteria produced when testing different strategies in the N-M based repulsion algorithm. The main goal of this paper is to use a two-level factorial design of experiments to analyze the statistical significance of the observed differences in selected performance criteria produced when testing different strategies in the N-M based repulsion algorithm.

Waste collection routing-limited multiple landfills and heterogeneous fleet

This article deals with a real-life waste collection routing problem. To efficiently plan waste collection, large municipalities may be partitioned into convenient sectors and only then can routing problems be solved in each sector. Three diverse situations are described, resulting in three different new models. In the first situation, there is a single point of waste disposal from where the vehicles depart and to where they return. The vehicle fleet comprises three types of collection vehicles. In the second, the garage does not match any of the points of disposal. The vehicle is unique and the points of disposal (landfills or transfer stations) may have limitations in terms of the number of visits per day. In the third situation, disposal points are multiple (they do not coincide with the garage), they are limited in the number of visits, and the fleet is composed of two types of vehicles. Computational results based not only on instances adapted from the literature but also on real cases are presented and analyzed. In particular, the results also show the effectiveness of combining sectorization and routing to solve waste collection problems.

Analyzing Multiple Outcomes: Is it Really Worth the use of Multivariate Linear Regression?

In health related research it is common to have multiple outcomes of interest in a single study. These outcomes are often analysed separately, ignoring the correlation between them. One would expect that a multivariate approach would be a more efficient alternative to individual analyses of each outcome. Surprisingly, this is not always the case. In this article we discuss different settings of linear models and compare the multivariate and univariate approaches. We show that for linear regression models, the estimates of the regression parameters associated with covariates that are shared across the outcomes are the same for the multivariate and univariate models while for outcome-specific covariates the multivariate model performs better in terms of efficiency.

A Multiple Criteria Utility-based Approa h for the Unit Commitment with Wind Power and Pumped Storage Hydro

The integration of wind power in eletricity generation brings new challenges to unit commitment due to the random nature of wind speed. For this particular optimisation problem, wind uncertainty has been handled in practice by means of conservative stochastic scenario-based optimisation models, or through additional operating reserve settings. However, generation companies may have different attitudes towards operating costs, load curtailment, or waste of wind energy, when considering the risk caused by wind power variability. Therefore, alternative and possibly more adequate approaches should be explored. This work is divided in two main parts. Firstly we survey the main formulations presented in the literature for the integration of wind power in the unit commitment problem (UCP) and present an alternative model for the wind-thermal unit commitment. We make use of the utility theory concepts to develop a multi-criteria stochastic model. The objectives considered are the minimisation of costs, load curtailment and waste of wind energy. Those are represented by individual utility functions and aggregated in a single additive utility function. This last function is adequately linearised leading to a mixed-integer linear program (MILP) model that can be tackled by general-purpose solvers in order to find the most preferred solution. In the second part we discuss the integration of pumped-storage hydro (PSH) units in the UCP with large wind penetration. Those units can provide extra flexibility by using wind energy to pump and store water in the form of potential energy that can be generated after during peak load periods. PSH units are added to the first model, yielding a MILP model with wind-hydro-thermal coordination. Results showed that the proposed methodology is able to reflect the risk profiles of decision makers for both models. By including PSH units, the results are significantly improved.