Adding local priority-based dispatching mechanisms to P-NET networks: a fixed priority approach

In this paper we address the real-time capabilities of P-NET, which is a multi-master fieldbus standard based on a virtual token passing scheme. We show how P-NET’s medium access control (MAC) protocol is able to guarantee a bounded access time to message requests. We then propose a model for implementing fixed prioritybased dispatching mechanisms at each master’s application level. In this way, we diminish the impact of the first-come-first-served (FCFS) policy that P-NET uses at the data link layer. The proposed model rises several issues well known within the real-time systems community: message release jitter; pre-run-time schedulability analysis in non pre-emptive contexts; non-independence of tasks at the application level. We identify these issues in the proposed model and show how results available for priority-based task dispatching can be adapted to encompass priority-based message dispatching in P-NET networks.

Introducing the fractional-order Darwinian PSO

One of the most well-known bio-inspired algorithms used in optimization problems is the particle swarm optimization (PSO), which basically consists on a machinelearning technique loosely inspired by birds flocking in search of food. More specifically, it consists of a number of particles that collectively move on the search space in search of the global optimum. The Darwinian particle swarm optimization (DPSO) is an evolutionary algorithm that extends the PSO using natural selection, or survival of the fittest, to enhance the ability to escape from local optima. This paper firstly presents a survey on PSO algorithms mainly focusing on the DPSO. Afterward, a method for controlling the convergence rate of the DPSO using fractional calculus (FC) concepts is proposed. The fractional-order optimization algorithm, denoted as FO-DPSO, is tested using several well-known functions, and the relationship between the fractional-order velocity and the convergence of the algorithm is observed. Moreover, experimental results show that the FO-DPSO significantly outperforms the previously presented FO-PSO.

From local to global importance measures of uncertainty propagation in composite structures

The influence of uncertainties of input parameters on output response of composite structures is investigated in this paper. In particular, the effects of deviations in mechanical properties, ply angles, ply thickness and on applied loads are studied. The uncertainty propagation and the importance measure of input parameters are analysed using three different approaches: a first-order local method, a Global Sensitivity Analysis (GSA) supported by a variance-based method and an extension of local variance to estimate the global variance over the domain of inputs. Sample results are shown for a shell composite laminated structure built with different composite systems including multi-materials. The importance measures of input parameters on structural response based on numerical results are established and discussed as a function of the anisotropy of composite materials. Needs for global variance methods are discussed by comparing the results obtained from different proposed methodologies. The objective of this paper is to contribute for the use of GSA techniques together with low expensive local importance measures.

Self-adaptive combination of global tabu search and local search for nonlinear equations

Solving systems of nonlinear equations is a very important task since the problems emerge mostly through the mathematical modelling of real problems that arise naturally in many branches of engineering and in the physical sciences. The problem can be naturally reformulated as a global optimization problem. In this paper, we show that a self-adaptive combination of a metaheuristic with a classical local search method is able to converge to some difficult problems that are not solved by Newton-type methods.

A genetic algorithm for the job shop scheduling with a new local search using Monte Carlo method

This paper presents a methodology for applying scheduling algorithms using Monte Carlo simulation. The methodology is based on a decision support system (DSS). The proposed methodology combines a genetic algorithm with a new local search using Monte Carlo Method. The methodology is applied to the job shop scheduling problem (JSSP). The JSSP is a difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms. The methodology is tested on a set of standard instances taken from the literature and compared with others. The computation results validate the effectiveness of the proposed methodology. The DSS developed can be utilized in a common industrial or construction environment.

Combining global tabu search with local search for solving systems of equalities and inequalities

This papers aims at providing a combined strategy for solving systems of equalities and inequalities. The combined strategy uses two types of steps: a global search step and a local search step. The global step relies on a tabu search heuristic and the local step uses a deterministic search known as Hooke and Jeeves. The choice of step, at each iteration, is based on the level of reduction of the l2-norm of the error function observed in the equivalent system of equations, compared with the previous iteration.

Controlo interno na Administração Local implantação de um novo procedimento numa Autarquia

Trabalho de Projeto Apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação do Mestre Carlos Mendes e coorientação da Engª Sónia Rodrigues

Utilization of food industry wastes for the production of zero-valent iron nanoparticles

The proper disposal of the several types of wastes produced in industrial activities increases production costs. As a consequence, it is common to develop strategies to reuse these wastes in the same process and in different processes or to transform them for use in other processes. This work combines the needs for new synthesis methods of nanomaterials and the reduction of production cost using wastes from citrine juice (orange, lime, lemon and mandarin) to produce a new added value product, green zero-valent iron nanoparticles that can be used in several applications, including environmental remediation. The results indicate that extracts of the tested fruit wastes (peel, albedo and pulp fractions) can be used to produce zero-valent iron nanoparticles (nZVIs). This shows that these wastes can be an added value product. The resulting nZVIs had sizes ranging from 3 up to 300 nm and distinct reactivities (pulp > peel > albedo extracts). All the studied nanoparticles did not present a significant agglomeration/settling tendency when compared to similar nanoparticles, which indicates that they remain in suspension and retain their reactivity.

Proposta de alteração ao Decreto-Lei 39/2008 e da Portaria 517/2008: RJAL - Alojamento Local

Trabalho de natureza profissional para a atribuição do Título de Especialista do Instituto Politécnico do Porto, na área de Hotelaria e Restauração, defendido a 15-12-2013.

Local Fractional Variational Iteration Method for Local Fractional Poisson Equations in Two Independent Variables

The local fractional Poisson equations in two independent variables that appear in mathematical physics involving the local fractional derivatives are investigated in this paper. The approximate solutions with the nondifferentiable functions are obtained by using the local fractional variational iteration method.

Seroprevalência da Brucelose nos últimos cinco anos na Unidade Local de Saúde do Alto-Minho

A brucelose é uma zoonose com elevada importância, causada por bactérias gram-negativas que são altamente patogénicas para uma grande variedade de animais e humanos. Existem zonas endémicas onde esta se prolifera com mais facilidade. Neste estudo os dados são relativos ao distrito de Viana do Castelo, os dados são recolhidas da base de dados da Unidade Local de Saúde do Alto-Minho, uma zona não considerada endémica. Os animais infetados são a principal fonte de contaminação e dispersão da brucelose, é necessário uma reduzida carga bacteriana para ocorrer a infeção. Trata-se de uma doença que está longe de ser erradicada, impondo-se tomar medidas preventivas em relação à contaminação. Os testes usados na sua deteção podem ser alterados e melhorados de acordo com o estádio da doença. Na ULSAM são usados o teste de Wright e eventualmente a pesquisa microbiológica da bactéria Brucella. É pertinente saber o número de testes positivos que ocorrem por ano, se existe alguma sazonalidade relacionada com a doença, assim como, relacionar os parâmetros bioquímicos com um teste de Wright positivo. Os dados foram recolhidos entre o ano 2009-2013 com um número total de testes de 1035, dos quais o número total de positivos para o teste são 102, mas apenas trinta são positivos com significância. Os dados foram recolhidos através do programa Clinidata utilizado como base de armazenamento de dados da ULSAM e foram tratados estatisticamente com o programa SPSS juntamente com o Excel. Este estudo permitiu concluir que o número de casos em 2009 e 2010 era superior aos restantes anos, o que descreve uma tendência para diminuição do número de casos de brucelose atualmente no distrito de Viana do Castelo. Em relação a sazonalidade, os meses que apresentam uma percentagem superior a 50% em relação seroprevalência são os meses de Junho, Novembro e Dezembro. Os resultados revelam como declarado pela Organização Mundial de Saúde que o Distrito de Viana do Castelo não é uma zona endémica. Através da análise estatística foi possível concluir que um dos parâmetros bioquímicos, neste caso o número de leucócitos, poderá estar diretamente relacionado com um teste de Wright positivo, uma vez que, 37% da amostra de testes positivos revelam leucopenia.

Segurança Alimentar no Quotidiano das Famílias Amarantinas

Dissertação de Mestrado em Gestão Integrada da Qualidade, Ambiente e Segurança

Local Fractional Variational Iteration Method for Local Fractional Poisson Equations in Two Independent Variables

The local fractional Poisson equations in two independent variables that appear in mathematical physics involving the local fractional derivatives are investigated in this paper. The approximate solutions with the nondifferentiable functions are obtained by using the local fractional variational iteration method.

Nonlinear Dynamics for Local Fractional Burgers Equation Arising in Fractal Flow

The local fractional Burgers’ equation (LFBE) is investigated from the point of view of local fractional conservation laws envisaging a nonlinear local fractional transport equation with a linear non-differentiable diffusion term. The local fractional derivative transformations and the LFBE conversion to a linear local fractional diffusion equation are analyzed.

Estágio profissional na administração local

Relatório de Estágio apresentado ao Instituto Superior de Contabilidade e Administração do Porto para a obtenção do Grau de Mestre em Auditoria Orientador: Professor Coordenador Rodrigo Mário Oliveira Carvalho