Implementation of thr INSPIRE Directive on road infrastructure in Portugal

Prémio - CEN/TC 287 AWARD FOR EXCELLENCE IN INSIRE 2012 Implementation of the INSPIRE Directive on Road Infrastructure in Portugal Inês Soares, aluna de Mestrado em engenharia civil do ISEL, Instituto Superior de Engenharia de Lisboa e Paulo Martins, e o seu orientador, receberam um prémio europeu, no dia 27 de junho, em Istambul na Turquia, numa conferência internacional organizada pela Comissão Europeia e pelo governo Turco.  A jovem portuguesa foi escolhida entre cerca de 20 candidatos de vários países. Paulo Matos Martins, professor no ISEL, além de mentor do trabalho premiado, foi orientador de mestrado da aluna e explica que se trata de um estudo sobre a aplicação da Diretiva comunitária INSPIRE à infraestrutura rodoviária nacional que contou com a estreita colaboração do InIR, Instituto da Infraestrutura Rodoviária através da coorientação da engenheira Adelaide Costa e colaboração técnica do engenheiro Rui Luso Soares.  O projeto-piloto correspondeu à criação de uma aplicação informática que permite aceder a informação geográfica harmonizada relativa à infraestrutura rodoviária nacional, de acordo com as disposições de execução INSPIRE, dando cumprimento aos requisitos impostos pela Diretiva às entidades responsáveis por este tipo de informação, entre as quais se incluem diversos organismos públicos (podendo no futuro vir a incluir as autarquias), permitindo aos decisores políticos e a todos os cidadãos o fácil acesso a informação de qualidade sobre as infraestruturas, o território e o ambiente. 

Gestão da segurança e saúde no trabalho em trabalhos de beneficiação rodoviária: perfil de autoestrada e a aplicação dos princípios gerais da prevenção à fase de execução da obra

Mestrado em Segurança e Higiene no Trabalho

Assessment of workers’ exposure to Aflatoxin B1 in a Portuguese waste industry

Aflatoxin B1 (AFB1) is considered by different International Agencies as a genotoxic and potent hepatocarcinogen. However, despite the fact that the fungi producing this compound are detected in some work environments, AFB1 is rarely monitored in occupational settings. The aim of the present investigation was to assess exposure to AFB1 of workers from one Portuguese waste company located in the outskirt of Lisbon. Occupational exposure assessment to AFB1 was done with a biomarker of internal dose that measures AFB1 in the serum by enzyme-linked immunosorbent assay. Forty-one workers from the waste company were enrolled in this study (26 from sorting; 9 from composting; 6 from incineration). A control group (n = 30) was also considered in order to know the AFB1 background levels for the Portuguese population. All the workers showed detectable levels of AFB1 with values ranging from 2.5ng ml−1 to 25.9ng ml−1 with a median value of 9.9±5.4ng ml−1. All of the controls showed values below the method’s detection limit. Results obtained showed much higher (8-fold higher) values when compared with other Portuguese settings already studied, such as poultry and swine production. Besides this mycotoxin, other mycotoxins are probably present in this occupational setting and this aspect should be taken into consideration for the risk assessment process due to possible synergistic reactions. The data obtained suggests that exposure to AFB1 occurs in a waste management setting and claims attention for the need of appliance of preventive and protective safety measures.

Road lane detection for autonomous robot guidance

Computational Vision stands as the most comprehensive way of knowing the surrounding environment. Accordingly to that, this study aims to present a method to obtain from a common webcam, environment information to guide a mobile differential robot through a path similar to a roadway.

A Spatial Econometrics Analysis for Road Accidents in Lisbon

This paper presents a spatial econometrics analysis for the number of road accidents with victims in the smallest administrative divisions of Lisbon, considering as a baseline a log-Poisson model for environmental factors. Spatial correlation on data is investigated for data alone and for the residuals of the baseline model without and with spatial-autocorrelated and spatial-lagged terms. In all the cases no spatial autocorrelation was detected.

Road lane detection for autonomous robot guidance

Computational Vision stands as the most comprehensive way of knowing the surrounding environment. Accordingly to that, this study aims to present a method to obtain from a common webcam, environment information to guide a mobile differential robot through a path similar to a roadway.

Evaluation of lung function abnormalities prevalence in poultry workers

Introduction - Poultry workers can be at an increased risk of occupational respiratory diseases, like asthma, chronic obstructive pulmonary disease and extrinsic allergic alveolitis. Spirometry screening is fundamental to early diagnosis trough the identification of related ventilatory defects. Purpose - We aimed to assess the prevalence of lung function abnormalities in poultry workers.