Polytechnic Institute of Lisbon

About: Polytechnic Institute of Lisbon is a education organization based out in Lisbon, Portugal. It is known for research contribution in the topics: Monetary policy & New Keynesian economics. The organization has 261 authors who have published 368 publications receiving 3569 citations. The organization is also known as: Polytechnical Institute of Lisbon.

Exploiting the FAMOUSO middleware in multi-robot application development with Matlab/Simulink

Abstract: We describe a framework for the development of distributed systems combining real and virtual components, sensors and actuators. We show the benefits of our approach for the development and validation of multi robot applications. Based on our middleware, which provides a flexible communication for distributed systems, virtual and real components are seamlessly exchangeable during different development steps. This modularity and compatibility allows appropriate adjustments for design, rapid prototyping and examination as soon as an opportunity to reduce the hardware effort for large scenarios.

An approach to fault diagnosis of rolling bearings

Abstract: The present paper aims to demonstrate why usually when theoretical mathematical models are used to compute the frequencies corresponding to a faulty rolling bearing a deviation is obtained between the computed values and the real frequencies emitted by such a device. A laboratory rolling bearing test ring has been developed to perform the current studies. From the obtained results we highlight the impact of the cage rotation frequency on the referred deviation of measured values from the theoretical ones.

Are Money Smart People Satisfied with Pay and Life? A Theory of Monetary Intelligence

Abstract: In this study, we develop a theory of Monetary Intelligence, and explore satisfaction with pay and life from the virtuous money smart perspective: In order to enjoy high pay satisfaction and life s...

Local Bifurcations and Global Dynamics in a Solow-type Endogenous Business Cycles Model

Abstract: Neoclassical growth models are essentially characterized by the formation of a steady state where the main economic aggregates (capital, output, consumption and investment) do not grow, unless some external event takes place (e.g., technological progress or population growth). Hence, the long term result corresponds to a fixed point and any kind of endogenous fluctuations is ruled out. This paper introduces an inefficiency mechanism through which non perfect firmsi¯ expectations about future demand conduct to underinvestment, which originates periodic and a-periodic long run cycles; this mechanism is applied over the simplest neoclassical growth model, the Solow equation regarding capital accumulation. Results, containing a large variety of dynamic features, are discussed through the analysis of local bifurcations and through numerical examples that give insights about global dynamics.

Prevalence of Aspergillus fumigatus complex in waste sorting and incineration plants: an occupational threat

Abstract: Aspergillus fumigatus is one of the major ubiquitous saprophytic fungi and it is considered one of the fungal species with higher clinical relevance. This study aimed at characterising the prevalence of A. fumigatus complex in one waste-sorting plant and also in one incineration plant. Conventional and molecular methodologies were applied in order to detect its presence. Aspergillus fumigatus complex was the second most frequently found in the air from the waste-sorting plant (16.0%) and from the incineration plant (18.0%). Regarding surfaces, it ranked the third species most frequently found in the waste-sorting plant (13.8%) and the second in the incineration plant (22.3%). In the waste-sorting plant, it was possible to amplify by qPCR DNA from the A. fumigatus complex in all culture-positive sampling sites plus one other sampling site that was negative by culture analysis. Considering the observed fungal load, it is recommended to apply preventive and protective measures in order to avoid or minimise worker's exposure.