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Publicações

2016

Innovative Experimental Low Cost Electronics Operated Instrumentation for Wearable Health Systems with High Resolution Physiological Measurements

Autores
Cruz, DF; Rodrigues, EMG; Godina, R; Cabrita, CMP; Matias, JCO; Catalao, JPS;

Publicação
2016 IEEE 16TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC)

Abstract
The aim of this paper is to present the development of an innovative experimental reflective pulse oximetry solution targeting wearable health system for daily monitoring purposes. The measurement of two common human physiological indicators is performed, which are the pulse rate and the blood oxygenation level (SpO(2)). The design options are detailed, covering photoplethysmographic (PPG) signals sensing architecture and post- processing digital filter operations. The high resolution of the physiological measures is achieved using sigma delta conversion technique. Conclusions are duly drawn.

2016

Experimental assessment of the components and materials of stone arch railway bridges

Autores
Arede, A; Costa, C; Topa Gomes, AT; Menezes, J; Silva, R; Goncalves, R; Morais, M;

Publicação
MAINTENANCE, MONITORING, SAFETY, RISK AND RESILIENCE OF BRIDGES AND BRIDGE NETWORKS

Abstract

2016

Sampling Evolving Ego-Networks with forgetting Factor

Autores
Tabassum, S; Gama, J;

Publicação
MDM (Workshops)

Abstract

2016

The construction process of the synthetic risk model for military shipbuilding projects in Brazil

Autores
Fernandes, JD; Crispim, J;

Publicação
INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS/INTERNATIONAL CONFERENCE ON PROJECT MANAGEMENT/INTERNATIONAL CONFERENCE ON HEALTH AND SOCIAL CARE INFORMATION SYSTEMS AND TECHNOLOGIES, CENTERIS/PROJMAN / HCIST 2016

Abstract
The scarcity of federal resources allocated to the Ministry of Defense causes the need for Brazilian Armed Forces to implement strategies that may allow achieving "more with less". For the Navy of Brazil, this strategy includes the need to improve and implement risk management tools and techniques in large defense projects. In this sense, the present study aims at contributing to this process through the design and validation of a synthetic risk model for military shipbuilding, containing the main risk events, causes and associated effects that may affect the success of these projects, in terms of costs and deadlines. This model will help in the prediction and control of these variables and their possible effects, enabling the anticipation of responses and the reduction of uncertainty. (C) 2016 The Authors. Published by Elsevier B.V.

2016

Chemometric analysis on free amino acids and proximate compositional data for selecting cowpea (Vigna unguiculata L.) diversity

Autores
Dominguez Perles, R; Machado, N; Abraao, AS; Carnide, V; Ferreira, L; Rodrigues, M; Rosa, EADS; Barros, AIRNA;

Publicação
JOURNAL OF FOOD COMPOSITION AND ANALYSIS

Abstract
Biodiversity of cowpea, along with the interesting agricultural and nutritional properties, has encouraged research with local landraces of Portugal. This work deals with the composition of dry beans of cowpea from 28 different Portuguese cultivars concerning dry matter (DM), crude proteins (CP), fat content (FC), ash, and concentration of free essential and non-essential amino acids. Data obtained on these traits showed contents of DM, FC, ash, and CP in the ranges of 95.7-98.9%, 1.0-1.6%, 2.7-4.7%, and 18.6-26.9%, respectively. The content in free amino acids was evaluated as an indicator of germinating potential of the diverse cultivars assessed. The amino acids content was the highest in the varieties 'Vg50' and 'Vg58'. Cluster and principal component analyses of the data allowed the identification of the most promising Portuguese landraces of cowpea to be used for breeding new varieties with improved germination potential and nutritional traits.

2016

Minimum-Time Path-Following for Highly Redundant Electric Vehicles

Autores
de Castro, R; Tanelli, M; Araújo, RE; Savaresi, SM;

Publicação
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

Abstract
Modern electric vehicles are most often designed with actuator redundancy and in-wheel propulsion, a combination that appears particularly suitable for the design of motion controllers that can optimally blend multiple objectives, such as dynamic, safety and driver-oriented. This paper considers such a technological setting and concentrates on the design of a path-following algorithm with minimum-time features, with the aim of combining performance and energy-oriented optimization of the vehicle motion. Specifically, an approximate minimum-time trajectory is obtained by appropriate convexification of the resulting optimization problem. The effectiveness of the approach is assessed by means of simulation tests carried out on the CarSim vehicle simulation environment.

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