This paper presents some results of a research aimed at investigating methodologies and tools to support the application of Design for Sustainability principles adapted to the real conditions of Brazilian small and medium enterprises.
The direct comparison of forecast accuracies between the statistical ARMA/GARCH forecasting model and its neural representation shows that both investigated methodologies yield very little MAPE values.
The aim of the CyberHand is to investigate methodologies that go beyond this straightforward approach of functional replacement and to ultimately connect the hand with the human brain.
The investigated methodology shows promise for real-time deformation measurements in composites at the micro-scale.
The adequacy of the investigated methodology is evaluated on a real world case study involving hydrometric stations from southern Quebec, Canada.
Forecasting of localized debris congestion in the geostationary (GEO) ring is performed to formulate and investigate methodology for identifying the debris objects that pose the highest risk to operational satellites in this ring.
The investigated methodology was evaluated for 360 cases measured during the time of six subsequent years (2001 2006) in a 5 ha experimental cotton field, in predicting the yield class between two possible categories ("low" and "high").
