Search

El proyecto trata sobre la metodología del diseño, diseño del proceso de fabricación y diseño del proceso de implantación de varios sistemas de seguridad pasiva de un vehículo eléctrico.

The assessment of forest biomass has important consequences for climate-related policies, including conservation and activities related to deforestation and forest degradation. Tree and forest biomass are most efficiently assessed by a combination of remote-sensing, ground-based measurements and allometric models to predict tree and forest characteristics such as tree volume and biomass. The accuracy of these allometric models and therefore of biomass estimates can be improved greatly if wood density is used as an input variable. It is the most commonly used species functional trait in multispecies biomass models, which are frequently used in tropical ecosystems. However, wood density is difficult to measure accurately and thus is not included in large-scale forest inventories. This issue can be bypassed by using species average values, but often wood density values are only available at coarse taxonomic and/or spatial scales. Applying regional multi-species averages reintroduces to the models the potential bias originally removed by the use of wood density values. Therefore more wood density data is needed to cover the diversity of species and environments. This paper presents the work carried out to complement current initiatives aiming to collect, harmonize and share existing wood density data stored in national research institutes across the tropics. The database compiles raw data and calculated averages, with 70 information fields including GPS coordinates, measurement methods and sample size, when available, for a wide range of taxonomic and environmental values. Where precision in both taxonomic and environmental scales remains difficult to meet, the trade-off between the two can be better understood as the database includes both very accurate data and coarse averages. This database will improve forest biomass estimates, towards increasing the potential of climate change mitigation initiatives in the forestry sector.

International audience; A Leak Detection and Isolation (LDI) algorithm with a State Observer is designed and tested in simulation to locate a water-leak on a pipeline. Most of the works presented in the literature make some linearization in the model limiting the performance of the approach. In order to avoid this situation, in this work, the State Estimation is designed with the nonlinear model using an observer based on robust sliding mode differentiators. The approach assumes only flow and pressure sensors at the ends of the duct, and simulation results with synthetic data obtained from a pipeline simulator are presented to assess the method efficiency. The proposed scheme ensures finite time convergence of the observer and the reduction of chattering effect.

Diseño, cálculo y modelado de un elevador tipo tijera para vehículos de hasta 3000 Kg de peso con la herramienta de CAD SolidWorks.