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Now showing items 4021-4030 of 4050
Real Time Direct Kinematic Problem Computation of the 3PRS robot Using Neural Networks
(Elsevier, 2018-01-03)
The reliable calculation of the Direct Kinematic Problem (DKP) is one of the main challenges for the implementation of Real-Time (RT) controllers in Parallel Robots. The DKP estimates the pose of the end effector of the ...
An insight into the reactions occurring during the chemical activation of bone char
(Elsevier, 2014-04-24)
The valorisation of animal wastes by pyrolysis has shown to be of interest, due to the versatility of the main compound of char, hydroxyapatite (HAP), which can be used in catalysis, electrochemistry, and adsorption. The ...
Systematic modeling of photovoltaic modules based on artificial neural networks
(Elsevier, 2016-06-03)
Using accurate models of photovoltaic modules is of major importance to make realistic simulations of these systems in order to study their elements for a better performance. In this paper we address the problem of the ...
Isotopic evidence for the reconstruction of diet and mobility during village formation in the Early Middle Ages: Las Gobas (Burgos, northern Spain)
(Springer, 2017-07-10)
Strontium, carbon, and nitrogen isotopes of human bone and tooth remains have been used to reconstruct residential mobility and diet of early medieval populations at Las Gobas from the sixth to eleventh centuries. Most ...
Dead horse, man-at-arms lost: cavalry and battle tactics in 15th century Castile
(Taylor & Francis, 2019-06-21)
For a long time historiography has stood up for Late Medieval
Castilian tactical backwardness with the insufficient research into
Castilian military tactics contributing to the persistence of old
paradigms. The aim of ...
Video Image Enhancement and Machine Learning Pipeline for Underwater Animal Detection and Classification at Cabled Observatories
(MDPI, 2020-01-28)
An understanding of marine ecosystems and their biodiversity is relevant to sustainable use of the goods and services they offer. Since marine areas host complex ecosystems, it is important to develop spatially widespread ...
Pitch Based Wind Turbine Intelligent Speed Setpoint Adjustment Algorithms
(MDPI, 2014-06)
This work is aimed at optimizing the wind turbine rotor speed setpoint algorithm. Several intelligent adjustment strategies have been investigated in order to improve a reward function that takes into account the power ...
Vanadium Redox Flow Batteries: A Review Oriented to Fluid-Dynamic Optimization
(MDPI, 2020-12-31)
Large-scale energy storage systems (ESS) are nowadays growing in popularity due to the increase in the energy production by renewable energy sources, which in general have a random intermittent nature. Currently, several ...
Prediction of Aboveground Biomass from Low-Density LiDAR Data: Validation over P. radiata Data from a Region North of Spain
(MDPI, 2019-09-19)
Estimation of forestry aboveground biomass (AGB) by means of aerial Light Detection and Ranging (LiDAR) data uses high-density point sampling data obtained in dedicated flights, which are often too costly for available ...
Computational Methods for Modelling and Optimization of Flow Control Devices
(MDPI, 2020-07-19)
Over the last few years, the advances in size and weight for wind turbines have led to the development of flow control devices. The current work presents an innovative method to model flow control devices based on a cell-set ...