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A modeling methodology to evaluate the impact of temperature on Solar Home Systems for rural electrification
(2018)
Solar Home Systems (SHS) have recently gained prominence as the most promising solution for increasing energy access in remote, off-grid communities. However, the higher than standard testing conditions (STC) temperatures ...
From the Air to the Ground: An Experimental Approach to Assess LiPo Batteries for a Second Life
(2022-05)
Many are the applications that use energy stored in lithium-ion (Li-ion) batteries to power themselves. Without a doubt this type of energy storage device has changed the way of living. However, a major concern regarding ...
Comparison of PV-Battery Architectures for Residential Applications
(2016-04-04)
The paper provides a comparison of four PV-battery architectures with dc and ac backbones, in terms of autarky, energy efficiency, battery size and reduction of annual electricity cost. The comparison is conducted based ...
Decentralised wireless networked model predictive control design for wind turbines
(2020-10-08)
An innovative Decentralised Wireless Networked Model Predictive Control (DWNMPC) is presented to regulate wind turbines speed and compensate the effect of communication constraints such as dropouts. A decentralised control ...
A performance evaluation of several artificial neural networks for mapping speech spectrum parameters
(2020)
In this work, we compare different neural network architectures, for the task of mapping spectral coefficients of noisy speech signals with those corresponding to natural speech. In previous works on the subject, fully-connected ...
Control over networks: A case study of Wastewater Treatment Plants
(2022-12)
A control over the network for an activated sludge wastewater treatment plant (WWTP) is presented. A predictive PID control algorithm is applied to the dissolved oxygen concentration in the aerated tank and to the nitrate ...
Pre-training Long Short-term Memory neural networks for efficient regression in artificial speech postfiltering
(2018)
Several attempts to enhance statistical parametric speech synthesis have contemplated deep-learning-based postfilters, which learn to perform a mapping of the synthetic speech parameters to the natural ones, reducing the ...
An Object Manipulation System Architecture for Humanoid Robots Based on Primate Cognition
(2018)
Currently one of the most important challenges is
to bring robots out of factory floors to work alongside humans.
Because these environments are characterized by a very large
variety of objects, a key factor is to provide ...
Pushing cylinders: Expanding on object-based manipulation
(2020-07)
Competent assistant robots need to understand
their environment to be able to perform skilled manipulation
tasks. One way of achieving it is to have knowledge about the
physical behaviour of objects and how they respond ...
A survey on 3D Perception for robot object manipulation tasks
Estudio biblográfico de percepción 3D para tareas robóticas de manipulación de objetos
(2019)
Un sistema confiable de manipulación de objetos requiere de percepción sofisticada.
Aspectos importantes de este sistema es ser capaz de detectar la forma, tamaño y pose de los objetos a
manipular. Estas capacidades se ...