Buscar
Mostrando ítems 21-30 de 54
Modeling thermometry image perturbations during photoacoustic imaging-guided photothermal therapy
(2021)
During hyperthermia treatments, temperature monitoring is needed to prevent overheating, which could cause evaporation and carbonization of tissue, and to focus, as much as possible, the thermal damage on the targeted ...
Mujer en la Ingeniería: iniciativas y experiencias para disminuir la brecha de género en ingeniería
(2022-06)
La brecha de género en las carreras de la Facultad de Ingeniería (FI) de la Universidad de Costa Rica (UCR), así como situaciones académicas y profesionales de desigualdad para las mujeres motivan el trabajo del proyecto ...
Assessing the robustness of recurrent neural networks to enhance the spectrum of reverberated speech
(2020)
Implementing voice recognition systems and voice analysis in real-life contexts present important challenges, especially when signal recording/registering conditions are adverse. One of the conditions that produce signal ...
A risk-based methodology for defining the time of intentional controlled islanding
(2015-10-05)
Power systems are operated close to their stability limits and this increases the probability of cascading outages
leading to large-area blackouts. To mitigate these phenomena, intentional controlled islanding (ICI) has ...
Robotic architecture to map an action language to a low level motion commands for skillful manipulation
(2020)
This paper gives an overview of a robotic
architecture meant for skillful manipulation. This design is
meant to close the gap between the high-level layer (reasoning
and planing layer) and the object model system (physical ...
Learning the prediction error for improving an analytical-based prediction (object-model) system for manipulation tasks
(2018)
One of the main tasks in robotics today, is to
bring robots closer to humans in everyday situations. This
requires the robot to understand how its environment (objects,
people, conditions) behaves. One method that tries ...
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 ...
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 ...
Torso, mobile platform and head integration for a humanoid robot
Integración de un torso, base móvil y una cabeza, para un robot humanoide
(2019)
En el ARCOS-Lab, se tiene como proyecto principal, la construcción de un robot
humanoide de cuerpo completo, capaz de realizar tareas de manipulación de objetos a un nivel
elevado de precisión y complejidad. Para ello, ...
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 ...