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Telerobotic radiation protection tasks in the Super Proton Synchrotron using mobile robots
(ICINCO International Conference on Informatics in Control, Automation and Robotic, 2022)
In this paper a complete robotic solution is presented, which allows the teleoperation of the radiation survey in the Super Proton Synchrotron (SPS) accelerator at CERN. Firstly, an introduction to radiation protection is ...
Cómo progresar en nuestras actividades docentes según el Marco de Desarrollo Académico Docente (MDAD)
(2023)
La Red Estatal de Docencia Universitaria, REDU, ha
propuesto un marco de desarrollo académico docente
(MDAD) para describir lo que considera una buena
docencia universitaria. El MDAD propone una visión
avanzada de la ...
JENewbie 2023
(2023)
En este artículo se describen los objetivos del taller
JENewbie, se explican brevemente los trabajos presentados y se exponen las principales conclusiones
obtenidas tras la celebración del mismo.
Coordination of subjects using a real practical case to boost learning results
(Universitat Politècnica de València, 2019)
In the European Higher Education Area (EHEA) the coordination of subjects
presents a challenge and a key factor for students’ learning and competence
development. The joint planning of subjects about fundamentals of ...
A Customer Churn Detection Model for the Pay-TV Sector
(Ios Press, 2021)
A platform for the design and execution of clinical data transformation and reasoning workflows
(CAEPIA, 2021-09-22)
Effective sharing and reuse of Electronic Health
Records (EHRs) requires a high level of semantic interoperability.
We have developed a framework to support EHR interoperability
based on workflows whose primary components ...
Science and Technology Teacher Training Project Based on Social Inclusion
(Hands-on Science Network (HSCI), 2023)
This paper reports an experience
carried out in the Master Degree in Compulsory
Secondary Teachers, Upper Secondary
Education, Professional Training and Language
Teaching, specialization in Technology, of two
Spanish ...
Convolution Operators for Deep Learning Inference on the Fujitsu A64FX Processor
(IEEE, 2022)
The convolution operator is a crucial kernel for
many computer vision and signal processing applications that
rely on deep learning (DL) technologies. As such, the efficient implementation of this operator has received ...
From Biodata to Somadata
(Association for Computing Machinery (ACM), 2020)
Biosensing technologies are increasingly available as off-the-shelf products, yet for many designers, artists and non-engineers, these technologies remain difficult to design with. Through a soma design stance, we devised ...
Increasing the Performance of Data Centers by Combining Remote GPU Virtualization with Slurm
(IEEE, 2016)
The use of Graphics Processing Units (GPUs)
presents several side effects, such as increased acquisition
costs as well as larger space requirements. Furthermore,
GPUs require a non-negligible amount of energy even ...