Listar por autor "Munilla-Fajardo, Jorge"
Mostrando ítems 1-16 de 16
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5G Numerologies Assessment for URLLC in Industrial Communications
Segura, David; Jatib Khatib, Emil; Munilla-Fajardo, Jorge
; Barco, Raquel (MDPI, 2021-04)
The fifth-generation (5G) network is presented as one of the main options for Industry 4.0 connectivity. Ultra-Reliable and Low Latency Communications (URLLC) is the 5G service category used by critical mechanisms, with a ... -
An enhanced symmetric-key based 5G-AKA protocol
Munilla-Fajardo, Jorge; Burmester, Mike; Barco-Moreno, Raquel (Elsevier, 2021)
5G technology is called to support the next generation of wireless communications and realize the “Internet of Everything” through its mMTC (massive Machine-Type-Communications) service. The recently standardized 5G-AKA ... -
Configuración Software de la directividad de arrays lineales
A line array can be defined as a column of loudspeakers that is designed so that these work together to achieve a higher directivity. This paper presents an application that enables a user to rotate the wavefront of uniform ... -
Desafío tecnológico: herramienta para trabajar y evaluar las competencias básicas y generales en los estudios de grado de la E.T.S.I. de Telecomunicación
Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel; Tardón-García, Lorenzo José; Peinado-Domínguez, Alberto; Munilla-Fajardo, Jorge; Ortiz-García, Andrés; Mata-Contreras, Francisco Javier[et al.] (2018-09-20)
This work presents the evolution of the five editions of the educational activity named “Technological Challenge” specially focused on the students at “Escuela Técnica Superior de Ingeniería de Telecomunicación” (ETSIT), ... -
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.
Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Martínez-Murcia, Francisco Jesús; Górriz-Sáez, Juan Manuel; Ramírez-Aguilar, Francisco Javier (World Scientific, 2018-10-16)
Medical image classification is currently a challenging task that can be used to aid the diagnosis of different brain diseases. Thus, exploratory and discriminative analysis techniques aiming to obtain representative ... -
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease.
Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2016-08-01)
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer’s Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. ... -
Evaluación de la latencia de NB-IoT con medidas reales
In the 3GPP LTE Release 13, NB-IoT was standardized to provide wide-area connectivity for IoT. To optimize network signaling and power consumption, control plane (CP) optimization was introduced. In Release 15, to support ... -
Evaluación de los modos de conexión para NB-IoT
In the 3GPP LTE Release 13, NB-IoT was standardized to provide wide-area connectivity for IoT. To optimize network signalling and power consumption, control plane (CP) and user plane (UP) optimizations were introduced. ... -
Group-scanning for supply chain management
Burmester, Mike; Munilla-Fajardo, Jorge (2014-09-16)
The integrity of shipments in the supply chain may have to be tracked remotely by carriers that are not necessarily trusted. We present an RFID framework architecture for applications when multiple scanned tags generate ... -
Hybrid genetic algorithm for clustering IC topographies of EEGs
Munilla-Fajardo, Jorge; Al-Safi, Haedar E. S.; Ortiz-García, Andrés; Luque-Vilaseca, Juan Luis (Springer, 2023)
Clustering of independent component (IC) topographies of Electroencephalograms (EEG) is an effective way to find brain-generated IC processes associated with a population of interest, particularly for those cases where ... -
Keynote talk: some unresolved concerns & future directions for resilient RFID smart structures in the supply chain
Munilla-Fajardo, Jorge; Burmester, Mike (2016-12-12)
Smart structures are highly interconnected adaptive systems that are coordinated by cyber systems to optimize specific system objectives. To capture realistic IoT scenarios we must employ threat models that allow untrusted ... -
Label Aided Deep Ranking for the Automatic Diagnosis of Parkinsonian Syndromes.
Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (Elsevier, 2018-10-16)
Parkinsonism is the second most common neurodegenerative disease in the world. Its diagnosis usually relies on visual analysis of Emission Computed Tomography (SPECT) images acquired using 123I − io f lupane radiotracer. ... -
A multiple risk factor perspective and prediction of literacy acquisition and learning difficulties of Spanish children ages 3 -6
López-Pérez, Pedro J.; López-Zamora, Miguel; Sánchez, Auxiliadora; Milani, Giada; Luque-Vilaseca, Juan Luis; Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Giménez-de-la-Peña, Almudena[et al.] (2018-10-10)
Purpose: Investigating the predictive power of early linguistic and cognitive skills, and genetic risk on Spanish literacy acquisition and learning difficulties within a prevention-oriented RTI model. Method: Participants ... -
NB-IoT latency evaluation with real measurements
In the 3GPP LTE Release 13, NB-IoT was standardized to provide wide-area connectivity for IoT. To optimize network signaling and power consumption, control plane (CP) optimization was introduced. In Release 15, to support ... -
Resilient RFID Grouping Proofs with Missing Tag Identification
Burmester, Mike; Munilla-Fajardo, Jorge (Springer, 2016)
The adoption of RFID (Radio Frequency Identification) technology has greatly improved the efficiency of inventory control, supply-chain management and logistics. With RFID group scanning, an RFID reader scans a group of ... -
Secure Distributed System inspired by Ant Colonies for Road Traffic Management in Emergency Situations
Peinado-Domínguez, Alberto; Ortiz-García, Andrés; Munilla-Fajardo, Jorge (2013-09-04)
In this work, we present a distributed system designed for road traffic management. The system is inspired by the behavior of the ant colonies. The distributed design responds to the particular limitations of an emergency ...