A5022183159- Image and Video Quality Assessment
- IoT and Edge/Fog Computing
- Software-Defined Networks and 5G
- Chronic Disease Management Strategies
- Telecommunications and Broadcasting Technologies
- Mobile Health and mHealth Applications
- Context-Aware Activity Recognition Systems
- Video Coding and Compression Technologies
- Caching and Content Delivery
- Diabetes Management and Education
- Visual Attention and Saliency Detection
- Smart Grid Energy Management
- Green IT and Sustainability
- Digital Mental Health Interventions
- Scheduling and Optimization Algorithms
- Railway Systems and Energy Efficiency
- Internet Traffic Analysis and Secure E-voting
- Software System Performance and Reliability
- Molecular Communication and Nanonetworks
- Electrical Contact Performance and Analysis
- Advanced Computing and Algorithms
- Impact of Light on Environment and Health
- Cloud Computing and Resource Management
- Advanced Optical Imaging Technologies
- Mobile Ad Hoc Networks
Universidad Politécnica de Madrid
2016-2024
Institut für Rundfunktechnik
2018
Centre National de la Recherche Scientifique
2015
Laboratoire d'Informatique de Grenoble
2015
Université Grenoble Alpes
2015
The focus of research into 5G networks to date has been largely on the required advances in network architectures, technologies, and infrastructures. Less effort put applications services that will make use exploit flexibility built upon concept software-defined networking (SDN) function virtualization (NFV). Media-based are amongst most demanding services, requiring large bandwidths for high audio-visual quality, low-latency interactivity, sufficient infrastructure resources deliver...
The massive growth of live streaming, especially gaming-focused content, has led to an overall increase in global bandwidth consumption. Certain services see their quality diminished at times peak consumption, degrading the content. This trend generates new research related optimizing image according network and service conditions. In this work we present a gaming streaming use case optimization on real multisite 5G environment. paper outlines virtualized workflow provides detailed...
Air pollution and climate change are some of the main problems that humankind is currently facing. The electrification transport sector will help to reduce these problems, but one major barriers for massive adoption electric vehicles their limited range. energy consumption in affected, among other variables, by driving behavior, making range a value must be personalized each driver type vehicle. In this paper we offer way estimate model use vehicle dynamics events detected smartphone...
Recent advances in media capture and processing technologies have enabled new forms of true 3-D content that increase the degree user immersion. The demand for more engaging entertainment means distributors broadcasters need to fine-tune their delivery mechanisms over Internet as well develop models quantifying predicting experience these content. In work described this paper, we undertake one first studies into quality (QoE) real-time streamed virtual reality (VR) headsets purposes, context...
In voice controlled multi-room smart homes ASR and speaker identification systems face distance speech conditions which have a significant impact on performance. Regarding command recognition, this paper presents an approach selects dynamically the best channel adapts models to environmental conditions. The method has been tested data recorded with 11 elderly visually impaired participants in real home. recognition error rate was 3.2% off-line condition of 13.2% online condition. For...
Artificial Intelligence of Things (AIoT) is one the next big concepts to support societal changes and economic growth, being fastest growing ICT segments. A specific challenge leverage existing technology strengths develop solutions that sustain European industry values. The ongoing ΝΕΜΟ ("Next Generation Meta-Operating System") EU-funded project intends establish itself as "game changer" AIoT-Edge-Cloud continuum by introducing an open source, modular cybersecure meta-operating system,...
Nowadays the rationalization of electrical energy consumption is a serious concern worldwide. Energy reduction and efficiency appear to be two paths addressing this target. To achieve goal, many different techniques are promoted, among them, integration (artificial) intelligence in workflow gaining importance. All these approaches have common need: data. Data that should collected provided reliable, accurate, secure, efficient way. For purpose, sensing technologies enable ubiquitous data...
The evolution of telecommunication networks unlocks new possibilities for multimedia services, including enriched and personalized experiences. However, ensuring high Quality Service Experience requires intelligent solutions at the edge. This study investigates real-time detection race bib numbers using YOLOv8, a state-of-the-art object framework, within context 5G/6G edge computing. We train (BDBD SVHN datasets) analyze various YOLOv8 models (nano to extreme) across two diverse racing...
Background: In the last decade, numerous methods have been proposed to define and detect outliers, particularly in complex environments like networks, where anomalies significantly deviate from normal patterns. Although defining a clear standard is challenging, anomaly detection systems become essential for network administrators efficiently identify resolve irregularities. Methods: This study develops evaluates machine learning-based system detection, focusing on point within traffic. It...
The upcoming 5G networks, among other technological advances, bring Network Function Virtualization (NFV) capabilities enabling deployment of application service intelligence on their Next Generation Core (NGC). Application specific logic is packaged into Virtual Functions (VNFs) so that instantiation and can be done at any node the NGC, with management orchestration being maintained by infrastructure. While number instances each VNF placement inside NGC network are managed infrastructure,...
Media applications are amongst the most demanding services. They require high amounts of network capacity as well computational resources for synchronous high-quality audio–visual streaming. Recent technological advances in domain new generation networks, specifically virtualization and Multiaccess Edge Computing (MEC) have unlocked potential media industry. enable services through dynamic efficient resource allocation taking advantage flexibility layered architecture offered by 5G. The...
Media applications are amongst the most demanding services requiring high amounts of network capacity as well extremely low latency for synchronous audio-visual streaming in production quality. Recent technological advances 5G domain hold promise to unlock potential media industry by offering quality through dynamic efficient resource allocation. Actual implementations now required validate whether advanced can be realised benefiting from ultra-low latency, very-high bandwidth and flexible...
Multi-Media applications are amongst the most demanding services, requiring high amounts of network capacity and computational resources for synchronous audio-visual streaming with quality. Gaming is one these media applications. Recent technological advances in 5G domain, precisely Network Function Virtualization (NFV) Multi-access Edge Computing (MEC), unlock industries' potential by offering high-quality services through dynamic efficient resource allocation low latency. This work...
The transition of the networks to support forthcoming beyond 5G (B5G) and 6G services introduces a number important architectural challenges that force an evolution existing operational frameworks. Current have introduced technical paradigms such as network virtualization, programmability slicing, being trend known softwarization. Forthcoming B5G imposing stringent requirements will motivate new radical change, augmenting those with idea smartness, pursuing overall optimization on usage...
The TeNDER project aims to improve the Quality of Life (QoL) chronic patients through an integrated care ecosystem. This study evaluates Health Recommender System (HRS) developed for project, which offers personalized recommendations based on data collected from a set monitoring devices. list notifications covered different areas daily-life such as physical activity, nutrition, and sleep. We conducted this case evaluate effectiveness usability HRS in providing accurate relevant users....
The TeNDER project aims to improve the quality of life (QoL) chronic patients through an integrated care ecosystem. This study evaluates health recommender system (HRS) developed for project, which offers personalized recommendations based on data collected from a set monitoring devices. list notifications covered different areas daily such as physical activity, nutrition, and sleep. We conducted this case evaluate effectiveness usability HRS in providing accurate relevant users. Evaluation...
Background Among chronic diseases, cognitive, neurological, and cardiovascular impairments are becoming increasingly prevalent, generating a shift in health social needs. Technology can create an ecosystem of care integrated with microtools based on biosensors for motion, location, voice, expression detection that help people diseases. A technological system capable identifying symptoms, signs, or behavioral patterns could provide notification the development complications disease. This...
The digital transition that drives the new industrial revolution is largely driven by application of intelligence and data. This boost leads to an increase in energy consumption, much it associated with computing data centers. fact clashes growing need save improve efficiency requires a more optimized use resources. deployment services edge cloud computing, virtualization, software-defined networks better understanding consumption patterns aimed at efficient sustainable models reduction...
This paper presents experimental work for collecting both topological information together with associated performance metrics observed in a realistic lab setup. The network emulates Content Delivery Network (CDN) deployment, manner that the CDN could take informed decisions about from where, out of available Points Presence, deliver content to any subscriber taking into account not only own status (e.g., level consumption computing resources caches) but also underlying connectivity topology...
<sec> <title>BACKGROUND</title> Among chronic diseases, cognitive, neurological, and cardiovascular impairments are becoming increasingly prevalent, generating a shift in health social needs. Technology can create an ecosystem of care integrated with microtools based on biosensors for motion, location, voice, expression detection that help people diseases. A technological system capable identifying symptoms, signs, or behavioral patterns could provide notification the development...