Programa de Doctorat en Tecnologies de la Informació i les Comunicacions: Recent submissions
Now showing items 101-120 of 394
Emancipation of the bitcoin outcasts: addressing overlooked elements of the bitcoin network for improving security and efficiency
During the last decade, cryptocurrencies have revolutionized the financial industry. In these systems, participants communicate by means of a peer-to-peer protocol. Today, many of such protocols take Bitcoin as a reference ...
Computational modeling of user activity in full-body interaction environments for ASC children: multimodal analysis of social interaction behaviors through psychophysiology, system activity, video coding, questionnaires, and body cues
Full-body Interaction experiences based on Mixed Reality (MR) systems are already playing an important role in encouraging socialization behaviors in children with Autism Spectrum Condition (ASC), as seen in the state of ...
Semantically-oriented text planning for automatic summarization
Text summarization deals with the automatic creation of summaries from one or more documents, either by extracting fragments from the input text or by generating an abstract de novo. Research in recent years has become ...
Applicability of wireless injectable microstimulators based on volume conduction for high density neuromuscular stimulation
This thesis was conducted within the framework of the eAXON project that is aimed at developing injectable wireless sub-millimetric single-channel addressable microstimulators based on volume conduction called eAXONs ...
Relative music loudness estimation in TV broadcast audio using deep learning: an industrial perspective
Under the current copyright management business model, broadcasters are taxed by the corresponding copyright management organization according to the percentage of music they broadcast, and the collected money is then ...
Techniques to accelerate the transition to a new generation of terrestrial digital TV
This thesis explores the problem of compatibility between generations in the field of Digital Television, and proposes solutions to this problem. Since its inception, the DTV has been under development without taking ...
Behavioral and neural correlates of logical inferences
The aim of the dissertation is to explore behavioral and neuropsychological correlates of elementary deductive processes in infants and adults. To this purpose, we introduce a novel non-verbal task presenting scenes ...
Extracting informative spatio-temporal features from fMRI dynamics : a model-based characterization of timescales
In neuropsychiatry, the development of brain imaging and dedicated data analysis for personalized medicine promises to predict both the evolution of diseases and responses of treatments. The ability to estimate the time ...
Data-driven methods to characterize heterogeneity in Alzheimer’s disease using cross-sectional and longitudinal data
Alzheimer's disease (AD), the most common form of dementia, is an incurable neurodegenerative disease that affects millions of elderly people worldwide. Detecting the disease in its early stages is the key for a more ...
Pairing-based non-interactive zero-knowledge arguments and applications
Elliptic curves with a bilinear map, or pairing, have a rich algebraic structure that has been fundamental to develop practical Non-Interactive Zero-Knowledge (NIZK) proofs. On the theoretical side, we explore how efficient ...
Unsupervised learning for parametric optimization in wireless networks
This thesis studies parametric optimization in cellular and cell-free networks, exploring data-based and expert-based paradigms. Power allocation and power control, which adjust the transmit power to meet different fairness ...
Zero-knowledge proofs and isogeny-based cryptosystems
In this thesis, we present some public-key cryptographic schemes. This work is divided in two halves. The rst half deals with zero-knowledge proofs in the classical setting and under falsi able assumptions. In particular, ...
Deep spatio-temporal neural network for facial analysis
Automatic Facial Analysis is one of the most important field of computer vision due to its significant impacts to the world we currently live in. Among many applications of Automatic Facial Analysis, Facial Alignment and ...
Improving sound retrieval in large collaborative collections
Capturing sounds on a recording medium to enable their preservation and reproduction started to be possible during the industrial revolution of the 19th century, originally achieved through mechanic and acoustic devices, ...
Learning of meaningful visual representations for continuous lip-reading
In the last decades, there has been an increased interest in decoding speech exclusively using visual cues, i.e. mimicking the human capability to perform lip-reading, leading to Automatic Lip-Reading (ALR) systems. ...
Bridging the science of learning and technology enhanced learning: transformative opportunities and ethical challenges
Reports from the OECD and the World Economic Forum highlight that rapid technological and social change are demanding much more of students. Yet, research indicates that many students are not developing into effective ...
Responsive spectrum management for wireless local area networks: from heuristic-based policies to model-free reinforcement learning
In this thesis, we focus on the so-called spectrum management's joint problem: efficient allocation of primary and secondary channels in channel bonding wireless local area networks (WLANs). From IEEE 802.11n to more ...
Giving centre stage to top-down inhibitory mechanisms for selective attention
Selective attention determines the sensory signals that are processed at higher levels at the expense of others and is biased by higher-order brain regions which anticipate task-relevant stimuli and increase neural sensitivity ...
Knowing what you know: a pedagogical model based on learners’ metacognitive abilities
Students’ metacognition, that is, the ability to accurately assess one’s skill level and to update one’s internal model of those skills, is a crucial educational factor, as it can help students selfregulate their learning. ...
The Orchestration of computer-supported collaboration scripts with learning analytics
Computer-supported collaborative learning (CSCL) creates avenues for productive collaboration between students. In CSCL, collaborative learning flow patterns (CLFPs) provide pedagogical rationale and constraints for ...
