A5043468332- Historical Studies in Latin America
- Spectroscopy and Chemometric Analyses
- Satellite Communication Systems
- Age of Information Optimization
- Vehicular Ad Hoc Networks (VANETs)
- Advanced Chemical Sensor Technologies
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Historical Art and Architecture Studies
- Flow Measurement and Analysis
- Water Quality Monitoring Technologies
- History and Politics in Latin America
- Context-Aware Activity Recognition Systems
- Fluid Dynamics and Mixing
- Advanced Malware Detection Techniques
- Historical Studies on Spain
- Political Dynamics in Latin America
- Latin American history and culture
- Software System Performance and Reliability
- Advanced MIMO Systems Optimization
- Information and Cyber Security
- Microfluidic and Capillary Electrophoresis Applications
- Space Satellite Systems and Control
- Medieval and Early Modern Iberia
- Mexican Socioeconomic and Environmental Dynamics
i2CAT
2019-2024
Universitat Politècnica de Catalunya
2022
Universitat de València
2019-2022
Universidad Nacional Autónoma de México
2021
University of Nottingham
2016-2020
The increasing availability of data, due to the adoption low-cost industrial internet things technologies, coupled with processing power from cloud computing, is fuelling increase use data-driven models in manufacturing. Utilising case studies food and drink industry waste management industry, considerations challenges faced when developing for manufacturing systems are explored. Ensuring a high-quality set model development data that accurately represents system key successful model....
Food and drink is the largest manufacturing sector worldwide has significant environmental impact in terms of resource use, emissions, waste. However, food manufacturers are restricted addressing these issues due to tight profit margins they operate within. The advances two industrial digital technologies, sensors machine learning, present with affordable methods collect analyse data enable enhanced, evidence-based decision making. These technologies will reduce their by making processes...
Abstract The main goal of the H2020-CARAMEL project is to address cybersecurity gaps introduced by new technological domains adopted modern vehicles applying, among others, advanced Artificial Intelligence and Machine Learning techniques. As a result, CARAMEL enhances protection against threats related automated driving, smart charging Electric Vehicles, communication or between roadside infrastructure. This work focuses on latter presents architecture aiming at assessing integrity...
Effectively cleaning equipment is essential for the safe production of food but requires a significant amount time and resources such as water, energy, chemicals. To optimize equipment, there need innovative technologies to monitor removal fouling from surfaces. In this work, optical ultrasonic sensors are used materials with different physicochemical properties benchtop rig. Tailored signal image processing procedures developed process, neural network regression model predict remaining on...
Circular economy (CE) thinking has emerged as a route to sustainable manufacture, with related cradle-to-cradle implications requiring implementation from the design stage. The challenge lies in moving manufacturing environments away traditional linear paradigm, where materials, energy and water have often been designed move out of system into receivership waste management bodies after use. Recent applications industrial digital technologies (IDTs: for example internet things, data-driven...
Beer fermentation is typically monitored by periodic sampling and off-line analysis. In-line sensors would remove the need for time-consuming manual operation provide real-time evaluation of fermenting media. This work uses a low-cost ultrasonic sensor combined with machine learning to predict alcohol concentration during beer fermentation. The highest accuracy model (R2 = 0.952, mean absolute error (MAE) 0.265, squared (MSE) 0.136) used transmission-based sensing technique along measured...
One of the applications where fifth generation (5G) networks are expected to have a greatest impact is vehicular-to-everything (V2X) communications. The exchange data among different vehicles on network will make roads safer environment. However, massive usage V2X communications leads an increase traffic and resources consumption. Moreover, mobility associated may drain available in particular cells, compromising required quality service (QoS) connected users. To avoid these situations,...
Despite its variable degree of application, intrusive instrumentation is the most accurate way to obtain local information in a two-phase flow system, especially interfacial velocity and area parameters. In this way, multi-needle probes, based on conductivity or optical principles, have been extensively used past few decades by many researchers investigations. Moreover, signal processing methods time-averaged parameters type sensor thoroughly discussed validated experiments.
Distributed Space Systems (DSS) are becoming increasingly popular in the space industry as they integrate advancements 6G and Non-Terrestrial Networks concepts to offer innovative efficient solutions for satellite communication data transmission. In those DSS where be-tween heterogeneous satellites is required, achieving autonomous cooperation while minimizing energy consumption crucial (especially sparse constellations with nano-satellites). This work proposes an scalable solution based on...
For several years, Security Operation Centers (SOCs) have relied on tools such as Information and Event Management (SIEM) Intrusion Detection Systems (IDS) for reactive threat detection risk management. However, these are becoming inadequate in detecting the current landscape, which is continuously increasing terms of volume variety, targeting most vulnerable component kill-chain, human actor. This manuscript presents a novel data-driven approach that models user entity behaviour early...
Beer fermentation is typically monitored by periodic sampling and off-line analysis. In-line sensors would remove the need for time-consuming manual operation provide real-time evaluation of fermenting media. This work uses a low-cost ultrasonic sensor combined with machine learning to predict alcohol concentration during beer fermentation. The highest accuracy model (R2=0.952, MAE=0.265, MSE=0.136) used transmission-based sensing technique along measured temperature. However, second most...
Distributed Space Systems (DSS) are gaining prominence in the space industry due to their ability increase mission performance by allowing cooperation and resource sharing between multiple satellites. In DSS where communication heterogeneous satellites is necessary, achieving autonomous while minimizing energy consumption a critical requirement, particularly sparse constellations with nano-satellites. order minimize functioning time consumed Inter-Satellite Links established for...
Distributed space systems are increasingly valued in the industry, as they enhance mission performance through collaborative efforts and resource sharing among multiple heterogeneous satellites. Additionally, enabling autonomous real-time satellite-to-satellite communications Inter-Satellite Links (ISLs) can further increase overall by allowing cooperation without relying on ground links extensive coordination diverse stakeholders. Given constrained resources available onboard satellites, a...
The advances in Internet of Things (IoT), sensors, communications, artificial intelligence, and augmented reality technologies make it possible to conceive smart spaces able monitor the environment, generate enhanced context information (for example, accurate positioning, situational awareness), take logical decisions, adapt environment's characteristics user needs intelligently. These developments fit under Ambient Intelligence idea, which strives close gap between virtual real worlds. This...
Vehicular communications are called upon to become one of the services that will benefit most from 5G networks. The low latency and unprecedented high data rates is expected deliver a key enabler for new vehicular services. A booster this happen network slicing, which enables tailor radio resources satisfy different demand. However, frequent traffic jams in urban scenarios can lead overloading, compromising required Quality Service by running out available resources. In paper, we firstly...
Fifth Generation (5G) networks will support countless new applications and business models. One of the 5G paradigms is network slicing, which enables integration multiple logical each one tailored to requirements different services that can be provided by both operators vertical industries. where expected have a greatest impact vehicular-to-everything (V2X) communications, their stringent latency now met. However, mobility associated vehicles lead cell overload compromising required quality...