https://hdl.handle.net/11000/417 2026-04-04T17:49:55Z 2026-04-04T17:49:55Z Valiente, David Rodríguez Mas, Fernando Alegre Requena, Juan V. Dalmau, David Flores, María Ferrer, Juan C. https://hdl.handle.net/11000/39252 2026-02-13T02:09:59Z 2026-02-12T17:50:09Z

Título : General machine learning models for interpreting and predicting efficiency degradation in organic solar cells Autor : Valiente, David; Rodríguez Mas, Fernando; Alegre Requena, Juan V.; Dalmau, David; Flores, María; Ferrer, Juan C. Resumen : Photovoltaic (PV) energy plays a key role in addressing the growing global energy demand. Organic solar cells (OSCs) represent a promising alternative to silicon-based PVs due to their low cost, lightweight, and sustainable production. Despite achieving power conversion efficiencies (PCEs) over 20 %, OSCs still face challenges in stability and efficiency. Recent advances in manufacturing, artificial intelligence and machine learning (ML) achieve optimized and screened OSCs for greater sustainability and commercial viability, thus potentially reducing costs while ensuring stable and long term performance. This work presents optimal ML models to represent the temporal degradation on the PCE of polymeric OSCs with structure ITO/PEDOT:PSS/P3HT:PCBM/Al. First, we generated a database with 166 entries with measurements of 5 OSCs, and up to 7 variables regarding the manufacturing and environmental conditions for more than 180 days. Then, we relied on a software framework that provides a conglomeration of automated ML protocols that execute sequentially against our database by simply command-line interface. This easily permits hyper-optimizing the ML models through exhaustive benchmarking so that optimal models are obtained. The accuracy for predicting PCE over time reaches values of the coefficient determination widely exceeding 0.90, whereas the root mean squared error, sum of squared error, and mean absolute error are significantly low. Additionally, we assessed the predictive ability of the models using an unseen OSC as an external set. For comparative purposes, classical Bayesian regression fitting are also presented, which only perform sufficiently for univariate cases of single OSCs.

2026-02-12T17:50:09Z Flores, María Valiente, David Gil, Arturo Reinoso, Oscar Payá, Luis https://hdl.handle.net/11000/39251 2026-02-13T02:09:58Z 2026-02-12T17:47:54Z

Título : Efficient probability-oriented feature matching using wide field-of-view imaging Autor : Flores, María; Valiente, David; Gil, Arturo; Reinoso, Oscar; Payá, Luis Resumen : Feature matching is a key technique for a wide variety of computer vision and image processing applications such as visual localization. It permits finding correspondences of significant points within the environment that eventually determine the localization of a mobile agent. In this context, this work evaluates an Adaptive Probability-Oriented Feature Matching (APOFM) method that dynamically models the visual knowledge of the environment in terms of the probability of existence of features. Several improvements are proposed to achieve a more robust matching in a visual odometry framework: a study on the classification of the matching candidates, enhanced by a nearest neighbour search policy; a dynamic weighted matching that exploits the probability of feature existence in order to tune the matching thresholds; and an automatic false positive detector. Additionally, a comparison of performance is carried out, considering a publicly available dataset composed of two kinds of wide field-of-view images: catadioptric and fisheye. Overall, the results validate the appropriateness of these contributions, which outperform other well-recognized implementations within this framework, such as the standard visual odometry, a visual odometry method based on RANSAC, as well as the basic APOFM. The analysis shows that fisheye images provide more visual information of the scene, with more feature candidates. Contrarily, omnidirectional images produce fewer feature candidates, but with higher ratios of feature acceptance. Finally, it is concluded that improved precision is obtained when the location problem is solved by this method.

2026-02-12T17:47:54Z Flores, María Payá, Luis Valiente, David Gallego, Julio Reinoso, Oscar https://hdl.handle.net/11000/39250 2026-02-13T02:09:57Z 2026-02-12T17:46:00Z

Título : Deployment of a Software to Simulate Control Systems in the State-Space Autor : Flores, María; Payá, Luis; Valiente, David; Gallego, Julio; Reinoso, Oscar Resumen : In this work, we present a simulation software that permits designing and testing several types of controllers based on both classical and modern control theory. It has been created using Easy JavaScript Simulations, since this software permits implementing interactive simulations of physical systems in a quick and intuitive way. This laboratory contains a SISO (Single-Input and Single-Output) and a MIMO (Multiple-Input and Multiple-Output) plant, which are hydraulic and nonlinear, thus the linear model (linearized equations) and the original model (nonlinerized equations) have been implemented. The user can choose any of these physical systems and they have the options to control them using either continuous-time or discrete-time controllers. All parameters of the plant are fully configurable by the user. After that, the controller can be designed and tested. This simulation software offers several configurations: (a) PID (Proportional, Integral and Derivative controller); (b) state feedback; (c) observer and state feedback; and (d) integral controller, observer and state feedback control. The evolution of the controlled system is visualized using an animation of the virtual plant and a graphical representation of the evolution of the most important variables. In this paper, the steps for the implementation of this simulation software are detailed.

2026-02-12T17:46:00Z Cebollada, Sergio Payá, Luis Flores, María Peidró, Adrián Reinoso, Oscar https://hdl.handle.net/11000/39249 2026-02-13T12:51:32Z 2026-02-12T17:37:34Z

Título : A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data Autor : Cebollada, Sergio; Payá, Luis; Flores, María; Peidró, Adrián; Reinoso, Oscar Resumen : Nowadays, the field of mobile robotics has experienced an important evolution and these robots are more commonly proposed to solve different tasks autonomously. The use of visual sensors has played an important role in mobile robotics tasks during the past few years due to the advances in computer vision hardware and algorithms. It is worth remarking the use of AI tools to solve a variety of problems in mobile robotics based on the use of images either as the only source of information or combining them with other sensors such as laser or GPS. The improvement of the autonomy of mobile robots has attracted the attention of the scientific community. A considerable amount of works have been proposed over the past few years, leading to an extensive variety of approaches. Building a robust model of the environment (mapping), estimating the position within the model (localization) and controlling the movement of the robot from one place to another (navigation) are important abilities that any mobile robot must have. Considering this, this review focuses on analyzing these problems; how researchers have addressed them by means of AI tools and visual information; and how these approaches have evolved in recent years. This topic is currently open and a large number of works can be found in the related literature. Therefore, it can be of interest making an analysis of the current state of the topic. From this review, we can conclude that AI has provided robust solutions to some specific tasks in mobile robotics, such as information retrieval from scenes, mapping, localization and exploration. However, it is worth continuing to develop this line of research to find more integral solutions to the navigation problem so that mobile robots can increase their autonomy in large, complex and heterogeneous environments.

2026-02-12T17:37:34Z Riaz, Syed Morsleen Lucas-Estañ, M. Carmen Coll-Perales, Baldomero Gozalvez, Javier https://hdl.handle.net/11000/38232 2025-11-18T02:06:45Z 2025-11-17T11:46:48Z

Título : Predictive Configured Grant Scheduling for Deterministic Wireless Communications Autor : Riaz, Syed Morsleen; Lucas-Estañ, M. Carmen; Coll-Perales, Baldomero; Gozalvez, Javier Resumen : Future wireless networks must enhance their capacity to sustain deterministic service levels and support emerging time-sensitive services in key verticals. The ability to guarantee bounded latencies heavily depends on efficient radio resource management. Configured Grant (CG) scheduling can reduce latency by pre-allocating resources, but its effectiveness and efficiency decrease under variable traffic patterns. This study presents a novel predictive CG scheduling scheme that pre-allocates resources based on traffic predictions while accounting for prediction inaccuracies. By considering these inaccuracies, the scheme significantly improves the ability to meet bounded latency requirements, which are essential for supporting deterministic service levels. Our evaluations show that the proposed scheme significantly enhances the capacity to support deterministic service levels while improving resource utilization, even in scenarios with variable and mixed traffic flows with diverse requirements.

2025-11-17T11:46:48Z Lucas-Estañ, M. Carmen Coll-Perales, Baldomero Khan, Mohammad Irfan Gozalvez, Javier Altintas, Onur https://hdl.handle.net/11000/38231 2025-11-18T02:06:51Z 2025-11-17T11:45:43Z

Título : Impact of ADAS and V2X Penetration Rates on Cooperative Active Safety Autor : Lucas-Estañ, M. Carmen; Coll-Perales, Baldomero; Khan, Mohammad Irfan; Gozalvez, Javier; Altintas, Onur Resumen : A major driver of connected and automated driving is cooperative active safety. The effectiveness of cooperative safety applications depends on the ability of vehicles to detect traffic safety risks in advance. Such risks can be identified either through ADAS (Advanced Driving Assistance Systems) or via V2X (Vehicle to Everything) communications. More vehicles are gradually being deployed with ADAS, but ADAS sensors can be limited by their sensing range and field of view. On the other hand, V2X can experience communication ranges beyond the ADAS sensing range, but its impact is highly dependent on the V2X penetration rate. This paper analyzes the impact of ADAS and V2X penetration rates on the effectiveness of cooperative active safety applications considering an emergency braking maneuver use case in a highway scenario. Results show that while ADAS and V2X each enhance traffic safety, their combined deployment further amplifies these gains, with the effect becoming more pronounced as V2X is deployed more rapidly.

2025-11-17T11:45:43Z Riaz, Syed Morsleen Lucas-Estañ, M. Carmen Coll-Perales, Baldomero Gozalvez, Javier https://hdl.handle.net/11000/38230 2025-11-18T02:06:44Z 2025-11-17T11:43:37Z

Título : Predictive Dynamic Scheduling for Deterministic Communications in Beyond 5G Autor : Riaz, Syed Morsleen; Lucas-Estañ, M. Carmen; Coll-Perales, Baldomero; Gozalvez, Javier Resumen : Next generation wireless networks must sustain deterministic service levels to support emerging time-sensitive applications. The ability to guarantee bounded latencies depends on the efficient management of radio resources. Several studies propose leveraging the native intelligence of future networks to develop predictive schedulers capable of efficiently managing resources. However, existing proposals focus on semi-static scheduling, where resources are reserved based on traffic predictions, and these reservations are susceptible to inefficiencies due to prediction inaccuracies. This study advances the state of the art with a novel predictive dynamic scheduling scheme that avoids such inefficiencies, and leverages traffic predictions to allocate resources to incoming requests that meet their latency requirements while avoiding resources likely to be needed by future predicted packets. Our results demonstrate that the proposed predictive dynamic scheduling effectively supports deterministic communications in scenarios with mixed traffic flows and varying QoS requirements.

2025-11-17T11:43:37Z Sepulcre Ribes, Miguel Gozálvez Sempere, Javier Thandavarayan, Gokulnath Coll Perales, Baldomero Schindler, Julian Rondinone, Michele https://hdl.handle.net/11000/38107 2025-11-12T02:06:32Z 2025-11-11T10:32:12Z

Título : On the Potential of V2X Message Compression for Vehicular Networks Autor : Sepulcre Ribes, Miguel; Gozálvez Sempere, Javier; Thandavarayan, Gokulnath; Coll Perales, Baldomero; Schindler, Julian; Rondinone, Michele Resumen : The emergence of connected automated vehicles and advanced V2X applications and services can challenge the scalability of vehicular networks in the future. This challenge requires solutions to reduce and control the communication channel load beyond the traditional congestion control protocols proposed to date. In this paper, we propose and evaluate the use of V2X message compression to reduce the channel load and improve the scalability and reliability of future vehicular networks. Data compression has the potential to reduce the channel load consumed by each vehicle without reducing the amount of information transmitted. To analyze its potential, this paper evaluates the compression gain of three compression algorithms using standardized V2X messages for basic awareness (CAMs), cooperative perception (CPMs) and maneuver coordination (MCMs) extracted from standard-compliant prototypes. We demonstrate through network simulations that V2X message compression can reduce the channel load. In particular, the tested compression algorithms can reduce the channel load by up to 27% without reducing the amount of information transmitted. Reducing the channel load and the consequent interferences significantly improves the reliability of V2X communications. However, this study also emphasizes the need for high-speed compression and decompression modules capable to compress and decompress V2X messages in real time, especially under highly loaded scenarios.

2025-11-11T10:32:12Z González Delicado, Juan Jesús Gozálvez Sempere, Javier Mena Oreja, Jesús Sepulcre Ribes, Miguel Coll Perales, Baldomero https://hdl.handle.net/11000/38106 2025-11-12T02:06:30Z 2025-11-11T10:30:59Z

Título : Alicante-Murcia Freeway Scenario: A High-Accuracy and Large-Scale Traffic Simulation Scenario Generated Using a Novel Traffic Demand Calibration Method in SUMO Autor : González Delicado, Juan Jesús; Gozálvez Sempere, Javier; Mena Oreja, Jesús; Sepulcre Ribes, Miguel; Coll Perales, Baldomero Resumen : The design, testing and optimization of Vehicle to Everything (V2X), connected and automated driving and Intelligent Transportation Systems (ITS) and technologies requires mobility traces and traffic simulation scenarios that can faithfully characterize the vehicular mobility at the macroscopic and microscopic levels under large-scale and complex scenarios. The generation of accurate scenarios and synthetic traces requires a precise modelling approach, and the possibility to validate them against real-world measurements that are generally not available for large-scale scenarios. This limits the open availability of realistic and large-scale traffic simulation scenarios. The purpose of this paper is to present a large-scale and high-accuracy traffic simulation scenario. The scenario has been implemented over the open-source SUMO traffic simulator and is openly released to the community. The scenario accurately models the traffic flow, the traffic speed and the road’s occupancy for 9 full days of traffic over a 97 km freeway section. The scenario models mixed traffic with light and heavy vehicles. The simulation scenario has been calibrated using a unique dataset provided by the Spanish road authority and a novel learning-based and iterative traffic demand calibration technique for SUMO. This technique, referred to as Clone Feedback, is proposed for the first time in this paper and does not require a pre-calibration to generate realistic traffic demand. Clone Feedback can generate calibrated mixed traffic (light and heavy vehicles) using as input only traffic flow measurements. The results obtained show that Clone Feedback outperforms two reference techniques for calibrating the traffic demand in SUMO.

2025-11-11T10:30:59Z Bonte, S.M. García, R. Coves, Angela García Barceló, J.M. San Blas, A.A. Sancho, M. Sánchez Soriano, M.A. Boria, V.E. https://hdl.handle.net/11000/37446 2025-09-23T01:04:55Z 2025-09-22T10:30:04Z

Título : Study of the insertion of corrugations in microwave filters for mitigation of the multipactor effect Autor : Bonte, S.M.; García, R.; Coves, Angela; García Barceló, J.M.; San Blas, A.A.; Sancho, M.; Sánchez Soriano, M.A.; Boria, V.E. Resumen : The multipactor effect is an electron avalanche type discharge, that poses a significant challenge in radiofrequency and microwave high-power devices operating under high-vacuum conditions, affecting their signal integrity and device performance. In this paper, we propose to apply a corrugated surface profile over the inner metallic walls in several microwave components, especially filters, to mitigate this undesired effect. Through numerical simulations, we demonstrate that the introduction of a corrugated surface over critical areas of the component significantly increases the multipactor power threshold. The corrugated profile effectively disrupts the conditions leading to the electron avalanche formation, thereby increasing the breakdown threshold level. We explore the influence of both the geometric parameters of the corrugated profile, and the critical region where it should be placed in the microwave component, providing insights into the optimal design considerations to alleviate this phenomenon. Our findings not only contribute to a broader understanding of the multipactor mitigation techniques in radiofrequency and microwave high-power components, but also offer valuable guidance for their application with a band-pass filter example, resulting in a substantial improvement of its multipactor power threshold after introducing the corrugated surface profile, while maintaining the electric performance of the originally designed component. Moreover, the proposed solution outstands other state-of-the-art multipactor reduction techniques, by avoiding the use of material coatings, micro-porous surfaces as well as non-standard waveguides, thus confirming very good prospects for its use with filtering components in high power demanding applications, such as satellite communication systems.

2025-09-22T10:30:04Z