Listar Instituto de Tecnología e Ingeniería del Software de la Universidad de Málaga - (ITIS) por título
Mostrando ítems 60-79 de 111
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Key-Value vs Graph-based data lakes for realizing Digital Twin systems
Pérez Porras, Daniel; Muñoz Ariza, Paula; Vallecillo-Moreno, Antonio Jesús
; Troya-Castilla, Javier (2022-07-05)
Digital twins constitute virtual representations of physically existing systems, synchronized at a specified frequency and fidelity. One way to connect physical and digital twins is through data lakes, which are efficient ... -
Light commodity devices for building vehicular ad hoc networks: An experimental study.
Toutouh-el-Alamin, Jamal; Alba-Torres, Enrique (Elsevier, 2015-10-13)
Vehicular communication networks represent both an opportunity and a challenge for providing smart mobility services by using a hybrid solution that relies on cellular connectivity and short range communications. The ... -
Location-aware scalable service composition.
Pozas García, Nicolás; Durán-Muñoz, Francisco Javier; Moreno Berrocal, Katia; Pimentel-Sánchez, Ernesto (Wiley, 2023)
The problem of service composition is the process of assigning resources to services from a pool of available ones in the shortest possible time so that the overall quality of service is maximized. This article provides ... -
Managing Reputation in Collaborative Social Computing Applications
Moreno, Nathalie; Perez-Vereda, Alejandro; Vallecillo-Moreno, Antonio Jesús (AITO, 2022-06)
Reputation is a fundamental concept for making decisions about service providers. However, managing reputation in peer-to-peer distributed applications is not easy due to the lack of a central server that can compute this ... -
Model Transformation Testing and Debugging: A Survey
Model transformations are the key technique in Model-Driven Engineering (MDE) to manipulate and construct models. As a consequence, the correctness of software systems built with MDE approaches relies mainly on the correctness ... -
Modeling Urban Digital Twins over the Cloud-to-Thing Continuum
The interest in the development of smart cities and the proliferation of digital twins as a powerful information processing technology have lead to the definition of Urban Digital Twins (UDTs). UDTs model city aspects such ... -
Modelling Digital Avatars: a tuple space approach
The development of the Internet of Things (IoT) came with the manufacturing of a huge amount of smart things equipped with sensors for making them aware of their environment, and with network connection for allowing remote ... -
Multiobjective electric vehicle charging station locations in a city scale area: Malaga study case.
This article presents a multiobjective variation of the problem of locating electric vehicle charging stations (EVCS) in a city known as the Multiobjective Electric Vehicle Charging Stations Locations (MO-EVCS-L) problem. ... -
NITRO: a gadget to transform standard rollators into smart rollators for monitoring user conditions.
Ballesteros-Gómez, Joaquín; Fernández-Carmona, Manuel; Urdiales-García, Amalia Cristina (2023-11-26)
The goal of using a rollator is to provide physical stability, support, and increase independence while walking or performing daily activities. The decision to use a rollator is often made in consultation with healthcare ... -
NK Hybrid Genetic Algorithm for Clustering
The NK hybrid genetic algorithm for clustering is proposed in this paper. In order to evaluate the solutions, the hybrid algorithm uses the NK clustering validation criterion 2 (NKCV2). NKCV2 uses information about the ... -
NORA: Scalable OWL reasoner based on NoSQL databases and Apache Spark.
Benítez-Hidalgo, Antonio; Navas-Delgado, Ismael; Roldán-García, María del Mar (Wiley, 2023-09-04)
Reasoning is the process of inferring new knowledge and identifying inconsistencies within ontologies. Traditional techniques often prove inadequate when reasoning over large Knowledge Bases containing millions or billions ... -
On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML
(SpringerLink, 2023-05-23) -
Parallel multi-objective metaheuristics for smart communications in vehicular networks.
Toutouh-el-Alamin, Jamal; Alba-Torres, Enrique (Springer Nature, 2015)
This article analyzes the use of two parallel multi-objective soft computing algorithms to automatically search for high-quality settings of the Ad hoc On Demand Vector routing protocol for vehicular networks. These methods ... -
Policy Based Management for Security in Cloud Computing.
Waller, Adrian; Sandy, Ian; Power, Eamonn; Aivaloglou, Efthimia; Skianis, Charalampos; Maña-Gómez, Antonio; Muñoz-Gallego, Antonio Jesús[et al.] (Springer, 2011)
Este trabajo aborda la gestión basada en políticas (PBM) como una solución para la seguridad en entornos de computación en la nube. La computación en la nube, al ofrecer plataformas compartidas, plantea desafíos significativos ... -
Preference-Based Evolutionary Multiobjective Optimization Through the Use of Reservation and Aspiration Points
González-Gallardo, Sandra; Saborido Infantes, Rubén; Ruiz-Mora, Ana Belén; Luque-Gallego, Mariano (IEEE (Institute of Electrical and Electronics Engineers), 2021)
Preference-based Evolutionary Multiobjective Optimization (EMO) algorithms approximate the region of interest (ROI) of the Pareto optimal front defined by the preferences of a decision maker (DM). Here, we propose a ... -
¿Qué es un Gemelo Digital? Una Propuesta de Arquitectura para su Implementación
En los últimos años, los gemelos digitales se han presentado como un paradigma innovador para mejorar el funcionamiento de sistemas ciberfísicos, software o procesos. El gemelo digital es una réplica virtual del sistema ... -
Quirk+: A Tool for Quantum Software Development Based on Quirk.
Zayas Gallardo, Javier; Moguel, Enrique; Canal-Velasco, José Carlos; García-Alonso, José (IEEE, 2024)
Quantum computing is becoming increasingly relevant. Numerous research efforts are being carried out to improve quantum computers by increasing the number of qubits in their processors, mitigating noise, etc. However, the ... -
Random Error Sampling-based Recurrent Neural Network Architecture Optimization.
Camero Unzueta, Andres; Toutouh-el-Alamin, Jamal; Alba-Torres, Enrique (Elsevier, 2020-09-15)
Recurrent neural networks are good at solving prediction problems. However, finding a network that suits a problem is quite hard because their performance is strongly affected by their architecture configuration. Automatic ... -
Real-Time Crowd Counting based on wearable Ephemeral IDs
Morales, Daniel; Agudo-Ruiz, Isaac; López-Muñoz, Francisco Javier (SCITEPRESS, 2022)
Crowd Counting is a very interesting problem aiming at counting people typically based on density averages and/or aerial images. This is very useful to prevent crowd crushes, especially on urban environments with high ...