Listar Laboratorio de Bases de Datos (LBD) por fecha de publicación
Mostrando ítems 21-40 de 58
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Energy Consumption in Compact Integer Vectors: A Study Case
(Institute of Electrical and Electronics Engineers, 2019-10-25)[Abstract] In the field of algorithms and data structures analysis and design, most of the researchers focus only on the space/time trade-off, and little attention has been paid to energy consumption. Moreover, most of the ... -
Improved Compressed String Dictionaries
(ACM, 2019-11-03)[Abstract] We introduce a new family of compressed data structures to efficiently store and query large string dictionaries in main memory. Our main technique is a combination of hierarchical Front-coding with ideas from ... -
Aprendizaje experiencial e introducción de estresores en el diseño de una práctica centrada en procesos de gestión
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2020)[Resumen]: La formación de los futuros ingenieros de software re- quiere de un equilibrio entre el desarrollo de habilidades técnicas y blandas (i.e, soft-skills) Este trabajo explora el diseño de una sesión práctica que, ... -
Extending general compact querieable representations to GIS applications
(Elsevier, 2020-01)[Abstract]: The raster model is commonly used for the representation of images in many domains, and is especially useful in Geographic Information Systems (GIS) to store information about continuous variables of the space ... -
Efficient Processing of Raster and Vector Data
(Public Library of Science, 2020-01-10)[Abstract] In this work, we propose a framework to store and manage spatial data, which includes new efficient algorithms to perform operations accepting as input a raster dataset and a vector dataset. More concretely, we ... -
Compressed Data Structures for Binary Relations in Practice
(Institute of Electrical and Electronics Engineers, 2020-01-31)[Abstract] Binary relations are commonly used in Computer Science for modeling data. In addition to classical representations using matrices or lists, some compressed data structures have recently been proposed to represent ... -
An Action Research for Improving the Sustainability Assessment Framework Instruments
(MDPI AG, 2020-02-24)[Abstract] In the last years, software engineering researchers have defined sustainability as a quality requirement of software, but not enough effort has been devoted to develop new methods/techniques to support the ... -
Revisiting Compact RDF Stores Based on k2-Trees
(IEEE Xplore, 2020-03)[Abstract]: We present a new compact representation to efficiently store and query large RDF datasets in main memory. Our proposal, called BMatrix, is based on the k 2 -tree, a data structure devised to represent binary ... -
Towards a Non-Functional Requirements Discovery Approach for Persuasive Systems
(Association for Computing Machinery, 2020-03-30)[Abstract] A number of software systems that attempt to help people achieve behavior change have been proposed in various domains such as health and wellness. However, sometimes, such systems have failed to provide a ... -
A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors
(MDPI AG, 2020-04-13)[Abstract] In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. ... -
An Architecture for Software Engineering Gamification
(Qinghua Daxue Xuebao Bianjibu,Tsinghua University, Editorial Board, 2020-05-07)[Abstract] Gamification has been applied in software engineering to improve quality and results by increasing people's motivation and engagement. A systematic mapping has identified research gaps in the field, one of them ... -
Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information
(BioMed Central Ltd., 2020-06-03)[Abstract] Background Diffusion MRI is the preferred non-invasive in vivo modality for the study of brain white matter connections. Tractography datasets contain 3D streamlines that can be analyzed to study the main ... -
From Coarse to Fine-Grained Parcellation of the Cortical Surface Using a Fiber-Bundle Atlas
(Frontiers Research Foundation, 2020-09-10)[Abstract] In this article, we present a hybrid method to create fine-grained parcellations of the cortical surface, from a coarse-grained parcellation according to an anatomical atlas, based on cortico-cortical connectivity. ... -
Accessible Routes Integrating Data from Multiple Sources
(MDPI AG, 2020-12-26)[Abstract] Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge ... -
Boosting Perturbation-Based Iterative Algorithms to Compute the Median String
(IEEE, 2021)[Abstract] The most competitive heuristics for calculating the median string are those that use perturbation-based iterative algorithms. Given the complexity of this problem, which under many formulations is NP-hard, the ... -
Succinct Data Structures in the Realm of GIS
(MDPI, 2021)[Abstract] Geographic Information Systems (GIS) have spread all over our technological environment in the last decade. The inclusion of GPS technologies in everyday portable devices along with the creation of massive ... -
Tool for SPARQL Querying over Compact RDF Representations
(MDPI, 2021)[Abstract] We present an architecture for the efficient storing and querying of large RDF datasets. Our approach seeks to store RDF datasets in very little space while offering complete SPARQL functionality. To achieve ... -
Towards a Semi-Automated Data-Driven Requirements Prioritization Approach for Reducing Stakeholder Participation in SPL Development
(MDPI, 2021)[Abstract] Requirements prioritization (RP), part of Requirements engineering (RE), is an essential activity of Software Product-Lines (SPL) paradigm. Similar to standard systems, the identification and prioritization of ... -
Space-Efficient Representations of Raster Time Series
(Elsevier, 2021)[Abstract] Raster time series, a.k.a. temporal rasters, are collections of rasters covering the same region at consecutive timestamps. These data have been used in many different applications ranging from weather forecast ... -
An index for moving objects with constant-time access to their compressed trajectories
(Taylor & Francis, 2021)[Abstract]: As the number of vehicles and devices equipped with GPS technology has grown explosively, an urgent need has arisen for time- and space-efficient data structures to represent their trajectories. The most commonly ...
