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Analysis and Detection in V-Formations with Outliers
dc.rights.licence | Atribución-NoComercial-SinDerivadas 4.0 Internacional | * |
dc.contributor.author | Moreno Arboleda, Francisco Javier | |
dc.contributor.author | Guzmán Luna, Jaime Alberto | |
dc.contributor.author | Gómez Arias, Sebastián Alonso | |
dc.date.accessioned | 2020-04-16T17:27:30Z | |
dc.date.available | 2020-04-16T17:27:30Z | |
dc.date.created | 2014-05-30 | |
dc.identifier | http://revistas.javeriana.edu.co/index.php/iyu/article/view/4962 | |
dc.identifier.issn | 2011-2769 | |
dc.identifier.issn | 0123-2126 | |
dc.identifier.uri | http://hdl.handle.net/10554/25829 | |
dc.description.abstract | Diversos patrones de movimiento se pueden identificar cuando se estudia un conjunto de entidades en movimiento. Uno de estos patrones se conoce como formación en V ya que su forma se asemeja a dicha letra. Informalmente, un conjunto de entidades exhibe una formación en V si las entidades están ubicadas en una de sus dos líneas características. En este artículo, se presenta un modelo para identificar formaciones en V con outliers. Un outlier es una entidad que hace parte de la formación pero que está alejada de sus líneas características. Se presentan las reglas formales del modelo y un algoritmo para la detección de outliers. El modelo se validó mediante NetLogo, un entorno de programación y de modelamiento para la simulación de fenómenos naturales y sociales. | spa |
dc.format | spa | |
dc.format.mimetype | application/pdf | spa |
dc.format.mimetype | application/pdf | spa |
dc.format.mimetype | application/octet-stream | spa |
dc.language.iso | spa | |
dc.publisher | Pontificia Universidad Javeriana | eng |
dc.relation.uri | http://revistas.javeriana.edu.co/index.php/iyu/article/view/4962/6907 | |
dc.relation.uri | http://revistas.javeriana.edu.co/index.php/iyu/article/view/4962/7544 | |
dc.relation.uri | http://revistas.javeriana.edu.co/index.php/iyu/article/view/4962/17872 | |
dc.title | Analysis and Detection in V-Formations with Outliers | spa |
dc.type.hasversion | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
dc.title.english | Analysis and Detection in V-Formations with Outliers | eng |
dc.description.abstractenglish | A diversity of movement patterns may be identified whenstudying a set of moving entities. One of these patterns iscalled V-formation since its shape resembles such letter.Informally, a set of entities shows a V-formation if theyare located in one of its two characteristic lines. In thispaper, we propose a model for identifying V-formationswith outliers in a list of moving entities. An outlier is anentity of the formation that is apart from its characteristiclines. We present the formal rules of our model and analgorithm for detecting outliers. Our model was validatedin NetLogo, a programming and modeling environmentfor simulating natural and social phenomena. | eng |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
dc.type.local | Artículo de revista | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | |
dc.relation.citationissue | Ingenieria y Universidad; Vol 18 No 1 (2014): January-June; 43 - 58 | eng |
dc.relation.citationissue | Ingenieria y Universidad; Vol. 18 Núm. 1 (2014): Enero-Junio; 43 - 58 | spa |
dc.rights.coar | http://purl.org/coar/access_right/c_abf2 | spa |
dc.type.driver | info:eu-repo/semantics/article | |
dc.type.other | Article | |
dc.type.other | investigación científica |
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Ingeniería y Universidad [283]
Ingeniería y Universidad - Engineering for development covers research focusing on sustainable human development. Targetted manuscripts consider Humans as final recipients of engineering research activity. This activity comes from any engineering field that provides solutions aimed at improving the quality of life by reducing risks, introducing new sustainable materials, more efficient use of natural resources, satisfying energy and food demands, increasing industry competitiveness and designing new safe jobs for human beings. Contributions with global relevance with potential of local application considering social, ethical, cultural, economic, environmental aspects are especially welcomed.