Show simple item record

dc.contributor.authorMoreno Arboleda, Francisco Javier
dc.contributor.authorGuzmán Luna, Jaime Alberto
dc.contributor.authorGómez Arias, Sebastián Alonso
dc.date2014-05-30
dc.date.accessioned2020-04-16T17:27:30Z
dc.date.available2020-04-16T17:27:30Z
dc.identifierhttp://revistas.javeriana.edu.co/index.php/iyu/article/view/4962
dc.identifier.urihttp://hdl.handle.net/10554/25829
dc.descriptionDiversos 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.es-ES
dc.descriptionA 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.en-US
dc.formatapplication/pdfspa
dc.formatapplication/pdfspa
dc.formatapplication/octet-streamspa
dc.languagespa
dc.publisherPontificia Universidad Javerianaen-US
dc.relationhttp://revistas.javeriana.edu.co/index.php/iyu/article/view/4962/6907
dc.relationhttp://revistas.javeriana.edu.co/index.php/iyu/article/view/4962/7544
dc.relationhttp://revistas.javeriana.edu.co/index.php/iyu/article/view/4962/17872
dc.sourceIngenieria y Universidad; Vol 18 No 1 (2014): January-June; 43 - 58en-US
dc.sourceIngenieria y Universidad; Vol. 18 Núm. 1 (2014): Enero-Junio; 43 - 58es-ES
dc.source2011-2769
dc.source0123-2126
dc.titleAnalysis and Detection in V-Formations with Outlierses-ES
dc.titleAnalysis and Detection in V-Formations with Outliersen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArticle
dc.typeinvestigación científica


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • 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.

Show simple item record