Time-clustering Behaviors of Urban Fires

Physics-based Modeling of Wildland-urban Interface Fires

This paper addresses the development of a practical physics-based model for fires in the wildland-urban intermix. These fires arise when wildland burning invades the built environment. Fire models for ignition and spread must consider individual fuel elements of both vegetation and structures in order to assess fire risk of developed properties. Successful prediction of wildland fire spread has...

Fires in Porous Media: Natural and Urban Canopies

Clustering Big Urban Dataset

Cities are producing and collecting massive amount of data from various sources such as transportation network, energy sector, smart homes, tax records, surveys, LIDAR data, mobile phones sensors etc. All of the aforementioned data, when connected via the Internet, fall under the Internet of Things (IoT) category. To use such a large volume of data for potential scientific computing benefits, i...

Clustering of Wikipedia Pages on Edit Behaviors

We consider the edit history of Wikipedia to perform clustering of the pages. We conjecture that the editors exhibit homophily or high correlation (in terms of the topics of interests). Therefore, it is possible to utilize the edit history to cluster pages having same or closely related topics. We validate our clustering results with the list of categories and the incoming and outgoing links on...

Prevalence of behaviors related to cigarette-caused fires: a survey of Ontario smokers.

OBJECTIVE To identify the prevalence and correlates of behaviors related to the risk of cigarette-caused fires. DESIGN AND SETTING Random-digit-dialed telephone survey in Ontario, Canada, July-September, 2005. SUBJECTS 596 current cigarette smokers. OUTCOME MEASURES Prevalence of fire-risk events and behaviors such as burning clothing or objects in the home, leaving lit cigarettes unatten...