典型文献
Semantic framework of event detection in emergency situations for smart buildings
文献摘要：
Multimedia Sensor Networks (MSNs) have enhanced the ability to analyze the environment and provide responses based on its current status.Generally,MSNs are composed of scalar and multimedia sensors that have fixed lo-cations.However,given the advancement of smart mobile device technologies,it is currently possible to dynamically integrate mobile sensors into MSNs.In this paper,we propose a formal platform to manage MSNs and the data gathered from them to detect complex events.Our main contributions include:M2SSN-Onto,a Mobile and Multimedia Semantic Sensor Networks Ontology;,Py-CEMiD,an engine for detecting complex events and generate reactions to them;a mobile device location engine to locate mobile sensors;and a proof-of-concept in the context of detecting emergency situations in smart buildings.Several scenarios are validated for emergency events,combining simulated sensor measurements with real measurements of mobile devices.Results show complex events can be detected in near real time (less than 1 s).
文献关键词：
中图分类号：
作者姓名：
Yudith Cardinale;Gabriel Freites;Edgar Valderrama;Ana Aguilera;Chinnapong Angsuchotmetee
作者机构：
Departamento de Computación,Universidad Simón Bolívar,Caracas,Venezuela;Escuela de Ingeniería Informática,Universidad de Valparaíso,valparaíso,Chile;Faculty of Science Prince of Songkla University,Thailand
文献出处：
引用格式：
[1]Yudith Cardinale;Gabriel Freites;Edgar Valderrama;Ana Aguilera;Chinnapong Angsuchotmetee-.Semantic framework of event detection in emergency situations for smart buildings)[J].数字通信与网络（英文）,2022(01):64-79
A类：
M2SSN,CEMiD
B类：
Semantic,framework,detection,emergency,situations,smart,buildings,Multimedia,Sensor,Networks,MSNs,have,enhanced,ability,analyze,environment,provide,responses,its,status,Generally,are,composed,scalar,multimedia,sensors,that,fixed,cations,However,given,advancement,mobile,technologies,currently,possible,dynamically,integrate,into,In,this,paper,propose,formal,platform,manage,data,gathered,from,them,complex,events,Our,main,contributions,include,Mobile,Ontology,Py,engine,detecting,generate,reactions,location,locate,proof,concept,context,Several,scenarios,validated,combining,simulated,measurements,real,devices,Results,show,can,be,detected,near,less,than
AB值：
0.565516
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