نتایج جستجو برای: emergency responders
تعداد نتایج: 152327 فیلتر نتایج به سال:
Access to accurate and trusted information is vital in preparing for, responding to, and recovering from an emergency. To facilitate response in large-scale emergency situations, Community Response Grids (CRGs) integrate Internet and mobile technologies to enable residents to report information, professional emergency responders to disseminate instructions, and residents to assist one another. ...
The terrorist events of 2001 brought to light the need for a close working relationship between the first responder communities and the public health laboratories in New York State (NYS). Since 2002, the Wadsworth Center's Biodefense Laboratory (BDL) has been providing outreach training to first responders in New York, to enable them to respond safely, correctly, and confidently to biothreat ev...
One conclusion that emerged from our discussions with the emergency re sponder community is that protecting the health and safety of law enforcement responders may be the most challenging personal protection task within the community.1 A major part of the challenge stems from the difficulties in charac terizing the hazards that law enforcement responders face. These difficulties are compounde...
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or of DARPA ATO. ii Abstract The ability for emergency first responders to access sensitive information for which they have not been pre-vetted can save lives and property. We describe a trusted emergency manag...
This paper proposes a novel disaster management system called HAC-ER that addresses some of the challenges faced by emergency responders by enabling humans and agents, using state-ofthe-art algorithms, to collaboratively plan and carry out tasks in teams referred to as human-agent collectives. In particular, HACER utilises crowdsourcing combined with machine learning to extract situational awar...
This paper proposes a novel disaster management system called HAC-ER that addresses some of the challenges faced by emergency responders by enabling humans and agents, using state-ofthe-art algorithms, to collaboratively plan and carry out tasks in teams referred to as human-agent collectives. In particular, HACER utilises crowdsourcing combined with machine learning to extract situational awar...
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