Next-Generation NASA Hazard Detection System Development

2020 ◽  
Author(s):  
Carolina I. Restrepo ◽  
Po-Ting Chen ◽  
Ronald R. Sostaric ◽  
John M. Carson
Keyword(s):  
Detection System ◽  
System Development ◽  
Next Generation ◽  
Hazard Detection

scholarly journals Anxiety

2019 ◽  
Author(s):  
Angarika Deb ◽  
Nikhil Chaudhary
Keyword(s):  
Detection System ◽  
False Alarms ◽  
Evolutionary Perspective ◽  
Uncertain Environments ◽  
Hazard Detection ◽  
Anxiety Response

From an evolutionary perspective, anxiety can be considered as a psychological hazard-detection system. In uncertain environments, the costs of responding to false cues of danger are often miniscule as compared to those resulting from undetected threats. Therefore, the anxiety response has evolved a bias towards false alarms under conditions of uncertainty. We discuss general and specific types of anxiety responses, underlining how the nature of these are often determined by the particular types of threats in the environment.

An update on TED gunshot detection system development status

2009 ◽  
Author(s):  
Gil A. Tidhar ◽  
Ori Aphek ◽  
Martin Gurovich
Keyword(s):  
Detection System ◽  
System Development ◽  
Development Status

scholarly journals Web-Based Geographic Information System Development of Hotspots Distribution for Monitoring Forest and Land Fires Using Leaflet JavaScript Library (Case Study: Ogan Komering Ilir Regency, South Sumatera)

2021 ◽  
Vol 936 (1) ◽  
pp. 012010
Author(s):  
Bangun Muljo Sukojo ◽  
Diya Rochima Lisakiyanto
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Infrared Imaging ◽  
Spatial Information ◽  
Detection System ◽  
System Development ◽  
Geographic Information ◽  
Burned Area ◽  
Web Based ◽  
The Impact

Abstract Forest and land fires are a disaster that occurs almost every year on Sumatra Island. Ogan Komering Ilir is one of the regencies in South Sumatra Province with a high number of hotspots causing forest and land fires every year. Prevention efforts are important to reduce the impact caused by forest and land fires on various aspects of life. One of them is by building a web-based Geographic Information System (WebGIS) for the distribution of hotspots as a form of early warning and detection system by utilizing VIIRS Nightfire (VNF) data from the remote sensing technology of the Suomi-NPP satellite which has Visible Infrared Imaging Radiometer Suite (VIIRS) active sensors which have been processed with the Nightfire algorithm. The Leaflet JavaScript library plays an important role in adding to the functionality of WebGIS with a wide selection of available plugins and easy-to-read source code to make web-based spatial information more interactive. The prototype of WebGIS with the name OKIApi has been successfully developed and has several key features such as displaying information on the distribution of hotspots that have been classified by temperature; the priority level of firefighting areas and the vulnerability level of flammable areas based on the type of land cover; route to the hotspot or the fire department locations; a chart of the estimated burned area from the source footprint of hotspot; and a chart of the number of hotspots per day that have been classified by temperature. The percentage value of the web feasibility for the functionality test to 13 WebGIS features is 100% with a very good predicate, the usability test is 91.5% with a very good predicate, and the portability test on 18 web browsers applications is 100% with a very good predicate.

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