Emergency Situation Awareness: Twitter Case Studies

2014 ◽  
pp. 218-231 ◽  
Author(s):  
Robert Power ◽  
Bella Robinson ◽  
John Colton ◽  
Mark Cameron
Keyword(s):  
Case Studies ◽  
Situation Awareness ◽  
Emergency Situation

scholarly journals Situation awareness modeling for emergency management on offshore platforms

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Syed Nasir Danial ◽  
Jennifer Smith ◽  
Faisal Khan ◽  
Brian Veitch
Keyword(s):  
Emergency Management ◽  
Case Studies ◽  
Situation Awareness ◽  
Emergency Evacuation ◽  
Offshore Platforms ◽  
Markov Logic ◽  
Cognitive States ◽  
Active Research ◽  
Human Participants ◽  
Fire Accidents

Abstract Situation awareness is the first and most important step in emergency management. It is a dynamic step involving evolving conditions and environments. It is an area of active research. This study presents a Markov Logic Network to model SA focusing on fire accidents and emergency evacuation. The model has been trained using empirical data obtained from case studies. The case studies involved human participants who were trained for responding to emergencies involving fire and smoke using a virtual environment. The simulated (queried) and empirical findings are reasonably consistent. The proposed model enables implementing an agent that exploits environmental cues and cognitive states to determine the type of emergency currently being faced. Considering each emergency type as a situation, the model can be used to develop a repertoire of situations for agents so that the repertoire can act as an agent’s experience for later decision-making.

scholarly journals Image Classification to Support Emergency Situation Awareness

2016 ◽  
Vol 3 ◽  
Author(s):  
Ryan Lagerstrom ◽  
Yulia Arzhaeva ◽  
Piotr Szul ◽  
Oliver Obst ◽  
Robert Power ◽  
...  
Keyword(s):  
Image Classification ◽  
Situation Awareness ◽  
Emergency Situation

scholarly journals Integrated Incident Decision-Support using Traffic Simulation and Data-Driven Models

2018 ◽  
Vol 2672 (42) ◽  
pp. 247-256
Author(s):  
Tao Wen ◽  
Adriana-Simona Mihăiţă ◽  
Hoang Nguyen ◽  
Chen Cai ◽  
Fang Chen
Keyword(s):  
Decision Support ◽  
Real Time ◽  
Case Studies ◽  
Situation Awareness ◽  
Large Scale ◽  
Traffic Simulation ◽  
Data Driven ◽  
Incident Management ◽  
Management Platform ◽  
Transport Management

This paper introduces the framework of an innovative incident management platform with the main objective of providing decision-support and situation awareness for transport management purposes on a real-time basis. The logic of the platform is to detect and then classify incidents into two types: recurrent and non-recurrent, based on their frequency and characteristics. Under this logic, recurrent incidents trigger the data-driven machine learning module which can predict and analyze the incident impact, in order to facilitate informed decisions for transport management operators. Non-recurrent incidents activate the simulation module, which then evaluates quantitatively the performance of candidate response plans in parallel. The simulation output is used for choosing the most appropriate response plan for incident management. The current platform uses a data processing module to integrate complementary data sets, for the purpose of improving modeling outputs. Two real-world case studies are presented: 1) for recurrent incident management using a data-driven model, and 2) for non-recurrent incident management using traffic simulation with parallel scenario evaluation. The case studies demonstrate the viability of the proposed incident management framework, which provides an integrated approach for real-time incident decision-support on large-scale networks.

scholarly journals Remote certification processes during global pandemic times

2021 ◽  
Vol 92 ◽  
pp. 01037
Author(s):  
Paweł Nowicki ◽  
Piotr Kafel
Keyword(s):  
Case Studies ◽  
Value Added ◽  
Emergency Situation ◽  
Accreditation Body ◽  
Conformity Assessment ◽  
Remote Work ◽  
Current Crisis ◽  
Global Pandemic ◽  
Process System ◽  
The Impact

Research background: Conformity assessment as defined in the ISO/IEC 17000 standard shows that the specified requirements for the product, process, system, person or entity have been met. A special type of conformity assessment is certification, in which the assessment is carried out by independent organizations, which has been confirmed by an accreditation body. The current crisis related to the development of the COVID-19 global pandemic has forced many organizations to change traditional forms of operation and, where it was possible, switch to a remote mode of work. Purpose of the article: The need to adapt to new realities did not bypass the certification bodies that adapted to the emergency situation, using the possibilities of remote work, including as part of certification processes. The purpose of this publication is to indicate the context of the certification bodies’ operation and the impact of such proceedings on trust in the results of their work as well as to show the changes of the way of conducting certification audits by the certification bodies. Methods: For above mentioned matter, four certification bodies were analysed in the area of remote certification processes. The used methodology was a case studies including a direct interviews with certification bodies representatives. Findings and Value Added: The main findings are related to the following issues concerning that remote auditing processes ensure business continuity; there is an increased confidence in results among customers of certification bodies; changes in process costs.

Sign in / Sign up

Export Citation Format

Share Document