SECTOR: Secure Common Information Space for the Interoperability of First Responders

Cinque, Marcello; Esposito, Christian; Fiorentino, Mario; Mauthner, Jana; Szklarski, Łukasz; Wilson, Frank A.; Semet, Yann; Pignon, Jean Paul

doi:10.1016/j.procs.2015.08.622

Cited by 8 publications

(3 citation statements)

References 3 publications

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“…In the following, we analyze several recent projects. In (Cinque et al, 2015), the authors proposed a CIMS as part of the project SECTOR (Secure common information space for the interoperability of first responders). Authors proposed a common information space (CIS) that provides users "peer-to-peer" functionalities to dynamically establish cross-agencies and cross-borders collaborative platform.…”

Section: B Study Of Crisis Information Management Systemsmentioning

confidence: 99%

“…In (Cinque et al, 2016), the authors propose a CIMS named DESTRIERO (A DEcision Support Tool for Reconstruction and recovery and for the IntEroperability of international Relief units in case of complex crises situations, including CBRN contamination risks). It is a middleware platform for messaging, knowledge management, and data transformation in large-scale disasters (Cinque et al, 2015). DESTRIERO pursues a federated interoperability approach by proposing a standard-based formal ontology in order to remove conceptual and technological interoperability barriers by resolving technological, syntactical and semantic heterogeneity of data occurring among organizations.…”

Section: Let Us Focus Now On the European Project Disaster (Data Interoperability Solutions At Stakeholdersmentioning

confidence: 99%

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A Semantics-Based Common Operational Command System for Multiagency Disaster Response

Elmhadhbi

Karray

Archimède

et al. 2022

IEEE Trans. Eng. Manage.

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Disaster response is a highly collaborative and critical process that requires the involvement of multiple government agencies and emergency responders (ERs) ideally working together under a unified command to enable a rapid and effective operational response. Following the 9/11 and 11/13 terrorist attacks, and the devastation of hurricanes Katrina and Rita, it is apparent that inadequate communication and a lack of interoperability among the ERs engaged on-site can adversely affect disaster response efforts. Within this context, we present a scenario-based terrorism case study to highlight the challenges of operational disaster command and response. In this work, which is based on the French emergency response doctrine, we introduce a semantics-based common operational command system that is designed to guarantee an efficient information flow among ERs. In particular, our focus is on offering to all ERs a real-time operational picture of the situation in order to enable multi-level coordination among firefighters, police, gendarmerie, healthcare units, public authorities, and other stakeholders. Our approach consolidates information in order to promote timely sharing among ERs. The proposed system is based on an ontology that has been developed to represent the different types of knowledge on the part of ERs, providing a shared vocabulary that covers a variety of interoperability concerns arising for example because data are collected in different formats, because the different functions of different stakeholders are not taken into account, and because there are failures of coordination among different groups of emergency responders.

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Section: B Study Of Crisis Information Management Systemsmentioning

confidence: 99%

Section: Let Us Focus Now On the European Project Disaster (Data Interoperability Solutions At Stakeholdersmentioning

confidence: 99%

A Semantics-Based Common Operational Command System for Multiagency Disaster Response

Elmhadhbi

Karray

Archimède

et al. 2022

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

show abstract

“…Adding sensors and providing more data to the first responder can cause data overload difficulties. If the data is overwhelming, the first responder may not be able to perform important activities [6,7]. A first responder can make a wrong decision because he/she cannot quickly extract key insights from the flood of information.…”

Section: Introductionmentioning

confidence: 99%

Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks

Yun¹,

Bustos²,

Lu³

2018

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A flashover occurs when a fire spreads very rapidly through crevices due to intense heat. Flashovers present one of the most frightening and challenging fire phenomena to those who regularly encounter them: firefighters. Firefighters' safety and lives often depend on their ability to predict flashovers before they occur. Typical pre-flashover fire characteristics include dark smoke, high heat, and rollover ("angel fingers") and can be quantified by color, size, and shape. Using a color video stream from a firefighter's body camera, we applied generative adversarial neural networks for image enhancement. The neural networks were trained to enhance very dark fire and smoke patterns in videos and monitor dynamic changes in smoke and fire areas. Preliminary tests with limited flashover training videos showed that we predicted a flashover as early as 55 seconds before it occurred.

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Key Factors of Government Knowledge Base Adoption in First-, Second- and Third-Tier Cities in China

Zhou,

2024

Lecture Notes in Computer Science

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SECTOR: Secure Common Information Space for the Interoperability of First Responders

Cited by 8 publications

References 3 publications

A Semantics-Based Common Operational Command System for Multiagency Disaster Response

A Semantics-Based Common Operational Command System for Multiagency Disaster Response

Predicting Rapid Fire Growth (Flashover) Using Conditional Generative Adversarial Networks

Key Factors of Government Knowledge Base Adoption in First-, Second- and Third-Tier Cities in China

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