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Next Generation Computing and Communication Hub for First Responders in Smart Cities.
Shaposhnyk, Olha; Lai, Kenneth; Wolbring, Gregor; Shmerko, Vlad; Yanushkevich, Svetlana.
Afiliação
  • Shaposhnyk O; Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.
  • Lai K; Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.
  • Wolbring G; Cummings School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.
  • Shmerko V; Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.
  • Yanushkevich S; Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.
Sensors (Basel) ; 24(7)2024 Apr 08.
Article em En | MEDLINE | ID: mdl-38610580
ABSTRACT
This paper contributes to the development of a Next Generation First Responder (NGFR) communication platform with the key goal of embedding it into a smart city technology infrastructure. The framework of this approach is a concept known as SmartHub, developed by the US Department of Homeland Security. The proposed embedding methodology complies with the standard categories and indicators of smart city performance. This paper offers two practice-centered extensions of the NGFR hub, which are also the main

results:

first, a cognitive workload monitoring of first responders as a basis for their performance assessment, monitoring, and improvement; and second, a highly sensitive problem of human society, the emergency assistance tools for individuals with disabilities. Both extensions explore various technological-societal dimensions of smart cities, including interoperability, standardization, and accessibility to assistive technologies for people with disabilities. Regarding cognitive workload monitoring, the core result is a novel AI formalism, an ensemble of machine learning processes aggregated using machine reasoning. This ensemble enables predictive situation assessment and self-aware computing, which is the basis of the digital twin concept. We experimentally demonstrate a specific component of a digital twin of an NGFR, a near-real-time monitoring of the NGFR cognitive workload. Regarding our second result, a problem of emergency assistance for individuals with disabilities that originated as accessibility to assistive technologies to promote disability inclusion, we provide the NGFR specification focusing on interactions based on AI formalism and using a unified hub platform. This paper also discusses a technology roadmap using the notion of the Emergency Management Cycle (EMC), a commonly accepted doctrine for managing disasters through the steps of mitigation, preparedness, response, and recovery. It positions the NGFR hub as a benchmark of the smart city emergency service.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desastres / Serviços Médicos de Emergência / Socorristas Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desastres / Serviços Médicos de Emergência / Socorristas Limite: Humans Idioma: En Revista: Sensors (Basel) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Canadá