Survey of IC&amp;T in Disaster Mitigation and Disaster Situation Management

Teodorescu, Horia-Nicolai

doi:10.1007/978-94-017-9136-6_1

Cited by 13 publications

(6 citation statements)

References 4 publications

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“…The intelligent clothes represent a paradigm that gains a large area in people’s life. The technological progress determines an easy implementation of models in wearable devices, the “wearability” being a needed feature of intelligent clothes [17,18,19,20,21,22,23,24,25,26,27,28].…”

Section: Introductionmentioning

confidence: 99%

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IoT Based Heart Activity Monitoring Using Inductive Sensors

Brezulianu

Geman

Zbancioc

et al. 2019

Sensors

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This paper presents a system dedicated to monitoring the heart activity parameters using Electrocardiography (ECG) mobile devices and a Wearable Heart Monitoring Inductive Sensor (WHMIS) that represents a new method and device, developed by us as an experimental model, used to assess the mechanical activity of the hearth using inductive sensors that are inserted in the fabric of the clothes. Only one inductive sensor is incorporated in the clothes in front of the apex area and it is able to assess the cardiorespiratory activity while in the prior of the art are presented methods that predict sensors arrays which are distributed in more places of the body. The parameters that are assessed are heart data-rate and respiration. The results are considered preliminary in order to prove the feasibility of this method. The main goal of the study is to extract the respiration and the data-rate parameters from the same output signal generated by the inductance-to-number convertor using a proper algorithm. The conceived device is meant to be part of the “wear and forget” equipment dedicated to monitoring the vital signs continuously.

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Section: Introductionmentioning

confidence: 99%

“…The heart activity monitoring using wearable biosensors has as a goal the continuous assessment of cardiovascular parameters [23,24,25]. An advanced photoplethysmographic technique is presented in [25].…”

Section: Introductionmentioning

confidence: 99%

IoT Based Heart Activity Monitoring Using Inductive Sensors

Brezulianu

Geman

Zbancioc

et al. 2019

Sensors

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“…Findings suggest that digital technology mitigated the SARS pandemic's economic disruption in 2003 (Katz et al, 2020). Technology, in particular, information technologies, can improve resilience, manage information, and support decision-making during periods of uncertainty (Chamola et al, 2020;Katz et al, 2020;Teodorescu, 2014).…”

Section: Hypothesis Building; Covid-19 Pandemic Ai and Dynamic Capabi...mentioning

confidence: 99%

“…Indeed, the COVID-19 pandemic has been associated with reduced sales and revenues resulting from lockdowns to save lives and/or cuts in households' income (Juergensen et al, 2020;Klein & Todesco, 2021;Pedauga et al, 2022). A high level of digitisation remains crucial to keep the economy running during health crisis (Chamola et al, 2020;Teodorescu, 2014). Findings suggest that digital technology mitigated the SARS pandemic's economic disruption in 2003 (Katz et al, 2020).…”

Section: Hypothesis Building; Covid-19 Pandemic Ai and Dynamic Capabi...mentioning

confidence: 99%

Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic

Drydakis

2022

Inf Syst Front

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The study utilises the International Labor Organization's SMEs COVID-19 pandemic business risks scale to determine whether Artificial Intelligence (AI) applications are associated with reduced business risks for SMEs. A new 10-item scale was developed to capture the use of AI applications in core services such as marketing and sales, pricing and cash flow. Data were collected from 317 SMEs between April and June 2020, with follow-up data gathered between October and December 2020 in London, England. AI applications to target consumers online, offer cash flow forecasting and facilitate HR activities are associated with reduced business risks caused by the COVID-19 pandemic for both small and medium enterprises. The study indicates that AI enables SMEs to boost their dynamic capabilities by leveraging technology to meet new types of demand, move at speed to pivot business operations, boost efficiency and thus, reduce their business risks.

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“…A survey on the role of ITC technologies in disaster situations is given in [4]. The literature is largely analyzed and the authors include some personal suggestions and conclusions.…”

Section: Related Workmentioning

confidence: 99%

A bio-inspired model to care for casualties in a disaster

Butincu

Craus

Gavrila

2014

2014 18th International Conference on System Theory, Control and Computing (ICSTCC)

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A bio-inspired model to care for casualties in a disaster is presented and a simulation based on this model is performed and evaluated. The model uses a queuing system inspired by the behavior of immune systems and an ACO-like heuristic for routing casualties across overloaded medical centers. The simulation results are promising. Our model can be modified to be used for the evacuation of population from an affected area in a disaster.

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Survey of IC&T in Disaster Mitigation and Disaster Situation Management

Cited by 13 publications

References 4 publications

IoT Based Heart Activity Monitoring Using Inductive Sensors

IoT Based Heart Activity Monitoring Using Inductive Sensors

Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic

A bio-inspired model to care for casualties in a disaster

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