2020
DOI: 10.1108/ijpcc-07-2020-0091
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Smart epidemic tunnel: IoT-based sensor-fusion assistive technology for COVID-19 disinfection

Abstract: Purpose The purpose of the presented IoT based sensor-fusion assistive technology for COVID-19 disinfection termed as “Smart epidemic tunnel” is to protect an individual using an automatic sanitizer spray system equipped with a sanitizer sensing unit based on individual using an automatic sanitizer spray system equipped with a sanitizer sensing unit based on human motion detection. Design/methodology/approach The presented research work discusses a smart epidemic tunnel that can assist an individual in immed… Show more

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Cited by 40 publications
(23 citation statements)
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References 14 publications
(12 reference statements)
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“…Early studies in leadership are focused on the premise that leaders were not born. Researchers decided to define a variety of traits or characteristics that differentiate leaders from 10 or productive leaders [34]. Leadership hypotheses aim to clarify defining features that account for the success of leadership [35].…”
Section: The Trait Theory Paradigmmentioning
confidence: 99%
“…Early studies in leadership are focused on the premise that leaders were not born. Researchers decided to define a variety of traits or characteristics that differentiate leaders from 10 or productive leaders [34]. Leadership hypotheses aim to clarify defining features that account for the success of leadership [35].…”
Section: The Trait Theory Paradigmmentioning
confidence: 99%
“…During the COVID-19 pandemic in China, 5G technology combined with artificial intelligence, biometrics and thermal imaging technology achieved rapid temperature measurement of large-scale mobile populations in multiple railway stations across the country and can quickly identify the wearing of masks. Intelligent temperature measurement of the population not only avoids cross-infection, but also greatly improves the detection efficiency [ 164 , 165 ].…”
Section: Applications and Impacts Of Digital Technology In Fighting Covid-19mentioning
confidence: 99%
“…We gathered some of the information about SM analysis strategies from the literature. Milosevic (2016) and Pandya, Sur & Kotecha (2020) proposed the machine learning technique to forecast long-term investments. This technique results in an F-score of 75.1% for all 28 selected financial variables.…”
Section: Related Workmentioning
confidence: 99%