Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters

Database
Language
Document Type
Year range
1.
International Conference on Intelligent Systems and Networks, ICISN 2022 ; 471 LNNS:379-385, 2022.
Article in English | Scopus | ID: covidwho-1971633

ABSTRACT

At the end of 2019, a new virus called Covid-19 has spread globally. The pandemic situation is evolving very quickly and complicated, requiring governments to deploy measures to prevent and control the Covid epidemic in a synchronous and widespread way throughout the entire territory. Currently, the most widely used method of mass screening is temperature screening because people infected with Covid will have a higher-than-normal body temperature compared to healthy people. This solution is the fastest and has the lowest cost. However, this is mainly done manually and causes a very high risk of cross-infection if the controller accidentally comes into close contact with F0 and gets infected. To solve this problem, an automatic, non-contact temperature measurement system has been researched and developed. The system will notice users then measure their temperature, warn if the person’s temperature exceeds the allowable threshold, from which measures will be taken according to the regulations of the Ministry of Health. After fully researched and designed, the system is demonstrated in many hospitals and events all over Vietnam and proves its ability to ensure continuous operation for a long time, with a local warning function by display, light or buzzer. In the future, we hope that this system will be used in everywhere and become the safest, most common and effective way to prevent the spread of Covid-19. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

2.
International Conference on Intelligent Systems and Networks, ICISN 2022 ; 471 LNNS:83-91, 2022.
Article in English | Scopus | ID: covidwho-1971630

ABSTRACT

N95 disposable respirator masks are of particular importance to the Covid-19 pandemic. The high cost and limited supply of N95 disposable respirators promote research and safe and effective methods of reusing medical masks. The CDC of USA has announced that ultraviolet (UVC) irradiation inactivates SARS-CoV-2, virus, and other microorganisms known to culture on N95, as well as the results affecting mask fit and filterability. In this study, we analyze and evaluate the pathogen inactivation mechanism and the performance of respirators after treatment and perfect the method of ultraviolet irradiation (UVC) to help inactivate of SARS-CoV-2. At the same time, the research team successfully designed, fabricated and tested a semi-automatic system with UVC capacity 0.15 mW/cm2 at 220 nm that inactivated SARS-CoV-2 (3 log reduction) substances analogues of viruses, and other microorganisms grown on N95. The research results aim to commercialize the system technology (1) to inactivate the SARS-CoV-2 virus through the our application of UVC irradiation at the appropriate wavelength and effective dose, and (2) maintain the suitability and N95 filter rate. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

SELECTION OF CITATIONS
SEARCH DETAIL