Jabeen, S. and Malik, T.S. and Abdullah, A. and Hasan, M.H. (2021) Lockdown Strategy to Control Covid-19 Pandemic Using Automata. In: UNSPECIFIED.
Full text not available from this repository.Abstract
The fatal disease of COVID-19 is wrapping up the whole world. Long-term lockdown policy has become the main reason for an increase in the unemployment rate all around the globe which has affected the economy of the developed and third world countries disastrously. This paper is written to suggest a solution for the COVID-19 pandemic. The best counter-strategy would be to clean a region with a preplanned structure of short-term lockdown using the Strategic Algorithm. The area needs to be divided into two equal parts and each part will then be further divided into five subparts. These parts will be cleaned and sanitized simultaneously through the specific set of rules determined by the Strategic Algorithm. Results of the cleaning mechanism are generated using simulation of non-deterministic and deterministic automata for each accepted or cleaned area in the JFLAP tool. The current study provides a short-term lockdown mechanism for cleaning a specific area and taking other strategic steps within the lockdown period to minimize the COVID-19 effects. © 2021 IEEE.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 0; Conference of 6th International Conference on Computer and Information Sciences, ICCOINS 2021 ; Conference Date: 13 July 2021 Through 15 July 2021; Conference Code:170762 |
Uncontrolled Keywords: | Robots, Deterministic automata; Fatal disease; Set of rules; Short term; Specific areas; Third-world countries; Unemployment rates, Automata theory |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 10 Nov 2023 03:29 |
Last Modified: | 10 Nov 2023 03:29 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/14697 |