CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19

Khalid J. Almalki; Sejun Song; Muhammad Mohzary; Baek Young Choi

CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19

Khalid J. Almalki
, Sejun Song
, Muhammad Mohzary
, Baek Young Choi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

COVID-19 has been causing several pandemic waves worldwide due to its long incubation period and hostile asymptomatic transmission. Society should continue to practice social distancing and masking in public despite aggressive vaccinations until achieving population immunity. However, the existing technology solutions, such as contact tracing apps and social-distancing devices, have been faced with suspicion due to privacy and accuracy concerns and have not been widely adopted. This paper proposes a novel infection management system named Crowd-based Alert and Tracing Services (CATS) to build a safe community cluster. CATS applies social distancing and masking principles to small, focused communities to provide higher privacy protection, efficient penetration of technology, and greater accuracy. We have designed a smart tag for managing social distancing. We also implemented a Machine Learning (ML)-based face mask tracking system to build non-binary Safety Impact Values (SIV).

Original language	English (US)
Title of host publication	Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management
Editors	Toufik Ahmed, Olivier Festor, Yacine Ghamri-Doudane, Joon-Myung Kang, Alberto E. Schaeffer-Filho, Abdelkader Lahmadi, Edmundo Madeira
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	697-701
Number of pages	5
ISBN (Electronic)	9783903176324
State	Published - May 17 2021
Externally published	Yes
Event	17th IFIP/IEEE International Symposium on Integrated Network Management, IM 2021 - Virtual, Bordeaux, France Duration: May 17 2021 → May 21 2021

Publication series

Name	Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management

Conference

Conference	17th IFIP/IEEE International Symposium on Integrated Network Management, IM 2021
Country/Territory	France
City	Virtual, Bordeaux
Period	5/17/21 → 5/21/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

COVID-19
Machine Learning
Mask-wearing
Social Distancing

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems and Management

Cite this

Almalki, K. J., Song, S., Mohzary, M., & Choi, B. Y. (2021). CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19. In T. Ahmed, O. Festor, Y. Ghamri-Doudane, J.-M. Kang, A. E. Schaeffer-Filho, A. Lahmadi, & E. Madeira (Eds.), Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management (pp. 697-701). Article 9464005 (Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management). Institute of Electrical and Electronics Engineers Inc..

CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19. / Almalki, Khalid J.; Song, Sejun; Mohzary, Muhammad et al.
Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management. ed. / Toufik Ahmed; Olivier Festor; Yacine Ghamri-Doudane; Joon-Myung Kang; Alberto E. Schaeffer-Filho; Abdelkader Lahmadi; Edmundo Madeira. Institute of Electrical and Electronics Engineers Inc., 2021. p. 697-701 9464005 (Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Almalki, KJ, Song, S, Mohzary, M & Choi, BY 2021, CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19. in T Ahmed, O Festor, Y Ghamri-Doudane, J-M Kang, AE Schaeffer-Filho, A Lahmadi & E Madeira (eds), Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management., 9464005, Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management, Institute of Electrical and Electronics Engineers Inc., pp. 697-701, 17th IFIP/IEEE International Symposium on Integrated Network Management, IM 2021, Virtual, Bordeaux, France, 5/17/21.

Almalki KJ, Song S, Mohzary M, Choi BY. CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19. In Ahmed T, Festor O, Ghamri-Doudane Y, Kang JM, Schaeffer-Filho AE, Lahmadi A, Madeira E, editors, Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management. Institute of Electrical and Electronics Engineers Inc. 2021. p. 697-701. 9464005. (Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management).

Almalki, Khalid J. ; Song, Sejun ; Mohzary, Muhammad et al. / CATS : Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19. Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management. editor / Toufik Ahmed ; Olivier Festor ; Yacine Ghamri-Doudane ; Joon-Myung Kang ; Alberto E. Schaeffer-Filho ; Abdelkader Lahmadi ; Edmundo Madeira. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 697-701 (Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management).

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title = "CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19",

abstract = "COVID-19 has been causing several pandemic waves worldwide due to its long incubation period and hostile asymptomatic transmission. Society should continue to practice social distancing and masking in public despite aggressive vaccinations until achieving population immunity. However, the existing technology solutions, such as contact tracing apps and social-distancing devices, have been faced with suspicion due to privacy and accuracy concerns and have not been widely adopted. This paper proposes a novel infection management system named Crowd-based Alert and Tracing Services (CATS) to build a safe community cluster. CATS applies social distancing and masking principles to small, focused communities to provide higher privacy protection, efficient penetration of technology, and greater accuracy. We have designed a smart tag for managing social distancing. We also implemented a Machine Learning (ML)-based face mask tracking system to build non-binary Safety Impact Values (SIV).",

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AU - Choi, Baek Young

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AB - COVID-19 has been causing several pandemic waves worldwide due to its long incubation period and hostile asymptomatic transmission. Society should continue to practice social distancing and masking in public despite aggressive vaccinations until achieving population immunity. However, the existing technology solutions, such as contact tracing apps and social-distancing devices, have been faced with suspicion due to privacy and accuracy concerns and have not been widely adopted. This paper proposes a novel infection management system named Crowd-based Alert and Tracing Services (CATS) to build a safe community cluster. CATS applies social distancing and masking principles to small, focused communities to provide higher privacy protection, efficient penetration of technology, and greater accuracy. We have designed a smart tag for managing social distancing. We also implemented a Machine Learning (ML)-based face mask tracking system to build non-binary Safety Impact Values (SIV).

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KW - Machine Learning

KW - Mask-wearing

KW - Social Distancing

UR - https://www.scopus.com/pages/publications/85113631266

UR - https://www.scopus.com/pages/publications/85113631266#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:85113631266

T3 - Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management

SP - 697

EP - 701

BT - Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management

A2 - Ahmed, Toufik

A2 - Festor, Olivier

A2 - Ghamri-Doudane, Yacine

A2 - Kang, Joon-Myung

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A2 - Madeira, Edmundo

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 17 May 2021 through 21 May 2021

ER -

CATS: Crowd-based Alert and Tracing Services for building a Safe Community Cluster against COVID-19

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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Cite this