A proposed collaborative framework by using artificial intelligence-internet of things (AI-IoT) in COVID-19 pandemic situation for healthcare workers

Kumar, Shashank; Raut, Rakesh D.; Narkhede, Balkrishna E.

doi:10.1080/20479700.2020.1810453

Cited by 95 publications

(51 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The smart home can be offered as an example of the popular application areas for this technology [13,14]. While highly innovative technologies-e.g., artificially intelligent internet-of-things (AI-IoT) [15]-are disrupting the industrial processes-i.e., Industry 4.0 [16]-, they are disrupting our cities and societies as well-i.e., smart city and smart community [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

Yiğitcanlar

Corchado

Mehmood

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

149

View full text Add to dashboard Cite

The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a world with immense technological opportunities and at the same time enormous urbanization challenges, it is critical to adopt the principles of responsible urban innovation. These principles assure the delivery of the desired urban outcomes and futures. We contribute to the existing responsible urban innovation discourse by focusing on local government artificial intelligence (AI) systems, providing a literature and practice overview, and a conceptual framework. In this perspective paper, we advocate for the need for balancing the costs, benefits, risks and impacts of developing, adopting, deploying and managing local government AI systems in order to achieve responsible urban innovation. The statements made in this perspective paper are based on a thorough review of the literature, research, developments, trends and applications carefully selected and analyzed by an expert team of investigators. This study provides new insights, develops a conceptual framework and identifies prospective research questions by placing local government AI systems under the microscope through the lens of responsible urban innovation. The presented overview and framework, along with the identified issues and research agenda, offer scholars prospective lines of research and development; where the outcomes of these future studies will help urban policymakers, managers and planners to better understand the crucial role played by local government AI systems in ensuring the achievement of responsible outcomes.

show abstract

Section: Introductionmentioning

confidence: 99%

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

Yiğitcanlar

Corchado

Mehmood

et al. 2021

Journal of Open Innovation: Technology, Market, and Complexity

149

View full text Add to dashboard Cite

show abstract

“…Some researchers and entrepreneurs have noticed the great potential of IoT in the field of sports, such as smart stadiums and smart sports apparel. Rowing, as a competitive sport established by the Olympic Games, is mostly played in natural waters, which can improve the cardiovascular and respiratory functions of the human body and play a role in strengthening the body, and is loved by the public [3]. Therefore, there is still a gap in the market for intelligent rowing training equipment that can be filled.…”

Section: Introductionmentioning

confidence: 99%

[Retracted] Optimization of Intelligent Management and Monitoring System of Sports Training Hall Based on Internet of Things

Qian

2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

This paper provides an indepth analysis and research on the intelligent management and monitoring system of sports training hall through the Internet of Things. Firstly, it introduces the project background of the sports training base stadium service system, analyses the significance of the system development, and describes the related technology and the method of development. The paper then analyses the requirements of the management business of the system and describes the main business processes of the system with activity diagrams; the paper then analyses the functional requirements and data requirements of the system and describes the system with use case diagrams and thumbnail class diagrams, respectively. Based on this, the thesis designs the overall aspect of the system, giving the corresponding total package diagram, and designs all functions one by one, giving the corresponding class diagram, the corresponding sequence diagram, and the corresponding processing flow diagram. The thesis gives the design of database tables by designing entity property diagrams and entity-to-entity relationship diagrams according to the data requirements and system functions. Finally, the research of the thesis is summarized accordingly, stating what has been done, what results have been achieved, what problems still exist, and what further work needs to be done to make the outlook of the work.

show abstract

“…However, the formation of the sensor can be easily accessed by the providers. In order to overcome these issues, the authors proposed architecture using SDN and NFV that will enhance the security of it [ 28 , 52 , 53 ]. NFV can ensure the scalability and the issues of load balancing in the network.…”

Section: Proposed “Edgesdn-i4covid” Framework For Smart Industry Managementmentioning

confidence: 99%

SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

et al. 2021

View full text Add to dashboard Cite

The industrial ecosystem has been unprecedentedly affected by the COVID-19 pandemic because of its immense contact restrictions. Therefore, the manufacturing and socio-economic operations that require human involvement have significantly intervened since the beginning of the outbreak. As experienced, the social-distancing lesson in the potential new-normal world seems to force stakeholders to encourage the deployment of contactless Industry 4.0 architecture. Thus, human-less or less-human operations to keep these IoT-enabled ecosystems running without interruptions have motivated us to design and demonstrate an intelligent automated framework. In this research, we have proposed “EdgeSDN-I4COVID” architecture for intelligent and efficient management during COVID-19 of the smart industry considering the IoT networks. Moreover, the article presents the SDN-enabled layer, such as data, control, and application, to effectively and automatically monitor the IoT data from a remote location. In addition, the proposed convergence between SDN and NFV provides an efficient control mechanism for managing the IoT sensor data. Besides, it offers robust data integration on the surface and the devices required for Industry 4.0 during the COVID-19 pandemic. Finally, the article justified the above contributions through particular performance evaluations upon appropriate simulation setup and environment.

show abstract

A proposed collaborative framework by using artificial intelligence-internet of things (AI-IoT) in COVID-19 pandemic situation for healthcare workers

Cited by 95 publications

References 53 publications

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

[Retracted] Optimization of Intelligent Management and Monitoring System of Sports Training Hall Based on Internet of Things

SDN–IoT empowered intelligent framework for industry 4.0 applications during COVID-19 pandemic

Contact Info

Product

Resources

About