Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

Sahal, Radhya; Alsamhi, Saeed Hamood; Brown, Kenneth N.; O’Shea, Donna; Alouffi, Bader

doi:10.1155/2022/7786441

Cited by 58 publications

(43 citation statements)

References 47 publications

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“…Drones have also become more popular in the mining industry for 3D mapping, public safety [159], and management [160]. The combination of AI, digital twins and blockchain can play a vital role in improving industry 4.0 [161][162][163][164]. However, UAV computing with the above-mentioned technologies will make the developments of Industry 4.0 easier.…”

Section: Industry 40mentioning

confidence: 99%

Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0

Alsamhi

Shvetsov

Kumar

et al. 2022

Drones

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Unmanned Aerial Vehicles (UAVs) are increasingly being used in a high-computation paradigm enabled with smart applications in the Beyond Fifth Generation (B5G) wireless communication networks. These networks have an avenue for generating a considerable amount of heterogeneous data by the expanding number of Internet of Things (IoT) devices in smart environments. However, storing and processing massive data with limited computational capability and energy availability at local nodes in the IoT network has been a significant difficulty, mainly when deploying Artificial Intelligence (AI) techniques to extract discriminatory information from the massive amount of data for different tasks.Therefore, Mobile Edge Computing (MEC) has evolved as a promising computing paradigm leveraged with efficient technology to improve the quality of services of edge devices and network performance better than cloud computing networks, addressing challenging problems of latency and computation-intensive offloading in a UAV-assisted framework. This paper provides a comprehensive review of intelligent UAV computing technology to enable 6G networks over smart environments. We highlight the utility of UAV computing and the critical role of Federated Learning (FL) in meeting the challenges related to energy, security, task offloading, and latency of IoT data in smart environments. We present the reader with an insight into UAV computing, advantages, applications, and challenges that can provide helpful guidance for future research.

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Section: Industry 40mentioning

confidence: 99%

Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0

Alsamhi

Shvetsov

Kumar

et al. 2022

Drones

Self Cite

View full text Add to dashboard Cite

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“…States and hospitals across many countries still have conflicting data on the number of ventilators, PPE, medications, and hospital/ICU beds in the supply chain, their locations, who is allowed to share them, and who is in the greatest need ( 44 , 45 ). The information flow is fragmented and disorganized, making it extremely difficult for government agencies to respond to the needs during the pandemic efficiently.…”

Section: Dynamic Dashboard Modelsmentioning

confidence: 99%

Transforming healthcare through a digital revolution: A review of digital healthcare technologies and solutions

Naik

Hameed

Sooriyaperakasam

et al. 2022

Front. Digit. Health

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The COVID-19 pandemic has put a strain on the entire global healthcare infrastructure. The pandemic has necessitated the re-invention, re-organization, and transformation of the healthcare system. The resurgence of new COVID-19 virus variants in several countries and the infection of a larger group of communities necessitate a rapid strategic shift. Governments, non-profit, and other healthcare organizations have all proposed various digital solutions. It's not clear whether these digital solutions are adaptable, functional, effective, or reliable. With the disease becoming more and more prevalent, many countries are looking for assistance and implementation of digital technologies to combat COVID-19. Digital health technologies for COVID-19 pandemic management, surveillance, contact tracing, diagnosis, treatment, and prevention will be discussed in this paper to ensure that healthcare is delivered effectively. Artificial Intelligence (AI), big data, telemedicine, robotic solutions, Internet of Things (IoT), digital platforms for communication (DC), computer vision, computer audition (CA), digital data management solutions (blockchain), digital imaging are premiering to assist healthcare workers (HCW's) with solutions that include case base surveillance, information dissemination, disinfection, and remote consultations, along with many other such interventions.

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“…This includes two-dimensional animation production software courses and three-dimensional animation production software courses. And the curriculum setting is based on this production process [18]. The details are shown in Figure 5.…”

Section: Conventional Animation Coursementioning

confidence: 99%

Animation Education Innovation of Big Data in the New Media Environment

Zhang

2022

Wireless Communications and Mobile Computing

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Animation education is an essential part of art education. Animation education in China started late, and its development was intermittent. After entering the 21st century, animation education has developed at an unreasonably high speed and has formed layers of animation education bubbles. There are many problems and drawbacks behind the rapid development of animation education, but it has been slowly improved and some results have been achieved. In today’s multimedia age, the digital revolution has brought a brand new environment and space for contemporary animation, and a large cross-field animation industry is gradually taking shape. China’s animation industry should actively respond to the overall innovation of the global animation industry and build a new animation industry development model that adapts to the era of big data. And it builds an animation education system that adapts to the big data environment and continuously supplies talents for the animation industry. This article will study the innovation of animation education based on big data. This article introduces innovative methods of animation education based on big data and designs an animation education platform based on big data. It also conducted a questionnaire survey of learners using the platform based on the Technology Acceptance Model (TAM) and concluded: among the four-dimensional options of TAM, the average proportion of people who choose to agree is 49.5%, and the proportion of people who choose to disagree is 1.81%. This proves that most learners think that the animation learning platform in this article is useful and satisfied with the platform, and only a very small number of people have a poor experience of using the platform.

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Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

Cited by 58 publications

References 47 publications

Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0

Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0

Transforming healthcare through a digital revolution: A review of digital healthcare technologies and solutions

Animation Education Innovation of Big Data in the New Media Environment

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