Zobrazeno 1 - 10
of 354
pro vyhledávání: '"HUANSHENG NING"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract As the core of ontology integration, the task of ontology mapping is to find the semantic relationship between ontologies. Nevertheless, most existing ontology mapping methods only rely ontext information to calculate entity similarity, ther
Externí odkaz:
https://doaj.org/article/c7aa5d7fbb584069bfc558d15bbbd1e8
Publikováno v:
工程科学学报, Vol 46, Iss 8, Pp 1446-1457 (2024)
As the Industrial Internet of Things rapidly evolves, enterprises are increasingly using a wide variety of web containers. However, this growing usage also magnifies the complexities associated with managing these assets, leading to a rise in network
Externí odkaz:
https://doaj.org/article/d12359df118249fc8947d79ac6ed6c90
Autor:
Yujia Lin, Liming Chen, Aftab Ali, Christopher Nugent, Ian Cleland, Rongyang Li, Jianguo Ding, Huansheng Ning
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-21 (2024)
Abstract The concept of the Human Digital Twin (HDT) has recently emerged as a new research area within the domain of digital twin technology. HDT refers to the replica of a physical-world human in the digital world. Currently, research on HDT is sti
Externí odkaz:
https://doaj.org/article/3ccc4c8a93a849039bb87dca2dba679c
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 740-755 (2024)
Effective user authentication is key to ensuring equipment security, data privacy, and personalized services in Internet of Things (IoT) systems. However, conventional mode-based authentication methods (e.g., passwords and smart cards) may be vulnera
Externí odkaz:
https://doaj.org/article/6e869bfbb4bc4e23b5832ac3b0a67d1b
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Prolonged and over-excessive interaction with cyberspace poses a threat to people’s health and leads to the occurrence of Cyber-Syndrome, which covers not only physiological but also psychological disorders. This paper aims to create a tre
Externí odkaz:
https://doaj.org/article/d7c1d4d60f454d27af253abb555f9cae
Autor:
Amar Khelloufi, Abdelkader Khelil, Abdenacer Naouri, Abdelkarim Ben Sada, Huansheng Ning, Nyothiri Aung, Sahraoui Dhelim
Publikováno v:
IEEE Access, Vol 12, Pp 126460-126477 (2024)
The Social Internet of Things (SIoT) is presented as a new paradigm of the Internet of Things that solves the problems of network navigability and provides enhanced service discovery and composition. It aims to socialize the IoT devices and allow the
Externí odkaz:
https://doaj.org/article/17f5068c71c94d93bdce4b0eee11351f
Publikováno v:
IEEE Access, Vol 12, Pp 72924-72937 (2024)
IoT has recently witnessed a boom in AI deployment at the edge as a result of the newly developed small size Machine Learning (ML) models and integrated hardware accelerators. Although it brings huge benefits such as privacy-preserving and low-latenc
Externí odkaz:
https://doaj.org/article/94d9996c3ec84d078ddbee6c044439bd
Autor:
Abdenacer Naouri, Nabil Abdelkader Nouri, Amar Khelloufi, Abdelkarim Ben Sada, Salim Naouri, Huansheng Ning, Sahraoui Dhelim
Publikováno v:
IEEE Access, Vol 12, Pp 37663-37678 (2024)
Internet of Vehicles (IoV) offers many services aiming to enhance the safety and comfort of drivers and passengers such as accident alarms, congestion avoidance, and multimedia, entertainment applications. Cooperatively sharing and retrieving large-s
Externí odkaz:
https://doaj.org/article/025ba24a45114b9182f10465ec84a458
Publikováno v:
工程科学学报, Vol 45, Iss 9, Pp 1528-1538 (2023)
The brain–machine interface has been an integral component of the metaverse since the inception of the latter, in his classic science fiction novel “True Names,” Vernor Vinge, the American mathematician and computer science Professor, describes
Externí odkaz:
https://doaj.org/article/35576cf569fa49ff857c2c89ad363f0b
Publikováno v:
智能科学与技术学报, Vol 5, Pp 143-162 (2023)
Pedestrian trajectory prediction aims to use observed human historical trajectories and surrounding environmental information to predict the future position of the target pedestrian, which has important application value in reducing collision risks f
Externí odkaz:
https://doaj.org/article/7def6db6668f4958ba9d9c0f9c16e4ed