Machine Learning/AI for IoT, M2M, and Computer Communication

Yalew, Zelalem Jembre; Ahmed, Syed Hassan; Choi, Young‐June; Lloret, Jaime

doi:10.1002/ett.3757

Cited by 5 publications

(2 citation statements)

References 19 publications

(21 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e layout of the pottery generation and the ceramic auditorium is seen. e ceramic data centre framework classifier is developed [20] for the online pottery region.…”

Section: Introduction To Ceramic Artmentioning

confidence: 99%

Art Design Teaching Based on the Multidata Fusion Algorithm and Virtual Simulation Technology

Liang

2022

Mobile Information Systems

View full text Add to dashboard Cite

Virtual Reality (VR) technologies are widely applied to teaching art design. VR has been created with high-level techniques that create the artificial environment to support virtual aesthetics. Especially ceramics art design requires technical advancement to enhance business individuals. However, the user requires the virtual reality experience to improve the art design teaching performance. During the teaching process, reality learning patterns, experiences, and fusion ceramic product design are required to enhance art design teaching. So, in this research, modern art design has been optimized using virtual reality with a deep learning architecture for craftsmanship, style, ideals, creative aesthetics, cultural ramifications, and inherited designers to create an effective model. The deep learning-assisted gate array algorithm (GAA) is used to optimize the modern art structure in system design. Therefore, this approach reveals some experimental findings that produce better performance benefits than saving time and resources in traditional manual detection systems.

show abstract

“…e layout of the pottery generation and the ceramic auditorium is seen. e ceramic data centre framework classifier is developed [20] for the online pottery region.…”

Section: Introduction To Ceramic Artmentioning

confidence: 99%

Art Design Teaching Based on the Multidata Fusion Algorithm and Virtual Simulation Technology

Liang

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…With an increasing number of low‐power devices deployed for machine‐to‐machine (M2M) applications, 1,2 the need for a new energy efficient distributed computing architecture is increasing. For some applications such as meter reading and smart homes, traditional wide area networks (WANs) are suitable to support their connectivity in a large geographical area 3,4 .…”

Section: Introductionmentioning

confidence: 99%

A 6LoWPAN OPNET simulation model for machine‐to‐machine communications

Chen

Khan

Brown

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

The low‐power short‐range networks have gained prevalence in research fields such as machine‐to‐machine communications and the Internet of things. Given the large number of devices that may exist, the IPv6 over low‐power wireless personal area networks (6LoWPAN) standard is expected to be widely used. Although Contiki, NS‐3, and OMNeT++ have developed the 6LoWPAN model, it is still not available in optimized network engineering tools (OPNET) because it is extremely difficult to interface the built‐in IP module with the customized modules in OPNET. To bridge this gap, we first developed a preliminary 6LoWPAN model and implemented the header compression and header restoration functions to handle the incoming and outgoing packets in OPNET. To further improve the system performance, we also proposed an algorithm that aggregates packets, reduces intranetwork collisions and increases the packet delivery ratio. The model and algorithm in this work are free to download, so researchers from the OPNET community can easily extend this work for their own research in the future.

show abstract