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A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion

IEEE Access, 2018
The integration of Internet of Things (IoT) and edge computing is currently a new research hotspot. However, the lack of trust between IoT edge devices has hindered the universal acceptance of IoT edge computing as outsourced computing services. In order
Jie Yuan, Xiaoyong Li
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Facility service balance problem with information feedback mechanism in the virtual–real interaction network

Journal of Safety Science and Resilience
Considering the information interaction in the virtual–real network, this paper introduces a novel three-layer model that explores the integrated influence between virtual and real networks.
Lu Chen, Jianming Zhu, Guoqing Wang
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The mechanism of digital feedback on health information anxiety among older adults: information processing self-efficacy as a mediating variable

Frontiers in Public Health
BackgroundDigital feedback emerges as a significant variable influencing health information anxiety among older adults, and information processing self-efficacy also plays a crucial role in this process.
Yang Zhu, Xin Wang, Xiao Zhang, Yan Li, Yepeng Chen   +4 more
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MaOSSA: A new high-efficiency many-objective salp swarm algorithm with information feedback mechanism for industrial engineering problems

Results in Engineering
The pursuit of convergence in multi-objective optimization usually results in population clustering that produces suboptimal outcomes for both convergence and diversity performance.
Mohammad Aljaidi, Janjhyam Venkata Naga Ramesh, Ajmeera Kiran, Pradeep Jangir, Arpita, Sundaram B. Pandya, Wulfran Fendzi Mbasso, Laith Abualigah, Ali Fayez Alkoradees, Mohammad Khishe   +9 more
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Dynamic Network Representation of Information Diffusion Based on Relationship Strength Theory and Feedback Mechanism [PDF]

Jisuanji gongcheng, 2023
Most of the existing Network Representation Learning (NRL) methods can not fit well with the real world information dissemination network, and can not effectively model the time characteristics and dynamic evolution characteristics of the information ...
PAN Le, LI Bicheng, WAN Wang, ZENG Rongshen
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Super-Resolution Image Reconstruction Algorithm Based on Feedback Mechanism [PDF]

Jisuanji gongcheng, 2022
Although existing super-resolution image reconstruction methods make full use of high-performance deep learning models, they ignore the feedback mechanism that is ubiquitous in the human visual system.This paper proposes a super-resolution image ...
LOU Xinjie, LI Xiaoxin, LIU Zhiyong
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Research on the dynamic spread of information in social networks based on relationship strength theory and feedback mechanism

Frontiers in Physics
Introduction: Studying the main factors and related paths of rumor propagation contributes to the precise governance of rumor information in social networks.
Mengna Zhang, Mengna Zhang, Liming Liu, Yingxu Wang   +3 more
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Exploring the Solution of Bionic Prosthesis Lacking Perceptual Feedback System: Using Invasive and Non-invasive Techniques [PDF]

E3S Web of Conferences, 2021
The bionic prosthesis is a more advanced research direction in the prosthesis, but there are still many shortcomings. One of them is the lack of an effective perceptual feedback system, which included the feedback of position, force, texture, roughness ...
Hong Xiaohan
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A Progressive Single-Image Dehazing Network With Feedback Mechanism

IEEE Access, 2021
In the past decade, deep learning methods, especially convolutional neural networks, have received much attention in applications of single-image dehazing.
Tisong Liang, Zhiwei Li, Yuanhong Ren, Qi Mao, Wuneng Zhou   +4 more
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Multi-focus image fusion framework based on transformer and feedback mechanism

Ain Shams Engineering Journal, 2023
How to efficiently and accurately identify and extract the focused regions in the source image is a difficult problem in the field of multi-focus image fusion. The existing fusion methods suffer from color distortion, loss of detail information, and high
Xuejiao Wang, Zhen Hua, Jinjiang Li
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