The effect of QoS and QoE requirements for designing task processing controller based on fuzzy logic on IoT environments

Yang, Zhengqiang; Zhang, Yanling; Tian, Junwei

doi:10.1007/s10586-022-03586-3

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…By adding the regularization term shown in Formulas (3) – (6) to the initial CNN data-driven model, a general CNN learning framework based on the joint probability distribution adaptation algorithm is obtained. The learning objectives are Yang, Zhang & Tian (2023) :…”

Section: Fundamentals Of Research Theorymentioning

confidence: 99%

Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer learning

Yao

2024

PeerJ Computer Science

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In modern society, the demand for environmental facilities is increasing, and how to effectively design and plan environmental facilities has become an urgent issue. However, traditional design methods often consider only certain requirements and perspectives, resulting in design results deviating from the expectations of actual users. In this study, first, perceptual fuzzy decision-making and design transfer learning were selected as methods. Second, by applying multiple perspectives to environmental facility design methods, these two methods were combined, and a new joint algorithm was proposed. Third, when designing environmental facilities, a joint processing framework was constructed considering the impact of human factors, environmental parameters, and cultural value parameters on the design results. Last, the proposed joint algorithm was validated for functionality and satisfaction. The experimental results of this article indicate that in temperature control design, the accuracy of this research model is 17.7–19.6% greater than that of traditional centralized algorithms. In terms of lighting design, the model results of this study are good, with an increase of 16.7–20.2%. This method comprehensively considers the various dimensional requirements of environmental facilities and has good migration performance. In future studies, we will further investigate the applicability of this method in different scenarios and applications to promote the further development of environmental design.

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Section: Fundamentals Of Research Theorymentioning

confidence: 99%

Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer learning

Yao

2024

PeerJ Computer Science

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Prediction for Surface Subsidence of Shield Construction in Water-Rich Sand Egg Stratum Based on Edge Intelligence

Gao

Liu

et al. 2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Big Data-Driven Intelligent Analysis for Art Design Schemes Based on Grey Correlation

Huang,

Tao

2023

IEEE Access

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The effect of QoS and QoE requirements for designing task processing controller based on fuzzy logic on IoT environments

Cited by 3 publications

References 23 publications

Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer learning

Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer learning

Prediction for Surface Subsidence of Shield Construction in Water-Rich Sand Egg Stratum Based on Edge Intelligence

Big Data-Driven Intelligent Analysis for Art Design Schemes Based on Grey Correlation

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