Multiconstraint Fuzzy Prediction Analysis Improved the Algorithm in Internet of Things

Deng, Xiaoya

doi:10.1155/2021/5499173

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…e Internet of ings industry has been integrated into every aspect of social life [13]: it can be mainly divided into comprehensive application field, management service field, network construction field, and induction recognition field [14]. (1) In terms of comprehensive application, the fields of comprehensive application can be mainly divided into service industry and manufacturing industry [15].…”

Section: Basic Eory Of Internet Of Ingsmentioning

confidence: 99%

Implementation of Intelligent Decision Model of Traditional Hanfu 3D Design Based on Internet of Things

Wang

2022

Mathematical Problems in Engineering

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In view of the problems existing in the design and application of traditional Hanfu, in order to better promote the application prospect of the Internet of Things in traditional Hanfu, the adaptive estimation model is adopted to analyze the relevant algorithms. Based on the Internet of Things theory, the optimized intelligent decision model is obtained, and the relevant parameters of the model are modified so as to obtain the application of traditional Hanfu in 3D simulation design based on the Internet of Things theory. Finally, the optimized model is used to predict and analyze the design and application of traditional Hanfu. The results show that the value of the Internet of Things in 2021 is 880, an increase of about 8.6 times compared with 102 in 2011, indicating that the industry shows a strong growth trend. In addition, the growth rate of the Internet of Things from 2018 to 2021 is low, indicating that the output value of the Internet of Things in this stage is relatively stable, and it also reflects from the side that the Internet of Things has entered a stable growth period. With the increase in the number of iterations, the corresponding curves of the two original trust degrees show little change, and the original trust degree curves are mainly divided into the stage of slow rise and the stage of steady increase. The influence of the optimization model on the willingness to trust is obvious, showing varying degrees of increase. Different calculation methods describe the test data differently. The mathematical estimation method shows an approximate linear trend. The result estimation method shows the change in the quadratic function. The key decision rules have the characteristic of subsection. Data method has strong fluctuation in the early stage. Objective function method can better describe the characteristics of traditional Hanfu. This study realizes the design and application of traditional Hanfu in the field of 3D simulation based on the Internet of Things theory so as to provide a theoretical basis for the application and research of the Internet of Things in other fields.

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Section: Basic Eory Of Internet Of Ingsmentioning

confidence: 99%

Implementation of Intelligent Decision Model of Traditional Hanfu 3D Design Based on Internet of Things

Wang

2022

Mathematical Problems in Engineering

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Research on Authentication Method for Interface Access Security of Communication Equipment in High Coverage Internet of Things

Zhang,

Ling,

Luo

2023

Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security

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Face recognition of remote monitoring under the Ipv6 protocol technology of Internet of Things architecture

2023

Journal of Intelligent Systems

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With the advent of the Internet of Things (IoT) era, the application of intelligent devices in the network is becoming more and more extensive, and the monitoring technology is gradually developing towards the direction of intelligence and digitization. As a hot topic in the field of computer vision, face recognition faces problems such as low level of intelligence and long processing time. Therefore, under the technical support of the IoTs, the research uses internet protocol cameras to collect face information, improves the principal component analysis (PCA), poses a PLV algorithm, and then applies it to the face recognition system for remote monitoring. The outcomes demonstrate that in the Olivetti Research Laboratory face database, the accuracy of PLV is relatively stable, and the highest and lowest are 98 and 94%, respectively. In Yale testing, the accuracy of this algorithm is 12% higher than that of PCA algorithm; In the database of Georgia Institute of Technology (GT), the PLV algorithm requires a time range of 0.2–0.3 seconds and has high operational efficiency. In the selected remote monitoring face database, the accuracy of the method is stable at more than 90%, with the highest being 98%, indicating that it can effectively improve the accuracy of face recognition and provide a reference technical means for further optimization of the remote monitoring system.

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Multiconstraint Fuzzy Prediction Analysis Improved the Algorithm in Internet of Things

Cited by 4 publications

References 8 publications

Implementation of Intelligent Decision Model of Traditional Hanfu 3D Design Based on Internet of Things

Implementation of Intelligent Decision Model of Traditional Hanfu 3D Design Based on Internet of Things

Research on Authentication Method for Interface Access Security of Communication Equipment in High Coverage Internet of Things

Face recognition of remote monitoring under the Ipv6 protocol technology of Internet of Things architecture

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