Computational Analysis of Variational Inequalities Using Mean Extra-Gradient Approach

Cai, Tingting; Yu, Dongmin; Liu, Huanan; Gao, Fengkai

doi:10.3390/math10132318

Cited by 29 publications

(11 citation statements)

References 35 publications

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“…e sense of presence brought by the corresponding situation mainly drives the viewer's emotions [39][40][41][42][43][44][45]. e shaping and construction of the situation take the viewer's emotions and perspective as the main reference, mobilizing the viewer to generate many associations in the constructed virtual scene.…”

Section: Impact Analysis Of Ai and Mr Technologymentioning

confidence: 99%

Interactive Display of Images in Digital Exhibition Halls under Artificial Intelligence and Mixed Reality Technology

Liu¹,

Zhang

2022

Computational Intelligence and Neuroscience

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The attractiveness of traditional exhibition halls to young people is gradually decreasing. Combining modern digital technology to improve the display effect of the exhibition hall can effectively enhance the effect of cultural publicity. This article introduces the technology of image interaction and mixed reality (MR) to improve the historical and cultural propaganda level of the Shaanxi exhibition hall. The advantages of MR technology in applying digital exhibition halls are theoretically expounded. A theoretical plan for Shaanxi history and culture-related display areas is designed using artificial intelligence combined with MR technology. In addition, the survey respondent’s evaluation of the effect of the new exhibition hall is obtained using a questionnaire survey. The survey results show that 97% of people like the history and culture of Shaanxi but only 13% of the people say they know or know very well about the history and culture of Shaanxi. In addition, 60% of the tourists say they are satisfied with the cultural experience of Shaanxi, and only 27% of the tourists are very satisfied. Also, 96% of tourists are willing to experience Shaanxi’s history and culture through digital exhibition halls, and 93% are willing to participate in cultural experience activities based on MR technology. The survey results prove that tourists are satisfied with the effect of the new exhibition hall. Tourists want to add a distinctive form of cultural experience to the exhibition hall. They are willing to accept digital exhibition halls incorporating MR technology and are very happy to participate in the exhibition method of image interaction. This shows that the use of image interactive display based on MR technology in the layout of the exhibition hall is recognized by people and has strong feasibility. This article has reference significance for the digital upgrade of the exhibition hall and the development of the cultural tourism industry.

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Section: Impact Analysis Of Ai and Mr Technologymentioning

confidence: 99%

Interactive Display of Images in Digital Exhibition Halls under Artificial Intelligence and Mixed Reality Technology

Liu¹,

Zhang

2022

Computational Intelligence and Neuroscience

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“…is advanced cloud model uses the concepts of enlisting and association of resources which give the clients adaptability, scalability, and a pay-per-use model as mentioned in [10][11][12]. While sharing and managing a large number of resources over the Internet, the cloud manager generally uses three cloud security models, namely Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) [13][14][15]. ese security models show exibility, on-interest association provisioning, fundamental asset pooling, multi-inhabitancy empowering, utility compensation as-you-use, etc.…”

Section: Introductionmentioning

confidence: 99%

An Empirical Client Cloud Environment to Secure Data Communication with Alert Protocol

Soni

Srivastava

Bhatt³

et al. 2022

Mathematical Problems in Engineering

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Cloud computing is a technology that provides resources and utility services based on user demand. Due to this demand, efficient cloud security protocols are highly required, especially at the time of data communication for user authentication and data aggregation. The data communication scenarios are majorly affected by the security threats in the cloud computing environment. This article provides a practical approach to developing an efficient and empirical cloud framework in terms of cloud protocol. The framework uses fuzzy c-means (FCM) algorithm to group data, and calculation is done individually or associatively to rank the text data. Uploaded data are passed to a simple additive weighting (SAW) algorithm for ranking and making decision selection. The framework executes in three phases, namely data preprocessing, clustering, and automatic data security with an alert mechanism. The process is completely automated so there is no need of considering the individual files for the processing and the data held will be appropriately correlated with the sharing inter-cloud environment. To inspect security issues, the proposed framework is secured by three different security algorithms. The encryption process is completed by Rivest Cipher 6 (RC6); the substitution process is done by Advanced Encryption Standard (AES); and key generation is done by RC6, AES, and Rivest-Shamir-Adleman (RSA) approaches collectively. Based on the given situations, these standard approaches were automatically applied separately or collectively. Unauthorized access trapping and data deletion mechanism are also provided in the proposed framework. The experimental results with a comparative study depicted the effectiveness of the proposed work.

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“…This effectively overcomes the influence of the light-absorbing medium. The study also achieves the particle size inversion of milk fat in medium of liquid absorption, addresses the typical ill-posed problem in the total light scattering method, and provides a reliable method for determining particle size of milk fat ( Lienert et al, 2001 ; Wang et al, 2021 ; Zhou et al, 2021 ; Cai et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Inversion method of particle size distribution of milk fat based on improved MPGA

Ding

Zhou

et al. 2022

Front. Bioeng. Biotechnol.

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Milk fat’s particle size and distribution not only affect product quality, but also have great impacts on food safety in the economy and society. Based on total light scattering method, this paper has studied the inversion method of particle size distribution under dependent mode condition by combining multi-population genetic algorithm (MPGA) with Tikhonov smooth function. It has minimized the influence from light-absorb medium to improve the inversion accuracy. The approach introduces Tikhonov smooth function and apparent optical parameters to build an objective fitness function and weaken the ill condition of the particle size inversion equation. It also introduces multi-population genetic algorithm to solve the premature convergence of genetic algorithms. The results show that the relative error of the milk fat simulation solution with a nominal diameter is -3.52%, which meets the national standard of ±8% and better than the relative error of -5.01% of the standard genetic algorithm. Thus, the improved MPGA can reconstruct particle size distribution, with a good reliability and stability.

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Computational Analysis of Variational Inequalities Using Mean Extra-Gradient Approach

Cited by 29 publications

References 35 publications

Interactive Display of Images in Digital Exhibition Halls under Artificial Intelligence and Mixed Reality Technology

Interactive Display of Images in Digital Exhibition Halls under Artificial Intelligence and Mixed Reality Technology

An Empirical Client Cloud Environment to Secure Data Communication with Alert Protocol

Inversion method of particle size distribution of milk fat based on improved MPGA

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