The use of interactive data visualisation technology in cultural digital heritage display using edge computing

Zhao, Xinjie

doi:10.1504/ijguc.2022.124396

Cited by 4 publications

(3 citation statements)

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“…However, challenges still need to be addressed regarding how to optimize the visual design of digital displays. Past research has focused on the broad application of virtual reality technology in the field of digital displays (Zhao, 2022). This work includes the use of virtual reality (VR) to create immersive digital exhibitions, interactive presentations, and design solutions based on virtual environments (Guo et al, 2023).…”

Section: Related Workmentioning

confidence: 99%

Visual Design of Digital Display Based on Virtual Reality Technology with Improved SVM Algorithm

Zuo

2024

ICST Transactions on Scalable Information Systems

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NTRODUCTION: With the rapid development of virtual reality (VR) technology, digital displays have become increasingly important in various fields. This study aims to improve the application of virtual reality technology in the visual design of digital displays by improving the support vector machine (SVM) algorithm. The visual design of digital displays is crucial for attracting users, enhancing experience and conveying information, so an accurate and reliable algorithm is needed to support relevant decisions. OBJECTIVES: The purpose of this study is to improve the SVM algorithm to more accurately identify features related to the visual design of digital displays. By exploiting the nonlinear mapping and parameter optimization of the SVM algorithm, it aims to improve the performance of the model so that it can better adapt to complex visual design scenarios. METHODS: In the process of achieving the objective, multimedia data related to digital displays, including images and videos, were first collected. Through feature engineering, features closely related to visual design were selected, and deep learning techniques were applied to extract higher-level feature representations. Subsequently, the SVM algorithm was improved to use the kernel function for nonlinear mapping, and the penalty parameters and the parameters of the kernel function were adjusted. Cross-validation was used in the training and testing phases of the model to ensure its generalization performance. RESULTS: The improved SVM algorithm demonstrated higher accuracy, recall and precision compared to the traditional method by evaluating it on the test set. This suggests that the model is able to capture visual design features in digital displays more accurately and provide more reliable support for relevant decisions. CONCLUSION: This study demonstrates that by improving the SVM algorithm, more accurate visual design can be achieved in digital displays of virtual reality technology. This improvement provides reliable algorithmic support for the design of digital displays and provides a more prosperous, immersive experience for users. Future research can further optimize the algorithm and iterate with user feedback to continuously improve the visual design of digital displays in virtual reality environments.

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Section: Related Workmentioning

confidence: 99%

Visual Design of Digital Display Based on Virtual Reality Technology with Improved SVM Algorithm

Zuo

2024

ICST Transactions on Scalable Information Systems

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“…Lead barium glass with weathering Where X.0 denotes the unweathered point, X.1 and X.2 denote the partial one and two, and X.9 denotes the severe weathering point. The statistical values of the 14 indicators before and after weathering of the two types of glass are derived according to the question [6,7].…”

Section: Modelling and Solvingmentioning

confidence: 99%

Subclassification of Chemical Composition of Glass Based on Principal Component Analysis and K-Means Clustering

Xie

2024

HSET

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Accurately carrying out the subclassification of the chemical composition of glass products is of great significance for the compositional analysis and identification of archaeological artefact samples. Firstly, this study collected the relevant data of glass composition and divided it into two groups: high potassium glass and lead-barium glass. Combined with the controlled variable method, the analysis concluded that the weathering condition of the surface of high-potassium glass artifacts has a great correlation with the decoration, while the weathering condition of the lead-barium glass artifacts has no correlation with the decoration and colour. The artefacts were divided into four categories according to the glass type and weathering condition, resulting in a law indicating the effect of weathering on chemical composition. Thus, the weathering point is predicted inversely. Then, this paper carries out a significance analysis of the various components of the two types of glass, respectively, and obtains that the F-values of silica, potassium oxide, and barium oxide are 38.28, 30.31, and 26.99, respectively, which are the most significant. Secondly, using the comprehensive determination model, the principal component analysis method was firstly adopted to obtain the greatest influence of CaO on the overall variance. Then, K-means clustering method was used, and through many iterations, it was finally concluded that: for high potassium glass, according to whether the CaO content is greater than 4 as the subclass division method; for lead-barium glass, according to whether the CaO content is greater than 3 as the subclass division method, and listed all the samples of the subclass division method, and finally verified the reasonableness of the subclass division method and the results, and verify that the model has good sensitivity.

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“…Scholars proposed DL-based ICH digitization methods, such as DL-based audio and video processing [ 15 , 16 ]. These methods can better preserve and inherit ICH and improve its efficiency [ 17 ]. Additionally, the DL technology-based protection and inheritance research of ICH also included the construction of a knowledge graph and intelligent recommendation of ICH [ 18 , 19 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Application interface design of Chongqing intangible cultural heritage based on deep learning

Liu,

Cheng,

2023

Heliyon

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The use of interactive data visualisation technology in cultural digital heritage display using edge computing

Cited by 4 publications

References 0 publications

Visual Design of Digital Display Based on Virtual Reality Technology with Improved SVM Algorithm

Visual Design of Digital Display Based on Virtual Reality Technology with Improved SVM Algorithm

Subclassification of Chemical Composition of Glass Based on Principal Component Analysis and K-Means Clustering

Application interface design of Chongqing intangible cultural heritage based on deep learning

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