Investigating the Surface Damage to Fuzhou’s Ancient Houses (Gu-Cuo) Using a Non-Destructive Testing Method Constructed via Machine Learning DOI Open Access

Lei Zhang,

Yile Chen, Liang Zheng

et al.

Coatings, Journal Year: 2024, Volume and Issue: 14(11), P. 1466 - 1466

Published: Nov. 18, 2024

As an important part of traditional Chinese architecture, Fuzhou’s ancient houses have unique cultural and historical value. However, over time, environmental factors such as efflorescence plant growth caused surface damage to their gray brick walls, leading a decline in the quality buildings’ structure even posing threat safety. Traditional detection methods mainly rely on manual labor, which is inefficient consumes lot human resources. In addition, non-destructive methods, infrared imaging laser scanning, often face difficulty accurately identifying specific types damage, growth, bricks are easily hampered by diverse features. This study uses YOLOv8 machine learning model for automated two common walls houses: growth. We establish efficient through dataset collection annotation, experimental parameter optimization, evaluation, analysis. The research results reveal following. (1) Reasonable hyperparameter settings model-assisted annotation significantly improve accuracy stability. (2) model’s average precision (AP) improved from 0.30 0.90, demonstrating good robustness detecting complex backgrounds high-resolution real-life images. F1 value efficiency (classification performance index) 0.22 0.77. (3) ability recognize details under conditions enhanced, its cope with environments. (4) simplified data enhancement strategy effectively reduces feature extraction interference enhances adaptability different

Language: Английский

Study on the spatiotemporal distribution patterns and influencing factors of cultural heritage: a case study of Fujian Province DOI Creative Commons
Junjie Fu,

Huasong Mao

Heritage Science, Journal Year: 2024, Volume and Issue: 12(1)

Published: Sept. 11, 2024

Language: Английский

Citations

7
Practical Research on Virtual Reality and Augmented Reality Technology in Min Cultural Heritage Digital IP Character Design Innovation DOI Open Access
Honglin Li,

Jiankai Weng

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract With the development of virtual reality (VR) technology and augmented (AR), communication media expression culture have been further expanded. In this paper, VR AR technologies are applied to digital IP character design Min cultural heritage, focusing on image generation action recognition processes in process. The LAFITE model is used generate after pose representation character, multi-class support vector mechanism construct model. tests proved that FID IS produced by superior those other traditional models 30% 316% 6% 48% respectively. output images heritage characters also better quality. MSVM exhibits a high rate for various actions characters, with each index value exceeding 93%, thereby facilitating effective interaction enrichment characters. proposed study can promote innovative enhance creative interactive forms culture.

Language: Английский

Citations

0
Spatial evolution of traditional waterside settlements south of the Yangtze River and the distribution of settlement heritage: evidence from the Nanxi River Basin DOI Creative Commons
Yuhao Huang,

Yingying Huang,

Yile Chen

et al.

Published: March 4, 2025

Language: Английский

Citations

0
Spatiotemporal evolution and human-environment relationships of early cultural sites from the Longshan to Xia-Shang periods in Henan Province, China DOI Creative Commons
Mingcan Gao, Qing Bai,

Hongyi Lyu

et al.

Published: March 12, 2025

Language: Английский

Citations

0
The characteristics of spatial and temporal distribution and influencing factors of intangible cultural heritage in Northwestern China DOI Creative Commons
Cheng Cai, Lili Pu

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 22, 2025

Intangible Cultural Heritage (ICH) is the essence of living culture. The sustainable development it a hot spot international concern, focusing on protection originality and authenticity. This study utilizes spatial analysis Geodetector methods to explore typological structure, temporal distribution characteristics ICH its influencing factors in Northwestern China. results indicate following: (1) Between 2006 2023, there downward trend number declarations most provinces types ICH. (2) northwest region has obvious clustering characteristics, pattern evolved from "single point with two nuclei" "multiple points nuclei", showing high-density core areas five sub-high-density areas. (3) present influenced by combination factors. Socio-economic humanistic have greater impact than physical geography By leveraging advanced tools interdisciplinary insights, this not only enriches theoretical understanding ICH's but also provides replicable methodological framework for similar research globally. findings offer valuable insights policymakers stakeholders, contributing preservation worldwide.

Language: Английский

Citations

0
Study on the International Promotion Path of Fujian’s Intercultural Communication Strategy under the Belt and Road Framework Based on Big Data DOI Open Access
Yan Zhuang, Ruiqian Su

Applied Mathematics and Nonlinear Sciences, Journal Year: 2025, Volume and Issue: 10(1)

Published: Jan. 1, 2025

Abstract In order to respond the call of Belt and Road policy, Fujian Province actively engages in intercultural communication promotes its strategy internationally. The study constructs a DEMATEL-ISM model deeply investigate influencing factors international promotion Fujian’s achieve foreign exchange dissemination culture. Firstly, comprehensive impact matrix is constructed using DEMATEL, DEMATEL indicators each factor are measured. Then, reachability ISM divide at different levels. Finally, for proposed. Among influential strategy, X11 (talent cultivation), X12 (non-genetic inheritance bearers), X10 (work supervision) have highest degree centrality, which important affecting strategy. cause X1 (policy support), X2 (financial input), X3 (implementation efforts), X4 (resource allocation), X5 (business development), X7 (promotion strategy), X8 (communication media), X15 (international environment). outcome include X6 (cultural dissemination), X9 (qualification management), supervision), (non-geneticists), X13 (technicians), X14 (interpreters). multilayer recursive explanatory structure model, deep causal factors, X3~X10 transition X11~X14 belong surface factors.

Language: Английский

Citations

0
Investigating the Surface Damage to Fuzhou’s Ancient Houses (Gu-Cuo) Using a Non-Destructive Testing Method Constructed via Machine Learning DOI Open Access

Lei Zhang,

Yile Chen, Liang Zheng

et al.

Coatings, Journal Year: 2024, Volume and Issue: 14(11), P. 1466 - 1466

Published: Nov. 18, 2024

As an important part of traditional Chinese architecture, Fuzhou’s ancient houses have unique cultural and historical value. However, over time, environmental factors such as efflorescence plant growth caused surface damage to their gray brick walls, leading a decline in the quality buildings’ structure even posing threat safety. Traditional detection methods mainly rely on manual labor, which is inefficient consumes lot human resources. In addition, non-destructive methods, infrared imaging laser scanning, often face difficulty accurately identifying specific types damage, growth, bricks are easily hampered by diverse features. This study uses YOLOv8 machine learning model for automated two common walls houses: growth. We establish efficient through dataset collection annotation, experimental parameter optimization, evaluation, analysis. The research results reveal following. (1) Reasonable hyperparameter settings model-assisted annotation significantly improve accuracy stability. (2) model’s average precision (AP) improved from 0.30 0.90, demonstrating good robustness detecting complex backgrounds high-resolution real-life images. F1 value efficiency (classification performance index) 0.22 0.77. (3) ability recognize details under conditions enhanced, its cope with environments. (4) simplified data enhancement strategy effectively reduces feature extraction interference enhances adaptability different

Language: Английский

Citations

0