Scientific analysis on the Han bronze wares unearthed from Xiangyang, Hubei Province, China

Li, Qiang; Wei, Guofeng; Gao, Shunli; Wang, Wei; Liu, Jiangsheng; Wu, Xiaoping

doi:10.1007/s12520-023-01804-6

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…Firstly, the diverse array of patterns on SCB, including animals, geometric designs, and depictions of human activities, each with multiple subcategories, presents a highly challenging task for pattern classification and recognition. Traditional image processing techniques and rule-based methods often struggle to handle this complexity effectively [8]. Secondly, acquiring a substantial amount of SCB image data and accurately annotating it is a monumental challenge.…”

Section: Introductionmentioning

confidence: 99%

A framework of evolutionary optimized convolutional neural network for classification of shang and chow dynasties bronze decorative patterns

Qi,

He,

Chen

et al. 2024

PLoS ONE

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As a UNESCO World Cultural Heritage, the aesthetic value of bronze artifacts from the Shang and Chow Dynasties has had a profound influence on Chinese traditional culture and art. To facilitate the digital preservation and protection of these Shang and Chow bronze artifacts (SCB), it becomes imperative to categorize their decorative patterns. Therefore, a SCB pattern classification method of differential evolution called Shang and Chow Bronze Convolutional Neural Network (SCB-CNN) is proposed. Firstly, the original bronze decorative patterns of Shang and Chow dynasties are collected, and the samples are expanded through image augmentation technology to form a training dataset. Secondly, based on the classical convolutional neural network structure, the recognition and classification of bronze patterns are implemented by adjusting the network parameters. Then, the initial parameters of the convolutional neural network are optimized by differential evolution algorithm, and the optimized SCB-CNN is simulated. Finally, comparative experiments were conducted between the optimized SCB-CNN, the unoptimized model, VGG-Net, and GoogleNet. The experimental results indicate that the optimized SCB-CNN significantly reduces training time while maintaining fast prediction speed, convergence speed, and high accuracy. This study provides new insights for the inheritance and innovation research of SCB patterns.

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Section: Introductionmentioning

confidence: 99%

A framework of evolutionary optimized convolutional neural network for classification of shang and chow dynasties bronze decorative patterns

Qi,

He,

Chen

et al. 2024

PLoS ONE

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Exploring circulation dynamics in Han Dynasty China: insights from isotopic analysis of lead glazed pottery

Wang,

De Ceuster,

Eremin

et al. 2024

Archaeol Anthropol Sci

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This study investigates lead provenance and circulation patterns in Han Dynasty (202BC-220AD) China through the analysis of lead glazed pottery. Four objects were studied using a combination of typological study, elemental chemistry and lead isotope ratio analysis. The results for each object were compared with databases of ‘lead mining districts’ (lead deposits) and ‘lead usage districts’ (lead-containing artifacts unearthed in different spatial and temporal ranges) to assess the lead sources used for each sample and offers a spatial-temporal range of the use of these lead resources. Three distinct groups of lead and their possible circulating spatial-temporal scales are identified across six samples in this study. A possible change in lead supply networks between the Western Han Dynasty (202BC-9AD) and the Eastern Han Dynasty (25AD-220AD) is proposed. This study also highlights the probable changes in the movement of lead resources from the Western Han Dynasty to the Tang Dynasty (618AD-690AD), suggesting improvements in long-distance transport capabilities, and the development of economic divisions and exchange connections in ancient Chinese society. Our findings contribute to a deeper understanding of the economic and political dynamics during the Han Dynasty and emphasize the significance of lead isotope analysis of glazed pottery in exploring resource movement.

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Lead isotopes and elemental composition of bronzes excavated from Xiajiang area of Chongqing, China using MC-ICP-MS and SEM-EDS

Li,

Wei,

Chen

et al. 2024

Journal of Archaeological Science: Reports

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Scientific analysis on the Han bronze wares unearthed from Xiangyang, Hubei Province, China

Cited by 4 publications

References 14 publications

A framework of evolutionary optimized convolutional neural network for classification of shang and chow dynasties bronze decorative patterns

A framework of evolutionary optimized convolutional neural network for classification of shang and chow dynasties bronze decorative patterns

Exploring circulation dynamics in Han Dynasty China: insights from isotopic analysis of lead glazed pottery

Lead isotopes and elemental composition of bronzes excavated from Xiajiang area of Chongqing, China using MC-ICP-MS and SEM-EDS

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