Query：
学者姓名：何月明
Refining：
Year
Type
Indexed by
Source
Complex
Former Name
Co-
Language
Clean All
Abstract ：
Ceramic art, deeply rooted in cultural heritage, has long been regarded as a symbol of craftsmanship and historical significance, often commanding substantial prices in the art market. However, with the rise of artificial intelligence (AI) and its ability to generate art that closely resembles human creations, distinguishing between authentic and AI-generated artworks has become a critical challenge. In this research work, deep learning base models including the proposed convolutional neural networks (CNNs) and pre-trained models are applied to identify ceramic arts, distinguishing between human prepared artefacts and AI-generated content (AIGC). There is no benchmark data set available to distinguish between real ceramic and AI-generated, therefore, the dataset has been prepared having two classes: authentic ceramic items (real) and AI-generated. The results obtained the highest accuracy of 98% by using CNN compared to pre-trained models, such as ResNet, VGG and AlexNet models. This study may help to identify the authenticity of digital artefacts in the digital era. © 2025 Inderscience Enterprises Ltd.
Keyword ：
Convolution Convolution Convolutional neural networks Convolutional neural networks Deep neural networks Deep neural networks Historic preservation Historic preservation Intelligent computing Intelligent computing Neural network models Neural network models
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | He, Yueming , Xu, Xinyue , Yu, Xiaobo . Automatic identification of AI-generated ceramic art images using convolutions-based neural networks models [J]. | International Journal of Information and Communication Technology , 2025 , 26 (15) : 1-24 . |
| MLA | He, Yueming 等. "Automatic identification of AI-generated ceramic art images using convolutions-based neural networks models" . | International Journal of Information and Communication Technology 26 . 15 (2025) : 1-24 . |
| APA | He, Yueming , Xu, Xinyue , Yu, Xiaobo . Automatic identification of AI-generated ceramic art images using convolutions-based neural networks models . | International Journal of Information and Communication Technology , 2025 , 26 (15) , 1-24 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The focus of this article is on the effectiveness of using Convolutional Neural Networks (CNN) in intelligent process design systems. Traditional process design methods have some limitations in data processing, generalization ability, computational efficiency, and interpretability. Therefore, this article attempts to introduce a CNN algorithm model to improve the process of pattern recognition and feature extraction. This article also introduces the background and current research results of intelligent process design, and in the experimental section, demonstrates the significant improvements that CNN can bring in process design. Through three specific experiments, it has been confirmed that CNN has significant advantages in processing speed and accuracy compared to traditional methods. It evaluates the performance of CNN in intelligent process design systems based on three experiments. The accuracy evaluation experiment shows that as the training period increases, the accuracy of the model improves from the initial 50% to 100%, which demonstrates the effectiveness of the CNN model. In the efficiency comparison experiment, the CNN algorithm model only takes 2.5 seconds to process the same task, while the traditional method takes 5 seconds. This data conclusion demonstrates the high efficiency of the CNN model. In the final generalization ability experiment, the accuracy of the CNN model reached 80% on dataset A, while it slightly decreased to 65% on dataset B, indicating that the CNN model has good adaptability, but there is still room for improvement. The above experimental results demonstrate the high accuracy, excellent processing efficiency, and good generalization ability of CNN models in intelligent process design, providing strong evidence for their potential in practical process design applications. Future work can focus on further enhancing the generalization ability and interpretability of models to better adapt to complex process design requirements. © 2024 IEEE.
Keyword ：
Convolutional neural networks Convolutional neural networks
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | He, Yueming , Xu, Xinyue . Neural Network Algorithms in Upgrading Intelligent Process Design Systems [C] . 2024 . |
| MLA | He, Yueming 等. "Neural Network Algorithms in Upgrading Intelligent Process Design Systems" . (2024) . |
| APA | He, Yueming , Xu, Xinyue . Neural Network Algorithms in Upgrading Intelligent Process Design Systems . (2024) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
With the growth of high technology, the digitization of art and cultural relics is no longer a problem. At present, ceramic enterprises are gradually evolving from large-scale customization to personalized customization, and the demand for upgrading the intelligent manufacturing industry is increasing. A personalized ceramic pattern generation algorithm is on the verge of emergence. With the theoretical growth of neural networks and the improvement of hardware computing power, machine learning (ML) and deep learning (DL) have achieved remarkable achievements in multiple fields. Image feature extraction technology and automatic generation technology have both received great attention from the academic community. Generative Adversarial Networks (GANs) have promoted research applications in image generation and restoration, text generation, video prediction, and style transfer, demonstrating their enormous potential in image processing. This article designs an ML based algorithm for automated production of ceramic patterns. By using ML technology, useful features are automatically extracted from a large amount of ceramic pattern data, and these features are used to train the model, thereby generating new ceramic patterns. The experimental results show that the algorithm can be well applied to practical cases and effectively achieve automated production of ceramic patterns. © 2024 IEEE.
Keyword ：
Automation Automation Computing power Computing power Data mining Data mining Deep learning Deep learning Engineering education Engineering education Image processing Image processing
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | He, Yueming , Xu, Xinyue . Design of Automatic Production Algorithm for Ceramic Patterns Based on Machine Learning [C] . 2024 : 359-364 . |
| MLA | He, Yueming 等. "Design of Automatic Production Algorithm for Ceramic Patterns Based on Machine Learning" . (2024) : 359-364 . |
| APA | He, Yueming , Xu, Xinyue . Design of Automatic Production Algorithm for Ceramic Patterns Based on Machine Learning . (2024) : 359-364 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
闽南红砖雕既是传统工艺雕刻艺术,是传统民宅的重要装饰之一,又是闽南民族地域文化的有机载体,具有地域特点.在中国高速城镇化背景下,闽南红砖雕工艺已陷入了逐渐衰落的困境,本篇将重点研究红砖雕的历史起源和形成原因,进而突出其地方特色,从而研究闽南红砖雕未来的继承和发展,并研究闽南红砖雕的美学意义,引起更多人来研究这一文化遗产,保护这项传统技艺,促进其产业化设计发展.
Keyword ：
传承 传承 创新设计 创新设计 艺术 艺术 闽南红砖雕 闽南红砖雕
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 何月明 . 闽南红砖雕民间艺术的传承与创新设计研究 [J]. | 雕塑 , 2022 , (5) : 84-85 . |
| MLA | 何月明 . "闽南红砖雕民间艺术的传承与创新设计研究" . | 雕塑 5 (2022) : 84-85 . |
| APA | 何月明 . 闽南红砖雕民间艺术的传承与创新设计研究 . | 雕塑 , 2022 , (5) , 84-85 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Ceramic product design is a method for creating the most functional, practical, and aesthetically pleasing product system out of ceramic materials. It is a conceptual, behavioral, and realization creative process. Design is a creative process, and designers' use of creative thinking is what gives them their power. Ceramic design, as a sort of design, cannot survive without creative thinking in the face of a continually changing market environment and market demands. The unique design of ceramic products is not only a critical component in its qualitative leap but also a requirement for ceramic products to achieve a competitive edge in sales. Artificial intelligence (AI) technology is now extensively employed in many industries, and designing ceramic products using AI technology as support is a new development route for the ceramic industry. This study explores the application of AI in the development of creative thinking in ceramic design, to provide theoretical support for related process optimization. Using AI, designers who play a key role in the development of ceramic product design can properly comprehend material characteristics, fully exploit technological boundaries, and recognize that technology can considerably encourage ceramic product design innovation.
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | He, Yueming . Research on Innovative Thinking of Ceramic Art Design Based on Artificial Intelligence [J]. | MOBILE INFORMATION SYSTEMS , 2022 , 2022 . |
| MLA | He, Yueming . "Research on Innovative Thinking of Ceramic Art Design Based on Artificial Intelligence" . | MOBILE INFORMATION SYSTEMS 2022 (2022) . |
| APA | He, Yueming . Research on Innovative Thinking of Ceramic Art Design Based on Artificial Intelligence . | MOBILE INFORMATION SYSTEMS , 2022 , 2022 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
With the development of high technology, the digitization of works of art and cultural relics is no longer a problem. How to extract enough and accurate information from a large number of complex information for our use is a common problem in practice. With the continuous improvement of digital inkjet technology and color ink quality, many digital products have appeared in the market, such as digital oil painting, digital traditional Chinese painting, digital calligraphy, digital printmaking, digital paper cutting, digital embroidery and other digital art replicas. However, in addition to modeling, pattern is also an important part of art. Chinese traditional patterns have a long history and brilliant achievements. After solving the problem of production automation, leading enterprises in various industries began to seek detection automation and assembly automation based on machine vision. Machine vision technology has become one of the hot spots in the industry. With the rapid development of 3D technology, its application scope is becoming more and more daily, from cultural relic restoration, simulation manufacturing, digital sculpture to ceramic art production, etc. Machine vision should use image recognition technology instead of human eyes to measure and judge, which is more efficient, more accurate and more objective, and can be repeated endlessly, greatly improving the degree of automation of production. This paper focuses on the three-dimensional patterns of ceramic artworks, aiming at high-quality reproduction and design re-creation, deeply studies the collection and image splicing technology of three-dimensional patterns of ceramic artworks, and constructs an image reproduction system, which realizes the whole digital process from three-dimensional pattern shooting, preprocessing, image correction, two-dimensional transformation of three-dimensional images, image registration, image fusion to generation of complete two-dimensional patterns. © 2022 SPIE.
Keyword ：
Arts computing Arts computing Automation Automation Cell proliferation Cell proliferation Computer vision Computer vision Extraction Extraction Image enhancement Image enhancement Image fusion Image fusion Manufacture Manufacture
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | He, Yueming . Design Extraction and Image Replication System Construction of Ceramic Art Based on Machine Vision [C] . 2022 . |
| MLA | He, Yueming . "Design Extraction and Image Replication System Construction of Ceramic Art Based on Machine Vision" . (2022) . |
| APA | He, Yueming . Design Extraction and Image Replication System Construction of Ceramic Art Based on Machine Vision . (2022) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
本文以新媒体视阈下的我国陶瓷产品设计专业教学改革的实际需求为出发点,探索陶瓷产品设计教学改革的新方向.
Keyword ：
教学改革 教学改革 新媒体 新媒体 新方向 新方向 陶瓷产品设计专业 陶瓷产品设计专业
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 何月明 . 新媒体视域下陶瓷产品设计专业教学改革的新方向研究 [J]. | 新美域 , 2022 , (12) : 67-69 . |
| MLA | 何月明 . "新媒体视域下陶瓷产品设计专业教学改革的新方向研究" . | 新美域 12 (2022) : 67-69 . |
| APA | 何月明 . 新媒体视域下陶瓷产品设计专业教学改革的新方向研究 . | 新美域 , 2022 , (12) , 67-69 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
陶瓷,作为中国的一种传统技艺,有着上千年的历史,代表的是中华文化的博大精深,古代有唐朝时期的唐三彩陶器和宋朝时期的哥、汝、官、定、钧,如今有广东石湾公仔和江西景德镇,陶瓷代表中国器皿艺术的发展.循规蹈矩已经不是当下陶瓷文化的风格,大同小异也不再是人们对当下陶瓷雕塑作品的印象.沧海桑田,斗转星移,历经了漫长岁月的洗礼和沉淀,传统陶瓷雕塑在新的历史时期,已经被传统文化赋予了新的内涵,同时也对中国的陶瓷雕塑文化具有一定的传承性.中国传统文化历史悠久,陶瓷雕塑作为传统文化的载体之一,在对传统文化的传承与创新方面有着重要意义[1].
Keyword ：
传承 传承 传统文化 传统文化 创新 创新 陶瓷雕塑 陶瓷雕塑 陶艺文化 陶艺文化
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 何月明 , 兴安 . 陶瓷雕塑对传统文化的传承与创新研究 [J]. | 雕塑 , 2022 , (6) : 78-79 . |
| MLA | 何月明 等. "陶瓷雕塑对传统文化的传承与创新研究" . | 雕塑 6 (2022) : 78-79 . |
| APA | 何月明 , 兴安 . 陶瓷雕塑对传统文化的传承与创新研究 . | 雕塑 , 2022 , (6) , 78-79 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
本实用新型涉及工艺美术绘画装置领域，且公开了一种便于折叠携带的工艺美术画架，包括一号画架，所述一号画架的外表面对称活动连接有卡扣，所述卡扣的内侧活动连接有二号画架，所述二号画架与所述一号画架之间通过所述卡扣活动连接，所述二号画架的上端活动连接有画板，所述画板的内侧后表面固定连接有基板，所述基板的前表面固定连接有电路板，所述电路板的前表面导电连接有热电阻；本实用新型所述的一种便于折叠携带的工艺美术画架，通过电路板、热电阻以及导热板，可对画纸上的颜料进行烘干，便于绘画，比较实用，通过卡扣、一号连接件以及二号连接件，便于折叠携带，而且在易于折叠携带的同时还便于调节高度，更加实用。
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 何月明 . 一种便于折叠携带的工艺美术画架 : CN202120783824.6[P]. | 2021-04-16 . |
| MLA | 何月明 . "一种便于折叠携带的工艺美术画架" : CN202120783824.6. | 2021-04-16 . |
| APA | 何月明 . 一种便于折叠携带的工艺美术画架 : CN202120783824.6. | 2021-04-16 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
本实用新型涉及陶艺制作技术领域，且公开了一种用于陶艺制作的便捷吸水装置，包括底座，所述底座的上表面固定连接有支撑杆，所述支撑杆的顶端套设有橡胶套，所述橡胶套的顶部固定连接有螺纹套，所述螺纹套的内部螺纹连接有螺纹杆，所述螺纹杆的右端固定连接有转动轮，所述螺纹杆的外侧壁转动连接有转动套，所述转动套的前表面固定连接有限位套，所述限位套的前表面螺纹连接有限位螺栓；本实用新型通过设置的针筒、活塞、推杆和针头组成的抽水装置，方便抽取毛坯内部的水，通过设置的底座、支撑杆和螺纹杆等组成的支撑架方便进行支撑，避免了手持抽水，容易抖动，对毛坯造成损坏的问题。
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 何月明 . 一种用于陶艺制作的便捷吸水装置 : CN202120773351.1[P]. | 2021-04-15 . |
| MLA | 何月明 . "一种用于陶艺制作的便捷吸水装置" : CN202120773351.1. | 2021-04-15 . |
| APA | 何月明 . 一种用于陶艺制作的便捷吸水装置 : CN202120773351.1. | 2021-04-15 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
