Preserving the Integrity of Li Yu's Craft Aesthetics using the Digital Information Technology

Shan Liu
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Abstract

Preserving the integrity of ancient aesthetic works has become a greater matter of concern in the modern digital age. As the internet is streaming with data that are collected from multiple sources, it imposes a severe threat to the integrity and security of the original aesthetic of many craft works. This paper proposes a novel framework that attempts to preserve Li Yu's craft aesthetics, which can be explored from his wide range of literary collections. As the author is popular for his excellence in many art forms like gardening, theatre arts, etc, recreation of his work is a major problem of concern. The framework initially pre-processed the corpus to extract keywords, which are then subjected to a semantic vector to find the closely related as well as differing words. Then, these words are subjected to geometric perturbations to impart versatility to the training phase. The text under screening is fed to the classification phase to find whether it is an altered or modified work of Li Yu, thus isolating the author's work from being reproduced, which greatly affects the aesthetics. As a future extension, the work can be trained with different classifiers to develop a defrauding system.
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利用数字信息技术保护李渔工艺美学的完整性
在现代数字时代,保护古代美学作品的完整性已成为一个更值得关注的问题。由于互联网上的数据流是从多个来源收集的,这对许多工艺美术作品原有美学的完整性和安全性构成了严重威胁。本文提出了一个新颖的框架,试图保存李渔的工艺美学,并可从其广泛的文学收藏中进行探索。由于作者在园艺、戏剧艺术等多种艺术形式上的卓越成就广受欢迎,其作品的再现是一个值得关注的重要问题。该框架首先对语料库进行预处理以提取关键词,然后对关键词进行语义向量处理,找出密切相关和不同的词。然后,对这些词进行几何扰动,为训练阶段提供多功能性。被筛选的文本将被送入分类阶段,以确定其是否为李煜的篡改或修改作品,从而避免作者的作品被复制,因为这将极大地影响美感。作为未来的扩展,这项工作可以用不同的分类器进行训练,从而开发出一个欺诈系统。
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