Yan'an University, Yan'an, Shanxi 716000, China.
J Environ Public Health. 2022 Sep 12;2022:4874748. doi: 10.1155/2022/4874748. eCollection 2022.
With the rapid progress of economy and globalization, the characteristic culture of universities is inevitably eroded by the strong mainstream culture from outside. The best way to maintain culture is to turn it into goods. Productization can make culture vivid and vivid and circulate in use. Universities are the carrier of education and the progress of excellent culture. Campus culture refers to all tangible and intangible objective existence created artificially and formed for a long time in a specific school environment, which can deeply reflect the characteristics of the school. This article proposes an optimized design scheme for the progress and emotional expression research of campus cultural innovative goods in universities. It constructs the graphics recognition of campus cultural goods through the data mining system and then focuses on the problem of graphics recognition based on DL (deep learning). An enhanced DL model and arithmetic are proposed to enhance the accuracy and efficiency of graphics recognition. Finally, the simulation test and analysis are carried out. The simulation results show that the proposed arithmetic has certain accuracy, which is 10.23% higher than the traditional DL arithmetic. Campus culture can also play a powerful role in emotional edification and personality shaping for teachers, students, and campus workers. Excellent cultural and innovative goods can inherit the history, culture, and spirit of universities and can directly reflect the cultural heritage, characteristics, and graphics of universities. In addition to promoting the precipitation and inheritance of the long history and culture of universities and the spirit of the times, they can also strengthen the cultural exchange and spiritual communication among college level, alumni, teachers, and students, and people from all walks of life in universities, so as to actively promote the cultural and spiritual construction of universities.
随着经济和全球化的快速发展,大学的特色文化不可避免地受到来自外部的强势主流文化的侵蚀。保护文化的最佳方式是将其转化为商品。产品化可以使文化生动鲜活,并在使用中流通。大学是教育和优秀文化进步的载体。校园文化是指在特定的学校环境中,经过长期的人工创造而形成的一切有形和无形的客观存在,它能够深刻地反映学校的特点。本文提出了一种针对高校校园文化创新产品的进步和情感表达研究的优化设计方案。通过数据挖掘系统构建校园文化产品的图形识别,然后重点研究基于深度学习(DL)的图形识别问题。提出了一种增强的 DL 模型和算法,以提高图形识别的准确性和效率。最后进行了仿真测试和分析。仿真结果表明,所提出的算法具有一定的准确性,比传统的 DL 算法高出 10.23%。校园文化也可以对教师、学生和校园工作者产生强大的情感熏陶和个性塑造作用。优秀的文化和创新产品可以继承大学的历史、文化和精神,直接反映大学的文化传承、特色和图形。除了促进大学悠久历史文化和时代精神的沉淀和传承外,还可以加强高校师生、校友、教师、学生以及社会各界人士之间的文化交流和精神沟通,积极推动高校的文化和精神建设。