Sustainable Management of Decorative Patterns of Shanghai Shikumen Architectural Houses Based on ROI Optimization

Author:

Sun Zhongping1

Affiliation:

1. 1 School of Urban Design Shanghai Art & Design Academy , Shanghai , , China .

Abstract

Abstract The decorative patterns of Shikumen architectural dwellings in Shanghai are of great investment value, and their cultural benefits can be fully utilized through sustainable operation and management. In this paper, after analyzing the traditional pattern generation method, we combine the semantic generation method with the design of the loss function and network structure of the generative adversarial network and construct the generation algorithm of architectural residential decoration pattern based on semantic perception. The constructed pattern generation algorithm is used to manage the sustainability of architectural residential decoration patterns and optimize the rate of return on the investment of sustainability management through fuzzy theory. The results show that the color similarity, pattern similarity, and organization form similarity are (0.62, 0.91), (0.58,0.89), and (0.59,0.88), respectively, and the return efficiency of the investment in the architectural residential decoration of Shanghai Shikumen architecture before and after the optimization fluctuates between (-0.26, 0.30) and (-0.18, 0.26). The ROI of sustainable business management of decorative patterns in Shanghai Shikumen architectural dwellings in this study can develop stably.

Publisher

Walter de Gruyter GmbH

Reference17 articles.

1. Shao, H., Chen, Y., Yang, Z., Jiang, C., & Hyypp, J. (2020). Feasibility study on hyperspectral lidar for ancient huizhou-style architecture preservation. Remote Sensing.

2. Ardizzone, E., Dindo, H., & Mazzola, G. (2017). A knowledge based architecture for the virtual restoration of ancient photos. Pattern Recognition, 74, 326-339.

3. Kang, G., & Zhang, Y. (2017). 48.comparison of the influence of ancient cosmic patterns on chinese and western ancient architectures. Revista De La Facultad De Ingenieria, 32(15), 272-279.

4. Guo, Y., & Long, L. (2017). Asymmetric village and town ancient architecture style protection based on the historical feature sequential logic. Revista de la Facultad de Ingenieria, 32(10), 840-847.

5. Chen, C. (2017). Research on the protection of cultural heritage in the background of global climate change based on the artificial neural network. Revista de la Facultad de Ingenieria, 32(11), 203-209.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3