| Title | Application of Attention Model Hybrid Guiding based on Artificial Intelligence in the Course of Intelligent Architecture History |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhang, Wenrui |
| Conference Name | 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) |
| Date Published | Dec. 2020 |
| Publisher | IEEE |
| ISBN Number | 978-1-7281-7089-3 |
| Keywords | artificial intelligence, Attention Model, Buildings, compositionality, Computational modeling, data mining, Data models, Education, energy consumption, intelligent architecture, intelligent data, Monitoring, pubcrawl, resilience, Resiliency, Scalability, security, smart cities, visual saliency |
| Abstract | Application of the attention model hybrid building based on the artificial intelligence in the course of the intelligent architecture history is studied in this article. A Hadoop distributed architecture using big data processing technology which combines basic building information with the building energy consumption data for the data mining research methods, and conduct a preliminary design of a Hadoop-based public building energy consumption data mining system. The principles of the proposed model were summarized. At first, the intelligent firewall processes the decision data faster, when the harmful information invades. The intelligent firewall can monitor and also intercept the harmful information in a timelier manner. Secondly, develop a problem data processing plan, delete and identify different types of problem data, and supplement the deleted problem data according to the rules obtained by data mining. The experimental results have reflected the efficiency of the proposed model. |
| URL | https://ieeexplore.ieee.org/document/9316091 |
| DOI | 10.1109/ICISS49785.2020.9316091 |
| Citation Key | zhang_application_2020 |
Application of Attention Model Hybrid Guiding based on Artificial Intelligence in the Course of Intelligent Architecture History