研究旨在探索建筑信息模型(Building Information Modeling,BIM)技术在绿色建筑设计中的应用,推动绿色建筑发展。通过分析BIM技术在全过程绿色建筑设计的应用,提出了BIM技术在不同设计阶段的应用策略。BIM技术的应用可以提高设计效率、...研究旨在探索建筑信息模型(Building Information Modeling,BIM)技术在绿色建筑设计中的应用,推动绿色建筑发展。通过分析BIM技术在全过程绿色建筑设计的应用,提出了BIM技术在不同设计阶段的应用策略。BIM技术的应用可以提高设计效率、优化建筑方案,并整合设计流程,对绿色建筑设计起关键作用。研究结果显示,采用BIM技术进行全过程绿色建筑设计显著提高了设计质量。同时,实现团队协同、信息共享,模拟优化能耗、材料选择和系统效率,实现更高水平的节能和环保。展开更多
The procedure of hypertext induced topic search based on a semantic relation model is analyzed, and the reason for the topic drift of HITS algorithm was found to prove that Web pages are projected to a wrong latent se...The procedure of hypertext induced topic search based on a semantic relation model is analyzed, and the reason for the topic drift of HITS algorithm was found to prove that Web pages are projected to a wrong latent semantic basis. A new concept-generalized similarity is introduced and, based on this, a new topic distillation algorithm GSTDA(generalized similarity based topic distillation algorithm) was presented to improve the quality of topic distillation. GSTDA was applied not only to avoid the topic drift, but also to explore relative topics to user query. The experimental results on 10 queries show that GSTDA reduces topic drift rate by 10% to 58% compared to that of HITS(hypertext induced topic search) algorithm, and discovers several relative topics to queries that have multiple meanings.展开更多
文摘研究旨在探索建筑信息模型(Building Information Modeling,BIM)技术在绿色建筑设计中的应用,推动绿色建筑发展。通过分析BIM技术在全过程绿色建筑设计的应用,提出了BIM技术在不同设计阶段的应用策略。BIM技术的应用可以提高设计效率、优化建筑方案,并整合设计流程,对绿色建筑设计起关键作用。研究结果显示,采用BIM技术进行全过程绿色建筑设计显著提高了设计质量。同时,实现团队协同、信息共享,模拟优化能耗、材料选择和系统效率,实现更高水平的节能和环保。
基金Supported by the Shaanxi Provincial Educational Depar tment Special-Purpose Technology and Research of China (06JK229)
文摘The procedure of hypertext induced topic search based on a semantic relation model is analyzed, and the reason for the topic drift of HITS algorithm was found to prove that Web pages are projected to a wrong latent semantic basis. A new concept-generalized similarity is introduced and, based on this, a new topic distillation algorithm GSTDA(generalized similarity based topic distillation algorithm) was presented to improve the quality of topic distillation. GSTDA was applied not only to avoid the topic drift, but also to explore relative topics to user query. The experimental results on 10 queries show that GSTDA reduces topic drift rate by 10% to 58% compared to that of HITS(hypertext induced topic search) algorithm, and discovers several relative topics to queries that have multiple meanings.