Visit the Energy Systems Laboratory Homepage.
dc.creator | Hong, J. | |
dc.creator | Chen, Z. | |
dc.creator | Li, H. | |
dc.creator | Xu, Q. | |
dc.date.accessioned | 2007-05-07T20:50:49Z | |
dc.date.available | 2007-05-07T20:50:49Z | |
dc.date.issued | 2006 | |
dc.identifier.other | ESL-IC-06-11-284 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/5442 | |
dc.description.abstract | This paper presents a Knowledge-oriented Information Visualization (KIV) approach to facilitating the implementation of building rating systems such as the Asian Intelligent Building Index (AIIB) for the post-assessment of Intelligent Buildings (IBs). The KIV approach is introduced by using a prototype of KIV for IB assessment. The KIV model consists of several toolkits, including an IB Casebase for the Applications of Sustainable Technology (called IB-CAST), a web-oriented information visualization toolkit for IB assessment using Microsoft Office (called IB-Radar and IB-Compass), and a Geographical Information System (GIS) toolkit for bridging knowledge (called IB-GIS) in IB assessment, etc. A case study is used to demonstrate how the KIV approach can be applied to support IB assessment. | en |
dc.format.extent | 888897 bytes | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | Energy Systems Laboratory (http://esl.tamu.edu) | |
dc.publisher | Texas A&M University (http://www.tamu.edu) | |
dc.subject | intelligent building | en |
dc.subject | assessment | en |
dc.subject | methodology | en |
dc.subject | model | en |
dc.subject | information visualization | en |
dc.title | An Information Visualization Approach to Intelligent Building Assessment | en |
This item appears in the following Collection(s)
-
ICEBO - International Conference for Enhanced Building Operations
International Conference for Enhanced Building Operations