DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
Learn More
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11455/51411| 標題: | A Study of Efficient Texture Synthesis Algorithms 有效的貼圖紋理合成演算法之研究 |
作者: | 王宗銘 | 關鍵字: | 資訊科學--軟體;應用研究 | URI: | http://hdl.handle.net/11455/51411 | 其他識別: | NSC92-2213-E005-021 |
| Appears in Collections: | 資訊科學與工程學系所 |
Show full item record
TAIR Related Article
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.