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)
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Browsing by Author Tsai, Hsiao-Ping
Showing results 1 to 4 of 4
| Issue Date | Title | Author(s) | Text |
|---|---|---|---|
| - | Distributed Information Compression for Target Tracking in Cluster-Based Wireless Sensor Networks | Liao, Shi-Kuan; Lai, Kai-Jay; Tsai, Hsiao-Ping; Wen, Chih-Yu; 溫志煜 | |
| - | Exploring Application-Level Semantics for Data Compression | Tsai, Hsiao-Ping; Yang, De-Nian; Chen, Ming-Syan | - |
| - | Group RFM analysis as a novel framework to discover better customer consumption behavior | Chang, Hui-Chu; Tsai, Hsiao-Ping | - |
| - | Mining Group Movement Patterns for Tracking Moving Objects Efficiently | Tsai, Hsiao-Ping; Yang, De-Nian; Chen, Ming-Syan | - |