 | 2009 |
|---|
| 13 |       | Rabindra Bista,
Yong-Ki Kim,
Young-Ho Choi,
Jae-Woo Chang:
A New Energy-Balanced Data Aggregation Scheme in Wireless Sensor Networks.
CSE (2) 2009: 558-563 |
| 2008 |
|---|
| 12 |  | Hyunjo Lee,
Yong-Ki Kim,
Youngjin Kim,
Jae-Woo Chang:
High-Availability Cluster Management Tool for Monitoring and Self-Managing of Cluster DBMS.
IKE 2008: 102-107 |
| 2007 |
|---|
| 11 | | Jae-Woo Chang,
Ji Hee Kim,
Yong-Ki Kim:
Design of Overall Architecture Supporting Context-Aware Application Services in Pervasive Computing.
ESA 2007: 216-221 |
| 10 | | Jae-Woo Chang,
Rabindra Bista,
Young-Chang Kim,
Yong-Ki Kim:
Spatio-temporal Similarity Measure Algorithm for Moving Objects on Spatial Networks.
ICCSA (3) 2007: 1165-1178 |
| 9 | | Jae-Woo Chang,
Yong-Ki Kim:
Context Script Language and Processor for Context-Awareness in Ubiquitous Intelligent Environment.
UIC 2007: 829-838 |
| 2006 |
|---|
| 8 | | Jae-Woo Chang,
Yong-Ki Kim,
Sang-Mi Kim,
Young-Chang Kim:
New Query Processing Algorithms for Range and k-NN Search in Spatial Network Databases.
ER (Workshops) 2006: 130-139 |
| 7 | | Jae-Woo Chang,
Yong-Ki Kim:
A New Context Script Language for Developing Context-Aware Application Systems in Ubiquitous Computing.
EUC Workshops 2006: 43-52 |
| 6 | | Jae-Woo Chang,
Yong-Ki Kim:
Materialization-Based Range and k-Nearest Neighbor Query Processing Algorithms.
FQAS 2006: 65-74 |
| 5 | | Jae-Woo Chang,
Yong-Ki Kim:
Design and Implementation of Middleware and Context Server for Context-Awareness.
HPCC 2006: 487-494 |
| 4 | | Jae-Woo Chang,
Yong-Ki Kim,
Young-Jin Kim:
Parallel High-Dimensional Index Structure Using Cell-Based Filtering for Multimedia Data.
ISPA Workshops 2006: 781-790 |
| 3 | | Jae-Woo Chang,
Yong-Ki Kim,
Young-Chang Kim:
Fault-Tolerant Cluster Management Tool for Self-managing of Cluster DBMS.
KES (1) 2006: 1067-1074 |
| 2 | | Jae-Woo Chang,
Yong-Ki Kim:
Context-Aware Application System for Music Playing Services.
KES (3) 2006: 76-83 |
| 2004 |
|---|
| 1 | | Jae-Woo Chang,
Yong-Ki Kim:
An Efficient Clustering Method for High-Dimensional Data Mining.
SBIA 2004: 276-285 |
