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Moon Jeung Joe

dblp:71/4216 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 3 · 2 first-authorArtificial intelligence and machine learning · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Database system architecture and tuning · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Database system architecture and tuning
embedded database
0.112006
LGeDBMS: A Small DBMS for Embedded System with Flash Memory · VLDB 2006
Storage systems › flash and SSD
flash memory
0.012006
LGeDBMS: A Small DBMS for Embedded System with Flash Memory · VLDB 2006
YearPublicationVenuePosition
2006 LGeDBMS: A Small DBMS for Embedded System with Flash Memory
Gye-Jeong Kim, Seung-Cheon Baek, Hyun-Sook Lee, Han-Deok Lee, Moon Jeung Joe
VLDB5
2001 Wavelet transformation-based management of integrated summary data for distributed query processing
Moon Jeung Joe, Kyu-Young Whang, Sang-Wook Kim
Data Knowl. Eng.1
1995 A combined method on the handwritten character recognition
abstract
Character recognition can be classified into on-line and off-line schemes. Although each scheme uses geometric features of characters for recognition, it is difficult to merge the two since they use different data inputs. The on-line character recognition schemes use strokes as input. The off-line recognition schemes use an image of handwritten characters. In this paper, we propose a new method to recognize on-line as well as off-line Korean characters in a single system. As this system converts a character image into an array of strokes, any on-line recognition algorithm is able to recognize both on-line and off-line data.
Moon Jeung Joe, Huen Joo Lee
ICDAR1