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Search: "[ author: Kyong I Ku ]" (5)
An Efficient Split Algorithm to Minimize the Overlap between Node Index Spaces in a Multi-dimensional Indexing Scheme M-tree
Sang Hyuk Im , Kyong I Ku , Ki Chang Kim , Yoo Sung Kim The KIPS Transactions:PartD,
Vol. 12, No. 2, pp. 233-246,
Apr.
2005
10.3745/KIPSTD.2005.12.2.233
10.3745/KIPSTD.2005.12.2.233
Extraction and Indexing Representative Melodies Considering Musical Composition Forms for Content-based Music Information Retrievals
Kyong I Ku , Sang Hyuk Lim , Jae Heon Lee , Yoo Sung Kim The KIPS Transactions:PartD,
Vol. 11, No. 3, pp. 495-508,
Jun.
2004
10.3745/KIPSTD.2004.11.3.495
10.3745/KIPSTD.2004.11.3.495
Construction of Theme Melody Index by Transforming Melody to Time-series Data for Content based Music Information Retrieval
Jin Seok Ha , Kyong I Ku , Jae Hyun Park , Yoo Sung Kim The KIPS Transactions:PartD,
Vol. 10, No. 3, pp. 547-558,
Jun.
2003
10.3745/KIPSTD.2003.10.3.547
10.3745/KIPSTD.2003.10.3.547
A Similarity Computation Algorithm Based on the Pitch and Rhythm of Music Melody
Jong Sik Mo, So Young Kim, Kyong I Ku, Chang Ho Han, Yoo Sung Kim The Transactions of the Korea Information Processing Society (1994 ~ 2000),
Vol. 7, No. 12, pp. 3762-3774,
Dec.
2000
10.3745/KIPSTE.2000.7.12.3762
10.3745/KIPSTE.2000.7.12.3762
An Execution Control Algorithm for Mobile Flex Transactions in Mobile Heterogeneous Multidatabase Systems
Kyong I Ku, Yoo Sung Kim The Transactions of the Korea Information Processing Society (1994 ~ 2000),
Vol. 6, No. 11, pp. 2845-2862,
Nov.
1999
10.3745/KIPSTE.1999.6.11.2845
10.3745/KIPSTE.1999.6.11.2845
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
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Vol. 10, 2021
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Vol. 9, 2020
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Vol. 8, 2019
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
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Vol. 6, 2017
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Vol. 5, 2016
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Vol. 4, 2015
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
