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Search: "[ author: Joo Young Kim ]" (5)
Improved ErtPS Scheduling Algorithm for AMR Speech Codec with CNG Mode in IEEE 802.16e Systems
Hyun Je Woo , Joo Young Kim , Mee Jeong Lee The KIPS Transactions:PartC,
Vol. 16, No. 5, pp. 661-668,
Oct.
2009
10.3745/KIPSTC.2009.16.5.661
10.3745/KIPSTC.2009.16.5.661
Improved ROHC Optimistic Mode for Efficient Utilization of the Resources in Mobile WiMAX
Joo Young Kim , Hyun Je Woo , Mee Jeong Lee , Jeong Min Kwon The KIPS Transactions:PartC,
Vol. 16, No. 1, pp. 57-64,
Feb.
2009
10.3745/KIPSTC.2009.16.1.57
10.3745/KIPSTC.2009.16.1.57
Performance Analysis of ROHC RTP profile for Efficient Utilization of the bandwidth in Mobile WiMAX
Hyun Je Woo , Joo Young Kim , Jeong Min Kwon , Mee Jeong Lee The KIPS Transactions:PartC,
Vol. 15, No. 5, pp. 399-408,
Oct.
2008
10.3745/KIPSTC.2008.15.5.399
10.3745/KIPSTC.2008.15.5.399
Cox Model Improvement Using Residual Blocks in Neural Networks: A Study on the Predictive Model of Cervical Cancer Mortality
Nang Kyeong Lee, Joo Young Kim, Ji Soo Tak, Hyeong Rok Lee, Hyun Ji Jeon, Jee Myung Yang, Seung Won Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 6, pp. 260-268,
Jun.
2024
https://doi.org/10.3745/TKIPS.2024.13.6.260
Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
https://doi.org/10.3745/TKIPS.2024.13.6.260
Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
Design and Implementation of Multi-HILS based Robot Testbed to Support Software Validation of Biomimetic Robots
Hanjin Kim, Kwanhyeok Kim, Beomsu Ha, Joo Young Kim, Sung Jun Shim, Jee Hoon Koo, Won-Tae Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 6, pp. 243-250,
Jun.
2024
https://doi.org/10.3745/TKIPS.2024.13.6.243
Keywords: Biomimetic Robot, M&S, HILS, Robot Testbed
https://doi.org/10.3745/TKIPS.2024.13.6.243
Keywords: Biomimetic Robot, M&S, HILS, Robot Testbed
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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)
- Vol. 12, No. 11 (Nov. 2023)
- Vol. 12, No. 10 (Oct. 2023)
- Vol. 12, No. 9 (Sep. 2023)
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- Vol. 12, No. 3 (Mar. 2023)
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- Vol. 12, No. 1 (Jan. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
- Vol. 11, No. 11 (Nov. 2022)
- Vol. 11, No. 10 (Oct. 2022)
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Vol. 10, 2021
- Vol. 10, No. 12 (Dec. 2021)
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- Vol. 10, No. 10 (Oct. 2021)
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Vol. 9, 2020
- Vol. 9, No. 12 (Dec. 2020)
- Vol. 9, No. 11 (Nov. 2020)
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Vol. 8, 2019
- Vol. 8, No. 12 (Dec. 2019)
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Vol. 7, 2018
- Vol. 7, No. 12 (Dec. 2018)
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Vol. 6, 2017
- Vol. 6, No. 12 (Dec. 2017)
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Vol. 5, 2016
- Vol. 5, No. 12 (Dec. 2016)
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Vol. 4, 2015
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Vol. 3, 2014
- Vol. 3, No. 12 (Dec. 2014)
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Vol. 2, 2013
- Vol. 2, No. 12 (Dec. 2013)
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).