A Level-based Key Management for both In-Network Processing and Mobility in WSNs. - Kyeong Tae Kim; R. S. Ramakrishna (MASS, 2007)

SAEP: Secure and Accurate and Energy-Efficient Time Synchronization in Wireless Sensor Networks. - Kyeong Tae Kim; Myung Hee Son (ISPDC, 2009)

A Feasibility Study on Crash Avoidance at Four-Way Stop-Sign-Controlled Intersections Using Wireless Sensor Networks. - Do Hyun Kim; Kyoung Ho Choi; Kyeong Tae Kim; Ki-Joune Li (IEICE Trans. Inf. Syst., 2009)

SAEP: Secure, Accurate and Energy-Efficient Time Synchronization Protocol in WSNs. - Kyeong Tae Kim (IEICE Trans. Commun., 2011)

STVC: Secure Traffic-light to Vehicle Communication. - Kyeong Tae Kim (ICUMT, 2012)

VTM-MAC: Vehicle traffic monitoring MAC in WSNs. - Kyeong Tae Kim; Won-Tae Kim (ICCVE, 2013)

Router design for DDS: Architecture and performance evaluation. - Kyu-haeng Lee; Chong-kwon Kim; Kyeong Tae Kim; Won-Tae Kim 001 (BigComp, 2014)

An Energy Efficient Real-Time MAC Protocol. - Kyeong Tae Kim; Jeongnyeo Kim (ICTC, 2018)

Frame-Type-Aware Static Time Slotted Channel Hopping Scheduling Scheme for Large-Scale Smart Metering Networks. - Huiung Park; Haeyong Kim; Kyeong Tae Kim; Seon-Tae Kim; Pyeong Soo Mah (IEEE Access, 2019)

Quantifying neonatal pulmonary mechanics in mechanical ventilation. - Kyeong Tae Kim; Jennifer L. Knopp; Bronwyn Dixon; J. Geoffrey Chase (Biomed. Signal Process. Control., 2019)

Inspiratory respiratory mechanics estimation by using expiratory data for reverse-triggered breathing cycles. - Sarah L. Howe; J. Geoffrey Chase; Daniel P. Redmond; Sophie E. Morton; Kyeong Tae Kim; Christopher G. Pretty; Geoffrey M. Shaw; Merryn H. Tawhai; Thomas Desaive (Comput. Methods Programs Biomed., 2020)

Quantifying patient spontaneous breathing effort using model-based methods. - Kyeong Tae Kim; Jennifer L. Knopp; J. Geoffrey Chase (Biomed. Signal Process. Control., 2021)

Model-based estimation of negative inspiratory driving pressure in patients receiving invasive NAVA mechanical ventilation. - Jennifer L. Knopp; J. Geoffrey Chase; Kyeong Tae Kim; Geoffrey M. Shaw (Comput. Methods Programs Biomed., 2021)

3D-2D deep convolutional neural network (DCNN) Cascade for robust video face identification. - Kyeong Tae Kim; Bumshik Lee; Jae Young Choi (Multim. Tools Appl., 2021)

An IoT Device-trusted Remote Attestation Framework. - Kyeong Tae Kim; Jae-Deok Lim; Jeong-Nyeo Kim (ICACT, 2022)

Quantifying neonatal patient effort using non-invasive model-based methods. - Kyeong Tae Kim; Jennifer L. Knopp; Bronwyn Dixon; J. Geoffrey Chase (Medical Biol. Eng. Comput., 2022)

13.4 A 48GB 16-High 1280GB/s HBM3E DRAM with All-Around Power TSV and a 6-Phase RDQS Scheme for TSV Area Optimization. - Jinhyung Lee; Kyungjun Cho; Chang Kwon Lee; Yeonho Lee 002; Jae-Hyung Park; Su-Hyun Oh; Yucheon Ju; Chunseok Jeong; Ho Sung Cho; Jaeseung Lee; Tae-Sik Yun; Jin Hee Cho; et al. (ISSCC, 2024)

Exploring Effective Zero Trust Architecture for Defense Cybersecurity: A Study. - Youngho Kim; Seongyoung Sohn; Kyeong Tae Kim; Hae Sook Jeon; Sang-Min Lee; Yun-kyung Lee; Jeongnyeo Kim (KSII Trans. Internet Inf. Syst., 2024)

Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification. - A. Yeong Han; Kwang Moo Yi; Kyeong Tae Kim; Jae Young Choi (IEEE Access, 2025)