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GENERAL QUALITY RESEARCH
A Study on Improvement of Training Data Quality Management for AI-based Intelligent Naval Combat Management System
Purpose: The purpose of this study was to suggest the metrics that manage the quality of train datasets for artificial intelligence in order to support quality management activities of intelligent naval combat management system. Furthermore, the study demonstrates how enhancing ...
GENERAL QUALITY RESEARCH
Design of Regulatory Function for Optimizing Consensus Quality in Public Blockchain with Dynamic Committees
Purpose: The purpose of this study was to design a regulation mechanism that maintains fair participation among nodes while preventing excessive influence from major nodes, thereby ensuring a stable and decentralized consensus process. Methods: To achieve this goal, we propose ...
GENERAL QUALITY RESEARCH
A Methodology for Quality Indicator Factors and Levels Using AHP and Fuzzy Theory in an Aviation System
Purpose: The purpose of this study is to identify quality indicator factors and their levels for the effective implementation of quality assurance procedures in the defense sector and to propose a systematic methodology for their evaluation. As a preliminary study, the research ...
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Published online
54(1); March 31, 2026
Volume 53(4); December 2025
Volume 53(3); September 2025
Volume 53(2); June 2025
Volume 53(1); March 2025
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General Quality Researches
1 A Study on Improvement of Training Data Quality Management for AI-based Intelligent Naval Combat Management System
Hyeon Mo Kim, Won Seok Jang, Ji Seok Yoon, Ju Mi Park, Woo Hyeon Moon, Seo Ho Lee, Hyoung Jo Huh
J Korean Soc Qual Manag. 2026;54(1):1-27.   Published online March 31, 2026
DOI: https://doi.org/10.7469/JKSQM.2026.54.1.1
                        
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29 Design of Regulatory Function for Optimizing Consensus Quality in Public Blockchain with Dynamic Committees
Jaeyoung Lee, Jintae Oh, Jin Young Choi
J Korean Soc Qual Manag. 2026;54(1):29-41.   Published online March 31, 2026
DOI: https://doi.org/10.7469/JKSQM.2026.54.1.29
                        
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43 A Methodology for Quality Indicator Factors and Levels Using AHP and Fuzzy Theory in an Aviation System
Seong Hyeon Na, You Seok Kim, Seong Jin Jo
J Korean Soc Qual Manag. 2026;54(1):43-59.   Published online March 31, 2026
DOI: https://doi.org/10.7469/JKSQM.2026.54.1.43
                        
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61 Responsible AI-Driven FemTech: Integrating ESG, SDG, and Quality-of-Use in Non-Invasive Menstrual Diagnostics
HeyMin HWANG, Kang Hee KIM
J Korean Soc Qual Manag. 2026;54(1):61-82.   Published online March 31, 2026
DOI: https://doi.org/10.7469/JKSQM.2026.54.1.61
                        
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83 Research Directions for Improving Autonomous Manufacturing Quality of Humanoid Robots: A Systems Engineering Approach
Siil Sung
J Korean Soc Qual Manag. 2026;54(1):83-95.   Published online March 31, 2026
DOI: https://doi.org/10.7469/JKSQM.2026.54.1.83
                        
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97 A Study on Improving the Quality of Adult Day Care Services Using Kano–QFD Integrated Analysis
Seohyoun Park, Sangshik Lee, DonHee Lee
J Korean Soc Qual Manag. 2026;54(1):97-113.   Published online March 31, 2026
DOI: https://doi.org/10.7469/JKSQM.2026.54.1.97
                        
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115 The Impact of the Leadership of Defense SMEs on CFSI Management Performance: Focusing on the Mediating Effects of Data and Configuration Management
Yong-Kawn Beak, Yoon Jun Son, Seo-young Kim, Jeongil Choi, Dong Chun Kim, Hanjoo Yoo, Il Seob Koo
J Korean Soc Qual Manag. 2026;54(1):115-126.   Published online March 31, 2026
DOI: https://doi.org/10.7469/JKSQM.2026.54.1.115
                        
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127 A Study on the Factors Affecting the Acceptance Intention of AI CCTV for Preventing Workplace Accidents in Small and Medium Manufacturing Enterprises
Sung Hyun Jo, Sung Mi Jung, JeongIl Choi
J Korean Soc Qual Manag. 2026;54(1):127-148.   Published online March 31, 2026
DOI: https://doi.org/10.7469/JKSQM.2026.54.1.127
                        
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