JICS

1. A Study of Service Innovation in the Airport Industry using AHP

Hong hwan Ahn, Han Sol Lim, Seung Kyun Ra, Bong Gyou Lee, Vol. 25, No. 3, pp. 71-81, Jun. 2024

10.7472/jksii.2024.25.3.71
Keywords: Airport Industry, First Mover, Testbed, Customer Service, Expert Interviews, AHP Analysis

2. A Conceptual Architecture and its Experimental Validation of CCTV-Video Object Activitization for Tangible Assets of Experts’ Visual Knowledge in Smart Factories

Eun-Bi Cho, Dinh-Lam Pham, Kyung-Hee Sun, Kwanghoon Pio Kim, Vol. 25, No. 2, pp. 101-111, Apr. 2024

10.7472/jksii.2024.25.2.101
Keywords: Smart Factory, Working Knowledge, Tangible Asseits of Experts’ Knowledge, Deep-Learning Neural Network Moddls and Frameworks, CCTV-Video Object-Contexualization

3. Expert System-based Context Awareness for Edge Computing in IoT Environment

Junseok Song, Byungjun Lee, Kyung Tae Kim, Hee Yong Youn, Vol. 18, No. 2, pp. 21-30, Apr. 2017

10.7472/jksii.2017.18.2.21
Keywords: IoT, Internet of Things, Edge Computing, Expert system, Context Awareness, Inference engine

4. Effect of Trust Toward Digital Risk Management Organization on Risk Perception and Cognition of Risk Management: Focused on Expert Survey

Won-je Kim, Chan-won Kim, Vol. 16, No. 4, pp. 83-92, Aug. 2015

10.7472/jksii.2015.16.4.83
Keywords: digital risk, trust, risk perception, risk management, expert

5. Fuzzy Expert System for Detecting Anti-Forensic Activities

Se-Ryoung Kim, Huy-Kang Kim, Vol. 12, No. 5, pp. 47-62, Oct. 2011
Keywords: Anti-forensic, Anti-forensic activity model, live forensic, fuzzy logic, Expert system

6. A Implementation of an Efficient Starting Line-up System using the Forward Channing Technology

Hong-Jin Park, Soon-Hwan Kwon, Vol. 9, No. 3, pp. 79-90, Jun. 2008
Keywords: Expert system, Inference engine, Forward chaining technology, Line-up

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