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Search: "[ author: Kwanghoon Pio Kim ]" (14)

1. A Process Event-Trace-Log Pattern-Clustering and Preprocessing Framework

Kwanghoon Pio Kim, Vol. 26, No. 1, pp. 65-77, Feb. 2025
10.7472/jksii.2025.26.1.65
Keywords: Business Process Models, information control nets, Process Management Systems, Process Intelligence, Process Event-Trace-Log Dataset, Process Log-Dataset Preprocessing, Process Mining, Process Pattern-Clustering Approaches
2. A YOLO based CPTED environmental factor detection model

Tsagaantsooj Batzaya, Eun-bi Cho, Jeong-hyeon Chang, Kwanghoon Pio Kim, Vol. 26, No. 1, pp. 9-17, Feb. 2025
10.7472/jksii.2025.26.1.9
Keywords: CPTED, YOLO, GSV, Natural surveillance, Physical environment, Crime Prevention
3. Exploring Predictive Factors through Spatio-temporal Patterns and Semantic Segmentation of Sexual Crime

Myeonggi Hong, Eunbi Cho, Kwanghoon Pio Kim, Vol. 25, No. 6, pp. 37-48, Dec. 2024
10.7472/jksii.2024.25.6.37
Keywords: Environmental criminology, Sexual crime, Cityscape, Semantic segmentation, Convergence
4. 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
5. A Predictive Bearing Anomaly Detection Model Using the SWT-SVD Preprocessing Algorithm

So-hyang Bak, Kwanghoon Pio Kim, Vol. 25, No. 1, pp. 109-121, Feb. 2024
10.7472/jksii.2024.25.1.109
Keywords: 베어링 이상탐지, 설비예지보전, 딥러닝, 주파수변환
6. Control-Path Driven Process-Group Discovery Framework and its Experimental Validation for Process Mining and Reengineering

Thanh Hai Nguyen, Kwanghoon Pio Kim, Vol. 24, No. 5, pp. 51-66, Oct. 2023
10.7472/jksii.2023.24.5.51
Keywords: Business Process Models, information control nets, Distributed Process Management Systems, Process Intelligence, Process Control-Path Knowledge Discovery, Process Mining, Process Reengineering
7. LSTM-based Business Process Remaining Time Prediction Model Featured in Activity-centric Normalization Techniques

Seong-Hun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 21, No. 3, pp. 83-92, Jun. 2020
10.7472/jksii.2020.21.3.83
Keywords: predictive process monitoring, remaining time prediction, LSTM model, Deep Learning, Process Mining
8. Tailoring Operations based on Relational Algebra for XES-based Workflow Event Logs

Jaeyoung Yun, Hyun Ahn, Kwanghoon Pio Kim, Vol. 20, No. 6, pp. 21-28, Dec. 2019
10.7472/jksii.2019.20.6.21
Keywords: Workflow, Process Mining, XES, relational algebra, Event Log
9. HBase based Business Process Event Log Schema Design of Hadoop Framework

Seonghun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 20, No. 5, pp. 49-55, Oct. 2019
10.7472/jksii.2019.20.5.49
Keywords: Workflow Process, NoSQL, Process Mining, Event Log, Hadoop, Process Discovery
10. Disjunctive Process Patterns Refinement and Probability Extraction from Workflow Logs

Kyoungsook Kim, Seonghun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 20, No. 3, pp. 85-92, Jun. 2019
10.7472/jksii.2019.20.3.85
Keywords: Workflow Process; Process Patterns, Proportional Information Control Nets, Workflow Logs, Temporal Work cases, Fidelity of Workflow Process, Model-Log Comparison, Workflow Intelligence. and Analytics

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