JICS

1. Improved Parameter Inference for Low-Cost 3D LiDAR-Based Object Detection on Clustering Algorithms

Da-hyeon Kim, Jun-ho Ahn, Vol. 23, No. 6, pp. 71-78, Dec. 2022

10.7472/jksii.2022.23.6.71
Keywords: 3D LiDAR, clustering, Object Detection, Fusion camera, Hyper-parameter

2. Analyze Virtual Private Network Vulnerabilities and Derive Security Guidelines Based on STRIDE Threat Modeling

Da-hyeon Kim, Ji-young Min, Jun-ho Ahn, Vol. 23, No. 6, pp. 27-37, Dec. 2022

10.7472/jksii.2022.23.6.27
Keywords: Virtual Private Network, STRIDE Threat Modeling, Threat Analysis, Threat Scenario, Security requirement

3. Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster Sites

Da-hyeon Kim, Man-bok Park, Jun-ho Ahn, Vol. 23, No. 4, pp. 57-64, Aug. 2022

10.7472/jksii.2022.23.4.57
Keywords: Risk of building, Physical Security, Deep Learning, Disaster sites, Object Detection

4. Analysis of Abnormal Event Detection Research using Intelligent IoT Devices for Human Health Cares

Do-hyeon Lee, Da-hyeon Kim, Jun-ho Ahn, Vol. 23, No. 2, pp. 37-44, Apr. 2022

10.7472/jksii.2022.23.2.37
Keywords: Intelligence, Emergency detection, IoT sensors, wearable device, Health cares

5. Intelligent Abnormal Situation Event Detections for Smart Home Users Using Lidar, Vision, and Audio Sensors

Da-hyeon Kim, Jun-ho Ahn, Vol. 22, No. 3, pp. 17-26, Jun. 2021

10.7472/jksii.2021.22.3.17
Keywords: Smart home. Intelligent, Abnormal detections, Sensor fusing, algorithm

6. Intelligent Railway Detection Algorithm Fusing Image Processing and Deep Learning for the Prevent of Unusual Events

Ju-ho Jung, Da-hyeon Kim, Chul-su Kim, Ryum-duck Oh, Jun-ho Ahn, Vol. 21, No. 4, pp. 109-116, Aug. 2020

10.7472/jksii.2020.21.4.109
Keywords: Rapid-transit railway, Railway, Deep Learning, Fusion