• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Digital Library


Search: "[ author: Da-hyeon Kim ]" (6)
  1. 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. 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. 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. 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. 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. 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