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

Digital Library


Search: "[ author: Jun-ho Ahn ]" (5)
  1. 1. 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
  2. 2. 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
  3. 3. Deep Learning-Based User Emergency Event Detection Algorithms Fusing Vision, Audio, Activity and Dust Sensors
    Ju-ho Jung, Do-hyun Lee, Seong-su Kim, Jun-ho Ahn, Vol. 21, No. 5, pp. 109-118, Oct. 2020
    10.7472/jksii.2020.21.5.109
    Keywords: vision, Audio, Activity, Dust, Sensors, Deep Learning, abnormal event, patterns
  4. 4. 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
  5. 5. Abnormal Behavior Pattern Identifications of One-person Households using Audio, Vision, and Dust Sensors
    Si-won Kim, Jun-ho Ahn, Vol. 20, No. 6, pp. 95-103, Dec. 2019
    10.7472/jksii.2019.20.6.95
    Keywords: Intelligence, vision, Audio, Dust, pattern, One-person Households