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21. Design of Video Pre-processing Algorithm for High-speed Processing of Maritime Object Detection System and Deep Learning based Integrated System

Hyun-hak Song, Hyo-chan Lee, Sung-ju Lee, Ho-seok Jeon, Tae-ho Im, Vol. 21, No. 4, pp. 117-126, Aug. 2020
10.7472/jksii.2020.21.4.117
Keywords: Ship Detection, Deep Learning, image processing, Binarization, Horizon Detection, Multi Connected-component Labeling
22. Adaptive Control Technique for the Random Access Channel in DVB-RCS2 based Next Generation Military Satellite Networks

WonKyun Lee, Dae-Hee Jang, Jong-Moon Chung, Vol. 21, No. 2, pp. 99-108, Apr. 2020
10.7472/jksii.2020.21.2.99
Keywords: Emergency Preparation, Future War, Satellite, RAMA, CRDSA, RA Channel, CRDSA2R
23. Analysis of Job Happiness Types of SW Development Personnel Using Q-sort Methodology

Yun-hi Chang, Vol. 21, No. 1, pp. 57-70, Feb. 2020
10.7472/jksii.2020.21.1.57
Keywords: SW job happiness, Q-sort, Subjective perception of SW personnel, Technology-oriented, SW Personnel Types
24. Alternatives for New Internet Interconnection Policy

Hosoo Cho, Hyunha Shin, Min Ho Ryu, Vol. 21, No. 1, pp. 1-15, Feb. 2020
10.7472/jksii.2020.21.1.1
Keywords: Internet Interconnection, Internet Ecosystem, Bandwidth Cost, topic modeling, Analytic Hierarchy Process
25. Analysis of E2E Latency for Data Setup in 5G Network

Hong-Woo Lee, Seok-Pil Lee, Vol. 20, No. 5, pp. 113-119, Oct. 2019
10.7472/jksii.2019.20.5.113
Keywords: Latency, 5G, CRDX(Connected mode Discontinuous Reception), RTD(Round Trip Delay)
26. A Study on Model for Drivable Area Segmentation based on Deep Learning

Hyo-jin Jeon, Soo-sun Cho, Vol. 20, No. 5, pp. 105-111, Oct. 2019
10.7472/jksii.2019.20.5.105
Keywords: Drivable area segmentation, segmentation, Deep Learning, DeepLab V3+, Mask R-CNN, BDD Dataset
27. Pedestrian Classification using CNN's Deep Features and Transfer Learning

Soyoung Chung, Min Gyo Chung, Vol. 20, No. 4, pp. 91-102, Aug. 2019
10.7472/jksii.2019.20.4.91
Keywords: Pedestrian Classification, Transfer Learning, Deep Features, CNN, INRIA Person Data Set
28. A Study on the Pipe Position Estimation in GPR Images Using Deep Learning Based Convolutional Neural Network

Jihun Chae, Hyoung-yong Ko, Byoung-gil Lee, Namgi Kim, Vol. 20, No. 4, pp. 39-46, Aug. 2019
10.7472/jksii.2019.20.4.39
Keywords: sink holes, pipe, GPR, Image recognition, underground detection, CNN, deep-learning
29. Understanding the Omni-Channel Acceptance: Focused on TTF and UTAUT Models

Dong Hyuk Jo, Sang Min Lee, Vol. 20, No. 1, pp. 113-124, Feb. 2019
10.7472/jksii.2019.20.1.113
Keywords: Omni-Channel, Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), Task-technology fit (TTF), Intention to Use
30. An Exploratory Study on Success Factors of Technology-based start-ups

Dong Hyuk Jo, Jong Young Kim, Vol. 19, No. 6, pp. 113-123, Dec. 2018
10.7472/jksii.2018.19.6.113
Keywords: Technology-based start-ups, Innovation Performance, Technological Entrepreneurship, Network Capability, Technology Innovation Capability

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