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@article{ART002198072},
author={Chang-Hee Cho and Kim Jinsul and Lee Sang Joon},
title={Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2017},
volume={12},
number={1},
pages={33-46},
doi={10.34163/jkits.2017.12.1.004}

TY - JOUR
AU - Chang-Hee Cho
AU - Kim Jinsul
AU - Lee Sang Joon
TI - Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System
JO - Journal of Knowledge Information Technology and Systems
PY - 2017
VL - 12
IS - 1
PB - Korea Knowledge Information Technology Society
SP - 33
EP - 46
SN - 1975-7700
AB - Information Technology is played an important role for improving soldier capability like shooting practice in case of national defense field. To develop automative system for detecting and measuring shell crater and its management system, a low cost image processing system and Cloud computing system were applied in this paper. The image processing system was made by using general hardware and open source, OpenCV, and it could be removed noise in input processing by using infrared rays camera and infrared rays light source. And Arduino open source hardware and software was used for calculation collision time between target and projectile. The management system of detected data was developed, analyzed and tested for individual shooting skills data by using a cloud-based Web. The performance of proposed system was proved by measurement accuracy, measurement time and retrieved time, and comparison with other systems. This system is expected to be utilized in many IT areas as defense research. And it can be expected to upgrade defense system by low cost because it consists with general hardware and open source.
KW - Soldier shooting practice;Open CV;Arduino;Clound computing
DO - 10.34163/jkits.2017.12.1.004
ER -

Chang-Hee Cho, Kim Jinsul and Lee Sang Joon. (2017). Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System. Journal of Knowledge Information Technology and Systems, 12(1), 33-46.

Chang-Hee Cho, Kim Jinsul and Lee Sang Joon. 2017, "Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System", Journal of Knowledge Information Technology and Systems, vol.12, no.1 pp.33-46. Available from: doi:10.34163/jkits.2017.12.1.004

Chang-Hee Cho, Kim Jinsul, Lee Sang Joon "Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System" Journal of Knowledge Information Technology and Systems 12.1 pp.33-46 (2017) : 33.

Chang-Hee Cho, Kim Jinsul, Lee Sang Joon. Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System. 2017; 12(1), 33-46. Available from: doi:10.34163/jkits.2017.12.1.004

Chang-Hee Cho, Kim Jinsul and Lee Sang Joon. "Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System" Journal of Knowledge Information Technology and Systems 12, no.1 (2017) : 33-46.doi: 10.34163/jkits.2017.12.1.004

Chang-Hee Cho; Kim Jinsul; Lee Sang Joon. Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System. Journal of Knowledge Information Technology and Systems, 12(1), 33-46. doi: 10.34163/jkits.2017.12.1.004

Chang-Hee Cho; Kim Jinsul; Lee Sang Joon. Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System. Journal of Knowledge Information Technology and Systems. 2017; 12(1) 33-46. doi: 10.34163/jkits.2017.12.1.004

Chang-Hee Cho, Kim Jinsul, Lee Sang Joon. Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System. 2017; 12(1), 33-46. Available from: doi:10.34163/jkits.2017.12.1.004

Chang-Hee Cho, Kim Jinsul and Lee Sang Joon. "Detecting Shell Crater Based on Image Processing and Its Cloud Based Management System" Journal of Knowledge Information Technology and Systems 12, no.1 (2017) : 33-46.doi: 10.34163/jkits.2017.12.1.004