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http://dx.doi.org/10.13089/JKIISC.2020.30.6.967

A Study on the Development of a Tool to Support Classification of Strategic Items Using Deep Learning  

Cho, Jae-Young (Korea University)
Yoon, Ji-Won (Korea University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.30, no.6, 2020 , pp. 967-973 More about this Journal
Abstract
As the implementation of export controls is spreading, the importance of classifying strategic items is increasing, but Korean export companies that are new to export controls are not able to understand the concept of strategic items, and it is difficult to classifying strategic items due to various criteria for controlling strategic items. In this paper, we propose a method that can easily approach the process of classification by lowering the barrier to entry for users who are new to export controls or users who are using classification of strategic items. If the user can confirm the decision result by providing a manual or a catalog for the procedure of classifying strategic items, it will be more convenient and easy to approach the method and procedure for classfying strategic items. In order to achieve the purpose of this study, it utilizes deep learning, which are being studied in image recognition and classification, and OCR(optical character reader) technology. And through the research and development of the support tool, we provide information that is helpful for the classification of strategic items to our companies.
Keywords
Deep Learning; Classification; CNN; OCR; Dual-use Item;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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