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논문검색

Original Article

AI 보안검색 자동판독 기술개발을 위한 효율적인 데이터베이스 분류체계 제안

원문정보

Proposal of efficient database classification system for the development of AI automatic security search technology

이용강, 소대섭

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

If the classification system currently used to develop artificial intelligence security search automatic reading technology is used, problems such as data integrity, security, and quick decision-making using data may occur. Using the newly proposed 10-digit classification system, first, it is possible to quickly find and analyze necessary information using systematically structured data. Since it is possible to register data objectively according to the classification system from the time it is registered, the performance of analysis and processing on stored data is improved and time and cost are reduced. In addition, detailed trends by data can be compared and analyzed through continuous management. Second, data consistency, integrity, and security can be improved. Consistency can be maintained in data input because data is stored according to a specific category, and security can be strengthened by limiting access to sensitive or security-requiring data belonging to a specific category. As a result, it is possible to improve the efficiency of database algorithms, and ultimately, the accuracy and speed of product search will be improved by assisting search personnel in security search using AI X-ray.

목차

[Abstract]
Ⅰ. 서론
Ⅱ. DB 분류체계의 필요성 및 현 분류체계의 문제점
1. DB 분류체계의 필요성 및 현 DB 분류체계 운용
2. 현 DB 분류체계 문제점
Ⅲ. DB구축을 위한 분류체계의 특성 분석 및 효율적 분류체계 제안
1. 물품 종류에 따른 분류체계의 특성
2. HS Code에 따른 분류체계 특성
3. 항공기 내 반입금지 위해물품 고시를 적용한 분류체계의 특성
4. 메타데이터 정보(Metadata Information or Metadata)에 따른 분류체계 특성
5. 네 가지 분류체계 특징 비교분석을 통한 효율적 분류체계 제시
Ⅳ. 결론
Acknowledgments
참고문헌

저자정보

  • 이용강 Yong-Kang Lee. 한서대학교, 항공보안학과 부교수
  • 소대섭 Dae-Seop So. 한서대학교, 항공보안학과 부교수

참고문헌

자료제공 : 네이버학술정보

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