• Convergence Security Journal
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• v.18 no.1
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• pp.157-166
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• 2018

This study conducted a perfect detection of explosives by placing various devices and personnel in place of terrorist bomb detection in a situation that is difficult to detect and protect against the use of explosives not only in countries but also in civilians. The result is that the legal system applies, first, the obligation to introduce bomb-sniffing dogs for national critical and large civil facilities. Secondly, it introduces a certification system for bomb-sniffing dogs to verify their detection capabilities. Third, it is to introduce a system for fostering expert manpower to activate expert water supply companies that operate bomb-sniffing dogs.

• Applied Chemistry for Engineering
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• v.33 no.1
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• pp.1-10
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• 2022

This paper reviews the principles, advantages, and disadvantages of main explosives detection technologies, as well as research areas needed in the future. Explosives detection technology can be classified into spectroscopic methods, sensor techniques, and olfactory type sensors. There have been advances in explosives detection technology, however studies on discriminatory, portability, and sensitivity for explosives detection still remained competitive.

• Applied Chemistry for Engineering
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• v.30 no.4
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• pp.399-407
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• 2019

The development of explosive detection technology in a security environment and fear of terrorism at homeland and abroad has been one of the most important issues. Moreover, research works on the explosive detection are highly required to achieve domestic production technology due to the implementation of aviation security performance certification system. Traditionally, explosives are detected by using classical chemical analyses. However, in the view of high sensitivity, rapid analysis, miniaturization and portability electrochemical methods are considered as promising. Most of electrochemical explosive detection technologies are developed in USA, China, Israel, etc. This review highlights the principle and research trend of electrochemical explosive detection technologies carried out overseas in addition to the research direction for future exploration.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.474-475
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• 2018

전 세계적으로 9.11로 대표되는 자살테러, 비행기테러, 화학가스 테러 등에 의한 인명피해가 늘고 있다. 1986년 김포공항 폭발사고, 1995년 음진리교 지하철 사린가스 사건, 2001년 9.11 사건, 2003년 필리핀 공항 폭탄테러 사건 등의 큰 테러 외에도 작은 사건은 무수히 많다. 이러한 테러 사태를 미연에 방지하기 위한 지능형 영상 보안 감시 시스템이 사회적으로 연구되어왔고 도입되어 왔다. 기존의 지능형 영상 보안 시스템은 모션 디렉션 기반으로 금지구역의 침입자로 판단되는 사람을 찾는 기능 중심으로 발전해왔다. 또한 보안요원의 관찰 모니터를 통해 화면을 계속 주시하는 한계 시간의 존재와 모니터 증가에 따른 한계 시간은 더 급감하게 되는 것으로 판단되었다. 이에 본 연구를 통해 유기물 탐지의 자동화를 추구하고, 보안 요원의 감시 업무를 도와 국가 주요 시설물의 유기물 자동 탐지를 통해 테러로부터 안전하게 보호하고자 한다.

• The Science & Technology
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• no.2 s.405
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• pp.8-9
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• 2003

외계생명체 유입설 증거 발견/ 오래된 종이 보관법 개발/ 우리 은하계 주변에 반지 모양의 성운/ 냄새 맡는 폭발물 탐지 장치 개발/ 해왕성에서 위성 3개 새로 발견/ 지구 생물종 목록 25년 내 완성/ 아인슈타인 가설, 사실로 확인 / 멍게 유전자 지도 완성

• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.57-65
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• 2022

International attempts to smuggle narcotics and explosives using ship or aircraft cargoes are on the rise. With the recent increase in the number of detection cases of narcotics and explosives in Korea, it is important to detect dangerous material (narcotics and explosives) through container searches at ports and airports, which are the main routes. This paper proposes a technique to detect dangerous material in cargo containers using the sampled output signal of ion mobility spectroscopy (IMS). The proposed technique estimates parameters such as a threshold, a window length, and a noise level for ion detection of the target dangerous material by using known materials in the initialization stage. The estimated parameters are used to detect the ions of the dangerous target material inside the containers. The proposed technique can be applied when the peak value of the IMS signal and the ion mobility are varying due to container environments.

• 한국지구물리탐사학회:학술대회논문집
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• 2004.08a
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• pp.118-137
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• 2004

Recently underwater geophysical problems for historical relics or UXO's are raised frequently. This study includes the applicabilities and limitations of the recent underwater metal detector and domestic case stories for underwater survey by electrical and magnetic method. Direct or indirect case stories are electrical and vertical magnetic gradiometry surveys beneath Han-river bottom for planning subway tunnel, electrical exploration on lake-bottom, electrical exploration on the tidal flats using high-power transmitter, and borehole three-component magnetic and electromagnetic surveys for detecting the undersea objects. A design of potable real-time, high-speed measurement system using multi-channel array sensors is also introduced here. Further study will be focussed on practical field applications of the fast water-bottom scanning system which is lately required by actual field.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.3-6
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• 2007

현재 우리나라는 원자력 발전에 대한 의존도가 매우 높고 그 기술 또한 우수하다. 그러나 중성자 스펙트럼을 사용하여 폭발물 탐지를 위한 시스템 개발 기술은 미흡한 실정이다. 본 논문은 신경망(Neural Networks)을 한국 원자력 연구소 중성자 스펙트럼 패턴을 분류하는 시스템에 적용하였다. 데이터 획득방법을 달리하여 두 개의 신경망을 구현하였고 그 결과를 분석하여 보았다. 먼저 폭발물에 다량 포함되어 있는 C(Carbon), N(Nitrogen), O(Oxygen) 3개의 물질을 중심으로 중성자 스펙트럼을 분석하였다. 다른 하나는 중성자 스펙트럼을 전체 영역으로 획득한 데이터를 바탕으로 신경망을 구현하여 인식률을 확인하였다. 실험결과 전자의 경우 62.5%의 인식률을, 후자의 경우 신경망은 83.48%의 인식률을 나타내었다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.307-308
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• 2017

본 연구는 경호학을 연구함에 있어 9.11테러 이후 이슈가 되고 있는 항공 관련 테러위협 속에서 우리나라도 예외가 아님을 인식하고 연구를 시작하였다. 특히 가장 기본이 되는 공항의 보안검색 즉, 우리나라 항공보안검색 분야에 대한 취약점을 분석하고 그 대안을 제시한다.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.39-45
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• 2020

Recently the terrors have been attempted in the public places of the nations such as United states, England and Japan by explosive things, toxic materials and so on. It is understood that the method in which dangerous objects are put in public places is one of the difficult types in detection. While there are the cameras recording videos for many spots in public places, it is very hard for the security personnel to monitor every videos. Nowadays the smart softwares which can analyzing videos automatically are utilized to detect abandoned objects. The method by Lin et al. shows comparatively high detection rates for abandoned objects but it is not easy to obtain the shape information because there is a tendency that the number of the pixels decreases abruptly along the time goes due to the characteristics of short-term background images. In this research a novel method is proposed to successfully extract the shape of the abandoned object by analysing the characteristics of area variation. The experiment results show that the proposed method has better performance in extracting shape information in comparison with the precedent approach.