• Convergence Security Journal
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• v.16 no.2
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• pp.71-76
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• 2016

As an extreme-type crime caused by social anxiety and economic hardship, firearm accidents recently rising as a serious social problem are gradually increasing the national anxiety as people start realizing that Korea is no more a safety zone for firearm accidents. In order to improve it, the police and academia are presenting measures through the suggestion of diverse policies and also change of system. However, there are not sufficient researches in the aspect of technology while some people argue that they cannot become fundamental alternatives on top of its effectiveness issue. Thus, this study has suggested a more effective firearms safety control system in the aspect of technology.

• Proceedings of the KOR-BRONCHOESO Conference
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• 1983.05a
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• pp.17.3-17
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• 1983

Foreign bodies in the paranasal sinuses are not commonly observed. Recently, we have observed an interesting case of metalic foreign body (a fragment of bullet) which remained in the posterior part of the left ethmoid sinus for about 30 years, and report here now with a review of literature.

• Journal of Broadcast Engineering
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• v.23 no.6
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• pp.780-789
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• 2018

Nowadays, gun crimes occur very frequently not only in public places but in alleyways around the world. In particular, it is essential to detect a person armed by a pistol to prevent those crimes since small guns, such as pistols, are often used for those crimes. Because conventional works for armed person detection have treated an armed person as a single object in an input image, their accuracy is very low. The reason for the low accuracy comes from the fact that the gunman is treated as a single object although the pistol is a relatively much smaller object than the person. To solve this problem, we propose a novel algorithm called APDA(Armed Person Detection Algorithm). APDA detects the armed person using in a post-processing the positions of both wrists and the pistol achieved by the CNN-based human body feature detection model and the pistol detection model, respectively. We show that APDA can provide both 46.3% better recall and 14.04% better precision than SSD-MobileNet.

• Analytical Science and Technology
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• v.23 no.3
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• pp.322-329
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• 2010

Primer gunsot residues (GSR) obtained from K1A and K2 rifles, and K5 pistol were analysed with scanning electron microscopy/energy dispersive X-ray spectrometry (SEM-EDX) as basic data in firearm accidents. Ammunition of 5.56 mm is employed for K1A and K2 rifles and 9.0 mm for a K5 pistol. The analyses of morphology, size, particle number, elemental ratio were performed for primer GSR prepared after shooting 3 times. The detected content was Ba>Pb>Sb in most GSR particles but Sb>Pb>Ba or Pb>Sb>Ba in some particles. In the statistical result of composition ratio of elements, the particles with more Sb than Ba were detected in most primer GSR from a K5 pistol, 3~8 times more than K1A and K2 rifles. This results can be employed to discriminate gun type between rifles and pistols. Furthermore, the size and the number of particles can be applied to access the type of guns.

• Journal of the Korean Society for Marine Environment & Energy
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• v.2 no.1
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• pp.49-62
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• 1999

The main functions of oil booms are to prevent spreading of the oil slick and to increase the recovering efficiency of oil skimmers. The oil-containment capability of a floating boom on an open sea is affected by environmental parameters such as waves, currents and winds, as well as the motion characteristics of a boom section. In this study, a series of tests were conducted for three kinds of booms (internal foam type, air inflatable type, self-expanded type) at the open sea off Yosu, and the results are presented. Motion characteristics and oversplashing phenomenon were observed for each boom in different environmental conditions. And the tension exerted on towing line of the boom was also measured with a systematic varitation of towing speeds and gap ratios.

• The Journal of Society for e-Business Studies
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• v.13 no.2
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• pp.101-115
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• 2008

Recently in the human society, the crime using small arms has increased. Also, many accidents happen because of incomplete management of chemicals and radiation. Accordingly, it is necessary to manage dangerous objects by tracing the position of dangerous objects and rapidly providing the correct information for them. This paper presents a web-based system for real-time monitoring of dangerous objects using RFID in order to overcome the limitations and problems of current dangerous objects management techniques. In this paper, we define the architecture for web-based dangerous objects monitoring system and the scheme for storing information of a dangerous object in the RFID tag. We also implement the web-based monitoring system and present the execution result of the system. The proposed real-time monitoring system is composed of the dangerous objects monitoring server which manages information of dangerous objects and controls them, the dangerous objects monitoring middleware which is mediator between dangerous objects and the server, the RFID reader which reads information of dangerous objects from RFID tags attached to the objects and the database which stores information, status and position of dangerous object. The proposed system manages diverse dangerous objects such as small arms, radiation and harmful chemicals based on the position of them using RFID, so the user can check dangerous objects when they are checked in and checked out and the user can acquire the real-time position information of them through the system. Furthermore, the user can visually monitor dangerous objects through web browser from any where and at any time because the system is web-based system and it provides graphical user interface.

• Journal of Internet Computing and Services
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• v.11 no.1
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• pp.117-128
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• 2010

There are many researches related to a simulated shooting training system for replacing the real military and police shooting training. In this paper, we propose the point of impact from a simulated shooting target based on image processing instead of using a sensor based approach. The point of impact is extracted by analyzing the image extracted from the camera on the muzzle of a gun. The final shooting result is calculated by mapping the target and the coordinates of the point of impact. The recognition system is divided into recognizing the projection zone, extracting the point of impact on the projection zone, and calculating the shooting result from the point of impact. We find the vertices of the projection zone after converting the captured image to the binary image and extract the point of impact in it. We present the extracting process step by step and provide experiments to validate the results. The experiments show that exact vertices of the projection area and the point of impact are found and a conversion result for the final result is shown on the interface.