• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.928-931
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• 2002

Network based intrusion detection system is a computer network security tool. In this paper, we present an intrusion detection system based on Self-Organizing Maps (SOM) and Resilient Propagation Neural Network (RPROP) for visualizing and classifying intrusion and normal patterns. We introduce a cluster matching equation for finding principal associated components in component planes. We apply data from The Third International Knowledge Discovery and Data Mining Tools Competition (KDD cup'99) for training and testing our prototype. From our experimental results with different network data, our scheme archives more than 90 percent detection rate, and less than 5 percent false alarm rate in one SYN flooding and two port scanning attack types.

• 대한기계학회논문집A
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• 제27권6호
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• pp.938-945
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• 2003

In the present study, the inverse perturbation method is applied to the structural damage detection in conjunction with a system condensation technique. The system condensation technique is adopted to r esolve the problem due to the incomplete measurement of the degrees-of-freedom (DOFs) in a natural mode. However, the numerical difficulty may arise in the system condensation when the DOFs to be measured are not properly selected. Thus, the issue of sensor placement for structural damage detection, in the framework of the condensation technique-based inverse perturbation method, is considered in this study. Also, a methodology to measure the number of sensors required to obtain reliable damage detection is proposed and then verified through some illustrative example problem.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 I
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• pp.242-245
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• 2003

This paper introduces a new algorithm of pulse generation and detection for UWB communication system. The existing UWB systems using Gaussian pulse have some difficulties to cope with bandwidth limitation and frequency transition. Moreover. the system sensitivity to channel noise has made the processes of acquisition and tacking difficult. in this paper, we introduce a new pulse generation method which is able to control the bandwidth and center frequency applying modulation method. thus could improve the detection performance of receiving algorithm. Also, we made a system to search maximum perk by applying the proposed algorithm and consequently could guarantee the correct detection. By the result of simulation, when accumulate 10 times at every 2dB band shifting from 0 to 18dB on AWGN channel, we could confirm the proposed method has 97.4% PDR(Pulse Detection Rate) and 1.868% FAR(False Alarm Rate) performance at 4dB SNR and 15% transmission power threshold level.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.171-171
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• 2000

We have developed m innovative surface inspection system for automated quality control for steel products in POSCO. We had ever installed the various kinds of surface inspection systems, such as a linear CCD and a laser typed surface inspection systems at cold rolled strips production lines. But, these systems cannot fulfill the sufficient detection and classification rate, and real time processing performance. In order to increase detection and classification rate, we have used the Dark, Bright and Transition Field illumination and area type CCD camera, and fur the real time image processing, parallel computing has been used. In this paper, we introduced the automatic surface inspection system and real time image processing technique using the Object Detection, Defect Detection, Classification algorithms and its performance obtained at the production line.

• Environmental Analysis Health and Toxicology
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• 제11권1_2호
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• pp.11-17
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• 1996

The purpose of this experiment is to estabilish the sensitive and specific ELISA (enzyme linked immunosorbent assay) system for the detection of fish metallothionein (MT). Silver carp were injected with CA of 1-8mg/kg body wt. 4 times during 10 days. Silver carp was very tolerant species to CA. Cd induced MT in liver was seperated and purified by gel filtration chromatography and ion exchange chromatography and identified by spectrophotometry, native gel electrophoresis and western blot analysis. The rabbit antiserum was produced by immunizing rabbit with lyophilized MT, and the competitive ELISA system was estabilished for the detection of fish MT. In the present ELISA system, the detection limit was about 33 ng/ml. When this ELISA system was employed to determine the MT level in the supernatant sample of fish liver homogenate, the reaction curve showed a good parallel corelationship with the calibration curve over a certain dilution range. The results indicate that the competitive ELISA can be a useful tool for the detection of fish MT in the toxicological study and the evaluation of water pollution.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 1997년도 International Symposium on Fire Science and Technology
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• pp.507-517
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• 1997

As structures are higher, large-sized and more complex, we should detect the fire at the beginning and cope with it to reduce the loss of mankind and the physical damage due to fire. So we have investigated and developed various kinds of fire detection system, and do the efforts for minimizing the nonfire alarm. As there exists a close relationship between the technology development and the market potential, a comparison between the number of fires in special buildings and detection types were made to find out market potential based on the annual statistics on fire products inspection. In addition, we have discussed the causes of nonfire alarm and the fire detection system and prospect the research trend of the fire detection system.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2007년도 추계학술대회
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• pp.514-519
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• 2007

컴퓨터 네트워크 모니터링에 의한 보안장비는 많은 트래픽 자료를 분석하여, 이상유무를 판단하고, 대응해야 한다. 기존의 보안장비들은 이미 알려진 패턴에 대한 규칙을 이용하는 오용탐지방법(misuse detection)과 의미를 파악하기 어려운 많은 자료들을 제시하고 있는데 머물고 있다. 보다 나은 보안을 위해서는 정상적인 동작에서 벗어나는 이상징후를 탐지하여 침입을 탐지하는 이상탐지방법(anomaly detection)의 채용이 필요하고, 보안장비에서 제시되는 많은 트래픽 자료들은 보안전문가의 전문적인 분석이 필요하다. 본 연구에서는 데이터마이닝 기법을 이용한 이상탐지방법과 보안전문가의 전문적인 보안지식에 의한 분석, 대응, 관리를 위한 지식처리 기법을 사용할 수 있는 지능형 IPS(intrusion Detection System) 프레임워크를 제안한다.

• 한국멀티미디어학회논문지
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• 제25권10호
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• pp.1433-1447
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• 2022

Recently, as the demand for physical security technology to prevent leakage of technical and business information of companies and public institutions increases, the high tech companies are operating X-ray security checkpoints at building entrances to protect their intellectual property and technology. X-ray security checkpoints are operated to detect cameras and storage media that may store or leak important technologies in the bags of people entering and leaving the building. In this study, we propose an X-ray security checkpoint system that automatically detects a storage medium in an X-ray image using a deep learning based object detection method. The proposed system consists of an edge computing unit and a cloud-computing unit. We employ the RetinaNet for automatic storage media detection in the X-ray security checkpoint images. The proposed approach achieved mAP of 95.92% on private dataset.

• 한국정보과학회논문지:정보통신
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• 제31권2호
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• pp.171-178
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• 2004

포트 스캐닝 탐지 시스템은 “False Positive”(실제 공격이 아닌데 공격이라고 탐지, 오탐지)와 “False Negative”(실제 공격인데 공격이 아니라고 탐지, 미탐지)가 낮아야 하는 등의 시스템 성능에 관한 요구사항과, 해당 탐지 시스템을 활용한 보안관리가 용이해야 하는 등의 사용자 친화적인 요구사항을 만족할 필요가 있다. 그러나 공개되어 있는 실시간 스캔 탐지 시스템은 False Positive가 높고 다양한 스캔 기법에 대한 탐지가 잘 이루어지지 않고 있다. 또한 실시간 스캔 탐지 시스템의 대부분이 명령어 기반으로 이루어져 있기 때문에 이률 활용하여 시스템 보안 관리를 수행하는데 많은 어려움이 있다. 따라서 본 논문에서는 새로운 필터 룰 집합의 적용에 의해 포트 스캐닝 기법 기반의 다양한 공격을 탐지 할 수 있고, 공격자의 행동 패턴으로부터 유도된 ABP-Rule의 적용에 의해 False Positive를 최소화할 수 있는 실시간 스캔 탐지 시스템(TkRTSD)을 제안한다. 또한 Tcl/Tk를 이용하여 GUI환경을 구축함으로써 사용자가 쉽게 보안관리를 할 수 있는 사용자 친화적인 탐지 시스템을 제안한다.

• 한국입자에어로졸학회지
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• 제13권1호
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• pp.25-31
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• 2017

This paper offer the characteristics for the detection and classification of biological and non-biological aerosol particles in the air by using laser-induced-fluorescence (LIF) based Bio-aerosol Detection System (BDS). The BDS is mainly consist of an optical chamber, in-outlet nozzle system, 405 nm diode laser, an avalanche photo detector (APD) for scattering signal and photomultiplier tubes (PMT) for fluorescence signals in two different wavelength range ; F1, 510-600 nm and F2, 435-470 nm. The detection characteristics, especially ratio of fluorescence signal intensity were examined using well-known components : polystylene latex (PSL), fluorescence PSL, $2{\mu}m$ of SiO2 micro sphere, dried yeast, NADH, ovalbumin, fungicide powder and standard dust. The results indicated that the 405 nm diode laser-based LIF instrument can be a useful bio-aerosol detection system for unexpected biological threaten alter in real-time to apply for dual-use technology in military and civilian fields.