• 한국정보기술응용학회:학술대회논문집
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• 한국정보기술응용학회 2002년도 추계공동학술대회 정보환경 변화에 따른 신정보기술 패러다임
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• pp.59-65
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• 2002

최근 침입 탐지 시스템에 대한 관심이 증대되고 있다. 침입 탐지 시스템에서 침입 여부 확인을 위하여 패턴매칭 기법이 주로 사용된다. 기존의 패턴매칭 기법들은 다양한 공격 패턴들에 대한 패턴 비교 시간이 많이 소요되는 문제점이 있었다. 본 논문에서는 기존의 패턴매 칭 기법들이 가지고 있는 문제점을 해결하기 위하여 새로운 침입 탐지 시스템을 제안한다. 제안한 시스템은 효율적인 패턴 비교를 위하여 룰 패턴을 분류한다. 분류된 패턴은 매칭을 위하여 정형화된 트리로 구현한다. 그러므로, 본 논문에서 제안한 침입 탐지 시스템 모델은 효율적으로 네트워크 침입 탐지를 수행할 수 있다.

• 한국정밀공학회지
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• 제13권11호
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• pp.100-105
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• 1996

In this paper presents a new technique (stain-telemetering) for detection of coated tool failure in face milling processes. In the cutter body, the strain signals received from the transmitter are transformed into frequency modulation(FM) signals in face milling processes. The receive which is placed near by the Vertical milling machine receives the FM signals, then the signals are sent to a computer, which shows the tool failure. In this paper, A on-line monitoring of the tool failure detection system based on the strain-telemetering apparatus has been represented.

• 비파괴검사학회지
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• 제32권3호
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• pp.291-295
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• 2012

In the industrial field, real-time monitoring system like a fault early detection is very important. For this, the infrared thermography technique as a new diagnosis method is proposed. This study is focused on the damage detection and temperature characteristic analysis of ball bearing using the non-destructive infrared thermography method. In this paper, thermal image and temperature data were measured by a Cedip Silver 450 M infrared camera. Based on the results, the temperature characteristics under the conditions of normal, loss lubrication, damage, dynamic loading, and damage under loading were analyzed. It was confirmed that the infrared technique is very useful for the detection of the bearing damage.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2002년도 추계공동학술대회
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• pp.59-65
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• 2002

최근 침입 탐지시스템에 대한 관심이 증대되고 있다 침입탐지 시스템에서 침입여부 확인을 위하여 패턴매칭 기법이 주로 사용된다. 기존의 패턴매칭 기법들은 다양한 공격 패턴들에 대한 패턴 비교 시간이 많이 소요되는 문제점이 있었다. 본 논문에서는 기존의 패턴 매칭 기법들이 가지고 있는 문제점을 해결하기 위하여 새로운 침입 탐지 시스템을 제안한다. 제안한 시스템은 효율적인 패턴비교를 위하여 롤 패턴을 분류한다. 분류된 패턴은 매칭을 위하여 정형화된 트리로 구현한다 그러므로, 본 논문에서 제안한 침입탐지 시스템 모델은 효율적으로 네트워크 침입 탐지를 수행 할 수 있다.

• 한국산업정보학회논문지
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• 제8권1호
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• pp.75-82
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• 2003

인터넷의 대중화로 인한 네트워크의 급속한 팽창으로 보안관리가 중요하게 인식되고 있다. 특히, 이상패킷을 이용한 공격들은 비정상적인 패킷들을 통하여 침입탐지 시스템이나 침입차단 시스템을 우회하여 공격하기 때문에 탐지해 내기가 어렵다. 본 논문에서는 이상패킷을 이용한 공격들을 실시간에 효율적으로 탐지할 수 있는 네트워크 기반의 침입탐지 시스템을 설계하고 구현한다. 침입탐지 시스템을 설계하기 위하여 먼저 침입 탐지를 위한 패턴을 분류하고 이를 기반으로 해싱기법이 적용된 룰트리를 생성한다. 생성된 룰트리를 기반으로 제안한 시스템은 이상패킷 공격을 효율적으로 실시간에 탐지한다.

• Journal of electromagnetic engineering and science
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• 제12권3호
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• pp.196-202
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• 2012

Spectrum sensing is one of the most important functions in cognitive radio systems. In this paper, we focus on reducing the sensing time in a cooperative spectrum sensing paradigm. In the proposed scheme, a sequential detection technique is employed to provide a robust and quick detection system. Each of the secondary users measures the log-likelihood probability of the received signals and then sequentially reports to the base station. Here, the maximum ratio combining (MRC) technique is employed to reduce the average sample number (ASN) in order to reduce the sensing time. This proposed scheme is analyzed and simulated to illustrate the performance in comparison with the other given methods. Analysis and simulation are provided to validate the proposed method.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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• pp.123.2-123.2
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• 2013

Etching endpoint detection with plasma impedance monitoring (PIM) is demonstrated for small area dielectric layers inductive coupled plasma etching. The endpoint is determined by the impedance harmonic signals variation from the I-V monitoring system. Measuring plasma impedance has been examined as a relatively simple method of detecting variations in plasma and surface conditions without contamination at low cost. Cluster analysis algorithm is modified and applied to real-time endpoint detection for sensitivity enhancement in this work. For verification, the detected endpoint by PIM and real-time cluster analysis is compared with widely used optical emission spectroscopy (OES) signals. The proposed technique shows clear improvement of sensitivity with significant noise reduction when it is compared with OES signals. This technique is expected to be applied to various plasma monitoring applications including fault detections as well as end point detection.

• 대한원격탐사학회지
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• 제16권4호
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• pp.355-365
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• 2000

The interferometric correlation, or coherence, is calculated to measure the variance of the interferometric phase and amplitude within the neighbourhood of any location within the image at a result of SAR (Synthetic Aperture Radar) interferometric process which utilizes the phase information of the images. The coherence contains additional information that is useful for detecting point targets which change their location in an area of interest (AOI). In this research, a RGB colour composite image was generated with a intensity image (master image), a intensity change image as a difference between master image and slave image, and a coherence image generated as a part of SAR interferometric processing. We developed a technique performing detection of a point target movement using SAR interferometry and applied it to suitable tandem pair images of ERS-1 and ERS-2 as test data. The possibility of change detection of a point target in the AOI could be identified with the technique proposed in this research.

• International journal of advanced smart convergence
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• 제10권1호
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• pp.82-88
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• 2021

In this paper, we propose an automatic detection scheme of work distraction for remote management of telecommuting. The proposed scheme periodically captures two consequent computer screens and generates the difference image of these two captured images. The scheme applies the difference image to our deep learning model and makes a decision of abnormal patterns in the difference image. Our deep learning model is designed with the transfer learning technique of VGG16 deep learning. When the scheme detects an abnormal pattern in the difference image, it hides all texts in the difference images to protect disclosure of privacy-related information. Evaluation shows that the proposed scheme provides about 96% detection accuracy.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2020년도 추계학술발표대회
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• pp.144-146
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• 2020

Discrete Wavelet Transform (DWT) is an effective technique that is commonly used for detecting noise in collected data of an individual sensor. In addition, the detection accuracy can be significant improved by exploiting the correlation in the data of neighboring sensors of Wireless Sensor Networks (WSNs). Principal component analysis is the powerful technique to analyze the correlation in the multivariate data. In this paper, we propose a DWT-PCA combination scheme for noise detection (DWT-PCA-ND). Experimental results on a real dataset show a remarkably higher performance of DWT-PCA-ND comparing to conventional PCA scheme in detection of noise that is a popular anomaly in collected data of WSN.