• 한국산학기술학회논문지
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• 제12권11호
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• pp.5123-5127
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• 2011

증가 추세인 지중 전력설비의 사고 예방과 유지 보수를 위한 기술 연구 개발 요구가 증가하고 있다. 지중선로의 경우 누전 불량의 점유율이 높고 보수도 어려워 정확한 누전점 위치의 탐지가 중요하다. 교류 송신파를 누전점을 가지는 지중선로에 인가하여 발생시킨 교류 대지전위를 측정하여 누전점의 위치를 찾는 방법은 송신파 특정 극성반주기에 교류 대지전위를 동기화하여 비교 판단하여야 한다. 송신파의 특정 극성의 반주기와 동기화하는 기존 방법을 설명하고, 송신파 반주기 변조된 대지 전위 측정 방식을 제안하고 소개하였다. 실험을 통하여 제안한 방식이 구현 가능함을 확인하였다.

• 비파괴검사학회지
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• 제30권6호
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• pp.521-526
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• 2010

Gas transmission pipelines are often inspected and monitored using the magnetic flux leakage method. An inspection vehicle known as a "pig" is launched into the pipeline and conveyed along the pipe by the pressure of natural gas. The pig contains a magnetizer, an array of sensors and a microprocessor-based data acquisition system for logging data. This paper describes magnetic flux leakage (MFL) signal processing used for detecting mechanical damages during an in-line inspection. The overall approach employs noise removal and clustering technique. The proposed method is computationally efficient and can easily be implemented. Results are presented and verified by field tests from an application of the signal processing.

• 한국농공학회논문집
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• 제60권6호
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• pp.21-31
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• 2018

The result of examination of diagnostic method, which is composed of a combination of a thermal camera and a drone that visually shows the temperature of the object by detecting the infrared rays, for detecting the leakage of earth dam was driven in this research. The drone infrared thermography method was suggested to precise safety diagnosis through direct comparing the two method results of electrical resistivity survey and thermal image survey. The important advantage of the thermal leakage detection method was the simplicity of the application, the quickness of the results, and the effectiveness of the work in combination with the existing diagnosis method.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2005년도 추계학술대회 논문집
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• pp.783-788
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• 2005

Detection of small leakage current is the most important technique in arrester diagnosis. Various types of leakage current detector have been commercialized, but they are not available for the railway arresters including voltage harmonics, and do not furnish enough information needed for arrester diagnosis. This paper describes the development of a leakage current detector which is suitable for the railway arresters. The detector is consisted of a sensor unit with amplifier, an optical linker and main analyzer. Frequency bandwidth and measuring range of the detector is 9[Hz]$\~$850[Hz] and 50[uA]$\~$5[mA], respectively.

• Journal of Magnetics
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• 제18권3호
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• pp.357-360
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• 2013

A modified SQI method using magnetic leakage flux (MFL) signal for underground gas pipelines' defect detection and characterization is presented in this paper. Raw signals gathered using MFL signals include many unexpected noises and high frequency signals, uneven background signals, signals caused by real defects, etc. The MFL signals of defect free pipelines primarily consist of two kinds of signals, uneven low frequency signals and uncertain high frequency noises. Leakage flux signals caused by defects are added to the case of pipelines having defects. Even though the SQI (Self Quotient Image) is a useful tool to gradually remove the varying backgrounds as well as to characterize the defects, it uses the division and floating point operations. A modified SQI having low computational complexity without time-consuming division operations is presented in this paper. By using defects carved in real pipelines in the pipeline simulation facility (PSF) and real MFL data, the performance of the proposed method is compared with that of the original SQI.

• 정보과학회 논문지
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• 제45권3호
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• pp.294-302
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• 2018

정보통신 기술의 발전에 따른 새로운 서비스 산업의 출현으로 개인 정보 침해, 산업 기밀 유출 등 사이버 공간의 위험이 다양화 되어, 그에 따른 보안 문제가 중요한 이슈로 떠오르게 되었다. 본 연구에서는 기업 내 개인 정보 오남용 및 내부 정보 유출에 따른, 대용량 사용자 로그 데이터를 기반으로 기존의 시그니처(Signature) 보안 대응 방식에 비해, 실시간 및 대용량 데이터 분석기술에 적합한 행위 기반 이상 탐지방식을 제안하였다. 행위 기반 이상 탐지방식이 대용량 데이터를 처리하는 기술을 필요로 함에 따라, 역방향 인덱스(Inverted Index) 기반의 실시간 검색 엔진인 엘라스틱서치(Elasticsearch)를 사용하였다. 또한 데이터 분석을 위해 통계 기반의 빈도 분석과 전 처리 과정을 수행하였으며, 밀도 기반의 군집화 방법인 DBSCAN 알고리즘을 적용하여 이상 데이터를 분류하는 방법과 시각화를 통해 분석을 간편하게 하기위한 한 사례를 보였다. 이는 기존의 이상 탐지 시스템과 달리 임계값을 별도로 설정하지 않고 이상 탐지 분석을 시도하였다는 것과 통계적인 측면에서 이상 탐지 방식을 제안하였다는 것에 의의가 있다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2009-2014
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• 2007

Hydrogen is a fuel of fuel cell system, which has powerful explosion possibility. Hence, the fuel cell system needs safety evaluation to prevent risk of hydrogen leakage. We use a actual size chamber of a common fuel cell module to analyze hydrogen. Hydrogen injection holes are located in lower part of the chamber in order to simulated hydrogen leakage. The hydrogen sensor can detect range of 0${\sim}$4%. Since the hydrogen gas, of which leaked amount is controled by MFC, are injected at the bottom holes, the transient sensor signals are measured. At a condition of 10cc/s of hydrogen leakage, the sensor detects hydrogen leakage after 22sec and there is also several seconds of time delay depending on the position of the sensor. This experimental data can be applied for the design of the hydrogen detection system and ventilation system of a residential fuel cell system.

• 산업기술연구
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• 제28권B호
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• pp.39-45
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• 2008

Temperature variation according to space and time on the inner parts of engineering constructions(e.g.: dam, slope) can be a basic information for diagnosing their safety problem. In general, as constructions become superannuated, structural deformation(e.g.: cracks, defects) could be occurred by various factors. Seepage or leakage of water through these cracks or defects in old dams will directly cause temperature anomaly. Groundwater level also can be easily observed by abrupt change of temperature on the level. This study shows that the position of seepage or leakage in dam body can be detected by multi-channel temperature monitoring using thermal line sensor. For this, diverse temperature monitoring experiments for a leakage physical model were performed in the laboratory. In field application of an old earth fill dam, temperature variations for water depth and for inner parts of boreholes located at downstream slope were measured. Temperature monitoring results for a long time at the bottom of downstream slope of the dam showed the possibility that temperature monitoring can provide the synthetic information about flowing path and quantity of seepage of leakage in dam body.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권3호
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• pp.558-575
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• 2013

The purpose of a data leakage prevention system is to protect corporate information assets. The system monitors the packet exchanges between internal systems and the Internet, filters packets according to the data security policy defined by each company, or discretionarily deletes important data included in packets in order to prevent leakage of corporate information. However, the problem arises that the system may monitor employees' personal information, thus allowing their privacy to be violated. Therefore, it is necessary to find not only a solution for detecting leakage of significant information, but also a way to minimize the leakage of internal users' personal information. In this paper, we propose two models for representing the level of personal information disclosure during data leakage detection. One model measures only the disclosure frequencies of keywords that are defined as personal data. These frequencies are used to indicate the privacy violation level. The other model represents the context of privacy violation using a private data matrix. Each row of the matrix represents the disclosure counts for personal data keywords in a given time period, and each column represents the disclosure count of a certain keyword during the entire observation interval. Using the suggested matrix model, we can represent an abstracted context of the privacy violation situation. Experiments on the privacy violation situation to demonstrate the usability of the suggested models are also presented.

• 대한전기학회논문지:전력기술부문A
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• 제48권3호
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• pp.184-189
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• 1999

In this paper, we develope a diagnosis device for ZnO arrester by detecting the leakage current in service. To diagnose the deterioration of ZnO arrester, the device detects the total leakage current which flows between an arrester and ground, and analyzes the resistive current(third harmonic current) which is an indicator of deterioration of ZnO arrester. We use the optical cable which can transfer a detected data without a noise, also use a microprocessor for a data storage, processing, and trend analysis. Experiment are executed to verify its performance in laboratory and the results show that the diagnosis device exactly detects the total leakage current and the resistive current, so it can diagnose the deterioration of ZnO arrester. Also the leakage current of ZnO arrester is detected using the developed diagnostic device in field, these results are presented.