• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.31-32
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• 2018

상수도배관에 누수발생시 주변의 다른 주요 기반시설들에 피해를 줄 수 있어 상수도배관의 누수감지 시스템 개발이 필요하다. 본 논문에서는 상수도배관의 누수감지를 위해 음향방출 센서와 기계학습 알고리즘을 적용한 누수검출 알고리즘을 제안하였으며 모의실험결과 누수 전/후의 상태를 100% 검출하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.510-515
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• 2007

더 이상 사용되지 않는 메모리가 계속해서 유지되는 것을 메모리 누수라고 한다. 메모리 누수가 발생하면 메모리 낭비가 누적되기 때문에 시스템의 성능이 저하되고 궁극적으로 시스템 크래시(crash)가 발생 할 수 있다. 본 논문에서는 이러한 메모리 누수를 검출하기 위하여 참조 계수 기법을 이용한다. 참조계수 기법을 이용하면 메모리 누수의 발생 여부뿐만 아니라 메모리 누수 발생시점에 대한 정보까지 제공할 수 있어 디버깅이 용이해진다. 그리고 본 논문에서 제안한 기법을 구현한 도구를 이용하여 사례연구를 수행한다. 사례 연구 분석을 통하여 본 연구에서 제안한 기법이 정확하게 메모리 누수를 검출하고 디버깅에 유용한 정보를 제공할 수 있다는 것을 보인다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.669-670
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• 2023

본 논문에서는 열화상 카메라 및 주변 환경요인 측정 시스템을 이용하여 각종 반도체 제조공정에 사용되는 화학물질의 누수를 검출하는 방안을 제안한다. 이는 대형화되고 복잡한 집적배관이 시공되어 있는 공장 환경에서 검출센서를 통한 화학물질 누수 관리를 열화상 시스템으로 대체함으로써 보다 정확하고 안정적인 모니터링을 통해 신속한 대응 및 관리가 가능할 것이다. 또한 본 연구를 통해 누수 배관표면의 열패턴을 실시간으로 모니터링 함으로 기존 누수 검출 센서(면적식 라인타입의 센서)에 대비하여 20% 이상 검출의 신속성 향상을 보장할 수 있다.

• Journal of KIISE:Software and Applications
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• v.37 no.10
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• pp.760-767
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• 2010

There are many memory leak detection tools. However, programmers, who develop very large programs, tend to avoid testing their programs with memory leak detection tools since these tools require runtime and space overheads. Thus, we present a memory leak detection technique which enables programmers to test their modules in their unit test phase with low overheads. To achieve this goal, we extend the existing cyclic memory allocation technique and evaluate our memory leak detection technique on a tiny DBMS. In our experiments, we find our tool has reasonably low runtime and space overheads and it reports only a small number of false positives.

• Journal of the Society of Disaster Information
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• v.16 no.1
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• pp.144-154
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• 2020

Purpose: This paper is a fundamental study on the applicability of the smart bolt developed for monitoring system to detect the leakage of water supply valve. Method: A leak detection experiments were conducted using the smart bolt having embedded strain sensors and accelerometer. The smart bolt used in study meets the allowable criteria of torque and tensile stress for water supply system, and it can be applied to a joint of the water supply valve by behaving well within the allowable limits. Result: As a result of the simulated leak tests, a leak signal at the valve leak point was detected in a band of 60Hz, and the main pipe leaking point was observed to produce a leak signal having much higher frequency than that of the valve leak point. This seems to result in a total coupled vibration under unconfined conditions of the pipes. Conclusion: The smart bolts appeared applicable to detecting a leaking signal from the water supply valve.

• The Safety technology
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• no.190
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• pp.24-26
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• 2013

최근 화학물질 안전사고가 잇따라 발생하면서 사업장 내 안전제품을 구비하고 안전한 작업환경을 조성하려는 움직임이 확산되고 있다. (주)유민에쓰티(대표 유흥근)는 이러한 화학물질 안전사고를 예방하기 위해 불산, 염소 등의 화학약품 유출을 감지하는 센서장치를 생산하는 곳이다. 이곳은 누수감지센서를 비롯해 스팀검출센서, 옥외용 강산 검출센서, 유기성액체 검출센서 등을 개발하면서 산업안전제품시장에서 무서운 신장세를 드러내고 있다. 특히 지난 2008년에는 인쇄전자 기반의 필름형 누수감지센서를 세계 최초로 개발해 국무총리상을 수상하면서 우수한 기술력을 자랑하기도 했다. 또한 국내외 약 50여 건에 이르는 특허 획득을 통해 품질을 인증받았으며, 미국전기전자공학회(IEEE)에 소개되는 등 해외에서도 기술력을 인정받고 있다. 이처럼 (주)유민에쓰티는 끊임없는 기술 개발로 안전한 작업현장을 조성하는 데 이바지하고 있다. 하지만 유민에스티의 모든 관계자들은 사업장 내 안전이 먼저 확보됐었기에 이 같은 성장이 가능했다고 입을 모아 말한다. 제조업 특성상 안전사고 발생률이 높은데도 불구하고 2003년 설립된 이후 단 한 건의 안전사고와 산재가 발생하지 않았을 만큼 철저한 안전관리를 전개하고 있는 것이다. 안전을 바탕으로 눈부신 성장을 하고 있는 (주)유민에쓰티를 찾아가봤다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.12 no.1
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• pp.51-57
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• 2013

Leak detection, the system is controlled by humanity's precious water resources, prepare for natural disasters and prevent damage to buildings and various industrial facilities. Especially because it causes serious environmental pollution, chemicals or oil spills, leak detection of various liquid(oil, water), the point at which the liquid leak is detected early on, and minimize environmental pollution, prevent damage of the equipment due to the leak, and the country's precious water resources to be used safely. In this paper, we solve these problems by using specialized film sensor, any person who is not a skilled technician, equipment or walls anywhere can be easily installed. also reduce unnecessary circuit, If film sensor is connected to operate, have a big competitive price, the detection of liquid and the surrounding environment according to, the sensor film that can set the sensitivity control, and monitoring system was implemented.

• The Journal of the Acoustical Society of Korea
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• v.22 no.1
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• pp.61-68
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• 2003

The guided wave has been widely employed to characterize thin plates and layered media. The dispersion curves of phase and group velocities are essential for the quantitative application of guided waves. In the present work, a fully automated system for the measurement of backward radiation of LLW has been developed. The specimen moves in two dimensional plane as well as in angular rotation. The signals of backward radiation of LLW were measured from an elastic plate in which specific modes of Lamb wave were strongly generated. Phase velocity of the corresponding modes was determined from the incident angle. The generated Lamb waves propagated forward and backward with the leakage of energy into water. Backward radiated LLW was detected by the same transducer and its frequency components were analyzed to extract the related information to the dispersion curves. The dispersion curves of phase velocity were measured by varying the incident angle. Moving the specimen in the linear direction of LLW propagation, group velocity was determined by measuring the transit time shift in the ultrasonic waveform.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.3
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• pp.571-578
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• 2018

The deteriorated pipline often causes the unexpected leakage and crack. Negligence and late maintenance leads the enormous damage for gas and water resource. This paper proposes early fault detection and diagnosis algorithm for pipeline using acoustic emission (AE) signals. Early fault detection method for pipeline compares the frequency amplitude of the spectrum to that of the spectrum in normal condition. Larger amplitude of the spectrum indicates abnormal condition. Early fault diagnosis algorithm uses support vector machines (SVM), which is trained for normal and abnormal conditions to diagnose the measured AE signal from the target pipeline. In the experiment, a pipeline testbed is constructed similarly to real industrial pipeline. Normal, 5mm cracked, 10mm holed pipelines are installed and tested in this study. The proposed fault detection and diagnosis technique is validated as an efficient approach to detect early faulty condition of pipeline.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.107-116
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• 2024

Copper Filter Dryer (CFD) are responsible for removing impurities from the circulation of refrigerant in refrigeration and cooling systems to maintain clean refrigerant, and defects in CFD can lead to product defects such as leakage and reduced lifespan in refrigeration and cooling systems, making quality assurance essential. In the quality inspection stage, human inspection and defect judgment methods are traditionally used, but these methods are subjective and inaccurate. In this paper, YOLOv7 object detection algorithm was used to detect defects occurring during the CFD Shaft pipe and welding process to replace the existing quality inspection, and the detection performance of F1-Score 0.954 and 0.895 was confirmed. In addition, the cause of defects occurring during the welding process was analyzed by analyzing the sensor data corresponding to the Timestamp of the defect image. This paper proposes a method for manufacturing quality assurance and improvement by detecting defects that occur during CFD process and analyzing their causes.