• Proceedings of the Korea Electromagnetic Engineering Society Conference
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• 2001.11a
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• pp.291-295
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• 2001

지하탐사 레이더를 이용한 고 건축물의 목재 기등에 대한 비파괴 검사에 응용 가능성을 조사하였다. 실험실에 공동이 존재하는 목재 기둥을 마련하고, 자체 설계 및 제작한 안테나로 구성한 지하탐사 레이더 시스템을 이용하여 기둥 축 방향으로 안테나를 이동시키면서 펄스의 송수신 특성을 측정하였다. 측정에 사용한 펄스와 목재 기둥의 전기적 특성, 안테나, 급전선 등 레이더 시스템 전체를 3차원 FDTD로 모델링하였다. 측정과 동일한 상황에 대한 FDTD 해석결과와 측정자료가 부합됨을 입증하였다. 목재 기둥과 공동간의 낮은 유전율 차이도 쉽게 탐지할 수 있음을 보임으로써 향후 지하탐사 레이더를 고건축물의 비파괴 검사에 효과적으로 응용할 수 있음을 제시하였다.

• The Journal of Engineering Geology
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• v.2 no.2
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• pp.113-130
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• 1992

Groundwater in crystalline basement is controlled primarily by tectonic fractures. It is evident that the delineation of the heavily faulted area and/or fractures deeply developped should be considerable value in deep-seated low enthalphy geothermal water. Electrical and electromagnetic methods have effectively been employed to map hydraulic faults and shear zones for groundwater exploration. In this study VLi; dipoledipole resistivity, controlled source audio~frequency magneto-telluric(CSAMT) and magnetic methods were applied in the Bomun resort area, adjacent to Kyongju city, southeastern part of Korea. The integrated geophysical tools employed in this experiment can be manifested themselves as: 1. Magnetic high for granite intrusions which is more favorable for geothermal gradient increase in depth. 2. VLF cross-over trends for mapping linear shallow conductive fractures and shear zones. 3. Dipole-dipole resistivity distributions for the deep-seated(less than 500m in depth) fractures and shear zones. The dipole-dipole resistivity field data were inverted to the true resistivity distribution with two-dimensional automatic inversion program based on the finite-difference method. 4. CSAMT provides an efficient way of delineating fractures and fault zones if the depth is greater than about 500m.

• Journal of the Korean Society for Nondestructive Testing
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• v.34 no.1
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• pp.44-52
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• 2014

Leakage is an important factor to be considered for the management of underground water supply pipelines in a smart water grid system, especially if the pipelines are aged and buried under the pavement or various structures of a highly populated city. Because the exact detection of the location of such leaks in pipelines is essential for their efficient operation, a new methodology for leak location detection based on frequency band variation, windowing filters, and probability is proposed in this paper. Because the exact detection of the leak location depends on the precision of estimation of time delay between sensor signals due to leak noise, some window functions that offer weightings at significant frequencies are applied for calculating the improved cross-correlation function. Experimental results obtained by applying this methodology to an actual buried water supply pipeline, ~ 253.9 m long and made of cast iron, revealed that the approach of frequency band variation with those windows and probability offers better performance for leak location detection.

• Economic and Environmental Geology
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• v.36 no.6
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• pp.501-510
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• 2003

Several geophysical surveys(electrical resistivity, electromagnetic, seismic refraction, CPR) were conducted to primarily investigate the gallery and the geomembrane at an abandoned mine(Imcheon mine). The subsurface structure mapped from seismic refraction survey mainly consists of three velocity layers(>1000 m/s, 1000∼2000 m/s,＜2000 m/s). Top of the bedrock, whose velocities exceed 2000 m/s, appears to be at depth of 7.5∼10m. Higher resistivities (of ten thousands-hundred of thousands ohm-m) are interpreted to be associated with a open(cavities) gallery. The events at depth of approximately 0.5∼0.7m in GPR sections are probably caused by high-density-poly-ethylene geomembrane. Taking into consideration of the differences in the spatial resolution between georadar and electrical surveys, the events of geomembrane correspond to the top of the high resistivities at depth of about 2m. The segments, characterized with the higher conductivities in the electromagnetic data and the lower resistivities in the electrical resistivity data, are probably associated with surface water or tear zone of geomembrane.

• The Journal of Engineering Geology
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• v.5 no.2
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• pp.181-192
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• 1995

The discrimination studies between earthquakes and underground nuclear explosions have been carried out by various seismologists(Nuttli and Kim, 1976; Dahiman and Israelson, 1977; Masse, 1981). The discrimination between local microearthquakes and artificial underground explosions(epicentral distance not greater than 400Km), however, has not been actively studied so far in the light of seismological aspects. Futhermore this kind of research has never been performed in Korea even if it is of great importance for IAEA (International Atomic Energy Agency) to clearly analyze the military nuclear power of North Korea at present. This research has been carried out by using some of the artificial underground explosions(about 100 events) have occurred in North Korea for the last six years. The azimuths, apparent incidence angles, epicentral distances and locations are determined using a single station of 3 - component data. The detection, location and identification are performed through the polarization and the bandpass filtering. This technique can be also applied to study the inhomogeneous crustal structure finding the converted waves.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.401-401
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• 2019

상수관망시스템은 정수처리 된 용수를 수요처에 공급하는 사회기반시설물이며, 주로 지하에 매설되는 시설물의 특성상 관로에 누수가 발생하였을 경우, 정확한 발생지점을 파악하기가 어렵다. 특히, 지진에 의해 시스템 내 다중지점에 누수가 발생할 경우, 장기간 경제적 손실과 사용자의 불편이 예상되므로 신속히 누수지점을 파악한 후, 피해 관로의 적절한 교체 혹은 보수가 이루어져야 한다. 본 연구에서는 지진으로 인해 상수관망에 발생한 다중 누수관로의 정확한 탐지를 위해 다양한 누수탐지 기법을 제안하고 모의결과를 비교, 분석하였다. 가상의 다중 누수 시나리오를 모의한 후, 시스템 내 설치된 수압계와 유량계의 누수발생 전, 후 모니터링 값을 이용하여 1) 최적화 알고리즘을 이용한 Calibration 기법, 2) 수리해석을 통한 누수지점 역추적 기법, 3) 인공신경망을 이용한 Pattern 학습법 등을 적용하였다. 동일한 다중 누수 시나리오를 각 누수탐지 기법에 적용함으로써 누수지점 산정 결과에 대한 정확도를 비교, 분석하였다. 본 연구는 최근 국내에서 발생빈도가 높아지고 있는 지진재해 발생에 대비하여 상수관망시스템의 지진피해 복구 연구를 위해 활용될 수 있을 것으로 기대한다.

• Journal of the Korean Geophysical Society
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• v.6 no.4
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• pp.231-244
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• 2003

Lots of various utilities are buried under the surface of the earth. The effective handling of the underground utilities is becoming the big subject and project for the harmonious management and administration of the city. To detect the position and depth of buried underground utilities, GPR and Induced EM surveys are commonly used. However, they have limitations, such as shallow skin-depth and non-availability in the areas where subsurface materials are not homogeneous and are compose of clays and/or salts and gravels. The aim of this study is to find the efficient geophysical method which can overcome these limitations. For this purpose, various geophysical mehods were applied in the site of poor geotechnical environment.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.51-57
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• 2019

In this paper, we analyzed the performance of IoT based smart wearable mine detection device. There are various mine detection methods currently used by the military. Still, in the general field, mine detection is performed by visual detection, probe detection, detector detection, and other detection methods. The detection method by the detector is using a GPR sensor on the detector, which is possible to detect metals, but it is difficult to identify non-metals. It is hard to distinguish whether the area where the detection was performed or not. Also, there is a problem that a lot of human resources and time are wasted, and if the user does not move the sensor at a constant speed or moves too fast, it is difficult to detect landmines accurately. Therefore, we studied the smart wearable mine detection device composed of human body antenna, main microprocessor, smart glasses, body-mounted LCD monitor, wireless data transmission, belt type power supply, black box camera, which is to improve the problem of the error of mine detection using unidirectional ultrasonic sensing signal. Based on the results of this study, we will conduct an experiment to confirm the possibility of detecting underground mines based on the Internet of Things (IoT). This paper consists of an introduction, experimental environment composition, simulation analysis, and conclusion. Introduction introduces the research contents such as mines, mine detectors, and research progress. It consists of large anti-personnel mine, M16A1 fragmented anti-mine, M15 and M19 antitank mines, plastic bottles similar to mines and aluminum cans. Simulation analysis is conducted by using MATLAB to analyze the mine detection device implementation performance, generating and transmitting IoT signals, and analyzing each received signal to verify the detection performance of landmines. Then we will measure the performance through the simulation of IoT-based mine detection algorithm so that we will prove the possibility of IoT-based detection landmine.

• Journal of Korean Tunnelling and Underground Space Association
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• v.23 no.4
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• pp.253-263
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• 2021

Concrete structures are damaged by aging and external environmental factors. This type of damage is to appear in the form of cracks, to proceed in the form of spalling. Such concrete damage can act as the main cause of reducing the original design bearing capacity of the structure, and negatively affect the stability of the structure. If such damage continues, it may lead to a safety accident in the future, thus proper repair and reinforcement are required. To this end, an accurate and objective condition inspection of the structure must be performed, and for this inspection, a sensor technology capable of detecting damage area is required. For this reason, we propose a deep learning-based image processing algorithm that can detect spalling. To develop this, 298 spalling images were obtained, of which 253 images were used for training, and the remaining 45 images were used for testing. In addition, an improved loss function and data augmentation technique were applied to improve the detection performance. As a result, the detection performance of concrete spalling showed a mean intersection over union of 80.19%. In conclusion, we developed an algorithm to detect concrete spalling through a deep learning-based image processing technique, with an improved loss function and data augmentation technique. This technology is expected to be utilized for accurate inspection and diagnosis of structures in the future.

• Electronics and Telecommunications Trends
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• v.30 no.5
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• pp.22-27
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• 2015

도로함몰 사고 증가를 계기로 지하 구조물의 안전 관리 방법, 특히 비파괴 검사 장비에 대한 관심이 고조되고 있다. 지중투과 레이더 기술은 전자파의 투과, 반사 특성을 이용한 비파괴 검사 기술로써 투과 깊이, 투과 해상도 등 비파괴 검사 성능 측면에서 가장 주목받고 있는 기술이다. 본고에서는 지중투과 레이더 기술의 특징, 국외 제품 동향을 살펴본다.