• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1055-1058
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• 2021

2019년 산업재해 현황 분석 결과 복장, 보호구의 잘못 사용으로 사고가 발생한 비율이 20%로 높은 비율을 차지했고, 전체 사고자 중 두부 손상을 입은 비율이 41%로 가장 높은 비율을 보였다[1]. 고용 노동부가 발표한 '건설현장 추락위험 일제점검 결과(2021.7)'에서는 안전모 미착용 근로자가 32.6%를 차지하였다[2]. 우리는 ICT기술을 활용해 안전모의 기능개선 가능성을 확인하였고, 안전사고를 예방하고, 빠르게 감지할 수 있는 스마트 안전모를 개발하고자 하였다. 그리고 본 연구를 통해 IoT 센서들과 딥러닝 영상분석을 이용한 스마트 안전모 서비스는 작업 전 부정착용 방지, 작업 중 위험감지, 사고 발생 시 빠른 감지를 통한 신속한 대처를 목표로 하여, 안전한 작업환경을 만들 수 있는 가능성을 제시하고자 한다.

• Proceedings of the Korean Vacuum Society Conference
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• 2011.08a
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• pp.238-238
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• 2011

Ion sensitive field effect transistor (ISFET)는 용액의 이온 농도를 측정하는 반도체 센서로, 1970년 Bergveld에 의해 처음으로 제안되었다. ISFET가 제안된 이래로, 제조공정이 간단하고 감지막의 감지 특성 평가가 용이한 electrolyte-insulator-semiconductor (EIS) pH센서 또한 지속적으로 연구되었다. EIS pH센서는 작은 소자 크기, 견고한 구조, 빠른 응답속도와 CMOS공정과의 호환성이 좋다는 장점이 있다. EIS 또는 ISFET 센서를 이용하여 생물학적 요소의 신호 감지 특성을 평가함에 있어 소자의 signal to noise 비율이 우수해야 한다. EIS pH센서의 높은 signal to noise 비율을 얻기 위해, 소자의 표면적을 증가시키거나 감지막으로 유전상수가 높은 물질을 사용하여 출력 특성을 향상시켜야 한다. 본 연구에서는 trench구조와 SiO2/HfO2/Al2O3 (OHA) 적층 감지막을 갖는 EIS pH센서를 제작하여 출력 특성을 증가시키는 실험을 실시하였다. 120 nm, 380 nm, 780 nm의 다양한 깊이를 가진 trench를 형성하였으며, trench 깊이에 따른 출력특성을 비교하였다. 또한, 제작된 EIS 소자의 pH감지 특성을 분석하였다. 제작된 EIS소자의 감지막 중 SiO2는 Si와 high-k물질의 계면 상태를 보완하기 위한 완충막으로 성장되었고, HfO2는 높은 유전상수를 가지고 있어 signal to noise 비율을 향상시키는 물질로 증착되었다. 최종적으로 Al2O3는 pH용액과의 화학적 손상을 막기 위한 물질로 증착되었다. 실험 결과, trench 깊이가 깊어질수록 출력값이 증가하였고 이는 signal to noise 비율이 향상되는 것을 의미한다. 결론적으로 trench 형성을 통한 표면적 증가와 high-k물질을 적층한 감지막으로 인해 높은 출력 특성을 갖는 우수한 EIS 바이오센서를 제작할 수 있었다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.15 no.1
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• pp.43-58
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• 2002

A methodology to nondestructively locate and estimate size of damage in beam-type structures using a few natural frequencies or a few mode shapes is presented. A damage-localization algorithm to locate damage from changes in natural frequencies and a damage-sizing algorithm to estimate crack-size from natural frequency perturbation are outlined. A damage index algorithm to localize and estimate severity of damage from monitoring changes in mode shapes is outlined. The frequency-based method and the mode-shape-based method are evaluated for several damage scenarios by locating and sizing damage in PS concrete beams lot which a few natural frequencies and mode shapes are generated from finite element models. The result of the analyses indicates that the two methods correctly localize and closely estimate the size of the crack simulated in the test beam.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.4 no.1
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• pp.139-144
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• 2000

This paper presents development of meander monitoring system base reliable detection at conveyer belt used for materials transport line of steel company. Conventional detection method is losed the confidence, because of the place with bad surroundings of measurement so much that materials production line are completely exposed to dust, moisture and vibration. For the solution of this problem, we developed infrared meander detection system using the infrared sensor array and one chip microprocessor which is available for bad surroundings and inexpensive. The reliability of the system was estimated by experiment.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.20 no.3
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• pp.272-278
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• 2010

A method for damage detection in a plate structure is presented based on strain waves that are generated by impact or damage in the structure. Strain responses from continuous sensors, which are long ribbon-like sensors made from piezoceramic fibers or other materials, were used with a neural network technique to estimate the damage location. The continuous sensor uses only a small number of channels of data acquisition and can cover large areas of the structure. A grid type structural neural system composed of the continuous sensors was developed for effective damage localization in a plate structure. The ratios of maximum strains and arrival times of the maximum strains obtained from the continuous sensors were used as input data to a neural network. Simulated damage localizations on a plate were carried out and the identified damage locations agreed reasonably well with the exact damage locations.

• Journal of the Earthquake Engineering Society of Korea
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• v.10 no.6 s.52
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• pp.57-65
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• 2006

This paper presents hybrid structural damage monitoring system which performs both global damage assessment of structure and damage detection of local structural joints. Hybrid damage monitoring system is composed of vibration-based technique and electro/mechanic impedance technique. Vibration-based technique detects global characteristic change ot structure using modal characteristic change of structure, and electro/mechanical impedance technique detects damage existence of local structural joints using impedance change of PZT sensor. For the verification of the proposed hybrid monitoring system, a series of damage scenarios are designed to loosened bolts situations of the structural joints, and acceleration response and impedance response signatures are measured. The proposed hybrid monitoring system is implemented to monitor global damage-state and local damages in structural joints.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.5A
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• pp.421-431
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• 2009

This paper is the study on the verification of structural health monitoring (SHM) algorithm based on the ultrasonic guided wave. An active inspection system using Lamb wave (LW) for SHM was considered. The basic study about the application of this algorithm was performed for detecting the circular notch defect in steel plate. LW testing technique, pitch-catch method, was used for interpretation of circular notch defect with depth of 50% of plate thickness and 7 mm width. Damage characterization takes place by comparing $S_0$ mode sensor signals collected before and after the damage event. By subtracting the signals of both conditions from each other, a scatter signal is produced which can be used for damage localization. The continuous Gabor wavelet transform is used to attain the time between the arrivals of the scatter and sensor signals. A new practical damage monitoring algorithm, based on damage monitoring polygon and pitch-catch method, has been proposed and verified with good accuracy. The possible damage location can be estimated by the average on calculated location points and the damage extent by the standard deviation.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.675-689
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• 2019

Development of smart construction materials with both self-strain and self-damage sensing capacities is still difficult because of little information about the self-damage sensing source. Herein, we investigate the effects of the matrix strength, fiber geometry, and fiber content on the electrical resistivity of steel-fiber-reinforced cement composites by multi-fiber pullout testing combined with electrical resistivity measurements. The results reveal that the electrical resistivity of steel-fiber-reinforced cement composites clearly decreased during fiber-matrix debonding. A higher fiber-matrix interfacial bonding generally leads to a higher reduction in the electrical resistivity of the composite during fiber debonding due to the change in high electrical resistivity phase at the fiber-matrix interface. Higher matrix strengths, brass-coated steel fibers, and deformed steel fibers generally produced higher interfacial bond strengths and, consequently, a greater reduction in electrical resistivity during fiber debonding.

• Journal of the Korean Society for Nondestructive Testing
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• v.35 no.5
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• pp.349-357
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• 2015

The piezoelectric paint sensor is a paint type sensor comprising of an epoxy and piezoelectric powder, which is the main component of a piezoelectric material. This sensor can be easily attached to any type of structure as compared to other sensors because it is viable to directly apply it on structures, as in the case with a typical paint. In this study, the capability of piezoelectric paint sensor for impact detection was evaluated. In Particular, the applications of the piezoelectric paint sensor for railroad vehicles were considered. There have been various cases reported about the damages caused by flying gravel to the under-cover of the railroad vehicle during operation. In order to prevent this, real-time monitoring of the large under-cover surface of the railroad vehicle is unavoidable. Under the assumption of vehicle application, sensor sensitivities were measured after multiple and prolonged exposure to thermal cycle environment $-20{\sim}60^{\circ}C$). Sensitivity evaluation of paint sensor under environmental conditions was conducted in an aluminum specimen. In results, despite the small variations in sensitivity, we could confirm the applicability of this paint sensor for impact detection even after a severe environmental exposure test.

• Composites Research
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• v.16 no.2
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• pp.68-73
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• 2003

Interfacial properties and electrical sensing fer fiber fracture in carbon and SiC fibers/epoxy composites were investigated by the electrical resistance measurement and fragmentation test. As fiber-embedded angle increased, the interfacial shear strength (IFSS) of two-type fiber composites decreased, and the elapsed time takes long until the infinity in electrical resistivity. The initial slope of electrical resistivity increased rapidly to the infinity at higher angle, whereas electrical resistivity increased gradually at small angle. Furthermore, both fiber composites with small embedded angle showed a fully-developed stress whitening pattern, whereas both composites with higher embedded angle exhibited a less developed stress whitening pattern. As embedded angle decreased, the gap between the fragments increased and the debonded length was wider for both fiber composites. Electro-micromechanical technique could be a feasible nondestructive evaluation to measure interfacial sensing properties depending on the fiber-embedded angle in conductive fiber reinforced composites.