• Smart Structures and Systems
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• 제30권4호
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• pp.385-395
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• 2022

Detecting cracks on a concrete structure is crucial for structural maintenance, a crack being an indicator of possible damage. Conventional crack detection methods which include visual inspection and non-destructive equipment, are typically limited to a small region and require time-consuming processes. Recently, to reduce the human intervention in the inspections, various researchers have sought computer vision-based crack analyses: One class is filter-based methods, which effectively transforms the image to detect crack edges. The other class is using deep-learning algorithms. For example, convolutional neural networks have shown high precision in identifying cracks in an image. However, when the objective is to classify not only the existence of crack but also the types of cracks, only a few studies have been reported, limiting their practical use. Thus, the presented study develops an image processing procedure that detects cracks and classifies crack types; whether the image contains a crazing-type, single crack, or multiple cracks. The properties and steps in the algorithm have been developed using field-obtained images. Subsequently, the algorithm is validated from additional 227 images obtained from an open database. For test datasets, the proposed algorithm showed accuracy of 92.8% in average. In summary, the developed algorithm can precisely classify crazing-type images, while some single crack images may misclassify into multiple cracks, yielding conservative results. As a result, the successful results of the presented study show potentials of using vision-based technologies for providing crack information with reduced human intervention.

• 비파괴검사학회지
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• 제29권2호
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• pp.162-170
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• 2009

고유가 및 에너지 문제 해결대책의 하나로 고부가가치 산업인 액화천연가스(LNG) 플랜트 건설시장에 대한 세계적 관심이 증대되고 있다. 본 논문은 선진국의 기술독점에 대응하기 위해 추진중인 우리나라의 위험도평가 기술개발 방안을 소개하기 위한 것이다. 먼저 위험도평가 기술을 정의한 후 국내외 기술의 특징 및 수준을 분석하였다. 기술분석 결과를 토대로 위험도평가 프로그램, 비파괴진단 신뢰도평가 기술, 안전기준 통합클래스 개발이라는 핵심 요소를 도출하였다. 이는 정보 기반의 융합기술로써, 다양한 설비 검사 및 진단분야의 데이터베이스와 인공지능형 최적화 기법을 탑재한 비파괴평가 시스템과 연계하여 LNG 플랜트 모듈화 및 효율성 개선을 위해 활용될 수 있다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.210-218
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• 2000

Since the SSC(soluble solid contents) and titratable acidity of fruit are highly concerned to the taste, the need for measuring them by non-destructive technology such as NIR(Visual and Near-infrared) spectroscopy is increasing. Specially, in order to grade the quality of each fruit with a sorter at sorting and packing facilities, technologies for online measurement satisfying the tolerance in terms of accuracy and speed should be developed. Many researches have been done to develop devices to measure the internal qualities of fruit such as SSC, titratable acidity, firmness, etc. with the VIS(Visual)/NIR(Near Infrared) reflectance spectra. The distributions of the SSC, titratable acidity, firmness, etc. are different with respect to the position and depth of fruit, and generally the VIS/NIR light can interact with fruit in a few millimeters of pathlength, and it is very difficult to measure the qualities of inner flesh of fruit. Therefore, to measure the average concentrations of each quality factor such as SSC and titratable acidity with the reflectance-type NIR devices, the spectra of fruit at several positions should be measured. Recently, the interest about the transmittance-type VIS/NIR devices is increasing. NIR light can penetrate through the fruit about 1/10-1/1,000,000 %. Therefore, very intensive light source and very sensitive sensor should be adopted to measure the transmitted light spectra of intact fruit. The ultimate purpose of this study was to develop a device to measure the transmitted light spectra of intact fruit such as apple, pear, peach, etc. With the transmittance-type VIS/NIR device, the feasibility of measurement of the SSC and titratable acidity in intact fruit cultivated in Korea was tested. The results are summarized as follows; A simple measurement device which can measure the transmitted light spectra of intact fruit was constructed with sample holder, two 500W-tungsten halogen lamps, a real-time spectrometer having a very sensitive CCD array sensor and optical fiber probe. With the device, it was possible to measure the transmitted light spectra of intact fruit such as apple, pear and peach. Main factors affecting the intensity of transmitted light spectra were the size of sample, the radiation intensity of light source and the integration time of the detector. Sample holder should be designed so that direct light leakage to the probe could be protected. Preprocessing method to the raw spectrum data significantly influenced the performance of the nondestructive measurement of SSC and titratable acidity of intact fruit. Representative results of PLS models in predicting the SSC of peach were SEP of 0.558 Brix% and R2 of 0.819, and those in predicting titratable acidity were SEP of 0.056% and R2 of 0.655.

• 한국지구물리탐사학회:학술대회논문집
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• 한국지구물리탐사학회 2004년도 정기총회 및 제6최 특별 심포지움
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• pp.138-156
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• 2004

석탑의 안전진단을 위하여 석탑상부의 무게를 지탱하며 하중을 지반으로 전달하는 기단부 내부의 형태파악은 필수적이며 이를 위하여 레이다 탐사(GPR)를 적용하였다. 기단부의 면석의 모양파악을 위하여 일반적인 GPR 탐사에 적용하는 monostatic 배열을 이용하여 획득한 수치 시뮬레이션 자료, 축소모형실험자료, 석탑자료에 구조보정을 적용하여 정확한 면석의 두께와 형태의 파악이 가능함을 알 수 있었다. 구조보정을 위한 속도측정은 외부에서 확인 가능한 경계면을 이용하거나, 탑신이나 갑석 등의 균질한 석재로 이루어져서 송/수신이 분리된 안테나를 이용하여 투과파의 속도를 측정하는 방식을 이용하였다. 기단부 내부의 형태파악을 위하여 탄성파 탐사에서 많이 적용되는 주시토모그래피 기법을 이용하여 영상화하였다. 3${\~}$5m내외의 석탑에서 투과파 획득을 위하여 500${\~}$900MHz의 주파수 대역이 필요함을 수치 시뮬레이션을 통하여 알 수 있었으며, 이러한 주파수 대역의 안테나를 이용하여 실제 석탑(3m내외)에서 투과파의 획득이 가능하였다. 여러 축소모형을 수행하여 주시토모그래피 기법을 적용한 결과 인공적으로 제작한 내부의 공기층의 위치와 속도를 확인할 수 있었고, 내부 매질의 변화에 따른 전파속도를 측정할 수 있었다. 이러한 내부 물성치와 형태는 석탑안전진단을 위한 기본 자료로 활용이 가능할 것이다.

• 한국전자통신학회논문지
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• 제9권1호
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• pp.25-32
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• 2014

암각화는 문자가 있기전에 선사시대의 공동체를 이해하는데 핵심적인 역할을 하기 때문에 전 세계적으로 매우 중요한 문화유산이다. 요즘 3D 데이터는 미래세대에게 물려줄 수 있는 중요한 문화유산의 모양을 영구 기록하는데 필수적인 요소이다. 최근의 3D스캐닝 기술은 매우 사실적인 3D 모델생성이 가능하기 때문에 체험자를 3D세계로 끌어드릴수 있는 가상현실 박물관 전시에 활용될 수 있다. 본 연구에서는 새로운 동작인식 방법에 기반한 3D암각화 VR(Virtual Reality) 콘텐츠를 구현하였다. 제안된 동작인식방법은 3차원 깊이센서를 이용하여 얻어진 체험자의 움직임을 정의된 동작과 비교함으로써 동작을 인식한다. 또한 정밀하고 비파괴적인 수단으로서 3D스캐닝 기술을 이용하여 3D 암각화 데이터를 기록하기 위한 새로운 접근방법을 제안한다.

• Smart Structures and Systems
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• 제22권4호
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• pp.481-493
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• 2018

Ultrasonic guided waves have attracted increasing attention for non-destructive testing (NDT) and structural health monitoring (SHM) of bridge cables. They offer advantages like single measurement, wide coverage of acoustical field, and long-range propagation capability. To design defect detection systems, it is essential to understand how guided waves propagate in cables and how to select the optimal excitation frequency and mode. However, certain cable characteristics such as multiple wires, anchorage, and polyethylene (PE) sheath increase the complexity in analyzing the guided wave propagation. In this study, guided wave modes for multi-wire bridge cables are identified by using a semi-analytical finite element (SAFE) technique to obtain relevant dispersion curves. Numerical results indicated that the number of guided wave modes increases, the length of the flat region with a low frequency of L(0,1) mode becomes shorter, and the cutoff frequency for high order longitudinal wave modes becomes lower, as the number of steel wires in a cable increases. These findings were used in design of transducers for defect detection and selection of the optimal wave mode and frequency for subsequent experiments. A magnetostrictive transducer system was used to excite and detect the guided waves. The applicability of the proposed approach for detecting and locating wire breakages was demonstrated for a cable with 37 wires. The present ultrasonic guided wave method has been found to be very responsive to the number of brokenwires and is thus capable of detecting defects with varying sizes.

• Steel and Composite Structures
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• 제33권3호
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• pp.445-461
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• 2019

The ultrasonic guided wave-based technique has become one of the most promising methods in non-destructive evaluation and structural health monitoring, because of its advantages of large area inspection, evaluating inaccessible areas on the structure and high sensitivity to small damage. To further advance the development of damage detection technologies using ultrasonic guided waves for the inspection of welded components in structures, the transmission characteristics of the ultrasonic guided waves propagating through welded joints with various types of defects or damage in steel plates are studied and presented in this paper. A three-dimensional (3D) finite element (FE) model considering the different material properties of the mild steel, high strength steel and austenitic stainless steel plates and their corresponding welded joints as well as the interaction condition of the steel plate and welded joint, is developed. The FE model is validated against analytical solutions and experimental results reported in the literature and is demonstrated to be capable of providing a reliable prediction on the features of ultrasonic guided wave propagating through steel plates with welded joints and interacting with defects. Mode conversion and scattering analysis of guided waves transmitted through the different types of weld defects in steel plates are performed by using the validated FE model. Parametric studies are undertaken to elucidate the effects of several basic parameters for various types of weld defects on the transmission performance of guided waves. The findings of this research can provide a better understanding of the transmission behaviour of ultrasonic guided waves propagating through welded joints with defects. The method could be used for improving the performance of guided wave damage detection methods.

• 한국압력기기공학회 논문집
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• 제16권2호
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• pp.1-9
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• 2020

Large-scale industrial facility structures continue to deteriorate due to the effects of operating and environmental conditions. The problems of these industrial facilities are potentially causing economic losses, environmental pollution, casualties, and national losses. Accordingly, in order to prevent disaster accidents of large structures in advance, the necessity of diagnosing structures using non-destructive inspection techniques is being highlighted. The defect occurrence, location and defect type of the structure are important parameters for predicting the remaining life of the structure, so continuous defect observation is very important. Recently, many researchers have been actively researching real-time monitoring technology to solve these problems. Structure Health Monitoring Inspection is a technology that can identify and respond to the occurrence of defects in real time, but there is a limit to check the degree of defects and the direction of growth of defects. In order to compensate for the shortcomings of these technologies, the importance of defect imaging techniques is emerging, and in order to find defects in large structures, a method of inspecting a wide range using guided ultrasonic is effective. The work presented here introduces a calculation for the shape factor for evaluation of the damaged area, as well as a variable β parameter technique to correct a damaged shape. Also, we perform research in modeling simulation and an experiment for comparison with a suggested inspection method and verify its validity. The curved structure image obtained by the advanced RAPID algorithm showed a good match between the defect area and the shape.

• 한국지반공학회논문집
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• 제21권4호
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• pp.5-12
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• 2005

최근 물리탐사 분야에서는 토목 및 환경 분야에 적용을 목적으로 하는 정밀 물리탐사가 새로운 개척분야로 급부상하고 있다. 이는 측정장비의 정밀화, 컴퓨터의 대용량화 등과 같은 기술적 용인과 국내외적으로 증대되고 있는 환경오염의 조사 기술 및 각종 지반사고예방 기술의 개발에 대한요구와 같은 사회적 요인에 기인한다. 이러한 사회적 요구에 맞추어 현장타설 말뚝의 건전도 시험법에 대한 관심이 증대되고 있으며, 정밀한 시험법이 요구되고 있다. 특히 비파괴검사의 방법 중 초음파를 이용한 시험법은 매우 실용적이다. 초음파를 이용한 파일건전도 시험법에 Geotomography 기법을 적용하여 현장타설 말뚝 내부를 영상화함으로써 보다 정밀한 자료를 통하여 구조물의 안전성 판단에 정확도를 기하고자 하였다. 본 연구에서는 이상모델을 설정하여 토모그래피 프로그램의 정확성을 점검하였고, 수조실험을 통하여 인위적으로 이상체 형태와 위치를 변화기시켰으며, 최종적으로 실제 콘크리트 파일 모형을 제작하여 파일 내부의 이상체를 영상화하였다. 실험의 결과 모형 파일 내부의 영상화를 통해 이상체의 위치를 비교적 정확하게 확인할 수 있었다.

• The Plant Pathology Journal
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• 제34권5호
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• pp.381-392
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• 2018

Clavibacter michiganensis subsp. michiganesis (Cmm) is a quarantine-worthy pest in $M{\acute{e}}xico$. The implementation and validation of new technologies is necessary to reduce the time for bacterial detection in laboratory conditions and Raman spectroscopy is an ambitious technology that has all of the features needed to characterize and identify bacteria. Under controlled conditions a contagion process was induced with Cmm, the disease epidemiology was monitored. Micro-Raman spectroscopy ($532nm\;{\lambda}$ laser) technique was evaluated its performance at assisting on Cmm detection through its characteristic Raman spectrum fingerprint. Our experiment was conducted with tomato plants in a completely randomized block experimental design (13 plants ${\times}$ 4 rows). The Cmm infection was confirmed by 16S rDNA and plants showed symptoms from 48 to 72 h after inoculation, the evolution of the incidence and severity on plant population varied over time and it kept an aggregated spatial pattern. The contagion process reached 79% just 24 days after the epidemic was induced. Micro-Raman spectroscopy proved its speed, efficiency and usefulness as a non-destructive method for the preliminary detection of Cmm. Carotenoid specific bands with wavelengths at 1146 and $1510cm^{-1}$ were the distinguishable markers. Chemometric analyses showed the best performance by the implementation of PCA-LDA supervised classification algorithms applied over Raman spectrum data with 100% of performance in metrics of classifiers (sensitivity, specificity, accuracy, negative and positive predictive value) that allowed us to differentiate Cmm from other endophytic bacteria (Bacillus and Pantoea). The unsupervised KMeans algorithm showed good performance (100, 96, 98, 91 y 100%, respectively).