• Title/Summary/Keyword: Detection of defect

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An Effective Application of AE Technique for the Detection of Defects in Steel Girder Bridges (강판형교에서의 효율적인 결함검출을 위한 AE기법의 적용)

  • Kim, Sang Hyo;Yoon, Dong Jin;Lee, Sang Ho;Kim, Hyung Suk;Park, Young Jin
    • Journal of Korean Society of Steel Construction
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    • v.9 no.3 s.32
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    • pp.287-300
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    • 1997
  • In this study, an effective application method of AE technique for the detection of fatigue crack in multi-girder steel bridges has been proposed. The applicability has been examined through the laboratory works with bridge model. The proposed analytical method which evaluates the remaining fatigue lives of structural members may improve the rational determination of the priority of inspection for structural members assuming to have fatigue cracks. Laboratory tests for the application of AE technique to steel girder bridges show that the frequency bands of traffic noise are in the range between 10 show that the frequency bands of traffic noise are in the range between 100~200 kHz and the AE signal raised from fatigue cracks is concentrated around 400~500 kHz. Therefore. R30 sensor is proved to be the most suitable for the detection of cracks in steel girder bridges. A linear proportionality between the crack propagation and the frequency of AE signals has been obtained. In addition, an economic and effective source location method for steel girder bridges was studied through experiments.

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Hybrid Detection Algorithm of Copy-Paste Image Forgery (Copy-Paste 영상 위조의 하이브리드 검출 알고리즘)

  • Choi, YongSoo;Atnafu, Ayalneh Dessalegn;Lee, DalHo
    • Journal of Digital Contents Society
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    • v.16 no.3
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    • pp.389-395
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    • 2015
  • Digital image provides many conveniences at the internet environment recently. A great number of applications, like Digital Library, Stock Image, Personal Image and Important Information, require the use of digital image. However it has fatal defect which is easy to be modified because digital image is only electronic file. Numerous digital image forgeries have become a serious problem due to the sophistication and accessibility of image editing software. Copy-Move forgery is the simplest type of forgery that involves copying portion of an image and paste it on different location within the image. There are many approaches to detect Copy-Move forgery, but all of them have their own limitations. In this paper, visual and invisible feature based forgery detection techniques are tested and analyzed. The analysis shows that pros and cons of these two techniques compensate each other. Therefore, a hybrid of visual based and invisible feature based forgery detection that combine the merits of both techniques is proposed. The experimental results show that the proposed algorithm has enhanced performance compared to individual techniques. Moreover, it provides more information about the forgery, like identifying copy and duplicate regions.

ASSESSMENT OF WALL-THINNING IN CARBON STEEL PIPE BY USING LASER-GENERATED GUIDED WAVE

  • Kim, Do-Youn;Cho, Youn-Ho;Lee, Joon-Hyun
    • Nuclear Engineering and Technology
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    • v.42 no.5
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    • pp.546-551
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    • 2010
  • The objective of this research is to estimate the crack location and size of a carbon steel pipe by using a laser ultrasound guided wave for the wall thinning evaluation of an elbow. The wall thinning of the carbon steel pipe is one of the most serious problems in nuclear power plants, especially the wall thinning of the carbon steel elbow caused by Flow-Accelerated Corrosion (FAC). Therefore, a non-destructive inspection method of elbow is essential for the nuclear power plants to operate safely. The specimens used in this study were carbon steel elbows, which represented the main elements of real nuclear power plants. The shape of the wall thinning was an oval with a width of 120mm, a length of 80mm, and a depth of 5mm. The L(0,1) and L(0,2) modes variation of the ultrasound guided wave signal is obtained from the response of the laser generation/air-coupled detection ultrasonic hybrid system represent the characteristics of the defect. The trends of these characteristics and signal processing were used to estimate the size and location of wall thinning.

The Analysis of VHF/UHF PD and 3d-PD Pattern (3d-PD 패턴과 VHF/UHF PD 신호의 고찰)

  • Lim, Jang-Seob;Park, Yong-Sik;Park, Byoung-Ha;Han, Sok-Kyun
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2001.05b
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    • pp.75-78
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    • 2001
  • Recently, the HFPD measurement testing is widely used in partial discharge measurement of HV machines because HFPD measurement testing receives less influence of external noise and has a merit of good sensitivity. Also HFPD testing is able to offer the judgement standard of degradation level of HV machine and can detect discharge signals in live-line. Therefore it is very useful method compare to previous conventional PD testing method and effective diagnosis method in power transformer that requires live-line diagnosis. But partial discharges have very complex characteristics of discharge pattern so it is required continuous research to development of precise analysis method. In recent, the study of partial discharge is carrying out discover of initial defect of power equipment through condition diagnosis and system development of degradation diagnosis using HFPD(High Frequency Partial Discharge) detection. In this study, simulated transformer is manufactured and HFPD occurred from transformer is measured with broad band antenna in real time, the degradation grade of transformer is analyzed through produced patterns in simulated transformer according to applied voltages.

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A RADIOGRAPHIC STUDY OF EXPERIMENTALLY PRODUCED BONE DEFECTS IN THE POSTERIOR WALL OF THE MAXILLARY SINUS (상악동 후벽의 실험적 골결손부에 관한 방사선학적 연구)

  • Choi Eui-Hwan;Park Won-Kyl
    • Journal of Korean Academy of Oral and Maxillofacial Radiology
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    • v.26 no.2
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    • pp.153-163
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    • 1996
  • The purpose of this study was to evaluate the ability of radiographs in detecting experimental bony defect in the posterior wall of the maxillary sinus. For this study, experimentally five skulls were used, the bony defects with a diameter of 5mm were created at different locations in the posterior wall of the right maxillary sinus and the bony defects of 10mm were created at different locations in the posterior wall of th maxillary sinus. Panoramic view, panoramic sinus view, water's view, and computed tomogram were taken and the results analyzed. The obtanined results were as follows: 1. The panoramic view was superior to the panoramic sinus view in detecting the bony defects in the posterior wall of the maxillary sinus. 2. Panoramic view, panoramic sinus view, and waters's view were limitation to the detection of the bony defects in the posterior wall of the maillary sinus. 3. All the bony defects in the posterior wall of the maxillary sinus were excellently visualized on the computed tomogram.

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Crack Detection and Sorting of Eggs by Image Processing (영상처리에 의한 계란의 파란 검출 및 선별)

  • Cho, H.K.;Kwon, Y.;Cho, S.K.
    • Korean Journal of Poultry Science
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    • v.22 no.4
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    • pp.233-238
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    • 1995
  • A computer vision system was built to generate images of a single, stationary egg. This system includes a CGD camera, a frame grabber, and incandescent back lighting system. Image processing algorithms were developed to inspect egg shell and to sort eggs. Those values of both gray level and area of dark spots in the egg image were used as criteria to detect holes in egg and those values of both area and roundness of dark spots in the egg image were used to detect cracks in egg. For a sample of 300 eggs, this system was able to correctly analyze an egg for the presence of a defect 97.5% of the time. The weights of eggs were found to be linear to both the projected area and the perimeter of eggs viewed from above. Those two values were used as criteria to sort eggs. The coefficients of determination(r$^2$) for the regression equations between weights and those two values were 0.967 and 0.972 in the two sets of experiment. Accuracies in grading were found to be 95.6% and 96.7% as compared with results from sizing by electronic weight scale.

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An experimental study on the readability of digital images in the furcal bone defects (디지털영상을 이용한 치근이개부 실험병소의 판독능에 관한 연구)

  • Kang Hyung-Wuk;Hwang Eui-Hwan;Lee Sang-Rae
    • Imaging Science in Dentistry
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    • v.33 no.2
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    • pp.71-77
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    • 2003
  • Purpose : To evaluate and compare the efficacy of digital radiographic images in the detection of bone loss at the bifurcation area of the mandibular first molar with traditional film-based periapical radiographs, Materials and Methods : One dried human mandible with minimal periodontal bone loss around the first molar was selected and an artificial alveolar bone defect at the bifurcation area was serially prepared over 18 steps. Images were taken using a direct CCD-based system and with F-speed periapical films. The images were evaluated by seven interpreters (3 radiologists, 3 periodontologists, and 1 general dentist) using a 5-point confidence rating scale. Results : The readability of both periapical radiographs and digital image increased as the size of the artificial lesion and exposure time increased (p < 0.05). Periapical radiographs offered greater readability of smaller bone defects than digital images, and the coefficient of variation of mean score between periapical radiographs and digital images showed a significant difference. Conclusion : The experimental results indicate that a significant difference in the coefficient of variation of mean score exists between periapical radiographs and digital images, and that traditional film-based periapical images offer greater readability of smaller bone defects than digital images can presently offer.

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A study on the Automatic Detection of the Welding Dimension Defect of Steel Construct using Digital Image Processing (디지털 화상처리에 의한 강.구조물의 용접부 치수 결함 검출의 자동화에 관한 연구)

  • Kim, Jae-Yeol;You, Sin;Park, Ki-Hyung
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.8 no.3
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    • pp.92-99
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    • 1999
  • The inspection unit which is developed and used in this study, is processed the shape data from the CCD camera to seek welding bite section shape, and then calculated as a real dimension from measuring the value of each inspection item. The reason of measuring with the real in this study is came out from the image method which used for a long time, which is extricated the characteristic as the dimension of pixel by recognize pixel. The measurement method of the section shape is that we decide the thresholding value after we drew the histogram to binarizate the object. After that, we make flat the object to get rid of the noise and measure the shape of welded part through the boundarization of the object. The shape measurement is that measure the value of the welding part to adapt the actual operation program from using the ratio between the actual dimension of the standard specimen and the dimension of image, to measure the ratio between the actual product and the camera image. The inspection algorithm which estimates the quality of welded product is developed and also, the software GUI(Graphic User Interface) which processes the automatic test function of the inspection system is developed. We make the foundation of the inspection automatic system and we will help to apply other welding machine.

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Nondestructive Internal Defects Evaluation for Pear Using NIR/VIS Transmittance Spectroscopy

  • Ryu, D.S.;Noh, S.H.;Hwnag, H.
    • Agricultural and Biosystems Engineering
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    • v.4 no.1
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    • pp.1-7
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    • 2003
  • Internal defects such as browning of the flesh and blackening and rot of the ovary of pear can be easily developed because of the inadequate environmental conditions during the storage and distribution of fruit. The quality assurance system for the agricultural product is to be settled in Korea. All defected agricultural products should be excluded prior to the distribution to enhance the commercial values. However, early stage on-line defect detection of agricultural product is very difficult and even more difficult in a case of the internal defects. The goal of this research is to develop a system that can detect and classify internal defects of agricultural produce on-line using VIS/NIR transmittance spectroscopy. And Shingo pear, which is one of the famous species of Korean pear, was used for the experiment. Soft independence modeling of class analogy (SIMCA) algorithm was employed to analyze the transmittance spectroscopic data qualitatively. On-line classification system was constructed and classification model was developed and validated. As a result, the correct classification rate (CCR) using the developed classification model was 96.1 %.

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Fault Diagnosis Device for Fire Prevention of the Resistance Heating Type three-Phase Electric Heater (3상 저항가열식 전기히터의 화재예방을 위한 결함 진단장치)

  • Lee, Mun-Hyung;Kim, Chan-O
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.11
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    • pp.1669-1674
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    • 2017
  • In this study, We have discussed the development of a diagnostic device to detect and prevent electrical fire due to the arc caused by contact failure and partial disconnection at the connection part of the three-phase electric heater wiring used in the industrial field. The arc caused by contact failure and partial disconnection at the connection part of the electric heater shows a change in the current effective value. Therefore, it is possible to determine whether there exists a defect by analyzing the current unbalance factor and the number of current fluctuations with the diagnostic apparatus. The three-phase unbalanced heater is considered to be capable of determining defects through periodic measurement and trend analysis of the current unbalance factor. It is also expected that this device can be used not only for electric heaters but also for detection of defects in wiring and connections of electrical equipment having a characteristic of constant load current.