• Title/Summary/Keyword: Defect length

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선천성 심장병 환아에서 음향학적 요소의 변동 (Acoustic variations associated with congenital heart disease)

  • 오정은;최윤미;김선준;주찬웅
    • Clinical and Experimental Pediatrics
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    • 제53권2호
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    • pp.190-194
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    • 2010
  • 목 적 : 애성 및 음성 변동은 심장병 환자에서 관찰될 수 있는데 이러한 음성 변동 정도를 음향학적 지표의 평가로 분석하여, 소아에서 선천성 심장병 종류에 따른 음성 변동을 음향학적 요소로 분석하고자 하였다. 방 법 : 수술 전 선천성 심장병 환아 94명을 연구 대상으로 하였고 심실 중격 결손, 동맥관 개존, 심방 중격 결손, 폐동맥 협착, 활로 사징이 포함되었으며, 음성 변동을 조사하기 위한 음향 지표 분석은 통증 자극을 통하여 얻어진 음성 자료를 multi-dimensional voice program system을 이용하여 평가하였다. 연구에 사용된 음향 지표로 average fundamental frequency, length of analyzed sample, jitter percent, shimmer, noise to harmonic ratio를 분석하였다. 결 과 : 음향 지표인 average fundamental frequency은 동맥관 개존, 심실 중격 결손, 활로 사징 경우에서 유의한 감소를 나타냈으며, length of analyzed sample은 연구 대상 선천성 심장병 환아에서 대조군에 비해 의미있는 차이를 나타내지 않았다. Jitter percent, shimmer, noise to harmonic ratio는 심실 중격 결손, 동맥관 개존, 심방 중격 결손에서 대조군에 비해 증가되었다. 이러한 음성 변동은 연구 대상 선천성 심장병 중 동맥관 개존에서 음도변이, 강도변이, 음성의 소음 정도가 가장 뚜렷하게 나타났으며, 동맥관 개존, 심실 중격 결손, 심방 중격 결손 순으로 그 음성 변동의 특징을 나타냈다. 결 론 : 수술 전 선천성 심장병 환아에서 음성을 음향학적 지표로 비교 분석한 결과 음향학적 지표들이 심장 질환의 유형별 차이를 보이는데 좌우 단락 심질환군에서 현저한 비정상적 음향학적 지표를 나타냈다.

적외선열화상 카메라를 이용한 원전 소구경 감육배관의 결함 검출 (Application Defects Detection in the Small-Bore Pipe Using Infrared Thermography Technique)

  • 윤경원;김동률;정현철;홍동표;김경석
    • 비파괴검사학회지
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    • 제33권1호
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    • pp.34-39
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    • 2013
  • 선행 연구에서 적외선열화상기법을 이용하여 원전 배관의 감육 결함을 측정하기 위하여, 4 inch 배관에 인공결함을 가공하여 이에 대한 결함 검출을 도출하였다. 본 논문에서는 선행연구에서 도출된 조건을 이용하여 원전 소구경 배관의 결함 검출 조건에 관한 연구를 수행하였다. 결함의 가공은 감육 길이, 원주방향 각도, 감육 깊이를 변화시켜서 결함 조건을 가공하였다. 사용된 장비는 IR camera와 1 kW용량의 halogen lamp 2개를 사용하였으며, halogen lamp와 대상 배관과의 거리를 1 m, 1.5 m, 2 m 순으로 변화시켜 실험을 수행하였다. 실험 결과의 분석을 위하여 온도분포데이터를 확보하고, 이를 분석하여 결함 길이를 측정하였다. 4 inch 배관의 인공결함은 2 m에서 측정 결과의 신뢰도가 높았으나, 소구경 배관은 1.5 m에서 결함이 명확하게 검출되었다.

근적외선 영상을 이용한 후지사과의 결점 검출에 관한 연구 (I) -결점의 광학적 특성 구명 및 유의파장 선정- (Defect Detection of ‘Fuji’ Apple using NIR Imaging(I) -Optical characteristics of defects and selection of significant wavelelength-)

  • 이수희;노상하
    • Journal of Biosystems Engineering
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    • 제26권2호
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    • pp.169-176
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    • 2001
  • Defect of apple was depreciated the product value and causes storage disease seriously. To detect the defect of ‘Fuji’apple with machine vision system, the optical characteristics of defect should be investigated. In this research, absorbance spectra of defect were acquired by spectrophotometer in the range of visible and NIR region(400∼1,100nm) and L*a*b* color values were also acquired by colorimeter. NIR machine vision system was constructed with B&W camera, frame grabber, 16 tungsten-halogen lamps, variable focal length lens and NIR bandpass filter which was mounted to lens outward. Average gray values of defect at 15 NIR wavelength were acquired and the significant NIR wavelength was selected by comparing Mahalanobis distance between sound and defective apple. As the result of Mahalanobis distance analysis, the significant wavelength to discriminate the defectives in ‘Fuji’apple were found to be 720nm for scab and 970nm for bruise and cuts and 920nm was also effective regardless of defective types.

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딥러닝 알고리즘을 이용한 3D프린팅 골절합용 판의 표면 결함 탐지 모델에 관한 연구 (A Study on Surface Defect Detection Model of 3D Printing Bone Plate Using Deep Learning Algorithm)

  • 이송연;허용정
    • 반도체디스플레이기술학회지
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    • 제21권2호
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    • pp.68-73
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    • 2022
  • In this study, we produced the surface defect detection model to automatically detect defect bone plates using a deep learning algorithm. Bone plates with a width and a length of 50 mm are most used for fracture treatment. Normal bone plates and defective bone plates were printed on the 3d printer. Normal bone plates and defective bone plates were photographed with 1,080 pixels using the webcam. The total quantity of collected images was 500. 300 images were used to learn the defect detection model. 200 images were used to test the defect detection model. The mAP(Mean Average Precision) method was used to evaluate the performance of the surface defect detection model. As the result of confirming the performance of the surface defect detection model, the detection accuracy was 96.3 %.

DEFECT DETECTION WITHIN A PIPE USING ULTRASOUND EXCITED THERMOGRAPHY

  • Cho, Jai-Wan;Seo, Yong-Chil;Jung, Seung-Ho;Kim, Seung-Ho;Jung, Hyun-Kyu
    • Nuclear Engineering and Technology
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    • 제39권5호
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    • pp.637-646
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    • 2007
  • An UET (ultrasound excited thermography) has been used for several years for a remote non-destructive testing in the automotive and aircraft industry. It provides a thermo sonic image for a defect detection. A thermograhy is based On a propagation and a reflection of a thermal wave, which is launched from the surface into the inspected sample by an absorption of a modulated radiation. For an energy deposition to a sample, the UET uses an ultrasound excited vibration energy as an internal heat source. In this paper the applicability of the UET for a realtime defect detection is described. Measurements were performed on two kinds of pipes made from a copper and a CFRP material. In the interior of the CFRP pipe (70mm diameter), a groove (width - 6mm, depth - 2.7mm, and length - 70mm) was engraved by a milling. In the case of the copper pipe, a defect was made with a groove (width - 2mm, depth - 1mm, and length - 110 mm) by the same method. An ultrasonic vibration energy of a pulsed type is injected into the exterior side of the pipe. A hot spot, which is a small area around the defect was considerably heated up when compared to the other intact areas, was observed. A test On a damaged copper pipe produced a thermo sonic image, which was an excellent image contrast when compared to a CFRP pipe. Test on a CFRP pipe with a subsurface defect revealed a thermo sonic image at the groove position which was a relatively weak contrast.

DETECTION AND CLASSIFICATION OF DEFECTS ON APPLE USING MACHINE VISION

  • Suh, Sang-Ryong;Sung, Je-Hoon
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.852-862
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    • 1996
  • This study was carried out to develop tools to detect defects of apple using machine vision. For the purpose, 6 kinds of frame for color images, R, G, B, h, S, and I frame, and a frame for near infra-red images (NIR frame) were tested first to select one which is useful to segment defect areas from apple images. After then, several methods to classify kind of defect for the segmented defect areas were developed and tested. Five kinds of apple defect -bruise , decay ,fleck worm hole and scar were investigated . The results are as follows: NIR frame was selected as the best one among the 7 kinds of image frame, and R, G and I frames showed favourable result to segment areas of apple defect. Various features of the segmented defect areas were measured to classify the defect areas. Eight kids of feature of the areas-size, roundness, axes length ratio, mean and variance of pixel values, variance of real part of spectrum, mean and variance of power spectrum resulted from spacial ourier transform were observed for the segmented defect areas in the selected 4 frames. then procedures to classify defects using the features were developed for the 4 frames and tested with 75-113 defects on apples. The test resulted that NIR and I frames showed high accuracies to classify the kind of defect as 77% and 76% , respectively.

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중탄소강의 피로크랙 개폐구의 특성 및 피로강도의 평가 (Evaluation of Fatigue Strength and Characteristics of Fatigue Crack Closure in SM35C Steel)

    • 한국생산제조학회지
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    • 제6권1호
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    • pp.45-50
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    • 1997
  • It is not clearly known how surface defects or inclusions of a medium carbon steel affect a fatigue strength. In this study, we used SM35C specimens with spheroidized cementite structure to eliminate dependence of micro structure of fatigue crack. The investigation was carried out by behavior of crack closure at non-propagation crack and effect of the fatigue limit according to the artificial defects size. Experimental findings are obtained as follows : (1) Fatigue crack initiation point of medium carbon steel with spheroidized cementite structure is at the surface defects. (2) Non-propagating crack length of smooth specimen is equal to the critical size of defect. (3) Considering the opening and closure behavior of fatigue crack, the defect shape results in various crack opening displacement, while it does not affects the fatigue limit level of medium carbon steel with spheroidized cementite structure. (4) The critical length of the non-propagation crack of smooth specimen is the same as critical size of defect in transient area which determines threshold condition in steel with spheroidized cementite structure.

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A Synthetic Chart to Monitor The Defect Rate for High-Yield Processes

  • Kusukawa, Etsuko;Ohta, Hiroshi
    • Industrial Engineering and Management Systems
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    • 제4권2호
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    • pp.158-164
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    • 2005
  • Kusukawa and Ohta presented the $CS_{CQ-r}$ chart to monitor the process defect $rate{\lambda}$ in high-yield processes that is derived from the count of defects. The $CS_{CQ-r}$ chart is more sensitive to $monitor{\lambda}$ than the CQ (Cumulative Quantity) chart proposed by Chan et al.. As a more superior chart in high-yield processes, we propose a Synthetic chart that is the integration of the CQ_-r chart and the $CS_{CQ-r}$chart. The quality characteristic of both charts is the number of units y required to observe r $({\geq}2)$ defects. It is assumed that this quantity is an Erlang random variable from the property that the quality characteristic of the CQ chart follows the exponential distribution. In use of the proposed Synthetic chart, the process is initially judged as either in-control or out-of-control by using the $CS_{CQ-r}$chart. If the process was not judged as in-control by the $CS_{CQ-r}$chart, the process is successively judged by using the $CQ_{-r}$chart to confirm the judgment of the $CS_{CQ-r}$chart. Through comparisons of ARL (Average Run Length), the proposed Synthetic chart is more superior to monitor the process defect rate in high-yield processes to the stand-alone $CS_{CQ-r}$ chart.

생비골 이식술을 이용한 장골 골결손의 재건 (Reconstruction of Long Bone Defect with Vascularized Fibular Graft)

  • 조창현;전철우;송원재;김성후;정덕환
    • Archives of Reconstructive Microsurgery
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    • 제15권1호
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    • pp.26-32
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    • 2006
  • Purpose: The purpose of this study was to evaluate the effectiveness of limb reconstruction and functional recovery using vascularized fibular graft in the treatment of extensive bone defect of long bone caused by various diseases. Materials and Methods: From september 1995 to March 2005, 21 patients with segmental bone defects were managed with vascularized fibular graft: 13 males and 8 females, aged 39 years on average (range, $8{\sim}65\;years$). The reconstructed site was the humerus in 9 patients, the femur in 5, the tibia in 4 and the forearm bone in 3. The length of bone defect ranged from $8{\sim}17\;cm$. Results: Twenty grafts were successful. The mean period to obtain radiographic bone union was 5.7 months on average. Conclusion: Fibular grafts allow the use of a segment of diaphyseal bone and of sufficient length to reconstruct most skeletal defects of the long bone. The vascularized fibular graft is indicated in patients with intractable nonunions where conventional bone grafting has failed or large bone defects.

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Endoscopic vacuum therapy for treatment of spontaneous and iatrogenic upper gastrointestinal defects

  • Kavea Panneerselvam;Jake S. Jacob;Ronald E. Samuel;Andy Tau;Gyanprakash A. Ketwaroo;Wasif M. Abidi;Robert J. Sealock
    • Clinical Endoscopy
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    • 제56권6호
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    • pp.754-760
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    • 2023
  • Background/Aims: Endoscopic vacuum therapy (EVT) can heal a variety of defects within the gastrointestinal (GI) tract via applying negative pressure, which reduces the defect size, aspirates the infected fluid, and promotes granulation tissue. Here we present our experience with EVT as it relates to both spontaneous and iatrogenic upper GI tract perforations, leaks, and fistulas. Methods: This retrospective study was conducted at four large hospital centers. All patients who underwent EVT between June 2018 and March 2021 were included. Data on multiple variables were collected, including demographics, defect size and location, number and intervals of EVT exchanges, technical success, and hospital length of stay. Student t-test and the chi-squared test were used to analyze the data. Results: Twenty patients underwent EVT. The most common defect cause was spontaneous esophageal perforation (50%). The most common defect location was the distal esophagus (55%). The success rate was 80%. Seven patients were treated with EVT as the primary closure method. The mean number of exchanges was five with a mean interval of 4.3 days between exchanges. The mean length of hospital stay was 55.8 days. Conclusions: EVT is a safe and effective initial management option for esophageal leaks and perforations.