• 제목/요약/키워드: Defects

검색결과 8,536건 처리시간 0.03초

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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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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    • 제4권1호
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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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A New Inspection Method of PDP Electrode Pattern Defects

  • Kim, Taehong;Sunkyu Yang;Tak Eun;Park, Sehwa;Ilhong Suh
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.457-457
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    • 2000
  • The display module of PDP consists of a pair of fine electrode patterned panels. For example, in case of 42" PDP, thousands of electrode patterns should be placed on panel, where length, width, and height of each pattern m one meter, 50${\mu}{\textrm}{m}$, and 30${\mu}{\textrm}{m}$ respectively. And pitch between patterns is around 200${\mu}{\textrm}{m}$. Electrode patterns are frequently damaged during the production process, and thus might be broken. These breakage will result in open-circuited electrical characteristic of a pattern and/or open-circuited electrical characteristic between patterns. Therefore, inspection of pattern defects is the inevitable process to improve production yield rate of the panel. In this paper, we first review several types of PDP pattern defects which affects yield-rate of PDP. And, problems of inspecting such pattern defects by a typical inspection method is addressed. Then, a novel inspection method is proposed to overcome the difficulties, where some new components and the algorithm to detect the electrode defects are explored.ored.

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DNA damage to human genetic disorders with neurodevelopmental defects

  • Lee, Youngsoo;Choi, Inseo;Kim, Jusik;Kim, Keeeun
    • Journal of Genetic Medicine
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    • 제13권1호
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    • pp.1-13
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    • 2016
  • Although some mutations are beneficial and are the driving force behind evolution, it is important to maintain DNA integrity and stability because it contains genetic information. However, in the oxygen-rich environment we live in, the DNA molecule is under constant threat from endogenous or exogenous insults. DNA damage could trigger the DNA damage response (DDR), which involves DNA repair, the regulation of cell cycle checkpoints, and the induction of programmed cell death or senescence. Dysregulation of these physiological responses to DNA damage causes developmental defects, neurological defects, premature aging, infertility, immune system defects, and tumors in humans. Some human syndromes are characterized by unique neurological phenotypes including microcephaly, mental retardation, ataxia, neurodegeneration, and neuropathy, suggesting a direct link between genomic instability resulting from defective DDR and neuropathology. In this review, rare human genetic disorders related to abnormal DDR and damage repair with neural defects will be discussed.

자기 누설 신호와 SQI를 이용한 배관 결함 검출 (Pipeline Defects Detection Using MFL Signals and Self Quotient Image)

  • 김민호;노용우;최두현
    • 비파괴검사학회지
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    • 제30권4호
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    • pp.311-316
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    • 2010
  • 본 논문에서는 비파괴검사법 중 하나인 자기누설탐상검사법을 이용하여 지하에 매설된 가스 배관의 결함 위치를 검출하는 방법을 제안한다. 자기 누설 탐상 시스템을 통해 얻은 자기 누설 신호는 일반적으로 비선형성을 띄며 다양한 외부 요인으로 인한 신호의 왜곡이 심하다. 본 논문에서는 신호의 비선형성과 신호의 왜곡을 보정하는 신호 처리 기법 중 SQI(self quotient image)를 이용하여 배관 결함의 위치를 검출하였다. 실제로 제작된 모의시험 배관에 제작된 다양한 인공 결함에 대해 알고리즘을 적용한 결과 기존 DCT(discrete cosine transform) 계수 기반 방법에 비해 결함 검출 성능이 크게 향상됨을 확인하였다.

Bonded SOI wafer의 top Si과 buried oxide layer의 결함에 대한 연구 (Characteristic Study for Defect of Top Si and Buried Oxide Layer on the Bonded SOI Wafer)

  • 김석구;백운규;박재근
    • 한국재료학회지
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    • 제14권6호
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    • pp.413-419
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    • 2004
  • Recently, Silicon On Insulator (SOI) devices emerged to achieve better device characteristics such as higher operation speed, lower power consumption and latch-up immunity. Nevertheless, there are many detrimental defects in SOI wafers such as hydrofluoric-acid (HF)-defects, pinhole, islands, threading dislocations (TD), pyramid stacking faults (PSF), and surface roughness originating from quality of buried oxide film layer. Although the number of defects in SOI wafers has been greatly reduced over the past decade, the turn over of high-speed microprocessors using SOI wafers has been delayed because of unknown defects in SOI wafers. A new characterization method is proposed to investigate the crystalline quality, the buried oxide integrity and some electrical parameters of bonded SOI wafers. In this study, major surface defects in bonded SOI are reviewed using HF dipping, Secco etching, Cu-decoration followed by focused ion beam (FIB) and transmission electron microscope (TEM).

초저주파전원을 이용한 지중배전 전력케이블의 결함검출 (Defects Detection of the Underground Distribution Power Cables by Very Low Frequency Voltage Source)

  • 김주용;송일근
    • 조명전기설비학회논문지
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    • 제12권3호
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    • pp.45-50
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    • 1998
  • 본 논문은 기존의 지중배전케이블의 준공시험으로 사용되고 있는 DC시험을 대체 하기 위한 초저주파 전원의 적용결과로서, 실험실에서 제작한 5m 길이의 실제 케이블의 칼흠집 결함과 침결함에 대해 초저주파 전원의 결함검출 능력을 평가하였다. 이 시험에서 초저주파 시험은 케이블 절연체 내부에 존재하는 결함부위에서 전기트리 개시는 어렵지만, 일단 전기트리가 개시되면 트리의 진전이 매우 빠르고 내부결함이 검출되지 않는 경우, 시험으로 인한 새로운 결함이 형성되거나 결함이 더 확대되지 않는 것으로 나타났다. 따라서 초저주파전원은 지중배전선로의 현장시험용으로 적용되기보다는 제조업체의 품질검사 확인용으로 사용하는 것이 효과적이라 판단된다.

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Medpor Craniotomy Gap Wedge Designed to Fill Small Bone Defects along Cranial Bone Flap

  • Goh, Duck-Ho;Kim, Gyoung-Ju;Park, Jae-Chan
    • Journal of Korean Neurosurgical Society
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    • 제46권3호
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    • pp.195-198
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    • 2009
  • Objective : Medpor porous polyethylene was used to reconstruct small bone defects (gaps and burr holes) along a craniotomy bone flap. The feasibility and cosmetic results were evaluated. Methods : Medpor Craniotomy Gap Wedges, V and T, were designed. The V implant is a 10 cm-long wedge strip, the cross section of which is an isosceles triangle with a 4 mm-long base, making it suitable for gaps less than 4 mm after trimming. Meanwhile, the Medpor T wedge includes a 10 mm-wide thin plate on the top surface of the Medpor V Wedge, making it suitable for gaps wider than 4 mm and burr holes. Sixty-eight pterional craniotomies and 39 superciliary approaches were performed using the implants, and the operative results were evaluated with respect to the cosmetic results and pain or tenderness related to the cranial flap. Results : The small bone defects were eliminated with less than 10 minutes additional operative time. In a physical examination, there were no considerable cosmetic problems regarding to the cranial bone defects, such as a linear depression or dimple in the forehead, anterior temporal hollow, preauricular depression, and parietal burr hole defect. Plus, no patient suffered from any infectious complications. Conclusion : The Medpor Craniotomy Gap Wedge is technically easy to work with for reconstructing small bone defects, such as the bone gaps and burr holes created by a craniotomy, and produces excellent cosmetic results.

FUZZY SUPPORT VECTOR REGRESSION MODEL FOR THE CALCULATION OF THE COLLAPSE MOMENT FOR WALL-THINNED PIPES

  • Yang, Heon-Young;Na, Man-Gyun;Kim, Jin-Weon
    • Nuclear Engineering and Technology
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    • 제40권7호
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    • pp.607-614
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    • 2008
  • Since pipes with wall-thinning defects can collapse at fluid pressure that are lower than expected, the collapse moment of wall-thinned pipes should be determined accurately for the safety of nuclear power plants. Wall-thinning defects, which are mostly found in pipe bends and elbows, are mainly caused by flow-accelerated corrosion. This lowers the failure pressure, load-carrying capacity, deformation ability, and fatigue resistance of pipe bends and elbows. This paper offers a support vector regression (SVR) model further enhanced with a fuzzy algorithm for calculation of the collapse moment and for evaluating the integrity of wall-thinned piping systems. The fuzzy support vector regression (FSVR) model is applied to numerical data obtained from finite element analyses of piping systems with wall-thinning defects. In this paper, three FSVR models are developed, respectively, for three data sets divided into extrados, intrados, and crown defects corresponding to three different defect locations. It is known that FSVR models are sufficiently accurate for an integrity evaluation of piping systems from laser or ultrasonic measurements of wall-thinning defects.

FPGA 기반의 냉연강판 핀홀 검출 시스템 (FPGA based System for Pinhole Detection in Cold Rolled Steel)

  • 하성길;이정은;문우성;백광렬
    • 제어로봇시스템학회논문지
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    • 제21권8호
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    • pp.742-747
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    • 2015
  • The quality of steel plate products is determined by the number of defects and the process problems are estimated by shapes of defects. Therefore pinholes defects of cold rolled steel have to be controlled. In order to improve productivity and quality of products, within each production process, the product is inspected by an adequate inspection system individually in the lines of steelworks. Among a number of inspection systems, we focus on the pinholes detection system. In this paper, we propose an embedded system using FPGA which can detect pinholes defects. The proposed system is smaller and more flexible than a traditional system based on expensive frame grabbers and PC. In order to detect consecutive defects, FPGAs acquire two dimensional image and process the image in real time by using correlation of lines. The proposed pinholes detection algorithm decreases arithmetic operations of image processing and also we designed the hardware to shorten the data path between logics due to decreasing propagation delay. The experimental results show that the proposed embedded system detects the reliable number of pinholes in real time.