• Title/Summary/Keyword: Defect

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Sequential Defect Region Segmentation according to Defect Possibility in TFT-LCD Image (TFT-LCD영상에서 결함 가능성에 따른 순차적 결함영역 분할)

  • Chang, Chung Hwan;Lee, SeungMin;Park, Kil-Houm
    • Journal of Korea Multimedia Society
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    • v.23 no.5
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    • pp.633-640
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    • 2020
  • Defect region segmentation of TFT-LCD images is performed by combining defect pixels detected by a defect detection method into defect region, or by using morphological operations to segment defect region. Therefore, the result of segmentation of the defect region is highly dependent on the defect detection result. In this paper, we propose a method which segments defect regions sequentially according to the possibility of being included in defect regions in TFT-LCD images. The proposed method repeats the process of detecting a seed using the median value and the median absolute deviation of the image, and segments the defect region using the seeded region growing method. We confirmed the superiority of the proposed method to segment defect regions using pseudo-images and real TFT-LCD images.

Field Investigation Work Modeling on Defect Inspecting Step of Defect Consulting in Apartment Building of Korea (공동주택 하자감정을 위한 하자조사단계의 현장조사 업무 모델링)

  • Park, Jun-Mo;Seo, Deok-Suk
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2015.11a
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    • pp.87-88
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    • 2015
  • A defect dispute surrounding an apartment building is in constant trouble, a defect consulting is necessary that objective and impartial for solving a defect. The defect dispute about a defect lawsuit is conducted in the order that filling of lawsuit, consulting order, defect inspecting, estimating a repairing cost, writing a consulting report, submitting a consulting report, and decision by court. Of these, a step of defect inspecting is extensively investigated an occurred defect that each defect index and type from each part and place. At this time, it is collected of many data and created many information. For this, it need to organize and manage. The study is a modeling of field investigation work process that second phase of defect inspecting step. A literature study is defined a work until level 2. This study is defined the work until level 3 to 4. In addition, the modeling can do for using a job name, a place to job, a job to do, and a person concerned about defect consulting case. The modeling is expected a contribution of improving a defect consulting process and systematizing a judgment standard.

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Effect of Small Surface Defects in the Starting Material on Product Quality after Drawing (원소재의 미소 표면결함이 인발공정에 미치는 영향)

  • Nam, C.H.;Lee, I.K.;Lee, J.K.;Joun, M.S.
    • Transactions of Materials Processing
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    • v.23 no.3
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    • pp.159-163
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    • 2014
  • In the current study, the effect of small surface defects in the starting material including roughness, indentations, or scratches, which are perpendicular to the direction of drawing, on the product quality is investigated using the finite element method. An axisymmetric defect is assumed. Such defects are defined by a cylindrical defect area and two tapered regions connecting the defect area to the non-defective area of the material. Various conditions for these initial surface defects are considered, including defect depth, defect slope and defect length. To describe the plastic deformation of the defect in detail during the simulation, local remeshing is applied. Based on the finite element results, defect disappearance maps were generated. It was found that defect disappearance is significantly dependent on the defect depth and the defect length coupled with the defect slope.

A Comparative Study on Deep Learning Models for Scaffold Defect Detection (인공지지체 불량 검출을 위한 딥러닝 모델 성능 비교에 관한 연구)

  • Lee, Song-Yeon;Huh, Yong Jeong
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.2
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    • pp.109-114
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    • 2021
  • When we inspect scaffold defect using sight, inspecting performance is decrease and inspecting time is increase. We need for automatically scaffold defect detection method to increase detection accuracy and reduce detection times. In this paper. We produced scaffold defect classification models using densenet, alexnet, vggnet algorithms based on CNN. We photographed scaffold using multi dimension camera. We learned scaffold defect classification model using photographed scaffold images. We evaluated the scaffold defect classification accuracy of each models. As result of evaluation, the defect classification performance using densenet algorithm was at 99.1%. The defect classification performance using VGGnet algorithm was at 98.3%. The defect classification performance using Alexnet algorithm was at 96.8%. We were able to quantitatively compare defect classification performance of three type algorithms based on CNN.

The Defect Diagnosis Process Model Utilizing BPMN Modeling Method in the Apartment Housing (BPMN 모델링 방식을 활용한 공동주택 하자진단 업무프로세스 모델)

  • Jung, Ryeo-Won;Kim, Kyung-Hwan;Lee, Jeong-Seok;Kim, Jae-Jun
    • Journal of the Korean housing association
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    • v.26 no.2
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    • pp.67-79
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    • 2015
  • As the Korean construction market in the apartment housing has changed to a housing consumer focused market, interest and importance on efficient use and management on existing buildings has increased rather than demand for new buildings. Interest of housing consumers on apartment house quality has increased in this market paradigm, and this spontaneously is connected to quality flaw related defect disputes and lawsuits that the importance of defect diagnosis has continuously increased. This defect diagnosis is directly connected to maintenance charges in defect dispute and lawsuit processes that rather objective and highly credible progress of duty is required. However, most defect diagnosis firms today that progress defect diagnosis are using different diagnosis methods and depend on the experience of experienced professionals that there is no standardized defect diagnosis process. Therefore, the purpose of this study is to provide common defect diagnosis process model for defect diagnosis firms utilizing the BPMN (Business Process Modeling Notation) modeling method. It is expected that this will contribute to professional and reliable task performances of concerned defect diagnosis workers. Furthermore, it is expected that design lawsuit damage will be substantially reduced by standardizing defect diagnosis processes.

Analytic study of 4~10 years Defect Deposite Use State based on Actual Data after moving in apartment complex (4~10년차 실적자료에 근거한 공동주택 하자보수 보증금의 사용실태 분석연구)

  • Seo, Deok-Seok;Jeon, Myeong-Soo;Lee, Eun-Hee
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2011.11a
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    • pp.153-154
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    • 2011
  • In Korea, the apartment supplier should satisfy the apartment residents' demand on the defect repair found in apartment housing by the law of Management of Apartment Complexs. But in the cost of defect repair, not only the actual defect repair cost, but also the cost of residents' complains are contained. So in this analytic study, the actual use state of defect deposite during 4~10 years after moving in are analysed base on actual data of 15 apartment complexes. In this study, about 66% of defect repair deposites are used to actual defect repair and only 34% of defect repair cost are spent to satisfy the demand of apartment residents'.

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A Study on Real-Time Defect Detection System Using CNN Algorithm During Scaffold 3D Printing (CNN 알고리즘을 이용한 인공지지체의 3D프린터 출력 시 실시간 출력 불량 탐지 시스템에 관한 연구)

  • Lee, Song Yeon;Huh, Yong Jeong
    • Journal of the Semiconductor & Display Technology
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    • v.20 no.3
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    • pp.125-130
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    • 2021
  • Scaffold is used to produce bio sensor. Scaffold is required high dimensional accuracy. 3D printer is used to manufacture scaffold. 3D printer can't detect defect during printing. Defect detection is very important in scaffold printing. Real-time defect detection is very necessary on industry. In this paper, we proposed the method for real-time scaffold defect detection. Real-time defect detection model is produced using CNN(Convolution Neural Network) algorithm. Performance of the proposed model has been verified through evaluation. Real-time defect detection system are manufactured on hardware. Experiments were conducted to detect scaffold defects in real-time. As result of verification, the defect detection system detected scaffold defect well in real-time.

TFT-LCD Defect Blob Detection based on Sequential Defect Detection Method (순차적 결함 검출 방법에 기반한 TFT-LCD 결함 영역 검출)

  • Lee, Eunyoung;Park, Kil-Houm
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.2
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    • pp.73-83
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    • 2015
  • This paper proposes a TFT-LCD defect blob detection algorithm using the sequential defect detection method. First, for every pixel, a defect possibility is determined by the intensity difference and the defect candidates are detected according to the sequential defect detection method. For detected candidate pixels, the defect probability that indicates a potential included in the defect according to the each step. By applying the morphological operation, blobs are comprised of the detected candidates and the defect blobs are detected using the defect possibility of blobs. The validity of the proposed method was demonstrated a simulated image and also then it was tested a real TFT-LCD image. By the experimental results, the proposed method is very effective in TFT-LCD detect detection.

A study on management and judgement of defect-repair in private housing construction company (민간 주택건설회사의 하자보수에 대한 인식 및 실태에 관한 연구)

  • 윤정숙
    • Journal of the Korean Home Economics Association
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    • v.33 no.5
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    • pp.143-151
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    • 1995
  • The purpose of this study is to suggest a defect-repair management and judgement of apartment housing for the private housing construction company. The objectives are : 1) to investigate how the defect-repair were managed and 2) to suggest the range, period of defect-repair and the proper managial size of housing company. Data were collected by the interviews from the heads of management departments of housing construction companies. Twenty-one companies selected were divided into three groups according to the amount of housing supply. Major result were as follows : 1) departments of defect-repair in housing construction company are divided into sub-system according to the size of housing supply. 2) the judgement of the range and period of defect-repair are extracted. They are, according to the order of their importance, constructional defect, functional defect, aesthetical defect and the defect in use.

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The effect of the surface defect from micro-hole for fatigue strength (피로강도에 대한 표면미소 결함의 영향)

  • 오환섭
    • Journal of the korean Society of Automotive Engineers
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    • v.11 no.1
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    • pp.51-56
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    • 1989
  • This study was performed to investigate the effect of defect on fatigue strength under the stress of rotary bending. The specimens were made of low carbon steel having artificial microholes, namely, single micro-hole and two adjacent micro-holes as natural defects, and the effects of the diameter of hole and the distance between the holes on fatigue strength have been investigated. The obtained result can be summarized as follows: 1, The critical defect means the largest size of defect that does not affect fatigue limit, and correspondes to the size of defect leading to final fracture under fatigue limit of smooth specimen. The size of defect which has an effect on fatigue limit is larger than that of critical defect. 2, The defect larger than the critical defect affects fatigue strength for as a kind of size effect, and the physical meaning of size effect of defect is considered same as the one of notch effect.

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