• 제목/요약/키워드: Pre Inspection

검색결과 300건 처리시간 0.029초

교류 급전시스템 성능검증을 위한 시험방안에 관한 연구 (A Study on tests process for verification of AC Traction system performance)

  • 정호성;이기원;김주락;한문섭;김진희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.2202-2203
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    • 2011
  • AC substation of urban transit supplies a suitable AC power on electricity vehicles. AC substation is verified electrical safety of system through pre-operation inspection on electrical installations to be supplied power from KEPCO. However, because test items and method for AC traction system are unprepared on pre-operation inspection, the general safety and performance verification of AC traction system are very insufficient. Therefore this paper analyze the test examples such as factory equipment tests, factory combined tests and railway tests for the safety and performance verification of AC traction system and present a suitable test items and test standard in domestic.

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TFT-LCD 패널의 자동 결함 검출을 위한 주파수영역 전처리 (Frequency Domain Pre-Processing for Automatic Defect Inspection of TFT-LCD Panels)

  • 김현도;남승욱
    • 전기학회논문지
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    • 제57권7호
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    • pp.1295-1297
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    • 2008
  • Large-sized flat-panel displays are widely used for PC monitors and TV displays. In this paper, frequency domain pre-filter algorithms are presented for detection of defects in large-sized Thin Film Transistor-Liquid Crystal Display(TFT-LCD) panel surfaces. Frequency analysis with 1-D, 2-D FFT methods for extract the periodic patterns of lattice structures in TFT-LCD is performed. To remove this patterns, frequency domain band-stop filters were used for eliminating specific frequency components. In order to acquire only defected images, 2-D inverse FFT methods to inverse transform of frequency domain images were used.

직류 급전시스템 성능검증을 위한 시험방안 분석 (An analysis of tests process for verification of DC Traction system performance)

  • 정호성;한문섭;장동욱;이기원
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2008년도 춘계학술대회 논문집
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    • pp.499-504
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    • 2008
  • DC substation of urban transit supplies a suitable DC power on electricity vehicles by being supplied from KEPCO. DC substation is verified electrical safety of system through pre-operation inspection on electrical installations to be supplied power from KEPCO. However, because test items and method for DC traction system are unprepared on pre-operation inspection, the general safety and performance verification of DC traction system are very insufficient. Therefore this paper analyze the overseas test examples such as factory equipment tests, factory combined tests and railway tests for the safety and performance verification of DC traction system and present a suitable test items and test standard in domestic.

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자가용전기설비의 사용전 자율검사제도 도입추진방안 (Research on Pre-service Inspection on Electrical Installations for Private Use based on Self-reliance)

  • 김한영;류기현;황민수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 전기설비
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    • pp.112-114
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    • 2005
  • It is obvious that electrical safety cannot be secured soley by the efforts from public sector including government. With the global trend of deregulation as WTO/TBT agreement comes into effect, foreign countries strive to minimize unnecessary and inefficient regulations in every field by sharing responsibilities with the privae sector to secure international competency in trade. To this same end, in this paper 2 level approach plan is suggested to pave the way to the self-security system in electrical field by introducing self-reliance safety system by stage for pre-service inspection on the electrical installations for private use based on product requirements in terms of performance.

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방사선 영상을 이용한 탄약신관 안전상태 자동인식기술 개발 (Automatic Safety Inspection Technique for Ammunition Fuzes using Radiographic Images)

  • 안지연
    • 한국군사과학기술학회지
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    • 제18권3호
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    • pp.283-292
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    • 2015
  • This paper presents the development of the automatic safety inspection technique for the ammunition fuzes using radiography images. The technique inspects 49-ammunition fuze by detecting the X-ray or neutron radiographic images to check whether the fuze is unintendedly armed or/and some major assembled parts are at right place. To execute the program, we loads the image(s) for under test. After reading images, the program conducts a series of pre-image processing, and then starts inspecting input images by using the detection algorithms which are designed distinctively for each fuze. After completing the detection process, the program displays the final result of the fuze status: "safety or danger." Through this program, we can cut off the fuzes which have any doubt about safety, and can only provide absolutely safe fuzes, compared with the current naked eye inspection method.

요인분석을 통한 공종별 체크리스트 작성에 관한 연구 (A Study on the Development of Work Activity Check List by Factor Analysis)

  • 이재옥;윤여완;김천학;양극영
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2002년도 학술.기술논문발표회
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    • pp.95-98
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    • 2002
  • The purpose of this study was to Estimation the Risk of construction method to protect and reduce the risk of construction period. For this study we are using the pre and during construction period Inspection list. The inspection list was used by construction company for check a flaw of construction field. So we rearrange the individual item of inspection list to match the Risk factor, The results of this study were as follows: The inspection list was rearranged at Risk checklist for Risk estimation. So that we estimate the Risk of individual construction method.

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Mask R-CNN을 활용한 반도체 공정 검사 (Semiconductor Process Inspection Using Mask R-CNN)

  • 한정희;홍성수
    • 반도체디스플레이기술학회지
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    • 제19권3호
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    • pp.12-18
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    • 2020
  • In semiconductor manufacturing, defect detection is critical to maintain high yield. Currently, computer vision systems used in semiconductor photo lithography still have adopt to digital image processing algorithm, which often occur inspection faults due to sensitivity to external environment. Thus, we intend to handle this problem by means of using Mask R-CNN instead of digital image processing algorithm. Additionally, Mask R-CNN can be trained with image dataset pre-processed by means of the specific designed digital image filter to extract the enhanced feature map of Convolutional Neural Network (CNN). Our approach converged advantage of digital image processing and instance segmentation with deep learning yields more efficient semiconductor photo lithography inspection system than conventional system.

건축공법 내부 리스크 분석에 관한 연구 (A Study on the Risk Analysis of Construction Method)

  • 윤여완;양극영
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2002년도 학술.기술논문발표회
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    • pp.117-121
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    • 2002
  • The purpose of this study was to Identification the Risk of construction method to protect and reduce the risk of construction period. For this study we are using the pre and during construction period Inspection list. The inspection list was used by construction company for check a flaw of Construction field. So we rearrange the individual item of inspection list to match the Risk factor. This inspection list usually has the difference of importance because this list is not made by Method which is not focused on Method. Therefore, To find the difference of these importance, We surveyed this matter by doing interview of specialist group. To find the application of field and the possibility of measurement of Risk status, We tested Risk occurring frequency and it's strength by checking the level of Risk. The results of this study were as follows; Each Method Check List made out through the rearrangement of Construction Inspection list which used in construction company. To solve and compensate the matter which happened by changing the each Method Check List to each General Inspection List, we added the each Method Check List by checking the importance of check list of each process. By doing this, The Check List for finding Risk level of Method was created by using the check list of each Method.

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건축공법 내부 리스크 분석에 관한 연구 (A Study on the Risk Analysis of Construction Method)

  • 윤여완;양극영
    • 한국건축시공학회지
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    • 제2권4호
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    • pp.131-135
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    • 2002
  • The purpose of this study was to Identification the Risk of construction method to protect and reduce the risk of construction period. For this study we are using the pre and during construction period Inspection list. The inspection list was used by construction company for check a flaw of Construction field. So we rearrange the individual item of inspection list to match the Risk factor. This inspection list usually has the difference of importance because this list is not made by Method which is not focused on Method. Therefore, To find the difference of these importance, We surveyed this matter by doing interview of specialist group. To find the application of field and the possibility of measurement of Risk status, We tested Risk occurring frequency and it's strength by checking the level of Risk. The results of this study were as follows; Each Method Check List made out through the rearrangement of Construction Inspection list which used in construction company. To solve and compensate the matter which happened by changing the each Method Check List to each General Inspection List, we added the each Method Check List by checking the importance of check list of each process. By doing this, The Check List for finding Risk level of Method was created by using the check list of each Method.

Ball Grid Array Solder Void Inspection Using Mask R-CNN

  • Kim, Seung Cheol;Jeon, Ho Jeong;Hong, Sang Jeen
    • 반도체디스플레이기술학회지
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    • 제20권2호
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    • pp.126-130
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    • 2021
  • The ball grid array is one of the packaging methods that used in high density printed circuit board. Solder void defects caused by voids in the solder ball during the BGA process do not directly affect the reliability of the product, but it may accelerate the aging of the device on the PCB layer or interface surface depending on its size or location. Void inspection is important because it is related in yields with products. The most important process in the optical inspection of solder void is the segmentation process of solder and void. However, there are several segmentation algorithms for the vision inspection, it is impossible to inspect all of images ideally. When X-Ray images with poor contrast and high level of noise become difficult to perform image processing for vision inspection in terms of software programming. This paper suggests the solution to deal with the suggested problem by means of using Mask R-CNN instead of digital image processing algorithm. Mask R-CNN model can be trained with images pre-processed to increase contrast or alleviate noises. With this process, it provides more efficient system about complex object segmentation than conventional system.