• Title/Summary/Keyword: Material Classification

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A Study on the Standard and Information System for Urban Transit Maintenance (도시철도 유지보수체계 표준화 및 정보화에 대한 연구)

  • Ahn, Tae-Ki;Shin, Jeong-Ryol;Park, Kee-Jun
    • Journal of the Korean Society for Railway
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    • v.9 no.5 s.36
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    • pp.539-543
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    • 2006
  • We need to make the standards of maintenance information for urban transit to reduce the cost to maintain the information and to share the information with maintenance workers. It is enable to do systematic maintenance for urban transit by using the information system based on the standardized information. In this paper we propose the major items to standardize and the methods to lay out the standard schemes to enable structured maintenance. We present the 4 items, bill of material, material classification, accident/fault classification, electronic document, to standardize. And we propose how to implement the information system for urban transit based on the standardized information. We describe the implemented information system in two parts; a rolling-stock and an infrastructure part. And also we describe the result of survey to evaluate the system installed at Seoul Metro and Seoul Metropolitan Rapid Transit.

Interior Cost Estimating as a Design Marketing Tool - for Executive Office Interior (디자인 마케팅을 위한 인테리어 공사비 초기 예측기법- 일원공간의 인테리어 프로젝트를 중심으로 -)

  • 이혜연
    • Korean Institute of Interior Design Journal
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    • no.23
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    • pp.68-73
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    • 2000
  • The purpose of this research is to develop interior construction cost-estimating system at the early stage of the project. Though general construction estimates are typically in quantitative, interior construction should be in rather qualitative. Therefore, design-concerned cost-estimating methods should be developed to manage interior projects from the early statge. 30 estimates of VIP-Zone interior projects, were examined to develop the general type of composition and material classification. The cost has been classified by construction parts such as wall, ceiling, floor, and doors & windows and their treatments. The composition and material related estimating system (CMRES) was consisted of the unit average costs of classification and the variation coefficients. The CMRESS was verified by the case study, and the results sowed that the difference between the actual estimate and the CMRES was competitively confident.

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PD Source Classification of Model Specimens for GIS (GIS 모의결합의 부분방전원 분류)

  • Park, Sung-Hee;Lim, Kee-Joe;Kang, Seong-Hwa;Lee, Chang-Jun;Lee, Hee-Cheol
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.05b
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    • pp.100-103
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    • 2004
  • In this paper, BP learning algorithm is studied to apply as a PD source classification in GIS specimens. For occurred partial discharge, three defected models are made; floating particle, surface discharge of spacer, needle to plane. And PD data for discrimination were acquired from PD detector. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different models of discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for three PD sources.

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PD Classification by Neural Networks in Specimen of XLPE Power Cable (XLPE 전력용 Cable 시편의 부분방전원의 분류)

  • Park, Sung-Hee;Park, Jae-Yeol;Lee, Kang-Won;Kang, Seong-Hwa;Lim, Kee-Joe
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2003.11a
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    • pp.558-562
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    • 2003
  • In this paper, neural networks is studied to apply as a PD source classification in XLPE power cable specimen. For treeing discharge sources in the specimen, three defected models are made. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different models of discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for three PD sources.

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A study on a n.0, pplication to DDC of historical documents division (사부주제의 DDC 분류에 관한 연구)

  • 현영아
    • Journal of Korean Library and Information Science Society
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    • v.21
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    • pp.139-157
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    • 1994
  • This paper is intended to help librarians to classify the traditional oriental material of the dissertation concerned with that, to serve researched user that literatures which have been field among various traditional bibliographies. So, the main purpose of this paper is overviewed the methods of classification in the DDC that to promote current classification and to use flurishing of historical documents division.

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Evaluation System for Health Functional Food in Korea

  • Choung, Se-Young
    • Proceedings of the PSK Conference
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    • 2003.04a
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    • pp.96-98
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    • 2003
  • 1. Standard and regulations for functional food evaluation cases form overseas (1) Japan For food function indication, Food Nutrition Improvement Act was amended in September 1991 and they managed functional food after setting specific health food in one of classification of special functional foods. For manification of raw material usage, the classification of health functional foods was performed by their application on: the control of internal organ status, cholesterol, blood pressure, mineral absorption, and prevention of dental caries. (omitted)

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An Analysis of Korean Children's Libraries and Their Classification Scheme (국내 어린이도서관의 현황 및 분류표 적용 분석)

  • Moon, Ji-Hyun;Kim, Jeong-Hyen
    • Journal of Korean Library and Information Science Society
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    • v.39 no.2
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    • pp.493-514
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    • 2008
  • The paper analyzes local children's libraries' status of application of classification scheme and problems and difficulties in its application in order to be used as basic material for development of classification scheme for exclusive use of children's libraries. Through survey, the paper researched 96 local children's libraries, and the results showed that KDC-applied libraries numbered 53 and were the highest, libraries which developed their own classification scheme numbered 22, and libraries which applied classification scheme for children's library numbered 13. Further, many asserted that there needs to be a development of standard classification scheme to be used in children's library. On problems and difficulties in applying classification scheme, notes such as difficulty of accommodating various forms of children's books(such as comic books and picture books), placing too much emphasis on collection of books on certain topic, and lack of topic categories appropriate for characteristics of collected books were voiced, and by holding additional discussion on these, the paper raised the usefulness of the dissertation to be used as basic materials for developing classification scheme for exclusive use of children's library in the future.

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Study on the Harmonization of Health and Environmental Hazard Classification Criteria and Its Results Based on the UN GHS (UN GHS 기준에 의한 국내 건강.환경유해성 분류기준 및 분류결과의 통일화 방안 연구)

  • Lee, Kwon Seob;Lee, Jong Han;Song, Se Wook
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.22 no.2
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    • pp.140-148
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    • 2012
  • Objectives: This study was performed to provide harmonized guidelines on health and environmental classification criteria and its results of chemicals in Korea. Methods: Firstly, The history of GHS implementation in UN and Korea was reviewed. Secondly, the differences in classification criteria on health and environmental hazards among UN GHS and two Korean government agencies, Korea Ministry of Employment and Labour (KMoEL) and Korea Ministry of Environmental (KMoE). The classification results were compared between classifications of Korea Occupational Safety and Health Agency (KOSHA) based on KMoEL and classifications of Korea National Institute of Environmental Research (KNIER) based on KMoE. Finally, an inter-agency harmonization on the classification criteria and the results was suggested by comparing the classification results of 5 chemicals; Benzene, carbon disulfide, formaldehyde, toluene-2,4-diisocyanate, and trichloroethylene. Results: KMoEL and KMoE revised regulations on chemical management and published a Notices on GHS classification criteria according to UN GHS document. However, the hazard to the ozone layer contained in the latest edition of UN GHS document published in 2011 was not included yet. The differences in classifications of 5 chemicals between KOSHA and KNIER were 36.2% in health hazards and 23.4% in environmental hazards, respectively. In conclusion, we suggested that a new revision be needed to include newly contained hazard and inter-agency working party be organized to harmonize classification results.

Classification Technique of Kaolin Contaminants Degree for Polymer Insulator using Electromagnetic Wave (방사전자파를 이용한 고분자애자의 오손량 분류기법)

  • Park Jae-Jun
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.19 no.2
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    • pp.162-168
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    • 2006
  • Recently, diagnosis techniques have been investigated to detect a Partial Discharge associated with a dielectric material defect in a high voltage electrical apparatus, However, the properties of detection technique of Partial Discharge aren't completely understood because the physical process of Partial Discharge. Therefore, this paper analyzes the process on surface discharge of polymer insulator using wavelet transform. Wavelet transform provides a direct quantitative measure of spectral content in the time~frequency domain. As it is important to develop a non-contact method for detecting the kaolin contamination degree, this research analyzes the electromagnetic waves emitted from Partial Discharge using wavelet transform. This result experimentally shows the process of Partial Discharge as a two-dimensional distribution in the time-frequency domain. Feature extraction parameter namely, maximum and average of wavelet coefficients values, wavelet coefficients value at the point of $95\%$ in a histogram and number of maximum wavelet coefficient have used electromagnetic wave signals as input signals in the preprocessing process of neural networks in order to identify kaolin contamination rates. As result, root sum square error was produced by the test with a learning of neural networks obtained 0.00828.

Image Analysis by CNN Technique for Maintenance of Porcelain Insulator (자기애자의 유지 관리를 위한 CNN 기법을 이용한 이미지 분석)

  • Choi, In-Hyuk;Shin, Koo-Yong;Koo, Ja-Bin;Son, Ju-Am;Lim, Dae-Yeon;Oh, Tae-Keun;Yoon, Young-Geun
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.33 no.3
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    • pp.239-244
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    • 2020
  • This study examines the feasibility of the image deep learning method using convolution neural networks (CNNs) to maintain a porcelain insulator. Data augmentation is performed to prevent over-fitting, and the classification performance is evaluated by training the age, material, region, and pollution level of the insulator using image data in which the background and labelling are removed. Based on the results, it was difficult to predict the age, but it was possible to classify 76% of the materials, 60% of the pollution level, and more than 90% of the regions. From the results of this study, we identified the potential and limitations of the CNN classification for the four groups currently classified. However, it was possible to detect discoloration of the porcelain insulator resulting from physical, chemical, and climatic factors. Based on this, it will be possible to estimate the corrosion of the cap and discoloration of the porcelain caused by environmental deterioration, abnormal voltage, and lightning.