• Title/Summary/Keyword: 기록품질

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Suggestions on how to convert official documents to Machine Readable (공문서의 기계가독형(Machine Readable) 전환 방법 제언)

  • Yim, Jin Hee
    • The Korean Journal of Archival Studies
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    • no.67
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    • pp.99-138
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    • 2021
  • In the era of big data, analyzing not only structured data but also unstructured data is emerging as an important task. Official documents produced by government agencies are also subject to big data analysis as large text-based unstructured data. From the perspective of internal work efficiency, knowledge management, records management, etc, it is necessary to analyze big data of public documents to derive useful implications. However, since many of the public documents currently held by public institutions are not in open format, a pre-processing process of extracting text from a bitstream is required for big data analysis. In addition, since contextual metadata is not sufficiently stored in the document file, separate efforts to secure metadata are required for high-quality analysis. In conclusion, the current official documents have a low level of machine readability, so big data analysis becomes expensive.

Case study of analysing the manufacturing process of silicon wafers based on a large set of data to identify the causes of nonconformities (대 용량 데이터를 사용한 실리콘 웨이퍼 제조공정의 품질특성 불량원인분석 사례)

  • Kwon You-Jin;Kwon Hyuck-Moo;Lee Jong-Kyong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.05a
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    • pp.86-91
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    • 2006
  • 본 연구는 M사의 제조공정에서 얻어진 대 용량 데이터를 사용하여 실리콘 웨이퍼의 중요 품질특성 중 하나인 Warp 불량원인을 분석한 사례이다. 이론적으로는 많은 양의 데이터를 확보하고 있을 경우 검출력의 향상으로 공정의 미세한 변화를 보다 민감하게 탐지할 수 있을 것으로 생각된다. 그러나 현실적으로는 불필요한 정보 혹은 많은 잡음 요인들의 개입으로 인하여 공정에 대한 올바른 이해가 더 어려울 수도 있다. 본 연구는 공정에 대한 경험과 기술적인 지식을 활용하여 분석의 기본 방향을 설정하고 많은 양의 데이터를 체계적으로 분석한 후 분석 결과를 실질적인 측면에서 재검토하여 의미 있는 결과를 도출하는 순서로 진행되었다. 데이터 분석의 과정 및 결과는 공정의 자동화로 수많은 데이터가 실시간으로 기록되는 상황에서 잡음요인들로 인한 영향을 배제하고 핵심요인에 의한 영향을 파악하는데 참고할 수 있을 것으로 사료된다.

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A study on the Improvement of the Protective coordination of Distribution line through the reformation of protective devices operation method (보호기기 운영방법 개선을 통한 배전선로 보호협조 향상방안)

  • Lee, Sang-Ho;Cho, Si-Hyung
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.491-492
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    • 2007
  • 한국전력공사는 급속도로 성장한 IT분야를 전력계통운영분야에 접목하여 세계적인 수준의 배전자동화기술을 보유하게 되었으며, 이로인하여 06년에는 호당정전시간 18.8분을 기록하는등 수준높은 전기품질을 공급할수 있게 되었다. 하지만, 전력수요의 증가로 회선당 공급전력은 대용량화 되어가고, 고객들이 전기품질에 대한 수준도 상향조정되어 과거보다 훨씬 높은 공급신뢰도가 요구되고 있는 것 또한 현실이다. 따라서 배전자동화를 통한 고장구간의 신속한 분리와 더불어 배전선로에 설치되는 보호기기의 적절한 배치와 운영으로 고장구간을 최소화하고, 고장을 예방하는 최적화 방안이 더욱 필요한 시점이다. 따라서 본 논문에서는 현행 한전의 배전보호기기운영 상황을 분석하고 가공 배전선로에 운전되고 있는 CB Ry와 리클로져의 운영방안의 개선을 통하여 배선선로 보호협조 최적화 방안을 강구하여 보고자 한다.

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키오스크 사용자 중심 서비스개선 우선순위 연구

  • Choe, Jae-Hun;Kim, Pan-Su
    • 한국벤처창업학회:학술대회논문집
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    • 2020.06a
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    • pp.167-171
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    • 2020
  • 최근 다양한 산업에서 키오스크를 활용한 서비스가 확대되고 있으며 현대증권의 보고서에 따르면 세계적으로 키오스크 시장이 2021년도 까지 연평균 17%의 성장률을 기록할 것이라고 전망되어진다. 이와 같은 배경에서 국내에서도 키오스크 제조, 관리업이 늘어나고 있으며 창의적인 기술력을 바탕으로 차별성을 둔 스타트업들의 진출도 보이고 있다. 하지만, 대부분의 제조, 관리업자들은 1차 소비자인 설치 매장의 관점에서 접근을 하여 서비스 개선을 이루어 내기에 여전히 키오스크를 실제 사용하는 소비자의 불편 및 불만에 대한 개선은 부족한 실정이며 학계에서도 디자인, UI, 기술수용 등 다양한 방면으로 연구가 진행되고 있지만 현실적인 효과의 확인에는 어려움을 호소하기에 본 연구에서는 실제 소비자의 관점에서 키오스크를 사용함에 있어서 중점을 두는 요인들과 현재 연구가 이루어지고 있는 주제들을 중심으로 핵심 요인 10가지를 추출하여 이를 다시 품질속성 분류와 만족수준 측정을 진행하였다. 본 연구에서는 Kano를 활용하여 품질속성을 분류하고 이 과정에서 모델의 단점으로 인해 발생하는 문제점을 보완하기 위해 추가적으로 Timko를 통해 만족계수와 불만족계수 측정과 PCSI를 통한 현재 만족수준을 확인하여 복합적으로 해석하고 이를 통해 최종적인 서비스개선 순위를 시사하는 방향으로 본 연구를 진행하였다.

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Enhancing Classification Model Performance through Noise Data Refinement (노이즈 데이터 정제를 통한 분류모델 성능 향상)

  • Unkuk Jeong;Seungshik Kang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2024.05a
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    • pp.559-562
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    • 2024
  • 자연어 기반의 분류모델을 개발할 때 높은 성능을 획득하기 위해서는 데이터의 품질이 중요한 요소이다. 특히 무역상품 국제 분류체계 HS-CODE에서 상품명을 기반으로 HS코드를 분류할 때, 라벨링 된 데이터의 품질에 의해서 분류모델의 성능이 좌우된다. 하지만 현실적으로 확보 가능한 데이터셋에는 데이터 라벨링 오류나 데이터로 활용하기에 특징점이 부족한 데이터들이 다수 존재하기도 한다. 본 연구에서는 분류모델 학습 데이터의 정제 방법론으로, 딥러닝 기반 노이즈 검출 알고리즘을 제안한다. 분류 대상의 특징점이 분류 경계값 주변에 존재한다면 분류하기 모호한 노이즈 데이터일 가능성이 높다고 가정하고, 해당 노이즈 데이터를 검출하는 방법으로 딥러닝 기술을 활용한다. 해당 경계값 노이즈 검출 알고리즘으로 데이터를 정제한 뒤 학습모델의 성능비교 결과, 기존 대비 우수한 분류 정확도를 기록하였다.

A research on the Construction and Sharing of Authority Record-focusing on the Case of Social Networks and Archival Context Project (전거레코드 구축 및 공유에 관한 연구 SNAC 프로젝트 사례를 중심으로)

  • Lee, Eun Yeong
    • The Korean Journal of Archival Studies
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    • no.71
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    • pp.49-89
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    • 2022
  • This study suggests the necessity and domestic application plan a national authority database that promotes an integrated access, richer search, and understanding of historical information sources and archival resources distributed among cultural heritage institutions through the "Social Networks and Archive Context" project case. As the SNAC project was transformed into an international cooperative organization led by NARA, it was possible to secure a sustainable operating system and realize cooperative authority control. In addition, SNAC authority records have the characteristics of providing richer contextual information about life and history and social and intellectual network information compared to libraries. Through case analysis, First, like SNAC, a cooperative body led by the National Archives and having joint ownership of the National Library of Korea should lead the development and expand the scope of participating institutions. Second, in the cooperative method, take a structure in which divisions are made for each field with special strengths, but the main decision-making is made through the administrative team in which the two organizations participate. Third, development of scalable open source software that can collect technical information in various formats when constructing authority data, designing with the structure and elements of archival authority records, designing functions to control the quality of authority records, and building user-friendly interfaces and the need for a platform design reflecting content elements.

The Research Relating to QA of the Absorbed Dose in the 10 MeV E-beam Facility in Accordance with the International Standards (국제표준에 따른 10 MeV급 전자빔 조사시설의 흡수선량 품질보증에 관한 연구)

  • Ha, Tae-Sung;Ahn, Cheol;Jung, Pyeong-Hwan;Cho, Jeong-Hee;Lee, Jong-Seok;Lee, Hye-Nam;Yoo, Beong-Gyu
    • Journal of radiological science and technology
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    • v.33 no.4
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    • pp.387-394
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    • 2010
  • In the field of healthcare, the conventional sterilization treatments have been replaced by irradiation methods which are in accordance with internationally well established quality standards. The quality control in radiation sterilization assures that the absorbed dose of the irradiated material is in agreement with its requirements and standards. The electron beam irradiation requires technical assessments of more process parameters than gamma irradiation does. Korea has witnessed wide uses of electron accelerators since early 2000 but there hasn't been research experiences relating to quality system in accordance with international standards. The new large scale e-beam irradiation system with the specification of 10 MeV, 8 kW was installed and operated in 2008 by Seoul Radiology Services Co. It consists of the electron accelerator, product handling system, safety, documentation and control subsystems into an integrated system to meet the requirement of the Good Manufacturing Practice such as process quality assurance and management of product tracking records. To implement the international standard such as EN ISO11137, it is necessary to understand the purposes aimed in the standard and carry out the tests following the procedures required. This study presented the specification of the e-beam facility and showed what its design requirements and features are. The test results on a variety of process parameters were presented and validated it they are within the required limits.

Automatic Validation of the Geometric Quality of Crowdsourcing Drone Imagery (크라우드소싱 드론 영상의 기하학적 품질 자동 검증)

  • Dongho Lee ;Kyoungah Choi
    • Korean Journal of Remote Sensing
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    • v.39 no.5_1
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    • pp.577-587
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    • 2023
  • The utilization of crowdsourced spatial data has been actively researched; however, issues stemming from the uncertainty of data quality have been raised. In particular, when low-quality data is mixed into drone imagery datasets, it can degrade the quality of spatial information output. In order to address these problems, the study presents a methodology for automatically validating the geometric quality of crowdsourced imagery. Key quality factors such as spatial resolution, resolution variation, matching point reprojection error, and bundle adjustment results are utilized. To classify imagery suitable for spatial information generation, training and validation datasets are constructed, and machine learning is conducted using a radial basis function (RBF)-based support vector machine (SVM) model. The trained SVM model achieved a classification accuracy of 99.1%. To evaluate the effectiveness of the quality validation model, imagery sets before and after applying the model to drone imagery not used in training and validation are compared by generating orthoimages. The results confirm that the application of the quality validation model reduces various distortions that can be included in orthoimages and enhances object identifiability. The proposed quality validation methodology is expected to increase the utility of crowdsourced data in spatial information generation by automatically selecting high-quality data from the multitude of crowdsourced data with varying qualities.

A Study on Government 3.0 in the Era of the Right to Know (알권리 시대, 정부3.0의 위험과 과제)

  • Kim, You-Seung
    • Journal of Korean Society of Archives and Records Management
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    • v.14 no.4
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    • pp.37-62
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    • 2014
  • This study aims to discuss the paradigm shift of the right to know and to analyze the government 3.0 policies of the Park Gun-Hae's administration. The study analyzes the preceding researches on the rights to know and freedom of information. It also defines the concept of the right to know in both broad and narrow senses. Furthermore, the history of people's right to know is analyzed and divided into three different stages. Then, the outcomes and limitations of government 3.0 during Park Gun-Hae's administration are explored. As a result, the study discusses the dangers and the future tasks of government 3.0 in terms of quality, gathering, and security of public information.

Pathological Factors Affecting DNA Quality in BRAF, EGFR, and KRAS Gene Molecular Tests (BRAF, EGFR, KRAS 유전자 분자병리검사에서 DNA 품질에 영향을 미치는 병리학적인 인자에 관한 연구)

  • Yun, Hyon-Goo;Kim, Bo-Ra;Lee, Joo-Mi;Song, Eun-Ha;Kim, Dong-Hoon
    • Korean Journal of Clinical Laboratory Science
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    • v.52 no.4
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    • pp.381-388
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    • 2020
  • The quality control of pathological specimens is important for accurate molecular pathology testing. This study evaluated that specimen factors affecting the DNA quality during tissue processing and sample types for BRAF, EGFR, and KRAS mutations tests. One thousand seven hundred and seventy-two molecular pathology tests were investigated for the factors influencing the DNA quality, such as sample type, formalin fixation time, and reexamination status. Cytology samples stored in a saline solution had better DNA quality than commercial cytology preservation. Tissue samples fixed in formalin within 24 hours had better DNA quality than the samples fixed over 24 hours. Between the types of samples, fresh tissue samples and tissue samples with a high tumor cell density had relatively better DNA quality than the formalin-fixed paraffin-embedded (FFPE) tissues and cytology specimens. Of real-time PCR, the non-PNA Ct value increased proportionally with samples held for longer than 24 hours in formalin, and that the formalin-fixed time affects the sample DNA quality. In conclusion, the appropriate tumor cellularity and 10% neutral formalin fixation time are the most important factors for maintaining the DNA quality. These factors should be managed properly for an accurate pathological molecular test to ensure optimal DNA quality.