• 제목/요약/키워드: Quality diagnosis

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Proposal of Public Data Quality Management Level Evaluation Domain Rule Mapping Model

  • Jeong, Ha-Na;Kim, Jae-Woong;Chung, Young-Suk
    • 한국컴퓨터정보학회논문지
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    • 제27권12호
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    • pp.189-195
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    • 2022
  • 정부는 공공데이터의 민간 개방, 활용을 장려함으로써 신산업, 일자리 창출 등 창조경제 활성화에 기여하는 것을 주요 국정과제로 삼고 있다. 그리고 고품질 공공데이터 보유를 위해 공공데이터 품질관리 수준평가 진행 등의 활동을 통해 공공데이터 품질 향상을 도모하고 있다. 그러나 품질진단 도구 사용자의 데이터 전문성, 이해도에 따라 공공데이터 품질관리 수준평가 결과에 격차가 발생하기 때문에 진단 결과의 정확성을 보장하기 어렵다. 본 논문은 데이터 이해도가 낮은 사용자의 진단 결과에 대한 정확성을 보장하기 위해 데이터 품질진단 기준 중 유효성 진단에 적용 가능한 공공데이터 품질관리 수준평가 도메인규칙 매핑 모델을 제안하였다. 또한 모델에 실제 데이터를 적용한 결과 공공데이터 품질진단의 안정성과 정확성을 높이는 것을 확인하였다.

Development of Power Quality Management System with Power Quality Diagnosis Functions

  • Chung Il-Yop;Won Dong-Jun;Ahn Seon-Ju;Kim Joong-Moon;Moon Seung-Il;Seo Jang-Cheol;Choe Jong-Woong;Jang Gil-Soo
    • Journal of Electrical Engineering and Technology
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    • 제1권1호
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    • pp.28-34
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    • 2006
  • Recently, in accordance with the development of IT technology, it is prevalent for power quality monitors to be connected to each other via networks and share their data because such networks provide system-wide insights to customers concerning power quality. Those systems can alarm and display power quality events for the convenience of customers. However, if a power quality event occurs, it is difficult for customers to determine its cause and solution because the systems do not provide appropriate power quality diagnosis functions. The power quality management system presented in this paper has been developed to provide customers with various power quality diagnosis functions so that they can cope well with power quality problems with the right measure in the right place. This paper presents the structure and functions of the developed power quality management system and shows some results of the power diagnosis functions.

맥진의 현대적인 객관화 연구를 위한 기반조사 - I. 기계적 측정법에 대한 비교연구- (The basic investigation for the objective study on the pulsation)

  • 김경철;신순식;강희정;처철용
    • 동의생리병리학회지
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    • 제17권5호
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    • pp.1147-1150
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    • 2003
  • Modern Objectification of Pulse Diagnosis, One of the Four Diagnosis Method of Oriental Medicine, is necessarily project to improving Oriental medical clinic status and quality by standardization of diagnosis database. At that, accurate measurement equipment or devices(sensor, system and instruments, etc,) to exactly detect MacSang(脈診 : the parameter and subject of pulse diagnosis) have not developed yet. Existing Pulse diagnosis devices are not satisfy clinical needs and medical equipments quality. We study for pulse diagnosis system, that CD is satisfying oriental medical clinic needs, is ensuring accuracy and reappearance to support in clinical diagnosis and treatment, is guaranteeing the quality of medical equipments. theoretical base and convenience.

임상진단명에 따른 질병분류체계 구축모형 개발 - 안과를 대상으로 - (Development of Construction Model of Disease Classification on Clinical Diagnosis in Ophthalmology)

  • 서진숙;신희영;기창원
    • 한국의료질향상학회지
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    • 제10권2호
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    • pp.204-215
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    • 2003
  • Background : ICD-10 Classification, which is used domestically as well as internationally, has limited use in the clinical practice since it is developed for at disease statistics and epidemiology. Therefore, the purposes of this study were to improve the quality of diagnosis by constructing a new disease classification based on the diagnoses doctors currently make in the clinical setting and connecting this classification with OCS and EMR, and to meet the demands of doctors for high quality medical study data in medical research. Methods : The specialists in each ophthalmic subfield collected clinical diagnoses and abbreviations based on the ophthalmology textbooks and confirmed the classifications. Total number of clinical diagnoses collected was totaled 672, for which ideal diagnoses had been selected and a new model of disease classification model in connection with ICD-10 was constructed. The constructed classification of clinical diagnoses consisted of six steps: the first step was the classification by ophthalmic subspecialty field; the second to fifth steps were the detailed classification by each specialty field; the sixth step was the classification by site. Results : After introducing the new disease classification, research on the use and a pre-post comparison was conducted. The result from the research on the use of the clinical diagnoses in inpatient and outpatient care has shown a gradually increasing tendency. From the pre-post comparison of EMR discharge summary diagnoses, the result demonstrated that the diagnosis was stated correctly and in detail. Since the diagnosis was stated correctly, code classification became correct as well, which makes it possible to construct high quality medical DB. Conclusion : This construction of clinical diagnoses provides the medical team with high quality medical information. It is also expected to increase the accuracy and efficiency of service in the department of medical record and department of insurance investigation. In the future, if hospitals wish to construct a classification of clinical diagnosis and a standard proposal of clinical diagnosis is presented by a medical society, the standardization of diagnosis seems to be possible.

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A Study on the Domain Discrimination Model of CSV Format Public Open Data

  • Ha-Na Jeong;Jae-Woong Kim;Young-Suk Chung
    • 한국컴퓨터정보학회논문지
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    • 제28권12호
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    • pp.129-136
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    • 2023
  • 정부는 공공데이터 품질관리 수준평가를 진행하여 공공 개방데이터의 품질관리를 진행하고 있다. 공공 개방데이터는 XML, JSON, CSV 등 여러 오픈포맷 형태로 제공되며 CSV 형식이 대다수를 차지한다. 이러한 CSV 형식의 공공 개방데이터 품질진단 시 품질진단 담당자가 공공 개방데이터 파일의 필드명과 필드 내 데이터에 의존하여 필드 별 도메인을 판단하여 진단한다. 그러나 대량의 개방 데이터 파일을 대상으로 품질진단을 수행하기 때문에 많은 시간이 소요된다. 또한 의미 파악이 어려운 필드의 경우 품질진단의 정확성이 품질진단 담당자의 데이터 이해도 역량의 영향을 받는다. 본 논문은 필드명과 데이터 분포 통계를 이용한 CSV 형식 공공 개방데이터의 도메인 판별 모델을 제안하여 품질진단 결과가 품질진단 담당자의 역량에 좌지우지 되지 않도록 일관성과 정확성을 보장하고 진단 소요 시간 단축을 지원한다. 본 논문의 모델 적용 결과 행정안전부에서 제공하는 파일형식 개방데이터 진단도구보다 2.8% 높은 약 77%의 정답률을 보였다. 이를 통해 공공데이터 품질관리 수준진단·평가에 제안 모델 적용 시 정확성을 향상시킬 수 있을 것으로 기대한다.

국가승인통계 품질 등급 부여 및 상대지표 개발 (Research on grading the quality level and developing the comparability index of the national statistics)

  • 심규호
    • 품질경영학회지
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    • 제38권2호
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    • pp.150-160
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    • 2010
  • Statistics Korea has been diagnosis national statistics every year since 2006. They diagnosis over 200 kinds of national statistics. They have 7 quality dimension used for quality diagnosis. That is relevance, accuracy, Timeliness, Comparability, Coherence, Accessibility. Since we are interest in how well they produce national statistics, comparability has become the most important dimension recently. In this reason, Statistics Korea try to rating quality level and development comparability index for national statistics. This paper propose the practical method of grading the quality level and developing the comparability index of the national statistics.

품질경영진단모델을 통한 프로세스 혁신에 관한 연구 (A Study on Process Innovation through Quality Management Diagnosis Model)

  • 김종국;유진삼;김창은
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2012년 춘계학술대회
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    • pp.547-559
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    • 2012
  • This thesis introduced a model of diagnosing a company's quality management, and a process of achieving quality innovation based on the model. As for study methods, books and theses related to quality and process innovation were collected for investigation, a survey on internal employees to investigate major issues of quality and standard consciousness was conducted, and 5DP was discussed for balanced process analysis.

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전기품질 진단 시스템 개발을 위한 인공 신경망 적용에 관한 연구 (A Study on Power Quality Diagnosis System using Neural NetWorks)

  • 김진수;김영일;김광순;박기주
    • 전기학회논문지
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    • 제56권8호
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    • pp.1351-1359
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    • 2007
  • In this paper, we have studied the power quality(PQ) diagnosis system with the two methods for PQ diagnosis. One to Apply a regulation value in compliance with mathematics calculation, and the other Automatic identification using Neural network algorithm. Neural network algorithm is used for an automatic diagnosis of the PQ. The regulation proposed by IEEE 1159 Working group is applied for the precision of the diagnosis. In order to divide accurate segmentation, the algorithm for a computer training used the back propagation out of several neural network algorithms. We have configured the proto-type sample by using Labview and a programmed Neural Networks Algorithm using with C. And arbitrary electric Signal generated by OMICRON Company's CMC 256-6 for an efficiency test.

연구품질 향상을 위한 프로세스 관점의 R&D 품질 진단 프레임워크 개발 (R&D Quality Diagnosis Framework Focusing on R&D Process)

  • 이민기;이해준;이종석;신완선;한근희;김덕환
    • 대한산업공학회지
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    • 제43권2호
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    • pp.100-111
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    • 2017
  • Evaluating the performance of R&D Activity is complicated because it is hard to quantify the R&D results unlike the traditional manufacturing or service industries. Recently, to overcome this, process-focused evaluation methods applying the philosophy of quality into R&D environment have been introduced. However, these quality activities are mainly conducted without feedback system after the evaluation work is done. The aim of this study is to present a R&D quality diagnosis framework to obtain the improvement opportunities from R&D process perspective. The research is designed as follows : First, R&D standard process and R&D quality elements are derived from a literature review. Second, the diagnosis objects are obtained by investigating the R&D quality elements at each R&D steps. Third, a two-dimensional diagnosis model, which enables the objective measurement of the 'system compatibility' and 'accomplish level', is presented. The proposed method can provide an effective way to find opportunities for efficient quality improvement of R&D process.