• Journal of Internet Computing and Services
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• v.9 no.5
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• pp.109-116
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• 2008

The rapid change of computer and Internet environments produces a lot of data of various quality, Because this fact affects enterprise and organization, it demands the level evaluation on data quality, Thus, we propose mathematical model for quality evaluation on the base of data quality in this paper. And we propose the analysis model(web evaluation model, DQnA)) that analyzes and maintains data quality.

• 한국정보통신설비학회:학술대회논문집
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• 2007.08a
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• pp.111-116
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• 2007

본 논문에서는 인터넷전화 품질평가를 위한 국내 동향에 대하여 기술하고, BcN영상전화 서비스에 대한 SLA 품질지표 및 품질기준을 국내외 동향 및 기준표준화에 근거하여 마련하고 이를 검증하기 위한 품질측정 방법을 제시하고자 한다. 이를 통해서 영상전화 서비스의 SLA 품질기준이 조기에 마련되어 국내 통신사업자들의 이용약관에 반영되기를 기대한다. 따라서 본 논문의 목차는 서론, SLA 개요, 영상전화 서비스의 품질지표 및 기준, 품질지표별 측정방법 및 시험측정 결과에 대하여 기술하였다.

• Journal of Engineering Education Research
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• v.3 no.2
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• pp.84-92
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• 2000

U.S. Congress established the Malcolm Baldrige National Quality Award (MBNQA) program in 1987 to recognize U.S. organizations for their achievements in quality and business performance and to raise awareness about the importance of quality and performance excellence as a competitive edge. The Baldrige Award was envisioned as a standard of excellence that would help U.S. organizations achieve world-class quality. Recently the U.S, Congress approved legislation that made education and health care organizations eligible to participate in the Award Program. These criteria are applied to evaluate two academic departments (Computer Science & Industrial Systems and Electrical Engineering) at Yonsei University. It was an informal evaluation performed by the undergraduate students who took quality Engineering course. Evaluated total scores turn out to be 522.5 and 548.5 for both, respectively. According to the MBNQA diagnosis, this level of score represents that there are some areas or work units which need to be improved. We hightlight them so that they can be used as feedback information.

• Proceedings of the Korean Society of Computer Information Conference
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• 2013.01a
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• pp.39-40
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• 2013

의료용 기능성게임의 효과가 입증되면서 다양한 분야의 투자와 주목을 받고 있다. 이에 따라 사용자를 위하여 의료용 기능성게임의 품질평가가 중요한 이슈가 되었다. 품질평가는 객관적인 기준과 평가요소 개발이 중요하다. 기능성게임의 특성 상 품질평가는 기술적인 영역과 비기술적인 영역으로 나누어 진행된다. 본 연구에서는 의료용 기능성게임의 비기술적인 영역의 품질평가 요소를 개발하기 위한 방법을 제안한다. 제안한 방법을 사용하여 심리 치료와 헬스케어 및 재활치료 2개 분야에 대해 각각 5개의 평가 요소를 추출하였다. 추출 결과는 전문가에 의해 내용 타당도 검사로 신뢰성을 확보했다. 본 연구는 다양한 분야의 기능성게임 품질평가 모델 개발의 가이드라인이 될 것이다.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.2 s.8
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• pp.123-136
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• 1996

Lately, the demand for data standardization become increased to obtain various data jointly along with development of information technology and diversity of society. Thus the research on tile definition and evaluation of data quality indicating accuracy and confidence of geospatial data, is required for this standardization. In this study, by virtue of comparison of definitions and evaluation methods of data quality element being selected from representative countries, the following results were obtained: (1) Application of ISO/TC211's Draft having accepted evaluation standard to KSDTS(Korea Spatial Data Transfer Standard) is desirable for definitions of data quality elements. (2) This study presented the quality evaluation of much more resonable geospatial data accompaning with quality element. Furthermore, this study suggests that this evaluation be applicable to KSDTS and be contained in the digital map product specification of National Geography Institute with more clearness of a report form of data quality evaluation result. (3) Studies on various sampling methods, establishment of AQL(Acceptable Quality Level) suitable for our country, and computer programming which can rapidly and automatically evaluate mass much of data are required.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.141-143
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• 2012

RFID 미들웨어의 평가를 위한 방법으로서, 테스트 데이터셋을 이용한 시뮬레이션은 일반적으로 사용되는 평가 방법이다. 태그 식별자에 따라 순차생성된 가상 데이터셋이나 랜덤 생성된 데이터셋의 경우 미들웨어의 단순 처리량을 평가하기에는 유용하나 미들웨어의 정확성이나 실행 가능성를 평가하기에는 한계가 있다. 테스트 데이터셋은 실제 리더에서 생성된 데이터셋과 매우 유사하여야 함에도 불구하고, 테스트 데이터셋의 품질 기준이 정의되어 있지 않음에 따라 테스트 데이터셋이 얼마만큼 실제 데이터셋과 유사한 지를 평가하기가 어려운 문제가 있다. 이를 위해 본 논문에서는 RFID 미들웨어의 평가에 사용되는 테스트 데이터셋의 품질을 평가하기 위한 품질 지표를 제안한다. 제안하는 품질 지표는 실제 RFID 리더에 태그가 통과할 때 생성되는 데이터 셋을 기반으로 하여 정의하였으며, RFID 무선 인식의 고유의 특성, 즉 중복성과 불확실성을 수치화해서 표현하는 특징이 있다. 또한 제안한 품질 지표를 실제 RFID 리더를 통해 생성한 데이터셋에 적용하여 비교 검토함으로써 품질 지표의 유용성을 입증한다.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.490-492
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• 2002

What we did and will do What we did · 정상성 평가 자료를 정략적 평가 자료화 · S/W패키지 기준 컴포넌트 중심의 기준 · 컴포넌트 시험 평가를 위한 새로운 Metries 제안 What we'll do · 정부 공모 과제 우선 실험 적용 · 시험 평가 결과에 근간한 품질 개선 가이드라인 개발(중략)

• Journal of the Korean Society for Library and Information Science
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• v.39 no.2
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• pp.211-235
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• 2005

The purpose of this study was to design an extensive evaluation model for the quality of web-based database and to make a comparative analysis of People's awareness of the importance of assessment indices. The evaluation standard developed in this study was constituted by 19 indices and 45 elements in three different areas, including data, service and effectiveness. And a survey was conducted on database experts and nonprofessional users to find out their awareness of the importance of web-based database evaluation elements, and the findings of the study might contribute to laying the foundation for expediting more in-depth research efforts in the future.

• Korean Journal of Construction Engineering and Management
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• v.1 no.1 s.1
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• pp.72-79
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• 2000

Design quality in constructed project is a primary consideration to achieve overall project objectives. It is not easy to evaluate the design quality because various factors are involved in the design process. This paper presents a new approach to improve the evaluation process of design quality In the construction project The evaluation model is developed to satisfy the requirement for implementing the ISO 9000 Quality Assurance Standards in the design process. It is assumed that design changes are resulted from the poor management of design quality. The model relates design changes to design quality management items. It assigns weight ratio to each design quality item to evaluate quantitatively Design Quality Index (DQI) is calculated to assess design quality based on the Objectives Matrix. A case study is performed to illustrate the practical implementation of the design quality evaluation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.6
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• pp.382-390
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• 2018

This study developed a model to evaluate the quality management system of a medical device manufacturing company, and applied it to medical device manufacturers to understand the impact on business performance in response to international regulations and industry's change. This study prepared preliminary items, defined four (4) major factors (Plan-Do-Check-Act) that consist of the evaluation layers and items per category according to prior research review and expert interview, and calculated the weight and importance using AHP. The study results showed that responsibility & authority and quality objective in Planning Category, product-related requirement and R&D in Doing Category, Measuring and monitoring in Check Category, and review of meeting Regulatory and regulation in Action Category are relatively more important factors. The evaluation model developed based on the calculated weight and importance to business performance was applied to medical device manufacturers to investigate and analyze the implementation level of QMS and its impact on business performance according to each category. Most medical device manufacturers to be studied showed a reasonable level of QMS and effective business performance. Almost all the evaluation layers and items in the four (4) factors had a significant influence on business performance. Although the medical device quality management system is aimed mainly at license acquisition, it is important that management environment factors not related directly to licensing and authorization are important to business performance, and it is effective when these factors are integrated and operated within and outside the manufacturer.