• Journal of Information Technology Applications and Management
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• 제10권4호
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• pp.103-118
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• 2003

This study presents a database quality evaluation framework. As a way to build a framework, this study expands data quality management to include data transformation processes as well as data. Further, an information structure graph is applied to represent data transformations processes. An information structure graph is absed on a relational database scheme. Thus, data transformation processes may be stored in a relational database. This kind of integration of data transformation metadata with technical metadata eases evaluation of database qualities and their causes.

• 간호행정학회지
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• 제18권2호
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• pp.222-233
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• 2012

Purpose: This study was conducted to develop an evaluation framework for QI activity in medical institutions and to analyze QI activity cases by applying the developed evaluation framework. Method: A four-phase process was employed to develop the evaluation framework, and a descriptive survey was used for the QI case study. Data were collected in April, 2010 by examining 157 QI activity cases presented at conferences and published in Journal of Korean Society of Quality Assurance in Health Care over the past three years. Developed QI activity evaluation instruments were used for data collection. Data were analyzed using the SPSS 18.0 for Windows program. Result: A QI Activity Evaluation Framework was developed. This framework consisted of 45 items. The department with the highest level of QI participation was the nursing department. The most frequent QI activity theme was patient safety. QI activity levels in Korean medical institutions are relatively equalized without significant differences according to institution characteristics. Conclusions: From the quality aspect of QI activity, more systematic and scientific approaches are required to upgrade QI activity. This study could provide methodological guidelines for QI activity and be useful in setting goals and directions for QI activity in medical institutions in Korea.

• International Journal of Advanced Culture Technology
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• 제11권1호
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• pp.290-295
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• 2023

The global warming by greenhouse gases causes climate change and disasters such as earthquakes and tsunamis frequently, leading to great damage. It is important to build efficient and scalable disaster response services to minimize the damage. Existing disaster warning service by the mobile text is limited by the scalability and the data size to be delivered. In this paper, we propose a framework for disaster response services that is efficient and flexible by allowing to adopt various indexing schemes and scalable by supporting any number of clients in disaster situations anytime and anywhere. Also, the framework by wireless data broadcast can be free from the limitation of the size of data to be delivered. We design and implement the proposed framework and evaluate the framework. For the evaluation, we simulate the implemented framework by adopting various indexing schemes like HCI, DSI and TTSI, and by comparing the access times of the clients. Through the evaluation, we show that the proposed framework can provide efficient and scalable and flexible disaster response services.

• 정보교육학회논문지
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• 제24권1호
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• pp.59-69
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• 2020

본 연구에서는 Computational Thinking 기반의 인공지능(AI)교육에 대한 학습자의 내재적 사고의 변화를 살펴보기 위한 평가도구 개발의 기준과 프레임워크를 구성하여 제시하고자 하였다. 이를 위해 데이터수집을 위한 인지적 학습보조(Agency)의 단계, 수집된 데이터의 특징을 분해하여 데이터의 패턴을 인식하고 카테고리화 과정을 수행하는 추상화(Abstracting)의 단계, 추상화과정을 수행한 정제된 데이터를 토대로 알고리즘을 구성하는 모델링(Modeling)단계의 일련의 순차적 과정이 평가요소로 구성되었다. 또한 학습자의 인식, 학습, 행동, 결과에 대한 인지적영역에 대한 평가가 구성되었으며, 학습자의 문제해결의 과정과 결과에 대하여 지식, 역량, 태도의 영역에 대하여 측정을 하게 됨으로써 AI교육에 대한 학습의 내재적인 인지영역의 변화와 결과에 대한 평가를 할 수 있도록 프레임 워크가 설계되었다. 연구의 결과는 교수학습의 맥락에 따른 개별화된 평가도구 개발에 대한 프레임워크를 구성하였다는 점에서 의미가 있으며, 향후 AI교육의 다양한 영역에서 활용될 수 있는 기준으로서 활용될 수 있을 것이다.

• 한국산업융합학회 논문집
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• 제25권6_2호
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• pp.1017-1027
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• 2022

Development of social overhead capital (SOC) requires huge national finance, and performance issues such as cost-efficiency, safety, and environment have been constantly raised. However, currently each construction client has limited access to its own projects' performance without analytic methodology for industry-level comparisons and benchmarking for improvement. To overcome this problem, this study proposes a comprehensive performance analysis framework for post-evaluation of large-scale construction projects. To this end, this study performed a case study of advanced countries (the U.S., the U.K. and Japan) and consultation with related experts to develop a tailored performance analysis framework for the Post- Construction Evaluation and Management system in Korea. The developed framework covers three categories (project performance, project efficiency, and ripple effect), nine areas (cost, schedule, change, safety, quality, demand, benefit-cost ratio, civil complaint, and defect), and 31 detailed metrics. Using industry-level project performance database and statistical techniques, the proposed framework can be used not only to diagnose excellent and unsatisfactory performance areas for completed construction projects, but also to provide reference data for future similar projects. This study can contribute to the improvement of clients' performance management practices and effectiveness of construction projects.

• International Journal of Knowledge Content Development & Technology
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• 제14권3호
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• pp.115-140
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• 2024

With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.

• 한국CDE학회논문집
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• 제5권1호
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• pp.50-60
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• 2000

XML and CORBA have vast potential to improve software interoperability and to facilitate data exchange across applications and people from various disciplines and vendors. This Paper describes a framework for the integration and validity evaluation of injection mold design problems in a network-oriented design environment, based on In and CORBA. An overview of the framework is provided and an application to a design phase of injection mold is illustrated. The example illustrates how design validities are notified and design directions are provided to the designer during design process.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.655-669
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• 2019

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such as economic globalization, sustainable development, a holistic index framework is difficult to establish in green supply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertainty and incompleteness and the index weight is variable. To solve these problems, an index framework is established after comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is put forward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paper is feasible and effective.

• 인터넷정보학회논문지
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• 제13권1호
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• pp.45-55
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• 2012

임상시험 전체 소요시간 및 비용의 절감, 임상 데이터 질의 향상을 위해 임상시험 전자자료의 관리가 점차 중요해지고 있다. 또한 임상시험 전자자료 관리는 전자 임상시험의 안정성 및 질을 위해 규정 가이드라인을 준수하는 것이 결정적으로 필요하다. 본 연구는 전자적 시스템을 활용한 임상시험에 있어 데이터 관리의 성과를 평가하기 위한 프레임웍을 개발하고자 한다. 연구의 목적을 위해 임상시험 프로세스에 근거하여 기반능력, 연구설계, 연구진행 및 연구완료 등 네 개의 주요 메트릭을 구성함으로써 데이터 관리의 수준을 측정할 수 있는 성과척도를 도출한다. 이때 각 성과척도의 도출 기준은 임상시험 자체가 지향하는 데이터의 질 향상, 전자자료 관리 프로세스의 비용과 효율성 및 규정 준수 수준 등 네 가지의 관리적 관심을 기준으로 하며, 각 성과척도 별로 전자자료 관리 프로세스 상 실질적으로 측정 가능한 측정지표를 제시한다. 평가 프레임웍은 네 가지의 주요 측정 메트릭에 근거하여, 세 개의 데이터 영역(연구기관, 모니터링, 데이터관리센터) 별로 구성된다. 본 평가 프레임웍의 개발은 전문가 의견 수렴을 통한 델파이 방법론으로 접근한 탐색적 연구로서 향후 실증적 후속 연구를 과제로 남기고 있다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 추계학술발표회 논문집
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• pp.361-366
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• 2004

Geographic Information has been used widely for landuse and management, city plan, and environment and disaster management, etc., But geographic information has been built for individual cases using various methods. Therefore, the discordancy in data, double investment, confusion of use and difficulty of decision supporting system have been occurred. In order to solve these problems, national government is need to framework database. This framework database was enacted for building and use of National Geographic Information System and focused on basic plan of the second national geographic information system. Also, the framework database was selected of eight fields by NGIS laws and 19 detailed items through meeting of framework committee since 2002. In this research, The 19 detailed items( road, railroad, coastline, surveying control point etc.,) of framework database consider a Priority order, In the result of this research, the framework database is obtain to a priority order for building and the national government will carry effectively out a budget for the framework database building. Each of 19 detailed items is grouping into using the priority order of the framework database by AHP analysis method and verified items by decision tree analysis method. The one of the highest priority order items is a road, which is important for building, continuous renovation, and maintain management for use.