• 정보처리학회논문지:소프트웨어 및 데이터공학
• /
• 제6권2호
• /
• pp.57-66
• /
• 2017

데이터 거버넌스는 연구초기 단계의 영역이므로 개념정의와 구성요소 정립에 연구가 집중되어 있다. 그러나 데이터 거버넌스의 도입에 대한 의사결정을 돕기 위해서 데이터 거버넌스의 평가에 관한 연구 또한 필요하다. 본 연구는 데이터 거버넌스 프레임워크에서 데이터 거버넌스를 평가하기 위한 속성지표에 관한 연구이다. 이를 위하여 RGT와 Laddering기법을 적용하여 전문가 인터뷰를 실시하였고, 이 결과를 제3자 차원의 검증을 위해서 설문과 통계적인 검증분석을 실시하였다. 통계적인 분석에는 크론바하 알파 계수, MANOVA, 상관분석을 실시하였다. 이를 통해서 데이터 거버넌스 속성지표를 데이터 통제영역에는 8개의 속성지표, 데이터 품질영역에 16개의 속성지표, 데이터 조직영역에 7개의 속성지표를 도출하였다. 또한 AHP기법을 적용하여 속성지표의 가중치와 우선순위를 선별하였다. 이 연구결과는 데이터 거버넌스의 개념정립과 구성요소의 명확한 이해 및 기업의 거버넌스 도입과 운영의 기초자료로 활용될 것이다.

• 한국농공학회논문집
• /
• 제62권2호
• /
• pp.39-52
• /
• 2020

A high quality, long-term, high-resolution precipitation dataset is an essential in climate analyses and global water cycles. Rainfall data from station observations are inadequate over many parts of the world, especially North Korea, due to non-existent observation networks, or limited reporting of gauge observations. As a result, satellite-based rainfall estimates have been used as an alternative as a supplement to station observations. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are recently produced satellite-based rainfall products with relatively high spatial and temporal resolutions and global coverage. CHIRPS is a global precipitation product and is made available at daily to seasonal time scales with a spatial resolution of 0.05° and a 1981 to near real-time period of record. In this study, we analyze the applicability of CHIRPS data on the Korean Peninsula by supplementing the lack of precipitation data of North Korea. We compared the daily precipitation estimates from CHIRPS with 81 rain gauges across Korea using several statistical metrics in the long-term period of 1981-2017. To summarize the results, the CHIRPS product for the Korean Peninsula was shown an acceptable performance when it is used for hydrological applications based on monthly rainfall amounts. Overall, this study concludes that CHIRPS can be a valuable complement to gauge precipitation data for estimating precipitation and climate, hydrological application, for example, drought monitoring in this region.

• 한국IT서비스학회지
• /
• 제11권2호
• /
• pp.147-167
• /
• 2012

In this paper, we attempted to theorize the multi-faceted impacts of smart work on economic activities. In this vein, we adopted socio-economic perspective which includes individual, firm, and social support aspects, and explored the variables related to the quality of life among them. First, smart work patterns are categorized as telework, mobile office, teleconferencing, and social collaboration. And relevant variables are extracted with reference to industrial cases and relevant literatures which investigated economic impacts of digital convergence. Next, with the data collected from experts, following delphi method, validation of variables and explorations of significant factors affecting quality of life were conducted by adopting stepwise regression method. The distinguishing traits of this research are two-folds. The one is the investigation of social support and quality of life aspects of smart work, which has been relatively limited in the digital convergence research field. The other is the comparative analysis of smart work advantages by distinguishing individual and firm aspects separately. The result offers useful insights for socio-economic perspective researches on digital convergence application area.

• Child Health Nursing Research
• /
• 제21권2호
• /
• pp.115-122
• /
• 2015

Purpose: The purpose of this study was to validate the Korean version of the TNO-AZL Preschool Children Quality of Life (TAPQOL) questionnaire for children aged 18-60 months. Methods: The participants were 223 mothers of healthy children from nurseries and kindergartens, and 54 mothers of hospitalized children from a university children's hospital in Korea. Data were collected in 2011. Principal component factor analysis and known-groups method were used to confirm construct validity, and internal consistency was used to determine reliability. Results: According to the factor analysis, 11 factors with an eigenvalue over 1 were extracted, and these factors explained 73.5% of the variance. All dimensions except two had Cronbach's alpha coefficients greater than .7. The mean TAPQOL scores of the hospitalized group were significantly lower than those of the healthy group (p=.001) for all four functions (physical, emotional, social, and cognitive). Conclusion: The TAPQOL showed acceptable validity and reliability, and can be used to measure children's health-related quality of life in Korea, and can be considered for use in other Asian countries.

• 보건의료산업학회지
• /
• 제9권4호
• /
• pp.1-12
• /
• 2015

Objectives : The aim of this research was to develop evaluation indicators that ensure safe services and enhance the quality of small-sized dental hospitals within local communities to prepare for the dental hospital accreditation system. Methods : Materials and data from a total of 460 respondents were analyzed after quality improvement indicators were formed by surveying experts and studying documents in Korea and abroad, and by conducting a survey from August 21, 2013 to September 30, 2013 for validation purposes. Results : Based on the results of factor analysis. all measured items appeared to be statistically significant with a factor loading score of at least 0.5, and the correlation between the factors all appeared to be high as well. The goodness-of-fit for the model also appeared to be within the recommended acceptance level. Thus, the proposed evaluation indicators for dental hospital accreditation developed in this study consisted of a total of seven major category factors and a total of 91 detailed items. Conclusions : Furthermore, the results suggest that the evaluation indicators can be used to improve the quality and to ensure the safe services of dental hospitals in local communities.

• 유통과학연구
• /
• 제4권2호
• /
• pp.65-80
• /
• 2006

본 연구는 백화점 상황에서 지각된 품질, 고객가치 차원(실용적 가치와 쾌락적 가치) 및 고객만족간의 관계에 영향을 미치는 관계를 조사하고자 한다. 즉, 지각된 품질은 실용적 가치와 쾌락적 가치 및 고객만족에 어떤 영향을 미치는지 그리고 실용적 가치와 쾌락적 가치가 고객만족에 어떤 영향을 미치는지 조사하였다. 본 연구의 결과는 지각된 품질은 실용적 가치, 쾌락적 가치 및 고객만족에 그리고 실용적 가치와 쾌락적 가치는 고객만족에 통계적으로 유의한 양의 관계가 있는 것으로 나타났다. 이러한 결과를 바탕으로 백화점 소매상을 위한 시사점을 제공하였으며, 또한 연구의 한계점과 미래연구방향을 제시하였다.

• 인터넷정보학회논문지
• /
• 제23권2호
• /
• pp.79-86
• /
• 2022

본 논문은 역공학 기반 소프트웨어 가시화를 통해 설계 개선 실현과 고품질화에 초점을 두고 있다. 앞으로의 4차 산업의 다양한 영역에서 새로운 기술과 복잡한 소프트웨어가 대두됨에 따라 안정성과 신뢰성을 겸비한 소프트웨어 검증이 이슈화되고 있다. 간단한 연산 소프트웨어부터 기계 학습기반의 데이터 지향 소프트웨어까지 다양한 소프트웨어 고품질화를 위한 역공학 기반 UML 설계 추출 및 가시화 방법을 제안한다. 이를 기반으로 목표 설계에 대한 정확도를 확인하고 코드 내부 복잡도 식별을 이용하여 설계 개선을 통한 소프트웨어 품질 향상을 기대한다.

• Design & Manufacturing
• /
• 제15권1호
• /
• pp.48-56
• /
• 2021

The quality of products produced by injection molding process is greatly influenced by the process variables set on the injection molding machine during manufacturing. It is very difficult to predict the quality of injection molded product considering the stochastic nature of manufacturing process, because the process variables complexly affect the quality of the injection molded product. In the present study we predicted the quality of injection molded product using Artificial Neural Network (ANN) method specifically from Multiple Input Single Output (MISO) and Multiple Input Multiple Output (MIMO) perspectives. In order to train the ANN model a systematic plan was prepared based on a combination of orthogonal sampling and random sampling methods to represent various and robust patterns with small number of experiments. According to the plan the injection molding experiments were conducted to generate data that was separated into training, validation and test data groups to optimize the parameters of the ANN model and evaluate predicting performance of 4 structures (MISO1-2, MIMO1-2). Based on the predicting performance test, it was confirmed that as the number of output variables were decreased, the predicting performance was improved. The results indicated that it is effective to use single output model when we need to predict the quality of injection molded product with high accuracy.

• 대기
• /
• 제20권4호
• /
• pp.415-426
• /
• 2010

A Land cover map over East Asian region (Kongju national university Land Cover map: KLC) is classified by using support vector machine (SVM) and evaluated with ground truth data. The basic input data are the recent three years (2006-2008) of MODIS (MODerate Imaging Spectriradiometer) NDVI (normalized difference vegetation index) data. The spatial resolution and temporal frequency of MODIS NDVI are 1km and 16 days, respectively. To minimize the number of cloud contaminated pixels in the MODIS NDVI data, the maximum value composite is applied to the 16 days data. And correction of cloud contaminated pixels based on the spatiotemporal continuity assumption are applied to the monthly NDVI data. To reduce the dataset and improve the classification quality, 9 phenological data, such as, NDVI maximum, amplitude, average, and others, derived from the corrected monthly NDVI data. The 3 types of land cover maps (International Geosphere Biosphere Programme: IGBP, University of Maryland: UMd, and MODIS) were used to build up a "quasi" ground truth data set, which were composed of pixels where the three land cover maps classified as the same land cover type. The classification results show that the fractions of broadleaf trees and grasslands are greater, but those of the croplands and needleleaf trees are smaller compared to those of the IGBP or UMd. The validation results using in-situ observation database show that the percentages of pixels in agreement with the observations are 80%, 77%, 63%, 57% in MODIS, KLC, IGBP, UMd land cover data, respectively. The significant differences in land cover types among the MODIS, IGBP, UMd and KLC are mainly occurred at the southern China and Manchuria, where most of pixels are contaminated by cloud and snow during summer and winter, respectively. It shows that the quality of raw data is one of the most important factors in land cover classification.

• Safety and Health at Work
• /
• 제2권3호
• /
• pp.229-235
• /
• 2011

Objectives: In this study, we summarized the External Quality Assessment Scheme (EQAS) for the biological monitoring of occupational exposure to toxic chemicals which started in 1995 and continued until a $31^{st}$ round robin in the spring of 2010. The program was performed twice per year until 2009, and this was changed to once a year since 2010. The objective of the program is to ensure the reliability of the data related to biological monitoring from analytical laboratories. Methods: One hundred and eighteen laboratories participated in the $31^{st}$ round robin. The program offers 5 items for inorganic analysis: lead in blood, cadmium in blood, manganese in blood, cadmium in urine, and mercury in urine. It also offers 10 items for organic analysis, including hippuric acid, methylhippuric acid, mandelic acid, phenylglyoxylic acid, N-methylformamide, N-methylacetamide, trichloroacetic acid, total trichloro-compounds, trans,trans-muconic acid, and 2,5-hexanedione in urine. Target values were determined by statistical analysis using consensus values. All the data, such as chromatograms and calibration curves, were reviewed by the committee. Results: The proficiency rate was below 70% prior to the first round robin and improved to over 90% for common items, such as PbB and HA, while those for other items still remained in the range of 60-90% and need to be improved up to 90%. Conclusion: The EQAS has taken a primary role in improving the reliability of analytical data. A total quality assurance scheme is suggested, including the validation of technical documentation for the whole analytical procedure.