• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.129-136
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• 2023

The government of the Republic of Korea is conducting quality management of public open data by conducting a public data quality management level evaluation. Public open data is provided in various open formats such as XML, JSON, and CSV, with CSV format accounting for the majority. When diagnosing the quality of public open data in CSV format, the quality diagnosis manager determines and diagnoses the domain for each field based on the field name and data within the field of the public open data file. However, it takes a lot of time because quality diagnosis is performed on large amounts of open data files. Additionally, in the case of fields whose meaning is difficult to understand, the accuracy of quality diagnosis is affected by the quality diagnosis person's ability to understand the data. This paper proposes a domain discrimination model for public open data in CSV format using field names and data distribution statistics to ensure consistency and accuracy so that quality diagnosis results are not influenced by the capabilities of the quality diagnosis person in charge, and to support shortening of diagnosis time. As a result of applying the model in this paper, the correct answer rate was about 77%, which is 2.8% higher than the file format open data diagnostic tool provided by the Ministry of Public Administration and Security. Through this, we expect to be able to improve accuracy when applying the proposed model to diagnosing and evaluating the quality management level of public data.

• Journal of radiological science and technology
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• v.45 no.3
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• pp.263-272
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• 2022

This study investigated small and medium-sized hospital workers' knowledge of COVID-19, the infection-control-related fatigue and stress levels, and the factors that impacted their performance during the COVID-19 pandemic. Using a cross-sectional design, data were collected from 137 hospital workers from four small and medium-sized hospitals in S and C cities. Data were analyzed using descriptive statistics, a t-test, analysis of variance(ANOVA), Pearson's correlation coefficient, and multiple linear regression analysis. Small and medium-sized hospital workers' knowledge of COVID-19 revealed a correct answer rate of 66%. An average of 3.00 points out of 4 for infection control performance and 3.32 and 3.17 points out of 5 for infection-control-related fatigue and stress, respectively, were found. The level of knowledge regarding COVID-19 significantly differed by age and marriage (p<0.05), while infection control performance significantly differed by age, marriage, and infection control education experience (p<0.05). Infection-control-related fatigue and stress differed depending on the COVID-19 control education experience, economic and social prejudice, and fear of discrimination. There were positive correlations between knowledge and infection control performance, and infection control performance and infection-control-related fatigue and stress (p<0.001). This study showed that the factors that affected small and medium-sized hospital workers' performance included knowledge of "environmental management," "difficulties due to new role requirements," "presence or absence of infection education experience," "job type," and "age." These results suggest that practical and detailed education programs should be systematically developed and implemented for effective infection control.

• Journal of Forest and Environmental Science
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• v.14 no.1
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• pp.145-156
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• 1998

On the basis of data obtained from 5 forest roads(Backyang, Byongatae, Saorang, Bukyu and Dangrim forest road) collapsed under a heavy rainfall in Chunchon, Kangwondo, this study was carried out to predict the cutting slope failure of forest road by using Quantification theory(II). The results were summarized as follows; The cutting slope failure was chiefly occurred by correlated action of road structure, vegetation and topographical factors. The cutting slope failure predicted by partial correlation coefficients and range values was characterized by longer than 8m of cutting slope length, depper than 2.5m of soil depth, between $30^{\circ}$ and $50^{\circ}$ of original ground slope gradient, absence of vegetation coverage on cutting slope, and greater than $60^{\circ}$ of cutting slope gradient. And the rate of correct discrimination by analysis of cutting slope failure was 90.1%.

• Journal of Korean Society of Forest Science
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• v.89 no.3
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• pp.397-404
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• 2000

This study was carried out to investigate the influence of the road structure and site conditions on side-ditch stability of forest road. For experimental purposes, the forest road in the Kwangrung Experimental Forest, Korea Forestry Research Institute, was chosen as a study site. A total of 556 plots wes set up as every longitudinal gradient changing points by belt-transect method. Data of 10 road structural characteristics and side-ditch stability were collected from each plot and analysed by Quantification II. The main factors in order of partial correlation coefficient were longitudinal gradient, road position, inclination of cut-slope, constituent material of cut-slopes, distance of surface flow, cross-sectional shape of road, pavement material, vegetation of cut-slopes and length of cut-slope. The erosion of side-ditch of forest road occurred in the following cases; more than 8% of the longitudinal gradient, road position of hill under side and foot hill, more than $50^{\circ}$ of inclination of cut-slope, constituent material of cut-slopes of hard soil and gravel soil, more than 80m of distance of surface flow, pavement material with earth or gravel, more than medium covered of vegetation of cut-slopes, and the straight and convex form of road-bed.

• Analytical Science and Technology
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• v.34 no.3
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• pp.134-141
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• 2021

In this study, the fatty acid (FA) composition of commercial sesame oils (n = 62) was investigated using gas chromatography with flame ionization detector (GC-FID). Multivariate statistical techniques, including principal component analysis (PCA) and linear discriminant analysis (LDA), were applied to the chromatographic data of the FAs to discriminate the geographical origin of sesame oils. A statistically significant difference was observed in the content of C16:0, C18:0, C18:1, and C18:2 between domestic and imported sesame oils. A satisfactory recovery rate of 82.8-100.2 % was achieved for C16:0, C18:0, C18:1, C18:2, and C18:3. The correlation of C16:0, C18:1, and C18:2 in domestic sesame oils showed opposite trends compared to imported oils. The PCA plot demonstrated that sesame oils were clustered in distinct groups according to their origin. LDA was used to predict sesame oil samples in one of the two groups. C16:0 (Wilks λ = 0.361) and C18:1 (Wilks λ = 0.637) demonstrated the highest discriminant power for classifying the origin of the samples. The correct prediction rates were 88.9 % and 100 % for the domestic and imported samples, respectively. Further, 60 of the 62 sesame oil samples (96.8 %) were correctly classified, indicating that this approach can be used as a valuable tool to predict and classify the geographical origin of sesame oils.

• Korean Journal of Social Welfare
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• v.61 no.1
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• pp.163-194
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• 2009

The purposes of the presented study were to investigate the characteristics related to the acculturation strategies and to investigate characteristics which discriminated the acculturation strategies among immigrated women in Korea based on the multidimensional perspective on acculturation. The study was designed as a social survey study. Data from 346 immigrated women were analyzed. Findings indicated that 37% of the respondents were marginalization, 30% were integration, 18% were segregation, and 15% were assimilation. Integration was associated with Vietnam nationality, younger age, lower level of education. Assimilation was related to longer period of residence, higher number of children, lower level of resilience. Marginalization was associated with North Korea, Japan, China nationality, older age, higher level of education. Segregation was related to older age, higher level of education, lower number of children. Also, Southeast nationality, age, level of education, spouse, and number of children significantly discriminated the acculturation strategies. Especially, the rate of correct discrimination was 80% only for integration. Practical implications from this study were discussed.