• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.1008-1011
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• 2001

The purpose of this paper is to evaluate the chip breakability during turning using the experimental equation, which is developed by an orthogonal array method. The chip breaking index(CB), non-dimensional parameter is used in the evaluation of chip breakability. The analysis of variance(ANOVA)-test has been used to check the significance of cutting parameters. And using the result of ANOVA-test, the experimental equation of chip breakability, which consists of significant cutting parameters, has been developed.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.3
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• pp.321-342
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• 2013

The purpose of this study was to compare and evaluate retrieval effectiveness of three types of image perception using different retrieval methods. Image types included specific, general, and abstract topics. The retrieval method included text only search, query by example (QBE) search, and a hybrid/hybrid search. Thirty-two college students were recruited for searching topics using Google image search system. The search results were compared with One-Way and Two-Way ANOVA. As a result, text search and hybrid search showed advantage when searching for specific and general topics. On the other hand, the QBE search performed better than both the text-only and hybrid search for abstract topics. The results have implications for the implementation of image retrieval systems.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.152-161
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• 2019

This study analyzed the relationship of turnover intention of clinical nurses with self-leadership, job involvement, and empowerment. The participants were 173 clinical nurses working in D city and K province in Korea. Data analysis consisted of independent t-tests, ANOVA, Scheffe's tests, Pearson's correlations, and stepwise multiple regression conducted using SPSS WIN 21.0. There was a significant correlation between self-leadership, job involvement, empowerment and turnover intention. Factors affecting turnover intention were total clinical career, position, salary, marital status and job involvement. Total clinical career was the most influential factor, with an explanatory power of 28.7%. Based on the results, it is necessary to reduce turnover intention of nurses through the development of educational programs to increase job involvement and reorganization of the hospital organization system to manage nursing manpower resources efficiently.

• Journal of Korean Society of Archives and Records Management
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• v.22 no.1
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• pp.61-82
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• 2022

This study aims to investigate the factors influencing the learning satisfaction of records management cyber education that is opened and operated by the National Archives of Korea, as well as to improve the quality of cyber education program. Cyber education consisted of an introductory course, an intensive course, and a liberal arts course. As the major factors for learning satisfaction, "validity of content structure, interaction between professors and learners, learning motivation, active learning attitude, ease of use environment, and level of organizational support" were set. An online survey was conducted on the learning satisfaction according to the curriculum of each course. The survey was conducted to 107 institutions with specialized records management personnel, and additional in-depth interviews were also conducted. The survey analysis consisted of factor analysis, independent sample T-test, analysis of variance (ANOVA), correlation analysis, and multiple regression analysis. As a result of the study, the factors influencing learning satisfaction were found in the order of interaction between professors and learners, learning motivation, and validity of content structure.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.384-394
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• 2022

This study aimed to examine how COVID-19 affected life and health of welfare recipients by comparing groups associated with sex, living with children, and household type and suggest directions for welfare policy and services. Researchers collected a random sample of 500 recipients from 𐩒𐩒gu, Seoul who are registered in Haengbok E-eum, the social security information system and conducted a survey on overall life domains and physical and mental health. For data analysis, t-test, Anova and chi-square test were used. The results showed that factors of sex, living with children, and household type made significant differences in difficulties of employment status, child care, leisure and cultural activities and overall social activities. In terms of health status, mental health status and life satisfaction have been decreased after COVID-19. There were statistical differences in COVID blue and thinking about death among different groups. Based on these findings, this study suggested directions for welfare services for the future New Normal society.

• Transactions of the Korean hydrogen and new energy society
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• v.34 no.6
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• pp.712-721
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• 2023

While hydrogen is widely used, it has a low minimum ignition energy, raising safety concerns when using it. This research studied which parameters are the key variables in the hydrogen release and diffusion. These parameters were divided into six process variables in the initial release and two environmental variables in the dispersion. One hundred and twenty cases were selected through design of experiment, and the end-point in each case were analyzed using PHAST. Afterwards, an end-point prediction model was developed using RSM and ANOVA, and the impact of each variable on the endpoint was analyzed. As a result, the influence of eight variables was graded. The nozzle diameter had the greatest influence on the end-point, while the pipe roughness coefficient had no effect on the end-point. It is expected that these results will be used as basic data to improve safety across all fields of hydrogen handling facilities.

• The Korean Journal of Applied Statistics
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• v.24 no.2
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• pp.373-381
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• 2011

This paper discusses how to get the sums of squares due to treatment factors when Type I Analysis is used by projections for the analysis of data under the assumption of a two-way ANOVA model. The suggested method does not need to calculate the residual sums of squares for the calculation of sums of squares. There-fore, the calculation is easier and faster than classical ANOVA methods. It also discusses how eigenvectors and eigenvalues of the projection matrices can be used to get the calculation of sums of squares. An example is given to illustrate the calculation procedure by projections for unbalanced data.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.1
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• pp.113-118
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• 2018

In this research, we conducted a questionnaire using the existing developed digital literacy checklist for analyzing the digital literacy level of Reserve Officers' Training Corps in K-University. In order to verify the validity and reliability of the measurement results collected on the basis of the response results, factor analysis of the question was carried out using the statistical analysis program SPSS 21.0, for each research group, the ability level by each factor was analyzed. Based on the results of analysis using frequency analysis, T-test and One-way ANOVA, we suggested measures to improve digital literacy level of school district officer candidates.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.17 no.2
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• pp.201-222
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• 2006

The objective of this study is to analyze the actual using status of domestic e-book in the academic library and to help e-book related policy and its vitalization. The web survey of e-book user of A-junior college was conducted to carry out this study. Frequency analysis and descriptive statistics were used for analysing data basically. Also, t-test, ANOVA, non-parametric chi-square, and correlation analysis were used to examine whether there are any significant differences between treatment groups divided by gender, major etc. or not.

• Journal of Cadastre & Land InformatiX
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• v.50 no.1
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• pp.87-105
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• 2020

The government is trying to secure reliability by raising the accuracy, objectivity, and transparency of the official price by promoting the reliability improvement plan of the official price and increasing the realization rate, but the Realization rate of Publicly Notified Individual Land Price is showing a big difference because the current market price is not fully reflected in the official price. Therefore, this study collected the actual transaction price reported to the RTMS in Wansan-gu, Jeonju, Jeollabuk-do and the individual official price of the KRAS and calculated the realization rate of publicly notified individual Land Price. SPSS 25.0 program was used for the empirical analysis of this study. The Dependent Variable was the realization rate of publicly notified individual Land Price, and Independent Variables, was six land characteristics items were selected, one-way ANOVA was conducted and post-test was conducted by Scheffe method. As a result of the analysis, average difference in realization rate of publicly notified individual Land Price was found in Residential areas, Commercial areas, and Farmland, Public land and Residential and commercia, Residential and Forest. Especially, it was found that the price of commercial area is higher than that of residential area and green area, and the price is less reflected in individual official land price.