• IE interfaces
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• v.20 no.1
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• pp.41-48
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• 2007

The main purpose of this paper is cost reduction in absurd pilot positive expense and human accident prevention which is caused by in the pilot selection process. We use classification models such as logistic regression, decision tree, and neural network based on aptitude test results of 505 ROK Air Force applicants in 2001~2004. First, we determine the reliability and propriety against the aptitude test system which has been improved. Based on this conference flight simulator test item was compared to the new aptitude test item in order to make additional yes or no decision from different models in terms of classification accuracy, ROC and Response Threshold side. Decision tree was selected as the most efficient for each sequential flight training result and the last flight training results predict excellent. Therefore, we propose that the standard of pilot selection be adopted by the decision tree and it presents in the aptitude test item which is new a conference flight simulator test.

• Human Ecology Research
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• v.60 no.4
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• pp.625-643
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• 2022

The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school years. Determination of frequency of occurrence, generation of word clouds, centrality analysis, and topic modeling were performed using NetMiner 4.4. The key results were as follows. First, content analysis revealed that the number of questions and scores for each subject (field) has remained constant since 2020, unlike before 2020. In terms of subjects, most questions focused on 'theory of home economics education', and among the evaluation content elements, the highest percentage of questions asked was for 'home economics teaching·learning methods and practice'. Second, the network of the secondary school home economics teacher selection test covering the 2017-2022 school years has an extremely weak density. For the 2017-2019 school years, 'learning', 'evaluation', 'instruction', and 'method' appeared as important keywords, and 7 topics were extracted. For the 2020-2022 school years, 'evaluation', 'class', 'learning', 'cycle', and 'model' were influential keywords, and five topics were extracted. This study is meaningful in that it attempted a new research method combining content analysis and text network analysis and prepared basic data for the revision of the evaluation area and evaluation content elements of the secondary school home economics teacher selection test.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.384-392
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• 2011

Recruitment and selection are separate but mutually reinforcing processes. The goal of recruitment is to attract the largest number of applicants possible to apply to the agency, and selection is the process of weeding out unqualified candidates and identifying qualified candidates. In this context, the recruitment and selection system of police officials is an important issue because it affects their future performance as police officers on the job, especially their policing skills, perception of society, occupational ethics. This study suggested the characteristics of U. S. recruitment and selection system of police officials. In the U. S, each police agency sets up its own recruitment and selection standards and procedures. However, recruitment and selection process follows a certain sequence : receiving application, psychological examination, background check, polygraph test, drug screening, interview, physical agility, and medical test. Special characteristic of American police system regarding recruitment and selection is that many law enforcement agencies use a polygraph test to ensure the integrity of the candidates. Another interesting screening process is a drug test because many Americans abuse illegal drugs. A candidate officer must submit urine or a hair sample for screening test. Police human resources specialists should continually identify the most innovative tests and approaches recruit and select police officers. Recruitment and selection strategies should increasingly attract and retain those officers who have the attributes to work in a community-oriented policing environment.

• Journal of the Korean Society of Clothing and Textiles
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• v.12 no.2 s.27
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• pp.159-167
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• 1988

The purpose of this study was to investigate the relationship between Self-concept, Personal variables and Clothing selection behavior. Self-concept was measured with Choi Jung Hun's 'Perceptual Orientation Scale' and Clothing selection behavior scale was prepared for this study. The questionnaire were completed by 389 women in Taegu. Statistical analysis was performed using F-test, Scheffe's test. The results were as follows; 1. There was significant relationship between Self-concept and Clothing selection behavior. (individuality, conformity, economy, modesty). 2. There was significant difference in clothing selection behavior variables according to age. 3. There was significant difference in individuality and economy according to marital status. 4. There was significant difference in individuality, economy and modesty according to education level. 5. There was significant difference in clothing selection behavior variables according to monthly clothing expenses.

• Journal of Software Engineering Society
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• v.24 no.2
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• pp.35-45
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• 2011

Simulated annealing has been studied a long times. And it is one of the effective techniques for test data generation. But basic SA methods showed bad performance because of neighborhood selection strategies in the case of large input domain. To overcome this limitation, we propose new neighborhood selection approach, Branch Distance. We performs case studies based on the proposed approach to evaluate it's performance and to compare it whit basic SA and Random test generation. The results of the case studies appear that proposed approach show better performance than the other approach.

• Journal of the Korean Home Economics Association
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• v.23 no.4
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• pp.1-7
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• 1985

The aim of this study is to find out the relation-ship between personality and te factors for clothing selection. For the test, 396 high school girl students in Seoul were selected, respectively. The general personality test sheets by Kim Giseok and the questionnaire besed on Park Eunju's study on the factors for clothing selection were given to the sample group. RESULTS : 1. Behavior of clothing selection according to expression of individuality is sign ificantly correlated with ascendancy and sociability at the level of .001, and with emotional stability at .50. 2. Behavior of clothing selection according to utility is significantly correlated with resopnsibility and emotional stability at the level of .01. 3. Behavior of clothing selection according to economy is significantly correlated with ascendancy and self-confidence at the level of .01, and with responsibility and sociablity at .05. 4. Behavior of clothing selection according to modesty is significantly correlated with ascendancy and sociability at level of .001, and with self-confidence at .01. 5. Behavior of clothing selection according to conformity is significantly correlated with ascendancy, emothional stability, and self-confidence at the level of .001, and with sociability at .05.

• Journal of the Korea Fashion and Costume Design Association
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• v.2 no.1
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• pp.51-74
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• 2000

The purposes of the study were to investigate the differences of female students' clothing selection criteria and their life styles according to their demographic data and to examine the differences of their clothing selection criteria according to their life styles. The data were collected from 400 female college students in Chungju city through self-administerd questionnaires, and were analyzed by frequencies, Cronbach' s α, F­test, Factor Analysis, Cluster Analysis, one way ANOVA and Duncan Test. The results of the study were as follows: There were significant differences between variables of clothing selection criteria according to student's major, father's education level, family's monthly income, student's monthly expenditure on clothing and her companion when purchasing her clothing. Life styles were classified five types. The dimensions of life style were significantly different according to student's major and monthly expenditure on clothing. There were significantly different between life style dimensions and clothing selection criteria.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.3
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• pp.11-18
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• 2004

It is making researches in questions selection method for examination in web-based education system. Most questions made for these remote examinations use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. This paper proposes a new examination questions selection algorithm in web-based education system for engineer test. Generally, Engineer test is characterized by adequate examination questions selection for degree of difficulty and equally between all units. Therefore this algorithm selected examination questions equally well as regards degree of difficulty and distribution between all units. This algorithm providers more effective education examination method as compared with previous algorithm.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2815-2817
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• 2002

Classification method of cancers using cDNA microarrays data was developed using genetic algorithms and neural networks. For gene selection, 2308 genes were ranked using genetic algorithms, and selected by frequency number of selection from 1000 of genetic iterative runs. To calculate fitness values, artificial neural networks are used as classifier. The small, round blue cell tumors (SRBCTs) which is difficult to distinguish via pathological single test was used as test diseases for classification, and the test results showed the 96% of exact classification capability for 25 test samples.

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.84-94
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• 2013

The study analyzes the effects of self-esteem on body satisfaction, clothing satisfaction, and clothing selection criteria, the effects of body satisfaction on clothing satisfaction and clothing selection criteria, and the effects of clothing selection criteria on clothing satisfaction. The questionnaire developed by the researcher was distributed to 160 women between 40 and 65 years of age in Seoul or Gyeonggi-do. One hundred fifty one questionnaires were used in the final analysis. The data were analyzed by common factor analysis, multiple linear regression, t-test, ANOVA, and Tukey's test using SPSS 18.0/Windows. The results demonstrate that clothing selection criteria is classified into design, quality, practicality, and economics. There was a significant effect of self-esteem on body satisfaction, and significant effects of body satisfaction on clothing satisfaction and on factors of design, quality, economics in clothing selection criteria. Factors such as design, practicality, and economics contributed to clothing satisfaction. Significant differences were found in self-esteem between age groups as well as self-esteem and body satisfaction among groups according to education level and monthly income.