• Korean Journal of Health Education and Promotion
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• v.15 no.1
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• pp.151-163
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• 1998

The purpose of this study is to find options which reduce the job stress and to enhance morale through a variable analysis, and also apply this data in the legal and administration fields. The data for the research was obtained from 217 dental hygienists working in the dental clinics, dental hospitals and university's dental hospitals' in Seoul. The tool used by this study was a Questionnaire measuring on-the-job stress of dental hygienists, was a modified and revised. The Questionnaire version used to measure bank's job stress and used to suggest options by Dae-ha Yoon(1991). Classification of items for measuring job stress was based on Theoretical Study on Job Stress by Dae-hyon Song(1986). The scale used in study was the two points (yes or no in the job stress) scale measuring for variables. The period of data collection was 30 days from December 4, 1995 to January 5, 1996. The methods of data collection were self-writing, direct visit, and postal Questionnaire answering, 224 copies of Questionnaire data were collected, but only 217 copies were used. 7 copies could not be analyzed, were not used for this study. The data analysis was conducted by SPSS after coding the collected raw data. The general characteristics was obtained from real digits and percentages. In order to analyze the difference of sub-variables against the job stress based on general characteristics. Mean, Standard Deviation, and F test (ANDVA) were conducted. The following were the results of job stress variables: 1. Meaningful variable affecting the working organization, is compensation system(p〈0.03). 2. Meaningful variable affecting the working period, is work overload(p〈0.02). 3. Meaningful variable affecting average patients per day, is the career management and payment(p〈0.04, p〈0.01). 4. Meaningful variable affecting number of staff, is the comrade relationship, role conflict among patients, work overload, and job overload(p〈0.000, p〈0.05, p〈0.04, p〈0.01). The comrade relationship is most affected to the number of staffs aides. 5. Meaningful variables affecting job diversion, are the desire and value, the non-role play, and the environment(p〈0.003, p〈0.02, p〈0.005).

• The Journal of Korean Physical Therapy
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• v.28 no.1
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• pp.52-58
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• 2016

Purpose: This study intended to mediate shoulder exercise using grasping and investigate examine how its effects on affects activities of the shoulder surrounding muscles of the shoulder and thickness of shoulder muscle to suggest effective exercise for patients with rotator cuff repair to return to daily life. Methods: This study has been done targeteding male patients more than 6 weeks after having En-masse Suture Bridge Technique as rotator cuff repair of the right shoulder, aged 40 to 55 in a medical institution located in Jeollanam-do. Experimental group I (n=15) was selected for a conducting common exercise therapy program and Experimental group II (n=15) was selected for an conducting exercise therapy program using grasping. %RVC was measured by surface electromyography and muscle thickness was measured by ultrasound before mediation to for analysisze of before and after results within group and between groups. Results: In comparison of change of %RVC, Tthere were meaningful differences in only posterior deltoid and infraspinatus in comparing a change of %RVC within experimental group I (p<0.001),. and Tthere were meaningful differences in both supraspinatus and infraspinatus in muscle thickness within experimental group I (p<0.001). In comparison of change of %RVC, Tthere were meaningful differences in anterior deltoid, posterior deltoid and infraspinatus in comparing a change of %RVC within experimental group II (p<0.05)(p<0.01) (p<0.001), and there were meaningful differences in both supraspinatus and infraspinatus in muscle thickness within experimental group II (p<0.001). In comparison of change of %RVC between groups, Tthere was a meaningful difference in only posterior deltoid in comparing a change of %RVC between groups (p<0.001). Conclusion: We found that exercise therapy using grasping has a positive effect on shoulder stability muscles such as supraspinatus muscle and infraspinatus muscle and activity of deltoid muscle.

• Journal of Korean Elementary Science Education
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• v.27 no.1
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• pp.1-8
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• 2008

The purpose of this study was to analyze students', preservice teachers and inservice teachers' images of scientists. For the purpose of this study, we selected 711 people. The results generally was showed the students, preservice teachers and inservice teachers have the stereotyped image of scientists. When we group the subject of investigation as elementary-school students, middle-school students, high-school students, preservice teachers, inservice elementary-school teachers, and looked into whether there were meaningful differences among them by the method of ANOVA, we could see the meaningful differences (p<0.05). And also elementary-school students showed the meaningful difference from other groups when examined on the $Scheff{\acute{e}}$ test.

• Journal of the Korean Data and Information Science Society
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• v.19 no.3
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• pp.925-936
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• 2008

An association rule mining finds the relation among each items in massive volume database. In generating association rules, the researcher specifies the measurements randomly such as support, confidence and lift, and produces the rules. The rule is not produced if it is not suitable to the one any condition which is given value. For example, in case of a little small one than the value which a confidence value is specified but a support and lift's value is very high, this rule is meaningful rule. But association rule mining can not produce the meaningful rules in this case because it is not suitable to a given condition. Consequently, we creat insignificant error which is not selected to the meaningful rules. In this paper, we suggest clustering technique to association rule measures for finding effective association rules using measure of association.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2002.06a
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• pp.139-152
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• 2002

Gene-shaving(Hastie et al, 2000) is a very useful method to identify a meaningful group of genes when the variation of expression is large. By shaving off the low-correlated genes with the leading principal component, the primary genes with the coherent expression pattern can be identified. Gene-shaving method works well If expression levels are varied enough, but it may not catch the meaningful cluster in low expression level or different expression time even with coherent patterns. The sliding window gene-shaving method which is to apply gene-shaving in each sliding window after hierarchical clustering is to compensate losing a meaningful set of genes whose variation is not large but distinct. The performance to identify expression patterns is compared for the simulated profile data by the different variance and expression level.

• Journal of Korean Institute of Industrial Engineers
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• v.38 no.1
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• pp.67-73
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• 2012

Identification of meaningful patterns and trends in large volumes of text data is an important task in various research areas. In the present study we crawled the keywords from the abstracts in IIE Transactions, one of the representative journals in the field of Industrial Engineering from 1969 to 2011. We applied low-dimensional embedding method, clustering analysis, association rule, and social network analysis to find meaningful associative patterns of key words frequently appeared in the paper.

• Proceedings of the KIEE Conference
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• 1995.07b
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• pp.959-961
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• 1995

The objective of most image proccessing applications is to extract meaningful information from one or more pictures. It is accomplished efficiently using neural networks, which is used in image classification and image recognition. In neural networks, background and meaningful information are processed with same weight in input layer. In this paper, we propose the image classification method using neural networks, especially EBP(Error Back Propagation). Preprocessing is needed. In preprocessing, background is compressed and meaningful information is emphasized. We use the quadtree approach, which is a hierarchical data structure based on a regular decomposition of space.

• Journal of the Korea Society of Computer and Information
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• v.22 no.5
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• pp.51-56
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• 2017

The purpose of this study was to identify differences in cognitive function according to the presence or absence of apraxia and the tasks most relevant to the cognitive function among the various types of tasks in the apraxia test. The subjects were 42 community residents who participated in a cognitive rehabilitation program related to dementia in a Chungbuk area. MMSE-K and BCoS(Birmingham Cognitive Screen) apraxia test were administered to all subjects. The apraxia test includes three types of tasks, gesture production tasks that make meaningful movements according to verbal instructions, gesture recognition tasks that display behavior after make sense of meanings, and meaningless imitation task. Apraxia group(n=30, MMSE-K mean score: 25) showed lower cognitive function than group without apraxia(n=12, MMSE-K mean score: 28). All tasks in the apraxia test showed a significant correlation with cognitive function, but the meaningless imitation task had a negligible correlation. The apraxia test is a good way to assess cognitive function, and it may be more effective to use meaningful behavior to replace cognitive testing.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.5
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• pp.453-460
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• 2015

Identification of meaningful patterns and trends in large volumes of text data is an important task in various research areas. In the present study, we propose a procedure to find meaningful tendencies based on a combination of text mining, cluster analysis, and low-dimensional embedding. To demonstrate applicability and effectiveness of the proposed procedure, we analyzed the inaugural addresses of the presidents of the United States from 1789 to 2009. The main results of this study show that trends in the national policy agenda can be discovered based on clustering and visualization algorithms.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.3
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• pp.436-445
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• 2012

The study aims to analyze of factors influencing on the mentoring participation of college student for low-income children using Cooper's multiple lense. The multidimensional policy analysis model is composed of the normative dimension, structural dimension, constructive dimension, technological dimension. The results of the research are as follows. First, the education difference solution shows the meaningful positive relationship in the category of normative dimension. Second, the budget and support setup shows the meaningful positive relationship in the category of technological dimension. But other factors do not show the meaningful influence.