• Journal of Forest and Environmental Science
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• v.9 no.1
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• pp.57-66
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• 1993

The purpose of this study is to offer detailed topographic information for substantially selecting the yarding machine for mechanized yarding operations, classifying the forest site by cluster analysis and principal component analysis, and investigating simultaneously the variables which give much influence on the classification of forest site in forestry build-up region (21, 477ha) of Chunchon Gun, Kwangweon Do. Ten topographic variables were used for the analysis. The results of study were as follows : 1) Gosung region (2, 252ha) was classified into hilly terrain (57%) and steep terrain (43%) and required the tractor prehauling system for the former one and the medium skyline system for latter one, respectively. 2) 65% of Gajung region (2,306ha) and 67% of Kwangpan region (2, 627ha) were classified into steep terrain fitted for the medium skyline system and the portion of both region showed the hilly terrain for the tractor prehauling system. 3) Jiam region (4, 591ha), consisted only of steep terrain, required the medium skyline system. 4) Gunja region (3, 400ha), Sudong region (3, 984ha) and Sinpo region (2, 340ha) were classified into steep terrain, requiring the medium skyline system, with 85%, 75%, and 75%, respectively.

• Management & Information Systems Review
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• v.9
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• pp.25-39
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• 2002

We consider the Fuzzy clustering which is devised for partitioning a set of objects into a certain number of groups by assigning the membership probabilities to each object. The researches carried out in this field before show that the Fuzzy clustering concept is involved so much that for a certain set of data, the main purpose of the clustering cannot be attained as desired. Thus we propose a new objective function, named as Fuzzy-Entroppy Function in order to satisfy the main motivation of the clustering which is classifying the data clearly. Also we suggest Mean Field Annealing Algorithm as an optimization algorithm rather than the. ISODATA used traditionally in this field since the objective function is changed. We show the Mean Field Annealing Algorithm works pretty well not only for the new objective function but also for the classical Fuzzy objective function by indicating that the local minimum problem resulted from the ISODATA can be improved.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.6
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• pp.36-41
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• 2002

We consider the Fuzzy clustering which is devised for partitioning a set of objects into a certain number of groups by assigning the membership probabilities to each object. The researches carried out in this field before show that the Fuzzy clustering concept is involved so much that for a certain set of data, the main purpose of the clustering cannot be attained as desired. Thus we propose a new objective function, named as Fuzzy-Entroppy Function in order to satisfy the main motivation of the clustering which is classifying the data clearly. Also we suggest Mean Field Annealing Algorithm as an optimization algorithm rather than the ISODATA used traditionally in this field since the objective function is changed. we show the Mean Field Annealing Algorithm works pretty well not only for the new objective function but also for the classical Fuzzy objective function by indicating that the local minimum problem resulted from the ISODATA can be improved.

• Management & Information Systems Review
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• v.14
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• pp.51-65
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• 2004

We consider the Fuzzy clustering which is devised for partitioning a set of objects into a certain number of groups by assigning the membership probabilities to each object. The researches carried out in this field before show that the Fuzzy clustering concept is involved so much that for a certain set of data, the main purpose of the clustering cannot be attained as desired. Thus we Propose a new objective function, named as Fuzzy-Entroppy Function in order to satisfy the main motivation of the clustering which is classifying the data clearly. Also we suggest Mean Field Annealing Algorithm as an optimization algorithm rather than the ISODATA used traditionally in this field since the objective function is changed. We show the Mean Field Annealing Algorithm works pretty well not only for the new objective function but also for the classical Fuzzy objective function by indicating that the local minimum problem resulted from the ISODATA can be improved.

• Journal of the Korean Society of Clothing and Textiles
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• v.15 no.2 s.38
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• pp.151-162
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• 1991

The purpose of this study was to examine the point at issue unfitness and unclassification in figures for clothing construction. Comparing measurements of 3 sold figures and physical body by Suck·Go method and 19 items were selected. These items were acquired by factor analysis and cluster analysis an measurements of 200 women in twenties. The results were as follows; 1. Comparison between measurement of figures and physical body; There was not so much difference among figures, but significant difference between figures and physical body. 2. Comparison between measurement of surface area of figures and physical body; There was similar to each figure, but significant difference between figures and physical body. Mostly, figures were bigger than physical body in front parts but smaller in back parts. 3. There were 8 items selected by factor analysis; That is bust girth, waist girth, hip girth, neck base girth, posterior waist length, bust point length, chest breadth and armscye girth. 4. There were 7 clusters selected by cluster analysis.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.149-151
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• 2006

This Study has the influence on the viewing determinative factors of pro-soccer sporting events base on viewing satisfaction. To attain the goal of the study described above paragraphs, some viewers of '06 season pro-soccer games held in Daejeon province was set as a collected group. Then, using the stratified cluster random sampling method, finally drew out and analyzed 388 people. The material collection device was the brochure named . To analyze materials, the regression analysis techniques. The conclusion based on above study method and the result of material analysis are here below. The pro-soccer sporting events viewing determinative factors influence on viewing satisfaction.

• Microbiology and Biotechnology Letters
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• v.39 no.2
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• pp.133-139
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• 2011

In this study, we determined the changes in microbial numbers in solar salts according to the manufacturing process and storage duration. The salt samples were harvested from salt farms in Shinan (area 2) and Yeonggwang (area 1). They were serially diluted ten-fold and then placed on 4 kinds of cultivable media (mannitol salt agar, eosin methylene blue, plate count agar, and trypticase soy agar). After incubation, we obtained 62 halophilic isolates from the salt samples. Coliform and general bacteria were not detected in all salt samples. By 16S rRNA sequencing analysis, we found 12 kinds of halophilic bacteria belonging to the genera Halobacillus, Halomonas, Bacillus, Idiomarina, Marinobacter, Pseudoalteromonas, Vibrio, Salinivibrio, Virgibacillus, Alteromonas, Staphylococcus and some un-known stains. In our study, we discovered two novel species that have a 16S rDNA sequence similarity below 97%.

• Journal of Dental Rehabilitation and Applied Science
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• v.36 no.3
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• pp.158-167
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• 2020

Purpose: The purpose of this study was to study the effects of the utilization of ethanol solution in infection control of dental implant hand drivers, a common practice in dental prosthodontic clinics. Materials and Methods: Infection control methods were divided into two groups. One swabbed with 83% ethanol gauze and the other immersed in 83% ethanol solution for 30, 60, 90, 120, 150, 180 and 300 second intervals after inoculation of the dental implant hand drivers with Staphylococcus aureus. After measuring the number of colony forming units and analyzing the optical density, the effects of infection control in the experimental group were compared with the positive control group without infection control after inoculation with bacteria and the negative control group without inoculation with bacteria after sterilization. Results: The number of colony forming units and optical density analysis showed a statistically significant difference compared to the positive control. On the other hand, there was no statistically significant difference between the negative control and the group immersed in the 83% ethanol solution for more than 150 seconds. Conclusion: It is recommended to use the ethanol solution as a pre-cleaning process before sterilization, since the intermediate-level disinfection method using ethanol solution alone for the infection control of the dental implant hand driver cannot clinically secure the sterility.

• Convergence Security Journal
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• v.16 no.1
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• pp.49-58
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• 2016

This study is to suggest that the Effects of job satisfaction and Organizational Commitment on the Level of Organizational Learning for the Private Security Guards. in Seoul and in the sales launch of the eight companies selected by the wireless, Companies under the cooperation of managers throughout the visit and the subjects of this study was good enough for the purpose described by the following stratified cluster random sampling 2009 September to 10 October to call a total of 320 questionnaires distributed 51 copies unfaithful 259 copies were used except for analysis. I used SPSSWIN 21.0 and AMOS 21.0 to reliability analysis, factor analysis, correlation analysis, independent-sample t-test, analysis of variance, stepwise multiple regression analysis and path analysis. The level of statistical significance was set to .05. The following are conclusions. the business aspect and human aspect in the Level of Organizational Learning has an effect on the Organizational Commitment. and the Organizational Commitment has an effect on the Job Satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2251-2258
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• 2012

This study compared the unweighted sample design, frequency weighted sample design and complex sample design to using 2009 Korea National Health and Nutrition Examination Survey in an effort to identify whether or not there is any difference in potential risk factors. Pearson chi-square test and Rao-scott chi-square test were applied to the analytic methods. As a result of analyses, all the variables were overestimated as significant risk factors in case of the unweighted sample design to which only the frequency weights were applied. In addition, there were differences in the confidence levels and results from the simple random sampling analysis and complex sample design to which no weight was applied. It is necessary to carry out the complex sample design rather than the analysis to which the frequency weights are applied, in order to ensure the findings to represent the whole population when our national statistics data is used.