• Journal of dental hygiene science
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• v.9 no.1
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• pp.53-59
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• 2009

Infection control is now recognized as an important quality indicator in dental health service setting. The purpose of this study was to develop and validate Dental Hygienist's Infection Control Practice Scale for quality management of dental health service in Korea. The data of 254 dental hygienists was subjected to exploratory factor analysis using SPSS 16.0 and confirmatory factor analysis using AMOS 16.0. The total items of preliminary scale were 21 items and 5 subscale. Principal component analysis was completed with Varimax rotation. The results show a change in factor structure from 5 factor solution to 4 factor solution. The confirmatory factor analysis confirmed the four subscales(Immunization and periodic tests, Clinical procedure, Handwashing, Personal protection) which have a total of 12 items. After the item deleted because factor loading was low, measured model was tested. The results of the measurement model indicated fit indices: $x^2$= 79.593(df = 38, 0 = 0.000), RMR = 0.045, GFI = 0.940, CFI = 0.904, AGFI = 0.896, NFI = 0.837, TLI = 0.861, RMSEA = 0.67. The squared correlation between four constructs were less than the average variance extracted(AVE) of four constructs. Multiple regression analysis was completed. Dependent variable was the perceived infection control practice by dental hygienist. Independent variables were four summated subscales(R = 0.552, $R^2$= 0.304, Adjusted $R^2$= 0.431, F = 25.813, p = 0.000). Unstandardized coefficients of three independent variables were statistically significant.

• Journal of Korean Society of Forest Science
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• v.107 no.2
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• pp.151-157
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• 2018

This study was to analyze the genetic diversity of Quercus gilva Blume growing in Jeju Island for developing a preservation strategy. We examined the genetic diversity and structure using 6 ISSR primers and investigated 67 polymorphic ISSR amplicons in 80 trees distributed among five populations. The average of proportion of polymorphic loci were 93%, the average level of Shannon's information index was 0.237, and Nei's genetic diversity was 0.156. According to the analysis of the molecular variance (AMOVA), $F_{st}$ was 0.169 indicating there was a genetic variation among five populations. 17% of the total variation was allocated among the five populations, while the other 83% of the total variation was in individual trees in each population. The result could be due to the uneven number of trees among the five populations. Based on these results, the preservation strategy could be developed, for examples, considering for designation as "forest genetic resources conservation area" about the habitat, monitoring continuously, fostering the growth of seedling, ex situ preservation of genetic resources, and comparing the differences of environmental and genetic characteristic with population in ex situ.

• Korean Journal of Adult Nursing
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• v.13 no.1
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• pp.15-28
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• 2001

The purpose of this study was to identify the trends of resourcefulness researche studies for suggesting the future direction of study. Study design, types of subjects, measurement tools, study concept, and outcome were examined by reviewing 61 research studies published from 1980 to 1999. The results were as follows: 1. There were 24 works in the 1980s and 37 works in 1990, according to the published year of resourcefulness study. Nonexperimental studies like descriptive study, correlational study and comparative study were more frequent than experimental studies. 2. Research studies that consisted of 30- 100 subjects were the most numerous with 27 studies in all. The majority of study subjects was shown as healthy students and depressive patients. 3. Most studies used Rosenbaum's Self Control Schedule(SCS) for assessing resourcefulness. Reliabilities of resourcefulness researches were cronbach ${\alpha}=.70$ or more. According to statisitical tests done for internal validity, SCS was negatively correlated to maladaptation. Factor analysis revealed that the most parsimonious structure was 3 to 6 factors. The total communality variance in the SCS was about 40 %. Other tools used with the SCS were about coping, depression, satisfaction of life and symptoms, self management and health promotion. 4. In correlational studies, concepts like depression, anxiety, and psychological symptoms were related to resourcefulness negatively. Adaptive functioning, life satisfaction and self achievement had positive correlations to resourcefulness. 5. Studies on comparison between a healthy person and depressive patient or smoker and non-smoker were done. There were coping, depression, symptom, self efficacy, health problem and self-control as comparative concepts. 6. Study subjects consisted of depressive patients in 9 of 18 experimental studies. The majority of studies were done with cognitive-behavioral therapy as an experimental intervention. The most effective treatment was revealed in high resourcefulness group. Since the above findings, resourcefulness research increased since 1980 and mostly non-experimental design for quantitative study were done. In the field of nursing, research about resourcefulness was in an initial stage. It is expected that further research needed to be done. Recommendations on the basis of the present research suggest that it is necessary to replicate studies, develop nursing intervention enhancing resourcefulness and apply it to patients with chronic diseases including cancer.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7061-7070
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• 2015

Multi-Response Surface Optimization aims at finding the optimal setting of input variables considering multiple responses simultaneously. The Weighted Mean Squared Error (WMSE) minimization approach, which imposes a different weight on the two components of mean squared error, squared bias and variance, first obtains WMSE for each response and then minimizes all the WMSEs at once. Most of the methods proposed for the WMSE minimization approach to date are classified into the prior preference articulation approach, which requires that a decision maker (DM) provides his/her preference information a priori. However, it is quite difficult for the DM to provide such information in advance, because he/she cannot experience the relationships or conflicts among the responses. To overcome this limitation, this paper proposes a posterior preference articulation method to the WMSE minimization approach. The proposed method first generates all (or most) of the nondominated solutions without the DM's preference information. Then, the DM selects the best one from the set of nondominated solutions a posteriori. Its advantage is that it provides an opportunity for the DM to understand the tradeoffs in the entire set of nondominated solutions and effectively obtains the most preferred solution suitable for his/her preference structure.

• International Journal of Highway Engineering
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• v.11 no.3
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• pp.61-74
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• 2009

Traffic accident risk index Computation model's development apply traffic level of significance about area of road user group, road and street network area, population group etc.. through numerical formula or model by countermeasure to reduce the occurrence rate of traffic accidents. Is real condition that is taking advantage of risk by tangent section through estimation model and by method to choose improvement way to intersection from outside the country, and is utilizing being applied in part business in domestic. However, question is brought in the accuracy being utilizing changing some to take external model in domestic real condition than individual development of model. Therefore, selection intersection estimation element through traffic accidents occurrence present condition, geometry structure, control way, traffic volume, turning traffic volume etc. in 96 intersections in this research, and select final variable through correlation analysis of abstracted estimation elements. Developed intersection design model taking advantage of signal type, numeric of lane, intersection type, analysis of variance techniques through ANOVA analysis of three variables of intersection form with selected variable lastly, in signal crossing through three class intersection, distinction variable choice risk in model, no-signal crossing risk distinction analysis model and so on develop.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.1
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• pp.1-10
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• 2018

It is difficult to predict the early-age cracks of strain restrained concrete members due to environmentally sensitive parameters. A new method is proposed to predict the cracks by test of autogenous deformation and self-induced restrained stress of specimens which simulates early-age crack state by hydration heat of the'Wall-On-Foundation'members. For this purpose, thermal analysis of entire structure considering the environmental condition is performed at first, and the specimens are set up where hydration heat was electronically controlled according to the analysis results. By measuring free deformation and force to compensate the autogenous strain including relaxation, feasibility of cracks can be estimated. The proposed method can predict the occurrence of cracks better than the material test of the early age concrete which has large variance. The method of this study is particularly useful when it is used as a preliminary experiments to predict the crack more precisely before full-scale concrete placement in construction of large structures.

• Journal of the Korean association of regional geographers
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• v.2 no.2
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• pp.159-171
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• 1996

The aim of this study is which factors affect the commercial land values and how they act upon them through distribution of commercial land values by multiple regression analysis in Gwangju city. The major findings of this study are as follows: (1) The changes of commercial land values distribution in $1989{\sim}1996$, We see that the commercial area of higher land values extends following the main arterial road. This is related to urbanization in urban fringe while the decline of commercial land values occurs in city center with long history of commercial region. This is due to unsuitableness in rapid changes of commercial environment because of fragmented lots, old buildings. traffic congestion etc. (2) The regions where commercial land values greatly rose are the west in constructed the new planning city center of Sangmu-dong. and the south west in which is related to the extension of high density apartment and the location of big discount stores. (3) Through the changes in commercial land values distribution map. and road map, topographical map, we know that commercial land values is related to various factors; namely, distance from CBD, convenient traffic, reputation of commercial district, condition of a road, size of supplementary, a degree of commercial land use etc. (4) From the above related factor, six variables are extracted by operational definition. That is the spatial distance from the city center, the walking distance to a stopping place, the road width, the amount of bus traffic, the amount of pedestrian, the number of the shop. (5) Data of seven variables are collected on the highest values point of each Dong. We applicate multiple regression analysis with commercial land values as a dependent variable, extracted six variables as independent variables. (6) As a result of multiple regression on the determinants of commercial land values, the variables which is greatly related to commercial land values are the amount of pedestrain, the spatial distance from city center. We identify that two variables explain variance of the commercial land values by 65%. (7) In order to make clear about not explained 35%. we carry out analysis of residual. In consequence, we see small estimate in downtown area and large estimate in urban fringe. This feature is due to simple core structure of Gwangju city and limits of this regression model.

• Economic and Environmental Geology
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• v.53 no.4
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• pp.479-489
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• 2020

A fault is a geological structure that can be a migration path or a cap rock of hydrocarbon such as oil and gas, formed from source rock. The fault is one of the main targets of seismic exploration to find reservoirs in which hydrocarbon have accumulated. However, conventional fault detection methods using lateral discontinuity in seismic data such as semblance, coherence, variance, gradient magnitude and fault likelihood, have problem that professional interpreters have to invest lots of time and computational costs. Therefore, many researchers are conducting various studies to save computational costs and time for fault interpretation, and machine learning technologies attracted attention recently. Among various machine learning technologies, many researchers are conducting fault interpretation studies using the support vector machine, multi-layer perceptron, deep neural networks and convolutional neural networks algorithms. Especially, researchers use not only their own convolution networks but also proven networks in image processing to predict fault locations and fault information such as strike and dip. In this paper, by investigating and analyzing these studies, we found that the convolutional neural networks based on the U-Net from image processing is the most effective one for fault detection and interpretation. Further studies can expect better results from fault detection and interpretation using the convolutional neural networks along with transfer learning and data augmentation.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.6
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• pp.744-750
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• 2015

In this paper, development of mobile robot for the inspection of hull surface was mentioned. In the sea, it is difficult to proceed with the visual inspection of hull side and thus mobile robot for checking the status could be run with strap-on its surface. To do this, permanent magnet module to generate magnetic force between hull surface and mobile robot, and structure to minimize variance of the force under curvature circumstance were considered on the design. Based on the design, mobile robot with four NdFeB, four driving wheels and image aquisition module was applied. Load experiment to check the adhesive force, slip test during stop state and driving test to measure driving speed were executed. From the experiments 13 Kgf adhesive force was obtained and slip was not happened until 8 Kgf load on the inclined plate. Driving speed of mobile robot was measured at 0.82 m/s corresponding to 6.5 ampere. We confirmed the effectiveness of developed mobile robot by experiments to check its characteristics.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.363-370
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• 2016

This study aimed to evaluate correlation between self-evaluation factors and academic achievement of medical students according to introduction of explanation meeting in cadaveric dissection. The students explained cadaveric structure to health allied sciences students and discussed with each other. Just after the meeting, 102 medical students filled out a self-reported questionnaire on impact of self-evaluation factors and communication. The data were analyzed by frequency analysis, t-test and analysis of variance. Regardless of their gender, age, previous experience, the majority of the students gave high scores in all of self-evaluation factors. Among them, linkage with major and verbal communication factor were closely related to their academic achievement(p<0.05). The verbal and non-verbal communication factors also had a high correlation of 0.580(p<0.01). The explanation meeting provided a chance to learn further with positive attitude to medical students and motivated them academically.