• Journal of the korean academy of Pediatric Dentistry
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• v.5 no.1
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• pp.19-26
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• 1978

The author studied occlusion in the primary dentition of 3~5 year old children and the materials for the present study comprised plaster model of 266 children in Seoul. The results were as followings; 1) In sagittal canine relationship, 63.9%(170 children) showed class 1 pattern, 2.3%(6 children) showed class 2 pattern, 21%(56 children) showed class 3 pattern and 12.8%(34 children) showed a different canine relationship in each side. 2) In sagittal molar relationship, 44.3% 118 children) showed class 1 pattern, 6.1%(16 children) showed class 2 pattern, 32.3%(86 children) showed class 3 pattern and 17.3%(46 children) showed a different molar relationship in each side. 3) In overjet, 87.8%(234 children) showed under 2mm. 4) 5.3%(14 children) showed crossbite and 4.6%(12 children) showed scissors-bite. 5) 21.8%(58 children) showed midline deviation. 6) Primate space was coincided with more common position of interdental space.

• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.125-132
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• 2017

This paper is a study on the application of flipped learning, which is known as a teaching method that provides effective learning, to signal processing subjects. The teaching - learning model used for the class and the implementation examples for three years are described. In-class can be judged to be a relatively successful class, but organization of the video data provided in the pre-class and evaluation of whether or not to study pre-class video have to be improved.

• The Journal of Industrial Distribution & Business
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• v.14 no.10
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• pp.35-43
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• 2023

Purpose: The purpose of this study is to analyze the structural relationship between the possibility of socioeconomic class elevation of wage earners, happiness and organizational commitment, and life satisfaction. Research design, data and methodology: Data from the 24th fiscal year (2021) of the Korea Labor Panel data were used for analysis. Only wage earners who measured job satisfaction and organizational engagement were analyzed, and a sample of 9,138 respondents was finally used, excluding missing values. Structural Equation Modeling was performed using AMOS 23.0, and Maximum Likelihood Estimation (MLE) was used as a model estimation method. Results: First, the hypothetical structural model set up for the study was found to be suitable. Second, the Possibility of Socioeconomic Class Elevation of wage earners, happiness, and organizational commitment were found to have a direct impact on life satisfaction. Third, the possibility of improving the socio-economic status of wage earners affects life satisfaction, and happiness and organizational commitment appear to have a partially mediating effect. Conclusions: This study is significant in that it has increased interest in organizational participation and life satisfaction, which were not covered in previous studies on the possibility of wage workers moving up the socioeconomic class.

• Molecules and Cells
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• v.39 no.12
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• pp.855-861
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• 2016

Ginsenosides, which are the active materials of ginseng, have biological functions that include anti-osteoporotic effects. Aqueous ginseng extract inhibits osteoclast differentiation induced by receptor activator of NF-${\kappa}B$ ligand (RANKL). Aqueous ginseng extract produces chromatography peaks characteristic of ginsenosides. Among these peaks, ginsenoside Re is a major component. However, the preventive effects of ginsenoside Re against osteoclast differentiation are not known. We studied the effect of ginsenoside Re on osteoclast differentiation, RANKL-induced tartrate-resistant acid phosphatase (TRAP) activity, and formation of multinucleated osteoclasts in vitro. Ginsenoside Re hampered osteoclast differentiation in a dose-dependent manner. In an in vivo zebrafish model, aqueous ginseng extract and ginsenoside Re had anti-osteoclastogenesis effects. These findings suggest that both aqueous ginseng extract and ginsenoside Re prevent bone resorption by inhibiting osteoclast differentiation. Ginsenoside Re could be important for promoting bone health.

• Earthquakes and Structures
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• v.13 no.1
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• pp.67-77
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• 2017

Oil storage tanks are vital life-line structures, suffered significant damages during past earthquakes. In this study, a numerical model for an unanchored vertical vaulted-type tank was established by ANSYS software, including the tank-liquid coupling, nonlinear uplift and slip effect between the tank bottom and foundation. Four actual earthquakes recorded at different soil sites were selected as input to study the dynamic characteristics of the tank by nonlinear time-history dynamic analysis, including the elephant-foot buckling, the liquid sloshing, the uplift and slip at the bottom. The results demonstrate that, obvious elephant-foot deformation and buckling failure occurred near the bottom of the tank wall under the seismic input of Class-I and Class-IV sites. The local buckling failure appeared at the location close to the elephant-foot because the axial compressive stress exceeded the allowable critical stress. Under the seismic input of Class-IV site, significant nonlinear uplift and slip occurred at the tank bottom. Large amplitude vertical sloshing with a long period occurred on the free surface of the liquid under the seismic wave record at Class-III site. The seismic properties of the storage tank were affected by site class and should be considered in the seismic design of large tanks. Effective measures should be taken to reduce the seismic response of storage tanks, and ensure the safety of tanks.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.13-15
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• 2006

When we use multilayer perceptron model for pattern classification probmems, we allocate one output node for each class. In this paper, we increase the number of output nodes for each class and investigate the performance of multilayer perceptrons through the simulation of isolated-word recognition problems.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.129-133
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• 2023

Classification or prediction problem is how to solve it using a specific feature to obtain the predicted class. A wheat seeds specifications 4 3 classes of seeds will be used in a prediction process. A multi linear regression will be built, and a prediction error ratio will be calculated. To enhance the prediction ratio an ANN model will be built and trained. The obtained results will be examined to show how to make a prediction tool capable to compute a predicted class number very close to the target class number.

• Journal of Korean Society of Transportation
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• v.21 no.6
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• pp.77-88
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• 2003

This paper proposes a solution algorithm for solving a multi-class analytical DTA model. In the DTA model, three traveler classes are classified according to different assumptions of traveler's route choice behavior: including fixed route, Stochastic Dynamic User Optimum(SDUO), and Dynamic User Optimum(DUO). To solve this DTA model, variables of link flow and exit flow are represented solely by inflow. The resulting Linear Program(LP) subproblem in the inner iteration is solved as a typical time-dependent shortest route problem over a physical network. Accordingly, the required time-space network expansion in solving DTA models is no longer needed.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.2
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• pp.101-112
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• 2003

This paper designs and implements the management system that can calibrate the contamination vulnerability of the ground water, using an object oriented data model. Geographic-objects are specified by features extracted from an applicable geographic domain, and geographic-fields are defined by chemical factors extracted from each driven water. To show the topological relationships among the geographic-objects and the geographic-fields, this paper attach the weight and the ratio of the drastic model to chemical factors represented on the land use digital map and the ground water digital map. The geographic feature class, administrative boundary class, land use class and driven water class consist of a class composition hierarchy for evaluating the convenient contamination vulnerability calibration with spatial relationships among the well objects. Therefore, this management system for evaluating the contamination vulnerability can also contribute to the application of other natural environments.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.213-221
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• 2020

The purpose of this study was to apply Keller's ARCS motivational model to the business major English class and to investigate the effects of ARCS model on learning motivation and academic achievement. The subject for this study was 27 junior students majoring in business administration who took the business major English class. As a means of measurement, questionnaires and the results of written tests were used. The analysis on the results of the two groups, the experimental group applying ARCS model and the comparison group using the traditional lecture method, showed that the teaching-learning method applying ARCS model for the business major English class was effective in improving all elements of learning motivation such as attention, relevance, confidence and satisfaction, and in improving academic achievement in business English and business-related content.