• Hwankyungkyoyuk
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• v.19 no.3
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• pp.57-66
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• 2006

This study is purposed to compose systematic and efficient curricula of the courses centered on the duties of forest interpreter. In the first step, the purpose of task analysis is to identify the forest interpreter's duties and tasks. 13 professional were designated as panel, and the task chart was completed via DACUM analysis. The tasks performed by forest interpreter are categorized in the development of specialty, program planning, comprehension on the engaged forest, program development, program execution and program evaluation, which are classified into 59 sub-tasks. In the second step, need analysis is focused on the evaluation of the degree of job importance, the necessity of education based on the results from the task analysis. In consequence, 23 key tasks are determined. In the third step, knowledge, skill, tool, and attitude required for key tasks were analyzed and reorganized into 23 subjects. This study has significance in 3 respects. Firstly, the tasks of forest interpreter are analyzed to define their roles. Secondly, the curricula composed according to the results of task analysis and need analysis allow the realizable and prerequisite subjects within the restricted resources. Finally, this study suggests the curriculum, which shall be the bases for the program planning and operation of a lot of educational organization and institutions.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.150-150
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• 2018

The Numerical Weather Prediction (NWP) models provide information for weather forecasts. The highly nonlinear and complex interactions in the atmosphere are simplified in meteorological models through approximations and parameterization. Therefore, the simplifications may lead to biases and errors in model results. Although the models have improved over time, the biased outputs of these models are still a matter of concern in meteorological and hydrological studies. Thus, bias removal is an essential step prior to using outputs of atmospheric models. The main idea of statistical bias correction methods is to develop a statistical relationship between modeled and observed variables over the same historical period. The Model Output Statistics (MOS) would be desirable to better match the real time forecast data with observation records. Statistical post-processing methods relate model outputs to the observed values at the sites of interest. In this study three methods are used to remove the possible biases of the real-time outputs of the Weather Research and Forecast (WRF) model in Imjin basin (North and South Korea). The post-processing techniques include the Linear Regression (LR), Linear Scaling (LS) and Power Scaling (PS) methods. The MOS techniques used in this study include three main steps: preprocessing of the historical data in training set, development of the equations, and application of the equations for the validation set. The expected results show the accuracy improvement of the real-time forecast data before and after bias correction. The comparison of the different methods will clarify the best method for the purpose of the forecast skill enhancement in a real-time case study.

• Journal of Korean Society for Quality Management
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• v.49 no.3
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• pp.405-420
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• 2021

Purpose: This study started with the question of how to use Virtual Reality (VR) contents as a part of the non-face-to-face education tool that has recently attracted attention. Methods: In this paper, the use of VR contents as an educational tool is explained as a process of 'new media access dimension'. The question was explored on why Virtual Reality (or Augmented Reality) contents are not used as educational tools in the educational field. Results: As a result, the lack of 'material access' such as devices and infrastructure affects 'motivational access' approach stage, which is the previous stage. Again, it has a negative effect on literacy, which is 'skill access' approach stage. As it was found that it was not circulating to the level of "motive-material-skill-usage", it was discussed that it was taking a different step from the past adoption process of ICT and smart media. Conclusion: Based on this, it is believed that immersive content will contribute to arousing interest that can be applied and spread in the educational field, and it is also thought that it will be possible to derive academic interest in the educational effect according to the characteristics of immersive content such as VR.

• The Journal of Economics, Marketing and Management
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• v.6 no.2
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• pp.21-29
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• 2018

Purpose - This study aimed to check the influence of job characteristics of members of small and medium businesses on authentic leadership awareness of superiors and organizational citizenship behavior, and if the MPS between awareness of authentic leadership and organizational citizenship behavior mediated. This study aimed to find the influence of job characteristics of SMEs members on leadership awareness and organizational citizenship behavior, and the role of motivating Potential Score. Research Design, Data, and Methodology - Total of 150 valid questionnaires were collected. Frequency analysis, descriptive statistical analysis, correlation analysis, simple & multiple regression analysis, and 3-step mediated regression analysis were conducted. Results - The sub-factors of job characteristics all had positive influence on authentic leadership except skill variety and positive awareness on authentic leadership enhances organizational citizenship behavior of members. Also, MPS partially mediates awareness of authentic leadership and organizational citizenship behavior. Conclusion - Providing skill variety such as expanding jobs to members of SMEs does not have influence of positive leadership awareness of leaders and partial mediation of MPS means that job characteristics along with positive leadership awareness on superiors enhance organizational citizenship behavior and contributes in developing the organization.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.399-408
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• 2016

This research was conducted to analyze the relationship among school bullying types, collaboration empathy skills, and adaptation of school life. A survey was conducted for the research, and asked 213 adolescents in middle and high schools in capital area(middle school: 106, high school: 107). Data Analysis was used a two-step cluster analysis to classify the type of bullying, explanation of a prediction variable according to the groups were analyzed by a multiple logistic regression analysis. The results of analysis of the research are as in the following. First, experience of afflicting or suffering from school bullying had negative correlation with collaboration empathy skills, and also with school life adaptation. Secondly, assailant group and victim group of school bullying was related to the lack of collaboration skill, and also related with empathy skill. Thirdly, collaboration empathy skills was influential factor on the adaptation of school life. Based on the results, collaboration empathy skills reduce the experience of bullying, and have a positive impact on the adaptation of school life. It confirmed the need for a social skills training program and discussed the implications.

• Korean Journal of Applied Biomechanics
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• v.24 no.4
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• pp.349-357
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• 2014

The purpose of this study was to examine the differences in the performance of dancing motions depending on the level of skill by investigating pulmonary functions, ground reaction force, and jerk cost. The subjects of this study were 12 professional dancers (career: 16 yrs) and 12 amateur dancers (career: 9 yrs) who had similar physical conditions. We selected four motion phases which included the diagonal line motion, the deep flexion motion, the breath motion, and the turn motion with one leg after a small step walking motion, with Goodguri Jangdan. In the experiment, 6 infrared cameras were installed in order to analyze the value of the jerk costs and the force plate form. Finally, we measured the pulmonary functions of the subjects. For data analysis, independent t-tests according to each event, were carried out in the data processing. According to the results of FVC % Predicted, the professional dancers showed greater lung capacities than the amateur dancers, indicating that the level of dancing skill influences lung capacity. Based on the result of the balance test, the professional dancers used more vertical power than did the amateur dancers when performing maximal flexion motion. The professional dancers used a propulsive force of pushing their body forward by keeping the center of body higher while the amateur dancers used a braking power by keeping their bodies backward. When performing medial-lateral movements, the amateur dancers were less stable than the professional dancers. There were no differences in values of jerk costs between the amateur dancers and the professional dancers.

• Journal of Korean Academy of Nursing
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• v.25 no.4
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• pp.741-750
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• 1995

The purpose of this study was to develop a role conflict scale for nurses in hospitals. The process of study was as follows. The first step was the study of selected literature on role conflict in general and to translate into Korean language the role conflict and ambiguity scale developed by House. From this process, a scale for role conflict inventory-general was made by consulting with two professors majored in educational evaluation and one professor who is an authory on educational administration. In the second step, 24 clinical nurses were asked to describe the situations having job-related role conflict. In the third step, the role conflict inventory-specific was derived from the role conflict inventory -general, and data selected from the step two. The confidence and clarity of this role conflict inventory-specific was strengthed by consulting one clinical psychologist, two professors of nursing college and ten doctoral students of nursing. With this tool being tested, the results are summarized as follows. 1. Reliability Internal consistency reliability was tested by cronbach alpha, corrected item total correlation and correlation matrix. The cronbach alpha level was .94 and one item among 37 items was below .35 and the rest items were .42 above in the corrected item total correlation. There was no negative correlation in the correlation matrix. 2. Construct validity In the construct validity test, four factors have an eigen value 1.0 over, Factor 1 represented role ambiguity, composed of 15 items with .90 reliability level. Factor 2 represented deficiency of ability and skill, composed of 11 items with .90 of reliability level. Factor 3 represented working environment, composed of 6 items with .85 of reliability level. Final factor represented deficiency of job-related collaboration, composed of 5 items with .69 reliability level. These results contribute to measuring the level of role conflict for nurses, and to the managment of the nurses' role conflict.

• Korean Journal of Heritage: History & Science
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• v.48 no.2
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• pp.142-157
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• 2015

This study examines how traditional knowledge functions in the specific techniques to make pottery in terms of the traditional knowledge on the pottery techniques of Onggi potters. It focuses on how traditional pottery manufacturing skills are categorized and what aspects are observed with regard to the techniques. The pottery manufacturing process is divided into the preparation step of raw material, the molding step of pottery, and the final plasticity step. Each step involves unique traditional knowledge. The preparation step mainly comprises the knowledge on different kinds of mud. The knowledge is about the colors and properties of mud, the information on the regional distribution of quality mud, and the techniques to optimize mud for pottery manufacturing. The molding step mainly involves the structure and shape of spinning wheels, the techniques to accumulate mud, ways to use different kinds of tools, the techniques to dry processed pottery. The plasticity step involves the knowledge on kilns and the scheme to build kilns, the skills to stack pottery inside of the kilns, the knowledge on firewood and efficient ways of wood burning, the discrimination of different kinds of fire and the techniques to stoke the kilns. These different kinds of knowledge may be roughly divided into three categories : the preparation of raw material, molding, and plasticity. They are closely connected with one another, which is because it becomes difficult to manufacture quality pottery even with only one incorrect factor. The contents of knowledge involved in the manufacturing process of pottery focused are mainly about raw material, color, shape, distribution aspect, fusion point, durability, physical property, etc, which are all about science. They are rather obtained through the experimental learning process of apprenticeship, not through the official education. It is not easy to categorize the knowledge involved. Most of the knowledge can be understood in the category of ethnoscience. In terms of the UNESCO world heritage of intangible cultural assets, the knowledge is mainly about 'the knowledge on nature and universe'. Unique knowledge and skills are, however, identified in the molding step. They can be referred to 'body techniques', which unify the physical stance of potters, tools they employ, and the conceived pottery. Potters themselves find it difficult to articulate the knowledge. In case stated, it cannot be easily understood without the experience and knowledge on the field. From the preparation of raw material to the complete products, the techniques and traditional knowledge involved in the process of manufacturing pottery are closely connected, employing numerous categories and levels. Such an aspect can be referred to as a 'techniques chain'. Here the techniques mean not only the scientific techniques but also, in addition to the skills, the knowledge of various techniques and levels including habitual, unconscious behaviors of potters.

• Journal of Korean Elementary Science Education
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• v.33 no.1
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• pp.181-194
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• 2014

The purpose of this study was to analyze the difference between eye movements according to science achievement of elementary school students on measuring tasks. Science achievement was graded by the results of Korea national achievement test conducted in 2012. As an assessment tool to check measuring task, two measuring measure problems from TSPS(Test of Science Process Skill; developed in 1994) which were suitable for eye tracking system were adopted. The subjects of this study were 3 underachievers and 3 overachievers from 6th grade who agreed to participate in the research. SMI was used to collect EMD (eye movement data). Experiment 3.2 and BeGaze 3.2 programs were used to plan experiment and analyze EMD. As a result, eye movements of participants in measuring task did not show the path to the common gaze by groups. To solve the problem of using specific measuring strategies related to the correct answer. Underachiever who failed in measuring tasks don't have enough measurement capabilities and lack eye movement through the area of interest for cognitive thinking. These results show that elementary school science curriculum dealing with measuring have to reflect a lot of step-by-step learning requires.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.95-99
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• 2023

Recently Machine Learning has been considered as one of the active research areas of Computer Science. The various Artificial Intelligence techniques are used to solve the classification problems of environmental sciences, biological sciences, and medical sciences etc. Due to the heterogynous and malfunctioning weather sensors a considerable amount of noisy data with missing is generated, which is alarming situation for weather prediction stockholders. Filling of these missing values with proper method is really one of the significant problems. The data must be cleaned before applying prediction model to collect more precise & accurate results. In order to solve all above stated problems, this research proposes a novel weather forecasting system which consists upon two steps. The first step will prepare data by reducing the noise; whereas a decision model is constructed at second step using regression algorithm. The Confusion Matrix will be used to evaluation the proposed classifier.