• The Journal of Industrial Distribution & Business
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• v.11 no.5
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• pp.35-44
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• 2020

Purpose: The purpose of this study is to present a plan to expand the employment of the elderly in Small business as one of the ways to solve the problem of the supply and demand of the company due to the aging population and the problem of the elderly poverty. Research design, data and methodology: The method of this study is a qualitative research method, and the researcher visited a small and medium-sized company directly and collected data by conducting an in-depth interview with a business owner. The interview period was conducted on a total of 15 business owners from November 5, 2013 to November 18, 2013. Results: First, the reason why companies hire the elderly is because they are suitable people, and the reason why they are not employed is because the elderly are not suitable. Second, it was found that the most recruiting paths continued to work after retirement. Third, the strengths of the elderly in their businesses were diligence, integrity, leadership, wisdom, warmth, and skill. Disadvantages the elderly in their businesses include wanting to be treated as an adult, poor productivity, poor accuracy, and health risks. Fourth, in case of hiring the elderly, they were considering convergence with young employees, and it was suggested that there are no difficulties in being an elderly because the companies hiring the elderly use the elderly according to the characteristics of the elderly. Fifth, It is realistic to actively utilize the employment system after retirement. Sixth, it was found that, unlike young people, it is not easy to recruit people on the Internet, so it is necessary to improve the system. Lastly, some industries clearly distinguished between the jobs of the elderly and the jobs of the young, but in many industries, it was desirable to create jobs for the elderly by harmonizing the main and secondary jobs. Conclusion: Ultimately, the work of the elderly in small and medium-sized enterprises should be reborn as a high-quality job that can solve the poverty of the elderly by working as a regular worker in the enterprise, rather than simply working for the elderly.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1199-1207
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• 2018

This study was done to identify the effects of self-monitoring method using smartphone video on self-directed learning ability, competency in nursing skills self-confidence and practice satisfaction of nursing students. It was designed a quasi-experimental study with a pre-post test. The participants were 54 students in the experimental group and 51 students in the control group. There was no significant difference in self-directed learning ability (p = .450) between the groups, but there was a significant difference between the pre-post scores of the experimental group. There was no significants difference of competency in nursing skills, self-confidence and practice satisfaction between the two groups. In conclusion, the self-assessment learning method using smartphone video during the self-practice is considered to be an effective method to improve the self-directed learning ability and to ensure the accuracy and skill of the technique.

• The Journal of Korean Society for School & Community Health Education
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• v.11 no.2
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• pp.129-140
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• 2010

Objectives: The purpose of this study is to be conducive to selecting effective educational method for AED(Automated External Defibrillator) education through comparing educational effects between VSI(Video Self-Instruction) and lecturer-centered learning on AED(Automated External Defibrillator) in undergraduates. Method: This study targeted totally 76 undergraduates (39 people for experimental group, 37 people for control group) at J university where is located in J province, from June 8, 2009 to June 12. The analytical method was performed by using SPSS WIN 12.0 Version program. Results: In difference before and after education of the skill performance accuracy in AED between groups, the experimental group(2.89) was higher compared to the control group(2.75). In difference before and after education of knowledge in AED between groups, the experimental group(2.03) was higher compared to the control group(1.82). In difference before and after education of attitude toward AED between groups, the control group(2.14) was higher compared to the experimental group(1.85). In difference before and after education of self-confidence in AED between groups, the experimental group(1.88) was higher compared to the control group(1.76).

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.3
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• pp.323-333
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• 2014

In this paper, the wakes behind a square cylinder were simulated using two kinds of different turbulence models for the eddy viscosity concept such as the zero- and the one-equation model in which the former is the mixing length model and the latter is the k-equation model. For comparison between numerical and analytical solutions, we employed three skill assessments: the correlation coefficient(r) for the similarity of the wake shape, the error of maximum velocity difference(EMVD) for the accuracy of wake velocity and the ratio of drag coefficient(RDC) for the pressure distribution around the structure. On the basis of the numerical results, the feasibility of each model for wake simulation was discussed and a suitable value for the empirical constant was suggested in these turbulence models. The zero-equation model, known as the simplest turbulence model, overestimated the EMVD and its absolute mean error(AME) for r, EMVD and RDC was ranging from 20.3 % to 56.3 % for all test. But the AME by the one-equation model was ranging from 3.4 % to 19.9 %. The predicted values of the one-equation model substantially agreed with the analytical solutions at the empirical mixing length scale $L=0.6b_{1/2}$ with the AME of 3.4 %. Therefore it was concluded that the one-equation model was suitable for the wake simulation behind a square cylinder when the empirical constant for eddy viscosity would be properly chosen.

• The Journal of Society for e-Business Studies
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• v.22 no.2
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• pp.1-18
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• 2017

Recently, identification of the extremely stressed condition of children is an essential skill for real-time recognition of a dangerous situation because incidents of children have been dramatically increased. In this paper, therefore, we present a model based on machine learning techniques for stress status identification of a child by using bio-signals such as voice and heart rate that are major factors for presenting a child's emotion. In addition, a smart band for collecting such bio-signals and a mobile application for monitoring child's stress status are also suggested. Specifically, the proposed method utilizes stress patterns of children that are obtained in advance for the purpose of training stress status identification model. Then, the model is used to predict the current stress status for a child and is designed based on conventional machine learning algorithms. The experiment results conducted by using a real-world dataset showed that the possibility of automated detection of a child's stress status with a satisfactory level of accuracy. Furthermore, the research results are expected to be used for preventing child's dangerous situations.

• Composites Research
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• v.28 no.6
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• pp.348-355
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• 2015

NDT (Non Destructive Test) of the adhesive joints is very important because their strengths have greatly affected by the worker's skill and environmental condition. Recently, the electric impedance method in which 1-2 wt% CNT was dispersed in the adhesive and the electric resistance of the adhesive joint was measured was suggested for the defect detection of the adhesive joint. The uniform dispersion of CNT in the electric impedance method is very important to make a constant electric resistance of the adhesive joint and the accuracy of defect detection depends on the uniform dispersion. In this paper, the adhesive joints in which CNT was dispersed in the adhesive by the four dispersion methods were made and their electric resistance were measured. The pre-process and evaporation process of CNT using the ultrasonic method and agitation method was used and the effective dispersion method was suggested. Also, the criteria to evaluate the dispersivity was proposed.

• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.505-514
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• 2012

This study is for effectiveness of golf skills to average score using path analysis in Professional golf association. The variables in this study were that seven independent variable were driving accuracy, green in regulation, driving distance, sand save ratio, scrambling, putting average, and two endogenous variables were birdie average, bogey average, and dependent variable was the scoring average. To analyze these variables, path analysis was used through AMOS 18.0 program and Alpha level sets at.05. As the result, the final model had significant goodness-of-fit (GFI=.989, RMSEA=.044, TLI=.991, CFI=.998) and showed that green in regulation, driving distance, sand save ratio, scrambling, and putting average significantly affected average score directly. Especially, the scrambling was the highest affectation to average score and the sand save ratio was the lowest affectation to the average score.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.147-147
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• 2019

The Numerical Weather Prediction (NWP) models determine the future state of the weather by forcing current weather conditions into the atmospheric models. The NWP models approximate mathematically the physical dynamics by nonlinear differential equations; however these approximations include uncertainties. The errors of the NWP estimations can be related to the initial and boundary conditions and model parameterization. Development in the meteorological forecast models did not solve the issues related to the inevitable biases. In spite of the efforts to incorporate all sources of uncertainty into the forecast, and regardless of the methodologies applied to generate the forecast ensembles, they are still subject to errors and systematic biases. The statistical post-processing increases the accuracy of the forecast data by decreasing the errors. Error prediction of the NWP models which is updating the NWP model outputs or model output statistics is one of the ways to improve the model forecast. The regression methods (including linear, polynomial and scaling regression) are applied to the present study to improve the real time forecast skill. Such post-processing consists of two main steps. Firstly, regression is built between forecast and measurement, available during a certain training period, and secondly, the regression is applied to new forecasts. In this study, the WRF real-time forecast data, in comparison with the observed data, had systematic biases; the errors related to the NWP model forecasts were reflected in the underestimation of the meteorological data forecast by the WRF model. The promising results will indicate that the post-processing techniques applied in this study improved the meteorological forecast data provided by WRF model. A comparison between various bias correction methods will show the strength and weakness of the each methods.

• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.348-352
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• 2018

BioRescue ($RMIng{\acute{e}}nierie$, Marseille, France) is able to assess dynamic and static balance when a test subject stands or sits over the platform. Although previous studies have examined the reliability of other balance measurement methods, little research has been conducted on the reliability of equipment such as BioRescue. This study examined the intra-rater and inter-rater reliability of BioRescue during balance assessment. Thirty-four healthy adults participated as subjects and two physical therapists participated as examiners to determine intra- and inter-rater reliability. BioRescue was used to conduct measurements during footprint (area and pressure), Romberg, and limit of stability tests. The footprint area and limit of stability tests yielded intra- and inter-rater reliability ICC values above 0.60 in all directions. However, the footprint pressure and Romberg tests yielded values below 0.60 in all directions. BioRescue showed good inter-rater and intra-rater reliability in measurements during footprint area and limit of stability tests. However, because the values of limits of stability show the difference between experienced and unskilled, skill is required for the accuracy of the equipment.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.17 no.6
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• pp.170-176
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• 2018

Recently, weapon system requires personal protection products due to the explosion of rapid-fire explosion, which is considered to be multi threat in modernization, complication and war against terrorism. However, the conventional Korean military bullet protection helmets are not suitable for wearing convenience and combatant interoperability in terms of ergonomic. In this paper, we propose a suitable 3D Scanning method for the head, and compare the measured 3D dimension with the existing 2D measurement value to identity the reliability. Reverse engineered soldier head using the quick surface method was realized with a perfect free-form surface and satisfactory tolerance range (${\pm}0.2mm$). Through the comparison of 3D and 2D measured head dimensions, the absolute error value was 0.73 mm on average and relative error was 0.35 %, confirming the high accuracy of the 3D scan modeling. Also, quick surface method using 3D scanner is suggested a fast and accurate skill for ergonomics in obtaining the head modeling needed for military's personal bullet protection helmet design.