• Journal of the Ergonomics Society of Korea
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• v.11 no.1
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• pp.31-38
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• 1992

The population of aged people in industries has been increased remarkably due to the decline of birth rates and the increase of average life span. Also, the current automation trends makes aged people to work easy in industries since automation technologies help them to avoid physically hard tasks. Therefore the evaluation of aged workers' adaptability would be an important research topic. In the study, the mean and standard deviation of the reaction time are calculated to see the differences with four lamps's types and ages. It is found that the mean reaction time and the standard deviation are increased with the the increase of age. The quantitative approach provides an important information to be used not only for the adaptability estimation of aged workers but also for the working capability qualification for re-employment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.150-158
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• 2020

This study was a descriptive survey study that investigated the relationship between male stereotypes, gender stereotypes, major satisfaction, and college life adaptation. This study was conducted on 156 male nursing students enrolled in the Department of Nursing, Nursing College in two metropolitan cities. The data were collected from April 17 to June 22, 2020 by online survey using an online education program operated by the university. The data were analyzed by frequency and percentage, mean and standard deviation, correlation analysis, and ANOVA using SPSS 21.0. As a result of the study, male stereotypes scored 2.66±0.56 points for gender stereotypes, 3.78±0.64 points for major satisfaction, and 3.15±0.49 points for college life adaptation, and gender stereotypes were negative for major satisfaction and college life adaptation. There was a positive correlation between major satisfaction and adaptation to college life. As a result, in order to ensure that male nursing college students are satisfied with their majors and enjoy their college life, their values as professional nursing professionals can be improved through a specialized curriculum that aims to reduce gender stereotypes and improve both major satisfaction and adaptation to college life, with the goal of nurturing self-esteem.proves major satisfaction and adaptation to college life. It is necessary to nurture self-esteem.

• Journal of Korea Entertainment Industry Association
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• v.14 no.3
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• pp.421-429
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• 2020

The purpose of this study aimed to identify the relationship between department adaptation, career satisfaction and major satisfaction of the male students in department of dental hygiene and to provide basic data to improve their major satisfaction. The subjects were 102 male students attended dental hygiene departments at four universities in Seoul, Gangwon-do and Gyeongsang-do. The survey was completed a self administered questionnaire survey available on a website from September to October 2019. The collected data were analyzed frequency, mean and standard deviation, correlation and logistic regression using the SPSS 22.0 program. The questionnaire consisted of a total of 36 questions, with each item scored on a 5-point Likert scale. The mean score of male students of dental hygiene department major satisfaction was 3.32, department adaptation was 3.48 and career satisfaction was 3.08. The results of the correlation analysis shows that major satisfaction has a statistically significant positive correlation between career satisfaction and departmental adaptation(p<0.01), career satisfaction was a statistically significant positive correlation to the departmental adaptation(p<0.01). As a result of regression analysis with Independent variables such as departmental adaptation(β=0.410) and career satisfaction(β=0.457) were analyzed to have a significant positive effect on the major satisfaction(p<0.001). Accordingly, the department adaptation and job career satisfaction are critical factors for major satisfaction.

• Journal of Climate Change Research
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• v.9 no.1
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• pp.103-115
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• 2018

The uncertainty of climate scenarios, as initial information, is one of the significant factors among uncertainties of climate change impacts and vulnerability assessments. In this sense, the quantification of the uncertainty of climate scenarios is essential to understanding these assessments of impacts and vulnerability for adaptation to climate change. Here we quantified the precision of surface temperature of ensemble scenarios (high resolution (1km) RCP4.5 and 8.5) provided by Korea Meteorological Administration, with spatiotemporal variation of the standard deviation of them. From 2021 to 2050, the annual increase rate of RCP8.5 was higher than that of RCP4.5 while the annual variation of RCP8.5 was lower than that of RCP4.5. The standard deviations of ensemble scenarios are higher in summer and winter, particularly in July and January, when the extreme weather events could occur. In general, the uncertainty of ensemble scenarios in summer were lower than those in winter. In spatial distribution, the standard deviation of ensemble scenarios in Seoul Metropolitan Area is relatively higher than other provinces, while that of Yeongnam area is lower than other provinces. In winter, the standard deviations of ensemble scenarios of RCP4.5 and 8.5 in January are higher than those of December. Especially, the standard deviation of ensemble scenarios is higher in the central regions including Gyeonggi, and Gangwon, where the mean surface temperature is lower than southern regions along with Chungbuk. Such differences in precisions of climate ensemble scenarios imply that those uncertainty information should be taken into account for the implementation of national climate change policy.

• Journal of dental hygiene science
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• v.15 no.1
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• pp.54-59
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• 2015

The present study investigated the influences of various abutment teeth shapes (maxillary right canine, pre-molar, molar) on the marginal adaptation of computer aided design/computer aided manufacturing-fabricated zirconia core. In vitro adaptation of zirconia cores manufactured by three different abutments were evaluated. Thirty zirconia cores were made per each models and the adaptation was evaluated through a silicone replica technique. The measurement of the adaptation was carried out using digital microscope. The mean and standard deviation of each reference point were analyzed using the one-way (ANOVA) and Tukey's honestly significant difference tests (${\alpha}=0.05$). The overall marginal fits of the zirconia cores were as follows: canine: $47.59{\mu}m$, pre-molar: $43.74{\mu}m$, molar: $40.36{\mu}m$. They were no statistically significant differences between groups for adaptation (p>0.05). This confirmed that the type of abutment teeth used does not determine the precision of fit of zirconia core.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.170-177
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• 2020

This study was descriptive research examining the effects of gender role conflict and major satisfaction on college life adaptation of male nursing students. The subjects of this study were male nursing students enrolled in three universities located in D metropolitan city from March 2 to April 30, 2020. The SPSS 22.0 program was used for data analysis, frequency and percentage, mean and standard deviation, correlation analysis, t-test, and ANOVA. As a result, the average of the gender role conflict among male nursing college students was 3.70±0.43 points. The major satisfaction level was 2.84±0.24 points, and the college life adaptation was 2.49±0.28. The characteristics of the variables according to general characteristics showed that gender role conflict was significantly related to age; major satisfaction was significantly related to age and type of residence, and college life adaptation was significant according to age and military service. Based on the above results, it is necessary to establish positive professional intuition as a way to increase the adaptation of male nursing students to college life and to develop programs actively to reduce gender role conflict and increase the major satisfaction by promoting awareness related to sexual identity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.101-109
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• 2021

This study was conducted to investigate the effects of internet game addiction and self-efficacy on the campus life adaptation of nursing students. The subjects were selected from 182 nursing students registered as college members and data collection was conducted from September 20 to October 3, 2019. The collected data was analyzed based on frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple regression using the SPSS /WIN 26.0 program. The internet game addiction score of nursing college students was shown to be 1.14±.30 out of four points, the self-efficacy score was shown to be 3.39±.55 out of five points and the campus life adaptation score was shown to be 3.18±.53 out of five points. There was a significant correlation between internet game addiction (r=-.220, p=.003), self-efficacy (r=.649, p<.001), and campus life adaptation. The predictors were self-efficacy (��=.588, p<.001), gender (��=.183, p=.001), and internet game addiction (��=.183, p=.001), which accounted for 45.9% of the variance in the campus life adaptation of nursing students. The results of this study delineate the need for the development and application of diverse programs that can increase self-efficacy and prevent internet game addiction in nursing students.

• Korean Journal of Computational Design and Engineering
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• v.18 no.6
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• pp.461-469
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• 2013

Computer simulation with FEM is very useful to analyze hypervelocity impact phenomena that are tremendously expensive or otherwise too impractical to analyze experimentally. Shock physics can be efficiently handled by mesh adaptation which allows finite element mesh to be locally optimized to resolve moving shock wave in explosion. In this paper, an adaptive meshing technique based upon quadtree data structure was applied to resolve ballistic impact phenomena. The technique can adaptively refine a mesh in the neighborhood of a shock and coarsen the mesh for the smooth flow behind the shock according to a criterion. The criterion for refinement and coarsening is based upon the standard deviation of the gradient of shock pressure on the associated field. Shock simulation starts with the rough mesh of the pressure field and mesh density is increased locally under the criterion at each time step. The results show that the mesh adaptation enables to minimize the global computation error of FEM and to increase storage and computational saving compared to the fixed resolution of the conventional static mesh approach.

• Journal of Power Electronics
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• v.13 no.1
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• pp.122-138
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• 2013

Adaptive control of a peak current mode controlled (PCM) boost converter supplied by a PEM fuel cell is described in this paper. The adaptive controller with reference model and signal adaptation is developed in order to compensate the deviation of the response during the change of the operating point. The procedure for determining the adaptive algorithm's weighting coefficients, based on a combination of the pole-zero placement method and an optimization method is proposed. After applying the proposed procedure, the optimal adaptive algorithm's weighting coefficients can be determined in just a few iterations, without the use of a computer, thus greatly facilitating the application of the algorithm in real systems. Simulation and experimental results show that the dynamic behavior of a highly nonlinear control system with a fuel cell and a PCM boost converter, can fairly accurately be described by the dynamic behavior of the reference model, i.e., a linear system with constant parameters.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.2
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• pp.97-106
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• 1999

This paper proposes the structure and the algorithm of the Fuzzy-Neural Controller(FNNC) which is able to adapt itself to unknown plant and the change of circumstances at the Fuzzy Logic Controller(FLC) with the Neural Network. This Learning Fuzzy Logic Controller is made up of Fuzzy Logic controller in charge of a main role and Neural Network of an adaptation in variable circumstances. This construct optimal fuzzy controller applied to the 2-area load frequency control of power system, and then it would examine fitness about parameter variation of plant or variation of circumstances. And it proposes the optimal Scale factor method wsint three preformance functions( E, , U) of system dynamics of load frequency control with error back-propagation learning algorithm. Applying the controller to the model of load frequency control, it is shown that the FNNC method has better rapidity for load disturbance, reduces load frequency maximum deviation and tie line power flow deviation and minimizes reaching and settling time compared to the Optimal Fuzzy Logic Controller(OFLC) and the Optimal Control for optimzation of performance index in past control techniques.