• Journal of the Korean Society of School Health
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• v.36 no.3
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• pp.92-102
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• 2023

Purpose: The purpose of this study was to investigate the mediating effect of college adjustment on the relationship between self-leadership and career decision-making self-efficacy in first-year nursing students. Methods: This descriptive research involved 250 nursing freshmen at two local universities and analyzed data from the final 170 students. Descriptive statistics, the independent t-test, the Kruskal-Wallis test, the Mann-Whitney U test, the Pearson correlation coefficient and multiple regression were employed for data analysis. The mediating effect was assessed following Baron and Kenny's three-step verification procedure, and the statistical significance of the mediating effect was determined by bootstrapping. Results: Academic adjustment (β=.24, p<.001) and institutional adjustment (β=.20, p=.004), sub-factors of college adjustment, were identified to have a partial mediating effect on the relationship between the subject's self-leadership and career decision-making self-efficacy (β=.47, p<.001). Conclusion: Enhancing the career decision-making self-efficacy of first-year nursing students could become more effective through the development of programs focused on career exploration and counseling, which include content to promote self-leadership and college adjustment (academic adjustment and institutional adjustment).

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.3
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• pp.23-32
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• 2007

The H.264/AVC video coding standard uses rate distortion optimization (RDO) method to improve the compression performance in the intra prediction. The complexity and computational load are increased more than previous standard by using this method, even though this standard selects the best coding mode for the current macroblock. This paper proposes a fast intra mode decision algorithm for H.264/AVC encoder based on dominant edge direction (DED). To apply the idea, this algorithm uses the approximation of discrete cosine transform (DCT) coefficient. By detecting the DED, 3 modes instead of 9 modes are chosen for RDO calculation to decide the best mode in the $4{\times}4$ luma block. As for the $16{\times}16$ luma and $8{\times}8$ chroma block, instead of 4 modes, only 2 modes are searched. Experimental results show that the computation time of the proposed algorithm is decreased to about 72% of the full search method with negligible quality loss.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.10
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• pp.2601-2619
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• 2012

A differencing multiuser detection (MUD) method is proposed for multiple-input multiple-output (MIMO) direct sequence (DS) ultra-wideband (UWB) system to cope with the multiple access interference (MAI) and the computational efficiency in Nakagami fading channel. The method, which combines a multiuser-interference-cancellation-based decision feedback equalizer using error feedback filter (MIC DFE-EFF), a coefficient optimization algorithm (COA) and a differencing algorithm (DA), is termed as MIC DFE-EFF (COA) with DA for short. In the paper, the proposed MUD method is illuminated from the rudimental MIC DFE-EFF to the advanced MIC DFE-EFF (COA) with DA step by step. Firstly, the MIC DFE-EFF system performance is analyzed by minimum mean square error criterion. Secondly, the COA is investigated for optimization of each filter coefficient. Finally, the DA is introduced to reduce the computational complexity while sacrificing little performance. Simulations show a significant performance gain can be achieved by using the MIC DFE-EFF (COA) with DA detector. The proposed MIC DFE-EFF (COA) with DA improves both bit error rate performance and computational efficiency relative to DFE, DFE-EFF, parallel interference cancellation (PIC), MIC DFE-EFF and MIC DFE-EFF with DA, though it sacrifices little system performance, compared with MIC DFE-EFF (COA) without DA.

• Journal of the Society of Naval Architects of Korea
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• v.56 no.6
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• pp.488-496
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• 2019

The estimation of block erection work time at a dock is one of the important factors when establishing or managing the total shipbuilding schedule. In order to predict the work time, it is a natural approach that the existing block erection data would be used to solve the problem. Generally the work time per unit is the product of coefficient value, quantity, and product value. Previously, the work time per unit is determined statistically by unit load data. However, we estimate the work time per unit through work time coefficient value from series ships using machine learning. In machine learning, the outcome depends mainly on how the training data is organized. Therefore, in this study, we use 'Feature Engineering' to determine which one should be used as features, and to check their influence on the result. In order to get the coefficient value of each block, we try to solve this problem through the Ensemble learning methods which is actively used nowadays. Among the many techniques of Ensemble learning, the final model is constructed by Stacking Ensemble techniques, consisting of the existing Ensemble models (Decision Tree, Random Forest, Gradient Boost, Square Loss Gradient Boost, XG Boost), and the accuracy is maximized by selecting three candidates among all models. Finally, the results of this study are verified by the predicted total work time for one ship among the same series.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5152-5159
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• 2015

This descriptive correlational study was to intended to analyze the relationship among emotional intelligence, academic self-efficacy and career decision level in high school girls. Data were collected from 241 high school girls in B and C city and analyzed using SPSS 20.0. The results are as follows: First, the mean score of emotional intelligence, academic self-efficacy and career decision level were above moderate. The levels of score were significant differences according to grade, school record, economic status, hoping career, and peer relationship. There were positive correlations among emotional intelligence, academic self-efficacy and career decision level. Therefore, it is necessary to consider emotional intelligence and academic self-efficacy for improving career decision level of high school girls.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.8
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• pp.86-95
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• 1998

Intra-frame video compression, which cannot make use of temporal predictions, requires much higher bit rates compared with inter-frame schemes. In order to reduce bit rates, intra-frame predictive coding methods in DCT domain have been studied especially within the framework of the MPEG-4 video coding standard currently being developed. In this paper, we propose novel intra-frame predictive coding methods in DCT domain with the marginal complexity increase over the conventional methods . The proposed methods consist of a DC coefficient prediction method and two AC coefficient prediction methods. The proposed methods consist of a DC coefficient prediction method and two AC coefficient prediction methods. The proposed DC coefficient prediction method makes it possible to adaptively select the prediction directions without overhead bits, by comparing gradients of DC coefficients from neighboring blocks. As the AC coefficient prediction methods, first, we present an effective method which can improve the prediction directions of the MPEG-4 scheme by considering the DC coefficient of the current block to be coded. And, we present another effective method that decision on the prediction is carried out for each AC coefficient. Simulation results show that substantial bit savings can be achieved by the proposed methods.

• Journal of the Korean GEO-environmental Society
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• v.13 no.8
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• pp.15-24
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• 2012

Even though decision of coefficient of horizontal subgrade reaction is important in analysis for pile under lateral load, the behavior of pile under lateral loading is estimated differently due to using established suggestion. Therefore this study estimates coefficient of horizontal subgrade reaction by using Chang's method or numerical inverse analysis method with the result of lateral load test. Then this study investigates the adequacy and reliability for coefficient of horizontal subgrade reaction. The analytical results of coefficient of horizontal subgrade reaction with lateral load test showed that coefficient of horizontal subgrade reaction with Chang's method was underestimated as compared with inverse analysis. Deformation modulus of foundation by Standard Specifications for Highway Bridges and Eo${\fallingdotseq}$1,400~1,600N showed similar range like range of coefficient of horizontal subgrade reaction with lateral load test.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.628-640
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• 2016

This research is a descriptive study intended to identify the factors involved in the influence of the emotional intelligence of nursing students on their career decision-making self-efficacy and career decision levels. The correlations among the major variables were analyzed by calculating the Pearson's correlation coefficients. To identify the effects of the subjects' general characteristics and emotional intelligence on their career decision-making self-efficacy and career decision levels, a multiple regression analysis was conducted. The analysis results showed that there were positive relationships among emotional intelligence, career decision making and career decision-making self-efficacy. The factors influencing career decision-making self-efficacy were gender (${\beta}=-.155$), motivation to find employment (${\beta}=-.145$), use of emotions (${\beta}=.236$), emotional control (${\beta}=.197$), and understanding of others' emotions (${\beta}=.157$). In addition, the factors affecting the subjects' career decision level were the year level (${\beta}=.273$), motivation to find employment (${\beta}=-.145$), motivation to obtain others' recommendation (${\beta}=-.138$), and emotional control (${\beta}=.223$). Hence, sufficient endorsement from school or home is required with regard to the roles and duties of a nurse, in order to motivate future students to select the nursing degree. Furthermore, it is suggested that emotional intelligence may be improved when the degree program provides a higher proportion of emotional education.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.4
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• pp.83-93
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• 2023

Purpose : This study examined the effects of college students' occupational value and social support on their career decision status. Methods : This research was conducted between May 6 and May 30 in 2023 with 228 college students from city B in South Korea as the study participants. The frequency, percentage, mean, and standard deviation of the collected data were analyzed, while t-test, ANOVA test, Scheffe's test, Pearson correlation coefficient, and a multivariate regression analysis were conducted using the SPSS/WIN 22.0 program. Results : The analysis revealed that the research subjects had an average occupational value of 3.58±.44, social support of 4.18±.56, and a career decision status of 2.82±.59. Notably, a significant difference in the career decision status of the students was observed with regard to their fields of major (F=2.36, p=.019), However, no other variable demonstrated a significant difference. The confidence level pertaining to career decision-making was found to be positively correlated with the pursuit of status and self-direction (r=.25, p<.001), pursuit of creativity (r=.16, p=.017), pursuit of relationship (r=.35, p<.001), pursuit of diversity and change (r=.16, p=17), pursuit of interest (r=.19, p=.003), pursuit of compensation (r=.29, p<.001), pursuit of professionalism (r=.46, p<.001), material support (r=.25, p<.001), appraisal support (r=.35, p<.001), informational support (r=.32, p<.001), and emotional support (r=.29, p<.001). Moreover, the indecision level related to career decision-making demonstrated a positive correlation with the pursuit of excellence (r=.17, p=.010). The factors that affected the confidence level of career decision-making included appraisal support (β=.29, p<.001) and pursuit of compensation (β=.19, p=.003), whose collective explanatory power was 15 %. It was further observed that appraisal support (β=-.27, p<.001), pursuit of professionalism (β=-.16 p=.017), pursuit of excellence (β=.17, p=.005), and the field of major (β=-.16, p=.012) largely influenced the indecision level related to career decision-making, together bearing an explanatory power of 17 %. Conclusion : The results of this study have important implications for enhancing college students' career decision status. Moreover, further research investigating the diverse variables that affect students' career decision status is necessary, along with effective endeavors to improve education and develop programs that positively affect college students' career decision status.

• Journal of the Korean earth science society
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• v.29 no.6
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• pp.495-505
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• 2008

The main purposes of this study are to: (1) to develop astronomy observation program based on a standardized coefficient decision program; and (2) to apply the developed program to after-school or club activities. As a first step, we analyzed activities related to astronomy in the authorized textbooks that are currently adopted in high schools. based on the analysis, we developed an astronomy observation program according to the standardized coefficient decision program, and the program was applied to students' astronomical observations as part of the club activities. Specifically, this program used a 102 mm refracting telescope and digital camera. we took into account the observation site's environment of the urban areas in which many school were located and then developed a the computer program for observation activities. The results of this study are as follows. First, the current astronomical education in schools was based off of the textbooks. Specifically, it was mostly about analyzing the materials and making simulated experiments. Second, most schools participated in this study were located in urban areas where students had more difficulty in observation than in rural areas. Third, an exemplary method was investigated in order to make an astronomical observation efficiently in urban areas with the existing devices. In addition, the standardized coefficient decision program was developed to standardize the magnitude of stars according to the observed value. Finally, based on the students' observations, we found that there was no difference between the magnitude of a star in urban sites and in rural sites. The current astronomical education in schools lacks an activity of practical experiments, and many schools have not good observational sites because they are located in urban areas. However, use of this program makes it possible to collect significant data after a series of standardized corrections. In conclusion, this program not only helps schools to create an active astronomy observation activity in fields, but also promotes students to be more interested in astronomical observation through a series of field-based activities.