• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.257-258
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• 2009

다양한 교육 시스템이 개발되고 있는 가운데 핵심적인 연구 방향은 사용자의 효과적인 학습 결과를 보장할 수 있는 새로운 방법론의 적용에 있다. 본 논문에서는 교육 시스템을 개발한 개발자와 교육 시스템을 이용하는 사용자 사이의 문의형 상호작용 유형을 기반으로 상호작용의 내용은 사용자에 의해 만들어지지만 교육 컨텐츠를 이용한 상호작용의 진행은 사용자가 주도하고, 자가 조절 학습을 유도하여 학습효과를 배가 시키고자 한다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.12
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• pp.1865-1870
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• 2010

We develop an IPMC actuator with self-sensing behavior based on an accurate neural network model (NNM). The supplied voltage and voltage signals measured at two determined points on both sides of the IPMC sheet are used as inputs to the NNM. A CCD laser displacement sensor is installed in the rig for accurate measurement of the IPMC tip displacement that is used as the training output of the proposed NNM. Consequently, the NNM model is used to estimate the IPMC tip displacement; the NNM parameters are optimized by the collected input/output training data. The effectiveness of the model for the IPMC actuator is then verified by modeling results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.1A
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• pp.35-40
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• 2011

The complex-valued blind algorithm based on a set of randomly generated symbols and Euclidean distance can take advantage of information theoretic learning and cope with the channel phase rotation problems. On the algorithm, in this paper, the effect of kernel size has been studied and a kernel-modified version of the algorithm that rearranges the forces between the information potentials by kernel-modification has been proposed. In simulation results for 16 QAM and complex-channel models, the proposed algorithm show significantly enhanced performance of symbol-point concentration and no phase rotation problems caused by the complex channel models.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.206-213
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• 2018

For sustainable management under uncertainty, organizations should explore factors influencing organizational creativity. This research examined affective commitment as the factor expected to increase organizational creativity. Clarifying the relationship between affective commitment and organizational creativity, we consider training motivation as a moderator. The participants in this empirical study were 472 employees and 64 firms' CEO to confirm hypotheses that training motivation make strengthen the positive relationship between affective commitment and organizational creativity. Results showed that organizational creativity was associated with affective commitment. Moreover, there was a moderating effect of training motivation on the relationship between organizational commitment and organizational creativity. This study attempted to avoid common method bias by using different sources such as CEO's response and employees' response. The implications for future research are discussed, including exploring the mechanism of organizational creativity and practice.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.433-441
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• 2020

This study was conducted to identify the factors that influence the other behaviors taken by nursing students during online lectures. The study subjects were 304 nursing students in three universities. Data were collected between April 20 and 30, 2020, using by completing structured self report questionnaires. Data were analyzed using T-test, ANOVA, Pearson's correlation coefficient, and multiple regression using SPSS 26.0 program. In correlation analysis, significant negative correlations were found between other behaviors, interest(r=-17, p<.01), understanding(r=-19, p<.01), needs(r=-12, p<.05), learning motivation(r=-12, p<.05), self-regulation efficacy(r=-11, p<.05), learning confidence(r=-14, p<.05), lecture satisfaction(r=-22, p<.01), lecture flow(r=-24, p<.01). In the multiple regression analysis, learning confidence, prefer to discuss & present (β=.19), lecture flow(β=-.15), lecture satisfaction(β=-.15) were statistically significant factors that explained 10.6% of variance of other behaviors taken by nursing students during online lectures. Thus, we suggest to develop that teaching methods and programs to reduce other behaviors taken by nursing students during online lectures.

• Korean Journal of Ecology and Environment
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• v.39 no.1 s.115
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• pp.52-61
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• 2006

The aim of this study was to analyze the seasonal patterns of zooplankton community dynamics in the lower Nakdong River (Mulgum, RK; river kilometer; 27 km from the estuarine barrage), with a Self-Organizing Map (SOM) based on weekly sampled data collected over ten years(1994 ${\sim}$ 2003). It is well known that zooplankton groups had important role in the food web of freshwater ecosystems, however, less attention has been paid to this group compared with other community constituents. A non-linear patterning algorithm of the SOM was applied to discover the relationship among river environments and zooplankton community dynamics. Limnological variables (water temperature, dissolved oxygen, pH , Secchi transparency, turbidity, chlorophyll a, discharge, etc.) were taken into account to implement patterning seasonal changes of zooplankton community structures (consisting of rotifers, cladocerans and copepods). The trained SOM model allocated zooplankton on the map plane with limnological parameters. Three zooplankton groups had high similarities to one another in their changing seasonal patterns, Among the limnological variables, water temporature was highly related to the zooplankton community dynamics (especially for cladocerans). The SOM model illustrated the suppression of zooplankton due to the increased river discharge, particularly in summer. Chlorophyll a concentrations were separated from zooplankton data set on the map plane, which would intimate the herbivorous activity of dominant grazers. This study introduces the zooplankton dynamics associated with limnological parameters using a nonlinear method, and the information will be useful for managing the river ecosystem, with respect to the food web interactions.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.34 no.4
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• pp.333-339
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• 2010

Identification of a steady state is the first step in developing a fault detection and diagnosis (FDD) system of a heat pump. In a complete FDD system, the steady-state detector will be included as a module in a self-learning algorithm, which enables the working system's reference model to "tune" itself to its particular installation. In this study, a steady-state detector of a residential air conditioner based on moving windows was designed. Seven representative measurements were selected as key features for steady-state detection. The optimized moving-window size and the feature thresholds were decided on the basis of a startup-transient test and no-fault steady-state test. Performance of the steady-state detector was verified during an indoor load-change test. In this study, a general methodology for designing a moving-window steady-state detector for applications involving vapor compression has been established.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.12
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• pp.6257-6264
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• 2013

The aim of this study was to identify the influencing factors and the relationships between the learning ability and stress according to the character type in nursing college students. A total of 209 subjects were selected by convenient sampling. The data was collected using a self-reported questionnaire from November 2 to 20, 2012. The differences in the character type, learning ability and stress according to the general characteristics were as follows. The character type was significantly different according to grade (F=6.551, p<.036). In addition, the learning ability was significantly different according to the grade (F=7.059, p<.001), religion (F=4.651, p<.001), school record (F=7.667, p<.001), economic status (F=7.700, p<.000) and methods of reducing stress (F=2.531, p<.030). Stress was significantly different according to the grade (F=7.414, p<.001), school record (F=4.776, p<.009) and cohabitation (F=9.989, p<.000). A negative correlation was observed between the character type and learning ability, and between learning ability and stress. 8.4% of the variance was observed in character type A, which was explained by the learning ability and stress. These findings may be useful for understanding the learning ability of nursing college students and developing more specific programs regarding personality and stress control.