• Journal of the Institute of Electronics Engineers of Korea SC
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• v.41 no.4
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• pp.21-28
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• 2004

This paper presents a direct multivariable self-tuning controller using neural network which adapts to the changing parameters of the higher order multivariable nonlinear system with nonminimum phase behavior, mutual interactions and time delays. The nonlinearities are assumed to be globally bounded, and a multivariable nonlinear system is divided linear part and nonlinear part. The neural network is used to estimate the controller parameters, and the control output is obtained through estimated controller parameter. In order to demonstrate the effectiveness of the proposed algorithm the computer simulation is done to adapt the multivariable nonlinear nonminimm phase system with time delays and changed system parameter after a constant time. The proposed method compared with direct multivariable adaptive controller using neural network.

• Journal of Engineering Education Research
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• v.14 no.3
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• pp.9-14
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• 2011

This study was conducted to compare the learning styles and self-leadership between engineering college students with high and low team performance records. About 70% of students in high team performance group showed learning styles of converger and accommodator, whereas about 67% of students in low team performance group showed learning styles of accommodator and diverger. In regard to self-leadership, high team performance group showed higher level of self-leadership, especially self-observation, self-punishment, natural reward strategies, visualizing successful performance, self-talk, and evaluating beliefs and assumptions. It is recommended to provide the engineering students with the specialized training program to complement their learning styles and self-leadership strategies.

• Journal of the Korea Society of Computer and Information
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• v.19 no.3
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• pp.135-145
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• 2014

This study aims to draw the implication in improving middle school students' school adjustment and suggest policy methods for their school adjustment depending on the degree of social support. As a result of the research, it was found that middle school students' resilience factors such as self-control ability and interpersonal relationship ability had the influence on their impulse control, self-esteem, communication and self-expansion ability on their social competence. Emotional regulation, impulse control, self-esteem, communication and self-expansion ability had the influence on school adjustment. It was also known that middle school students' social competence had high influence on their school adjustment and their self-expansion ability had the highest influence on social competence. Middle school students' resilience factors such as emotional regulation, empathy and self-expansion ability may be different in their influence on social competence. Impulse control may be different depending on their school adjustment and a degree of social support, and social competence may be different depending on their school adjustment and a degree of social support.

• Proceedings of the Korean Information Science Society Conference
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• 2000.04b
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• pp.622-624
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• 2000

모션 캡쳐 데이터를 이용하는 애니메이션에서 가장 큰 이슈는 재사용이다. 같은 동작이지만 약간의 변화가 있는 동작을 하는 데이터를 얻기 위해 다시 모션 캡쳐 장비를 가지고 작업을 해야 한다면 많은 시간과 돈의 낭비를 초래하게 된다. 모션 캡쳐 데이터의 재사용에 대한 연구 중 동작 적응은 이미 존재하는 모션 캡쳐 데이터를 다른 가상 캐릭터에 적용하는 문제를 다루고 있다. 지금까지의 연구는 동작배우와 가상 캐릭터의 길이 차이에만 초점을 맞추어 진행되었다. 그러나 본 연구에서는 길이의 차이와 함께 부피의 차이를 모두 고려하였다.

• Journal of KIISE:Software and Applications
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• v.31 no.1
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• pp.61-70
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• 2004

It is difficult to find an appropriate web site because exponentially growing web contains millions of web documents. Personalization of web search can be realized by recommending proper web sites using user profile but more efficient method is needed for estimating preference because user's evaluation on web contents presents many aspects of his characteristics. As user profile has a property of non-linearity, estimation by classifier is needed and combination of classifiers is necessary to anticipate diverse properties. Structure adaptive self-organizing map (SASOM) that is suitable for Pattern classification and visualization is an enhanced model of SOM and might be useful for web mining. Fuzzy integral is a combination method using classifiers' relevance that is defined subjectively. In this paper, estimation of user profile is conducted by using ensemble of SASOM's teamed independently based on fuzzy integral and evaluated by Syskill ＆ Webert UCI benchmark data. Experimental results show that the proposed method performs better than previous naive Bayes classifier as well as voting of SASOM's.

• The Korean Journal of Elementary Counseling
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• v.9 no.1
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• pp.133-142
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• 2010

The purpose of this study is to examine the influence of encouragement-centered class management on elementary students' adaptation to school life and self-encouragement. The various encouragement-centered class management tactics were developed which were based on Adler's Individual psychology theory. Subjects were two classes which were 5th grade at A elementary school in Gwangju. One class was experiment group(n=28) and the other class was control group(n=31). Data were collected through the school adaptation scale(kang, 2008) and self-encouragement scale(Gi and Hong, 2008). The collected data were analysed using ANCOVA. The results of this study were following; First, school adaptation score had improved significantly in experimental group than the control group. Second, self-encouragement score had improved significantly in experimental group than the control group.

• Proceedings of the KSMRM Conference
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• 2003.10a
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• pp.76-76
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• 2003

목적： fMRI와 뇌파의 동시측정 방법은 높은 시간적-공간적 해상도를 동시에 달성할 수 있는 뇌기능 측정을 가능케 하고, 각각의 방법이 제공하는 정보를 상호보완적으로 동시에 이용할 수 있도록 하는 유용한 방법이다. 그러나 자기공명영상을 얻기 위한 경사자계가 유발하는 잡음과 높은 자기장 내에서의 심장박동으로 인한 미세한 움직임 때문에 생기는 잡음이 뇌파신호의 질을 크게 저하하는 요소로 작용하여 이를 해결하기 위한 계측시스템의 최적화와 신호처리 방법의 개발이 요구된다. 본 논문에서는 평균차감법과 recursive least square 적응 필터링 방법에 기반한 심장 박동잡음의 감소를 위한 신호처리 방법의 개발 결과에 대한 연구 결과를 제시한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.8
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• pp.17-22
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• 2016

For the self-adaptive equalization of higher-order QAM systems, this paper proposes a new soft decision-directed (SDD) algorithm that opens the eye patterns quickly as well as significantly reducing the error level in the steady-state when it is applied to the initial equalization stage with completely closed eye patterns. The proposed method for M-QAM application minimized the computational complexity of the existing SDD by the symbol estimated based on the two symbols closest to the observation, and greatly simplified the soft decision independently of the QAM order. Furthermore, in the symbol estimating it increased the reliability of the estimates by applying the superior properties of the sigmoid function and avoiding the erroneous estimation of the threshold function. In addition, the initialization performance was improved when an error is generated to update the equalizer, weighting the symbol decision by the threshold function to the error, resulting in an extension of the range of error fluctuations. As a result, the proposed method improves remarkably the computational complexity and the properties of initialization and convergence of the traditional SDD. Through simulations for 64-QAM and 256-QAM under multipath channel conditions with additive noise, the usefulness of the proposed methods was confirmed by comparing the performance of the proposed 2-SDD and two forms of weighted 2-SDD with CMA.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.40 no.4
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• pp.264-274
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• 2003

This paper presents a direct generalized minimum-variance self tuning controller with a PID structure using neural network which adapts to the changing parameters of the nonlinear system with nonminimum phase behavior, noises and time delays. The self-tuning controller with a PID structure is a combination of the simple structure of a PID controller and the characteristics of a self-tuning controller that can adapt to changes in the environment. The self-tuning control effect is achieved through the RLS (recursive least square) algorithm at the parameter estimation stage as well as through the Robbins-Monro algorithm at the stage of optimizing the design parameter of the controller. The neural network control effect which compensates for nonlinear factor is obtained from the learning algorithm which the learning error between the filtered reference and the auxiliary output of plant becomes zero. Computer simulation has shown that the proposed method works effectively on the nonlinear nonminimum phase system with time delays and changed system parameter.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.422-432
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• 2018

This study is designed to find out the causal relation between social support, career capability, career decision-making self-efficacy and career adaptability for the career interrupted women. For this purposes the scales of social support, career capability, career decision related self efficacy and career adaptability were used. For this study, the questionnaires were distributed from Mar. 2, 2018 to Apr. 6, 2018 to 960 to the career interrupted women who had the experience of getting training at the vocational school, beauty school and women's centers located in Seoul and Gyeonggi area (composed of married women in their 30s and 50s who were receiving the education of beauty care for more than 1-9 months). 920 questionnaires got responded from the women and they were used for the final analysis with Cronbach's ${\alpha}$, exploratory factor analysis, factor analysis, frequency analysis and correlation analysis performed with SPSS program and the structural equation performed with AMOS program. The findings from the analysis are as follows; First, it was found that the structural model between career capability, social support, career decision related self efficacy and career adaptability are proper. Second, the path coefficient of the structural model was found to be statistically significant with respect to all of career capability, social support, career decision related self efficacy and career adaptability. Third, it was found that in the relation between career capability, social support and career adaptability, the career decision related self efficacy has the mediating effect. These results show that if the level of career adaptability is to be enhanced for the caber interrupted women, the career decision related self efficacy can make the critical role in addition to the career capability and social support. So, this study tries to offer the basic data required for the preparation of career and the development of future career for the success of career interrupted women going back to the workplace.