• The Journal of Korean Society for School & Community Health Education
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• v.20 no.3
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• pp.101-111
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• 2019

Objectives: The aim of this study was to examine factors influencing depression of multicultural adolescents and to develop health education program of multicultural adolescents' depression. Methods: This study used data from the 6th MAPS( Multicultural Adolescents Panel Study). Data were analyzed with t-test, ANOVA, Pearson's correlation and multiple linear regression. Results: The significant predictors of depression of multicultural adolescents were social withdrawal, self-esteem, cultural adaptation stress and parental support. Conclusions: Based on the results of this study, it is necessary to develop programs to improve depression of multicultural adolescents.

• Proceedings of the KIEE Conference
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• 1999.11c
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• pp.488-490
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• 1999

This paper describes the design of self-tuning speed controller for DC motor drive system using RLS(Recursive Least Squares) algorithm and Pole-Placement method. The model parameters, related to inertia and damping coefficient of motor, are estimated on-line by using RLS estimation algorithm. And a control signal is calculated by using pole placement method. Simulation and experimental results show that the proposed controller possesses excellent adaptation capability than a conventional PI/IP controller under parameter change.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2711-2713
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• 2005

This paper presents the tracking control method of robotic systems with uncertainties using self recurrent wavelet neural network (SRWNN) via the backstepping design technique. The SRWNN is used as the uncertainty observer of the robotic systems. The adaptation laws for weights of the robotic systems are induced from the Lyapunov stability theorem, which are used for on-line controlling robotic systems. Computer simulations of a three-link robot manipulator with uncertainties verify the validity of the proposed SRWNN controller.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.2319-2324
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• 2005

This paper proposes a intelligent gain and boundary layer based sliding mode control (SMC) method for robotic systems with unknown model uncertainties. For intelligent gain and boundary layer, we employ the self recurrent wavelet neural network (SRWNN) which has the properties such as a simple structure and fast convergence. In our control structure, the SRWNNs are used for estimating the width of boundary layer, uncertainty bound, and nonlinear terms of robotic systems. The adaptation laws for all parameters of SRWNNs and reconstruction error bounds are derived from the Lyapunov stability theorem, which are used for an on-line control of robotic systems with unknown uncertainties. Accordingly, the proposed method can overcome the chattering phenomena in the control effort and has the robustness regardless of unknown uncertainties. Finally, simulation results for the three-link manipulator, one of the robotic systems, are included to illustrate the effectiveness of the proposed method.

• IEMEK Journal of Embedded Systems and Applications
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• v.7 no.5
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• pp.267-275
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• 2012

In this paper, we present the model-based autonomic computing framework for a cyber-physical system which provides a self-management and a self-adaptation characteristics. A development process using this framework consists of two phases: a design phase in which a developer models faults, normal status constrains, and goals of the CPS, and an operational phase in which an autonomic computing engine operates monitor-analysis-plan-execute(MAPE) cycle for managed resources of the CPS. We design a hierachical architecture for autonomic computing engines and adopt the Model Reference Adaptive Control(MRAC) as a basic feedback loop model to separate goals and resource management. According to the GroundVehicle example, we demonstrate the effectiveness of the framework.

• Journal of Families and Better Life
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• v.21 no.6
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• pp.117-127
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• 2003

This study examined the effect of resilience on the adjustment of retired husbands and their wives. Data was collected from 174 retired husbands and their wives in the Seoul metropolitan area. Collected data were analyzed by mean score, percentile, paired-t tests and regression analyses. The major findings were as follows : 1. There was no significant difference in the adjustments between retired husbands and their wives. 2. Individual resilience, family resilience and social resilience had a strong impact on the adjustment of retired husbands and their wives. Self-esteem, acceptance of retirement, communication between the couple, family cohesion, and retirement policy had a significantly positive impact on the husbands' adjustment. 3. As for the adjustment of the wives, self-esteem, communication between the couple, family cohesion, acceptance of husbands' retirement and religious activity had a significantly positive impact. In summary, this study shows the importance of resilience in the adjustment of retired husbands and their wives.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.10a
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• pp.402-408
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• 1997

일정 학습계수와 이진 강화함수를 지닌 자기조직화 형상지도(Self-Organizing Feature Map)신경회로망을 FPGA위에 하드웨어로 구현하였다. 원래의 SOFM 알고리즘에서 학습계수가 시간 종속형인데 반하여, 본 논문에서 하드웨어로 구현한 알고리즘에서는 학습계수가 일정인 값으로 고정되며 이로 인한 성능저하를 보상하기 위하여 이진 강화함수를 부가하였다. 제안한 알고리즘은 복잡한 곱셈 연산을 필요로 하지 않으므로 하드웨어 구현시 보다 쉽게 구현 가능한 특징이 있다. 1개의 덧셈/뺄셈기와 2개의 덧셈기로 구성된 단위 뉴런은 형대가 단순하면서 반복적이므로 하나의 FPGA위에서도 다수의 뉴런을 구현 할 수 있으며 비교적 소수의 제어 신호로서 이들을 모두 제어 가능할 수 있도록 설계하였다. 실험결과 각 구성부분은 모두 이상 없이 올바로 동작하였으며 각 부분이 모두 종합된 전체 시스템도 이상 없이 동작함을 알 수 있었다.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.257-260
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• 1997

Bluetooth is the most promising network paradigm which ca open the new area in the information technology. Especially, bluetooth can link all the electrical products and PCs(Personal Computer) to cellular phone or PDA. In this paper, the data from ECU which are gathered by scanner are communicated between tow PCs using the bluethooth modules. The acquired data are ECU's self diagnosis signal and sensor output signal. Self diagnosis signals are very important to check the ECU's state and sensor output signals. Using these data, the possibility of wireless communication with ECU is developed and verified. Protocol stack of bluetooth is L2CAP through HCI and wireless communication software of ECU's signal is developed using VC++ in Windows 98 environment.

• Korean Journal of Child Studies
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• v.20 no.2
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• pp.279-297
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• 1999

The process of political and economic transformation of Germany following reunification has been well documented, but the question of psychological reunification is addressed by the present study. In order to analyze how East German adolescents adapted to the changing socialization context following reunification, questionnaires on values orientation, self-efficacy, subjective well being, coping, attitude toward violence and toward reunified German society were administered to 149 high school students. Results indicated that subjects had high scores on value orientation in private life and used active coping strategies. They had high scores in self-efficacy and subjective well being. Their political attitudes were complex and diverse. There were group differences by gender and type of school attended.

• Journal of the Korean Society for Precision Engineering
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• v.32 no.1
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• pp.39-47
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• 2015

Globalization, unpredictable markets, increased products customization and frequent changes in products, production technologies and machining systems have become a complexity in today's manufacturing environment. One key strategy for coping with the evolution of this situation is to develop or apply an enable technology such as intelligent manufacturing. Intelligent manufacturing system (IMS) is characterized by decentralized, distributed, networked compositions of heterogeneous and autonomous systems. The model of IMS is inherited from the organization of the living systems in biology and nature so that the manufacturing system has the advanced characteristics inspired from biology such as self-adaptation, self-diagnosis, and selfhealing. To prove this concept, an innovative system with applying the advanced information and communication technology such as internet of things, cognitive agent are proposed to integrate, organize and allocate the machining resources. Innovative system is essential for modern machining system to flexibly and quickly adapt to new challenges of manufacturing environment.