• Proceedings of the IEEK Conference
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• 2000.06e
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• pp.47-50
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• 2000

In this paper, we propose PID type direct control method using single neuron neural network. The proposed method has an output error and 2 time-delay as inputs and is designed to have input weights composed of P, I, D parameters to be controlled through teaming. We could verify the better performance of this system than the conventional method through simulations. And the reduced calculation, due to single neuron, makes it possible the real time processing, and the simple implementation.

• Proceedings of the IEEK Conference
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• 2003.11b
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• pp.99-102
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• 2003

In this paper we propose an adaptive learning method for HMM classifiers by using splitting and merging techniques to overcome the problem of the conventional teaming, where one HMM classifier per class has been trained, individually. The experimental results demonstrate a possibility that the proposed mechanism could be applied for applications of having multiple clusters in a class.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.143-143
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• 2000

A neural net based generalized predictive control(NNGPC) is presented for a hydraulic servo position control system. The proposed scheme employs generalized predictive control, where the future output being generated from the output of artificial neural networks. The proposed NNGPC does not require an accurate mathematical model for the nonlinear hydraulic system and takes less calculation time than GPC algorithm if the teaming of neural network is done. Simulation studies have been conducted on the position control of a hydraulic motor to validate and illustrate the proposed method.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.238-238
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• 2000

In this paper, to increase the utilization of uranium resources contained in the spent fuel, the spent fuel is reused. for this, the spent fuel is dismantled or spent fuel rod is extracted from the spent fuel assembly. Therefore, to achieve the performance of compacting the spent fuel assembly, we proposed the controller consisting of adaptive and fuzzy with teaming algorithm. In order to show the performance of proposed algorithm compares, we compared the controller with conventional controller in plant.

• School Mathematics
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• v.1 no.2
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• pp.513-528
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• 1999

The primary purpose of the constructivist teaching experiment is to experience and construct models of students' mathematical teaming and reasoning. The constraints the teacher experience in teaching experiment constitute a basis for understanding students' mathematics. The constructivist teaching experiment that includes a dynamic interaction process between teacher and students and between students and students, is the most hopeful research method in mathematics education. In this paper, I introduced the constructivist teaching experiment and showed several examples of applications that were used in the previous research.

• Journal of The Korean Astronomical Society
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• v.34 no.4
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• pp.325-327
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• 2001

This poster summarizes numerical collapse calculations of non-rotating and rotating singular, isothermal toroids that employed the zeus2d (Norman and Stone 1992) magnetohydrodynamics package. In the non-rotating collapse calculations, it is seen that infall proceeds at a constant rate and magnetically supported, high density pseudo-disks form in the equatorial plane. With rotating clouds, however, toroidal magnetic fields grow as infall proceeds, teaming with angular momentum to slow the inflow to the center and generate outflow.

• Proceedings of the KIEE Conference
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• 2001.07e
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• pp.62-64
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• 2001

This paper presents a forecasting method for production volume of each model manufacture d goods by using Back-Propagation technique of Neural Networks. As the learning constant and the momentum constant are respectively 0.65 and 0.94, the teaming number is the least, and the forecating accuracy is the highest. When the learning process is more than 1,000 times, the accurate forecating was possible regardless of kind of product.

• Proceedings of the Korea Society of Mathematical Education Conference
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• 2008.05a
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• pp.49-57
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• 2008

The traditional Chinese mathematics education is examination-contended and has its disadvantages. The mathematics education reform today is undergoing in a wider era and faces its attention on innovation education individually education, flexible and diversified education, give prominence to integration of the curriculum, the integration of teaching content and information technology, and the changing of teaming methods and teaching methods. These are all the new trends in the mathematics education reform in China.

• Proceedings of the KAIS Fall Conference
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• 2004.11a
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• pp.121-123
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• 2004

본 논문에서는 유비쿼터스(Ubiquitous) 혁명이 미래학교를 어떻게 변화시킬 것인가 예측해 보며, 유비쿼터스 컴퓨팅과 유비쿼터스 네트워크기술을 중심으로 지식사회에서의 e-teaming 과 In (Information Communication Technology) 활용한 학습 연구를 수행하였다. 또한 e-school 의 모형과 협동학습을 기반으로 하는 블렌디드 러닝(Blended-Loaming) 활용 교수-학습 과정 안을 제안한다.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2879-2881
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• 1999

This paper presents the adaptive Active Noise Control(ANC) system using the Neuro-Fuzzy controller. In general, the character of noise is time-varing and nonlinear Thus controller must have the adaptivness so that applied in Active Noise Control system to cancel the noise. This paper propose the Neuro-Fuzzy controller trained with back-propagation teaming algorithm to optimize the parameters of controller The objects of this paper are cancel the noise, extract the original(speech) signal polluted by noise and design the Neuro-Fuzzy controller.