• 한국지진공학회논문집
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• 제9권2호통권42호
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• pp.7-15
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• 2005

본 연구에서는 하이브리드 면진장치가 설치된 단자유도 구조물의 동적거동을 예측할 수 있는 수치해석모델을 제안한다. 하이브리드 면진장치는 MR 감쇠기와 마찰진자시스템(FPS)으로 구성된다. MR감쇠기의 동적거동을 모형화하기 위하여 뉴로-퍼지 모델을 사용한다. 다양한 변위, 속도, 전압의 조합을 사용하여 MR 감쇠기의 성능실험을 수행한 후 얻어진 데이터를 이용하여 MR 감쇠기 뉴로-퍼지 모델을 ANFIS로 학습시킨다. FPS의 모형화는 본 연구에서 유도한 비선형 모델식에 근거하여 뉴로-퍼지 모형화방법을 사용하여 이루어진다. 본 연구에서는 MR 감쇠기로 전달되는 제어전압을 조절하기 위하여 퍼지논리제어기를 사용한다. 다양한 지진하중을 사용한 진동대 실험을 통하여 얻은 실험체의 동적응답과와 뉴로-퍼지 모형화방법을 사용한 수치해석의 결과를 비교한다. 뉴로-퍼지 모델을 사용하여 MR 감쇠기와 FPS를 모형화해서 수치해석을 수행한 결과 하이브리드 면진장치의 동적거동을 매우 정확하게 예측할 수 있었다.

• 대한전기학회논문지:전력기술부문A
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• 제54권10호
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• pp.467-474
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• 2005

This paper presents a systematic method to compute a reliability measure for a short term electrical load forecasting system using neuro-fuzzy models. It has been realized that the reliability computation is essential for a load forecasting system to be applied practically. The proposed method employs a local reliability measure in order to exploit the local representation characteristic of the neuro-fuzzy models. It, hence, estimates the reliability of each fuzzy rule learned. The design procedure of the proposed short term load forecasting system is as follows: (1) construct initial structures of neuro-fuzzy models, (2) store them in the initial structure bank, (3) train the neuro-fuzzy model using an appropriate initial structure, and (4) compute load prediction and its reliability. In order to demonstrate the viability of the proposed method, we develop an one hour ahead load forecasting system by using the real load data collected during 1996 and 1997 at KEPCO. Simulation results suggest that the proposed scheme extends the applicability of the load forecasting system with the reliably computed reliability measure.

• 전자공학회논문지SC
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• 제38권5호
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• pp.14-22
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• 2001

본 논문에서는 비선형 다변수 시스템의 신경망 식별과 신경망제어기 설계방법을 제안한다. 신경망제어기는 독립된 여러 개의 선형제어기와 하나의 신경회로망으로 구서오디며, 신경회로망은 간접 제어방식에 의해 학습된다. 제안한 제어방식을 IBM 컴퓨터 상에 구현하고 물체를 공유한 막대부하 시스템의 속도제어에 적용한다. 신경회로망의 식별능력과 제안한 제어기의 성능을 실험결과로서 살펴보고 기존의 선형제어기와 비교함으로서 제안한 제어기의 우수함을 확인한다.

• Journal of Advanced Marine Engineering and Technology
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• 제28권2호
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• pp.228-236
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• 2004

In this paper. we present a neuro-fuzzy controller which unifies both fuzzy logic and multi-layered feed forward neural networks. Fuzzy logic provides a means for converting linguistic control knowledge into control actions. On the other hand. feed forward neural networks provide salient features. such as learning and parallelism. In the proposed neuro-fuzzy controller. the parameters of membership functions in the antecedent part of fuzzy inference rules are identified by using the error back propagation algorithm as a learning rule. while the coefficients of the linear combination of input variables in the consequent part are determined by using the least square estimation method. Finally. the effectiveness of the proposed controller is verified through computer simulation for an inverted pole system.

• 한국공작기계학회논문집
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• 제10권2호
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• pp.38-47
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• 2001

In this paper, a new scheme of adaptive-neuro control system is presented to implement real-time control of robot manipulator using Digital Signal Processors. Digital signal processors, DSPs, are micro-processors that are particularly developed for fast numerical computations involving sums and products of measured variables, thus it can be programmed and executed through DSPs. In addition, DSPs are as fast in computation as most 32-bit micro-processors and yet at a fraction of therir prices. These features make DSPs a viable computational tool in digital implementation of sophisticated controllers. Unlike the well-established theory for the adaptive control of linear systems, there exists relatively little general theory for the adaptive control of nonlinear systems. Adaptive control technique is essential for providing a stable and robust perfor-mance for application of robot control. The proposed neuro control algorithm is one of learning a model based error back-propagation scheme using Lyapunov stability analysis method.The proposed adaptive-neuro control scheme is illustrated to be a efficient control scheme for the implementation of real-time control of robot system by the simulation and experi-ment.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권5호
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• pp.285-290
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• 2005

The state observer is being used widely because it has the advantage of the guarantee of reliability on financial problem, over heating, and physical shock. However, an Luenberger observer and a Sliding observer have such problems that an experimenter needs to know dynamics and parameters of the system. And also, the high gain observer has such a problem that it has transient state at the beginning of the observation. In this paper, the Neuro observer is proposed to improve these problems. The proposed Neuro observer complement a problem that occur from increase of gain of High-gain observer in proportion to the square number of observable state variables. And also, the proposed Neuro observer can tune the gain obtained by differentiating observational error at transient state automatically by using the backpropagation training method to stabilize the observational speed. To prove a performance of the proposed observer, it is simulated that the comparison between the state estimate performance of the proposed observer and that of Sliding, High gain observer is made by using a sinusoidal input to the observer which consists of four layers in stable 2nd order system.

• The Korean Journal of Pain
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• 제9권1호
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• pp.215-218
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• 1996

Frostbite involves freezing of tissues and usually affects the distal aspects of the extremities or exposed parts of the face. such as the ears, nose, chin, and cheeks. It produces tissue injury by ice crystal formation between the cells, cellular dehydration, and microvascular occulsion. There are four degrees of frostbite. First degree is accompanied by erythema and edema; second degree, by vesiculation, blistering, and eschar formation; third degree, by hemorrhagic blistering and bluish gray discoloration; and fourth degree, by injury to subcutaneous tissue, muscle, tendon, and bone leading to mottled, dry, black, and necrotic changes. We successfully treated 2 patients suffering from frostbite by performing sympathetic ganglion block with pure alcohol. We concluded sympathetic ganglion block is one of the most effective treatments for frostbite.

• The Korean Journal of Pain
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• 제8권1호
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• pp.78-81
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• 1995

We evaluated the effects of the stellate ganglion block(SGB) on the palmar hyperhidrosis. Ten patients of the palmar hyperhidrosis were taken right and left SGBs, 15 times on each side, total of 30 times, with 1% mepivacaine HCl 5 ml, with no discrimination on sex and age. Although there was a little decrease in the frequency of perspirations on 2 patients after the 15th block, no difference was noted after the overall 30th block at them. None of all 10 patients was satisfied symptomatically and no evidence of decreasing perspiration was found. Conclusively it seems that SGB with 1% mepivacaine HCl 5 ml is not an adequate therapy on the palmar hyperhidrosis even though it diminishes perspiration transiently.

• 동의생리병리학회지
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• 제20권4호
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• pp.936-941
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• 2006

To prevent human body injury from oxidative stress, antioxidants are very important and many research about antioxidants are generally being conducted. Hydrogen peroxide$(H_20_2)$ that is one of vitality oxygen species has been seen that cause various diseases, DNA damage and gene change. We have already known that the inhibition effect of Zizania latifolia Radix, Rhizoma on apoptosis induced by $H_2O_2$ in Neuro2A cell. And the purpose of this study was that we made a comparative study on the inhibition effect of apoptosis in Neuro2A cell on the region of Zizania latifolia(Radix, Rhizoma, Herba). Neuro2A cells were cultivated in RPMI(GibcoBRL) with 5% FBS and treated with $H_2O_2$ and Zizania latifolia(Radix, Rhizoma, Herba). Separately we measured the cell viability and analyzed DNA fragmentation. Activity of PARP, Cytochrome C, caspase-9, caspase-3, p53, p21, Bax and Bcl-2 in the cell was examined by using western blot. The results obtained were as Follows: The cell viability in all of Zizania latifolia (Radix, Rhizoma, Herba) treatment (60ug/m1<) decreased significantly compared with that of none treatment(p<0.001). Zizania latifolia Radix increased cell viability was most effective of three regions. But we had no significant difference among three regions. All of Zizania latifolia (Radix, Rhizoma, Herba) increased cell viability about twice as much as that being injury by $H_2O_2$,(Zizania Latifolia (Radix, nhizoma, Herba) 20ug/m1, $H_2O_2$ 200uM, p<0.001). DNA fragmentation developed by $H_2O_2$, but was not developed in all of Zizania latifolia (Radix, Rhizoma, Herba) treatment. PARP, Cytochrome C, caspase-9 and caspase-3 activated all by $H_2O_2$ but were not activated in all of Zizania latifolia (Radix, Rhizoma, Herba) treatment. P53, P2l and Bax activated by $H_2O_2$, and Bcl-2 got into inactivation. But the opposite results appeared in all of Zizania latifolia (Radix, Rhizoma, Herba) treatment. In conclusion, these results suggest that all of Zizania latifolia (Radix, Rhizoma, Herba) inhibit the development of DNA fragmentation and apoptosis by $H_2O_2$and the antioridant action of all of Zizania latifolia (Radix, Rhizoma, Herba) is effective.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권2호
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• pp.48-54
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• 2002

In this study, a neuro-fuzzy controller which has the characteristic of fuzzy control and artificial neural network is designed. A fuzzy rule to be applied is automatically selected by the allocated neurons. The neurons correspond to fuzzy rules are created by an expert. To adapt the more precise model is implemented by error back-propagation learning algorithm to adjust the link-weight of fuzzy membership function in the neuro-fuzzy controller. The more classified fuzzy rule is used to include the property of dual mode method. In order to verify the effectiveness of the proposed algorithm designed above, an operating characteristic of a DC servo motor with variable load is investigated.