• Journal of the Earthquake Engineering Society of Korea
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• v.9 no.2 s.42
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• pp.7-15
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• 2005

Numerical analysis model is proposed to predict the dynamic behavior of a single-degree-of-freedom structure that is equipped with hybrid base isolation system. Hybrid base isolation system is composed of friction pendulum systems (FPS) and a magnetorheological (MR) damper. A neuro-fuzzy model is used to represent dynamic behavior of the MR damper. Fuzzy model of the MR damper is trained by ANFIS (Adaptive Neuro-Fuzzy Inference System) using various displacement, velocity, and voltage combinations that are obtained from a series of performance tests. Modelling of the FPS is carried out with a nonlinear analytical equation that is derived in this study and neuro-fuzzy training. Fuzzy logic controller is employed to control the command voltage that is sent to MR damper. The dynamic responses of experimental structure subjected to various earthquake excitations are compared with numerically simulated results using neuro-fuzzy modeling method. Numerical simulation using neuro-fuzzy models of the MR damper and FPS predict response of the hybrid base isolation system very well.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.10
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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.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.38 no.5
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• pp.14-22
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• 2001

This paper presents identification and control designs using neural networks for a class of multivariable nonlinear servomechanisms. A proposed neuro-controller is a combination of linear controllers and a neural network, and is trained by indirect neuro-control scheme. The proposed neuro-controller is implemented and tested on an IBM PC-based two 2 bar systems holding an object, and is applicable to many de-motor-driven precision multivariable nonlinear servomechanisms. The ideas, algorithm, and experimental results arc described. Moreover, experimental results are shown to be superior to those of conventional control.

• Journal of Advanced Marine Engineering and Technology
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• v.28 no.2
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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.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.10 no.2
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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.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.5
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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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• v.9 no.1
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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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• v.8 no.1
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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.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.4
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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.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.51 no.2
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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.