• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.324-326
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• 1999

현대는 빠른 기술의 발달과 제품의 대량 생산에 의한 가격의 인하로 인해 칼라 스캐너, 칼라 모니터와 칼라 프린터 같은 컴퓨터 주변 칼라 장비들이 널리 보급되었다. 뿐만 아니라 이들 장비들의 성능도 날이 갈수록 향상되고 있다. 그러나 이들 장비간의 칼라 재현 기술과 칼라 일치 문제에는 아직도 왜곡 현상이 남아 있어 이를 해결하기 위한 방법이 많이 연구되고 있다. 신경회로망에 의한 방법은 각 칼라 장비들의 특성을 쉽게 모델링 할 수 있을 뿐만 아니라 별도의 참조 테이블을 구성 할 것도 없이 직접 원하는 칼라 값으로의 매핑이 가능하기 때문에 효율적이다. 여기서는 신경회로망의 오차역전파(Error Back Propagation:EBP) 알고리즘을 이용하여 칼라 스캐너와 칼라 프린터의 모델링 구현과 이를 통합한 통합형 모델을 제시하고 나아가 이를 구현하기 위한 방법과 문제점에 대해 알아본다.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.3
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• pp.186-192
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• 1996

A modified learning rule is introduced for the implementation of feedforward artificial neural networks with on-chip learning circuitry using standard analog CMOS technology. Learning rule, is modified form the EBP (error back propagation) rule which is one of the well-known learning rules for the feedforward rtificial neural nets(FANNs). The employed MEBP ( modified EBP) rule is well - suited for the hardware implementation of FANNs with on-chip learning rule. As a ynapse circuit, a four-quadrant vector-product linear multiplier is employed, whose input/output signals are given with voltage units. Two $2{\times}2{\times}1$ FANNs are implemented with the learning circuitry. The implemented FANN circuits have been simulatied with learning test patterns using the PSPICE circuit simulator and their results show correct learning functions.

• Korean Journal of Hydrosciences
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• v.4
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• pp.1-9
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• 1993

It is a major objective for the management and operation of water resources system to forecast streamflows. The applicability of artificial neural network model to hydrologic system is analyzed and the performance is compared by statistical method with observed. Multi-layered perception was used to model rainfall-runoff process at Pyung Chang River Basin in Korea. The neural network model has the function of learning the process which can be trained with the error backpropagation (EBP) algorithm in two phases; (1) learning phase permits to find the best parameters(weight matrix) between input and output. (2) adaptive phase use the EBP algorithm in order to learn from the provided data. The generalization results have been obtained on forecasting the daily and hourly streamflows by assuming them with the structure of ARMA model. The results show validities in applying to hydrologic forecasting system.

• The Korean Journal of Pain
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• v.23 no.1
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• pp.46-50
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• 2010

Spontaneous intracranial hypotension (SIH) is considered to be a very rare disorder. It is characterized by an orthostatic headache that is aggravated with the patient in the upright position and it is relieved by the patient assuming the supine position. SIH is caused by a spontaneous spinal cerebrospinal fluid leakage without the patient having undergone trauma, surgery or dural puncture or having any other significant medical history. An autologous epidural blood patch (EBP) is effective in relieving SIH. We report here on a case of SIH with cerebrospinal fluid leakage at the upper cervical vertebral level and the middle thoracic vertebral level. The points of leakage were identified by radionuclide cisternography, and this patient was successfully managed by injecting an EBP at each level of leakage.

• 기계와재료
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• v.21 no.3
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• pp.62-73
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• 2009

전력기기에서 발생하는 부분방전을 정확히 측정하고 이를 올바르게 해석하는 작업은 신뢰성 있는 진단법을 개발하고 이를 현장에 적용하는데 있어 대단히 중요하다. 측정된 고주파 데이터를 패턴 분석이 가능한 형태로 가공하는 전처리 과정을 수행하고, 가공된 데이터를 패턴인식을 통하여 기존의 각 노이즈 및 부분방전 패턴과 비교하여 실제 측정된 데이터가 어떤 부분방전 패턴인지 판단한다. 패턴 인식 처리 방법으로는 컴퓨터 분야 신경회로망의 BP 알고리즘과 SOM 알고리즘이 널리 사용되고 있으며 본 연구에서는 TF-MAP, PRPDA, EBP 알고리즘을 이용하여 부분방전 패턴인식 기술 개발에 관한 연구를 수행하였다.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.737-741
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• 1994

We show an application of a genetic algorithm to, control systems including neural networks. Genetic algorithms are getting more popular nowadays because of their simplicity and robustness. Genetic algorithms are global search techniques for optimization and many other problems. A feed-forward neural network which is widely used in control applications usually learns by error back propagation algorithm(EBP). But, when there exist certain constraints, EBP can not be applied. We apply a modified genetic algorithm to such a case. We show simulation examples of two cart-pole nonlinear systems: single pole and double pole.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.32B no.6
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• pp.922-931
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• 1995

In this paper, we propose a modified error function to improve the EBP(Error Back-Propagation) algorithm of Multi-Layer Perceptrons. Using the modified error function, the output node of MLP generates a strong error signal in the case that the output node is far from the desired value, and generates a weak error signal in the opposite case. This accelerates the learning speed of EBP algorothm in the initial stage and prevents overspecialization for training patterns in the final stage. The effectiveness of our modification is verified through the simulation of handwritten digit recognition.

• Proceedings of the Korean Society of Toxicology Conference
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• 2003.05a
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• pp.72-72
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• 2003

Induction of glutathione S-transferases is associated with cancer chemoprevention. We reported that PD98059, an MKK1 inhibitor, induces glutathione Stransferase A2 (rGSTA2). This report comparatively examines the role of CCAAT/enhancer binding protein (C/EBP) and Nrf-2 in the induction of rGSTA2 by PD98059. PD98059 at the concentrations effective for the inhibition of MKKI increased the rGSTA2 protein and mRNA levels in H4IIE cells. (omitted)

• Childhood Kidney Diseases
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• v.11 no.2
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• pp.145-151
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• 2007

Hypertonicity (hypernatremia) of extracellular fluid causes water movement out of cells, while hypotonicity(hyponatremia) causes water movement into cells, resulting in cellular shrinkage or cellular swelling, respectively. In most part of the body, the osmolality of extracellular fluid is maintained within narrow range($285-295 mOsm/kgH_2O$) and some deviations from this range are not problematic in most tissue of the body except brain. On the other hand, the osmolality in the human renal medulla fluctuates between 50 and $1,200 mOsm/kgH_2O$ in the process of urine dilution and concentration. The adaptation of renal medullary cells to the wide fluctuations in extracellular tonicity is crucial for the cell survival. This review will summarize the mechanisms of urine concentration and the adaptation of renal medullary cells to the hyper tonicity, which is mediated by TonEBP transcription factor and its target gene products(UT-A1 urea transporter etc.).

• The Korean Journal of Pain
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• v.30 no.2
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• pp.93-97
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• 2017

The sphenopalatine ganglion (SPG) is a parasympathetic ganglion, located in the pterygopalatine fossa. The SPG block has been used for a long time for treating headaches of varying etiologies. For anesthesiologists, treating postdural puncture headaches (PDPH) has always been challenging. The epidural block patch (EBP) was the only option until researchers explored the role of the SPG block as a relatively simple and effective way to treat PDPH. Also, since the existing evidence proving the efficacy of the SPG block in PDPH is scarce, the block cannot be offered to all patients. EBP can be still considered if an SPG block is not able to alleviate pain due to PDPH.