• 한국지반공학회논문집
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• 제32권11호
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• pp.83-96
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• 2016

흙막이 벽체 배후지반의 지표 침하는 인접구조물의 안전성에 많은 영향을 미친다. 그러나 지반굴착에 따른 주변 지반의 침하는 예측하기가 쉽지 않고 굴착면으로부터 이격거리에 따른 침하량을 정량적으로 구하는 것은 더욱 어려운 일이다. 흙막이 벽체의 변형에 의한 지표침하는 수치해석(FEM)이나, 경험적 방법 Peck(1969)등으로 추정하고 있으나 주로 토사층을 대상으로 하고 있다. 본 연구에서는 토사층 하부에 암반층이 위치하는 복합지반을 굴착 할 때 암반층의 깊이와 절리경사에 따른 흙막이 벽체 배후지반의 지표침하를 대형모형실험(규격: $3m{\times}3m{\times}0.5m$)을 수행하여 측정하였다. 모형실험은 축척 1/14.5로 하고 10단계로 굴착을 하였다. 암반층 비율은 35%와 50%로 하였고 암반층의 절리경사를 $0^{\circ}$, $30^{\circ}$, $45^{\circ}$, $60^{\circ}$로 하여 단계굴착하면서 흙막이 벽체 버팀대에 작용하는 토압(Lee 2014)과 흙막이 벽체 배후지반의 지표 침하량을 측정하였다. 암반층비율과 암반층 절리경사가 증가하면 배후지반의 지표침하량도 증가하며 암반층 절리경사 $60^{\circ}$(J60)에서는 수평지반 굴착시에 비해 최대 17배 크게 발생하였다. 흙막이벽체 배후지반에서 최대 지표침하는 경험적 방법과 달리 흙막이 벽체로부터 굴착깊이의 17%~33%만큼 이격된 위치에서 가장 크게 발생하였다. 복합지반의 지표침하는 전반적으로 경험적 추정방법에 의한 지표침하량에 비해 작게 나타났다.

• 터널과지하공간
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• 제4권1호
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• pp.17-23
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• 1994

This study consists of two procedures on back analysis and forward analysis which is a basic tool of the former. For a safe and economical construction of underground structures, it is required to identify the structural parameters and analyze the structural behavior as exactly as possible. In this paper, a boundary element method to analyze the behavior of multi-alyered underground structures is studied, in which body forces and initial stresses are considered. That is, each layer is discritized into subregions using infinite fundamental solutions, and terms of body forces and initial stresses are transformed into boundary integral where the applied direct integral method is used. And the system of equations containing body forces and initial stresses are considered. That is, each layer is discritized into subregions using infinite fundamental solutions, and terms of body forces and initial stresses are transformed into boundary integral where the applied direct integral method is used. And the system of equations containing body forces and initial stresses are composed, then the method to solve unknowns is used with applying compatibility and equilibrium conditions between interfaces. As well, the direct search method is applied in back analysis problems. By Powell's method as a technique to search unknown parameters, assuming displacements calculated from boundary element analysis as in-situ displacements, elastic moduli and initial stresses are presumed. As consequences of this study, the results of boundary element analysis of the behavior of multilayered structure considering body forces and initial stresses are agreed with those of finite element analysis. And results of back analysis of elastic moduli and initial stresses in each layers are agreed with exact values with a little difference. Therefore, it is known that this study can be efficiently applied for analyzing the behavior of underground structures including back analysis problems.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1999년도 춘계종합학술대회
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• pp.370-374
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• 1999

본 논문에서는 역전파 알고리즘과 헵 학습규칙의 장점을 최대한 살려 이용하고, 역전파 알고리즘의 문제점인 지역 최소점에 빠지는 경우와 학습시간이 느린 단점과 헵 학습규칙의 문제점인 학습 패턴의 저장능력이 매우 제한되고 선형적 분리가 되지 않는 복잡한 문제에는 적용할 수 없다는 단점등을 개선하기 위하여 혼합형 학습규칙을 제안한다. 제안하는 학습규칙은 입력층과 은닉층에 흔합형 학습규칙과 은닉층과 출력층에 역전파(Back-Propagation) 학습규칙을 적용한 혼합형이다. 제안한 혼합형 학습규칙을 이용한 신경회로망의 유용성을 확인하기 위하여 단일관절 매니플레이터를 이용하여 추종제어에 대한 시뮬레이션을 하여 기존의 역전파 알고리즘을 이용한 직접적응 제어 방식과 제어성능을 비교 검토한 결과 다음과 같은 특성을 확인하였다.

• 한국의류학회지
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• 제41권5호
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• pp.872-882
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• 2017

There are no specific guidelines on how to control the heat input for the heat generating smart base layer. This study investigated the mode of actuating heat pad attached to the base layer by performing a human wear test in a cold environment. Subjects participating in the test wore T-shirts, jumper and pants on the base layer with heating pads. Skin temperature, total time of heating and the number of switching for the heating mode were observed as the subject controlled the heating mode voluntarily. The comfortable range of skin temperature on the abdomen was larger than on the lower back. The subject felt hot and turned off the switch when the mean skin temperature of the abdomen was $48.8^{\circ}C$ and the lower back was $40.1^{\circ}C$. The total heating time and the number of actuating switching were larger for women than men. The voluntary action of heating for men with high cold sensitivity was significantly different from men with low cold sensitivity. Therefore, it is necessary (depending on gender and cold sensitivity) to set the heating mode differently for the automatic heat control of a future smart base layer.

• 한국재료학회지
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• 제25권1호
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• pp.16-20
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• 2015

In this study, in order to improve the efficiency of n-type monocrystalline solar cells with an Alu-cell structure, we investigate the effect of the amount of Al paste in thin n-type monocrystalline wafers with thicknesses of $120{\mu}m$, $130{\mu}m$, $140{\mu}m$. Formation of the Al doped $p^+$ layer and wafer bowing occurred from the formation process of the Al back electrode was analyzed. Changing the amount of Al paste increased the thickness of the Al doped $p^+$ layer, and sheet resistivity decreased; however, wafer bowing increased due to the thermal expansion coefficient between the Al paste and the c-Si wafer. With the application of $5.34mg/cm^2$ of Al paste, wafer bowing in a thickness of $140{\mu}m$ reached a maximum of 2.9 mm and wafer bowing in a thickness of $120{\mu}m$ reached a maximum of 4 mm. The study's results suggest that when considering uniformity and thickness of an Al doped $p^+$ layer, sheet resistivity, and wafer bowing, the appropriate amount of Al paste for formation of the Al back electrode is $4.72mg/cm^2$ in a wafer with a thickness of $120{\mu}m$.

• Journal of Information Display
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• 제13권2호
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• pp.61-66
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• 2012

The double-layered Ti/Si barrier metal is demonstrated for the source/drain Cu interconnections in oxide semiconductor thin-film transistors (TFTs). The transmission electromicroscopy and ion mass spectroscopy analyses revealed that the double-layered barrier structure suppresses the interfacial reaction and the interdiffusion at the interface after thermal annealing at $350^{\circ}C$. The underlying Si layer was found to be very useful for the etch stopper during wet etching for the Cu/Ti layers. The oxide TFTs with a double-layered Ti/Si barrier metal possess excellent TFT characteristics. It is concluded that the present barrier structure facilitates the back-channel-etch-type TFT process in the mass production line, where the four- or five-mask process is used.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.1628-1630
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• 1997

The purpose of this study is to see the method of the analysis of EEG(Electroencephalography) whcih is a nonlinear system, to quantize human emotion under color stimulation using the analysis of EEG. The result of this study would be used clinical study and development fo image instruments with color. In this study, the method of the analysis of EEG is power spectrum using FFT(Fast Fourier Transform) and the modelling of EEG under color stimulation base on back propagation Neural Networks ond of AI(Artfical Intellignece) skills. First, input layer make a match to relative power which get analyzing s in 4 channels, and output layer make a match to color stimulation which is measured human emotion. Finally, weights of each neurons determine by learing back porpagation Neural Networks.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권7호
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• pp.327-333
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• 2002

In this study, we developed a snoring detection algorithm that detects snores automatically. It consists of preprocessing and snoring detection part. The preprocessing part is composed of a noise removal part using spectrum subtraction, and segmentation part, and computation part of temporal and spectral features. And the snoring detection part decides whether detected blocks are snores with BPNN(Back-Propagation Neural Network). BPNN with one hidden layer and one output layer, is trained with data of 7 subjects and tested with data of 11 subjects of total 18 subjects. The proposed algorithm showed a Sensitivity of 90.41% and a Predictive Positive Value of 84.95%.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.853-858
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• 1993

The error back-propagation(BP) algorithm is widely used for finding optimum weights of multi-layer neural networks. However, the critical drawback of the BP algorithm is its slow convergence of error. The major reason for this slow convergence is the premature saturation which is a phenomenon that the error of a neural network stays almost constant for some period time during learning. An inappropriate selections of initial weights cause each neuron to be trapped in the premature saturation state, which brings in slow convergence speed of the multi-layer neural network. In this paper, to overcome the above problem, Micro-Genetic algorithms(.mu.-GAs) which can allow to find the near-optimal values, are used to select the proper weights and slopes of activation function of neurons. The effectiveness of the proposed algorithms will be demonstrated by some computer simulations of two d.o.f planar robot manipulator.

• 전자공학회논문지B
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• 제32B권6호
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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.