• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2010년도 추계 학술발표회 2차
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• pp.21-31
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• 2010

Although it is important to reflect the accurate information of the ground condition in the tunnel design, the analysis and design are conducted by limited information because it is very difficult to get it practically on considering various geography and geotechnical condition. So construction management of information concept is required to manage immediately on the field condition because it is very time-consuming to establish the countermeasure of underground reinforcement and the pattern change of Bo. Therefore, when construction is on tunnel area, examination of accurate safety and prediction of behavior is performed to overcomes the limit of predicting behavior by using Artificial Neural Network(ANN) in this study. Firstly, the field data was secured. Secondly, suitable structure was made on multi-layer perceptrons among the ANN. Thirdly, learning algorithm-propagated applies to ANN. The data for the learn of field application using ANN was used by considering impact factors, which influenced the behavior of tunnel, and performing credibility analysis. crown displacement, spring displacement, subsurfacement, and rock bolt axial force are predicted at the tunnel construction and on-site application was confirmed by using ANN from analyzing and comparing with measurement value of on-site. In this study, the data from Seoul Highway $\bigcirc\bigcirc$ tunnel section was applied to the ANN Theory, and the analysis on the investigate value and the reasoning for the value associated with field application was performed.

• 한국화재소방학회논문지
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• 제21권4호
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• pp.38-43
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• 2007

최근 우리나라 고층아파트에서 많은 문제가 되고 있는 승강장 부속실의 급기가압 시스템에 있어서 거주자의 피난 시나리오에 따른 차압의 변화 및 연기유동 특성을 FDS 화재모델링을 이용하여 현상학적으로 살펴보았다. 자동차압조절댐퍼의 기준압을 화재실로 할 경우 현관문 누설틈새를 통한 공기의 화재실 유입으로 화재실 및 부속실 모두 절대압이 크게 상승하는 결과를 가져왔으며 피난으로 계단실 방화문이 개방 후에는 다시 닫히지 않아 부속실내의 차압형성이 안 되는 문제점이 예상되었다. 따라서 화재실압이 지속적으로 상승하지 않도록 거실에 별도의 개구부가 필요한 것으로 판단된다. 현관문 개방 후 다시 닫힐 시에는 순간적으로 200 Pa 정도의 높은 과압이 형성되어 이 시간 동안에는 화재실 안의 또 다른 거주자가 현관문을 개방하기는 어려울 것으로 예상되었으며, 현관문만 개방 시에는 적정방연풍속이 유지되었으나, 현관문과 계단실 방화문이 동시에 개방되어 있을 경우에는 적정방연풍속이 생성되지 않아 부속실 및 계단실로의 연기유입이 발생하는 것으로 예측되었다.

• Current Photovoltaic Research
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• 제2권3호
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• pp.95-102
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• 2014

Light trapping techniques can change the propagation direction of incident light and keep the light longer in the absorption layers of solar cells to enhance the power conversion efficiency. In thin film silicon (Si) solar cells, the thickness of absorption layer is generally not enough to absorb entire available photons because of short carrier life time, and light induced degradation effect, which can be compensated by the light trapping techniques. These techniques have been adopted as textured transparent conduction oxide (TCO) layers randomly or periodically textured, intermediate reflection layers of tandem and triple junction, and glass substrates etched by various patterning methods. We reviewed the light trapping techniques for thin film Si solar cells and mainly focused on the commercially available techniques applicable to textured TCO on patterned glass substrates. We described the characterization methods representing the light trapping effects, texturing of TCO and showed the results of multi-scale textured TCO on etched glass substrates. These methods can be used tandem and triple thin film Si solar cells to enhance photo-current and power conversion efficiency of long term stability.

• 한국식품과학회지
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• 제27권4호
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• pp.525-531
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• 1995

제빵 공정 중의 굽기 공정을 대상으로 공정에 이용되는 오븐의 예측 제어를 위해 빵의 부피, 색깔, 빵의 온도 변화를 예측할 수 있는 모형을 개발하였다. 첫째, 모형 개발을 위해 필요한 데이터 획득을 위해 영상 처리 장치, K-type 열전쌍 온도 센서 등을 이용하여, 굽기 공정 중의 물리적 변화를 측정하였다. 빵의 상태 변화는 부피가 먼저 증가하고, 부피 증가가 멈춘 후에 색깔의 변화가 수반되었다. 표면 온도는 초기에 급격히 상승한 후에 완만한 상승으로 전환되었고, 내부 온도는 초기에 어느 정도 일정한 온도를 유지하다가, 중반에 급격한 상승을 나타내고, 이후에 다시 일정하게 유지되었다. 부피, 색과, 품온 간의 상호관계는 비선형적인 관계를 가진 것으로 판명되었다. 둘째, 빵의 부피, 색 변화를 예측하기 위해 MLP구조와 BP학습을 이용하여, 30초, 2분 이후의 부피 및 색 변화를 예측할 수 있는 모형과 부피, 색, 오븐 온도를 입력으로 품은 및 표면 온도를 예측할 수 있는 모형을 개발하였다. 개발된 모형의 예측 오차가 각각 4.62%, 7.38%, 1.09%로, 굽기 공정 중의 빵의 상태를 유의성 있게 예측할 수 있었다.

• 조명전기설비학회논문지
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• 제20권3호
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• pp.53-61
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• 2006

본 논문은 유도전동기 드라이브의 고성능 제어를 위한 적응 퍼지-뉴로 제어기를 제시한다. 이 알고리즘의 설계는 퍼지제어와 신경회로망을 사용하는 퍼지-신경회로망 제어기에 기초한다. 적응 퍼지-뉴로 제어기는 신경회로망의 학습패턴과 같은 퍼지 룰을 사용하고 또한 지령값과 실제값 사이의 오차를 최소화하기 위하여 신경회로망의 뉴런사이의 하중을 역전파 알고리즘 방법을 사용하여 조절한다. 적응 기준 모델 설계는 기준모델의 출력과 전동기 속도 사이의 오차와 오차 변화분을 기초로 한 퍼지 로직에 의하여 실행되는 적응 메카니즘을 제시한다. 적응 퍼지-뉴로 제어기의 제어 성능은 다양한 동작 상태에 대한 분석으로 평가한다. 제안한 제어시스템의 실험 결과는 고성능과 파리미터 변동과 정상상태 정확성, 순시응답의 강인성을 가진다.

• 한국통신학회논문지
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• 제29권10A호
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• pp.1200-1204
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• 2004

가변 광 감쇄기에 사용한 굽힘에 민감한 특수 광섬유 (BSF: bending-sensitive fiber)를 이용하여 굽힘에 따라 물리적인 변화를 감지해 내는 광섬유 센서(FOS: fiber-optic sensor)를 제작하였다. BSF를 이용한 FOS의 제작 가능성을 알아보기 위해 BSF의 굽힘 손실을 3차원 유한차분 빔 전파기법을 이용하여 전산모의 하였고 전산모의 결과를 실제 제작된 BSF를 이용한 FOS의 실험 결과와 비교하였다. 특히 제작된 FOS는 센서 상층부에 가해진 압력이 0 MPa에서 0.005 MPa 로 변할 때 광 에너지는 -1 dB에서 -20 dB 까지 감쇄하였다. 반면에 단일모드 광섬유(SMF: single mode fiber)를 이용하여 동일한 구조로 제작된 FOS는 광 에너지의 변화를 보이지 않았다.

• Smart Structures and Systems
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• 제17권1호
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• pp.91-105
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• 2016

One of the most commonly used techniques to strengthen steel reinforced concrete structures is the application of externally bonded patches in the form of carbon fiber reinforced polymers (CFRP) or recently, textile reinforced cements (TRC). These external patches undertake the tensile stress of bending constraining concrete cracking. Development of full-field inspection methodologies for fracture monitoring are important since the reinforcing layers are not transparent, hindering visual observation of the material condition underneath. In the present study acoustic emission (AE) and digital image correlation (DIC) are applied during four-point bending tests of large beams to follow the damage accumulation. AE helps to determine the onset of fracture as well as the different damage mechanisms through the registered shifts in AE rate, location of active sources and change in waveform parameters. The effect of wave propagation distance, which in large components and in-situ can well mask the original information as emitted by the fracture incidents is also discussed. Simultaneously, crucial information is supplied by DIC concerning the moments of stress release of the patches due to debonding, benchmarking the trends monitored by AE. From the point of view of mechanics, conclusions on the reinforcing contribution of the different repair methodologies are also drawn.

• 전기학회논문지
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• 제61권5호
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• pp.744-752
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• 2012

In this study, the Polynomial-based Radial Basis Function Neural Networks is proposed as an one of the recognition part of overall face recognition system that consists of two parts such as the preprocessing part and recognition part. The design methodology and procedure of the proposed pRBFNNs are presented to obtain the solution to high-dimensional pattern recognition problems. In data preprocessing part, Principal Component Analysis(PCA) which is generally used in face recognition, which is useful to express some classes using reduction, since it is effective to maintain the rate of recognition and to reduce the amount of data at the same time. However, because of there of the whole face image, it can not guarantee the detection rate about the change of viewpoint and whole image. Thus, to compensate for the defects, Linear Discriminant Analysis(LDA) is used to enhance the separation of different classes. In this paper, we combine the PCA&LDA algorithm and design the optimized pRBFNNs for recognition module. The proposed pRBFNNs architecture consists of three functional modules such as the condition part, the conclusion part, and the inference part as fuzzy rules formed in 'If-then' format. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of pRBFNNs is represented as two kinds of polynomials such as constant, and linear. The coefficients of connection weight identified with back-propagation using gradient descent method. The output of the pRBFNNs model is obtained by fuzzy inference method in the inference part of fuzzy rules. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. The proposed pRBFNNs are applied to face image(ex Yale, AT&T) datasets and then demonstrated from the viewpoint of the output performance and recognition rate.

• 한국안전학회지
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• 제28권3호
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• pp.39-43
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• 2013

The present study has been conducted to investigate the fire combustion properties and fire behavior of an IEEE-383 qualified flame retardant cable. The reference reaction rate and reference temperature which are commonly used in pyrolysis model of fire propagation process was obtained by the thermo-gravimetric analysis of the cable component materials. The mass fraction of FR-PVC sheath abruptly decreased near temperature range of $250{\sim}260^{\circ}C$ and its maximum reaction rate was about $2.58{\times}10^{-3}$[1/s]. For the XLPE insulation of the cable, the temperature causing maximum mass fraction change was ranged about $380{\sim}390^{\circ}C$ and it has reached to the maximum reaction rate of $5.10{\times}10^{-3}$[1/s]. The flame retardant cable was burned by a pilot flame meker buner and the burning behavior of the cable was observed during the fire test. Heat release rate of the flame retardant cable was measured by a laboratory scale oxygen consumption calorimeter and the mass loss rate of the cable was calculated by the measured cable mass during the burning test. The representative value of the effective heat of combustion was evaluated by the total released energy integrated by the measured heat release rate and burned mass. This study can contribute to study the electric cable fire and provide the pyrolysis properties for the computational modeling.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2001년도 추계학술대회 논문집
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• pp.386-389
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• 2001

In this study, development of a new LTCC material using non-glassy system was attempted with respect to reducing the fabrication process steps and cost down. Lowering the sintering temperature can be achieved by liquid phase sintering. However, presence of liquid phases usually decrease dielectric properties, especially the quality factor. Therefore, the starting material must have quality factor as high as possible in microwave frequency range. And also, the material should have a low dielectric constant for enhancing the signal propagation speed. Regarding these factors, dielectric constants of various materials were estimated by the Clausius-Mosotti equation. Among them, ZnWO$_4$ was turned out the suitable LTCC material. ZnWO$_4$ can be sintered up to 98% of full density at 105$0^{\circ}C$ for 3 hours. It's measured dielectric constant, quality factor, and temperature coefficient of resonant frequency were 15.5, 74380GHz, and -70ppm/$^{\circ}C$, respectively In order to modify the dielectric properties and densification temperature, B$_2$O$_3$ and V$_2$O$_{5}$ were added to ZnWO$_4$. 40 mol% B$_2$O$_3$ addition reduced the dielectric constant from 15.5 to 12. And the temperature coefficient of resonant frequency was improved from -70 to -7.6ppm/$^{\circ}C$. However, sintering temperature did not change due to either lack of liquid phase or high viscosity of liquid phase. Incorporation of small amount of V$_2$O$_{5}$ in ZnWO$_4$-B$_2$O$_3$ system enhanced liquid phase sintering. 0.lwt% V$_2$O$_{5}$ addition to the 0.6ZnWO$_4$-0.4B$_2$O$_3$ system, reduced the sintering temperature down to 95$0^{\circ}C$ Dielectric constant, quality factor, and temperature coefficient of resonant frequency were 9.5, 16737GHz, and -21.6ppm/$^{\circ}C$ respectively.ively.