• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.362-365
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• 2011

본 논문에서는 통계적인 방법을 이용하여 점탄성 제진재인 합성고무의 물성에 대한 변동성을 평가하는 방법을 제안하고 측정데이터를 이용하여 합성고무에 대한 평가를 수행하였다. 고무 물성의 불확실성 인자로는 외기 온도의 변화와 실험 데이터의 오차 및 점탄성 제진모델의 오차를 고려하였다. 고무는 분수차 미분 모델로 표현되었고 온도의 영향은 비선형 이동계수모델을 도입하여 복소계수로 나타내어 동강성과 감쇠를 표현하였다. 이러한 물성모델을 바탕으로 고무에 대한 물성 실험데이터와 물성계수의 확률밀도함수 사이에 정의된 우도함수를 최대화하는 통계적 보정방법을 이용하여 물성모델의 물질계수들에 대한 변동성을 추정하였다.

• Journal of the Korean Chemical Society
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• v.53 no.3
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• pp.335-339
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• 2009

Polydimethylsiloxane (PDMS) with methacrylate endgroup is used as contact lens material with elasticity and high oxygen permeability. PDMS prepolymer with methacrylate endgroup was prepared by reacting PDMS (polydimethylsiloxane) with HEMA (2-hydroxyethyl methacrylate). The HEMA-substituted PDMS prepolymer was then copolymerized using AIBN (azobisisobutyronitrile) with BMA (butyl methacrylate; to increase elasticity and flexibility). The water content, oxygen permeability, and visible-ray transmissibility of the resulting polymer were measured to be 23%, 83% and Dk/t > 50, indicating that the copolymer can be used as a good contact lens material.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.11a
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• pp.201-206
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• 2000

In this work transfer function synthesis method based on FRF data of each substructure is investigated for a complex structure composed of many substructures. Though the transfer function synthesis method has superiority to analyze the characteristics of interfaces among substructures effectively, many problems arise in the computation process, especially matrix inversion process. Due to computational problems, the error between the data obtained by test and the predictions through computations is inevitable. So in this paper, computational aspects in the transfer function synthesis method are examined through a steering system problem of passenger car. For the FBS method, frequency response functions of 3 substructures are measured experimentally. Effects of several parameters such as matrix inversion method, connection conditions between substructures and off-diagonal terms on system response are studied numerically.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.119-122
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• 2004

G.723.1은 저 전송률 환경에서 고 음질을 제공하여 주고 있으나 CELP형 부호화기가 갖는 합성에 의한 분석(Analysis by Synthesis)방식의 구조로 인해 많은 처리 시간과 계산량을 요구하게 된다. 본 논문에서는 G.723.1에 대해 NAMDF함수를 적용하여 델타 피치 검색과정의 계산량을 줄여 부호화기의 전체 계산량을 감소시키는 방법을 제안하였다. 기존의 피치 검출 알고리즘에서 피치 검출을 위해 사용하고 있는 자기상관함수는 곱셈 연산에서 발생하는 bit의 dynamic range가 커서 나눗셈 연산에서도 과도한 연산량을 필요로 한다. 따라서, 이러한 계산량의 감소를 위해 기존의 자기상관함수 대신 계산량을 감소하기 위하여 NAMDF 방법을 적용하였고 추가된 skipping 기법을 사용하였다. 계산량 감소율 측면에서는 약 $64\%$의 감소율을 보였고 기존의 방법과 제안한 방법간의 피치 pitch contour은 원음성의 피치 contour와 유사하였고, 음질 평가에서도 기존의 G.723.1 부호화기 합성음과 유사한 길과를 얻을 수 있었다.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.11b
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• pp.140-143
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• 2005

The hybrid CAE/CAT methods are widely applied to product development in various fields because this method can predict the response of the whole system when a part of the system is changed. Especially, the hybrid CAE/CAT method is very useful to predict tile vehicle NVH characteristics after changing some parts of the vehicle. Target parts can be established on the basis of test models and FE models of the prototype constructed in the planning stage of car development. In this study, the topic was focused on the proper test-based FBS application process to predict vehicle NVH characteristic. First, the test-based FBS method was apply to vehicle substructure and car-body. And then the test-based model was replaced with FE model to apply hybrid CAE/CAT method. The replaced FE model was modified through the optimization process. The interior noise in vehicle during the drive was predicted with Modified FE model, then the predicted results were verified by experimenting with actual modified model.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2017.05a
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• pp.310-319
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• 2017

This paper introduces the method how to measure the thrust in impulse facility. In a Facility having such a short duration time of steady flow, there's no time to reach a steady state of the forces acting on model so that the test model vibrates until the end of the flow. The forces exerted on an engine exist with vibration so that the usual force balance can not be used. SWFB(Stress Wave Force Balance) technique is utilized in a shock tunnel to get the thrust. As an example, a model force balance has been calculated its strain against impulse force by using FEM(Finite Element Method). A transfer function between the impulse force and strain has been obtained by the way of de-convolution.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.3
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• pp.521-526
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• 2020

This paper presents an improved HOLP neural network that adds 25 average values to a typical HOLP neural network using 25 feature vector values as input values by applying high-order local autocorrelation function, which is excellent for extracting immutable feature values of iris images. Compared with deep learning structures with different types, we compared the recognition rate of iris recognition using Back-Propagation neural network, which shows excellent performance in voice and image field, and synthetic product neural network that integrates feature extractor and classifier.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.10 no.2
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• pp.291-301
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• 1999

A method for the synthesis of one-dimensional nonlinear distribution function is presented for the desired inverse scattering pattern. This method is based on the inverse transform of the solution of the Riccati equation derived from one-dimensional inverse scattering problem. Since the solution is analogous to the array factor or normalized space factor in collinear array antenna, the synthesis method for field pattern is applied for the construction of the involved line-source nonlinear distribution function. The suggested method is carried out under the optimization process, and is numerically verified by synthesizing the dispersive transmission line profile within the specified frequency band and control of scattered field on resistive strip.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.60-60
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• 2022

본 연구에서는 적설 추정 알고리즘과 추계 일기 생성 모형을 활용하여 관측 적설의 특성을 재현하는 연속 적설심 자료 모의 방법을 소개한다. 적설 추정 알고리즘은 강수 유형 판단, Snow Ratio 추정, 그리고 적설 깊이 감소량 추정까지 총 3단계로 구성된다. 먼저 강수 발생시 지상기온과 상대습도를 지표로 활용하여 강수 유형을 판단하고, 강수가 적설로 판별되었을 때 강수량을 신적설심으로 환산하는 Snow Ratio를 추정한다. Snow Ratio는 지상 기온과의 sigmoid 함수 회귀분석을 통해 추정하였으며, precipitation rate 조건(5 mm/3hr 미만 및 이상)에 따라 두 가지 함수를 적용하였다. 마지막으로 적설 깊이 감소량은 온도 지표 snowmelt 식을 이용하여 추정하였으며, 매개변수는 적설 깊이 및 온도 관측 자료를 활용하여 보정하였다. 속초 관측소 자료를 활용하여 매개변수를 보정 및 검증하여 높은 NSE(보정기간 : 0.8671, 검증기간 : 0.7432)를 달성하였으며, 이 알고리즘을 추계 일기 생성 모형으로 모의한 합성 기상 자료(강수량, 지상기온, 습도)에 적용하여 합성 적설심 시계열을 모의하였다. 모의 자료는 관측 자료의 통계 및 극한값을 매우 정확하게 재현하였으며, 현행 건축구조기준과도 일치하는 것으로 나타났다. 이 모형을 통하여 적설 위험 분석 분야뿐 아니라 기후 전망 자료와의 결합, 미계측 지역에 대한 자료 모의 등에도 광범위하게 활용될 수 있을 것이다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.6
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• pp.861-868
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• 2023

One of the key technologies in providing data analysis in the deep learning while maintaining security is fully homomorphic encryption. Due to constraints in operations on fully homomorphically encrypted data, non-arithmetic functions used in deep learning must be approximated by polynomials. Until now, the degrees of approximation polynomials with composite minimax polynomials have been uniformly set across layers, which poses challenges for effective network designs on fully homomorphic encryption. This study theoretically proves that setting different degrees of approximation polynomials constructed by composite minimax polynomial in each layer does not pose any issues in the inference on convolutional neural networks.