• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.201-204
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• 1998

This paper presents a new construction method of candidate controllers using Multi-modal Neural Network(MNN). To improve a control performance of multiple controller, we construct, candidate controllers which consist of MNN. MNN can learn more complicated function than multilayer neural network. MNN consists of preprocessing module and neural network module. The preprocessing module transforms input signals into spectra which are used as input of the following neural network module. We apply the proposed method to multiple control system which controls the cart-pole balancing system and show the effectiveness of the proposed method.

• 한국식품조리과학회지
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• 제24권5호
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• pp.682-690
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• 2008

The principal objective of this study was to develop a standardized recipe for the large-scale production of Salbob and Ogokbob. The recipe was standardized as follows: we collected and recorded the amount of ingredients and production procedures currently being used by cooks in the contracted foodservice management company and hotel-based Korean restaurants. According to the food preferences of Koreans, we selected 2 kinds of rice; Salbob and Ogokbob. We developed a revised recipe and an evaluation form. We conducted a sensory evaluation with 30 panels, using a JAR (just-about-right) scale. We developed a standardized recipe for both kinds of rice. Yield, portion size, temperature, preparation time, equipment, cost, ingredients, weight of ingredients, method, and critical point were all components accounted for in the developed recipe. The factor method and the percentage method were proposed techniques for adjusting the recipe, and a direct measurement table for Salbob and Ogokbob was also devised.

• 한국멀티미디어학회논문지
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• 제21권12호
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• pp.1467-1472
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• 2018

For the problem that the face image of surveillance video cannot be accurately identified due to the low resolution, this paper proposes a low resolution face recognition solution based on convolutional neural network model. Convolutional Neural Networks (CNN) model for multi-scale input The CNN model for multi-scale input is an improvement over the existing "two-step method" in which low-resolution images are up-sampled using a simple bi-cubic interpolation method. Then, the up sampled image and the high-resolution image are mixed as a model training sample. The CNN model learns the common feature space of the high- and low-resolution images, and then measures the feature similarity through the cosine distance. Finally, the recognition result is given. The experiments on the CMU PIE and Extended Yale B datasets show that the accuracy of the model is better than other comparison methods. Compared with the CMDA_BGE algorithm with the highest recognition rate, the accuracy rate is 2.5%~9.9%.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.291-298
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• 2006

A parallelized topology design optimization method is developed on a distributed memory system. The parallelization is based on a domain decomposition method and a boundary communication scheme. For the finite element analysis of structural responses and design sensitivities, the PCG method based on a Krylov iterative scheme is employed. Also a parallelized optimization method of optimality criteria is used to solve large-scale topology optimization problems. Through several numerical examples, the developed method shows efficient and acceptable topology optimization results for the large-scale problems.

• Structural Engineering and Mechanics
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• 제63권6호
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• pp.761-769
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• 2017

Accurately extracting the axle distribution information of a passing vehicle from bridge dynamic responses experiences a key and challenging step in non-pavement bridge weigh-in-motion (BWIM). In this article, the wavelet transformation is adopted and the wavelet coefficient curve is used as a substitute for dynamic response. The driving frequency is introduced and expanded to multi-axle vehicle, and the wavelet coefficient curve on specific scale corresponding to the driving frequency is confirmed to contain obvious axle information. On this basis, an automatic method for axle distribution information identification is proposed. The specific wavelet scale can be obtained through iterative computing, and the false peaks due to bridge vibration can be eliminated through cross-correlation analysis of the wavelet coefficients of two measure points. The integrand function that corresponds to the maximum value of the cross-correlation function is used to identify the peaks caused by axles. A numerical application of the proposed axle information identification method is carried out. Numerical results demonstrate that this method acquires precise axle information from the responses of an axle-insensitive structure (e.g., girder) and decreases the requirement of sensitivity structure of BWIM. Finally, an experimental study on a full-scale simply supported bridge is also conducted to verify the effectiveness of this method.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2010년도 춘계학술대회 논문집
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• pp.664-670
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• 2010

The study on mechanical behavior of the structure at the site includes experimental method and numerical analysis method. Experimental method is categorized into true-scale test and laboratory model test. A laboratory model test is to monitor the failure mechanism with a model simulated similar with a real ground so as to identify the quantitative result, while a true-scale model test is the approach which enables to identify the potential problems that may occur with a simulated construction situation similar with a real site circumstance. Thus this study was intended to carry out the experimental test of non open-cut excavation by pipe roof method which is mostly common in domestic sites. as well as was aimed at identifying the ground behavior occurred during pipe penetration using laboratory model test. Appropriate reduced-scale model was selected, taking into account of domestic geological characteristics and operation characteristics of traditional and high-speed rail trains and the qualitative evaluation of displacement was carried out based on a certain ground loss volume depending on excavation after categorizing trackbed settlement pattern by depth of top soil.

• 소성∙가공
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• 제17권8호
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• pp.627-632
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• 2008

The cross sectional shape of intermediate die is one of important parameters to improve dimensional accuracy of final product in shaped drawing process. Until now, it has been designed by the experience or trial and error of the expert. In this study, the cross sectional shape of intermediate die for spline shape is determined by the electric fields analysis and scale factor method. The result of the electric fields analysis and scale factor method have been compared with that of the expert method. The effects of cross sectional shape on the dimensional accuracy were investigated by using FE-simulation. And then the multi-stage shaped drawing experiments were performed to verify the results of FE-simulation. As a result, the cross sectional shape from the electric fields analysis and scale factor method had the good dimensional accuracy. These two methods can be used for the method to obtain the cross sectional shape of intermediate die in shaped drawing process.

• 한국자기학회지
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• 제17권6호
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• pp.259-264
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• 2007

본 논문에서는 모델 함정에 의해 발생하는 정 자기장 신호 특성을 수학적으로 모델링하는 방법에 대해 기술하고 있다. 특정 위치에 설치된 자기센서들에 의해 계측된 자기장 신호 값들로 부터 특이치 분해(singular value decomposition) 방법을 이용한 등가 자기원 다이폴 모델링 기법을 제안하였으며, 제안된 기법의 타당성은 비자성 자기실험실에서 측정된 자기장 값들과의 비교를 통해 성공적으로 검증되었다. 본 논문에서 제안된 기법은 모델 함정 뿐 만 아니라 실 함정에서의 다양한 심도 변화에 따른 정 자기장 신호 분포 특성 예측 시 직접 활용이 가능하다.

• 여성건강간호학회지
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• 제9권1호
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• pp.70-79
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• 2003

The purpose of this study was to investigate the effects of Aromatherapy, inhalhtion method using Clarysage essential oil on stress in middle-age women. The study design was a one-group pretest-posttest design. The subject were 44 middle-age women with stress in inhalation method of Clarysage essential oil was 2 drops of oil on tissue at 10, 14, 18, before bed for 2 weeks. The study was carried out from August 1 to September 20, 2002. The scale used in the study was the stress scale of Park, Sun Young(1999). The study data was analyzed by frepuency, percent age and t-test using SPSS Win 10.0 program. Result were as follows : 1. The score of physical stress scale was significantly decresed after use of inhalation of Clarysage essential oil. 2. The score of psychological stress scale was significantly decresed after use of inhalation of Clarysage essential oil. In conclusion, the results of this study suggest that inlalation method using Clarysage essential oil is positively supported in stress reduction in middle-aged women.

• Structural Engineering and Mechanics
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• 제12권2호
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• pp.215-230
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• 2001

In this paper, an asymptotic two-scale method is developed for solving vibration problem of long periodic structures. Such eigenmodes appear as a slow modulations of a periodic one. For those, the present method splits the vibration problem into two small problems at each order. The first one is a periodic problem and is posed on a few basic cells. The second is an amplitude equation to be satisfied by the envelope of the eigenmode. In this way, one can avoid the discretisation of the whole structure. Applying the Floquet method, the boundary conditions of the global problem are determined for any order of the asymptotic expansions.