• 한국응용과학기술학회지
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• 제25권4호
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• pp.438-445
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• 2008

For recipe prediction of colorant proportion showing nonlinear behavior, we modeled the effects of colorant proportion of basic colors on the target colors and predicted colorant proportion necessary for making target colors. First, colorant proportion of basic colors and color information indicated by the instrument was applied by a linear model and a multi-layer perceptrons model with back-propagation learning method. However, satisfactory results were not obtained because of nonlinear property of colors. Thus, in this study the neuro-fuzzy model with merit of artificial neural networks and fuzzy systems was presented. The proposed model was trained with test data and colorant proportion was predicted. The effectiveness of the proposed model was verified by evaluation of color difference(${\Delta}E$).

• 한국산학기술학회:학술대회논문집
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• 한국산학기술학회 2009년도 춘계학술발표논문집
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• pp.325-328
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• 2009

Recently, as importance of knowledge property right is rising, a patent is being issue. A patent is exclusive rights of knowledge or technique, and it must be registered for approval of rights. Therefore, prediction of patent registration can be important information for company or individuals which gain profit using a patent. In this paper, we proposed a method for prediction of patent registration using text mining and a algorithm for constructing database.

• KCI Concrete Journal
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• 제11권3호
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• pp.99-107
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• 1999

In designing the Prestressed concrete box-girder bridge. dead load, prestressing force, creep and shrinkage of concrete are the main factors which influence the camber and deflection of segmental concrete structure under construction. Among these factors the creep and shrinkage are the functions of the time-dependent property which. therefore, must be considered with time. The prediction model for estimating creep and shrinkage of concrete has been suggested by ACI, CEB/FIP, JSCE and KSCE design code and EMM, AEMM, RCM, IDM and SSM has been suggested for analytical method in consideration of time-dependent characteristics. In this study the creep test was carried out for four different curing ages of concrete which were applied to the Prestressed concrete structure at the construction site, and the results of test were compared with the values of creep prediction proposed by the design code. Also the creep test was performed with step-wise incremental stresses and the results were compared to the analytical values.

• 한국BIM학회 논문집
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• 제8권4호
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• pp.13-22
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• 2018

Future performance prediction of bridges is challenging task for structural engineers. Well-organized information from design, construction and operation stages is essential for the assessment of structures. Digital twin model is a new concept to realize more reliable data platform for management of infrastructures. Damage history including degradation of material, cracking, corrosion, etc. needs to be accumulated in the digital model. The digital model is linked to the analysis model for the assessment of structural performance considering changed mechanical properties of structural components. In this paper, initial definition digital twin model of a PSC-I girder bridge is proposed.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.702-703
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• 2015

Currently, according to the climate change, serious damage by Typhoon has been occurred in the world. In this respect, the research on the damage prediction model to minimize the damage from various natural disaster has been conducted in several developed countries. In the case of U.S, various damage prediction models of buildings from natural disasters have been used widely in many organizations such as insurance companies and governments. In South Korea, although studies regarding damage prediction model of hurricane have been conducted, the scope has been only limited to consider the property of hurricane. However, it is necessary to consider various factors such as socio-economic, physical, geographical, and built environmental factors to predict the damages. Therefore, to address this issue, correlation analysis is conducted between various variables based on the data of hurricane from 2003 to 2012. The findings of this study can be utilized to develop for predicting the damage of hurricane on buildings.

• 소성∙가공
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• 제11권1호
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• pp.24-35
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• 2002

Recent trend and future prospect of flat rolling of steel has been summarized based on the earlier reports. Key technology in the plate rolling is to have ultra fine microstructure having high resistance against crack propagation during application. Heavy accelerated cooling facility and high power rolling mill will be helpful to develope the high toughness steel. Precise modeling of properly prediction based on deformation and transformation imposed on microstructure of steel during processing is highly anticipated. For the hot strip rolling process, new trend is lies on the production of ultra-thin gauged hot strip to substitute cold rolled strip. For the substitution of cold rolled strip into hot rolled strip widely, high formable property of hot strip is highly required. For the formabilit, the ferritic rolling of extra low carbon steel under high lubricated condition is essential. Recently introduced semi-continuous thin slab and rolling mill line is very plausible to develope those kinds of products easily In the view groin facility combination. New idea to modify the existing continuous hot strip mill line to produce the ultra thin-gauged hot strip in an economic way is suggested in this report.

• Composites Research
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• 제24권3호
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• pp.6-11
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• 2011

본 논문은 복잡한 형상으로 드레이핑 성행된 직물 복합재료 구조의 국부적 물성 변화 및 재료거동 예측을 위한 방법을 제시하였다. 제안된 방법을 적용하기 위해 대퇴골 골 간단 부 골절치료용 고정판을 대상으로 선정하였다. 드레이핑 공정 종 발생하는 재료의 거시적/미시적 변형에 의한 국부적 재료물성 변화를 다양한 실험을 통해 검증하고, 그 결과를 복잡한 형상을 가지는 고정판의 정적/피로 거동 예측에 활용하였다. 본 논문은 복잡한 형상을 가지는 복합재료 구조물의 설계 및 성능평가에 유용한 정보와 해석방법을 제시할 것으로 기대된다.

• 소성∙가공
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• 제8권3호
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• pp.283-283
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• 1999

In the present study, the effect of microporosity on the tensile properties of as-cast AZ91D magnesium alloy was investigated through experimental observation and numerical prediction. The test specimens were fabricated by die-casting and gravity-casting. For gravity-casting, the inoculation and use of various metallic moulds were applied to obtain a wide range of microporosity. The deficiency of the interdendritic feeding of the liquid phase acted as d dominant mechanism on the formation of the micropores in the Mg-Al-alloys, rather than the evolution of hydrogen gas. Although tensile strength and elongation has a nonlinear and very intensive dependence upon microporosity, the yield strength appeared to have a linear relationship with microporosity. However, it was possible to quantitatively estimate the linear contribution of microporosity on the individual tensile property far a range of microporosity, which was below about B %. The numerical prediction suggests that the effect of microporosity on fractured strength and elongation decreased as the strain hardening exponent increased. Furthermore. the shape and distribution of micropores may play a more dominant role than local plastic deformation on the tensile behavior of AZ9lD alloy.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2017년도 제48회 춘계학술대회논문집
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• pp.294-296
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• 2017

본 연구에서는 대체 혼합물을 이용하여 케로신의 초임계 조건에서의 열전달 특성을 예측하고 이를 열전달 계산에 적용하는 연구를 수행하였다. 케로신의 열전달 특성은 NIST SUPERTRAPP을 사용하여 대표 물질의 열물성 데이터를 조합함으로써 모사하였다. 본 연구를 통해 획득한 케로신의 열물성 DB는 초속 연소기의 재생 냉각 열교환기의 설계 변수 결정에 사용할 예정이며, 재생냉각 연소기의 연소 시험 결과와 비교를 통해 예측된 열물성 데이터의 타당성을 검증해 나갈 예정이다.

• 한국지능시스템학회논문지
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• 제25권2호
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• pp.191-196
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• 2015

최근 기업의 실적 및 주가를 예측하기 위해 매출액증가율, 부채비율 등의 다양한 예측변수를 활용하여 정량적인 예측방법을 활용하는 연구가 많이 이루어지고 있다. 기업실적 및 주가를 정량적 예측하기 위해 수많은 예측변수들 중에서 모델구축을 위해 중요한 예측변수를 선정하는 것이 중요하다. 대부분의 기존연구들에서는 다양한 알고리즘을 활용하여 예측변수들을 제거하는 방법을 사용하는 경우가 많았다. 이러한 경우 각 예측변수들이 가지는 많은 정보들이 제거되는 문제점이 존재한다. 이러한 문제점을 해결하기 위해 본 연구에서는 예측모델 구축을 위해 예측변수들을 제거하는 대신 각 변수들이 가지고 있는 정보를 병합하여 새로운 변수를 생성하는 대표적인 차원축소 방법인 주성분분석(PCA)을 활용하였다. 본 연구에서는 제안된 예측모델을 미국의 전자, 전기기업의 재무정보를 활용하여 구축하고 예측성능을 실증적으로 분석해 보았다.