• 한국컴퓨터정보학회논문지
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• 제13권5호
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• pp.53-67
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• 2008

현재 유사 도메인에 대한 feature 모델과 class 모델간의 재사용을 위해, 모델 차원에서 상호변환 연구와 두 모델간 온톨로지를 이용한 변환 연구가 있으나, 메타모델을 통한 일관성 있는 변환이 되지 못하며, 각 모델이 가진 변환 대상 모델링 요소가 충분치 않고, 특히, 자동 변환 알고리즘 및 지원 툴을 제공하지 않음으로써 모델간 재사용의 저하를 초래하고 있다. 본 논문에서는 메타모델 상에서 온톨로지를 사용한 feature 모델을 class 모델로의 변환 방법을 제시한다. 이를 위해, feature 모델, class 모델 및 온톨로지에 대한 메타모델을 재정의하고, 각 메타모델별 모델링 요소에 대한 속성을 정의한다. 이 속성들에 기반하여 feature 모델과 온톨로지 간 그리고 온톨로지와 class 모델간의 변환 규칙 프로파일을 집합 이론과 명제논리로 정의한다. 이러한 변환의 자동화 구축을 위해 변환 알고리즘을 생성하고, 지원 툴을 구현한다. 제시한 변환규칙 및 툴을 사용해 전자 결재시스템을 통해 실제 적용한다. 기대효과로써, 기 구축된 feature 모델을 class모델로 변환하여 상이한 개발방법간에 생성된 모델을 재사용을 할 수 있다. 특히, 온톨로지를 사용해서 의미적 변환의 모호성을 해소시킬 수 있으며, 변환의 자동화 및 모델간 일관성을 유지시켜줄 수 있다.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제16권11호
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• pp.1091-1095
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• 2010

기존의 스마트폰용 소프트웨어 개발은 플랫폼에 종속적으로 만들어 지기 때문에 플랫폼별로 개발해야한다. 애플은 코코아플랫폼, 구글은 안드로이드, 마이크로소프트는 윈도우 모바일 퉁 각 벤더마다 고유의 플랫폼으로 개발한다. 본 논문에서는 한 번의 개발을 통해 이종의 소프트웨어 개발할 수 있도록 모델변환기법을 적용한다. 이 방법은 독립 모델과 종속 모델을 분리하고 이 둘의 차이를 변환언어를 통해 자동 변환하는 기법이다. 모델 변환 기법 수행을 위해서는 모델, 메타모델, 모델변환언어가 요구된다. 본 논문에서는 스마트폰에 적용하기 위해서 모델은 UML, 메타모델은 UML 메타모델, 모델변환언어는 ATL을 사용하였다. 적용사례로 윈도우 모바일 플랫폼환경에서 모델변환을 이용하여 개발하는 방법을 보여준다. 본 논문의 플랫폼 독립모델을 사용하고 모델 변환 규칙을 재정의 하면 아이폰, 안드로이드 등의 이종의 플랫폼으로 변환이 가능하다.

• Journal of Welding and Joining
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• 제28권3호
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• pp.104-113
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• 2010

In this study, to predict the microstructure in weld HAZ of low alloyed steel, prediction model for the phase transformation considering the influence of prior austenite grain size and cooling rate was developed. For this study, six low alloyed steels were designed and the effect of alloying elements was also investigated. In order to develop the prediction model for ferrite transformation, isothermal ferrite transformation behaviors were analyzed by dilatometer system and 'Avrami equation' which was modified to consider the effect of prior austenite grain size. After that, model for ferrite phase transformation during continuous cooling was proposed based on the isothermal ferrite transformation model through applying the 'Additivity rule'. Also, start temperatures of ferrite transformation were predicted by $A_{r3}$ considering the cooling rate. CCT diagram was calculated through this model, these results were in good agreement with the experimental results. After ferrite transformation, bainite transformation was predicted using Esaka model which corresponded most closely to the experimental results among various models. The start temperatures of bainite transformation were determined using K. J. Lee model. Phase fraction of martensite was obtained according to phase fractions of ferrite and bainite.

• 한국소성가공학회:학술대회논문집
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• 한국소성가공학회 2009년도 춘계학술대회 논문집
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• pp.318-321
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• 2009

Transformation plasticity is that when a phase transformation of ferrous or non-ferrous alloys progresses even under an extremely small applied stress compared with a yield stress of the material, a permanent deformation occurs. One of widely accepted description for the transformation was proposed by Greenwood and Johnson [1]. Their description is based on an assumption that a weaker phase of an ideal plastic material could deform plastically to accommodate the externally applied stress and the internal stress caused by the volumetric change accompanying the phase transformation. In this study, an implicit finite element model was developed to simulate the deformation behavior of a low carbon steel during phase transformation. The finite element model was coupled with a phase field model, which could simulate the kinetics for ferrite to austenite transformation of the steel. The thermo-elasto-plastic constitutive equation for each phase was adopted to confirm the weaker phase yielding, which was proposed by Greenwood and Johnson [1]. From the simulation, the origin of the transformation plasticity was quantitatively discussed comparing with the other descriptions of it.

• Asia pacific journal of information systems
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• 제15권2호
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• pp.219-239
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• 2005

Recently, e-transformation has appeared as one of the important issues on which academic and industrial worlds focus in order to bring organizational transformation to a company that wants to adapt itself to the rapidly changing business environment. Therefore this thesis aims to develop a new model(a model whose evaluation criteria were based on 3 dimensions, 9 factors, and 30 indices was derived) to evaluate the level of e-transformation that enables firms to check out and predict the e-transformation progress. The present study seems to be the first trial to evaluate the status of e-transformation processes of the firm empirically, especially by integrating the many indices that have not been examined empirically before. We expect that the results from this research will help corporate e-business strategy planners to devise and analyze the e-transformation strategies effectively by recognizing the companies' current situation in comparison with their previous and other firms' level, respectively.

• 한국인터넷방송통신학회논문지
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• 제16권6호
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• pp.305-310
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• 2016

오늘날 데이터를 표현하고 교환하는 표준 언어로 XML을 사용하고 있다. XML의 개념적 모델을 정의하기 위해서는 XML이 가지는 다양한 요소들을 다이어그램으로 표현하는 표현 규칙과 생성된 다이어그램을 논리적 모델인 XML로 변환하는 변환 알고리즘을 정의해야 한다. 본 논문은 XML의 개념적 모델로부터 논리적 모델을 생성하기 위한 변환 기법을 제안한다. 본 논문에서 사용하는 개념적 모델로는 CMXML을 이용하고, 논리적 모델로 XML 스키마를 생성한다. 이를 위해 다이어그램으로 표현되는 CMXML을 정의하고, 이 다이어그램으로부터 XML 스키마를 생성하기 위한 자료구조를 정의하고 생성규칙을 정의하고, 변환 알고리즘을 제시한다.

• Journal of Information Science Theory and Practice
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• 제11권1호
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• pp.31-48
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• 2023

Digital service transformation study is a part of research in the field of digital transformation, which is devoted to exploring the transformations that occur in digital service products, which have been intensely explored in recent years to address digital disruption. Several concepts and definitions of digital service transformation have emerged as a result of an approach from the point of view of digital transformation and digital services concepts. This paper is organized to provide a foundational understanding of digital service transformation terminology. This paper uses the systematic literature review method to compile 52 qualified articles from previous studies. We conduct an analysis and synthesis of articles to answer research questions. The results of this study are a descriptive summary of research in the digital service transformation field, determining digital service transformation terminology and components, and also a proposed digital service transformation model to explain the position of transformation in digital service products in the overall transformation process. We construct this model using the findings of previously determined components synthesis.

• Korean Journal of Geomatics
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• 제4권1호
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• pp.31-37
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• 2004

The aim of this research is comparing the existing approximation models (e.g. Affine Transformation and Direct Linear Transformation) with Rational Function Model as a substitute of rigorous sensor model of linear array scanner, especially push-broom sensor. To do so, this research investigates the mathematical model of each approximation method. This is followed by the assessments of accuracy of transformation from object space to image space by using simulated data generated by collinearity equations which incorporate or depict the physical aspects of linear array sensor.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2007년도 학술발표회 논문집
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• pp.1263-1267
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• 2007

A more complete two-dimensional vertical numerical model has been developed to describe the saltwater intrusion in an estuary. The model is based on the previous studies in order to obtain a better accuracy. The non-linear terms of the governing equations are analyzed and the $\sigma$-coordinate system is employed in the vertical direction with full transformation which is recently issued in several studies because numerical errors can be generated during the coordinate transformation of the diffusion term. The advection terms of the governing equations are discretized by an upwind scheme in second-order of accuracy. By employing an explicit scheme for the longitudinal direction and an implicit scheme for the vertical direction, the numerical model is free from the restriction of temporal step size caused by a relatively small grid ratio. In previous researches, some terms induced from the transformation have been intentionally excluded since they are asked the complicate discretization of the numerical model. However, the lack of these terms introduces significant errors during the numerical simulation of scalar transport problems, such as saltwater intrusion and sediment transport in an estuary. The numerical accuracy attributable to the full transformation is verified by comparing results with a previous model in a simply sloped topography. The numerical model is applied to the Han River estuary. Very reasonable agreements for salinity intrusion are observed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권10호
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• pp.4958-4970
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• 2019

As technology advances, the amount of fake news is increasing more and more by various reasons such as political issues and advertisement exaggeration. However, there have been very few research works on fake news detection, especially which uses grammatical transformation on deep neural network. In this paper, we shall present a new Fake News Detection Model, called FAGON(Fake news detection model using Grammatical transformation On deep Neural network) which determines efficiently if the proposition is true or not for the given article by learning grammatical transformation on neural network. Especially, our model focuses the Korean language. It consists of two modules: sentence generator and classification. The former generates multiple sentences which have the same meaning as the proposition, but with different grammar by training the grammatical transformation. The latter classifies the proposition as true or false by training with vectors generated from each sentence of the article and the multiple sentences obtained from the former model respectively. We shall show that our model is designed to detect fake news effectively by exploiting various grammatical transformation and proper classification structure.