• 에너지공학
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• 제8권4호
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• pp.612-620
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• 1999

환경영향평가는 전과정평가(Life Cycle Assessment : LCA)의 인벤토리 분석과정에서 규명된 환경부하의 값으로 표현하고 상대적인 중용도를 측정하는 단계이다. 이러한 가중치를 측정하므로서 개별제품 또는 기술에 대한 환경부하의 영향을 평가하는데 이용될 수 있다. 본 연구에서는 환경영향평가에 대한 분석에서 환경부하의 상대적인 중요도 혹은 가중치를 산출하기 위하여 일반적으로 이용되는 계층적 의사결정모형(Hierarchical decision model)의 한계인 요인들간의 독립성을 극복할 수 있는 즉, 의사결정요인간 상호영향력을 가지는 네트워크 구조(Network decision model)에서도 사용될 수 있는 의사 결정모형( Analytic Network Process : ANP)을 도입한다. ANP로부터 얻어지는 각 의사결정요인의 가중치는 환경부하의 수준을 결정하는데 용이하게 이용할 수 있다.

• 한국IT서비스학회지
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• 제20권3호
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• pp.87-101
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• 2021

Since the introduction of block chain technology, its potential use in financial service area have been increasing, and financial firms are seeking ways to take advantage of the benefits of it. The purpose of this study is to present an approach to prioritize block chain-based services for bank. Toward this, we picked out potential financial services through focus group interview and derived the criteria that can be used in evaluating the priorities of block chain-based banking services in the same way. Then, we propose an analytic hierarchy process model to help decision makers prioritize the banking services while considering multiple criteria of technology issues, governmental regulations in the financial industry, cost, managerial issues, customers' needs, and the business opportunity for the bank. By using the analytic hierarchy process model, we can estimate the weighting coefficients to be assigned to each criteria and determine the order of priority in determining the best block chain-based service for the case study bank. The results show that banking login authentication would be forefront service, followed by money transfer, document notarization, and trade financing service in the order, and the trade financing could be most important service in terms of the business profitability for the bank in the future.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2007년도 학술대회 1부
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• pp.1037-1044
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• 2007

Metallic paint is one of the most widely used coating in automotive, cosmetic and other applications because of its well-known ability to give a product realistic look which creates widespread consumer appeal. But, this coating has complicated subsurface structure which includes pigments, flakes, and transparent clearcoat. Though various analytic reflection models are available to simulate appearance of various surfaces, it is difficult to select an appropriate reflection model with faithful parameters for simulating this coating due to the complex subsurface structure of metallic paints. This paper presents a framework for accurate modeling of metallic coating by determining an appropriate reflection model among various existing BRDF (Bidirectional Reflectance Distribution Function) models. The selection of the appropriate model is achieved by measuring BRDF of various metallic paint samples using a BRDF measuring device i.e. gonioreflectometer and fitting an existing model to the measured data. Then, this model is effectively realized by rendering metallic painted surfaces. We believe that this framework can serve as a guide for those who wants to render metallic painted surfaces accurately with analytic BRDF model without expending time on extracting BRDF data using gonioreflectometer from real metallic paint sample.

• 대한안전경영과학회지
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• 제13권2호
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• pp.51-59
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• 2011

The objective of this study is to develop an evaluation model for the National highway risky areas. Thus, for the purposes of doing this, National highway risky area evaluated targeting to provide determination ranking and suggesting rival-superiority factors as well as under-inferiority factors in ten National highway risky areas. This study developed for modules of risky areas evaluation, using fuzzy set theory and analytic hierarchy process for evaluation model of National highway risky area in transport environment. The preceding studies assess risk analysis through analysis of causal relationships by National highway safety sector not only handles rating scale development suitable for assessment area by referring to accident frequency model but also geometric structures model. As result of this study, this model of Fuzzy Ahp Risk Analysis (FARA) apply for programmable design in real time processing through easily derive strategy for improvement activities to provide a decision-making effectively. Furthermore, this study contributes frame for improvements of National highway construction for renovation's priority strategy as well as future's policy schemes.

• 한국신뢰성학회지:신뢰성응용연구
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• 제17권4호
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• pp.332-342
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• 2017

Purpose: In this study, the lifetime distribution of a k-out-of-n system with heterogeneous components is suggested as Markov model, and the time-to-failure (TTF) distribution of each component is considered as phase-type distribution (PHD). Furthermore, based on the model, a redundancy allocation problem with a mix of components (RAPMC) is proposed. Methods: The lifetime distribution model for the system is formulated by the structured Markov chain. From the model, the various information on the system lifetime can be ascertained by the matrix-analytic (or-geometric) method. Conclusion: By the generalization of TTF distribution (PHD) and the consideration of heterogeneous components, the lifetime distribution model can delineate many real systems and be exploited for developing system operation policies such as preventive maintenance, warranty. Moreover, the effectiveness of the proposed RAPMC is verified by numerical experiments. That is, under the equivalent design conditions, it presented a system with higher reliability than RAP without component mixing (RAPCM).

• Nuclear Engineering and Technology
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• 제55권6호
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• pp.2305-2314
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• 2023

The governing equations of atmospheric dispersion most often taking the form of a second-order partial differential equation (PDE). Currently, typical computational codes for predicting atmospheric dispersion use the Gaussian plume model that is an analytic solution. A Gaussian model is simple and enables rapid simulations, but it can be difficult to apply to situations with complex model parameters. Recently, a method of solving PDEs using artificial neural networks called physics-informed neural network (PINN) has been proposed. The PINN assumes the latent (hidden) solution of a PDE as an arbitrary neural network model and approximates the solution by optimizing the model. Unlike a Gaussian model, the PINN is intuitive in that it does not require special assumptions and uses the original equation without modifications. In this paper, we describe an approach to atmospheric dispersion modeling using the PINN and show its applicability through simple case studies. The results are compared with analytic and fundamental numerical methods to assess the accuracy and other features. The proposed PINN approximates the solution with reasonable accuracy. Considering that its procedure is divided into training and prediction steps, the PINN also offers the advantage of rapid simulations once the training is over.

• ETRI Journal
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• 제34권6호
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• pp.978-981
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• 2012

We present an analytic solution to the projector pose estimation problem for the pinhole projection model in which the source image is a centered rectangle with an unknown aspect ratio. From a single quadrilateral given as a target image, our solution gives the position and orientation of a projector as well as the aspect ratio of a source image. The proposed method decomposes the problem into two pose estimation problems of coupled line projectors aligned at each diagonal of the given quadrilateral and then computes the common solution that satisfies the relevant geometric constraints. The solution is formulated as simple analytic equations. We also provide a determinant of projectability of an arbitrary quadrilateral.

• 기술경영경제학회:학술대회논문집
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• 기술경영경제학회 2004년도 제24회 동계학술대회 논문집
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• pp.152-166
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• 2004

The importance of maritime sector in Korea has been increasingly recognized in recent days. As the country enters the $\ulcorner$new ocean era$\lrcorner$, the oceans are often regarded as holding the keys to solve the problems of modern industry associated with changing environment as well as changing societies and national politics. This paper attempts to address the national maritime R&D policies and their relative importances. In the methodology, Saaty's analytic hierarchy process model is used to evaluate and rank the selected maritime R&D projects which have a wide range of characteristics and policy implications. The criteria used for policy evaluation relates specifically to the Korea's evaluation needs and culture, and those criteria are weighted according to their relative importance as perceived by the maritime R&D specialists.

• 한국자동차공학회논문집
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• 제7권5호
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• pp.141-153
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• 1999

A finite element procedure for the analysis of rubber-like hyperelastic material is developed. The volumetric incompressiblity conditions of the rubber deformation is included in the formulation by using penalty method. In this paper, the behavior of the rubber deformation is represented by hyperelastic constitutive relations based on a generalized Mooney-Rivlin model. The principle of virtual work is used to derive nonlinear finite element equation for the large displacement problem and presented in total-Lagrangian description. The finite element procedure using analytic differentiation resulted in very close solution to the result of the well known commercial packages NISAII AND ABAQUS. Numerical tests show that the results from the numerical differentiation method coincide very well with those from the analytic method and the well known commercial packages in static analysis. The convergency of rubber usingν iteration method is also discussed.

• 한국기술혁신학회:학술대회논문집
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• 한국기술혁신학회 2001년도 춘계학술대회:발표자료
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• pp.369-385
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• 2001

A R&D project evaluation method has been applied for the national nuclear R&D projects in a developing-country setting. In the methodology, Saaty's analytic hierarchy process model is used to evaluate and rank of the selected nuclear R&D project which have a wide range of objectives and characteristics. The criteria used for evaluation related specifically to the Korea's evaluation needs and culture, and they are weighted according to their relative importance as perceived by the evaluator of the R&D project. As a real-world case of evaluation, we elicited and reproduced the evaluation process of the nuclear R&D projects which is going under the research process. As the results of the paper suggests, the methodology can be applied to the evaluation of the R&D projects and has much potential.