• 한국전자거래학회지
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• 제4권1호
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• pp.37-58
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• 1999

In this paper, we suggest the system analysis method that links IDEF0 and conceptual analysis. Based on the method, we propose the implementation methodology that can be used to build CALS/EC systems in logistics industry. This paper presents data characteristic derived using ICAM DEFinition(IDEF0) and conceptual data modeling. Modeling methodology has been widely used for analysis and design of an enterprise information system. Further IDEF has been considered appropriate for developing functional and database models for the logistics environment.

• 산업공학
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• 제15권1호
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• pp.55-63
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• 2002

This paper utilizes the FIDO methodology (Function, Information, Dynamic, Organization modeling) which is an enterprise modeling tool that can describe inter-organizational interaction (specifically between prime and sub contractors in this experiment). FIDO follows the standard IDEFO rules in order to demonstrate how a cascading information flow can evolve from a customer to a prime to a subcontractor in a concurrent manner, in a supply chain environment. Background on these processes is presented, followed with the newly derived process and methodology. This is presented in a supply chain management context, and results from an actual experiment at Motorola utilizing subcontractors that supply custom machine parts is presented and reviewed.

• 전자공학회논문지CI
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• 제43권6호
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• pp.17-25
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• 2006

전산화 대상 규모가 확대되면서 새로운 방식의 데이터 모델링 방법론이 필요하게 됨에 따라 자료 설계라는 것에 최근 들어 1980년대 초반 못지 않게 이른 바 데이터 거버넌스 혹은 데이터 질 등의 화두의 모습으로 큰 관심이 재연되고 있다. 그러나 데이터 모델링에 대한 확고한 견해를 가지고 있지 못하기 때문에 막상 데이터베이스 설계를 실무적으로 소화해 내기에는 적지 않은 어려움을 겪게 된다 본 논문에서는 업무의 요구 형성/분석 단계부터 데이터베이스 구현까지 최종 단계까지를 체계적인 방법론을 통해 정보시스템의 데이터 모델을 창출하는 정규화 중시의NS방법론을 적용한 설계방법과 기존의 관행에 의해 역정규화를 어쩔 도리 없이 용인하고 마는 정보공학(Information Engineering, 약칭 IE)방법론 기반의 설계방법과 비교한다. 동일한 업무를 대상으로 설계된 데이터 설계 산출물을 기준으로 각종 측면에서 비교해 봄으로써 정규화 중시 기반의 체계적 방법론이 기업의 정보시스템의 성능 향상에 어느 정도 기여하는지를 정량 파악하였다. 비교 실험 결과, 개체 설정의 타당성, 설계의 균형성 지표인 사각고리형 경로 유무, 그리고 속성중복률 면에서 모두 NS방법론적 설계가 우수하였다.

• 한국정보시스템학회지:정보시스템연구
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• 제31권4호
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• pp.25-45
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• 2022

Purpose In this paper, we propose the method to extend topic modeling techniques in order to derive data-based research hypotheses when establishing research hypotheses for social sciences, As a concept in contrast to the existing deductive hypothesis establishment methodology for the social science research, the topic modeling technique was expanded to enable the so-called inductive hypothesis establishment methodology, and an analysis case of the Seongsan Ilchulbong online review based on the proposed methodology was presented. Design/methodology/approach In this paper, an extension architecture and extension algorithm in the form of extending the existing topic modeling were proposed. The extended architecture and algorithm include data processing method based on topic ratio in document, correlation analysis and regression analysis of processed data for topics derived by existing topic modeling. In addition, in this paper, an analysis case of the online review of Seongsan Ilchulbong Peak was presented by applying the extended topic modeling algorithm. An exploratory analysis was performed on the Seongsan Ilchulbong online reviews through the basic text analysis. The data was transformed into 5-point scale to enable correlation and regression analysis based on the topic ratio in each online review. A regression analysis was performed using the derived topics as the independent variable and the review rating as the dependent variable, and hypotheses could be derived based on this, which enable the so-called inductive hypothesis establishment. Findings This paper is meaningful in that it confirmed the possibility of deriving a causal model and setting an inductive hypothesis through an extended analysis of topic modeling.

• 한국CDE학회논문집
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• 제2권4호
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• pp.222-236
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• 1997

Conventional solid or surface modeling systems cannot represent both the complete solid model and the abstract model in a unified framework. Recently, non-manifold modeling systems are proposed to solve this problem. This paper describes FlexDesigner, an open kernel system for modeling non-manifold models. It summarizes the data structure for non-manifold models, system design methodology, system modularization, and the typical characteristics of each module in the system. A data structure based on partial-topological elements is adopted to represent the relationship among topological elements. It is efficient in the usage of memory and has topological completeness compared with other published data structures. It can handle many non-manifold situations such as isolate vertices, dangling edges, dangling faces, a mixed dimensional model, and a cellular model. FlexDesigner is modularized hierarchically and designed by the object-oriented methodology for reusability. FlexDesigner is developed using the C++ and OpenGL on both SGI workstation and IBM PC.

• 한국전자거래학회지
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• 제7권1호
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• pp.129-140
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• 2002

To succeed in ERP construction, the purpose of ERP setup must be completed. To accomplish this end, it is required to analysis business process completely and make a plan in detail. For ERP providers', they must support a characterized ERP construction methodology and lower the construction cost by improving an ERP package by making it easy to customize. But, because imported EHP products that are supplied currently are designed for the standard and the rationality, they have a limit to support custom processes of domestic companies. On the contrary, ERP products by domestic companies are unable to support a consistent methodology of constructing ERP system. This is a main reason why much time and costs are consumed than that of an original plan. For solving the problems, ERP packages should provide a consistent process modeling methodology and a modeling tool which can support this methodology. Furthermore, customizing cost must be lowered by implementing reusable components from the process models. This Paper describes a component-based ERP Package system which has peculiar modeling tools and development tools. We describe the modeling methodology and the business component definition of the ERP system. Finally, we describe its customizing process based on these process designs and business components.

• 한국자동차공학회논문집
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• 제20권6호
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• pp.117-125
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• 2012

This paper describes a model-based software development methodology for AUTOSAR-ready light software architecture(AUTOSAR-Lite). The proposed methodology briefly represents an application software modeling technique using Matlab/Simulink. Using the proposed technique, application software architecture elements (e.g. software components, runnables, and interfaces) and functional behaviors can be designed in a single modeling environment. From the designed model, the codes of application software is automatically generated using Real-Time Workshop Embedded Coder. The generated application software is easily integrated with hand-coded basic software using the proposed method. In order to evaluate the proposed methodology, a diesel engine management system for a passenger car was employed as a case study. Based on the methodology, 8 atomic software components and 52 runnables are successfully developed, and they are evaluated by engine experiments. From this case study, AUTOSAR compatible model-based application software was successfully developed, and the effectiveness of the proposed methodology was evaluated.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.74-83
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• 2011

This paper recognized a need in the architecture, engineering, and construction industry for new programs and methods of producing reliable energy simulations using BIM (Building Information Modeling) technology. Current methods and programs for running energy simulations are not very timely, difficult to understand, and lack high interoperability between the BIM software and energy simulation software. It is necessary to improve on these drawbacks as design decision are often made without the aid of energy modeling leading to the design and construction of non-optimized buildings with respect to energy efficiency. The goal of this research project is to develop a new methodology to produce energy estimates from a BIM model in a more timely fashion and to improve interoperability between the simulation engine and BIM software. In the proposed methodology, the extracted information from a BIM model is compiled into an INP file and run in a popular energy simulation program, DOE-2, on an hourly basis for a desired time period. Case study showed that the application of this methodology could be used to expediently provide energy simulations while at the same time reproducing the BIM in a more readably three dimensional modeling program. With the aid of an easy to run and easily understood energy simulation methodology, designers will be able to make more energy conscious decisions during the design phase and as changes in design requirements arise.

• Wind and Structures
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• 제13권2호
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• pp.191-206
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• 2010

Windborne debris is a major cause of structural damage during severe windstorms and hurricanes owing to its direct impact on building envelopes as well as to the 'chain reaction' failure mechanism it induces by interacting with wind pressure damage. Estimation of debris risk is an important component in evaluating wind damage risk to residential developments. A debris risk model developed by the authors enables one to analytically aggregate damage threats to a building from different types of debris originating from neighboring buildings. This model is extended herein to a general debris risk analysis methodology that is then incorporated into a vulnerability model accounting for the temporal evolution of the interaction between pressure damage and debris damage during storm passage. The current paper (Part I) introduces the debris risk analysis methodology, establishing the mathematical modeling framework. Stochastic models are proposed to estimate the probability distributions of debris trajectory parameters used in the method. It is shown that model statistics can be estimated from available information from wind-tunnel experiments and post-damage surveys. The incorporation of the methodology into vulnerability modeling is described in Part II.

• 한국축산식품학회지
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• 제43권2호
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• pp.374-381
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• 2023

In a previous study, 'response surface methodology (RSM) using a fullest balanced model' was proposed to improve the optimization of food processing when a standard second-order model has a significant lack of fit. However, that methodology can be used when each factor of the experimental design has five levels. In response surface experiments for optimization, not only five-level designs, but also three-level designs are used. Therefore, the present study aimed to improve the optimization of food processing when the experimental factors have three levels through a new approach to RSM. This approach employs three-step modeling based on a second-order model, a balanced higher-order model, and a balanced highest-order model. The dataset from the experimental data in a three-level, two-factor central composite design in a previous research was used to illustrate three-step modeling and the subsequent optimization. The proposed approach to RSM predicted improved results of optimization, which are different from the predicted optimization results in the previous research.