• 한국수학교육학회지시리즈C:초등수학교육
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• 제26권4호
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• pp.349-368
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• 2023

본 연구의 목적은 수학적 모델링 수업에서 학생들이 개념적 지식과 절차적 지식을 연결하는 방안을 탐색하는 것이다. 이에, 초등학생들이 개념적 지식과 절차적 지식을 연결하는 데 어려움을 보이는 학습 내용 중 최대공약수를 선정하고. 개념적 지식과 절차적 지식을 연결하면서 최대공약수 관련 문제를 해결할 수 있도록 수학적 모델링 수업을 설계하여 실행하였다. 분석 결과, 해당 수학적 모델링 수업은 학생들이 개념적 지식과 절차적 지식을 연결하여 문제를 해결하는 데 긍정적인 영향을 미친 것으로 나타났다. 또한 실제 수업 적용을 통해 수학적 모델링 수업에서 개념적 지식과 절차적 지식을 의미 있게 연결하기 위한 교수학습 방안을 도출하였다.

• 한국문헌정보학회지
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• 제33권4호
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• pp.133-156
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• 1999

이 논문의 목적은 개념적인 데이터 모델링이 기존의 정보 검색(IR) 시스템을 어떤 식으로 보다 향상시킬 수 있는지를 보여주는 것이다. 개념적인 데이터베이스 디자인은 1)개체들간의 관계에 기반하여 새로운 지식을 발견해 내는 데이터 마이닝 능력과 2)기존의 개별적으로 분리된 데이터베이스를 하나의 정보검색 시스템 안으로의 결합을 위해 사용된다 (예: ISI 인용, 시소러스, 서지 데이터베이스를 하나의 정보검색 시스템 안에 결집시킴). 더 나아가서, 개념적인 모델링은 수정을 용이하게 하므로, 새로운 이용자의 요구가 가미될 때마다, 개념적인 데이터 모델링에 기반한 정보검색 시스템을 수정하는 것은 기존의 정보검색 시스템 상에서보다 훨씬 수월해질 수 있다. 보다 향상된 개체-관계(Entity-Relationship) 모델이 이 논문에서 다룬 정보검색 데이터의 개념적 스키마를 개발하는데 사용되었다.

• International Journal of Computer Science & Network Security
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• 제21권5호
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• pp.139-150
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• 2021

Object orientation has become the predominant paradigm for conceptual modeling (e.g., UML), where the notions of class and object form the primitive building blocks of thought. Classes act as templates for objects that have attributes and methods (actions). The modeled systems are not even necessarily software systems: They can be human and artificial systems of many different kinds (e.g., teaching and learning systems). The UML class diagram is described as a central component of model-driven software development. It is the most common diagram in object-oriented models and used to model the static design view of a system. Objects both carry data and execute actions. According to some authorities in modeling, a certain degree of difficulty exists in understanding the semantics of these notions in UML class diagrams. Some researchers claim class diagrams have limited use for conceptual analysis and that they are best used for logical design. Performing conceptual analysis should not concern the ways facts are grouped into structures. Whether a fact will end up in the design as an attribute is not a conceptual issue. UML leads to drilling down into physical design details (e.g., private/public attributes, encapsulated operations, and navigating direction of an association). This paper is a venture to further the understanding of object-orientated concepts as exemplified in UML with the aim of developing a broad comprehension of conceptual modeling fundamentals. Thinging machine (TM) modeling is a new modeling language employed in such an undertaking. TM modeling interlaces structure (components) and actionality where actions infiltrate the attributes as much as the classes. Although space limitations affect some aspects of the class diagram, the concluding assessment of this study reveals the class description is a kind of shorthand for a richer sematic TM construct.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1996년도 춘계학술대회 논문집
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• pp.531-535
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• 1996

Computer aided conceptual solution of engineering problems can be effectively implemented by qualitative reasoning based on a physical model. Qualitative reasoning needs modeling paradigm which provides intellignet control of modeling assumptions and robust inferences without quantitative information about the system. We developed reasoning method using new algebra of qualitative mathematics. The method is applied to a conceptual design scheme of anadaptive control system of cutting process. The method identifies differences between proportional and proportional-integral control scheme of cutting process. It is shown that unfeasible investment could be prevented in the early conceptual stage by the qualitative reasoning procedures proposed in this paper.

• 지질공학
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• 제14권2호
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• pp.223-233
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• 2004

도로 및 철도 신설에 따른 터널 굴착으로 지하수가 유출될 경우 지하수 자원 고갈, 농업용수 및 생활용수 부족 및 지표수 유량의 변화 등이 예상된다. 이러한 터널 굴착에 따른 지하수계의 변화를 예측하기 위해 3차원 유한차분 모형인 MODFLOW가 가장 널리 이용되고 있는 추세이다. 지하수 유동 모델링 실무에서 개념모델의 설정은 가장 중요한 요소 중 하나이다. 개념모델을 너무 단순화하였을 경우 모델링 결과로부터 필요한 정보를 얻어낼 수 없는 상황이 발생할 수 있고, 혹은 너무 복잡하게 개념모델을 설정하였을 경우 필요한 현장 자료가 부족할 수 있으며, 수집이 되었더라도 모델을 구동하는데 과다하게 많은 시간과 자원이 소요될 수 있다. 본 연구에서는 터널 굴착에 관한 지하수 모델링을 수행할 경우 개념 모델 설정에 따른 모델링 결과를 비교하여 현실에 보다 적합하고 효율적인 개념모델 구성에 대해 고찰하였다.

• International Journal of Computer Science & Network Security
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• 제21권9호
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• pp.247-260
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• 2021

Data modeling is a process of developing a model to design and develop a data system that supports an organization's various business processes. A conceptual data model represents a technology-independent specification of structure of data to be stored within a database. The model aims to provide richer expressiveness and incorporate a set of semantics to (a) support the design, control, and integrity parts of the data stored in data management structures and (b) coordinate the viewing of connections and ideas on a database. The described structure of the data is often represented in an entity–relationship (ER) model, which was one of the first data-modeling techniques and is likely to continue to be a popular way of characterizing entity classes, attributes, and relationships. This paper attempts to examine the basic ER modeling notions in order to analyze the concepts to which they refer as well as ways to represent them. In such a mission, we apply a new modeling methodology (thinging machine; TM) to ER in terms of its fundamental building constructs, representation entities, relationships, and attributes. The goal of this venture is to further the understanding of data models and enrich their semantics. Three specific contributions to modeling in this context are incorporated: (a) using the TM model's five generic actions to inject processing in the ER structure; (b) relating the single ontological element of TM modeling (i.e., a thing/machine or thimac) to ER entities and relationships; and (c) proposing a high-level integrated, extended ER model that includes structural and time-oriented notions (e.g., events or behavior).

• 한국인터넷방송통신학회논문지
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• 제15권4호
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• pp.231-237
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• 2015

XML은 다양한 언어들을 이용하여 문서의 구조나 형식을 논리적으로 정의하고 있지만, 각각의 언어들은 서로 다른 구조와 문법을 채택하고 있어 실세계의 데이터의 의미나 데이터 사이의 관계를 표현하는 개념적 모델의 도구로 사용하기 어렵다. 본 논문은 XML 스키마 문서를 개념적으로 모델링할 수 있는 기법인 CMXML을 제안한다. CMXML은 XML을 형식으로(formal)으로 정의하고, 형식에 의해 각 요소들을 그래픽으로 표현하는 방법을 제시하고, 본 모델의 타당성을 보여주기 위해 CMXML으로 모델링한 개념적 모델을 논리적 모델인 XML 스키마로 매핑하는 기법을 제시한다.

• Nuclear Engineering and Technology
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• 제34권6호
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• pp.610-618
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• 2002

A study of the conceptual data modeling to realize the decommissioning database on the HRR-1&2 was carried out. In this study, the current state of the abroad decommissioning database was investigated to make a reference of the database. A scope of the construction of decommissioning database has been set up based on user requirements. Then, a theory of the database construction was established and a scheme on the decommissioning information was classified . The facility information, work information, radioactive waste information, and radiological information dealing with the decommissioning database were extracted through interviews with an expert group and also decided upon the system configuration of the decommissioning database. A code which is composed of 17 bit was produced considering the construction, scheme and information. The results of the conceptual data modeling and the classification scheme will be used as basic data to create a prototype design of the decommissioning database.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2004년도 e-Biz World Conference
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• pp.332-335
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• 2004

Issues ·Bottom-up v.s. Top-down Development ＆ Evaluation ·Syntax-Directed v.s. Conceptual Modeling -Reusing and Easy understanding -User friendliness and Concrete Rules ·No Aligned Rules and Guidelines for Developing Document Structures from Conceptual Information Models(omitted)

• 한국정보시스템학회지:정보시스템연구
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• 제18권4호
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• pp.59-86
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• 2009

Data modeling can be regarded as a series of processes to abstract real-world business concerns. The conceptual modeling phase is often regarded as the most difficult stage in the entire modeling process, because quite different conceptual models may be produced even for similar business domains based on users' varying requirements and the data modelers' diverse perceptions of the requirements. This implies that an object considered as an entity in one domain may be considered as an attribute in another, and vice versa. However, many traditional knowledge-based automated database design systems unfortunately fail to construct appropriate Entity-Relationship Diagrams(ERDs) for a given set of requirements due to the rigid assumption that an object should be classified as an entity if it has been classified as an entity in previous applications. In this paper, we propose an alternative automation system which can generate ERDs from business descriptions using association rule mining technique. Our system can be differentiated from the traditional ones in that our system can perform data modeling only based on business description written by domain workers, rather than relying on any kind of knowledge base. Since the proposed system can produce various versions of ERDs from the same business descriptions simultaneously, users can have the opportunity to choose one of the ERDs as being the most appropriate, based on their business environment and requirements. We performed a case study for personnel management in a university to evaluate the practicability of the proposed system This paper summarizes the result of it in the experiment section.