• 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).

• 한국측량학회:학술대회논문집
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• 한국측량학회 2010년 춘계학술발표회 논문집
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• pp.235-238
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• 2010

Since the mid 1990s airborne LiDAR data have been widely used, automation of building modeling is getting a central issue. LiDAR data processing for building modeling is involved with extracting surface patch elements by segmentation and surface fitting with optimal mathematical functions. In this study, simulation LiDAR data were generated with complex polyhedral roofs of buildings and an automatic modeling approach was proposed.

• 한국CDE학회논문집
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• 제5권4호
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• pp.293-300
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• 2000

The non-manifold geometric modeling technique is to improve design process and to Integrate design, analysis, and manufacturing by handling mixture of wireframe model, surface model, and solid model in a single data structure. For the non-manifold geometric modeling, Euler operators and other high level modeling methods are necessary. Boolean operation is one of the representative modeling method for the non-manifold geometric modeling. This thesis studies Boolean operations of non-manifold model with the data structure of selective storage. The data structure of selective storage is improved non-manifold data structure in that existing non-manifold data structures using ordered topological representation method always store non-manifold information even if edges and vortices are in the manifold situation. To implement Boolean operations for non-manifold model, intersection algorithm for topological cells of three different dimensions, merging and selection algorithm for three dimensional model, and Open Inventor(tm), a 3D toolkit from SGI, are used.

• 한국측량학회지
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• 제35권5호
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• pp.431-438
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• 2017

The information management system for urban planning, urban management and related decision making is increasing an importance in recent years. Especially, the information about 3D buildings in urban area is necessary for urban management related precise location based service. However, it takes a lot of time, effort, and costs to produce 3D modeling data of buildings. These problems have been found in many studies, but the research to solve these problems is still necessary. In this study, we have tested an efficient 3D modeling method of building to solve these problems. SketchUp was used to test 3D modeling methods with OSM(OpenStreetMap) data. The other 3D modeling method using a digital map was tested. The 3D modeling of building data was efficient using PlaceMaker, which can use OSM data. In addition, modeling was possible through simple editing of the digital map and automatic building generation. The efficiency of the research results is presented by comparing with the traditional method based on the regulation and the stadard man power issued by Korean government. These two 3D modeling methods of building tested through the study can be used as basic data for related research and work. Additional studies should be conducted to improve the accuracy of the building model and determine how to obtain height data efficiently.

• International Journal of Advanced Culture Technology
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• 제9권4호
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• pp.345-354
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• 2021

Data quality issue in information systems is analyzed with focus on conceptual data modeling. Extensive investigation through triangulation of case studies is attempted to find how much extent inappropriate data modeling practices exercised in real workplace environment. It is revealed that more than 40 percent of data adversely contributed to unnecessary data redundancy, i.e., the level of data obesity is over 40 percent. Another contribution of this paper lies in excavation of all the categories of inappropriate data modeling practices, which has been previously only partially uncovered in the literature. New findings in this paper prove that the extent of inappropriate modeling is more serious that previously reported.

• 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.

• 한국전자거래학회지
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• 제7권3호
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• pp.139-158
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• 2002

Most of companies related to the area of B2B electronic commerce are making their efforts to innovate their existing business process into new designed process. XML-based electronic data interchange has potential to impact on reshaping the traditional EDI systems. This study intends to suggest a prototype of XML-based electronic data interchange using unified modeling language, with a case study applied in Korean automobile industry. In order to accomplish the research objectives, we employed UML as its standard modeling language, In this study, four diagramming techniques such as use case diagram, sequence diagram, class diagram, component diagram among eight modeling techniques are used for analyzing hierarchical business process. As a result of applying UML methodology, we design and develop XML/EDI applications efficiently. Our field test applied to Korean automobile industry shows that data modeling to design XML application using UML is better than existing methodologies in representing object schema of XML data and in extension and interoperability of systems.

• 조명전기설비학회논문지
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• 제25권12호
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• pp.119-131
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• 2011

To be integrated into the IEC 61970-based K-Grid, application of open communication protocol and sub-system modeling to major nodes is needed. In this paper, a module which links load nodes in customers to CIM based on psXML/oBIX, one of open protocols, was developed and data modeling and communication protocols of IEC 61850-7-42 based DER and ESS which apply the module to the customers who have DER and ESS were designed. Also the XML-based distributed database middleware was designed. The proposed modeling and protocols were applied to the building in which commercial DER products and the effectiveness of the proposed data modeling and the communication protocol were evaluated.

• Environmental Engineering Research
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• 제14권2호
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• pp.102-110
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• 2009

Application of artificial intelligence (AI) approaches in eco-environmental modeling has gradually increased for the last decade. Comprehensive understanding and evaluation on the applicability of this approach to eco-environmental modeling are needed. In this study, we reviewed the previous studies that used AI-techniques in eco-environmental modeling. Decision Tree (DT) and Artificial Neural Network (ANN) were found to be major AI algorithms preferred by researchers in ecological and environmental modeling areas. When the effect of the size of training data on model prediction accuracy was explored using the data from the previous studies, the prediction accuracy and the size of training data showed nonlinear correlation, which was best-described by hyperbolic saturation function among the tested nonlinear functions including power and logarithmic functions. The hyperbolic saturation equations were proposed to be used as a guideline for optimizing the size of training data set, which is critically important in designing the field experiments required for training AI-based eco-environmental modeling.

• 한국CDE학회논문집
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• 제10권5호
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• pp.314-327
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• 2005

This paper describes the volumetric data modeling and analysis methods that employ volumetric NURBS or VNURBS that represents heterogeneous objects or fields in multidimensional space. For volumetric data modeling, we formulate the construction algorithms involving the scattered data approximation and the curvilinear grid data interpolation. And then the computational algorithms are presented for the geometric and mathematical analysis of the volume data set with the VNURBS model. Finally, we apply the modeling and analysis methods to various field applications including grid generation, flow visualization, implicit surface modeling, and image morphing. Those application examples verify the usefulness and extensibility of our VNUBRS representation in the context of volume modeling and analysis.