• Journal of the Korean Society for information Management
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• v.19 no.2
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• pp.49-67
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• 2002

Nowadays an information exchange on XML such as B2B electronic commerce is spreading. Therefore the systematic and stable management mechanism for storing the exchanged information is needed. For this goal there are many research activities for connection between XML application and database. Accordingly, A unified modeling methodology need to store the XML file on the variety database. In this paper, we propose a unified design methodology for XML applications based on variety databases using UML. To this goal, first we introduce a XML modeling methodology to design W3C XML schema using UML and second we propose data modeling methodology for object-relational database schema, object oriented database an schema and relational database schema to store efficiently XML data in databases.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.423-426
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• 2002

현재 B2B 전자상거래와 같은 XML을 이용한 정보교환이 확산되고 있으며, 이에 따라 상호 교환되는 정보에 대하여 체계적이며 안정적인 저장관리가 요구되고 있다. 이를 위해 XML 응용과 데이터베이스 연계를 위한 다양한 연구가 관계형 데이터베이스를 중심으로 수행되었다. 그러나 계층구조를 갖는 XML 데이터를 2차원 테이블의 집합인 관계형 정보로 표현하는 관계형 데이터베이스로의 저장에는 본질적인 한계가 있으므로, 해결책으로 계층구조를 지원하는 ORDB로의 저장이 요망되고 있다. 따라서 계층구조를 갖는 XML 데이터를 ORDB로 저장하기 위한 모델링 방안이 요구된다. 양질의 어플리케이션 시스템을 구축하기 위해서는 우선적으로 모델링이 중요하다. 1997년에 OJG는 표준 모델링 언어로 UML을 채택하였고 이에 따라 UML은 보다 널리 사용되고 있다. 그러므로 효율적인 XML 어플리케이션을 개발하는데 UML을 기반으로 한, 설계 방법론이 필요하다고 할 수 있다. 본 논문에서는 UML을 이용하여, ORDB 기반의 XML 응용은 위한 통합 설계 방법론을 제안한다. 이를 위하여 먼저 UML을 이용하여 XML DTD글 설계하기 위한 XML 모델링 방안을 제시하고, 아울러 교환되는 XML 데이터를 효율적으로 저장하기 위하여 ORDB 스키마 설계를 위한 데이터 모델링 방법을 제안한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.645-652
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• 2016

The statistical modeling of input random variables is necessary in reliability analysis, reliability-based design optimization, and statistical validation and calibration of analysis models of mechanical systems. In statistical modeling methods, there are the Akaike Information Criterion (AIC), AIC correction (AICc), Bayesian Information Criterion, Maximum Likelihood Estimation (MLE), and Bayesian method. Those methods basically select the best fitted distribution among candidate models by calculating their likelihood function values from a given data set. The number of data or parameters in some methods are considered to identify the distribution types. On the other hand, the engineers in a real field have difficulties in selecting the statistical modeling method to obtain a statistical model of the experimental data because of a lack of knowledge of those methods. In this study, commonly used statistical modeling methods were compared using statistical simulation tests. Their advantages and disadvantages were then analyzed. In the simulation tests, various types of distribution were assumed as populations and the samples were generated randomly from them with different sample sizes. Real engineering data were used to verify each statistical modeling method.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.42-44
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• 2005

데이터 모델링의 객체 지향적인 접근은 변전소 자동화 시스템의 설계 및 구현에 객체의 재활용과 객체 정보의 숨김과 같은 효율성을 제공한다. 변전소 자동화 시스템을 위한 IEC 61850 표준은 이러한 객체 지향 개념에 기반한 데이터 모델링을 IEC 61850 표준문서의 파트 7에서 제시하였다. 표준은 데이터를 교환하는 가장 작은 기능으로써 Logical Node(LN)를 모델링 하였고 본 논문에서는 LN을 비롯한 여러 객체 지향 데이터 모델들을 설명하고 분석하였다.

• Proceedings of the Korea Society for Simulation Conference
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• 2004.05a
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• pp.48-56
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• 2004

최근 모델링 및 시뮬레이션 분야에서는 HLA에서 정의하듯이, 여러 가지 시뮬레이션이 동일한 환경에 참여하여 동시에 상호작용 하는 분산 시뮬레이션을 추구하고 있다. 따라서, 이미 모델링 되어 있는 데이터를 재사용하고 확장할 수 있는 방법이 중요해지고 있다. 미국 국방부에서는 이러한 목적으로 합성 환경의 표현과 교환을 위해 SEDRIS와 같은 표준 개념들을 만들고 있으며, 산업계에서의 모델링 및 시뮬레이션 영역에서도 역시, 호환성과 원가절감의 측면에서 표준의 개념을 도입하기 위한 노력이 진행되고 있다. 본 연구에서는, 상업용 디지털 생산 시뮬레이션 솔루션인 DELMIA에서 사용하는 데이터와, 합성 환경의 표준인 SEDRIS 데이터간의 매핑 방법을 설계하고 구현하였다. 이를 통해, 환경 데이터의 표준 기술인 SEDRIS를 DELMIA와 같은 상업용 디지털 생산 시뮬레이션 데이터를 표현하고 교환하는 표준으로서 활용의 가능성을 검토하였다.

• Journal of Korea Multimedia Society
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• v.15 no.8
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• pp.1059-1066
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• 2012

With the development of Smartphone, Smartphone contains diverse functions including many sensors that can describe users' state. So there has been increased studies rapidly about activity recognition and life pattern recognition with Smartphone sensors. This research suggest modeling of the activity data to classify extracted data in existing activity recognition study. Activity data is divided into two parts: Physical activity and Logical Activity. In this paper, activity data modeling is theoretical analysis. We classified the basic activity(walking, standing, sitting, lying) as physical activity and the other activities including object, target and place as logical activity. After that we suggested a method of visualizing modeling data for users. Our approach will contribute to generalize human's life by modeling activity data. Also it can contribute to visualize user's activity data for existing activity recognition study.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.874-880
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• 2018

3D modeling is extensively used in the field of architecture, machinery and contents production such as movies. Modeling is a time-consuming task. In order to compensate for these drawbacks, attempts have recently been made to reduce the production period by applying 3D scanning technology. 3D scanning for small objects can be done directly with laser or optics, but large buildings and sculptures require expensive equipment, which makes it difficult to acquire data directly. In this study, 3D modeling data for a large object is acquired using photometry with using drones to acquire the image data. The maintenance method for uniform spacing between the sculpture and the drone, the measurement method for the flight line were presented. In addition, we presented a production environment that can utilize the obtained 3D point cloud data for animation and a rendered animation result to find ways to make it in various environments.

• The Journal of Bigdata
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• v.7 no.1
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• pp.99-111
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• 2022

A simulation technique can be used to analyze performance measures and support decision makings in manufacturing systems considering operational uncertainty and complexity. The simulation requires an input modeling procedure to reflect the target system's characteristics. However, data collection to build a simulation is quite limited when a target system includes manual productions with a lot of operational time such as construction equipment assembly lines. This study proposes a procedure for simulation input modeling using video data when it is difficult to collect enough input data to fit a probability distribution. We conducted a video-data analysis and specify input distributions for the simulation. Based on the proposed procedure, simulation experiments were conducted to evaluate key performance measures of the target system. We also expect that the proposed procedure may help simulation-based decision makings when obtaining input data for a simulation modeling is quite challenging.

• Korean Journal of Remote Sensing
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• v.24 no.2
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• pp.141-152
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• 2008

The 3D building modeling is one of crucial components in constructing 3D geospatial information. The existing methods for 3D building modeling depend mainly on manual photogrammetric processes, which indeed take great amount of time and efforts. In recent years, many researches on 3D building modeling using aerial LiDAR data have been actively performed to aim at overcoming the limitations of existing 3D building modeling methods. Either techniques with interpolated grid data or data fusion with digital map and images have been investigated in most of existing researches on 3D building modeling with aerial LiDAR data. The paper proposed a method of 3D building modeling with LiDAR data only. Firstly, octree-based segmentation is applied recursively to LiDAR data classified as buildings in 3D space until there are no more LiDAR points to be segmented. Once octree-based segmentation is completed, each segmented patch is thereafter merged together based on its geometric spatial characteristics. Secondly, building model components are created with merged patches. Finally, a 3D building model is generated and composed with building model components. The experimental results with real LiDAR data showed that the proposed method was capable of modeling various types of 3D buildings.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.7C
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• pp.931-936
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• 2004

GBFCM(DM), Gradient-based Fuzzy c-means with Divergence Measure, for efficient clustering of GPDF(Gaussian Probability Density Function) in MPEG VBR video data modeling is proposed in this paper. The proposed GBFCM(DM) is based on GBFCM( Gradient-based Fuzzy c-means) with the Divergence for its distance measure. In this paper, sets of real-time MPEG VBR Video traffic data are considered. Each of 12 frames MPEG VBR Video data are first transformed to 12-dimensional data for modeling and the transformed 12-dimensional data are Pass through the proposed GBFCM(DM) for classification. The GBFCM(DM) is compared with conventional FCM and GBFCM algorithms. The results show that the GBFCM(DM) gives 5∼15% improvement in False Alarm Rate over conventional algorithms such as FCM and GBFCM.