• 한국정보과학회논문지:소프트웨어및응용
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• 제26권4호
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• pp.508-520
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• 1999

이 기종 시스템들간의 교환을 목적으로 사용되는 SGML(Standard Generalized Markup Language)문서는 논리적인 구조를 나타내는 구조를 나타내는 DTD(Document Type Definition )가 필요하다. 이러한 SGML DTD을 모델링하기 위해 기존에 여러 가지 방법이 제안되어 왔는데, 본 연구에서는 SGML DTD를 UML (Unified Modeling Language)클래스 다이어그램이 객체 모델로 사상시키는 알고리즘과 데이터 베이스 스키마 형태로 나타내기 위한 형식 모델을 제안한다. 본 연구에서 제안한 사상 규칙들과 알고리즘을 이용하면 SGML DTD을 보다 자연스럽게 객체지향 모델링하므로 데이터베이스 스키마로 변환이 용이하며, 형식모델을 데이터베이스 스키마 형태를 정의하므로 객체지향적인 문서 처리와 검색을 위한 효율적인 환경을 제공하게 된다.

• 한국항공우주학회지
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• 제31권5호
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• pp.25-36
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• 2003

항공기 설계는 설계 전 분야에 걸친 설계 요소들을 모두 고려한 통합적 환경에서 이루어 져야 한다. 이를 위해 각 분야간의 데이터 공유 및 일관성, 무결성, 최신성 등이 요구되며 이러한 요구사항을 만족할 수 있는 효율적인 데이터베이스의 설계가 필요하다. 데이터베이스의 설계 순기는 저장되고 관리해야 할 데이터의 분석, E-R Diagram의 작성, 테이블 사상으로 이루어진다. 본 연구에서는 상용의 Oracle 8i 데이터베이스 관리시스템을 이용하여 데이터베이스를 설계, 구축하였다. MDF(MultiDisplinary Feasible), IDF(Individual Discipline Feasible), CO(Collaborative Optimization) 등의 MDO(Multidisciplinary Design Optimization) 기법을 적용할 수 있는 데이터베이스의 설계과정을 정립하고, 간단한 수치예제와 무인전투기 최적화 설계 등의 예제를 통하여 통합환경에서의 데이터베이스 설계 방법의 타당성을 검증하였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.453-454
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• 2003

Most research materials (data), which are used for the study of digital mapping and digital elevation model (DEM) in the field of Remote Sensing and Aerial Photogrammetry are aerial photographs and satellite images. Additionally, they are also used for National land mapping, National land management, environment management, military purposes, resource exploration and Earth surface analysis etc. Although aerial photographs have high resolution, the data, which they contain, are not used for environment exploration that requires continuous observation because of problems caused by its coastline, as well as single - spectral and long-term periodic image. In addition to this, they are difficult to interpret precisely because Satellite Images are influenced by atmospheric phenomena at the time of photographing, and have by far much lower resolution than existing aerial photographs, while they have a great practical usability because they are mulitispectral images. The PKNU 2 is an aerial photographing system that is made to compensate with the weak points of existing aerial photograph and satellite images. It is able to take pictures of very high resolution using a color digital camera with 6 million pixels and a color infrared camera, and can take perpendicular photographs because PKNU 2 system has equipment that makes the cameras stay level. Moreover, it is very cheap to take pictures by using super light aircraft as a platform. It has much higher resolution than exiting aerial photographs and satellite images because it flies at a low altitude about 800m. The PKNU 2 can obtain multispectral images of visible to near infrared band so that it is good to manage environment and to make a classified diagram of vegetation.

• Journal of Power Electronics
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• 제19권3호
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• pp.655-664
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• 2019

In order to analyze the nonlinear phenomena of the bifurcation and chaos caused by the switching of nonlinear switching devices in inductively coupled power transfer (ICPT) systems, a Jacobian matrix model, based on discrete mapping numerical modeling, is established to judge the system stability of the periodic closed orbit and to study the nonlinear behavior of Hopf bifurcation in a system under full resonance. The general flow of the parameter design, based on the stability principle for ICPT systems, is proposed to avoid the chaos and bifurcation phenomena caused by unreasonable parameter selection. Firstly, based on the state equation of SS-type compensation, a three-dimensional bifurcation diagram with the coupling coefficient as the bifurcation parameter is established with a numerical simulation to observe the nonlinear phenomena in the system. Then Filippov's method based on a Jacobian matrix model is adopted to deduce the boundary of stable operation and to judge the type of the bifurcation in the system. Then the general flow of the parameter design based on the stability principle for ICPT systems is proposed through the above analysis to realize stable operation under the conditions of weak coupling. Finally, an experimental platform is built to confirm the correctness of the numerical simulation and modeling.

• 제어로봇시스템학회논문지
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• 제11권6호
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• pp.558-563
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• 2005

In this paper, we implemented a web-based virtual laboratory system(VLab system) with creative and interactive multimedia contents, which can be used to enhance the quality of education in the area of digital logic circuits. Since the proposed VLab system is implemented to describe the on-campus laboratory, the learners can obtain similar experimental data through it. Also, the VLab system is designed to increase the learning and teaching efficiencies of both the learners and the educators, respectively. The learners will be able to achieve high teaming standard and the educators save their time and labor. The virtual experiments on our VLab system are performed according to the following procedure: (1) Circuit composition on the virtual bread board (2). Applying input voltage (3) Output measurements (4) Checkout of experiment results. Furthermore, the circuit composition on the virtual bread board and its corresponding online schematic diagram are displayed together on the VLab system for the learner's convenience. Finally, we have obtained several affirmative effects such as reducing the total experimental hours and the damage rate for experimental equipments and increasing learning efficiencies as well as faculty productivity.

• 한국주거학회논문집
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• 제27권1호
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• pp.41-50
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• 2016

This study aims to draw the factors of support and restriction as children play in the outdoor space through their participation. The 135 students (fifth- and sixth- graders) participated in the research using the mapping method included the daily diagram and the open-ended questionnaire. As the research results, the park, the school yard, the playground and the rest space were emerged as play spaces with high utilization rate. Through the analysis of play spaces based on children's perception, the physical and social-psychological factors are drawn as the factors of support and restriction. Some physical factors such as the location are relevant to social-psychological factors such as the friend and the danger. In conclusion, the physical factors which support or restrict children's activities have to be considered with the socialpsychological factors. And the result from children's experience and perception should be basis of providing appropriate spaces for children who are actual users of play spaces.

• 한국CDE학회논문집
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• 제19권3호
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• pp.224-235
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• 2014

Recently, Productivity of the construction industry has been decreasing than other industries. Because of this, BIM is being spread in the construction industry. However, quality criteria for BIM data is insufficient. Regulation information is an important factor for initial architectural design evaluations. However, building code and related regulation are numerous. National building code structure in Korea is much more complex than other countries. The purpose of this study is to suggest the typology method of building code and apply to real regulations. To achieve this purpose, the authors have extracted required information to from original regulation for code checking and suggested mapping methods between extracted information and information of IFC scheme. In addition, the authors have represented EXPRESS-G diagram for extracting information from IFC scheme and suggested code checking method through stair case. Output of this study can be used as a base line data for automated code checking system based on open BIM. Automated code checking system will be utilized in architectural design evaluations and supported to increase design quality. It can be used to mount in SEUMTER that is the construction administration system of Ministry of Land, Infrastructure and Transport (MOLIT).

• 전기학회논문지
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• 제62권4호
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• pp.544-553
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• 2013

In this paper, we propose the pattern classifier of Radial Basis Function Neural Networks(RBFNNs) for diagnosis of 3-phase partial discharge. Conventional methods map the partial discharge/noise data on 3-PARD map, and decide whether the partial discharge occurs or not from 3-phase or neutral point. However, it is decided based on his own subjective knowledge of skilled experter. In order to solve these problems, the mapping of data as well as the classification of phases are considered by using the general 3-PARD map and PA method, and the identification of phases occurring partial discharge/noise discharge is done. In the sequel, the type of partial discharge occurring on arbitrary random phase is classified and identified by fuzzy clustering-based polynomial Radial Basis Function Neural Networks(RBFNN) classifier. And by identifying the learning rate, momentum coefficient, and fuzzification coefficient of FCM fuzzy clustering with the aid of PSO algorithm, the RBFNN classifier is optimized. The virtual simulated data and the experimental data acquired from practical field are used for performance estimation of 3-phase partial discharge pattern classifier.

• 디지털콘텐츠학회 논문지
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• 제8권3호
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• pp.269-277
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• 2007

최근에 웹 서비스는 비즈니스 간 e-commerce 응용을 위한 중요한 기술이 되었다. 시장적시성이 요구되는 비즈니스 관점에서, 동적 진화는 예측 불가능하고 자주 변화하는 비즈니스 요구사항에 대응할 수 있는 유연성을 제공한다. OWL-S는 OWL에 기반 한 서비스 온톨로지 언어이다. OWL에 의해 제공되는 의미성은 서비스의 발견, 수행, 조합의 자동화를 제공한다. 본 논문에서는 OWL-S를 이용하여 서비스지향 애플리케이션의 동적 진화를 지원하기 위한 프레임워크를 제안한다. 본 프레임워크에서는 표준 요구사항 분석 방법인 유즈케이스를 확장한 요구사항 개념과 활동도로의 매핑을 정의한다. 그리고 프로토타입을 구현하여 프레임워크의 유효성을 보인다.

• Geomechanics and Engineering
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• 제37권4호
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• pp.395-418
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• 2024

The epicentral region of earthquakes is typically where liquefaction-related damage takes place. To determine the maximum distance, such as maximum epicentral distance (R_e), maximum fault distance (R_f), or maximum hypocentral distance (R_h), at which an earthquake can inflict damage, given its magnitude, this study, using a recently updated global liquefaction database, multiple ML models are built to predict the limiting distances (R_e, R_f, or R_h) required for an earthquake of a given magnitude to cause damage. Four machine learning models LSTM (Long Short-Term Memory), BiLSTM (Bidirectional Long Short-Term Memory), CNN (Convolutional Neural Network), and XGB (Extreme Gradient Boosting) are developed using the Python programming language. All four proposed ML models performed better than empirical models for limiting distance assessment. Among these models, the XGB model outperformed all the models. In order to determine how well the suggested models can predict limiting distances, a number of statistical parameters have been studied. To compare the accuracy of the proposed models, rank analysis, error matrix, and Taylor diagram have been developed. The ML models proposed in this paper are more robust than other current models and may be used to assess the minimal energy of a liquefaction disaster caused by an earthquake or to estimate the maximum distance of a liquefied site provided an earthquake in rapid disaster mapping.