• 한국전자거래학회지
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• 제8권1호
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• pp.85-102
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• 2003

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 relational database. But because XML data have hierarchical structures and relational database can store only flat-structured data, we need to make the conversion rule which changes the hierarchical architecture to 2-dimensional information. Accordingly the modeling methodology for storing each structured information in relational database is needed. In this paper, we introduce a XML modeling methodology to design W3C XML schema using UML and we propose a unified design methodology for relational database schema to store XML data efficiently in relational databases. In the second place, in order to verify objectivity of a unified design methodology. By the way of Ronald Bourret, First we introduce the method of the transformation from XML schema to object model and second we translate object model into relational database schema. Therefore we show the mutual consistency between those consequence, and so can verify a unified design methodology.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2009년도 추계학술대회 논문집
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• pp.279-283
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• 2009

Distributed generation(DG) of combined cooling, heat. and power(CCHP)has been gaining momentum in recent year as efficient, secure alternative for meeting increasing energy demands. This paper presents the energy performance of microturbine CCHP system equipped with an absorption chiller by modelling it in hospital building. The orders of study were as following. 1)The list and schedule of energy consumption equipment in hospital were examined such as heating and cooling machine, light etc. 2) Annual report of energy usage and monitoring data were examined as heating, cooling, DHW, lighting, etc. 3) The weather data in 2007 was used for simulation and was arranged by meteorological office data in Daejeon. 4) Reference simulation model was built by comparison of real energy consumption and simulation result by TRNSYS and ESP-r. The energy consumption pattern of building were analyzed by simulation model and energy reduction rate were calculated over the cogeneration. As a result of this study, power generation efficiency of turbine was about 30% after installing micro gas turbine and lighting energy as well as total electricity consumption can be reduced by 40%. If electricity energy and waste heat in turbine are used, 56% of heating energy and 67% of cooling energy can be reduced respectively, and total system efficiency can be increased up to 70%.

• 한국정보통신학회논문지
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• 제15권12호
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• pp.2582-2589
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• 2011

본 논문에서는 차량 OBD-II 인터페이스를 통해 쉽게 확보할 수 있는 차량 진단 정보로부터 차량의 연료 소모량을 예측하는 방법을 제안하였다. 이를 위해 차량으로부터 제공되는 흡입 공기량(MAF), 단기 연료 보정(STFT), 장기 연료 보정 (LTFT) 값이 연료 소모량과 관계가 있다고 가정하고, 흡입 공기량, 단기 연료 보정, 장기 연료 보정을 입력 변수로 하며, 연료 소모량을 출력으로 구성하였다. 차량 OBD-II 인터페이스를 이용하여 획득한 값과 차량관련 전문업체로부터 지원받은 연료 소모량 값의 관계를 연소 반응식으로 구성하였다. 제안한 방식의 유용성을 확인하기 위해 도심 도로 5 Km를 실제 주행테스트를 수행하였고, 제안한 차량 데이터를 이용한 연료 소모량 예측 알고리즘의 성능을 확인하였다.

• 한국멀티미디어학회논문지
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• 제10권6호
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• pp.754-759
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• 2007

Methodology of ontology building based on Web resources will not only reduce significantly the ontology construction period, but also enhance the quality of the ontology. Remarkable progress has been achieved in this regard, but they encounter similar difficulties, such as the Web data extraction and knowledge acquisition. This paper researches on the characteristics of ontology construction data, including dynamics, largeness, variation and openness and other features, and the fundamental issue of ontology construction - formalized representation method. Then, the key technologies used in and the difficulties with ontology construction are summarized. A software Model-OntoMaker (Ontology Maker) is designed. The model is innovative in two regards: (1) the improvement of generality: the meta learning machine will dynamically pick appropriate ontology learning methodologies for data of different domains, thus optimizing the results; (2) the merged processing of (semi-) structural and non-structural data. In addition, as known to all wetland researchers, information sharing is vital to wetland exploitation and protection, while wetland ontology construction is the basic task for information sharing. OntoMaker constructs the wetland ontologies, and the model in this work can also be referred to other environmental domains.

• Wind and Structures
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• 제25권6호
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• pp.537-549
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• 2017

In this study, the turbulent flow around a bluff body for different wind velocities was investigated numerically by using its two- and three-dimensional models. These models were tested to verify the validity of the simulation by being compared with experimental results which were taken from the literature. Variations of non-dimensional velocities in different positions according to the bluff body height were analysed and illustrated graphically. When the velocity distributions were examined, it was seen that the results of both two- and three-dimensional models agree with the experimental data. It was also seen that the velocities obtained from two-dimensional model matched up with the experimental data from the ground to the top of the bluff body. Particularly, compared to the front part of the bluff body, results of the upper and back part of the bluff body are better. Moreover, after comparing the results from calculations by using different models with experimental data, the effect of multidimensional models on the obtained results have been analysed for different inlet velocities. The calculation results from the two-dimensional (2D) model are in satisfactory agreement with the calculation results of the three-dimensional model (3D) for various flow situations when comparing with the experimental data from the literature even though the 3D model gives better solutions.

• 대한조선학회논문집
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• 제53권1호
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• pp.18-28
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• 2016

In shipbuilding, the scheduling system is susceptible to sudden changes and thus it turns to be difficult to predict the differences between schedule and production records in advance. A computer-based simulation is commonly utilized to overcome the discrepancies occurred in estimating workloads and resulting processing times. The main drawback of this simulation-based solution is its limited applicability because, in most cases, each shipyard requires specific and customized simulation environment. By standardizing the planning data of the midterm scheduling system, as proposed in this paper, the efficiency of the current simulation model can be enhanced. To present an alternative approach, this paper begins with the analysis of the complex planning data structure of several shipyards and then proceeds to construct a standard data structure based on the neutral format. An interface application is developed for the data transaction and simulation in on-line environment. As a result, a simulation-based production management of shipyards can be achieved by the efficient prediction of planning and scheduling.

• 한국도로학회논문집
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• 제19권2호
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• pp.35-44
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• 2017

PURPOSES: This study suggests a specific methodology for the prediction of road surface temperature using vehicular ambient temperature sensors. In addition, four kind of models is developed based on machine learning algorithms. METHODS : Thermal Mapping System is employed to collect road surface and vehicular ambient temperature data on the defined survey route in 2015 and 2016 year, respectively. For modelling, all types of collected temperature data should be classified into response and predictor before applying a machine learning tool such as MATLAB. In this study, collected road surface temperature are considered as response while vehicular ambient temperatures defied as predictor. Through data learning using machine learning tool, models were developed and finally compared predicted and actual temperature based on average absolute error. RESULTS : According to comparison results, model enables to estimate actual road surface temperature variation pattern along the roads very well. Model III is slightly better than the rest of models in terms of estimation performance. CONCLUSIONS : When correlation between response and predictor is high, when plenty of historical data exists, and when a lot of predictors are available, estimation performance of would be much better.

• 대한공간정보학회지
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• 제18권2호
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• pp.119-129
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• 2010

라이다데이터를 이용한 다양한 활용알고리즘이 개발되고 있지만, 대부분의 제안된 알고리즘은 정성적인 검증만이 수행되고 있다. 알고리즘의 객관적이고 정량적인 검증을 위해서는 대상에 대한 참값(true value)을 알아야 하지만, 라이다데이터는 데이터 특성상 참값을 알기 어렵다. 본 연구에서는 모의 라이다데이터는 분할 알고리즘의 성능을 평가할 수 있는 참값을 가지고 있다는 점에 착안하여, 모의 라이다데이터를 이용하여 분할 알고리즘의 성능을 보다 객관적/정량적으로 평가해보고자 하였다. 이를 위해 먼저, 1) 분할 알고리즘의 결과를 객관적으로 가늠할 수 있는 정량적인 평가요소들을 정의하고, 2) 3차원 도시모델을 입력 데이터로 모의 라이다데이터를 생성한 후, 3) 분할알고리즘을 적용하여 객체표면을 나타내는 평면패치를 생성하였다. 마지막으로 4) 성능평가지표를 기준으로 생성된 패치에 대한 분석을 자동화하여 수행하였다.

• 대한공간정보학회지
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• 제16권3호
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• pp.105-110
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• 2008

하천의 수리/수문 모델링에 활용하는 하천 지형자료는 하천정비기본계획을 위한 횡단측량을 통하여 취득된 하천단면 자료를 활용하고 있으나 취득되는 단면간의 거리가 다소 커 모델링 과정 중 보다 조밀한 간격의 단면형상을 필요로 하는 경우에도 단면자료를 취득할 수 없을 뿐만 아니라 관측점간의 직선거리를 고려하는 보간기법들의 특성에 의하여 현실적인 하천의 형상을 반영하지 못하는 문제점이 있다. 본 연구에서는 대표적인 수체부 하천 지형자료라 할 수 있는 하천정비기본계획상의 하천단면자료를 이용하여 하천의 형상을 효율적으로 추정하고자 하였으며 관측된 하천단면자료들 사이의 임의 단면을 생성하는 알고리즘을 제시함으로써 GIS 자료를 이용한 수리/수문 모델링에서 쉽게 활용이 가능하도록 하였다.

• Translational and Clinical Pharmacology
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• 제26권4호
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• pp.155-159
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• 2018

For regulatory approval of a new drug, the most preferred and reliable source of evidence would be randomized controlled trials (RCT). However, a great number of drugs, being developed as well as already marketed and being used, usually lack proper indications for children. It is imperative to develop properly evaluated drugs for children. And expanding the use of already approved drugs for other indications will benefit patients and the society. Nevertheless, to get an approval for expansion of indications, most often with off-label experiences, for drugs that have been approved or for the development of pediatric indications, either during or after completing the main drug development, conducting RCTs may not be the only, if not right, way to take. Extrapolation strategies and modelling & simulation for pediatric drug development are paving the road to the better approval scheme. Making the use of data sources other than RCT such as EHR and claims data in ways that improve the efficiency and validity of the results (e.g., randomized pragmatic trial and randomized registry trial) has been the topic of great interest all around the world. Regulatory authorities should adopt new methodologies for regulatory approval processes to adapt to the changes brought by increasing availability of big and real world data utilizing new tools of technological advancement.