• 한국환경과학회지
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• 제6권6호
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• pp.645-658
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• 1997

A study on ventilation design using the spreadsheet model is carried out to propose means of available design. A sample of complex ventilation system In the non-standard condition Is used to illustrate thins spreadsheet model. In developing the spreadsheet model, this study has attempted to it general by using computional equations and design parameters that can be readily applied to any spreadsheet software. Also, most design data is contained in the spreadsheet template. This template provides the same design information as the ACGIH worksheet, and operates Quickly and emclenuy, and is fiexible enough to use under different conditions. This spreadsheet model allows the ventilation engineer to design quickly and accurately the ventilation system, without spending too much effort In the design process. By storing on computer and diskette, the design data computed finally can be used as a permanent record of specific ventilation system, and because of finally to be able to design over and over again while making only slight changes to the Input data, the spreadsheet model is used availably to accomplish the design optimazation by redesign and troubleshooting by review from field measurements. Also, the spreadsheet model is available for designing ventilation system under different condition or evaluating existing system or design drawing, because changes In the layout or formulae can be readily made to fit the needs of the designer.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2017년도 추계학술대회
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• pp.115-116
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• 2017

본 논문에서는 이와같은 S-100 범용수로데이터모델(Universal Hydrographic Data Model)로 대별되는 차세대 전자해도가 e-Navigation 서비스 전략 지원은 물론이며 다양한 해양 정보, 서비스에서 발생되는 다양한 요구사항을 수용 할 수 있기 위한 차세대 전자해도 목적 다양성을 지원을 위한 표준화 전략을 제시하고 있다. IMO는 공통 해양 데이터 구조(Common Maritime Data Structure)로 IHO의 차세대 전자해도 표준인 S-100을 활용하고 있는데 이는 e-Navigation 실현을 위한 핵심 요소로 공통 데이터 모델이 필요함을 뜻하는 것으로써 e-Navigation은 해양안전뿐만 아니라, 해양 정보 및 서비스 관점에서도 새로운 ICT 융합 패러다임의 도입이 필요함을 적시하고 있다. 본 논문에서는 IMO는 공통 해양 데이터 구조로 활용되고 있는 S-100 표준의 내용 및 활용 방법을 이해하기 위해 모델 기반 데이터 표현 및 참조 모델에 대해 살펴보고 S-100 표준의 프로파일 기준 표준으로써 활용되었던 ISO/TC211 표준의 구성 및 역할을 살펴봄으로써 목적 다양성을 지원하는 차세대 전자해도 표준화를 위해 요구되는 표준화 항목이 무엇이며 상호간에 어떻게 연관되어 활용되는지 살펴본다.

• 지적과 국토정보
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• 제52권1호
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• pp.37-55
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• 2022

본 연구는 디지털 트윈국토 건물 데이터 품질 표준을 개발하기 위한 품질 항목 모델을 제시하는데 목적이 있다. 이를 위해 3차원 공간정보 오류의 특징과 품질 표준 필요성에 대해 도출하였으며, 디지털 트윈국토 건물 품질 개발에 필요한 데이터 모델 표준과 공간정보 품질 표준에 대해 분석하였다. 이러한 내용을 토대로 디지털 트윈국토 건물 데이터의 품질 평가 범위, 품질 표준 확장 요소(기하 무결성, 기하 충실도, 위치 정확성, 시맨틱 분류 정확성) 및 품질 항목 모델(안)을 제시하였다. 본 연구에서 제안한 디지털 트윈국토 건물 품질 항목모델은 디지털 트윈국토 품질 표준 개발은 물론 이와 관련된 다양한 디지털 트윈국토 공간정보표준 개발에 기여할 것으로 판단된다.

• 한국CDE학회논문집
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• 제6권1호
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• pp.48-58
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• 2001

One of the biggest problems of rapid prototyping(RP) technologies lies in their standard file format for CAD data exchange. Current methods using the de facto industry standard 'STL'have at times resulted in problems such as accuracy, redundancy, and integrity. In this paper we propose a STEP based data exchange framework for rapid prototyping systems. In this paradigm of data exchange, STEP models can be imported and converted into faceted B-rep. solid models for visualization and 2-D layer data for RP. Also an STL model, on the other hand, can be converted into a faceted B-rep. STEP model and exported as a new data exchange model with RP information.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2007년도 춘계학술대회 학술발표 논문집 제17권 제1호
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• pp.201-205
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• 2007

This paper proposes a link model that can provide the spacial position along the surface of the earth as an information or data using ePosition ID through the Internet. Moreover, to support the information service of maritime position, it needs the ENC linked technique based on S-57 that is an IHO transfer standard for digital hydrographic data. Therefore, it designs the linked model for applying and utilizing the ePosition technology with ENC data, as well as supplementing the base technology in applying them to marine related fields. As a study method, this paper first analyses ENC data model and structure, and converses for processing of ENC file to ePosition data. Finally, it derives the interconnection method with ePosition database and shows the ePosition service application based on the linked ENC data and its validity.

• ETRI Journal
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• 제28권2호
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• pp.191-204
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• 2006

Many previous studies of data quality have focused on the realization and evaluation of both data value quality and data service quality. These studies revealed that poor data value quality and poor data service quality were caused by poor data structure. In this study we focus on metadata management, namely, data structure quality and introduce the data quality management maturity model as a preferred maturity model. We empirically show that data quality improves as data management matures.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
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• pp.1365-1371
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• 2008

Based on the data obtained from field investigation and soil testing to slope hazards occurrence section and non-occurrence section in gneiss area, a prediction technique was developed by the use of a decision tree model. The slope hazards data of Seoul and Kyonggi Province were 104 sections in gneiss area. The number of data applied in developing prediction model was 61 sections except a vacant value. The statistical analyses using the decision tree model were applied to the entrophy index. As the results of analyses, a slope angle, a degree of saturation and an elevation were selected as the classification standard. The prediction model of decision tree using entrophy index is most likely accurate. The classification standard of the selected prediction model is composed of the slope angle, the degree of saturation and the elevation from the first choice stage. The classification standard values of the slope angle, the degree of saturation and elevation are $17.9^{\circ}$, 52.1% and 320m, respectively.

• 한국IT서비스학회지
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• 제7권4호
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• pp.231-246
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• 2008

This paper suggests an e-learning system model, a goal-driven personalized e-learning system, which increase the effectiveness of learning. An e-learning system following this model makes the learner choose the learning goal. The learner's choice would lead learning. Therefore, the system enables a personalized adaptive learning, which will raise the effectiveness of learning. Moreover, this paper proposes a SCORM standard, which modifies SCORM 2004 that has been insufficient to implement the "goal driven personalized e-learning system." We add a data model representing the goal that motivates learning, and propose a standard for statistics on learning objects usage. We propose each standard for contents model and sequencing information model which are parts of "goal driven personalized e-learning system." We also propose that manifest file should be added for the standard for contents model, and the file which represents the information of hierarchical structure and general learning paths should be added for the standard for sequencing information model. As a result, the system could sequence and search learning objects. We proposed an e-learning system and modified SCORM standards by considering the many factors of adaptive learning. We expect that the system enables us to optimally design personalized e-learning system.

• KIEAE Journal
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• 제11권4호
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• pp.11-18
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• 2011

In order to solve housing shortage, an apartment has been built and supplied in large quantities in Korea. As such a result, the apartment became a typical housing type in Korea. However, the housing became vulnerable to accommodate rapidly changing life-style & life-cycle of koreans and was lost the concept of Korean traditional housing for inheriting and developing Korean traditional culture. Therefore, this paper aims at eliciting of design elements for development on standard model of long-life housing with durability & flexibility based on data derived from housing consumers's questionnaire survey and expert's opinion surveys. We expect that the standard model developed on the basis of open building applying support & infill elements will be used as a standard model for planning future long-life housing with capacity.

• Journal of Astronomy and Space Sciences
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• 제34권2호
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• pp.153-159
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• 2017

The Standard Model of particle physics was established after discovery of the Higgs boson. However, little is known about dark matter, which has mass and constitutes approximately five times the number of standard model particles in space. The cross-section of dark matter is much smaller than that of the existing Standard Model, and the range of the predicted mass is wide, from a few eV to several PeV. Therefore, massive amounts of astronomical, accelerator, and simulation data are required to study dark matter, and efficient processing of these data is vital. Computational science, which can combine experiments, theory, and simulation, is thus necessary for dark matter research. A computational science and deep learning-based dark matter research platform is suggested for enhanced coverage and sharing of data. Such an approach can efficiently add to our existing knowledge on the mystery of dark matter.