• 디지털산업정보학회논문지
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• 제6권4호
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• pp.45-56
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• 2010

This paper suggests constraint data modeling based on constraint data presentation techniques to perform complex spatial database operation naturally. We were able to identify the limitation of extendibility of dimension and non-equal framework via relevant research for former schema of spatial database and query processing. Therefore we described generalized tuple of spatial data and the definition of suggested constraint data modeling. Also we selected MLPQ/PReSTO tool among constraint database prototype and compare standard functionality of ARC/VIEW. Then we design scenario for spatial operation using MLPQ/PReSTO and we suggested application effect after query processing. Based on above explanation, we were able to identify that we can process spatial data naturally and effectively using simple constraint routine on same framework via constraint data modeling.

• 디지털산업정보학회논문지
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• 제6권2호
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• pp.169-182
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• 2010

The purpose of the study is to prospect the application of knowledge awareness system in the use of the digital textbook which is one of the main educational political projects based on the exploration of the awareness theory for the computer-supported collaborative learning. To do this, first, knowledge awareness theory for computer-supported collaborative learning (CSCL) as a rationale for digital textbook which supports the collaborative learning was introduced. Second, three functionalities of knowledge awareness systems were extracted by analyzing the representative knowledge awareness tools of CSCL environment. Third, application prospects of knowledge awareness system toward the development and utilization of digital textbook were presented. The paper suggested the need of more researches such as the prototype development of digital textbook which applies the knowledge awareness system's functionalities and empirical researches which examine their effectiveness and efficiency.

• 대한조선학회논문집
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• 제42권3호
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• pp.268-275
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• 2005

Tight integration between design and analysis process and data representation in the ship design application domain has been studied in this paper. Multi-Representation Architecture proposed at Georgia Institute of Technology has been carefully investigated for the application in the initial ship design stage. The prototype implementation shows that the application of MRA in the structural ship design domain is quite possible and can be extended for other design and analysis views in ship design.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2002년도 봄 학술발표회 논문집
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• pp.284-291
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• 2002

New information technology developments continue to have a significant impact on civil engineering fields. The objective of this study is to develop STEP-based database which will be able to store and manipulate the information of steel bridges over the life cycle. In this study, there are three steps to fulfil the objective to build database and develop the application module for that data model practically and effectively To begin with, STEP methodology for a development of data model has been used for modelling data structure. And then the data model for a steel bridge's shape and structural analysis information has been made up by using AP203 (configuration controlled design) and AP203 (composite and metallic structural analysis and related design) which are the international standard in STEP Lastly, the application module for an access to information of steel bridges has been developed by means of already made database. This study show efficiently the prototype of developing information system with the existing standard technology in civil engineering fields.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 B
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• pp.985-987
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• 2003

This paper presents a design and characteristics analysis of a SRM drive for EPS application. A rack mounted EPS system is considered in this paper. A conventional driving room space and mechanical structure are suggested in design stage. In the restricted design conditions, motor parameters are determined for sufficient torque and speed. For the smooth torque generation and simple circuit of power system, 12/8 motor drive is considered. With FEM and magnetic circuit analysis, designed motor is simulated to meet the requirement of specifications. Effectiveness of the suggested SRM drive for EPS application is verified by the manufactured prototype motor drive tests.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2009년도 춘계학술대회 논문집 에너지변화시스템부문
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• pp.136-138
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• 2009

A new class of electronically commutated brushless motor, the flux-switching motor(FSM) is gradually emerging in power tools and household appliances especially fan application. This motor offers advantages of both high-power density and relatively high efficiency This paper presents the principle of the FSM and design of the 12/6 pole FSM drive system. Finally, test results of the prototype motor are provided to verify a validity of the fan application.

• 대한원격탐사학회지
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• 제24권3호
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• pp.251-256
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• 2008

Morphing method, one of classic image processing algorithms, has been used in various application fields. The motivation of this work is to investigate its applicability in consideration to geo-spatial data including airborne or space-borne images. For this purpose, the Beier and Neely morphing algorithm is tentatively implemented in the form of a prototype with user interface. As the results, this feature-based morphing with paired image sets can be used for general users: image simulation using two or more images and construction of color-blending image between source image and destination image in different types. Some simple application cases were demonstrated. This scheme is the simple and useful approach for those who want to utilize both geo-spatial data sets and airborne/space-borne image sets.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2018년도 전력전자학술대회
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• pp.522-524
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• 2018

A New Direct AC LED Driver has been proposed for wide output power range and precise constant current regulation using an advanced auto commutation topology. The conventional shunt regulation method provides a stepped input current shape by fixed regulation references in the linear regulator of the each channel, which results in poor current regulation and high THD. The conventional method needs to assign a linear regulator in each LED channel so that the number of linear regulator increases when extending the number of channels especially at high power application. The proposed regulation method can drive multiple switches to regulate each LED channel current by a single amplifier with sinusoidal reference so that large number of LED channel can be simply extended with less BOM cost and low THD is obtained with the accurate current regulation thanks to the sinusoidal input current control in the closed loop control. To confirm the validity of the proposed circuit, theoretical analysis and experimental results from a 20-W LED driver prototype are presented.

• 대한소아치과학회지
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• 제36권2호
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• pp.199-208
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• 2009

본 연구는 기존의 $DIFOTI^{TM}$ 시스템의 문제점을 개선하고자 LED와 디지털 카메라를 결합한 발전된 형태의 prototype DIFOTI시스템을 만들고, 이를 기존 시스템과 비교 평가하기 위하여 인공 우식 용액으로 탈회시킨 법랑질 시편에 대하여 1일부터 7일까지 영상을 촬영하고 분석하여 다음과 같은 결과를 얻었다. 1. 실험 기간에 따라 두 시스템 모두 우식 법랑질의 광투과도(index of transillumination)가 감소하는 양상을 보여 주었다. 2. $DIFOTI^{TM}$ 시스템에 비해 prototype DIFOTI 시스템에서 건전 법랑질과 탈회 법랑질 간의 발광도(intensity of luminance) 차이가 더 적게 나타나는 양상을 보였다. 이상의 결과를 종합해보면 prototype DIFOTI 시스템은 전류 소모량이 적은 LED를 사용하여 배터리를 사용한 무선 시스템으로의 개발 가능성을 보여 주었고, 디지털 카메라는 디지털 영상 기술의 발달과 함께 무선 전송 시에도 매우 높은 화질을 기대할 수 있어 차후에 보다 작고 사용이 편리한 DIFOTI 시스템을 개발할 수 있는 가능성이 크다 할 수 있다.

• Nuclear Engineering and Technology
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• 제55권2호
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• pp.475-483
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• 2023

The high-flux advanced neutron application reactor (HANARO) is a multi-purpose research reactor at the Korea Atomic Energy Research Institute (KAERI). HANARO has been used in scientific and industrial research and developments. Therefore, stable operation is necessary for national science and industrial prospects. This study proposed an anomaly detection system based on deep learning, that supports the stable operation of HANARO. The proposed system collects multiple sensor data, displays system information, analyzes status, and performs anomaly detection using deep autoencoder. The system comprises communication, visualization, and anomaly-detection modules, and the prototype system is implemented on site in 2021. Finally, an analysis of the historical data and synthetic anomalies was conducted to verify the overall system; simulation results based on the historical data show that 12 cases out of 19 abnormal events can be detected in advance or on time by the deep learning AD model.