• 한국지리정보학회지
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• 제8권1호
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• pp.49-62
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• 2005

비행 시뮬레이션과 같은 가상현실 시스템은 실제 존재하는 도시의 가상환경을 필요로 하며, 항상 변화하고 있는 도시환경과 최대한 일치하는 도시모델을 유지하여야 한다. 따라서 주기적으로 갱신되는 지형공간정보를 활용할 수 있는 도시 모델링 방법이 필요하다. 또한 비행 시뮬레이션은 가까운 지역뿐만이 아니라 먼 거리의 건물을 효과적으로 표현할 수 있어야 한다. 이를 위하여 본 논문에서는 고해상도 항공사진과 수치지도로부터, 가상 도시환경을 비교적 적은 노력으로 모델링 할 수 있는 방법을 제시한다. 이미지 기반의 모델링 기법을 아파트처럼 단순한 구조의 건물이 많은 한국의 도시환경과 지형공간정보의 특성에 맞도록 적용하여, 수많은 건물을 폴리곤으로 모델링 하지 않고 효율적으로 표현할 수 있도록 한다. 제안하는 방법은 지형공간정보의 전처리 과정과 가상 도시환경 모델링 과정으로 구성되며, 건물의 높이 맵을 만드는 간단한 전처리 과정만으로 가상 도시환경을 모델링 할 수 있어, 기존의 폴리곤 기반의 모델링 방법이 대규모 도시 가상환경에서 멀리 있는 수많은 건물의 표현을 생략하였던 문제점을 개선하였다.

• 대한공간정보학회지
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• 제12권3호
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• pp.61-67
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• 2004

위성영상과 항공사진 및 위성영상은 생태 및 환경의 현황을 감시하는 것에 효과적으로 활용된다. 따라서 이러한 영상데이터는 환경부의 다양한 행정실무에 유용하게 활용될 수 있을 것이다. 그러나 대부분의 영상데이터는 대용량 자료이므로 이를 네트워크를 통해 실무자에게 전달하는 것에 어려움이 있을 뿐만 아니라 이렇게 제공된 영상데이터를 영상처리에 관한 전문 지식이 없는 실무자들이 활용하는 것 또한 쉽지 않았다. 이에 본 연구에서는 영상압축전송과 웹기반 영상처리 기술을 채용한 대용량 영상자료 서비스 시스템을 구축하였다. 구축된 시스템은 실무자들로 하여금 관련된 모든 영상자료의 신속한 접근을 비롯하여 이 시스템에서 구현된 원격탐사 영상처리 GIS 기능을 통하여 간편한 활용을 가능하게 한다. 구축된 시스템은 실무자들의 의사결정 과정에 적극 활용되어 다양한 행정과정에서 자료분석에 필요한 자원을 크게 절감할 수 있었다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.169-173
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• 2007

Nowadays the aerial photos is using to get the information around our spatial environment and it increases by geometric progression in many fields. The aerial photos need in a simple object such as cartography and ground covey classification and also in a social objects such as the city plan, environment, disaster, transportation etc. However, the shadow, which includes when taking the aerial photos, makes a trouble to interpret the ground information, and also users, who need the photos in their field tasks, have restriction. This study, for removing the shadow, uses the single image and the image without the source of image and taking situation. Also, this study present clustering algorism based on HIS color model that use Hue, Saturation and Intensity, especially this study used I(intensity) to extract shadow area from image. And finally by filtering in Fourier frequency domain creates the intrinsic image which recovers the 3-D color information and removes the shadow.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.241-244
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• 2003

Nowadays image processing is very useful for some field of traffic applications. The one reason is we can construct the system in a low price, the other is the improvement of hardware processing power, it can be more fast to processing the data. In this study, I propose the traffic monitoring system that implement on the embedded system environment. The whole system consists of two main part, one is host controller board, the other is image processing board. The part of host controller board take charge of control the total system, interface of external environment. and OSD(On screen display). The part of image processing board takes charge of image input and output using video encoder and decoder, image classification and memory control of using FPGA, control of mouse signal. And finally, fer stable operation of host controller board, uC/OS-II operating system is ported on the board.

• 제어로봇시스템학회논문지
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• 제10권1호
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• pp.66-72
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• 2004

To assess tunnel safety, cracks in tunnel lining are measured by inspectors, who observe cracks with their naked eyes and record them. But manual inspection is slow, and measured crack data is subjective. Therefore, this study proposes inspection system fur measuring cracks in tunnel lining and providing objective crack data to be used in safety assessment. The system consists of On-vehicle system and Laboratory system. On-Vehicle system acquires image data with line CCD camera on scanning along the tunnel lining. Laboratory system extracts crack information from the acquired image using image processing. Measured crack information is crack thickness, length and orientation. To improve accuracy of crack recognition, the geometric properties and patterns of cracks in concrete structure were applied to image processing. The proposed system was verified with experiments in both laboratory environment and field environment such as subway tunnel.

• 한국게임학회 논문지
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• 제6권2호
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• pp.45-50
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• 2006

실 세계 공간에 가상 물체를 사실적으로 합성하기 위해서는 공간 내에 존재하는 조명정보 등을 분석해야 한다. 본 논문에서는 카메라에 대한 사전 교정(calibration)없이 카메라 및 조명의 위치 등을 추정하는 새로운 조명공간 재구성 방법이 제안된다. 먼저, 어안렌즈(fisheye lens)로부터 얻어진 전방향(omni-directional) 다중 노출 영상을 이용해 HDR (High Dynamic Range) 래디언스 맵(radiance map)을 생성한다. 그리고 다수의 대응점으로부터 카메라의 위치를 추정한 다음, 방향벡터를 이용해 조명의 위치를 재구성한다. 또한 대상 공간 내 많은 영향을 미치는 전역 조명과 일부 지역에 국한되어 영향을 주는 방향성을 갖는 지역 조명으로 분류하여 조명 환경을 재구성한다. 재구성된 조명환경 내에서 분산광선추적(distributed ray tracing) 방법으로 렌더링한 결과로부터 사실적인 합성영상이 얻어짐을 확인하였다. 제안된 방법은 카메라의 사전 교정 등이 필요하지 않으며 조명공간을 자동으로 재구성할 수 있는 장점이 있다.

• 해양환경안전학회지
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• 제12권2호
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• pp.145-150
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• 2006

본 연구에서는 인천항의 인식에 관해 퍼지이론을 이용하여 분석하였다. 분석결과 인천항만개발에 대해서 긍정적 이미지의 경우는 절충이 0.73, 찬성이 0.27로 나타났고, 부정적 이미지에서도 절충이 0.69, 반대가 0.31로 나타나 항만개발은 절충적으로 고려되어야 하는 것으로 나타났다. 항만의 이미지에 대해 연령별로 살펴보면 20대와 30대 사이에 긍정적 이미지는 급격히 낮아지는 것으로 나타났고, 부정적 이미지에서는 10대에서 20대 사이에 이미지가 높아지는 것으로 나타났다. 따라서 긍정적 이미지는 레져활동, 휴식공간의 확보 등을 통해 높이고, 종합항만공간, 친환경적 항만개발 전략 등을 통해 부정적 이미지는 낮출 수 있는 항만개발이 요구된다.

• 인간식물환경학회지
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• 제24권6호
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• pp.639-649
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• 2021

Background and objective: Various images from visual display terminals (VDTs) as well as living lighting are important parts of our daily life; thus, properly controlling the lighting environment - that is, illuminance, color temperature and good images from VDTs - can have a substantial effect on improving the mental health and work efficiency in everyday life. We examined electroencephalography (EEG) and heart rate variability (HRV) responses to various lighting conditions in 25 university students as they viewed images of a green landscape or traffic congestion. Methods: EEG was performed in darkness and when the room was illuminated with 10 different light-emitting diode (LED) color temperatures, while the EEG and HRV responses to green landscape or traffic congestion image stimuli were measured in darkness and during room illumination with three different LED color temperatures. Results: We found a significant difference between darkness and high LED illumination (400 lx) at 7 (CZ, F4, FZ, O1, O2, OZ, and T6) of 30 channels, while the alpha wave activity increased during darkness. In the second experiment, the green landscape image stimuli in the 30 lx-2600 K lighting condition elicited theta wave activity on the EEG, whereas the traffic congestion image stimuli under high LED illumination elicited high beta and gamma wave activities. Moreover, the subjects exhibited better stress coping ability and heart rate stability in response to green landscape image stimuli under illuminated conditions, according to their HRV. Conclusion: These results suggest that lower color temperatures and illumination levels alleviate tension, and that viewing green landscape image stimuli at low illumination, or in darkness, is effective for reducing stress. Conversely, high illumination levels and color temperatures are likely to increase tension and stress in response to traffic congestion image stimuli.

• 한국주거학회논문집
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• 제12권4호
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• pp.153-161
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• 2001

This paper is to clarify a cognitive structure of green environment in the traditional urban residential areas. The following is the result of analysis; 1) According to the survey of created actual condition of the green environment, the main space was consisted of court(74%). The percentage of preference locations for green environment at the court and the alley are 71, 60 respectively. The main reason to creat green environment resulted admiration and enjoyment. 2) The degree of $\ulcorner$agreeableness$\lrcorner$ and $\ulcorner$nobleness$\lrcorner$ of the house were increased by creating green environment in a house, and the degree of $\ulcorner$neighborhood$\lrcorner$ and $\ulcorner$familarity$\lrcorner$ were increased by creating green environment out side of house. 3) According to the analysis of a correlation between the degree of satisfaction and the image, $\ulcorner$agreeableness$\lrcorner$ has an interrelation with all factors of image. Therefore, the creating of $\ulcorner$agreeableness$\lrcorner$ is a main problem for raising the whole image of the residential areas.

• 무역상무연구
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• 제56권
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• pp.3-27
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• 2012

The purpose of this thesis is to develop a relational model which can explain consumer selection for exporting goods and analyze the effect of corporate image on the relations between country image and consumer selection under global trade environment. The specific objectives are as follows: 1) to suggest a concept of consumer selection and measurement criteria, 2) to analyze correlations among country image, corporate image and consumer selection and 3) to find out the effect of corporate image on the relations between country image and consumer selection. The SPSS program for window and LISREL program were used to analyze the data for this study. The statistical method used in this study was the covariance structure analysis estimating parameters by maximum likelihood method. Path coefficients were tested for t-tests with a statistical significance level of .05. The conclusions of this study are as follows. First, significant correlations were observed among all sub-variables proposed in this study. In addition, significant correlations were detected among country image, consumer selection and corporate image. Second, a hypothetical model proposed in this study was mostly appropriate. Country image had a positive direct effect on consumer selection and corporate image with statistical significance. In addition, it has an indirect impact on consumer selection with statistical significance with corporate image as an intervening variable. Third, corporate image had a significant moderation effect in country image-consumer selection relations. As corporate image levels increased, the effect of country image on consumer selection increased as well. In other words, it has been confirmed that if corporate image levels are high, country image could end up with consumer selection.