• Korean Journal of Remote Sensing
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• v.15 no.3
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• pp.217-225
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• 1999

Through the ISODATA method of unsupervised classification, the micro-landform of Julpo-Bay tidal flat was classified into mudflat, mixedflat, and sandflat using Landsat TM image. Each showed an apparent differences in its topographical characteristics and grain size composition. Mudflat occupied innermost part of the tidal flat, sandflat located closest to the entrance of the bay and mixed flat in the center is. For example, mudlflats are formed with flat faces and tidal channel. Topographically, mudflat consist of tidal channels and flat intermediate surface. Its average relief of them is about 2 meter. Meanwhile, sandflat comprised very flat landform with well-developed ripple marks of less than 10cm average relief. And Mixed flat stood in between. In addition, Out of 7 bands of Landsat TM images, band 5 and 7 provided the highest power level for discrimination between micro-landforms of the tidal flat. Band 4 showed a clear boundary between the land and tidal flat, and band 3 did its share by showing well a boundary between the sea surface and the tidal flat.

• Journal of the Korean earth science society
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• v.45 no.3
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• pp.214-223
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• 2024

The recent increase in maritime traffic and coastal leisure activities has led to a rise in various marine accidents. These incidents not only result in damage to human life and property but also pose a significant risk of marine pollution involving oil and hazardous and noxious substances (HNS) spills. Therefore, effective ship monitoring is crucial for preparing and for responding to marine accidents. This study conducted an aerial experiment utilizing hyperspectral remote sensing to develop a maritime ship monitoring system. Hyperspectral aerial measurements were carried out around Gungpyeong Port in the western coastal region of the Korean Peninsula, and spectral libraries were constructed for various ship decks. The spectral correlation similarity (SCS) technique was employed for ship detection, analyzing the spatial similarity distribution between hyperspectral images and ship spectra. As a result, 15 ships were detected in the hyperspectral images. The color of each ship's deck was classified based on the highest spectral similarity. The detected ships were verified by matching them with high-resolution digital mapping camera (DMC) images. This foundational study on the application of aerial hyperspectral sensors for maritime ship detection demonstrates their potential role in future remote sensing-based ship monitoring systems.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.361-366
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• 2022

Recently, with the development of virtual and augmented reality technology, metaverse is emerging as a new paradigm that will lead the next-generation internet era, and social and economic activities are spreading around the game, entertainment, music, and content industries. Moreover, as non-face-to-face conversion accelerated after the outbreak of COVID-19, lifestyles and industrial sites are becoming untact and further rapidly becoming a metaverse. In particular, the application of metaverse to the education field is attracting attention because realistic classes using real-time voice conversations using avatars, 3D objects, and 360-degree images can increase immersion and overcome the limitations of distance education. This study examines the concept of metaverse and examines that education using metaverse can be an alternative that can increase the efficiency of education in the non-face-to-face era. In particular, it shows that it is effective in language education and suggests an actual metaverse-based Korea language education program.

• Journal of Korea Water Resources Association
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• v.57 no.5
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• pp.321-332
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• 2024

Understanding the status of surface cover in riparian zones is essential for river management and flood disaster prevention. Traditional survey methods rely on expert interpretation of vegetation through vegetation mapping or indices. However, these methods are limited by their ability to accurately reflect dynamically changing river environments. Against this backdrop, this study utilized satellite imagery to apply the Random Forest method to assess the distribution of vegetation in rivers over multiple years, focusing on the Naeseong Stream as a case study. Remote sensing data from Sentinel-2 imagery were combined with ground truth data from the Naeseong Stream surface cover in 2016. The Random Forest machine learning algorithm was used to extract and train 1,000 samples per surface cover from ten predetermined sampling areas, followed by validation. A sensitivity analysis, annual surface cover analysis, and accuracy assessment were conducted to evaluate their applicability. The results showed an accuracy of 85.1% based on the validation data. Sensitivity analysis indicated the highest efficiency in 30 trees, 800 samples, and the downstream river section. Surface cover analysis accurately reflects the actual river environment. The accuracy analysis identified 14.9% boundary and internal errors, with high accuracy observed in six categories, excluding scattered and herbaceous vegetation. Although this study focused on a single river, applying the surface cover classification method to multiple rivers is necessary to obtain more accurate and comprehensive data.

• Journal of Engineering Education Research
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• v.3 no.1
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• pp.27-41
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• 2000

Recently there have been many Internet-based studies to provide personal users an efficient educational tool making use of multimedia data. The typical examples are remote education and virtual university where many educational trials on theory-based contents have been performed more frequently than those on experiment-based contents for engineering area. This paper describes about a base system implemented as an example of Internet-based experiment-oriented educations to establish cyber engineering laboratories for mechanics, electronics and chemistry. For the first time as a model of cyber engineering laboratories we herein Introduce in detail a server-and-client-based simulative method in which the result may be displayed on computer monitor of client PC while a simulator program is executed on the server. Secondly we introduce an interactive method in which the user of client PC may not only communicate directly with experiment server after initial connection with management server but also he can confirm the status of experiment being performed by way of video as well as experimental result.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.279-284
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• 2022

As a study of the blended learning method on design education through the blended learning method, I would like to propose that more advanced learner-led customized design education is possible. Understanding in face-to-face classes and advantages in non-face-to-face classes can be supplemented in an appropriate way in remote classes. Advanced artificial intelligence and big data technology can provide personalized and subdivided learning materials and effective learning methods tailored to learners' levels and interests based on quantified data in design classes. In this paper, it was proposed to maximize the efficiency of the class by applying a method that exceeds the limitations of time and space through the proposal of the A La Carte model (A La Carte). It is a remote class that can be heard anytime, anywhere, and it is also possible to bridge the educational quality and educational gap provided to students living in underprivileged areas. As the goal of fostering creative convergence-type future talents, it is changing with a rapid technological development speed. It is necessary to adapt to the change in learning methods in line with this. An analysis of the infographic virtual space design and construction process through the A La Carte model (A La Carte) proposal was presented. Rather than simply acquiring knowledge, it is expected that knowledge can be sorted, distinguished, learned, and easily reborn with its own knowledge.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.477-481
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• 2006

최근 무선 인터넷을 포함한 다양한 통신기술의 발달로 원격지에서 회의, 교육 및 발표를 위한 여러 가지 솔루션들이 마련되고 있으며, 그 이용영역이 확대되어가고 있는 추세이다. 그러나 대개의 시스템들은 영상이나 정보를 일방적으로 전달하는 방식이기 때문에 참여자가 수동적이 되기 쉬우며, 보다 능동적인 상호작용을 위해서는 참여자 각자에게 카메라와 같은 영상 장비가 양방향으로 설치되어야 하거나 다른 고가의 장비가 필요한 경우가 대부분이다. 본 논문에서는 이미 많은 사용자가 PDA나 Smart Phone을 보유하고 있고 점점 그 보급률이 향상되고 있다는 점에 착안하여, 이를 이용한 보다 능동적인 회의 참여 시스템을 제안하고, 각종 모바일 단말기와 PC간의 무선 통신을 통한 실시간 통신 기술을 바탕으로 하여 프레젠테이션 참여자의 상호작용을 지원하고 협동적인 회의가 가능하도록 하는 시스템을 구현하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11b
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• pp.868-871
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• 2003

컴퓨터의 개발과 발달은 교육 환경상에 변화를 가져왔다. 초기 본인에게 부족한 부분을 보충 하는 자료를 이용할 수 있는 보조 교재 등의 형태로 나타났으며, 멀티미디어의 등장은 보충교재로의 질을 한 단계 증가시키는 계기를 마련하였다. 인터넷의 급속한 보급과 발달은 멀티미디어의 쉬운 접근과 다양한 형태를 획득할 수 있는 방법을 마련하여, 원격교육상에서 많은 활용이 가능하게 되었다. 하지만, 현재 인터넷을 이용한 평가의 경우 대부분 현재 학교에서 이루어지고 있는 평가와 유사한 단순한 텍스트와 간단한 그림등을 포함한 형태나 동영상등 멀티미디어와 문제는 별개인 형태로 행해지고 있다. 다양한 멀티미디어 자료를 활용하기 위해서 각 멀티미디어의 특성들과 문제의 특성을 고려해서 요소들 간에 동기화를 나타내기 위해서 SMIL을 확장한 방법을 이용하였다. 또한, 교수가 출제된 문제에 대해서 평가 등에 활용시에 현재 시스템들은 수정이 불가능하여 평가의 정확성을 떨어뜨리는 요인으로 작용한다. 본 논문에서는 교수와 문제의 상호작용을 통한 실시간 문제 수정기능과 과목별 특성을 고려한 멀티미디어 요소와 문제를 결합한 실시간 학습평가 시스템을 설계, 구현하였다.

• Journal of the Korea Computer Graphics Society
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• v.10 no.4
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• pp.6-12
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• 2004

웹은 플랫폼에 의존하지 않고 모든 사람들이 공통으로 이용할 수 있는 인터페이스를 제공하기 때문에 웹브라우저상에 3차원 의료 데이터를 가시화하여 표현한다면 원격 진단, 의료 교육 등에 이용될 수 있다. 이 논문은 3차원 의료정보를 3차원 의료 볼륨 데이터, 3차원 의료 영상, 볼륨 렌더링 응용의 3 종류로 구분하여 이들을 XML로 표현하는 방법 및 텍스처 맵핑 기반의 디렉트볼륨렌더링(Direct Volume Rendering)을 SVG(Scalable Vector Graphics)으로 표현하여 SVG 뷰어 상에 표시하는 방법을 제안한다. 제안 방법의 실행 결과는 웹 브라우저 상에서 의료데이터의 분석이 가능하게 하고, 또한 볼륨렌더링 응용프로그램을 SVG로 표현, 결과 이미지를 SVG 뷰어로의 표시가 가능하다는 것을 보여준다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10b
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• pp.407-409
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• 2000

본 논문에서는 Web 기반의 원격 교육 환경에서 강사와 학습자 모두에게 도움을 줄 수 있는 판서장면 MPEG Stream Data에서의 온라인 문자 인식 방법에 대하여 연구하였다. 강사가 별도의 프리젠테이션 자료를 만들 필요 없이 직접 판서한 MPEG Stream Data로부터 초당 3 Frame을 Sampling 한 후, 각 Frame에 Laplacian 마스크를 이용한 윤곽선 검출, Frame간 빼기 그리고 세선화 등의 영상처리 기법을 적용하여 문자인식에 필요한 좌표 값과 방향코드 등의 특징을 추출하였다. 좌표 값은 세선화 된 획의 중간 Pixel의 좌표 값이며, 구해진 좌표 값들을 이용하여 8방향 코드와 가상 획 코드를 구한 다음, 이 특징들을 사용해 은닉 마르코프 모델(Hidden Markov Model)을 학습시키고 한글 문자 인식을 행하였다.