• Journal of the Korean earth science society
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• v.41 no.6
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• pp.599-616
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• 2020

Sea-surface temperature (SST) is one of the most important oceanic variables for understanding air-sea interactions, heat flux variations, and oceanic circulation in the global ocean. Extremely low SSTs from 0℃ down to -2℃ should be more important than other normal temperatures because of their notable roles in inducing and regulating global climate and environmental changes. To understand the temporal and spatial variability of such extremely low SSTs in the global ocean, the long-term SST climatology was calculated using the daily SST database of satellites observed for the period from 1982 to 2018. In addition, the locations of regions with extremely low surface temperatures of less than 0℃ and monthly variations of isothermal lines of 0℃ were investigated using World Ocean Atlas (WOA) climatology based on in-situ oceanic measurements. As a result, extremely low temperatures occupied considerable areas in polar regions such as the Arctic Ocean and Antarctic Ocean, and marginal seas at high latitudes. Six earth science textbooks were analyzed to investigate how these extremely low temperatures were visualized. In most textbooks, illustrations of SSTs began not from extremely low temperatures below 0℃ but from a relatively high temperature of 0℃ or higher, which prevented students from understanding of concepts and roles of the low SSTs. As data visualization is one of the key elements of data literacy, illustrations of the textbooks should be improved to ensure that SST data are adequately visualized in the textbooks. This study emphasized that oceanic literacy and data literacy could be cultivated and strengthened simultaneously through visualizations of oceanic big data by using satellite SST data and oceanic in-situ measurements.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.34 no.11
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• pp.44-50
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• 2016

• Journal of the Korea Safety Management & Science
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• v.14 no.4
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• pp.239-246
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• 2012

공정제어시스템과 같은 복잡한 시스템을 감시하고 제어하기 위한 정보 디스플레이를 설계하기 위해 두 가지의 세부적인 설계문제를 효과적으로 다루어야 한다. 정보디스플레이에서 표현할 정보의 내용을 파악하고 조직화하는 문제와 그 표현할 정보를 시각적으로 잘 표현하는 문제로 구분이 된다. Ecological Interface Design (EID)는 두 문제를 다루기 위한 이론적 배경지식과 방법을 제공하는 정보디스플레이 설계의 틀이다. EID는 1990년대 초반에 그 개념적 틀이 소개된 이후에 그 유용성이 여러 작업영역과 직무환경에서 입증되어 왔다. 그러나 실제 현장에서 EID의 개념을 활용하는데 있어 큰 어려움으로 지적된 것이 정보의 시각화를 위한 실용적이고 구체적인 원칙과 방법이 부족하다는 점이었다. 또한 EID 개념의 활용에만 집중할 경우 효과적인 정보 디스플레이 설계를 위해 고려되어야 하는 다른 설계 문제들이 쉽게 간과될 가능성도 높다. 이 점은 아직도 EID의 실제적 활용성을 높이는데 큰 약점으로 지적된다. 이 논문에서는 EID의 개요와 장단점을 소개한 후에 이에 기반해서 정보 디스플레이 설계를 종합적으로 다루는 데 도움이 될 수 있는 방법을 소개한다. 특히 이 논문에서는 기능적으로 추상화된 정보의 시각화 및 추상화 관점에서 다른 단계에 있는 정보들간의 목적-수단 관계를 시각화해서 명시화하는 것을 강조한다. 또한 디스플레이 설계 요소에 기반한 설계 프로세스 및 관련 설계 원칙 및 지침의 적절한 활용도 강조한다. 이 논문에서 제안된 방법은 EID의 개념적 틀을 확장하면서 인간 중심적인 정보 디스플레이의 설계하는데 유용한 원칙과 방향성을 정립하는데 도움이 될 것이다.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.591-593
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• 2006

With a rapid developing speed of science technology field, related technical terminology is growing continuously. So it's increasingly difficult to search proper meaning of terminology. This paper tries to develop and implement a application that user can retrieve the technical terminology meaningly and visually.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.395-396
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• 2009

Electron tomography를 이용한 3차원적 영상 시각화는 electron microscopy를 통해 하나의 실험 대상으로부터 연속된 이미지를 생산함으로써 이루어진다. 이미지 데이터 내부에는 대용량의 정보값을 포함하고 있어 3차원 구조물로의 변환이 가능하다. electron tomography 작업 과정 중 고해상도 원본 이미지에 pattern recognition 알고리즘이 적용된 필터링을 적용하면 실험에 필요한 데이터의 정보 손실을 최소화한 상태에서 electron tomography 시스템의 효율성을 높일 수 있다. 또한 tomographic econstruction이 진행되는 각 단계에 hanning windowing을 적용하면 불필요한 정보 값이나 노이즈 등을 효과적으로 제거할 수 있다. 윤곽선 데이터의 효과적 활용을 위하여 sobel 필터 처리를 할 경우 관찰하고자 하는 대상의 윤곽선 특징을 뚜렷하게 시각화 할 수 있었다. 본 연구를 통하여 데이터의 시각화 과정에서 실험의 신뢰성 확보를 위해 원본 이미지를 기반으로 하는 tomogram과 필터링을 적용한 tomogram을 비교하여 최종 결과물의 정확도를 높이고, electron tomography를 통한 결과물의 질적 향상을 유도할 수 있음을 확인하였다.

• Journal of The Korean Association For Science Education
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• v.37 no.6
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• pp.981-992
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• 2017

This research compares the subjects of "Integrated Science" and "Converged Science" in the 2015 Revised National Curriculum, through core concepts. The content priorities and levels of integration of each core concept were evaluated through an analytical framework, and visualized using two-dimensional visualization matrix of the content priorities and the levels of integration. The results show that "Integrated Science" had fewer core concepts, higher in priorities and slightly lower levels of integration than "Converged Science". This can be an evidence that "Integrated Science" is excellent in rigor and not so much inferior in relevance. And also, through visualization of analysis results, the characteristics of integrated subjects could easily be understood and compared.

• Journal of the Korean earth science society
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• v.45 no.1
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• pp.48-71
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• 2024

Typhoons are representative oceanic and atmospheric phenomena that cause interactions within the Earth's system with diverse influences. In recent decades, the typhoons have tended to strengthen due to rapidly changing climate. The 2022 revised science curriculum emphasizes the importance of teaching-learning activities using advanced science and technology to cultivate digital literacy as a citizen of the future society. Therefore, it is necessary to solve the temporal and spatial limitations of textbook illustrations and to develop effective instructional materials using global-scale big data covered in the field of earth science. In this study, according to the procedure of the PDIE (Preparation, Development, Implementation, Evaluation) model, the inquiry activity data was developed to visualize the track of the typhoon using the image data of GK-2A. In the preparatory stage, the 2015 and 2022 revised curriculum and the contents of the inquiry activities of the current textbooks were analyzed. In the development stage, inquiry activities were organized into a series of processes that can collect, process, visualize, and analyze observational data, and a GUI (Graphic User Interface)-based visualization program that can derive results with a simple operation was created. In the implementation and evaluation stage, classes were conducted with students, and classes using code and GUI programs were conducted respectively to compare the characteristics of each activity and confirm its applicability in the school field. The class materials presented in this study enable exploratory activities using actual observation data without professional programming knowledge which is expected to contribute to students' understanding and digital literacy in the field of earth science.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.1122-1125
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• 2020

AI의 결과를 이해하기 위해서 XAI(eXplainable Artificial Intelligence)의 연구는 매우 중요하다. 세계적으로 XAI 개발 연구는 많이 진행되고 있지만 개발된 XAI를 평가하는 연구는 매우 적다. 본 논문은 사용성 측면에서 XAI를 평가하기 위해 AI 사용성 요소, 과학적 설명의 요소, 휴리스틱 평가 요소를 분류하고 의사결정 나무를 시각화여 심미도를 평가한다.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.12
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• pp.533-540
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• 2016

Information Visualization is an information technology to visually represent the data and information by utilizing various tools. Visual information can increase the user's intuitiveness and it can be an effective way that can observe and comprehend the specific information in a short time. Information Visualization, as a research method on Humanities, in the high interest of researchers of Humanities and Area studies, is recently used for collecting base data and analyzing information. As an way to use Information Visualization, various forms of Information Visualization like Electronic Cultural Atlas, Network and Multimedia are actively discussed and studied today. In this paper, Information Visualization will be discussed by utilizing D3, a web-based technology for dynamic visualization. In detail, relationship between the Abbasids of Islam can be visualized by using nodes and connection lines and, this relationship between objects will be analyzed efficiently. Researchers related in this field can use this analyzed information for basis data in their researches.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.2
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• pp.183-196
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• 2016

The academic journal is an important medium carrying newly discovered knowledge in various disciplines. It is desirable to consider visualization of journal and article information in order to make the information more insightful and effective than text-based information. In this study, visualization service platform of journal and article information is developed. TagCloud were included in both Infographics of journal and article. Each word in the TagCloud is inter-linked with DBPedia using Linked Open Data (LOD) technique.