• Journal of Information Management
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• v.42 no.2
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• pp.85-102
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• 2011

Conventionally, scientific data visualization is thought of as one of activities performed by scientists during the scientific data analysis. However, recently, there exits a set of research papers which count scientific data visualization as a independent research area. They show the research subjects for studying the scientific data visualization technology and methods. In case, a scientist or group of scientists can not solve their own visualization problem due to the unskillfulness and inexperience on using visualization tool. Therefore, it needs to help them by the systematic way for solving the problem. In this study, we analyze and propose the national level scientific visualization support system for scientists. In particular, we first analyze the existing papers and find out the critical success factors. Then, by integrating the findings of the analysis, we propose the research areas which need to be focused, and the strategic direction and specific research topics for scientific data visualization support system in national level.

• Journal of the Korean association of regional geographers
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• v.4 no.1
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• pp.27-41
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• 1998

The communication model has been accepted as the basic research paradigm of cartography since Board(1967) discussed the map/model analogy. In that paradigm, the function of maps was limited to the media of communication, and the functionality of maps was extremely emphasized. Therefore the model could not play its own role under the new environments such as computer, GIS, scientific visualization. Nowadays, the model has been attacked on several grounds and several alternatives have been suggested. Among the objections raised are (1) geographic visualization in which maps are considered as the tool of scientific visualization, (2) the contributions of art which are ignored in the positivist cartographic research, and (3) deconstructionist arguments which deny the scientific epistemology of map as an objective form of knowledge and recognize the textuality of maps including their metaphorical and rhetorical nature. Since a publication by McCormick et al, the scientific visualization based on the powerful computer graphics is used in a wide context. Maps are treated as the tools of scientific visualization and emphasis is on exploration of the geographic data to gain understanding and insight in the geographic visualization processes. The research on geographic visualization have stayed in the early stage of developing the conceptual model and the basic visualization tools. But, it is expected that the geographic or visual thinking which is emphasized in the geographic visualization will contribute the reestablishment of links between cartography and geography. Also, the development of scientific visualization tools and strategies will offer the opportunities to suggest a fresh idea, to synthesize information and develop holistic approaches to geographical problems.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.13-14
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• 2017

딥러닝을 비롯한 전반적인 인공지능에 대한 관심이 뜨겁다. 특정 영역에 영향력을 주었던 과거와 다르게 인공지능의 영향력은 인류문명 전체에 변화를 주고 있다. 예술 분야도 영향을 받고 있는데, 그 중 한 분야는 과학적 실험의 자료를 어떻게 시각화 하느냐의 문제를 풀다가 나오기도 한다. 자료를 시각화하는 것은 실험과정 및 결과를 과학자 및 독자들에게 쉽게 전달하기위한 것이다. 그런데, 그 시각화된 영상 중에는 미적인 아름다움이 있는 경우가 있다. 본 연구자는 강화학습의 정책이 어떻게 개선되고 있는지 보기위해 강화학습의 과정을 시각화 해서 검증하는 시도를 했다. 그 과정에서 만든 자료가 미술적인 관점에서도 아름다움이 있는 작품을 만들 수 있다는 확신이 들어서 강화학습용 디지탈예술 도구를 만들어 작품을 생성해 보았다.

• Journal of Science and Technology Studies
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• v.10 no.2
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• pp.107-141
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• 2010

Visualization techniques are transformed into reliable representations through socio-technological processes which include the agreement on the instrument and the embodiment of practices in relevant scientific communities. Visual representations thus produced are justified by realistic and epistemic virtues in science. This paper analyzes different visual images presented in the scientific papers of two research groups who argue different theories about the mechanism of face perception. These two scientific groups use the same fMRI technology; yet, different experimental paradigms and visual stimuli change their hypotheses into distinct testable theories, which in turn lead to different evidences to support their own theories. Visual evidences are intermediate representations which lie between fMRI brain images and scientific theories, and theoretical models obtain the scientific value based on the consistency in the chain of visual representations. This study shows that representations in science tend to be good representations within the context of scientific communities. It will provide a chance to think of the value and limit of the scientific knowledge

• Journal of Science and Technology Studies
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• v.11 no.1
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• pp.89-121
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• 2011

The majority of previous researchers on body management practices including plastic surgery has agreed that there is a strong connection between social demands of plastic surgery and public exposures of beautiful body-images, which this research intends to analyze further. This study, on the one hand, discovers how body-images are produced and consumed through clinical practices of plastic surgery, particularly, surgeon-patient consultation processes based on the researcher's participant observation on a plastic surgery clinic in Korea, and shows how visualization technologies are mobilized to reconstruct not only boundaries of patients' bodies but also those of medical disciplines by viewing plastic surgery practices as knowledge production activities, on the other hand. While revealing that surgeon-patient consultation is the process to transform patient's bodies to "scientific" objects and visualization technologies have been made to help plastic surgeons to make their disciplines "scientific" ones, this article also pays attention to complicated effects of new imaging technology beyond a mere means of "scientification" of plastic surgery.

• Journal of Korean Elementary Science Education
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• v.43 no.1
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• pp.18-34
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• 2024

This study aimed to examine the effects of a science-learning program based on data visualization on the science inquiry and creative problem-solving abilities of elementary school science-gifted students. Accordingly, this research developed a data visualization science-learning program using Tableau, which had twelve sessions. The subjects encompassed 61 students in three gifted classes taught by the researcher. The scientific inquiry ability test and creative problem-solving ability test modified to suit the environment and situation were given to the subjects before and after the treatment. The results confirmed that science learning based on data visualization had no significant impact on basic science inquiry skills. Among the subdomains, significant results were obtained only in the reasoning subdomain. Moreover, integrative inquiry ability was significantly affected, unlike basic inquiry abilities. Among the five subdomains, significant differences were observed in three subdomains (data conversion, data interpretation, and variable control). However, concerning the generation of hypotheses and the control of variables, students exhibited confusion regarding the process of variable control and the exact concept of hypothesis development. This study also evaluated the effects of the program's application on creative problem-solving abilities and found a significant impact. Additionally, it was significantly different in all four subdomains. The results were interpreted to be owing to the students' mastery of Tableau's features, collaborative learning through discussion and debate, and the thematic impact of the data visualization program emphasizing procedural thinking. Finally, this study presented implications for science learning based on data visualization and the future direction of education.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.21-24
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• 2020

대용량의 데이터를 시각적 요소를 활용하여 눈으로 볼 수 있도록 하는 데이터 시각화에 대한 관심이 꾸준히 증가하고 있다. 데이터 시각화는 데이터의 전처리를 거쳐 차원 축소를 하여 데이터의 분포를 시각적으로 확인할 수 있다. 공개된 데이터 셋은 캐글(kaggle), 아마존 AWS 데이터셋(Amazon AWS datasets), UC 얼바인 머신러닝 저장소(UC irvine machine learning repository)등 다양하다. 본 논문에서는 UCI의 화학 가스의 데이터셋을 이용하여 딥러닝을 이용하여 다양한 환경 및 조건에서의 학습을 통한 데이터분석 및 학습 결과가 좋을 경우와 그렇지 않을 경우의 마지막 레이어의 특징 벡터를 시각화하여 직관적인 결과를 확인 가능 하도록 하였다. 또한 다차원 입력 데이터를 시각화 함으로써 시각화 된 결과가 딥러닝의 학습결과와 연관이 있는지를 확인 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1020-1023
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• 2008

멀티스레드 프로그램의 효과적인 디버깅을 위해서는 스레드의 비결정성에 의해 야기되는 다양한 수행 양상의 직관적인 이해가 중요하다. 스레드 수행 양상을 시각화하는 기존의 기법들은 공유 변수의 접근사건들 간의 부분 순서를 표현함으로써 시각적 복잡도가 높거나 이전 수행에서 결정된 락킹 순서를 표현하여 잠재되어 있는 다른 수행 양상에 대한 정보를 제공하지 못 한다. 본 논문은 프로그램 수행의 비결정적인 부분 순서는 락의 종류와 속성을 포함하는 코드 블록으로 시각화하고, 결정적인 부분 순서는 블록들을 연결하는 간선으로 시각화한다. 본 연구의 그래프는 플랫폼에 독립적인 Java Swing으로 구현하고 합성 프로그램을 사용하여 효과성을 실험한다.

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.8
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• pp.113-118
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• 2002

한국과학기술정보연구원 (KISTI) 슈퍼컴퓨팅센터의 SeeMore는 국내에서 처음으로 구현된 시스템으로 지난 해 4월에 설치되었으며, 복잡하고 방대한 계산결과를 가상현실 공간상에서 시각화하여, 효과적인 해석을 가능하게 하는 과학적 가시화 시스템이라고 할 수 있다. SeeMore에서 활용될 수 있는 적용 분야는 가상현실, 과학적 데이터의 시각화, 복잡한 데이터의 분석, 기상모델링, 양자화학, 생물정보학, 물리적 현상의 모델링에 이르기까지 무궁무진하다.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.100-112
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• 2021

With the recent growth of the big data technology market, interest in visualization technology has steadily increased over the past few years. Data visualization is currently used in a wide range of disciplines such as information science, computer science, human-computer interaction, statistics, data mining, cartography, and journalism, each with a slightly different meaning. Big data visualization in smart cities that require multidisciplinary research enables an objective and scientific approach to developing user-centered smart city services and related policies. In particular, spatial-based data visualization enables efficient collaboration of various stakeholders through visualization data in the process of establishing city policy. In this paper, a user-centered spatial big data visualization expression request method was derived by examining the spatial-based big data visualization expression process and principle from the viewpoint of effective information delivery, not just a visualization tool.