• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2009.11a
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• pp.103-106
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• 2009

요즘 사람들이 인체에 대하여 많은 관심을 가지고 있다. 그러면서 나의 몸에 작은 변화가 일어 났을 때 나의 신체는 어떻게 변할 것인가에 대한 궁금증이 생기게 되었다. 인체의 변화는 많은 사람들 마다 조금씩 차이는 있겠지만 비슷한 변화를 있을 것이라고 추측 하였다. 일반 사람들에게 정보를 제공하기 위해서는 서비스하는 데이터가 통계적 검증 절차를 받아야 하는 관계로 일반적으로 많은 실험을 통해 얻어진 데이터들을 보여주도록 하였다. 본 시스템 에서는 인체모형 중 남자 머리 구조를 시각화 하여 심리/생리, 음향/음성 에 따른 머리의 변화되는 모습을 보여주도록 하였다. 또 머리를 구조화 하여 시뮬레이션 할 수 있는 공간을 제공하여 방문한 사람들이 이용하기 쉽고 뚜렷한 데이터를 서비스 하였다. 그리하여 전문가, 학생 또는 일반 사람들이 인체 변화에 대한 궁금한 점을 최대한 해결 할 수 있도록 해준다.

• 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 Society for information Management
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• v.24 no.2
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• pp.71-87
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• 2007

With the rapid change of the Web and E-transaction application, the search interface is providing more powerful search and visualization methods, while offering smoother integration of technology with task. Especially, visualization techniques for long menu-lists are applied in retrieval system with the goal of improving performance in user's ability to select one item from a long list. In order to review visualization techniques appropriate to the types of users and data set, this study compared the five visualization browsers such as the Tree-structured menu, the Table-of-contents menu, the Roll-over menu, the Click menu, and Fisheye menu. The result of general analyses shows that among the hierarchical methods, the experienced group prefers the Table-of-contents method menu, whereas the novice's group prefers the Tree-structure method menu. Among the linear methods, the two groups prefer the Roll-over menu. The Roll-over menu is most preferred among the five browsers by the two groups.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.13-25
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• 2021

In the age of digital innovation based on the Internet, Information and Communication and Artificial Intelligence technologies, huge amounts of datasets are being generated, collected, accumulated, and opened on the web by various public institutions providing useful and public information. In order to analyse, gain useful insights and information from data, Formal Concept Analysis(FCA) has been successfully used for analyzing, classifying, clustering and visualizing data based on the binary relation between objects and attributes in the dataset. In this paper, we present an approach for enhancing the analysis of relational attributes of data within the extended framework of FCA, which is designed to classify, conceptualize and visualize sets of objects described not only by attributes but also by relations between these objects. By using the proposed tool, RCA wizard, several experiments carried out on some public open datasets demonstrate the validity and usability of our approach on generating and visualizing conceptual hierarchies for extracting more useful knowledge from datasets. The proposed approach can be used as an useful tool for effective data analysis, classifying, clustering, visualization and exploration.

• Journal of KIISE:Software and Applications
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• v.33 no.9
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• pp.776-786
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• 2006

This paper proposes XML based mobile information visualization system using rectangle layout to show effectively XML based information to user on mobile devices which do not have a rich display feature. We define XML schema that can describes information in graph with cycle as well as information in tree form. It suggests using rectangle layout method that is an improvement of the traditional method of the radial layout because the specificity of the mobile display should be considered when XML information is rendered on the screen. And then, it applies DOI of fisheye view algorithm to information on the rectangle layout to represent all and user interest information. And it also suggests an effective method considering capability of mobile devices to decrease user's confusion and improve awareness of user when a user Interest target selected. The proposed information visualization system in the form of focus+context supports an effective interface for information retrieval via mobile devices, such as PDA, cellular phone and smart phone, that usually have less power of CPU than that of PC and the constraints of display and memory. In this paper, it performs experiments and makes an evaluation comparing information visualization method between the traditional radial layout and the proposed rectangle layout.

• The Journal of the Acoustical Society of Korea
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• v.39 no.1
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• pp.16-23
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• 2020

In High-Intensity Focused Ultrasound (HIFU) treatment, effective localization of HIFU focus is important for developing a safe treatment plan. While Magnetic Resonance Imaging guided HIFU (MRIgHIFU) can visualize the ultrasound path during the treatment for localizing HIFU focus, it is challenging in ultrasound imaging guided HIFU (USIgHIFU). In the present study, a real-time ultrasound beam visualization technique capable of localizing HIFU focus is presented for USIgHIFU. In the proposed method, a short pulse, with the same center frequency of an imaging ultrasound transducer below the regulated acoustic intensity (i.e., Ispta < 720 mW/㎠), was transmitted through a HIFU transducer whereupon backscattered signals were received by the imaging transducer. To visualize the HIFU beam path, the backscattered signals underwent dynamic receive focusing and subsequent echo processing. From in vitro experiments with bovine serum albumin gel phantoms, the HIFU beam path was clearly depicted with low acoustic intensity (i.e., Ispta of 94.8 mW/㎠) and the HIFU focus was successfully localized before any damages were produced. This result indicates that the proposed ultrasound beam path visualization method can be used for localizing the HIFU focus in real time while minimizing unwanted tissue damage in USIgHIFU treatment.

• Journal of Korean Elementary Science Education
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• v.40 no.3
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• pp.326-342
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• 2021

In this study, experimental guide materials for teachers were developed so that algorithm expression, the core of computational thinking, can be applied to experimental activities. The experimental manuals presented in text was converted into an algorithmic form with a linear, branched, and repetitive structure according to the information visualization process using flowchart symbols. As an example, an experiment guide materials was developed by applying an algorithm expression to an experiment to find out the properties of a magnet. The developed experiment guide materials is different from the existing experiment guide materials expressed only sequentially in that it has an algorithmic structure of branching and repetition in which the suitability and judgment of information are expressed, and that the experiment process is visualized and expressed. It is expected that the experimental guide materials developed in this study will help teachers to understand algorithmic thinking and to implement experiments using it.

• Proceedings of the KSMRM Conference
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• 2002.11a
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• pp.99-99
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• 2002

목적： 인체에 전류를 주입하면 체내의 생체조직의 임피던스 분포에 따라서 전류밀도 분포가 결정된다. 이러한 전류밀도 분포에 대한 정보는 전기임피던스 단층촬영법과 유방암 진단, 체내 온도 분포의 영상화, 전기자극에 의한 체내 전류 경로의 시각화에 대한 연구에 응용될 수 있다. 한편 이러한 전류밀도 분포는 전류주입 자기공명영상기법에 의해 영상화할 수 있으며, 본 논문은 3차원 팬텀 내부의 전류밀도 분포를 영상화하는 전류주입 자기공명영상기법의 실험결과를 기술한다.

• Proceedings of the Korean Society for Bioinformatics Conference
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• 2002.06a
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• pp.49-61
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• 2002

현대적 실험방법 및 유전공학의 발전으로 최근 생물학적 자료는 비약적으로 늘어나고 있다. 이러한 자료의 기계학습을 이용한 분석방법은 많은 비용과 시간을 요구하는 전통적인 생물적 실험에 있어서 실험 시간을 단축시켜주고 실험비용을 줄여 주게 된다. 본 논문에서는 특별히 micro array data의 분석에 있어서 graphical model에 기반한 기계학습 방법들을 소개한다. 이중 GTM 은 특히 시각화 효과가 뛰어난 방법으로 Graphical model 에 기반한 GTM의 제반 특성을 소개하고 이를 yeast data의 분석에 적용시킨 결과를 자세히 알아보고자 한다. (**Presentation file을 수신 보관 중)

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1942-1950
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• 2013

This paper suggests a new method of detecting attacks of network traffic by visualizing original traffic data and applying multi-class SVM (support vector machine). The proposed method first generates 2D images from IP and ports of transmitters and receivers, and extracts linear patterns and high intensity values from the images, representing traffic attacks. It then obtains variance of ports of transmitters and receivers and extracts the number of clusters and entropy features using ISODATA algorithm. Finally, it determines through multi-class SVM if the traffic data contain DDoS, DoS, Internet worm, or port scans. Experimental results show that the suggested multi-class SVM-based algorithm can more effectively detect network traffic attacks.