• Title/Summary/Keyword: visualization platform

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A Study on Design and Analysis of Method for MR-based 3D Biological Object Recognition and Matching (MR 기반 3차원 생체 객체 인식 및 정합을 위한 방법 설계와 해석 연구)

  • Jin-Pyo Jo;Yong-Bae Jeong
    • Journal of Platform Technology
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    • v.12 no.2
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    • pp.23-33
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    • 2024
  • The development of mixed reality (MR) technology has a great influence on the research and development of medical support equipment. In particular, it supports to respond effectively to emergencies occurring in the field. MR technology enables access to first aid and field support by combining virtual information with the real world so that users can see virtual objects in the real world. However, due to the nature of the equipment, there is a limitation in accurately matching virtual objects based on user vision. To improve these limitations, this paper proposes a 3D biometric object recognition and matching algorithm in the MR environment. As a result of the experiment, when a virtual object is rendered and visualized while equipped with an optical-based HMD from the user's side, it was possible to reduce the user's field of view error and eliminate the joint-loss phenomenon during skeleton recognition. The proposed method can reduce errors between the real user's field of view and the virtual image and provide a basis for reducing errors that occur in the process of virtual object recognition and matching. It is expected that this study will contribute to improving the accuracy of the telemedicine support system for first aid.

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Knowledge Mining from Many-valued Triadic Dataset based on Concept Hierarchy (개념계층구조를 기반으로 하는 다치 삼원 데이터집합의 지식 추출)

  • Suk-Hyung Hwang;Young-Ae Jung;Se-Woong Hwang
    • Journal of Platform Technology
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    • v.12 no.3
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    • pp.3-15
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    • 2024
  • Knowledge mining is a research field that applies various techniques such as data modeling, information extraction, analysis, visualization, and result interpretation to find valuable knowledge from diverse large datasets. It plays a crucial role in transforming raw data into useful knowledge across various domains like business, healthcare, and scientific research etc. In this paper, we propose analytical techniques for performing knowledge discovery and data mining from various data by extending the Formal Concept Analysis method. It defines algorithms for representing diverse formats and structures of the data to be analyzed, including models such as many-valued data table data and triadic data table, as well as algorithms for data processing (dyadic scaling and flattening) and the construction of concept hierarchies and the extraction of association rules. The usefulness of the proposed technique is empirically demonstrated by conducting experiments applying the proposed method to public open data.

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Construction and Application of 3D Cadastral Information based on Individual Right Objects (개별 권리객체 기반의 3차원 지적정보 구축 및 활용방안)

  • Bae, Sang-Keun;Lee, Seong-Gyu;Shin, Yun-Ho;Kim, Jae-Bok;Choi, Hyung-Hwan
    • Journal of Cadastre & Land InformatiX
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    • v.46 no.1
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    • pp.101-115
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    • 2016
  • The uses of land were relatively simple in the old days, but they are being expanded rapidly to the aboveground and underground due to the urban concentration, the large-scale urban development and so on in these days. Accordingly, the concept of the rights to lands grows from 2D to 3D, and many studies about the 3D cadastral information have been performed in recent years. Several studies were performed about the construction and the visualization of the 3D cadastral information, but most of them focused on the 3D visualization of the buildings and facilities. However, it is more desirable to visualize the individual objects of the rights to lands while considering 'the information on the rights' as well as the 'physical information'. Therefore it is supposed to construct and use the 3D cadastral information based on the individual objects of the rights in this paper. The level of the cadastral information will be upgraded by making and describing more detailed 3D cadastral information through this paper. And also the applicability of the 3D cadastral information will be improved when it is used with the real estate information, the demographic information and many others.

Development of 3D Mapping System for Web Visualization of Geo-spatial Information Collected from Disaster Field Investigation (재난현장조사 공간정보 웹 가시화를 위한 3차원 맵핑시스템 개발)

  • Kim, Seongsam;Nho, Hyunju;Shin, Dongyoon;Lee, Junwoo;Kim, Hyunju
    • Korean Journal of Remote Sensing
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    • v.36 no.5_4
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    • pp.1195-1207
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    • 2020
  • With the development of GeoWeb technology, 2D/3D spatial information services through the web are also has been used increasingly in the application of disaster management. This paper is suggested to construct a web-based 3D geo-spatial information mapping platform to visualize various spatial information collected at the disaster site in a web environment. This paper is presented a web-based geo-spatial information mapping service plan for the various types of 2D/3D spatial data and large-volume LiDAR point cloud data collected at the disaster accident site using HTML5/WebGL, web development standard technology and open source. Firstly, the collected disaster site survey 2D data is constructed as a spatial DB using GeoServer's WMS service and PostGIS provided an open source and rendered in a web environment. Secondly, in order to efficiently render large-capacity 3D point cloud data in a web environment, a Potree algorithm is applied to simplifies point cloud data into 2D tiles using a multi-resolution octree structure. Lastly, OpenLayers3 based 3D web mapping pilot system is developed for web visualization of 2D/3D spatial information by implementing basic and application functions for controlling and measuring 3D maps with Graphic User Interface (GUI). For the further research, it is expected that various 2D survey data and various spatial image information of a disaster site can be used for scientific investigation and analysis of disaster accidents by overlaying and visualizing them on a built web-based 3D geo-spatial information system.

Simple, Rapid and Sensitive Portable Molecular Diagnosis of SFTS Virus Using Reverse Transcriptional Loop-Mediated Isothermal Amplification (RT-LAMP)

  • Baek, Yun Hee;Cheon, Hyo-Soon;Park, Su-Jin;Lloren, Khristine Kaith S.;Ahn, Su Jeong;Jeong, Ju Hwan;Choi, Won-Suk;Yu, Min-Ah;Kwon, Hyeok-il;Kwon, Jin-Jung;Kim, Eun-Ha;Kim, Young-il;Antigua, Khristine Joy C.;Kim, Seok-Yong;Jeong, Hye Won;Choi, Young Ki;Song, Min-Suk
    • Journal of Microbiology and Biotechnology
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    • v.28 no.11
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    • pp.1928-1936
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    • 2018
  • Recently, human infections caused by severe fever with thrombocytopenia syndrome virus (SFTSV), which can lead to fatality, have dramatically increased in East Asia. With the unavailability of vaccines or antiviral drugs to prevent and/or treat SFTSV infection, early rapid diagnosis is critical for prevention and control of the disease. Here, we report the development of a simple, rapid and sensitive portable detection method for SFTSV infection applying reverse transcription-loop mediated isothermal amplification (RT-LAMP) combined with one-pot colorimetric visualization and electro-free reaction platform. This method utilizes a pocket warmer to facilitate diagnosis in a resource-limited setting. Specific primers were designed to target the highly-conserved region of L gene of SFTSV. The detection limit of the RT-LAMP assay was approximately $10^0$ viral genome copies from three different SFTSV strains. This assay exhibited comparable sensitivity to qRT-PCR and 10-fold more sensitivity than conventional RT-PCR, with a rapid detection time of 30 to 60 minutes. The RT-LAMP assay using SFTSV clinical specimens has demonstrated a similar detection rate to qRT-PCR and a higher detection rate compared to conventional RT-PCR. Moreover, there was no observed cross-reactive amplification of other human infectious viruses including Japanese Encephalitis Virus (JEV), Dengue, Enterovirus, Zika, Influenza and Middle East Respiratory Syndrome Coronavirus (MERS-CoV). This highly sensitive, electro- and equipment-free rapid colorimetric visualization method is feasible for resource-limited SFTSV field diagnosis.

Storm-Based Dynamic Tag Cloud for Real-Time SNS Data (실시간 SNS 데이터를 위한 Storm 기반 동적 태그 클라우드)

  • Son, Siwoon;Kim, Dasol;Lee, Sujeong;Gil, Myeong-Seon;Moon, Yang-Sae
    • KIPS Transactions on Software and Data Engineering
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    • v.6 no.6
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    • pp.309-314
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    • 2017
  • In general, there are many difficulties in collecting, storing, and analyzing SNS (social network service) data, since those data have big data characteristics, which occurs very fast with the mixture form of structured and unstructured data. In this paper, we propose a new data visualization framework that works on Apache Storm, and it can be useful for real-time and dynamic analysis of SNS data. Apache Storm is a representative big data software platform that processes and analyzes real-time streaming data in the distributed environment. Using Storm, in this paper we collect and aggregate the real-time Twitter data and dynamically visualize the aggregated results through the tag cloud. In addition to Storm-based collection and aggregation functionalities, we also design and implement a Web interface that a user gives his/her interesting keywords and confirms the visualization result of tag cloud related to the given keywords. We finally empirically show that this study makes users be able to intuitively figure out the change of the interested subject on SNS data and the visualized results be applied to many other services such as thematic trend analysis, product recommendation, and customer needs identification.

Software development for the visualization of brain fiber tract by using 24-bit color coding in diffusion tensor image

  • Oh, Jung-Su;Song, In-Chan;Ik hwan Cho;Kim, Jong-Hyo;Chang, Kee-Hyun;Park, Kwang-Suk
    • Proceedings of the KSMRM Conference
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    • 2002.11a
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    • pp.133-133
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    • 2002
  • Purpose: The purpose of paper is to implement software to visualize brain fiber tract using a 24-bit color coding scheme and to test its feasibility. Materials and Methods: MR imaging was performed on GE 1.5 T Signa scanner. For diffusion tensor image, we used a single shot spin-echo EPI sequence with 7 non-colinear pulsed-field gradient directions: (x, y, z):(1,1,0),(-1,1,0),(1,0,1),(-1,0,1),(0,1,1),(0,1,-1) and without diffusion gradient. B-factor was 500 sec/$\textrm{mm}^2$. Acquisition parameters are as follows: TUTE=10000ms/99ms, FOV=240mm, matrix=128${\times}$128, slice thickness/gap=6mm/0mm, total slice number=30. Subjects consisted of 10 normal young volunteers (age:21∼26 yrs, 5 men, 5 women). All DTI images were smoothed with Gaussian kernel with the FWHM of 2 pixels. Color coding schemes for visualization of directional information was as follows. HSV(Hue, Saturation, Value) color system is appropriate for assigning RGB(Red, Green, and Blue) value for every different directions because of its volumetric directional expression. Each of HSV are assigned due to (r,$\theta$,${\Phi}$) in spherical coordinate. HSV calculated by this way can be transformed into RGB color system by general HSV to RGB conversion formula. Symmetry schemes: It is natural to code the antipodal direction to be same color(antipodal symmetry). So even with no symmetry scheme, the antipodal symmetry must be included. With no symmetry scheme, we can assign every different colors for every different orientation.(H =${\Phi}$, S=2$\theta$/$\pi$, V=λw, where λw is anisotropy). But that may assign very discontinuous color even between adjacent yokels. On the other hand, Full symmetry or absolute value scheme includes symmetry for 180$^{\circ}$ rotation about xy-plane of color coordinate (rotational symmetry) and for both hemisphere (mirror symmetry). In absolute value scheme, each of RGB value can be expressed as follows. R=λw|Vx|, G=λw|Vy|, B=λw|Vz|, where (Vx, Vy, Vz) is eigenvector corresponding to the largest eigenvalue of diffusion tensor. With applying full symmetry or absolute value scheme, we can get more continuous color coding at the expense of coding same color for symmetric direction. For better visualization of fiber tract directions, Gamma and brightness correction had done. All of these implementations were done on the IDL 5.4 platform.

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Development of Molecular Simulation Software for the Prediction of Thermodynamic Properties (열역학 물성 예측을 위한 분자 시뮬레이션 소프트웨어의 개발)

  • Chang, Jaee-On
    • Korean Chemical Engineering Research
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    • v.49 no.3
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    • pp.361-366
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    • 2011
  • By using Monte Carlo simulation method we developed a new molecular simulation software which can be used to predict the thermodynamic properties of organic compounds. Starting from molecular structure and intermolecular potential function, rigorous statistical mechanical principles give a probability distribution for the behavior of a system containing many molecules, which enables us to calculate macroscopic thermodynamic properties of the system. The software developed in this work, cheMC, is based on Windows platform providing with easy access. One can efficiently administrate simulations by using an intuitive interface equipped with visualization tool and chart generation. It is expected that molecular simulations supplement the equation of state approach and will play a more important role in the study of thermodynamic properties.

VKH 데이터의 3차원 시각화를 위한 플랫폼 구현

  • Ryu, Pum-Mo;Kim, Ki-Tai;Choi, Yong-Seok;Lee, Sang-Tae;Choi, Ki-Seok;Joo, Won-Kyun
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2009.05a
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    • pp.173-176
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    • 2009
  • 국가 과학기술 경쟁력 재고를 위하여 R&D기관에서 생성되는 연구데이터를 종합적으로 관리하고 서비스하는 데이터 관리/서비스 시스템의 개발의 필요성이 증대되고 있다. 이에 따라 본 연구에서는 VKH (Visible Korean Human) 데이터를 3차원으로 시각화 서비스하는 플랫폼을 제안하고 구현한다. VKH 데이터는 사망과 동시에 급속 냉동한 인간의 신체를 0.2mm 간격으로 절단하며 촬영한 방대한 양의 실사 이미지 데이터베이스이며, 전통적인 생물학, 의학 분야의 연구뿐만 아니라, 현실감 있는 3D 이미지 구축을 위한 기반 데이터로 이용되고 있다. VKH 데이터 기반의 3D 데이터 시각화 플랫폼은 사용자 접근 편의성을 위하여 웹을 기반으로 구현되고, 트리 형식의 인체 구조 온톨로지와 연동하여 해당하는 인체 구성 요소를 체계적으로 관찰하는 기능, 사용자의 원하는 인체 구성 요소들만을 3D 화면에서 조합하고 관찰하는 기능, 위키피디아 백과사전을 참조하는 기능을 포함한다. 현재 인체의 머리 부분 3D 데이터를 대상으로 플랫폼이 구축되고 있으며, 향후 전체 인체를 대상으로 서비스할 예정이다.

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Development of Interactive Three-dimensional Medical Image Visualization Platform (대화형 의료 영상 3차원 가시화 플랫폼 개발)

  • Choi, Nakyeon;Lee, Sanghoon;Kim, Taewan;Lee, Hojae;Kim, Seonghyun;Lee, Sanghoon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.06a
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    • pp.167-170
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    • 2013
  • 의료 영상의 3차원 가시화는 최근에 교육 진단 수술 리허설 등의 목적으로 많은 관심을 받고 있다. 하지만 관심영역을 3차원으로 가시화 하는 작업은 복잡하고 시간이 많이 소요되는 과정이기 때문에, 대부분 ITK, VTK 같이 가시화 알고리즘이 구현된 오픈소스 라이브러리들이 사용되고 있다. 또한 인터페이스의 구현을 위해 Win32 API, MFC, Java SWT와 같은 플랫폼 또는 라이브러리들이 사용되고 있는 상황인데, 이러한 경향으로 인해 실제로 일련의 알고리즘을 모두 이해하고 직접 구현하는 경우는 거의 찾아보기 힘들다. 이에 본 논문은 의료 영상의 3차원 가시화를 위해 필요한 여러 기술들에 대해 설명하고, 이를 사용자와 상호작용 하는 인터페이스를 구현한 대화형 3차원 의료 가시화 소프트웨어를 구현하였다.

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