• Journal of Digital Contents Society
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• v.19 no.5
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• pp.981-993
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• 2018

Smart healthcare is convergence of ICT and healthcare services, and interdisciplinary research has been actively conducted in various fields. The objective of this study is to investigate trends of smart healthcare research using topic modeling and ego network analysis. Text analysis, frequency analysis, topic modeling, word cloud, and ego network analysis were conducted for the abstracts of 2,690 articles in Scopus from 2001 to April 2018. Topic Modeling analysis resulted in eight topics, Topics included "AI in healthcare", "Smart hospital", "Healthcare platform", "Blockchain in healthcare", "Smart health data", "Mobile healthcare", " Wellness care", "Cognitive healthcare". In order to examine the topic modeling results core deeply, we analyzed word cloud and ego network analysis for eight topics. This study aims to identify trends in smart healthcare research and suggest implications for establishing future research direction.

• The Optical Journal
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• s.141
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• pp.24-25
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• 2012

한국산업기술대학교가 주최하고 (주)모던하이테크가 후원한 '글로벌 COB형 LED 조명 솔루션 기술교류회'가 지난 7월 6일 한국산업기술대학교 TIP 아트센터에서 개최됐다. 이에 (주)모던하이테크는 독일 옵시라(opsira) 제품을 전시하였으며, 강연자로 옵시라의 폴케르 슈마커(Volker Schumacher) 대표를 초청해 'Near-field 측정과 COB 광원 모델링'을 주제로 강의를 진행했다.

• Journal of Internet Computing and Services
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• v.6 no.6
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• pp.107-115
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• 2005

A workflow procedure has recently become more complicated and large scaled. In this paper, we propose an advanced workflow modeling methodology, called a fragment driven cooperative workflow modeling methodology. which enables several real workflow designers to cooperatively define a workflow model. The methodology is a Bottom-Up approach in terms of integrating a set of fragment ICNs to compose a complete workflow model. Each fragment ICN is defined by each participant in the cooperative modeling session, We also use the ICN based formal description and the ICN based graphical notation as well. Finally, we prove the feasibility of the methodology by implementing a cooperative workflow modeling system.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.431-431
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• 2011

Rio Narcea 는 스페인 북부에 위치한 Astuias 지역을 흐르는 Nalon River 의 한 지류로서 총연장 102km 유역 면적 1,135 m이며. 사행천으로 홍수 시 범람하기 쉬운 곡류천의 특성상 잦은 홍수피해를 받고 있는 지역이다. 특히 2010년 6월에는 일주일 사이에 홍수 피해가 두 번씩이나 발생함에 따라 수많은 인명피해가 발생하였고 사회 SOC 시설이 큰 타격을 입는 등 상당한 피해를 야기하였다. 이에 1D 및 2D 수리 모델링 프로그램을 이용하여 사행천에 수리특성을 분석하고, 그에 따른 홍수범람도를 작성하여 1D와 2D 모델링을 비교분석하였고 이를 이용하여 홍수 피해 방지 대책을 마련하는데 도움이 되고자 한다. 1D 모델링은 HEC-GeoRAS 및 HEC-RAS를 이용하였으며, 2D 모델링에는 IBER를 이용하였다. Arc-GIS 툴을 이용한 HEC-GeoRAS 기능을 사용하여 강의 단면을 구성하고 HEC-RAS를 이용하여 1차원 모델링을 수행하였으며, 2D 모델링에는 스페인의 CIMNE에서 개발한 2차원 수리해석 프로그램인 IBER를 사용하였는데, 이 프로그램은 부정류 해석과 난류 해석, 유사이동 및 Dam-break 등의 해석이 가능하다. 1D 및 2D 모델링의 결과 값으로 얻어진 수심 및 유속을 토대로 1D는 Arc-GIS를 이용, 2D는 IBER 프로그램 내에 기능을 이용하여 바르셀로나에서 주로 사용되는 Catalan Water Agency 기준에 의한 홍수범람도를 작성하였다. 각각의 1D 와 2D 모델링으로 작성한 홍수범람도를 비교분석해 본 결과 거의 유사하게 표현됨을 알 수 있었으며, 두 모델링 기법 모두 홈수범람도를 표현함에 있어서 유용하게 사용될 수 있을 것이라 생각된다. 대상지역의 관련 자료의 유무에 따라 구분하여 1D 혹은 2D 모델링 기법을 선택 사용할 수 있으며. 유역의 홍수발생시 인명과 재산 피해에 대비한 홍수범람 지도 및 홍수재해지도 제작에 도움이 될 것으로 판단된다.

• Defense and Technology
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• no.5 s.291
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• pp.30-41
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• 2003

최근 컴퓨터기술의 발전과 더불어 등장한 컴퓨터모델링기법을 이용하여 현재는 존재하지 않으나 합성에 의해 만들어낼수 있는 새로운 분자들을 예측할 수 있게되었다. 이러한 기술을 에너지물질의 설계에 적용하려는 시도가 1890년대부터 시작되어, 새로운 고밀도 고에너지물질 분자들이 이론적으로 존재 가능하다는 연구결과가 속속 보고되고 있다. 에너지물질 분자들의 주요 구성원소는 C, H, N, O 등인데, 이들 원자들로부터 에너지효율을 극대화하기 위하여 선진국을 위시한 세계 여러 나라의 이론화학자들이 양자역학 이론에 바탕을 둔 ab initio 계산이 주가 되는 분자모델링 기법을 이용하여 새로운 분자들의 존재가능성을 예측하려는 연구가 활발하게 이루어지고 있다. 이러한 새로운 고에너지 물질을 찾으려는 노력의 일환으로 순수한 질소 원자들로만 이루어진 분자들, 일명 질소클러스터(Nitrogen Clusters)에 대한 연구가 진행되고 있는데, N4에서 N60까지 다양한 개수의 질소원자로 이루어진 질소크러스터의 존재가능성이 이론적으로 확인되고 있고, $N5^+$가 최근 합성되는 등 이들 새로운 초 고에너지의 분자들의 출현이 기대된다.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.186-192
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• 2009

In this paper, we represent the recognition method for human frontal upper body pose. In HCI(Human Computer Interaction) and HRI(Human Robot Interaction) when a interaction is established the human has usually frontal direction to the robot or computer and use hand gestures then we decide to focus on human frontal upper-body pose, The two main difficulties are firstly human pose is consist of many parts which cause high DOF(Degree Of Freedom) then the modeling of human pose is difficult. Secondly the matching between image features and modeling information is difficult. Then using Pictorial Model we model the human main poses which are mainly took the space of frontal upper-body poses and we recognize the main poses by making main pose database. using determined main pose we used the model parameters for particle filter which predicts the posterior distribution for pose parameters and can determine more specific pose by updating model parameters from the particle having the maximum likelihood. Therefore based on recognizing main poses and tracking the specific pose we recognize the human frontal upper body poses.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.32 no.4
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• pp.257-263
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• 2019

Multilayered structures include lamination by relatively thick plies and thin interlayers. For efficient peridynamic analysis of dynamic fracturing multilayered structures, the interlayer is modeled using ghost peridynamic particles while the ply is formulated via real peridynamics. With the nonlocal ghost interlayer, one may keep the discretization resolution low for the ply. In this study, the characteristics of dynamic wave propagation through the nonlocal ghost interlayer in peridynamic analysis are investigated. It is observed that the interlayer not only binds adjacent plies, but also significantly influences energy transfer between plies, and thereby their deformation and motion. In addition, near a surface or boundary, peridynamic particles do not have a full nonlocal neighborhoods. This causes the effective material properties near the surface to be different from those in the bulk. Surface correction based on neighborhood volumes is employed. The impact of surface correction on wave propagation in multilayered structures is investigated.

• Journal of The Korean Association For Science Education
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• v.37 no.2
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• pp.239-252
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• 2017

The purpose of this study is to examine metamodeling knowledge and its components, which means knowledge about model and modeling required for students and teachers for successful application of modeling in the field of science education based on research literature. For this, we analyzed and categorized major previous studies on modeling and modeling through research literature methods. Metamodeling knowledge aims to recognize models and modeling and is the most crucial element to create a scientific model in scientific modeling practice. The point of view of metamodeling knowledge proposed in this study is categorize nature of model, multiplicity of model, purpose of model, modeling process, and evaluation and revision of model. Students should be able to achieve more in-depth understanding through the awareness of the nature of the model. The development of metamodeling knowledge can facilitate students' science learning.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.235-258
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• 2017

The purpose of this study is to analyze research trends of archives management in Korea by comparing LDA (Latent Semantic Allocation) topic modeling, which is the most famous method in text mining, and HDP (Hierarchical Dirichlet Process) topic modeling, which is developed LDA topic modeling. Firstly we collected 1,027 articles related to archives management from 1997 to 2016 in two journals related with archives management and four journals related with library and information science in Korea and performed several preprocessing steps. And then we conducted LDA and HDP topic modelings. For a more in-depth comparison analysis, we utilized LDAvis as a topic modeling visualization tool. At the results, LDA topic modeling was influenced by frequently keywords in all topics, whereas, HDP topic modeling showed specific keywords to easily identify the characteristics of each topic.

• Journal of the Korea Convergence Society
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• v.9 no.11
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• pp.137-143
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• 2018

DICOM images of patellofemoral bones were converted into a stereolithography file, and a Unigraphics CAD program was used to create a CAD modeling in which there exists point, line and facet information. The modeling extraction of joint facets was performed by linking two adjacent points into lines in the stereolithography file by using the Unigraphics rapid spacing function and then linking the lines into facets to complete the entire modeling. This modeling extraction was performed based on the anatomical knowledge of joint facet directions. As a result, a personalized space modeling and solid modeling were produced for the joint facets of patellofemoral bones. This was followed by a CAM control computing operation of solid modeling on graphite materials and 5-axis machining of patellofemoral bones. That is the description of a method for a personalized implant modeling by using DICOM images of patellofemoral bones.