• 한국의류학회지
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• 제23권4호
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• pp.517-528
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• 1999

The purpose of this study was to obtain the basic data on clothing habits for health promotion through the investigation of clothing weight by month and season. Thirty six subjects (18 males and females twenties) were composed to obtain the clothing weight(Total clothing weight) for a year. And then clothing weight was grouped in to four seasons : spring(Mar-May) Summer(Jun-Aug) Fall(Sep-Nov) and Winter(Dec-Feb). The data of males and females were respectively divided into three groups by cluster analysis with clothing weight. 1. The clothing weight of male and female were the heaviest in jan, that of male were smallest in July female in Aug. 2. The clothing weight mean of male(996g/m2) were heavier than that of female(894g/m2) for year. The seasonal clothing weight of male culminated in Winter(1179g/m2) and decreased respectively : Spring (973g/m2) Fall(879g/m2) and summer(559g/m2) The seasonal clothing weight of female culminated in Winter (1068g/m2) and decreased respectively ; Fall(865g/m2) Spring(835g/m2) and summer(479g/m2). The seasonal clothing weight variations were significantly different in each season(p<0.01) but they were insignificantly different between Spring and Fall. middle and light. There was individual differences in the clothing weight especially large in Winter and Spring and small in Summer and Fall. 4. Lower inner clothing weight was the lowest fluctuant all around year upper outer clothing weight was the most fluctuant. So he/she controled upper outer clothing to deal with thermal environment. He/she pretended natural textiles such as cotton and wool to synthetic textiles.

• 대한원격탐사학회지
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• 제29권5호
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• pp.527-535
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• 2013

분광혼합분석을 효과적으로 수행하기 위한 정확한 endmember의 추출은 반드시 선행되어야할 조건이며, 이를 위한 다양한 endmember 추출 알고리즘들이 개발되었다. 이러한 endmember 추출 알고리즘의 개발 및 적용성을 평가하기 위한 기존의 연구는 대부분 모의 초분광 영상 또는 AVIRIS 영상을 대상으로 진행되었다. 그러나 이러한 영상 자료는 실제 국내에서 획득되고 활용할 수 있는 초분광 영상과 차이를 보일 수 있다. 따라서 본 연구에서는 국내에서 취득된 AISA 초분광 영상에 대하여 대표적인 endmember추출 알고리즘을 사용하고, 그 적용성을 평가하였다. 물질의 종류 및 크기에 따른 차이를 분석하기 위하여 인공적으로 설계한 테스트베드를 구축하고, AISA 초분광 영상을 취득하여 실험 자료로 이용하였다. 실험결과, 테스트베드 내 물질과 초기 입력값에 따라 알고리즘별로 endmember 추출결과가 다르게 나타났다. 따라서 효과적인 endmember 추출 알고리즘을 적용하기 위해서는 영상을 구성하는 테스트베드 내 물질의 특성 및 최적의 endmember의 개수를 고려해야 할 것이다.

• 한국전자통신학회논문지
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• 제10권5호
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• pp.629-636
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• 2015

본 논문는 인공어초 조성의 가장 기본적인 요소인 적지선정을 위한 방법에 대해 고찰하였다. 현장관측과 위성 원격탐사(Remote Sensing, RS)로 획득한 자료를 지리정보시스템(Geographic Information System, GIS)을 활용하여 분석하였다. 한반도 주변해역의 해양환경 특성을 파악하기 위해 물리적 조건-해저저질, 수심, 생물적 조건-클로로필-${\alpha}$, 화학적 조건-해수온, DO를 활용하였다. 인공어초 적지로는 태안반도, 거제, 완도, 포항, 서천 등이 나타났다. 향후 본 연구는 인공어초 설치의 효율적인 활용뿐만 아니라 종합적인 데이터베이스의 구축에 도움을 줄 수 있을 것이다. 또한 인공어초 시설관리의 기초자료로 활용할 수 있을 것으로 기대된다.

• 한국지역지리학회:학술대회
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• 한국지역지리학회 2009년도 하계학술대회 발표집
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• pp.108-115
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• 2009

An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmentaldescription of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapor Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapor Explosion), Fireball and so on, among them.we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.3-5
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• 2008

An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmental description of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapour Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapour Explosion), Fireball and so on, among them, we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.

• 디지털융복합연구
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• 제18권7호
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• pp.331-337
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• 2020

본 연구의 목적은 국내 간호사의 재난간호 경험을 탐색한 질적연구의 결과를 메타합성 하여 그 현상에 관한 이해를 하기 위해 시도되었다. 연구방법은 질적 메타합성연구로, Thomas와 Harden의 방법으로 분석하였는데 이는 개별 연구에 관한 질평가 탐색, 분석을 위한 자료 추출, 결과를 메타합성 하는 단계로 분석하였다. 연구 결과 5가지 합성 주제로 나타났다. 1)불안과 두려움으로 시작되는 재난간호, 2)재난간호 과정 : 고립과 단절 속에 외로움과 부담감 마저 느끼는 분위기, 3)재난간호 과정 : 열악하고 다양한 부족한 환경 속에 처함, 4) 재난간호 과정 : 소진되지만 버티고 극복해냄. 5)재난간호 이후 : 사명감과 자긍심을 넘어선 발전을 위한 도약. 따라서 본 연구는 향후 간호사의 재해간호 프로그램 및 교육 프로그램 개발과 적용에 유용한 기초자료가 되리라 본다.

• International Journal of Internet, Broadcasting and Communication
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• 제16권1호
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• pp.106-123
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• 2024

This article takes the talk show "Beast Town" as an example to introduce the overall technical solution, technical difficulties and countermeasures for the combination of cartoon virtual characters and virtual studio technology, providing reference and experience for the multi-scenario application of digital humans. Compared with the live broadcast that combines reality and reality, we have further upgraded our virtual production technology and digital human-driven technology, adopted industry-leading real-time virtual production technology and monocular camera driving technology, and launched a virtual cartoon character talk show - "Beast Town" to achieve real Perfectly combined with virtuality, it further enhances program immersion and audio-visual experience, and expands infinite boundaries for virtual manufacturing. In the talk show, motion capture shooting technology is used for final picture synthesis. The virtual scene needs to present dynamic effects, and at the same time realize the driving of the digital human and the movement with the push, pull and pan of the overall picture. This puts forward very high requirements for multi-party data synchronization, real-time driving of digital people, and synthetic picture rendering. We focus on issues such as virtual and real data docking and monocular camera motion capture effects. We combine camera outward tracking, multi-scene picture perspective, multi-machine rendering and other solutions to effectively solve picture linkage and rendering quality problems in a deeply immersive space environment. , presenting users with visual effects of linkage between digital people and live guests.

• Maxillofacial Plastic and Reconstructive Surgery
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• 제31권6호
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• pp.478-484
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• 2009

Three-dimensional porous scaffolds play an important role in tissue engineering strategies. They provide a void volume in which vascularization, new tissue formation, and remodeling can occur. Like any grafted materials, the ideal scaffold for bone tissue engineering should be biocompatible without causing an inflammatory response. It should also possess biodegradability, which provides a suitable three-dimensional environment for the cell function together with the capacity for gradual resorption and replacement by host bone tissue. Various scaffolds have already been developed for bone tissue engineering applications, including naturally derived materials, bioceramics, and synthetic polymers. The advantages of biodegradable synthetic polymers include the ability to tailor specific functions. The purpose of this study was to examine the osteogenic activity of periosteal-derived cells in a polydioxanone/pluronic F127 scaffold. Periosteal-derived cells were successfully differentiated into osteoblasts in the polydioxanone/pluronic F127 scaffold. ALP activity showed its peak level at 2 weeks of culture, followed by decreased activity during the culture period. Similar to biochemical data, the level of ALP mRNA in the periosteal-derived cells was also largely elevated at 2 weeks of culture. The level of osteocalcin mRNA was gradually increased during entire culture period. Calcium content was detactable at 1 week and increased in a time-dependent manner up to the entire duration of culture. Our results suggest that polydioxanone/pluronic F127 could be a suitable scaffold of periosteal-derived cells for bone tissue engineering.

• 한국산림과학회지
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• 제85권2호
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• pp.195-209
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• 1996

본 연구는 우리 나라 대표적인 산악형 국립공원이라 할 수 있는 덕유산 국립공원의 개발지역을 대상으로 하여 개발전과 개발후로 나누어 S.D Scale 측정에 의한 공간의 이미지 구조를 인자분석, 알고리즘을 통하여 밝히며, 시각적 선호요인 분석을 실시하여 공간의 선호도 결정요인 추출과 각 요인 상호간의 상대적 중요성을 설명한다. 이 결과를 요약하면 다음과 같다. 덕유산 국립공원의 공간 이미지를 함축하는 변인(變因)은 종합평가차원, 공간적차원, 친근감차원, 자연성차원, 호감성차원, 물리적차원 등 6개의 인자군(因子群)으로 분석되었다. 이러한 변인들은 덕유산 국립공원의 공간 이미지를 나타내고 있으며, 인자수 제어방법에 의하여 전체변량은 45.46%와 45.45%로 나타났다. 국립공원 개발에 따른 경관관리를 위한 계량적 접근의 기능적차원에 반영되어야 할 주요 척도적 요소라고 생각된다. 각 지점별 공간 이미지의 차이에 따라 시각적 선호도를 결정짓는 변수가 달라지며 동일지점에서도 공간이미지의 주된 변수적 기능을 수행하는 변인의 차이에 의하여 선호도 결정 요인의 차이가 인정된다 할 수 있다.

• 한국물환경학회지
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• 제26권2호
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• pp.191-199
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• 2010

Introduction of Technology-Based Effluent Limitations (TBELs) concepts into Korea requires extensive and through analyses on the expected pollutants reduction effects and the cost factor for the industry side. In addition, the TEBLs should be optimized for the regulatory environments of Korea and be applied in a progressive manner to minimize the undesirable effects. It is also necessary to assess the contribution of each industrial categories's to the pollution of natural water bodies to find the priority of TEBLs application. For these purposes, the pollution loads of various industrial categories were analyzed using risk assessment indicator based on Toxic Weighting Factors (TWFs). First, the TWFs were calculated for the pollutants regulated using the method adopted by USEPA. And the effluent characteristics of the eighty two categories of industry in Korea were investigated. Although the analytical data on the wastewater from different industrial categories are relatively limited, the results from two previous studies were used. The first study, conducted by the National Institute of Environmental Research in 2001~2004, investigated the wastewater characteristics from 255 industrial sources covering the major 20 industrial categories. The second study includes more recent analytical data for the wastewater from 500 industrial sources, covering all the 82 industrial categories. In the result of the pollution loads analyses, the category of 'Synthetic and Chemical manufacture' was found to show the highest raw pollution load. On the other hand the category of 'Ion & Steel manufacture' was found to show the highest effluent pollution loads, which can be considered as the real impacts on natural water streams. The top five categories occupied 62.2% of the total effluent pollution loads. Through the analyses, the relative importances of each industrial categories and the priorities of TEBL-based pollution reduction were determined.