• Title/Summary/Keyword: 아우라

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30개월만에 중수로발전소 건설

  • 한국원자력산업회의
    • Nuclear industry
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    • v.7 no.7 s.53
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    • pp.69-71
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    • 1987
  • 운전중인 CANDU발전소에서 입증된 계통, 기기 및 기술을 이용하는 CANDU 300은 발전소 레이아우트와 건설공법을 포함한 여라 분야에서 많은 개선이 이루어졌으며, 그 결과는 우수한 성능, 짧은 건설공기 및 낮은 건설비를 이룰 수 있다.

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Characteristics of Fish Fauna Collected from Near Estuary of Seomjin River and Population Ecology (섬진강 하구 어류상과 주요 종의 개체군 생태)

  • Kim, Chi Hong;Kang, Eon Jong;Yang, Hyeon;Kim, Kwang Sug;Choi, Wung Sun
    • Korean Journal of Environmental Biology
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    • v.30 no.4
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    • pp.319-327
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    • 2012
  • This paper was the result of investigation on fish fauna of natural estuary at Seomjin River, Korea. The total number of fish species collected in this study was 68 species belonging to 26 families. Dominant species in number was Acheilognathus majusculus (relative abundance: 37.4%), subdominant was Tribolodon hakonensis (10.5%). There were seven migrating fishes including Anguilla japonica and T. hakonensis. There were twenty Korean endemic species including Acheilognathus koreensis and Acheilognathus somjinensis. Thirty five species belonging to eight families were collected in upper part of river that dominant species was A. majusculus (38.2%). Thirty seven species were collected in lower part of river that dominant species was A. majusculus (48.5%). Thirty four species were collected in near estuary that dominant species was T. hakonensis (42.6%). In the comparison result of condition factor for several main species populations of Seomjin River were better than Nagdong River populations having estuary barrage. It was considered that almost fish populations of mid-to lower Seomjin River without estuary bank have stable life with natural environment.

Lightweight Design of an Outer Tie Rod Using Meta-Model Based Optimization Technique (메타모델기반최적화를 이용한 아우터타이로드의 경량화 설계)

  • Kim, Young-Jun;Park, Soon-Hyeong;Lee, Kwon-Hee;Park, Young-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7754-7760
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    • 2015
  • The outer tie rod is one of the part of steering system, the optimization process was executed to find the lightweight design. The inner tie rod was considered in the optimum design of an outer tie rod. it could be closer to the test condition than in the case of considering outer tie rod only. The aluminum forging material was considered as a weight reduction proposal. The target of optimization was the shape of the minimum weight to resist at the load of buckling. RSM and Kriging interpolation method were applied as a optimization method to consider the nonlinear shape optimization problem. Then, 16.3%, 16.6% of weight reduction was obtained from the result comparing with that of the initial model. The results of meta model optimization was compared with that of finite element method. The error values of buckling load estimation were 2.6%, 2.04%. and those of weight estimation were 0.17%, 0.13%. Therefore, it seemed that the result of Kriging model could be obtained closer to optimum value than that of RSM model.

고수동굴의 동굴지형적 고찰

  • 서무송
    • Journal of the Speleological Society of Korea
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    • v.2 no.2
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    • pp.7-8
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    • 1976
  • 고수동굴명은 원래 고수동명에서 유래된 것이나 시대의 변천을 따라 키큰풀 藁가 예 古로 변한 것 뿐이다. 이 마을의 역사를 더듬어 보면, 멀리 임진왜란(1592)과 연관된 전설일화가 있으니, 한양을 떠나 피난길에 오른 밀양박씨 형제분중 아우는 청주에 정착하고 형은 안식처를 찾아 계속남하중 말의 발병으로 키큰풀이 우거진 이곳에 정착하여 고수라 부른 것이 오늘의 고수리의 기원이며 밀양박씨 13대손 박노환씨가 거주하고 있다. (중략)

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게임산업진흥법- 게임산업진흥법안의 허와 실

  • Lee, Taek-Su
    • Digital Contents
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    • no.11 s.138
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    • pp.64-66
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    • 2004
  • 문화관광부는 음반비디오물및게임물에관한법률을 장르별로 별도 입법화한다는 방침을 세우면서 게임산업의진흥에관한법률제정안을 발표했다. 게임산업진흥법은 산업진흥을 위한 문화진흥을 기치로 내걸고 있다는 점에서 높이 평가할 만하지만, 진흥법이라고 하기에는 규제 조항이 지나치게 많고 예산조달 항목이 없다는 한계성도 갖고 있다. 탄생 자체만으로 의미가 있다고 볼 수 있으나, 동전의 양면을 하나의 법에 아우르려하고 있다는 점에서 위험성도 내재돼 있는 것이다.

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ZOOM-IN - (주)싸이펨 민제홍 대표이사 취임 인터뷰

  • 한국광학기기산업협회
    • The Optical Journal
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    • s.177
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    • pp.28-29
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    • 2020
  • 미국 Synopsys의 광학 설계 분석 소프트웨어의 국내 판매와 기술지원, 교육, 광학설계 컨설팅 서비스와 기하광학에서 파동광학까지 폭넓게 아우르는며, LightTools(조명), CODE V(렌즈), LucidShape(자동차 조명), RSoft(나노 사이즈 광학구조) 네 가지 분야 소프트웨어와 광학 설계 솔루션을 보유한 광학 전문기업 (주)싸이펨이 지난 1월 민제홍 대표이사가 새로 취임하며 변화를 꾀하고 있다.

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Consumers' Attitude toward Care Label Instructions and Care of Winter Outerwear (겨울 아우터웨어의 품질표시에 대한 소비자 태도와 관리)

  • Han, Ho-Jung;Chung, Haewon
    • Journal of the Korean Society of Clothing and Textiles
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    • v.38 no.6
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    • pp.942-952
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    • 2014
  • Winter outerwear includes various clothes such as classical jackets/coats, padded jackets/coats, wind breakers, leather and fur jackets/coats. This research surveyed care-label instructions attached to 100 jackets/coats dropped off at five drycleaners in the Gyungin area. University students' perception and attitudes towards care labels and management of winter outerwear were examined using a questionnaire. Data collected from 230 respondents were analyzed by frequency analyses, t-tests, ANOVAs and Duncan tests with PASW 20.0. Half of the padding jackets/coats were labelled to be dry cleaned and dry cleaning was more excessively labelled than necessary. University students confirmed more care symbols than fiber compositions such as more at time of cleaning than at purchasing. Clothing-related major students understood care label symbols better than non-clothing major students. Consumers laundered some winter outerwear at home, even though they thought dry cleaning was a proper cleaning method. The appropriate cleaning method for padded jackets/coats is laundering; however, consumers who answered dry cleaning as an appropriate method were three times as those who answered washing, and those performed dry cleaning were two times as those who performed washing. Winter outerwear manufacturers should provide adequate and more specified care-information to consumers in order to maintain initial appearance and performance over longer periods.

The Sutability of VR Artwork as an Immersive Learning Tool (몰입적 학습 도구로서의 VR 예술작품의 적합성)

  • Rhee, Boa;Kim, Jusub
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.223-226
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    • 2016
  • 본 논문은 최근 출시된 반 고흐 VR 예술작품의 2D 및 3D 콘텐츠에 대한 경험을 분석했다. 두 가지의 콘텐츠에서 쾌락적 특성이 강하게 나타났으며, 원작의 재생산된 작품으로서가 아니라 새로운 창작물로 인지되었다. 콘텐츠의 일반적 특성과 마찬가지로, 몰입감의 경우에도 2D 보다는 3D 콘텐츠에 대한 평가가 더욱 긍정적으로 이루어졌으며, 두 가지의 콘텐츠에서 가장 높게 평가된 몰입감 요인은 주의집중력으로 제시되었다. 특히 3D 콘텐츠의 경우, 다감각적 촉진은 가상공간에서의 현존감(presence)과 관련된 육체적 움직임에 대한 역동성에 영향을 미쳤으며, 원작에 대한 현존감은 가상공간에서의 현존감과 몰입감으로 대체되었다. 3D 기반의 콘텐츠는 학습에 대한 내재적 동기부여를 비롯, 그룹 토의의 활성화, 예술작품 및 작가에 대한 관심 증가 등의 몰입형 학습 도구로서의 효용성이 유의미하게 나타났다. 비록 2D 및 3D 콘텐츠의 몰입학습을 위한 도구로서의 적합성이 예술작품에 대한 감상 및 해석도구로서의 적합성보다 높게 제시되기는 했지만, 예술작품의 진정성과 아우라라는 관점에서 보면 '회화적 동일성'은 존재했지만 콘텐츠의 재창조적 특성으로 인해 '미학적 동일성'은 보장되지 못했다. 이러한 현상은 VR 예술작품의 콘텐츠 제작 목적의 상이함 뿐만 아니라 기술적 정교함 및 예술적 전문성 결여에 기인한다.

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Sales Forecasting Model for Apparel Products Using Machine Learning Technique - A Case Study on Forecasting Outerwear Items - (머신 러닝을 활용한 의류제품의 판매량 예측 모델 - 아우터웨어 품목을 중심으로 -)

  • Chae, Jin Mie;Kim, Eun Hie
    • Fashion & Textile Research Journal
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    • v.23 no.4
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    • pp.480-490
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    • 2021
  • Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.