• 한국조리학회지
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• 제7권3호
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• pp.99-109
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• 2001

다양한 분야에서 시도된 문화 교류 중, 가장 성공적인 혼합은 바로 음식문화의 결합으로 동서양의 맛을 혼합한 Fusion 음식이라고 할 수 있다. Fusion 음식은 세계적인 추세를 보더라도 국내에서 잠시 유행하다가 사라져버릴 장르의 요리는 결코 아니며, 오히려 더욱 다양한 형태의 Fusion 음식을 표방하는 레스토랑들이 생겨날 것이다. Fusion음식이 국적 없는 음식으로서 전통의 맛을 죽인다는 비판도 있지만, 올바른 Fusion 음식은 그저 무국적 음식이 아니라 오히려 전통의 맛을 이어가면서 발전시키는 다음 단계로 보는 것이 정확 할 것이다. Fusion 음식은 결국 여러 나라의 식문화를 합친 결과로, 각 나라의 기본적인 식문화에 바탕을 둔 조리기법이다. 다시 말해서 Fusion 음식의 뿌리는 수백 수 천년을 거슬러 올라가 각 나라의 전통음식이라고 할 수 있으며 오히려 동.서양의 기본적인 조리기법을 완벽하게 숙달해야만 성공적인 Fusion 음식을 구연할수 있는 것이다. 국내에는 이러한 기본적인 원칙이 무시된 채 급하게 도입되면서 현재 다소 침체된 느낌이지만 이 같은 단계를 통하여 발전될 것이고, 이러한 바람직한 경쟁과 연구를 통해 선진국에 비해 현실적으로 현저하게 뒤떨어져 있는 한국의 식문화 수준도 높아질 것이다. 그러나 아무리 새로운 음식과 재료가 쏟아져 들어온다 하더라도 그것을 주체적으로 소화해낼 수 있는 문화적 잠재력이 없다면 "Fusion" 이 라는 것도 단지 한때 흘러가는 하나의 유행일 수밖에 없다. 따라서 한국적인 Fusion 요리의 개발을 통하여 외국인들에게 거부감 없이 쉽게 한국의 맛을 전하고 한국음식의 세계화를 보다 효과적으로 이룰 수 있어야 할 것이다. 특히 된장, 고추장, 김치 등 발효음식의 특성을 살린 Fusion 음식을 개발해 한식의 세계 상품화를 시도해야할 시점이다.

• 한국음향학회지
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• 제23권5호
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• pp.410-419
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• 2004

본 논문에서는 베이시안에 기반한 신뢰도 융합 기법을 제안한다. 음성인식에서 신뢰도는 인식 결과에 대한 신뢰의 정도를 말하며, 인식 결과가 맞는 지의 여부를 판단할 수 있다. 개별 신뢰도 기법의 신뢰도 값을 융합하여 최종 판단을 내리는 집중형 융합 방식과 개별 신뢰도 기법의 판단 결과들을 융합하는 분산형 융합의 두 가지 방식에 대해 최적의 베이시안 융합규칙이 제시되었다. 고립단어 인식에서의 미등록어 거절 실험 결과 집중형 베이시안 신뢰도 융합 기법은 개별 신뢰도 기법에 비해 13% 이상의 상대적인 에러 감소 효과를 보였으나, 분산형 베이시안 융합은 성능의 향상을 보이지 못했다.

• 한국초전도ㆍ저온공학회논문지
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• 제15권4호
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• pp.6-9
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• 2013

Korea Superconducting Tokamak Advanced Research (KSTAR) has a helium refrigeration system (HRS) with the cooling capacity of 9 kW at 4.5 K. Main cold components are composed of 300 tons of superconducting (SC) magnets, main cryostat thermal shields, and SC current feeder system. The HRS comprises six gas storage tanks, a liquid nitrogen tank, the room temperature compression sector, the cold box (C/B), the 1st stage helium distribution box (DB#1), the PLC base local control system interconnected to central control tower and so on. Between HRS and cold components, there's another distribution box (DB#2) nearby the KSTAR device. The entire KSTAR device was constructed in 2007 and has been operated since 2008. This paper will present the maintenance result of the KSTAR HRS during the campaign and discuss the operation record and maintenance history of the KSTAR HRS.

• 한국식생활문화학회지
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• 제23권2호
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• pp.204-213
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• 2008

In this age of information ruled by new technologies and knowledge, the world is interconnected as a single community, and within this trend of globalization, new cultural codes are emerging through temporal fusion between the past and the present and spatial fusion between different regions and countries. In this situation, it seems meaningful to review Korean fusion foods and restaurants serving such foods, as well as to consider their future directions. Thus, the objective of the present study was to survey and analyze Korean fusion restaurants representing Korean culture not only in Korea, but also in foreign cities, and to identify the expression characteristics of such restaurants. Based on restaurants recommended in relevant magazines and on Internet sites, 18 spaces were selected, visited, and surveyed, in which tradition and modernism were well-mixed. Data on the shapes, materials, colors, and patterns of spatial elements and food-related elements, including photographs, were collected and analyzed. The results are as follows. Of the 18 restaurants, 13 (72%) showed temporal fusion in both spatial and food-related elements, 4 showed temporal fusion in spatial elements and cultural fusion in food-related elements, and 1 showed cultural fusion in both spatial and food-related elements. In general, the spaces were mainly designed with modern elements and partially with traditional elements (ceilings, windows, furniture, articles), and the fusion of food-related elements was made in diverse forms that included temporal fusion restructuring traditional menus contemporarily, and cultural fusion harmonizing traditional food with Western cookery.

• 기술혁신연구
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• 제14권3호
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• pp.93-116
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• 2006

This study provides a quantitative forecasting method to identify promising fusion technology and it also applies the method based on patent analysis to IT. This study defines fusion technology, promising technology, fusion index, promising index and promising fusion technology. From the analysis, this study found that the next generation computer network is the most promising in IT area. This result is consistent with the forecasts made by the interviews and discussion of experts.

• 대한전기학회논문지:시스템및제어부문D
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• 제51권9호
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• pp.389-401
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• 2002

To complement the conventional fusion methodologies of state fusion and measurement fusion, a time-propagated measurement fusion methodology is proposed. Various aspects of common process noise are investigated regarding information preservation. Based on time-propagated measurement fusion methodology, four compression filters are derived. The derived compression filters are efficient in asynchronous sensor fusion and fault detection since they maintain correct statistical information. A new batch Kalman recursion is proposed to show the optimality under the time-propagated measurement fusion methodology. A simple simulation result evaluates estimation efficiency and characteristic.

• 상하수도학회지
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• 제26권3호
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• pp.343-354
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• 2012

A electro-foaming fusion wrap fitting for polyethylene sewer pipe was built and foaming mechanism has been studied. A foaming sheet, supporting sheet and clamping band is assembled into a all-in-one structured electro-foaming fusion wrap fitting. To specify foaming and fusion of electro-foaming fusion wrap for PE sewer pipe, series of fusion tests were performed in various conditions. A parallel plate compression test up to 50 % of inner diameter deflection has been performed to check integrity of fusion quality and it was found that there were no visible signs of crack in wrapped area of fitting. Also air tightness test based on KS M 3511-2 has been performed to evaluate perfectness of wrap fusion quality and we found there were no pressure drop up to 10 times higher value than KS standard regulation.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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• pp.1627-1630
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• 2008

We have demonstrated a flexible and full-color OTFT-OLED display. The display has a top-emitting pixel structure with a resolution of 80 ppi, which can be achieved by developed integration architecture of OTFTs. The 0.3-mm-thick flexible display exhibits peak brightness over 100 nit with a contrast ratio greater than 1000:1.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 1999년도 추계학술대회
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• pp.421-424
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• 1999

In this short report (before the authors would like to introduce an important application for one of the techniques of complex angular momentunm, say, Regge Pole approach, to nuclear fusion reaction for Light-ions: it will be reported in forthcoming papers), two kinds of thermalnuclear fusion reaction sources are introduced and discussed (A) the case of fusion: the production of neutron and target of Deuteron and (B) the case of fusion: the production of proton and target of Deuteron. Nuclear fusion reactions for Light-ions , such as the thermalnuclear energy sources and fuel cycles, are already well known. Fusion reactions are widely known as being extremly important and nationally vital (in point of view of nuclear weapons we must reconsider seriously development and building of such dangerous weapons) for our next generations in the future. This paper (a topics in review) is concerned with a simple introduction about a new nuclear fusion reaction of the above case of (B) for the second generation. Typical thermalnuclear fusion reactions which result in the release of huge amount of energy are nuclear stripping reactions:

• International journal of advanced smart convergence
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• 제12권4호
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• pp.88-97
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• 2023

Traffic flow prediction is of great significance in urban planning and traffic management. As the complexity of urban traffic increases, existing prediction methods still face challenges, especially for the fusion of spatiotemporal information and the capture of long-term dependencies. This study aims to use the fusion model of graph neural network to solve the spatio-temporal information fusion problem in traffic flow prediction. We propose a new deep learning model Spatio-Temporal Information Fusion using Graph Neural Networks (STFGNN). We use GCN module, TCN module and LSTM module alternately to carry out spatiotemporal information fusion. GCN and multi-core TCN capture the temporal and spatial dependencies of traffic flow respectively, and LSTM connects multiple fusion modules to carry out spatiotemporal information fusion. In the experimental evaluation of real traffic flow data, STFGNN showed better performance than other models.