• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.202-209
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• 2023

In the 21st century, the dualistic worldview of the Cold War era collapsed and we entered an era of new creation and fusion. The fusion of different designs between East and West, the design activities of traditional clothing from the past, the use of new materials that are continuously being developed, and the mixing of unique items are being conducted in various fields. However, research is being conducted by combining fusion characteristics with hair. In addition, the period is short and the amount of research is small. Therefore, this study analyzed hairstyles of fusion images shown in hair collection using data of Juno Hair collection from 2013 to 2022 as analysis data and examined types of fusion images shown in the work of folk images, mixed images, and future images. Oriented images were divided into three categories and analyzed. In this study, we added Results of such research can be used not only as data for predicting future fashion trends, but also as basic data for exploring new design developments. In future research, it is expected that convergent research will be conducted, such as analyzing fusion images from an integrated perspective.

• 한국의상디자인학회지
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• 제13권2호
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• pp.133-146
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• 2011

The purpose of this study is to analyze the fusion phenomenon that appears in contemporary women's denim fashion in order to find a way to come up with a creative denim design. The methodology of this study is to research documents related to fusion phenomena and consider precedent studies to establish a criteria for analyzing fusion phenomena. The results are as follows: First, fusion phenomena in modern women's denim can be categorized into fusion of time, fusion of space, fusion of gender, fusion of culture, and fusion of genre. Fusion of time appears as fusion with the past and fusion with the future. Fusion of space appears as fusion with Asia and fusion with other regions. Fusion of gender appears as unisex, androgynous, and genderless. Fusion of culture appears as fusion with subcultures such as grunge, kidult, lingerie, hippy look, hip hop fashion, etc. Finally, fusion of genre appears as fusion of materials, fusion of style, and fusion of circumstances. Second, when analyzing the frequency of appearance for fusion phenomena, fusion of culture appeared with a frequency of 29.7%, followed by fusion of genre with 19.1%, fusion of time with 10.5%, fusion of gender with 9.9%, and fusion of space with 8.5%. When analyzing the most frequently appearing fusion phenomena by year, fusion of culture appeared the most from the year 2000 to 2004, fusion of space and time in 2005, fusion of genre from 2006 to 2007, fusion of culture again in 2008 and 2009, and once more fusion of genre appeared the most in 2010.

• 한국정보처리학회논문지
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• 제6권10호
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• pp.2728-2739
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• 1999

This paper proposes an effective fusion algorithm for retrieval results from heterogeneous information sources in federated digital libraries. The algorithm determines the population of documents retrieved from involved information sources for a given query and evaluates the degree of relevance between the query and the population. The evaluated results are used as relevance distribution information for collection fusion. The main informations used for the fusion are relevance distribution among collections, the population size N, and ranking information of relevant documents in their origin. We also present th performance evaluation of the algorithm by developing the prototype of a meta-searcher.

• 한국정보과학회논문지:데이타베이스
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• 제28권3호
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• pp.406-417
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• 2001

웹에서의 멀티미디어 데이터베이스가 발달함에 따라 분산 멀티미디어 데이터에 대한 검색 기능의 필요성이 높아지고 있다. 그러나 지금까지는 주로 웹상에 분산된 텍스트 데이터베이스를 선택하고 선택된 텍스트 데이터베이스에 대해소 질의 결과를 결합하는 연구가 이루어졌을 뿐 멀티미디어 데이터베이스에 대해서는 연구가 미진하였다. 웹상의 멀티미디어 데이터베이스는 자율적이고 이질적인 특성을 가지고 있고 주로 내용 기반으로 검색된다. 멀티미디어 데이터베이스에서의 수집 융합 문제는 웹상의 이질적인 멀티미디어 데이터베이스에서 내용 기반 검색으로 검색된 경과를 병합하는 것을 다룬다. 이 문제는 분산 멀티미디어 데이터베이스의 검색에 매우 중요하지만 아직까지 연구된 바가 없다. 본 논문은 웹상에서 이질적인 멀티미디어 데이터베이스의 수집 융합을 처리하는 새로운 알고리즘을 제안한다. 본 논문은 데이터베이스에서 검색할 객체의 개수를 추정하는 휴리스틱 방법과 선형 회귀분석을 이용한 알고리즘을 사용한다. 그리고 실험에 의해서 이 알고리즘들의 효율성을 보였다. 이 알고리즘들은 향후 웹상의 멀티미디어 데이터베이스들에 대한 분산 내용 기반 검색 알고리즘들의 기본이 될 수 있다.

• Molecules and Cells
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• 제25권3호
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• pp.446-451
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• 2008

We assessed heterologous protein expression in 64 strains obtained from the Escherichia coli Reference (ECOR) collection, a collection representing diverse natural E. coli populations. A plasmid generating a glutathione S-transferase and plant carbonic anhydrase fusion protein (GST-CA) under the control of the tac promoter was introduced into the ECOR strains, and the quantity of the fusion protein was determined by SDS-PAGE. The foreign protein was generated at various levels, from very high (40 strains, high producers) to very low (six strains, low producers). Immunoblotting showed that the high producers expressed approximately 250-500 times more GST-CA protein than the low producers. The results of semi-quantitative RT-PCR showed that the low producers generated mRNA levels comparable to those of the high producers, thereby suggesting that, at least in this case, inefficient translation is a major cause of the low production. We introduced a different plasmid, which expressed a maltose binding protein and plant guanylate kinase fusion protein (MBP-GK) into the six low producers. Interestingly, five of these expressed MBP-GK at very high levels. Thus, we conclude that the production of a particular protein from an expression vector can vary considerably, depending on the host strain. Strains in the ECOR collection could function as useful alternative hosts when a desired level of protein expression is not obtained from commonly used strains, such as E. coli K12 or B derivatives.

• 센서학회지
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• 제26권1호
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• pp.1-6
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• 2017

The advanced driver assistant system (ADAS) requires the collection of a large amount of information including road conditions, environment, vehicle status, condition of the driver, and other useful data. In this regard, large-scale sensor networks can be an appropriate solution since they have been designed for this purpose. Recent advances in sensor network technology have enabled the management and monitoring of large-scale tasks such as the monitoring of road surface temperature on a highway. In this paper, we consider the estimation and fusion problems of the large-scale sensor networks used in the ADAS. Hierarchical fusion architecture is proposed for an arbitrary topology of the large-scale sensor network. A robust cluster estimator is proposed to achieve robustness of the network against outliers or failure of sensors. Lastly, a robust hierarchical data fusion scheme is proposed for the communication channel between the clusters and fusion center, considering the non-Gaussian channel noise, which is typical in communication systems.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2010년도 춘계학술발표대회
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• pp.1062-1065
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• 2010

Plasma 물성 데이터는 Plasma내에서 일어나는 입자(전자, 원자, 이온, 분자 등)들의 충돌에 대한 데이터로써 Plasma 발생 장치 설계 및 제어의 핵심 요소이며, Plasma 공정조건 확립을 위한 필수 정보가 된다. 참조표준은 과학기술데이터나 정보에 대하여 정확도와 신뢰도에 대한 분석 및 평가가 이루어진 공인데이터를 말한다. 이러한 플라즈마 물성 정보를 체계적으로 관리하고 신뢰성 있는 데이터를 필요로 하는 산업체에 지원하기 위하여 특정 참조표준과 참조데이터로 제정, 보급하는 Plasma 물성 참조표준 수집평가 시스템이 필요하고, 이에 대한 설계가 필요하다.

• 한국전자통신학회논문지
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• 제19권1호
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• pp.189-196
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• 2024

지능형 선별 관제 시스템의 잦은 오탐지로 인해 관제 요원들의 업무 능률 및 시장 신뢰도 저하 문제가 꾸준히 보고되고 있다. 오탐지 문제 개선을 위해 새 AI 모델을 개발하거나 교체하는 것은 기회비용이 크므로, 훈련 데이터 세트 품질을 향상하여 문제를 개선하는 것이 현실적이다. 그러나 소규모 조직은 데이터 세트 수집 및 정제 역량이 부족한 실정이다. 이에 본 논문에서는 사람 자세 추정 모델을 중심으로 엣지 디바이스와 카메라 센서 퓨전을 활용한 사람 자세 데이터 자동 수집 시스템을 제안한다. 이 시스템은 네트워크 말단에서 현장 데이터를 직접 수집하고 레이블링하는 과정을 실시간으로 처리하도록 만들어, 중앙으로 집중되는 연산 부하를 분산시킨다. 또한 현장 데이터를 직접 레이블링하므로 새로운 훈련 데이터 구축에 도움을 준다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.647-648
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• 2008

Traditional FTL and flash file systems based of NAND flash memory may not be adaptively applied to new fusion flash memory which combines the advantages of NAND and NOR flash memory. In this paper, we propose a FTL performance measurement tool using Multi Block Erase function of fusion flash memory. The performance measurement tool shows that multi block erase function can be effectively utilized in performance enhancement of garbage collection for fusion flash memory.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제6권4호
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• pp.314-320
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• 2006

Navigation in environments that are densely cluttered with obstacles is still a challenge for Autonomous Ground Vehicles (AGVs), especially when the configuration of obstacles is not known a priori. Reactive local navigation schemes that tightly couple the robot actions to the sensor information have proved to be effective in these environments, and because of the environmental uncertainties, STSF(Space and Time Sensor Fusion)-based fuzzy behavior systems have been proposed. Realization of autonomous behavior in mobile robots, using STSF control based on spatial data fusion, requires formulation of rules which are collectively responsible for necessary levels of intelligence. This collection of rules can be conveniently decomposed and efficiently implemented as a hierarchy of fuzzy-behaviors. This paper describes how this can be done using a behavior-based architecture. The approach is motivated by ethological models which suggest hierarchical organizations of behavior. Experimental results show that the proposed method can smoothly and effectively guide a robot through cluttered environments such as dense forests.