• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2001년도 하계학술대회 논문집
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• pp.419-422
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• 2001

The electrical properties of Pr$_{6}$O$_{11}$-based ZnO varistors composed of ZnO-Pr$_{6}$O$_{11}$-CoO-Cr$_2$O$_3$-Dy$_2$O$_3$- based ceramics were investigated with CoO content in the range of 0.5~5.0 mol%. As CoO content is increased, the average grain size and the density were increased in the range of 9.86~27.22 $\mu$m and in the range of 5.25-5.55 g/cm$^3$, respectively. The varistor voltage was decreased in the range of 235.32~86.01 V/mm due to the increase of average grain size with CoO content. The varistors doped with CoO in the rage of 1.0~2.0 mol% exhibited a high nonlinearity, in which is above 55 in the nonlinear exponent and below 1.5 $\mu$A in the leakage current. Increasing CoO content further greatly decreased the nonlinearity.ity.ity.

• 반도체디스플레이기술학회지
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• 제13권2호
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• pp.45-52
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• 2014

This paper proposes an efficient photo retrieval system that automatically indexes for searching of relevant images, using a combination of geo-coded information, direction/location of image capture device and content-based visual features. A photo image is labeled with its GPS (Global Positioning System) coordinates and direction of the camera view at the moment of capture, and the label leads to generate a geo-spatial index with three core elements of latitude, longitude and viewing direction. Then, content-based visual features are extracted and combined with the geo-spatial information, for indexing and retrieving the photo images. For user's querying process, the proposed method adopts two steps as a progressive approach, filtering the relevant subset prior to use a content-based ranking function. To evaluate the performance of the proposed scheme, we assess the simulation performance in terms of average precision and F-score, using a natural photo collection. Comparing the proposed approach to retrieve using only visual features, an improvement of 20.8% was observed. The experimental results show that the proposed method exhibited a significant enhancement of around 7.2% in retrieval effectiveness, compared to previous work. These results reveal that a combination of context and content analysis is markedly more efficient and meaningful that using only visual feature for image search.

• 한국콘텐츠학회논문지
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• 제8권2호
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• pp.1-8
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• 2008

사용자가 정보를 효율적으로 이용할 수 있도록 제어하고 필터링하는 일을 도와주는 정보 시스템이 등장하였다. 내용 기반 필터링은 아이템의 특징을 기술하는 정보와 사용자의 기호를 가지고 있는 프로파일을 비교하여 사용자에게 필요한 정보를 추천하는 방법이다. 이는 학습 방법에 따른 정확도가 변한다는 문제점이 있다. 본 논문에서는 내용 기반 필터링을 위한 프로파일 학습에 의한 선호도 발견을 제안하였다. 문제점을 개선하기 위해서 6단계로 평가한 선호도에 따른 추정치를 부여하여 프로파일 학습을 함으로써 추천의 정확도를 향상시켰다. 제안한 방법을 MovieLens 데이터에 적용하여 실험 및 평가를 실시하였는데, 기존 연구와 비교 실험을 통해 성능을 평가하였다.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제10권10호
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• pp.399-406
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• 2021

콘텐츠 산업의 꾸준한 성장에 따라 수많은 콘텐츠 중에서 개인의 취향에 적합한 콘텐츠를 자동으로 추천하는 연구의 필요성이 증가하고 있다. 콘텐츠 자동 추천의 정확도를 향상시키기 위해서는 콘텐츠에 대한 사용자의 선호 이력을 바탕으로 하는 기존 추천 기법과 더불어 콘텐츠의 메타데이터 및 콘텐츠 자체에서 추출할 수 있는 특징을 융합한 추천 기법이 필요하다. 본 연구에서는 음악의 소리 데이터로부터 태그 정보를 분류하는 LSTM 기반의 모델을 학습하고 분류된 태그 정보를 음악의 메타 데이터로 추가하여, 그래프 임베딩 시 콘텐츠의 특징까지 고려할 수 있는 KPRN 기반의 새로운 콘텐츠 추천 방법을 제안한다. 카카오 아레나 데이터 기반 실험 결과, 본 연구의 제안 방법은 기존의 임베딩 기반 추천 방법보다 우수한 추천 정확도를 보였다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1616-1616
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• 2001

To select kernels for breeding that have required constituent content from either naturally distributed samples or artificially mutated ones, it is necessary to process batch samples in a short time. The constituent content of single-kernel grains such as wheat and rice has been determined using conventional bench type NIR instruments; however, it takes a lot of time and effort. Shizuoka Seiki (Fukuroi-city, Japan) and NFRI (National Food Research Institute) of MAFF (Ministry of Agriculture, forestry and Fisheries of Japan) have jointly developed a continuous high-speed single-kernel brown rice sorting machine based on rice protein content. It consists of several sections such as a feeding mechanism, measuring unit, sorting mechanism and controlling PC. The feeding mechanism picks up single-kernel brown rice from the hopper (maximum of 5kg storage capacity) and sends it to the measuring unit. A spectrum of the brown rice is obtained in the measuring unit, which consists of a near-infrared array sensor. The brown rice is then sorted in the sorting mechanism based on its protein content estimated by the controlling PC. In the present study, measuring speed was approximately 500ms for the full spectrum range and overall sorting speed was approximately 2.8s for one kernel. Accuracy of estimation was approximately SEP=0.5% of dry matter protein content for nonglutinous rice.

• 한국컴퓨터산업학회논문지
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• 제2권12호
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• pp.1591-1600
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• 2001

웹 기반 코스웨어들이 많이 개발되고 있다. 그러나, 기존에 개발된 대부분 웹 기반 코스웨어들은 학습자들에게 항상 같은 교수 방법을 제공하므로 학습자들의 다양한 요구를 수용하는데 부족한 면이 있다. 학습자들이 개별적으로 가장 적합한 교수 방법으로 학습한다면 학습 효율을 높일 수 있을 것이다. 본 연구에서는 학습자의 개인차를 고려하면서 다양한 학습 방법을 제공하고, 교수 시스템은 교수 방법 중에서도 학습자에게 효율성이 높다고 생각되는 교수 방법을 학습자에게 추천하도록 하고, 학습자는 선호하는 방법을 선택하여 학습하도록 하였다. 평가모듈은 개개인의 응답에 대하여 개별적인 피드백을 주었다. 그리고 이 프로토타입 시스템을 대학1학년을 대상으로 적용하여 본 시스템의 교육적 효과를 입증하였다.

• International Journal of Contents
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• 제10권3호
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• pp.9-16
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• 2014

Depth-image-based rendering is generally used in real-time 2D-to-3D conversion for 3DTV. However, inaccurate depth maps cause flickering issues between image frames in a video sequence, resulting in eye fatigue while viewing 3DTV. To resolve this flickering issue, we propose a new 2D-to-3D conversion scheme based on fast and robust depth-map generation from a 2D video sequence. The proposed depth-map generation algorithm divides an input video sequence into several cuts using a color histogram. The initial depth of each cut is assigned based on a hypothesized depth-gradient model. The initial depth map of the current frame is refined using color and motion information. Thereafter, the depth map of the next frame is updated using the difference image to reduce depth flickering. The experimental results confirm that the proposed scheme performs real-time 2D-to-3D conversions effectively and reduces human eye fatigue.

• Journal of Information Science Theory and Practice
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• 제2권3호
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• pp.6-17
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• 2014

The purpose of this study is to examine to what extent the context in which people interact with online information affects people's credibility perceptions. In this study, credibility assessment is defined as perceptions of credibility relying on individuals' expertise and knowledge. Context has been characterized with respect to three aspects: Context as user goals and intentions, context as topicality of information, and context as information activities. The data were collected from two empirical studies. Study 1 was a diary study in which 333 residents in Michigan, U.S.A. submitted 2,471 diary entries to report their trust perceptions associated with ten different user goals and nine different intentions. Study 2 was a lab-based study in which 64 subjects participated in performing four search tasks in two different information activity conditions - information search or content creation. There are three major findings of this study: (1) Score-based trust perceptions provided limited views of people's credibility perceptions because respondents tended to score trust ratings consistently high across various user goals and intentions; (2) The topicality of information mattered more when study subjects assessed the credibility of user generated content (UGC) than with traditional media content (TMC); (3) Subjects of this study exerted more effort into making credibility judgments when they engaged in searching activities than in content creation. These findings indicate that credibility assessment can or should be seen as a process-oriented notion incorporating various information use contexts beyond simple rating-based evaluation. The theoretical contributions for information scientists and practical implications for web designers are also discussed.

• Elastomers and Composites
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• 제35권3호
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• pp.215-226
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• 2000

고무 조성비가 다른 카본블랙으로 보강된 고무 배합물의 가황 특성을 연구하였다. 한 가지 고무로 이루어진 고무 배합물, 두 가지 고무로 이루어진 고무 배합물, 그리고 세 가지 고무로 이루어진 고무 배합물을 실험 대상으로 삼았다. NR/BR과 SBR/BR 배합물 중에서 BR의 함량이 높은 것의 델타토크는 단일 고무 배합물의 경우보다 높다. 삼중 고무 배합물의 델타 토크의 경우에는 세가지 고무의 함량비가 유사할수록 델타 토크가 낮아졌다. 스코치 시간과 적정 가황 시간은 NR이 증가할수록 빨라졌고 SBR이 증가할수록 느려졌다. 가황 속도는 SBR 함량이 증가할수록 느려졌다. 가교 역전(reversion) 현상은 SBR 함량이 증가할수록 감소하였다.

• 인간식물환경학회지
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• 제24권2호
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• pp.209-218
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• 2021

Background and objective: Instagram, an image-based social media, is being used as an important outlet for the communication and place marketing of public spaces. The purpose of this paper was to analyze how types of place-based content affect user reactions (Likes and Comments) on Instagram in order to provide basic data on the operation and utilization of social media by public places such as botanical gardens and arboretums. Methods: A total of 850 posts uploaded to the Instagram account of Kew Gardens from November 6, 2014 to July 3, 2020 were classified using 14 subject codes. Multiple regression analysis was performed to evaluate the user's reaction between the dependent variables ("Likes", "Comments") and the independent variables (14 subject codes). Results: The findings showed that user reactions appear to differ depending on the typology of the content, and "Likes" and "Comments" were presented in independent behavioral reactions. In particular, "close-ups of plants (botanic, macro)," "plant colony (botanic, wide)," "place-specific landscape (building, landscape)," "anniversary" and "information" showed positive impacts on both "Likes" and "Comments"which could lead to electronic word-of-mouth and content sharing. Conclusion: Based on these findings, it can be argued that the typology of a botanical garden's content can be used to determine factors that affect the immediate reactions and enhance engagement with users.