• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2008년도 춘계 종합학술대회 논문집
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• pp.712-716
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• 2008

중국의 독특한 회화예술언어를 형성하고 있는 전통 수묵화는 현대 포스터디자인을 비롯한 다양한 시각디자인분야와 결합하여 커뮤니케이션 메시지의 전달 뿐만 아니라, 작품을 감상하는 이들에게 먹과 붓, 농담을 통해 중국 전통의 사유(思惟)철학까지 함께 전하고 있다. 본 연구에서는 중국에서 수묵화기법을 사용하고 있는 포스터를 종류별로 분류하여 각 종류의 포스터에서 어떻게 수묵기법이 주로 활용되고 있는지 분석하였다. 또한 다양하게 사용되는 포스터의 수묵화 기법을 수묵이미지표현, 수묵필법표현, 수묵필치표현으로 분류하고 각 표현법별 특징을 분석하도록 하였다.

• 대한원격탐사학회지
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• 제35권1호
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• pp.83-92
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• 2019

Land cover (LC) is an important factor in socioeconomic and environmental studies. According to various studies, a number of LC maps, including global land cover (GLC) datasets, are made using polar orbit satellite data. Due to the insufficiencies of reference datasets in Northeast Asia, several LC maps display discrepancies in that region. In this paper, we performed a feasibility assessment of LC mapping using Geostationary Ocean Color Imager (GOCI) data over Northeast Asia. To produce the LC map, the GOCI normalized difference vegetation index (NDVI) was used as an input dataset and a level-2 LC map of South Korea was used as a reference dataset to evaluate the LC map. In this paper, 7 LC types(urban, croplands, forest, grasslands, wetlands, barren, and water) were defined to reflect Northeast Asian LC. The LC map was produced via principal component analysis (PCA) with K-means clustering, and a sensitivity analysis was performed. The overall accuracy was calculated to be 77.94%. Furthermore, to assess the accuracy of the LC map not only in South Korea but also in Northeast Asia, 6 GLC datasets (IGBP, UMD, GLC2000, GlobCover2009, MCD12Q1, GlobeLand30) were used as comparison datasets. The accuracy scores for the 6 GLC datasets were calculated to be 59.41%, 56.82%, 60.97%, 51.71%, 70.24%, and 72.80%, respectively. Therefore, the first attempt to produce the LC map using geostationary satellite data is considered to be acceptable.

• Journal of Multimedia Information System
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• 제6권2호
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• pp.49-60
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• 2019

Plants are very crucial for life on Earth. There is a wide variety of plant species available, and the number is increasing every year. Species knowledge is a necessity of various groups of society like foresters, farmers, environmentalists, educators for different work areas. This makes species identification an interdisciplinary interest. This, however, requires expert knowledge and becomes a tedious and challenging task for the non-experts who have very little or no knowledge of the typical botanical terms. However, the advancements in the fields of machine learning and computer vision can help make this task comparatively easier. There is still not a system so developed that can identify all the plant species, but some efforts have been made. In this study, we also have made such an attempt. Plant identification usually involves four steps, i.e. image acquisition, pre-processing, feature extraction, and classification. In this study, images from Swedish leaf dataset have been used, which contains 1,125 images of 15 different species. This is followed by pre-processing using Gaussian filtering mechanism and then texture and color features have been extracted. Finally, classification has been done using Multiclass-support vector machine, which achieved accuracy of nearly 93.26%, which we aim to enhance further.

• 천문학회보
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• 제43권2호
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• pp.59.2-59.2
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• 2018

We introduce a new project of constructing a large spectro-photometric samples of metal-poor (i.e. [Fe/H] < -1.0) subdwarfs in the Galactic halo. The sample is collected from a compilation of the stellar objects that are cross-identified both in the Sloan Digital Sky Survey (SDSS) and recently published data from GAIA mission. The color range of the selected stars covers 0.0 < (g-r) < 2.0; thus the spectral types of our sample span from early F- through late K-type stars on the metal-poor main sequence (i.e. the local subdwarf sequence). We scrutinized the physical, chemical, and kinematical properties of our samples using their SDSS medium-resolution (R ~ 2000) spectra, combined with accurately measured proper motions from GAIA satellite. Our study will provide useful information on the global trend in the various properties (e.g. abundance pattern as a function of the galactocentric distance; rotational velocity vs [Fe/H] ${\cdots}$ etc) of the metal-poor subdwarf populations in the Galactic halo, which is ultimately important to better understand metal-poor stellar evolutionary models and chemical evolution of the Milky Way halo in the early phase of its formation. Further our comprehensive catalog of the Galactic field halo subdwarfs collected in this study will serve a solid groundwork for future follow-up high resolution spectroscopic observations on many interesting individual targets.

• ETRI Journal
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• 제45권5호
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• pp.847-861
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• 2023

Dynamic object detection is essential for ensuring safe and reliable autonomous driving. Recently, light detection and ranging (LiDAR)-based object detection has been introduced and shown excellent performance on various benchmarks. Although LiDAR sensors have excellent accuracy in estimating distance, they lack texture or color information and have a lower resolution than conventional cameras. In addition, performance degradation occurs when a LiDAR-based object detection model is applied to different driving environments or when sensors from different LiDAR manufacturers are utilized owing to the domain gap phenomenon. To address these issues, a sensor-fusion-based object detection and classification method is proposed. The proposed method operates in real time, making it suitable for integration into autonomous vehicles. It performs well on our custom dataset and on publicly available datasets, demonstrating its effectiveness in real-world road environments. In addition, we will make available a novel three-dimensional moving object detection dataset called ETRI 3D MOD.

• Animal Systematics, Evolution and Diversity
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• 제40권2호
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• pp.130-134
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• 2024

The family Velutinidae is found in various intertidal and subtidal habitats worldwide including Arctic and Antarctic seas. They are characterized by possessing a fragile shell that is partially or entirely covered by the mantle. Eight valid species of the genus Coriocella have been reported mostly in the Indo-West Pacific. Here we report Coriocella jayi Wellens, 1996 from Korean waters for the first time and describe details of their external morphology and radula characteristics using scanning electron microscopy, and provide the mtDNA cox1 sequence as a DNA barcode sequence information. This species is distinguished from other congeneric species by having six cylinder-shaped tubercular lobes of their dorsal part of mantle body and mantle color. Phylogenetic tree using the mtDNA cox1 sequence data shows that two Coriocella species (C. jayi and C. nigra) are grouped as their respective sister among Velutinidae species, and these relationships are strongly supported by 100% bootstrap value. Despite the morphological similarities, further investigation will be needed to confirm whether the African and Korean populations can be justified as the same species with a disconnected distribution range, or represent morphologically similar but two distinct species.

• 문화기술의 융합
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• 제4권2호
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• pp.191-196
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• 2018

최근 소비자의 취향이 다양해지고 소비패턴이 변화하며 상품 포장디자인이 점차 발전한다는 것을 체감할 수 있다. 상품 포장디자인은 내용물을 정확하게 알 수 있게 만들어져야 하고 소비자의 눈길을 끌어 상품을 구매하고 싶도록 만드는 매력을 가지고 있어야 한다. 또한 상품디자인은 소비자들에게 시각적 효과를 유도한 그래픽 요소와 더불어 브랜드 네이밍, 패키지 레이아웃, 내용물 표현방법, 맛을 상상할 수 있는 색감 등에 따라 구매의욕을 일으켜야 한다. 상품의 포장디자인에서 내용물에 대한 이미지를 한 눈에 알 수 있게 표현한 그래픽 요소는 상품의 부가가치를 높이고 소비자의 구매동기 유발이나 유통의 합리화를 이루는 가장 핵심적인 요소라 할 수 있다. 본 연구는 축산상품에서 시각정보 메타데이터를 이용한 시각정보 심벌 이미지에 대한 연구이며 다양한 축산 포장에 대한 사례를 살펴보고 메타데이터 요소로 축산 이미지를 한 눈에 알 수 있게 표현한 그래픽 요소를 제시하여 축산상품에 활용하고자 한다. 축산 상품의 프리미엄화를 추구하고, 브랜드 가치를 높이며 차별화된 디자인 전략으로 경제적 효과와 더불어 축산 시장 활성화를 위한 가능성을 제시하고자 한다.

• 복식
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• 제57권3호
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• pp.78-89
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• 2007

The objectives of this research were to investigate the relationships between purchase motives and post-purchase satisfaction of cosmetics at internet shopping malls, and to reveal how cosmetic purchase motives and demographic variables influence to the post-purchase satisfaction. Subjects were 202 females in Seoul who had experiences of cosmetic shopping at internet. Five dimensions of cosmetic purchase motives at internet shopping malls were derived by factor analysis: 'information provision', 'service/quality', 'time saver', 'use convenience', and 'economical efficiency'. Consumers showed relatively high cosmetic purchase motives at internet shopping malls because the prices of on-line shopping mall products were cheaper than those of off-line, and because it was easy to compare various products at internet shopping malls. The motive of 'information provision' had significant positive relationships with the satisfaction of price, quality, color, volume, and skin suitability of cosmetics. The motive of 'time saver' and 'use convenience' had positive relationships with the satisfaction of price and quality. The motives of 'service/quality' and 'use convenience' were higher in career women than in college women. The middle class consumers and the consumers who use internet more had a high 'information provision' motive in shopping cosmetics at internet. The post-purchase satisfaction of cosmetics was influenced most by the experience postscripts and next by economical efficiency, frequency of access to the internet cosmetic malls, and social class(-) in order.

• 한국공간정보시스템학회 논문지
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• 제10권2호
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• pp.13-24
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• 2008

차세대 실감 내비게이션 시스템은 2D 기반 내비게이션 시스템의 단점을 보완하고 보다 안전한 운전을 할 수 있도록 다양한 서비스를 제공하기 위해 연구되고 있다. 실감 내비게이션 시스템 차선인식과 도로시설물 객체 DB, 교차로 인식 모듈등의 기능 블록들로 구성된다. 본 논문에서는 실감내비게이션의 중요 요소 중 하나인 교차로 인식을 위한 신호등과 표지판 인식 시스템을 개발하였다. 개발된 알고리듬은 색상 정보를 이용해 인식 대상을 검출하고 객체의 특징을 이용하여 신호등과 표지판을 객체별로 인식할 수 있도록 하였으며 실험을 통해 검증하였다. 실험결과 신호등의 경우 60-30m의 거리에서 평균90%의 인식률을 보였으며, 표지판의 경우 90-40m의 거리에서 평균 97%의 인식률을 보였고, 프레임 당 평균 처리시간이 46msec로서 실시간 처리가 가능함을 보였다.

• 한국통신학회논문지
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• 제30권5C호
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• pp.406-414
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• 2005

디지털 컨텐츠, 특히 정보 집약성이 큰 특성으로 인해 가장 선호되는 영상/비디오 컨텐츠에 대한 저작권보호 기술의 필요성이 크게 대두되고 있다. 이러한 문제를 해결하기 위해 본 논문에서는 가장 비전 있는 기술로 인식되는 디지털 워터마킹 알고리즘을 제안하였다. 본 알고리즘은 MPEG 압축 시스템을 대상으로 하였고 워터마킹 과정은 압축 과정 중에 수행되며 워터마크는 I 프레임의 명암성분에 삽입된다. 실험 결과에서는 제안된 방법이 여러 공격에 대해서 비가시성과 강인성을 모두 만족하는 것을 보였고 워터마킹 과정을 수행한 압축된 이미지들과 수행하지 않은 압축된 이미지들(색차 포맷 Y:Cb:Cr=4:2:0을 사용하는 TM-5 기반 압축에 대해서 평균 압축률이 약 27:1 이었다)사이의 평균 PSNR의 차가 단지 1.8dB($4.2\%$)의 낮은 값이 측정되었다. 공격 후에 영상을 재사용할 수 있는 경우에 대해서는 추출된 워터마크와 원 워터마크의 정규화 상관도가 0.8 이상의 높은 값이 측정되었다.