• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.3790-3803
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• 2018

Content-based image retrieval is an approach used to query images based on their semantics. Semantic based retrieval has its application in all fields including medicine, space, computing etc. Semantically generated binary hash codes can improve content-based image retrieval. These semantic labels / binary hash codes can be generated from unlabeled data using convolutional autoencoders. Proposed approach uses semi-supervised deep hashing with semantic learning and binary code generation by minimizing the objective function. Convolutional autoencoders are basis to extract semantic features due to its property of image generation from low level semantic representations. These representations of images are more effective than simple feature extraction and can preserve better semantic information. Proposed activation and loss functions helped to minimize classification error and produce better hash codes. Most widely used datasets have been used for verification of this approach that outperforms the existing methods.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2001년도 디지털 방송기술 워크샵
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• pp.335-354
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• 2001

.Next Generation Multimedia Streaming Technology Massive Scale Support $\rightarrow$ Clustered Solution Adaptive to Heterogeneous Network daptive to Heterogeneous Terminal Capability Presentation Technique .SMART Server Architecture .HERMES File System .Clustered Solution . High Speed Storage Interconnect .' Content Partitioning . Load Management . Support for Heterogeniety . Adaptive End to End Streaming Transport: Unicast vs. Multicast '. Scalable Encoding

• Journal of Nutrition and Health
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• 제26권6호
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• pp.661-671
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• 1993

The change in fatty acid composition in brain tissue of the second generation rats(Sprague-Dawley strain) was studied using four different fat diets(Corn oil=CO, Soybean oil=SO, Perilla oil=PO, Fish oil=FO, 10% by Wt). The experimental diets were started from pregnancy in four different groups, each consisting of 9 rats. The seound generation rats were fed the same diet as their mothers. Animals were anesthetized with ether at 0, 3, 9 & 16 weeks of age. Whole brains were dissected out, brain tissues were, then, homogenized and lipids were extracted from brain tissues. The fatty acid compositions were measured after methylation by gas-liquid chromatography at 0, 3, 9 and 16 weeks of age of offspring. The changes in the relative concentrations of polyunsaturated fatty acids(PUFA) or more specifically docosahexaenoic acid(22 : 6, $\omega$3, DHA), the major $\omega$3 fatty acid component in rat brain at different age were similar to changes in the amount of DNA in brain tissue showing the maximum value during the lactation. The changes in saturated fatty acid(SFA) content showed a contrasting patten to those of PUFA, while monounsaturated fatty acid(MUFA) increased steadily throughout the experimental period. At birth, the relative concentrations of $\omega$3 series fatty acids the relative concentrations of PUFA, MUFA and SFA converged to very similar values respectively regardless of the dietary fatty acid compositions. In brain tissue, it is of value to note that while changes in relative concentrations of linoleic acid (18 : 2, $\omega$6, LA) and arachidonic acid(20 : 4, $\omega$6, AA) showed a precursor-product-like relationship, $\alpha$-linolenic acid(18 : 3, $\omega$3, $\alpha$-LnA) and DHA showed a different pattern. Even when the $\omega$3 fatty acid content in very low in maternal diet(CO), the second generation rat brain tissues appeared to secure DHA content, suggesting an essential role of this fatty acid in the brain. The fact that a large amount of $\alpha$-LnA in the maternal diet did not have a significant effect on the second generation rat brain $\alpha$-LnA content, indicated that DHA seemed essential component for the brain development in our experimental condition. In all groups, the relative content of $\alpha$-LnA in the brain tissues remained relatively constant throughout the experimental period at the very low level. The study of the specific concentrations and essential role(s) of DHA in each parts of brain tissue is needed in more details.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(4)
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• pp.35-38
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• 2000

The method of Content-based Triangular Mesh Image representation in moving pictures makes better performance in prediction error ratio and visual efficiency than that of classical block matching. Specially if background and objects can be separated from image, the objects are designed by Irregular mesh. In this case this irregular mesh design has an advantage of increasing video coding efficiency. This paper presents the techniques of mesh generation, motion estimation using these mesh, uses image warping transform such as Affine transform for image reconstruction, and evaluates the content based mesh design through computer simulation.

• 스마트미디어저널
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• 제1권1호
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• pp.10-16
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• 2012

3차원 영상은 기본적으로 양안식 혹은 다시점 카메라를 이용해 촬영되며, 3차원 공간의 정보를 실시간적으로 얻기 위해 깊이 센서도 함께 사용된다. 이렇게 얻어진 영상은 잡음과 왜곡 제거, 깊이 생성, 중간 시점 합성 등의 3차원 영상처리 기술을 이용하여 3차원 입체영상 콘텐츠로 제작된다. 실감방송은 다양한 실감 콘텐츠를 이용하여 시청자가 마치 현장에 있는 것과 같은 생생함을 느끼게 해주는 차세대 방송이며, 3차원 입체영상 콘텐츠는 실감방송을 위한 가장 기본적인 미디어로 사용된다. 본 논문에서는 다양한 카메라 시스템을 이용하여 3차원 영상을 촬영하고 편집하여 실감방송을 위한 3차원 콘텐츠를 제작하는 연구의 국내외 기술동향을 살펴보고 주요 기술을 소개, 비교 및 분석한다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2004년도 추계학술대회 논문집
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• pp.1034-1037
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• 2004

The goal of this paper is to develop a system which provides infotainment services for the healthy life of the elderly. First, we define the infotainment services for the elderly, and then determine the infotainment contents and categories related to the infotainment service. In order to provide the infotainment service, we define several modules as follow: user representation, contents generation, contents personalization, provision and learning manager. Finally we develop a pilot system which is based on the proposed framework.

• 한국대기환경학회지
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• 제31권4호
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• pp.368-377
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• 2015

Bunker C fuel oil is a high-viscosity oil obtained from petroleum distillation as a residue. The sulfur content of bunker C fuel oil is limited to 4.0% or even lower to protect the environment. Because bunker C fuel oil is burned in a furnace or boiler for the generation of heat or used in an engine for the generation of power, carbon dioxide is emitted as a result of combustion. The objective of this study is to investigate $CO_2$ emission characteristics of bunker C fuel oil by sulfur contents. Calorific values and carbon contents of the fuels were measured using the oxygen bomb calorimeter method and the CHN elemental analysis method, respectively. Sulfur and hydrogen contents, which were used to calculate the net calorific value, were also measured and then net calorific values and $CO_2$ emission factors were determined. The results showed that hydrogen content increases and carbon content decreases by reducing sulfur contents for bunker C fuel oil with sulfur contents less than 1.0%. For sulfur contents between 1.0% and 4.0%, carbon content increases as sulfur content decreases but there is no evident variation in hydrogen content. Net calorific value increases by reducing sulfur contents. $CO_2$ emission factor, which is calculated by dividing carbon content by net calorific value, decreases as sulfur content decreases for bunker C fuel oil with sulfur contents less than 1.0% but it showed relatively constant values for sulfur contents between 1.0% and 4.0%.

• Journal of Information Technology Applications and Management
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• 제20권1호
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• pp.53-66
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• 2013

Social reason was mostly the motivation for using Facebook among Generation Y, but results on Generation X were still inconclusive due to limited studies. By using content analysis of 93 participants' written statements gathered on April to May 2012, this study compared motivations among Facebookers from two generations. The study finds that Generation X and Y shared similar motivations. The majority of both generations use Facebook to keep in touch with their friends, as well as to seek updated information. A smaller number use Facebook for entertainment, online business, and self-expression. In addition, participants were willing to continue using Facebook in the future despite the fact that they had Twitter accounts.

• 한국콘텐츠학회논문지
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• 제5권2호
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• pp.243-250
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• 2005

무선 인터넷 시장이 급속히 성장함에 따라 모바일 콘텐츠에 대한 수요가 급증하고 있다. 사용자에게 서비스되고 있는 모바일 콘텐츠는 텍스트나 음성과 같은 단일 미디어 콘텐츠에서 멀티미디어 콘텐츠로 변화하고 있다. 향후 이동전화와 광대역 통신 기술이 발전함에 따라 개인의 개성을 보다 잘 표현할 수 있는 멀티미디어 콘텐츠 개발이 더욱 활발해 질 것이다. 이러한 콘텐츠 발전의 한 예로 통화연결음 콘텐츠 서비스를 들 수 있다. 통화연결음 콘텐츠 서비스는 기존의 단순한 통화연결음에서 개인의 취향에 따라 다양한 음악으로 변경해주는 서비스로 발전하였다. 본 논문에서는 차세대 모바일 콘텐츠 서비스를 위한 멀티미디어 인사말 시스템을 설계하고 구현한다. 제안하는 시스템은 통화연결음 콘텐츠 서비스를 발전시켜 개인의 개성을 나타낼 수 있도록 다양한 멀티미디어 콘텐츠를 이용하여 직접 멀티미디어 인사말을 제작한다.

• 한국게임학회 논문지
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• 제18권2호
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• pp.89-98
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• 2018

최근의 인공 신경망(Neural Network) 기법은 전통적인 분류 문제와 군집화 문제 해결에서 벗어나 이미지 생성 같은 컨텐츠 생성에서도 좋은 성능을 보이고 있다. 본 연구에서는 차세대 컨텐츠 생성 기법으로 인공신경망을 이용한 이미지 생성기법을 제안한다. 제안하는 인공신경망 모델은 두개의 이미지를 입력받아서 하나의 이미지에서는 색상을, 다른 이미지에서는 모양을 가져와 새로운 이미지로 조합해낸다. 이 모델은 컨볼루션 인공신경망(Convolutional Neural Network)으로 제작되었으며 각각 이미지에서 색상과 모양을 추출해내는 두 개의 인코더와 각 인코더의 값을 모두 넘겨받아 하나의 조합이 되는 이미지를 생성해내는 하나의 디코더로 구성이 되어있다. 본 연구의 성과는 저비용으로 게임 개발 프로세스 상 다양한 2차원 이미지 생성 및 보정 작업에 활용될 수 있다.