• 제목/요약/키워드: Select Content

검색결과 549건 처리시간 0.024초

Learning based relay selection for reliable content distribution in smart class application

  • Kim, Taehong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권8호
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    • pp.2894-2909
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    • 2015
  • As the number of mobile devices such as smart phones and tablets explodes, the need for new services or applications is also rapidly increasing. Smart class application is one of the emerging applications, in which most of contents are distributed to all members of a class simultaneously. It is highly required to select relay nodes to cover shadow area of radio as well as extend coverage, but existing algorithms in a smart class environment suffer from high control packet overhead and delay for exchanging topology information among all pairs of nodes to select relay nodes. In addition, the relay selection procedure should be repeated in order to adapt to the dynamic topology changes caused by link status changes or device's movement. This paper proposes the learning based relay selection algorithm to overcome aforementioned problems. The key idea is that every node keeps track of its relay quality in a fully distributed manner, where RQI (Relay Quality Indicator) is newly defined to measure both the ability of receiving packets from content source and the ability of successfully relaying them to successors. The RQI of each node is updated whenever it receives or relays broadcast packet, and the node having the higher RQI is selected as a relay node in a distributed and run-time manner. Thus, the proposed algorithm not only removes the overhead for obtaining prior knowledge to select relay nodes, but also provides the adaptability to the dynamic topology changes. The network simulation and experimental results prove that the proposed algorithm provides efficient and reliable content distribution to all members in a smart class as well adaptability against network dynamics.

비디오 셧으로부터 영역, 모션 및 퍼지 이론을 이용한 계층적 대표 프레임 선택 (Hierarchical Keyframe Selection from Video Shots using Region, Motion and Fuzzy Set Theory)

  • 강행봉
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제27권5호
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    • pp.510-520
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    • 2000
  • 내용 기반의 비디오 인덱싱 및 검색을 위해서는 비디오 데이타를 셧(shot)으로 분할하고, 또 각 셧을 나타내는 대표 프레임을 선택하는 것이 필요하다. 하지만, 대표 프레임을 선택하는 것은 주관적이어서 일관되게 자동적으로 대표 프레임을 선택하는 것은 쉬운 문제가 아니다. 본 논문에서는 각 프레임에서의 영역을 바탕으로한 컨텐트 정보 및 시간 축 상의 변화를 이용하여 계층적으로 대표 프레임을 선택하는 방법을 제안한다. 먼저, 비디오 셧에서 카메라 모션을 검출하여 이에 따라 비디오 셧을 분류한다. 다음, 분류된 비디오 셧에 컨텐트의 중요도를 계산하기 위한 퍼지 규칙을 적용하여 대표 프레임을 선택한다. 끝으로, 선택되는 대표 프레임의 수는 브라우징 상세도(detailness)에 따라 계층적으로 선택되게끔 한다.

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조건불리지역 대상지 선정을 위한 기준에 관한 연구 (A Study on a Criteria for a Domain Selection of Less-Favored Area)

  • 엄대호;한경수;전택기
    • 농촌계획
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    • 제8권3호
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    • pp.15-23
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    • 2002
  • The study was performed to establish a criteria which can be served as a reference in preparing upland direct payment program in Korea, by analyzing WTO agreement content and by studying about direct payment program in EU and Japan and by slope analysis using GIS. Slope analysis using GIS was operated by 1/5000 digital map, and a field survey was put in practice, and merits and demerits were deduced. We can propose a criteria to select the disadvantaged areas in aspects of physical condition, farming condition. and economical and social condition is important to regionally classify "less-favored area(LFA)" and LFA division by economical and social condition is needed to identify legally. Therefore, we would propose a criteria which can select "less-favored area" by analyzing WTO agreement content and by studying about direct payment program in EU and Japan and slope analysis using GIS and a field survey.

A Self-selection of Adaptive Feature using DCT

  • Lim, Seung-in
    • 한국컴퓨터정보학회논문지
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    • 제5권3호
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    • pp.215-219
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    • 2000
  • The purpose of this paper is to propose a method to maximize the efficiency of a content-based image retrieval for various kinds of images. This paper discuss the self-adaptivity for the change of image domain and the self-selection of optimal features for query image, and present the efficient method to maximize content-based retrieval for various kinds of images. In this method, a content-based retrieval system is adopted to select automatically distinctive feature patterns which have a maximum efficiency of image retrieval in various kinds of images. Experimental results show that the Proposed method is improved 3% than the method using individual features.

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Combining Collaborative, Diversity and Content Based Filtering for Recommendation System

  • Shrestha, Jenu;Uddin, Mohammed Nazim;Jo, Geun-Sik
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2007년도 추계학술대회
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    • pp.602-609
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    • 2007
  • Combining collaborative filtering with some other technique is most common in hybrid recommender systems. As many recommended items from collaborative filtering seem to be similar with respect to content, the collaborative-content hybrid system suffers in terms of quality recommendation and recommending new items as well. To alleviate such problem, we have developed a novel method that uses a diversity metric to select the dissimilar items among the recommended items from collaborative filtering, which together with the input when fed into content space let us improve and include new items in the recommendation. We present experimental results on movielens dataset that shows how our approach performs better than simple content-based system and naive hybrid system

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시흥 Cu-Pb-Zn 광산 주변에서의 중금속원소들의 분산 및 존재형태와 흡착처리 (Dispersion, Speciation and Adsorption Treatment of Heavy Metals in the Vicinity of the Shi-Heung Cu-Pb-Zn Mine)

  • 황호송;전효택
    • 자원환경지질
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    • 제28권5호
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    • pp.455-467
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    • 1995
  • In order to investigate the dispersion patterns and speciations of Cu, Pb, Zn and Cd in soils, stream sediments and stream waters, geochemical studies of soil, stream sediment and stream water samples collected in the vicinity of the Shi-Heung Cu-Pb-Zn mine was carried out Cation exchange capacity measurement, size analysis, X-ray diffraction analysis and batch test were performed to select applicable soil for adsorption treatment The average content of Cu, Pb, Zn and Cd in soils collected from tailings and ore dressing plant is 1084 ppm, 2292 ppm, 3512 ppm and 29.2 ppm, respectively, and therefore, tailings and ore dressing plant site may be the major contamination sources in this study area. The mean content of Cu, Pb, Zn and Cd in stream sediments is extremely high up to 794 ppm, 1633 ppm, 2946 ppm and 25.2 ppm, respectively. Tailing particles and heavy metal ions are dispersed along the tributary system. Results from the sequential extraction analysis indicate; (1) most of Cu is bound to organic matters and sulphides, (2) fraction of Pb is mainly bound to Fe and Mn oxides. Most of Zn is largely bound to Fe and Mn oxides and residual fraction. Ion exchangeable fraction of Cd is relatively higher than those of Cu, Pb and Zn. Batch test on soils collected from the kaolinite and/or pyrophyllite mines and from the control areas was carried out to select an applicable soil samples for adsorption treatment The sample, S10, collected from the control area 2 (clay content 33.2%) shows the highest $K_d$ (distribution coefficient). Organic content in soils and several clay minerals shows relatively good correlation with $K_d$. It means that applicable soils for adsorption treatment of heavy metals show high organic and clay content.

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1인 미디어 크리에이터의 MCN 선택 동기와 창작자로서 불만족 요인에 대한 연구 (Research on Creator's Motivation to Select MCN and Dissatisfaction Factor as a Content Creator)

  • 유수정;이영주;유홍식
    • 한국콘텐츠학회논문지
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    • 제18권8호
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    • pp.62-72
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    • 2018
  • 본 연구는 1인 미디어 콘텐츠의 활성화를 모색하기 위해 구독자 10만 명 미만을 가진 초기 크리에이터를 대상으로 MCN 선택 동기와 콘텐츠 창작자로서 겪는 어려움, 지원 요구사항을 설문조사를 통해 분석하였다. 연구결과, 크리에이터들이 MCN을 선택하는 동기는 콘텐츠 제작과 유통에 대한 지원 및 수익 배분에 대한 만족 때문인 것으로 나타났다. 그러나 MCN을 불신하거나 독자 운영이 가능한 크리에이터는 독립적으로 활동하고 있었다. 크리에이터들은 공통적으로 해외 진출의 어려움을 인식하고 있었다. MCN에 소속되지 않은 크리에이터들은 콘텐츠 마케팅과 유통을, MCN 소속 크리에이터들은 해외 시장진출을 가장 어렵다고 인식하고 있었다. 또한, 소속 여부에 상관없이 동영상 플랫폼의 이용자 확대, 수익성에 대해 만족도가 낮았다. 성별에 있어서 여성 크리에이터들은 영상제작 수월성과 동영상 플랫폼의 작업 편리성에 대한 만족도가 떨어지는 것으로 나타났다. 초기 크리에이터들은 공통적으로 제작비 지원과 제작시설과 같은 인프라 구축을 필요로 하고 있었으며 특히 마케팅이나 해외 진출에 대한 공적 지원에 대한 요구가 크게 나타났다.

모싯잎의 육성 계통별 성분 함량, 항산화 및 ACE 저해 활성 (Component Content, Antioxidant and ACE Inhibitory Activity of Ramie (Leaf Boehmeria nivea M.) according to Breeding Lines)

  • 이종국;이정;조희제;윤혜경;김명석
    • 한국식품영양학회지
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    • 제31권2호
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    • pp.229-235
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    • 2018
  • Ramie (Boehmeria nivea M.) has been used for fiber materials in Korea traditionally, but in recent years, the concern with ramie leaves for the food industry such as tteok (a kind of Korean rice cake) industry has been increasing, so a study for eatable ramie is required for the expansion of ramie consumption. Moreover, the ramie varieties for the food industry are not established, so the natural species are cultivated in general; therefore, it is very important to select the ramie varieties for the food industry such as rice cakes, tea, beverage and so on. This study was undertaken to compare the physiochemical properties among 9 ramie lines selected in the Yeonggwang-gun Agricultural Technology Center to select the eatable ramie varieties for the food industry. The contents of the protein among 9 ramie lines was 6.21~7.56% and had the highest content in the YG55. The folic acid (folate) and vitamin C content had varying differences among the 9 lines; the content of folate showed $771.52{\sim}1,978.84{\mu}g%$, that of vitamin C showed 149.42~275.34 mg%. The ACE inhibitory activity appeared to be the highest in YG88 (21.5%) among the 9 ramie varieties tested.

YCbCr 컬러모델 기반의 키프레임 추출을 통한 티저 영상 제작 방법에 대한 연구 (A Research on the Teaser Video Production Method by Keyframe Extraction Based on YCbCr Color Model)

  • 이서영;박효경;용성중;유연휘;문일영
    • 실천공학교육논문지
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    • 제14권2호
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    • pp.439-445
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    • 2022
  • 온라인 미디어 플랫폼의 발전 및 코로나19 사태로 디지털 영상 콘텐츠의 양산과 소비가 급증하고 있다. 이용자들은 디지털 영상 콘텐츠를 선택하기 위해 썸네일, 티저 영상 등을 통하여 짧은 시간에 콘텐츠를 파악하고 본인에게 맞는 디지털 영상 콘텐츠를 선정하여 시청하고 있다. 세계 곳곳에서 생산되는 모든 디지털 영상 콘텐츠를 일일이 확인하고, 이용자가 선택할 수 있게 티저 영상을 수작업으로 편집하는 것은 매우 불편한 작업이다. 본 연구에서는 티저 영상을 자동으로 생성하기 위해 YCbCr 컬러 모델을 기반으로 키프레임을 추출하고, 클러스터링 기법을 통해 추출된 키프레임을 최적화한다. 마지막으로 최종 추출된 키프레임을 연결하여 사용자들의 디지털 영상 콘텐츠 확인을 도와 주기 위한 티저 영상을 제작하는 방법을 제시한다.

A Study on the Optimum Mix Proportion of the Stabilizing Liquid Used for Excavation of the Deep and Massive Slurry Wall

  • Kwon Yeong-Ho
    • KCI Concrete Journal
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    • 제14권4호
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    • pp.151-159
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    • 2002
  • This study investigates experimentally the optimum mix proportion and design factors of the stabilizing liquid used for excavation of the massive and deep slurry wall in LNG in-ground tank before pouring concrete. Considering those site conditions, the stabilizing liquid used for excavation of slurry wall has to be satisfied with some requirements including specific gravity, fluid loss, cake thickness, funnel viscosity and sand content in order to construct the safe and qualified slurry wall. For this purpose, we select materials including bentonite, polymer and dispersion agent. After performing many tests for materials and mix design process, we propose the optimum mix proportion that the upper limit ratio of bentonite is $2.0\%$, polymer is $0.1\%$ considering the funnel viscosity and dispersion agent is $0.05\%$considering the fluid loss of the stabilizing liquid. Also, we select all materials which are consisted of GTC4 as bentonite, KSTP as polymer and Bentocryl 86 as dispersion agent. Based on the results of this study, the optimum mix proportion of the stabilizing liquid is applicable to excavate the deep and massive slurry wall in LNG in-ground tank successfully.

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