• 제목/요약/키워드: Highlight

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홍삼분말을 첨가한 설기떡의 품질특성 (Quality Characteristics of Sulgidduk Containing Added Red Ginseng Powder)

  • 신승미;정정숙;한명륜;김애정;김영호
    • 한국식품조리과학회지
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    • 제25권5호
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    • pp.586-592
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    • 2009
  • Sulgidduk samples containing 2, 4, and 8% red ginseng powder and a control[ED highlight - consider specifying what the control was, if 0%, then change to Sulgidduk samples containing 0(control), 2, 4 and 8%] were examined for moisture content, color, gelatinization properties, textural characteristics, and sensory qualities to determine the optimal ratio of red ginseng powder in the formulation. The moisture contents among the samples did not differ significantly. Specifically, they ranged from 39.64 to 40.69%, and increased as the red ginseng powder content increased. Additionally, the lightness decreased and the yellowness and redness increased as the red ginseng powder content increased. Evaluation of the gelatinization properties revealed that the, peak viscosity(P), hold viscosity(H), final viscosity(F), setback, and time to peak viscosity decreased with increasing red ginseng powder content, but the breakdown and temperature to peak viscosity did not differ significantly among samples[ED highlight - please ensure my changes are correct]. The hardness and adhesiveness decreased with increasing red ginseng powder content, as did the cohesiveness, gumminess, and chewiness; however, the springiness did not differ significantly among samples. Sulgidduk containing 4% red ginseng received the highest scores for flavor, taste, texture and overallquality. Based on the above results of the sensory and texture analyses, Sulgidduk containing 4% red ginseng had the highest quality[ED highlight - please ensure my changes are correct].

채팅과 오디오의 다중 시구간 정보를 이용한 영상의 하이라이트 예측 (Video Highlight Prediction Using Multiple Time-Interval Information of Chat and Audio)

  • 김은율;이계민
    • 방송공학회논문지
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    • 제24권4호
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    • pp.553-563
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    • 2019
  • 최근 개인방송 플랫폼을 통해 업로드 되는 콘텐츠가 증가함에 따라 시청자의 편의를 위해 하이라이트 영상을 제공하는 서비스에 대한 수요가 증가하고 있다. 이에 본 논문에서는 영상의 하이라이트 위치를 자동으로 예측하는 모델을 제안한다. 제안하는 모델은 채팅과 오디오 정보를 이용하며 양방향 LSTM을 사용해 영상의 흐름을 이해한다. 또한 콘텐츠의 종류에 따라 단기적 흐름과 함께 중장기적 흐름을 파악하는 다중 시구간 모델도 함께 제안한다. 제안한 모델은 개인방송 플랫폼을 통해 중계된 e스포츠와 야구경기 영상들을 이용하여 평가하였으며, 다중 시구간 정보를 활용하는 것이 하이라이트 예측에 유용함을 보였다.

Osteoimmunology: A Brief Introduction

  • Greenblatt, Matthew B.;Shim, Jae-Hyuck
    • IMMUNE NETWORK
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    • 제13권4호
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    • pp.111-115
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    • 2013
  • Recent investigations have demonstrated extensive reciprocal interactions between the immune and skeletal systems, resulting in the establishment of osteoimmunology as a cross-disciplinary field. Here we highlight core concepts and recent advances in this emerging area of study.

THE PARKES PULSAR TIMING ARRAY PROJECT

  • HOBBS, GEORGE
    • 천문학논총
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    • 제30권2호
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    • pp.577-581
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    • 2015
  • The main goals of the Parkes Pulsar Timing Array (PPTA) project are to 1) detect ultra-low-frequency gravitational waves, 2) improve the solar system planetary ephemeris and 3) provide a long-term, stable time standard. In this paper, we highlight the main results from the project so far and discuss our expectations for the future.

CONSTRUCTION MANAGEMENT KNOWLEDGE IN PREPARING AND RESOLVING CONSTRUCTION CLAIMS

  • Ting-ya Hsieh
    • 국제학술발표논문집
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    • The 1th International Conference on Construction Engineering and Project Management
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    • pp.681-686
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    • 2005
  • This paper discusses the role of construction management (CM) profession in claims management. It reviews the attitudes, psychology and practices relevant to CM knowledge. It is the purpose of this paper to highlight CM profession's knowledge in this area as this profession's core competence in contemporary construction.

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Deep Learning the Large Scale Galaxy Distribution

  • Sabiu, Cristiano G.
    • 천문학회보
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    • 제45권1호
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    • pp.49.3-49.3
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    • 2020
  • I will give an overview of the recent work in deriving cosmological constraints from deep learning methods applied to the large scale distribution of galaxies. I will specifically highlight the success of convolutional neural networks in linking the morphology of the large scale matter distribution to dark energy parameters and modified gravity scenarios.

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