• 제목/요약/키워드: growing media

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느타리버섯 볏짚 배지(培地)에 발생(發生)하는 유해균류(有害菌類) (Harmful Fungi Associated with Rice Straw Media for Growing of Oyster Mushroom, Pleurotus ostreatus.)

  • 신관철
    • 한국균학회지
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    • 제15권2호
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    • pp.92-98
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    • 1987
  • 느타리버섯 볏짚배지(培地)에 발생하는 유해균류(有害菌類)를 조사하고 그중 발생(發生) 및 피해(被害)가 큰 균류(菌類)의 배양적(培養的) 성질에 관한 실험을 실시한 결과를 요약하면 다음과 같다. 1. 느타리버섯 볏짚배지(培地)에서 12종류(種類)의 진균류(眞菌類)가 분리(分離)되었는데 그 중 Trichoderma, Aspergillus, Rhizopus 등은 발생빈도(發生頻度)가 높고 발생양(發生量)도 많았다. 2. 느타리버섯 볏짚배지(培地)에서는 7종(種)의 Trichoderma가 동정되었는데 발생빈도(發生頻度)는 T. pseudokoningii, T. aureoviride, T. viride, T. harzianum, T. koningii의 順이었다. 3. 유해균류(有害菌類)의 발생(發生)은 일반 버섯재배사(栽培舍)에서 재배회수(栽培回數)가 증가(增加)할수록 많았고 추기재배(秋期栽培)보다는 춘기재배(春期栽培)에서 심하였다. 4. 볏집추출배지(抽出培地) 및 느타리버섯 추출배지(抽出培地)에서 Trichoderma, Aspergillus, Rhzopus 등 공시한 균들의 균사생장과 분생포자의 형성이 양호한 결과를 보이므로서 볏짚배지(培地) 및 균상(菌床)의 버섯과 그 파열물들이 균류(菌類)의 발생(發生)에 알맞는 조건을 부여하였다. 5. Trichoderma spp.는 톱밥추출배지(抽出培地) 및 미강추출배지(米糠抽出培地)에서 생장(生長)이 극히 양호하여 균상(菌床)에 접종(接種)한 종균(種菌)은 균류(菌類)의 배지(培地)가 되었다.

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텍스트 마이닝을 활용한 ASMR 콘텐츠 분야에 따른 소비자 인식 및 구전효과 차이점 분석: ASMR 제품리뷰 및 ASMR How-to 콘텐츠 중심으로 (The User Perception in ASMR Marketing Content through Social Media Text-Mining: ASMR Product Review Content vs ASMR How-to Content)

  • ;최재원
    • 한국정보시스템학회지:정보시스템연구
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    • 제30권4호
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    • pp.1-20
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    • 2021
  • Purpose Nowadays, Autonomous Sensory Meridian Response (ASMR) is rapidly growing in popularity and increasingly appearing in marketing. Not even in TV commercial advertisement, ASMR also fast growing in one-person media communication, many brands and social media influencers used ASMR for their marketing contents. The purpose of this study is to measure consumers' perceptions about the products in ASMR marketing content and compare the differences in communication effect of ASMR content creator between product review and how-to in the same Macro tier influencer - the YouTuber that has 10,000-100,000 subscribers. Design/methodology/approach The research methods selected ASMRtist that do product review content and how-to content, Text comments data was collected from 200 videos of tech-device review videos and beauty-fashion videos. A total of 52,833 text comments were analyzed by applying the LDA topic modeling algorithm and social network analysis. Findings Through the result, we can know that ASMR is good at taking attention of viewers with ASMR triggers. In the Tech device reviews field, ASMR viewers also focus on the product like product's performance and purchase. However, there are many topics related to reaction of ASMR sound, trigger, relaxation. In the Beauty-fashion field, viewers' topics mainly focus on the reaction of the ASMR trigger, response to ASMRtist and other topics are talking about makeup - fashion, product, purchase. From LDA result, many ASMR viewers comment that they feel more comfortable when watching the marketing content that uses ASMR. This result has shown that ASMR marketing contents have a good performance in terms of user watching experience, so applying ASMR can take more consumer intention. And the result of social network analysis showed that product review ASMRtist have a higher communication effectiveness than how-to ASMRtist in the same tier. As an influencer marketing strategy, this study provides information to establish an efficient advertising strategy by using influencers that create ASMR content.

구강암 연구를 위한 동물실험모델의 개발(I) (MAKING IN VIVO MODEL TO STUDY ABOUT HUMAN ORAL CANCER (I))

  • 박형국;김용각
    • Maxillofacial Plastic and Reconstructive Surgery
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    • 제19권3호
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    • pp.300-310
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    • 1997
  • 편평상피세포암종은 악성종양 중 가장 중요한 비중을 차지하고 있는 암종이다. 하지만 편평상피세포암종의 세포주는 다른 악성종양에 비하여 아직까지 많이 개발되어지지 않았다. 또한 동물실험모델을 만들기 위한 이종이식에 있어서 편평상피세포암종은 매우 낮은 생착율을 보이고 있다. 구강암 중에서도 편평상피세포암종은 가장 많은 부분을 차지하나, 개발된 세포주는 그리 많지 않으며, 더 더욱이 동물실험 모델의 제작은 쉽지 않아, 새로운 치료 약제의 개발이나 치료 방법 개발 등에 많은 제약이 있어왔다. 본 실험에서는 수종의 구강 편평상피세포암종의 세포주를 배양하였고, 특별히 고안된 사육시설을 이용하여 BALB/C nude mice를 사육하였다. 여러 농도의 구강암 세포주를 nude mice의 등에 피하로 이식하였다. 어떤 세포주는 계속적인 성장을 보였으나 어떤 세포주는 완전히 흡수되기도 하였다. 5주 이상을 관찰하였으며, 이식된 종양의 크기를 측정하고, 부피를 계산하였다. 또한 또 다른 동물모델의 제작 방법으로서 특별히 고안된 cap을 nude mice의 등에 이식하고, 그 안에 구강암 세포주를 배지와 함께 이식하였으며, 1주 후에 cap을 제거하였고, 4주 이상을 관찰하였으며, 성장하는 종양의 모습과 크기를 관찰하였다. 본 연구는 구강암 연구에 적절한 동물실험모델을 개발하여 다른 악성종양에 비해 동물실험적으로 연구할 기회가 적었던 구강암 영역의 연구를 활발히 하며, 향후 한국인의 구강암연구에 가장 적절한 동물실험모델을 개발하여, 보다 진보된 구강암 치료방법의 개발 및 신약 등의 개발에 이용하기 위함이다.

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포스트 TV 시대의 텔레비전 시청 경험에 관한 질적 연구: 20대들과의 심층 인터뷰를 중심으로 (Television Viewing in the Post-TV Era: An In-depth Interview Study of Young People's Television Experiences)

  • 이동후
    • 한국언론정보학보
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    • 제60권
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    • pp.172-192
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    • 2012
  • 지난 십수 년 동안 텔레비전을 시청할 수 있는 플랫폼이 다양해지고 다양한 미디어 형식을 결합시킨 소비가 손쉽게 일어나며 국내 지상파 방송 프로그램 이외의 프로그램 자원이 풍부해지는 포스트 TV 시대가 전개된다. 이 연구는 미디어 환경 변화에 따라 텔레비전 시청 경험의 성격과 의미가 어떻게 달라지고 있는지를 주목해보고자 한다. 특히 월터 옹(Walter Ong)의 관계주의적 시각에서 현재의 텔레비전 시청 환경, 시공간 경험, 사회적 장소로서의 텔레비전, 텔레비전 시청의 의미와 위상 등을 구체적으로 관찰해보고자 한다. 이를 위해 29명의 20대에 대한 심층 인터뷰 조사를 진행하였고, 이러한 인터뷰 사례를 기초로 일상 속에 이용하는 커뮤니케이션 체계가 변화하면서 텔레비전의 의미와 적절성이 어떻게 바뀌고 있는지를 구체적으로 기술하고 이해해보고자 하였다. 이들의 사례는 텔레비전 시청 경로가 다변화되고 소셜 미디어 이용과 연결되면서 텔레비전 시청 개념이 확장되고 있음을 시사한다. 물리적, 상징적 '모이는' 장소로서의 텔레비전의 의미가 여전히 '잔존'하지만, '집단적인 개인화'와 '개인적 집단화' 라는 다양한 층위의 시청 경험이 만들어지고 있음을 보여주고 있다.

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Implementation of Object-based Multiview 3D Display Using Adaptive Disparity-based Segmentation

  • Park, Jae-Sung;Kim, Seung-Cheol;Bae, Kyung-Hoon;Kim, Eun-Soo
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2005년도 International Meeting on Information Displayvol.II
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    • pp.1615-1618
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    • 2005
  • In this paper, implementation of object-based multiview 3D display using object segmentation and adaptive disparity estimation is proposed and its performance is analyzed by comparison to that of the conventional disparity estimation algorithms. In the proposed algorithm, firstly we can get segmented objects by region growing from input stereoscopic image pair and then, in order to effectively synthesize the intermediate view the matching window size is selected according to the extracted feature value of the input stereo image pair. Also, the matching window size for the intermediate view reconstruction (IVR) is adaptively selected in accordance with the magnitude of the extracted feature value from the input stereo image pair. In addition, some experimental results on the IVR using the proposed algorithm is also discussed and compared with that of the conventional algorithms.

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개인 맞춤형 미디어 서비스 기반 지능형 IP 스트리밍 모듈 설계 및 구현 (Design and Implementation of Intelligent IP Streaming Module Based on Personalized Media Service)

  • 박성주;양창모
    • 대한임베디드공학회논문지
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    • 제4권2호
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    • pp.79-83
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    • 2009
  • Streaming Technology can support the real-time playback without downloading and storing multimedia data in local HDD. So, client browser or plug-in can represent multimedia data before the end of file transmission using streaming technology. Recently, the demand for efficient real-time playback and transmission of large amounts of multimedia data is growing rapidly. But most users' connections over network are not fast and stable enough to download large chunks of multimedia data. In this paper, we propose an intelligent IP streaming system based on personalized media service. The proposed IP streaming system enables users to get an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. The supposed intelligent IP streaming system consists of Server Metadata Agent, Pumping Server, Contents Storage Server, Client Metadata Agent and Streaming Player. And in order to implement the personalized media service, the user information, user preference information and client device information are managed under database concept. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with manufacturing home server system and simulation results.

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실사 양안식 정지영상 및 동영상 콘텐츠 지원을 위한 합성 방법 연구 (Synthesis Method for Stereoscopic Still Pictures and Moving Pictures)

  • 이인재;정세윤;김규현
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 2003년도 정기총회 및 학술대회
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    • pp.153-156
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    • 2003
  • As there is a growing tendency to represent the 3D content instead of the 2D content, researches for the stereoscopic image and video are under way in a variety of fields such as acquisition compression, transmission, authoring and display. The authoring technique for stereoscopic contents has given emphasis to virtual stereoscopic contents. Thus the authoring technique for stereoscopic pictures is insufficient. When we compose a stereo scene with stereoscopic pictures, stereoscopic contents may not match the stereo scene because each stereoscopic picture may have different camera condition. To solve this problem, stereoscopic pictures have been modified manually. It is a laborious work and will be spent much time. Also it is difficult for a user who does not have an elementary knowledge of stereopsis. In this paper, we propose the synthesis method to compose a natural stereo scene with stereoscopic still pictures and moving pictures. Experimental results show that the proposed method in this paper allows a user to synthesize stereoscopic contents easily and compose a stereo scene conveniently.

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Optimal Medium Conditions for the Detection of Cellulolytic Activity in Ganoderma lucidum

  • Jo, Woo-Sik;Bae, Soon-Hwa;Cho, Doo-Hyun;Park, So-Deuk;Yoo, Young-Bok;Park, Seung-Chun
    • Mycobiology
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    • 제37권4호
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    • pp.313-316
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    • 2009
  • To determine the optimal medium conditions for the detection of the cellulolytic activity in Ganoderma lucidum, we varied three media conditions: dye reagent, pH, and temperature. First, we evaluated the use of four dyes, Congo Red, Phenol Red, Remazol Brilliant Blue, and Trypan Blue. To observe the effect of pH on the chromogenic reaction, we also made and tested various media spanning acidic and alkaline pHs, ranging from 4.5 to 8.0. Furthermore, in order to research the effect of temperature on the clear zone and the fungus growing zone, we tested temperatures ranging from 15 to $35{^{\circ}C}$. On the whole, the best protocol called for Ganoderma lucidum transfer onto media containing Congo red with pH adjusted to 7.0, followed by incubation at $25{^{\circ}C}$ for 5 days. Our results will be useful to researchers who aim to study extracellular enzyme activity in Ganoderma lucidum.

자연어 처리를 활용한 메타버스 보도, 연구 간 인식 차이 비교 (Utilizing Natural Language Processing to Compare Perceptions of Metaverse between News Articles and Academic Research)

  • 이규호;이준환
    • 한국멀티미디어학회논문지
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    • 제25권10호
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    • pp.1483-1498
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    • 2022
  • While public interests in the metaverse are growing recently in the Korean media and research, its understanding has not been fully established yet. In this study, we aimed to probe whether the rapid growth in media attention about the metaverse has increased its usage as a buzzword accompanied by an absence of scientific context. We analyzed publications and online news containing "metaverse" from 2020 to 2022. The data analysis methods are 1) time series frequency, 2) keyword network, 3) natural language model. The findings indicate the perception gap about metaverse between research and news articles broadened as its popularity has grown. Research about metaverse gradually expanded its connections with related topics-virtual and augmented realities-focusing on social changes in a remote environment. However, media reporting frequently used "metaverse" as a buzzword rather than explaining its scientific background, stimulating the proliferation of related topics and the dispersion of news content. This study further discusses the need for a media strategy to improve public conception of the long-term development of the metaverse.

Automatic Generation of Video Metadata for the Super-personalized Recommendation of Media

  • Yong, Sung Jung;Park, Hyo Gyeong;You, Yeon Hwi;Moon, Il-Young
    • Journal of information and communication convergence engineering
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    • 제20권4호
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    • pp.288-294
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    • 2022
  • The media content market has been growing, as various types of content are being mass-produced owing to the recent proliferation of the Internet and digital media. In addition, platforms that provide personalized services for content consumption are emerging and competing with each other to recommend personalized content. Existing platforms use a method in which a user directly inputs video metadata. Consequently, significant amounts of time and cost are consumed in processing large amounts of data. In this study, keyframes and audio spectra based on the YCbCr color model of a movie trailer were extracted for the automatic generation of metadata. The extracted audio spectra and image keyframes were used as learning data for genre recognition in deep learning. Deep learning was implemented to determine genres among the video metadata, and suggestions for utilization were proposed. A system that can automatically generate metadata established through the results of this study will be helpful for studying recommendation systems for media super-personalization.