• The Korean Journal of Mycology
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• v.15 no.2
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• pp.92-98
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• 1987

Twelve species of fungi were isolated from rice straw media for oyster mushroom cultivation. Trichoderma, Aspergillus and Rhizopus were the predominant fungi. Seven species of Trichoderma were isolated and identified from the rice straw media and the order of their frequency in the media was pseudokonigii, aureoviride, viride, harzianum and koningii. Occurrence of harmful fungi in mushroom houses become more severe as the number of cultivation times increased, and that was more severe in spring culture than in autumn culture. Mycelial growth and sporulation of Trichoderma, Aspergillus and Rhizopus were fovorable on the media appended with extracts of rice straws and oyster mushrooms. This results indicate that the rice straw media and mushrooms give favorable conditions for the occurrence of the fungi in the mushroom houses. Mycelial growth of Trichoderma spp. was favorable on saw­dust extraction media and rice bran extraction media, and the spawns inoculated at the mushroom beds present media of the fungi.

• The Journal of Information Systems
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• v.30 no.4
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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.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.19 no.3
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• pp.300-310
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• 1997

In order to make in vivo model of human oral squamous cell cancer, we brought up BALB/C nude mice in specially designed housystem, and maintained some kind of human oral squamous cancer cell lines ; KB, SCC-4, SCC-9, SCC-15, SCC-25. Various concentration of cancer cells were inoculated subcutaneouly into flank area of nude mice. We observed each nude mouse more than 5 weeks after tumor inoculation. We appraised the results, measured the tumor size, and calculated the growing tumor volumes after tumor inoculation according to cancer cell line and concentration of cancer cells in media. Some cancer cell lines were rapidly growing in nude mice, but some cancer cell line couldn't grow in nude mice and resorbed completely. And in some cancer cell line, some nude mice showed continuously growing tumor, but other didn't show any tumor growing. And as a new try, we implanted specially disigned caps on the back of nude mice, and cancer cell lines were brought into the caps with media. We removed the cap after 1 week, and observed over 4 weeks. The shape and size of growing tumor were observed.

• Korean journal of communication and information
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• v.60
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• pp.172-192
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• 2012

Over the last ten years, media convergence and multiple platform expansion have affected the ways that people watch conventional television. In the post-TV era, the growing use of the Internet and mobile multi-media devices, such as smart phones, as well as the availability of abundant television content, allows television consumption to be more personalized, diversified, and linked with various media activities, especially social media uses. This study attempts to examine how television viewing experiences have been transformed with the development of the trans-media uses. Based on Walter J. Ong's concept of relation-ism, which posits that new media transform the meanings and relevance of old media rather than making old media obsolete, this study will pay particular attention to how the cultural meanings of television viewing have been redefined in the post-TV era. For the examination, this study has looked at concrete cases of the television viewing experiences of 29 young people in their twenties. Based on in-depth interview data, this study discusses the newly emerging characteristics of television viewing, its temporal and spatial experiences, and the significance of television as a medium and as a social place.

• 한국정보디스플레이학회:학술대회논문집
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• 2005.07b
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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.

• IEMEK Journal of Embedded Systems and Applications
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• v.4 no.2
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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.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2003.11a
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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.

• Mycobiology
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• v.37 no.4
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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.

• Journal of Korea Multimedia Society
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• v.25 no.10
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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.

• Journal of information and communication convergence engineering
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• v.20 no.4
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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.