• Title/Summary/Keyword: Broadcasting Production

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Changes in Nutrients Uptake and Dry Matter Yield of Orchardgrass ( Dactylis glomerata L. ) and Alfalfa ( medicago sativa L. ) by Gypsum Application. (석고시용이 Orchargrass ( Dactylis glomerata L. ) 와 Alfalfa ( Medicago sativa L. )의 양분흡수 및 목초수량에 미치는 영향)

  • 윤순강;송기웅;김재규
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.10 no.3
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    • pp.141-146
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    • 1990
  • Changes in dry matter yield, crude components, nutrients uptake($P_2O_5$, $K_2O$, CaO, MgO) and sulphur containing amino acid(cysteine, methionine) of orchardgrass(Dacty1is glomerata. L) and alfalfa(A4edicago sativa. L) by gypsum application(as sulphur source, 0, 2. 5, 10, 20kg SIlOa) were investigated to understand the effect of sulphur on herbage production in pasture, which was established in 1987 as means of hand broadcasting. The effect of gypsum on dry matter yield at different cutting times during growing seasons has not been found both in orchardgrass and in alfalfa, but in respect to annual total dry matter yield there were increment in herbage yield (P<0.05) of alfalfa at 5, 10, 20kg SIlOa in 1989 and the amounts of sulphur taken up in herbage slightly increased according to the rates of gypsum application. Maximum apparent recovery of sulphur was 7.55% at 2kg SIlOa in orchardgrass and was 17.8% at 5kg S/lOa in alfalfa. There were no any great differences in the content of crude components of both species and this trend was similar with the mineral contents of orchardgrass. But in alfalfa, the amounts of $K_2O$, CaO, and $P_2O_5$ taken up were increased by gypsum application and the increment in the amounts of minerals taken up in herbage at 20kg SIlOa were 14.9 of $K_2O$, 9.1 of CaO, and 2.5kgIlOa of $P_2O_5$ as compared to those of at untreated plot. Cysteine and methionine were not influenced by gypsum applicaton not only in orchardgrass but also cysteine in alfalfa, however, the content of methionine in alfalfa was slightly increased at 2, 5, lOkg SIlOa and at 20kg SIlOa was reverse.

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The related record about 'Daejanggeum' and its modern acceptance (대장금(大長今)' 관련 기록의 현대적 수용 - 문화콘텐츠로의 생성과 전개 양상 분석 -)

  • Nam, Eunkyung
    • (The)Study of the Eastern Classic
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    • no.43
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    • pp.33-64
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    • 2011
  • The historical drama played on TV in 2003, Daejanggeum is originally based on the short historical record of lady doctor of the palace from the [Jungjong record] of Josun. The drama mixed fiction and historic record well together draw enormous interest and became a novel, musical and animation for children. Also the location of shooting drama became a theme park to attract travelers and the name 'Daejanggeum' was used for products to create great additional value. Most of all, the drama then was exported to overseas and became the representing drama of Korea. Therefore, drama is the representing piece that proved the success of historic data with its application as various modern cultural contents. The analysis of success reason of showed the creation of new modern woman character, fresh selection of the item that suits well in the time of desiring wellbeing, the strong drama scenario with different story development compared to previous historic drama. Also, it used 'one source multi use' method prior to the broadcasting and prepared production of various cultural contents. This success of Daejanggeum means a lot from the point of 'modern acceptance of tradition' to tradition researchers.

Production of Polyphenols and Flavonoids and Anti-Oxidant Effects of Lactic Acid Bacteria of Fermented Deer Antler Extract

  • Kim, Hyun-Kyoung;Choi, Kang-Ju;Ahn, Jong-Ho;Jo, Han-Hyung;Lee, Chang-Soon;Noh, Ji-Ae
    • International journal of advanced smart convergence
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    • v.10 no.1
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    • pp.197-208
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    • 2021
  • The deer antler has been used as a major drug in oriental medicine for a long time. Recently, the demand for easy-to-take health functional foods is increasing due to economic development and changes in diet. As part of research on the development of functional materials for antlers, lactic acid fermentation of antler extract was performed. It was intended to develop a functional material with enhanced total polyphenol and flavonoid content and enhanced antioxidant activity. Lactic acid bacteria fermentation was performed by adding 4 types of lactic acid bacteria starter products, B. longum, Lb. Plantarum, Lb. acidophilus and mixture of 8 types of lactic acid bacteria to the antler water extract substrate, respectively. During the fermentation of lactic acid bacteria, the number of proliferation, total polyphenol and total flavonoid content, DPPH radical scavenging and antioxidant activity were quantified and evaluated. As a result of adding these four types of lactic acid bacteria to the antler water extract substrate, the number of lactic acid bacteria measured was 2.04~5.00×107. Meanwhile, a protease (Baciullus amyloliquefaciens culture: Maxazyme NNP DS) was added to the antler extract to decompose the peptide bonds of the contained proteins. Then, these four types of lactic acid bacteria were added and the number of lactic acid bacteria increased to 2.84×107 ~ 2.21×108 as the result of culture. The total polyphenol contents were 4.82~6.26 ㎍/mL in the lactic acid bacteria fermentation extracts, and after the reaction of protease enzyme and lactic fermentation, increased to 14.27~20.58 ㎍/mL. The total flavonoid contents were 1.52~2.21 ㎍/ml in the lactic acid bacteria fermentation extracts, and after the protease reaction and fermentation, increased to 5.59 ~ 8.11 mg/mL. DPPH radical scavenging activities of lactic acid bacteria fermentation extracts was 17.03~22.75%, but after the protease reaction and fermentation, remarkably increased to 32.82~42.90%.

How "Covid-19" Affected Reporters' News Coverage?: Focusing on Reporters' Perception of Changes in Work Environment Before and After the Pandemic (코로나 19는 기자들의 취재관행에 어떤 영향을 주었나?: 팬데믹 전후의 근무형태 변화에 대한 기자 인식을 중심으로)

  • Yang, Young-Yu
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.11-21
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    • 2021
  • The purpose of this study is to explore and analyze how the Covid-19 pandemic has affected the reporting practices and news production of the reporters working with Korean media over the past one year. To this end, this study has conducted in-depth interviews with reporters working with daily newspapers, news agencies, and broadcasting companies. The analysis of the interviews resulted in the following generalizations. The reporters are working at home, which was never experienced before the Covid-19 pandemic, and they have difficulties in covering their reporting beats because they have little or no access to contact points. The reporters rely heavily on indirect coverage and online briefings via phones or SNS because they have difficulties in meeting news sources in person. As a result, the diversity of news contents and the media's on-site monitoring functions has been severely weakened. In addition, the reporters have no chances to both exchange ideas with fellow reporters and to transfer the know-how of collecting news items to their juniors. This paper has also discussed the disruption of practices that the ongoing Covid-19 has brought to the media ecosystem from a variety of perspectives.

Integrated Verbal and Nonverbal Sentiment Analysis System for Evaluating Reliability of Video Contents (영상 콘텐츠의 신뢰도 평가를 위한 언어와 비언어 통합 감성 분석 시스템)

  • Shin, Hee Won;Lee, So Jeong;Son, Gyu Jin;Kim, Hye Rin;Kim, Yoonhee
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.4
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    • pp.153-160
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    • 2021
  • With the advent of the "age of video" due to the simplification of video content production and the convenience of broadcasting channel operation, review videos on various products are drawing attention. We proposes RASIA, an integrated reliability analysis system based on verbal and nonverbal sentiment analysis of review videos. RASIA extracts and quantifies each emotional value obtained through language sentiment analysis and facial analysis of the reviewer in the video. Subsequently, we conduct an integrated reliability analysis of standardized verbal and nonverbal sentimental values. RASIA provide an new objective indicator to evaluate the reliability of the review video.

A Study on the Business of the Korean OTT in North American Market : Focusing on scenario analysis based on cash flow estimation (국내 OTT 사업자의 해외시장 진출의 사업성 연구 : 현금흐름 추정에 의한 시나리오 분석을 중심으로)

  • Byun, Sangkyu;Park, Chun-il;Wee, Kyeong Woo
    • The Journal of the Korea Contents Association
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    • v.22 no.8
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    • pp.274-287
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    • 2022
  • Competition in the broadcasting market is intensifying as OTT services are spreading. And Korea is positioned as a competent international contents supply base. This can be helpful for the domestic contents production industry. However, it can result in being incorporated as a subcontractor in the global video industry. Therefore, it is necessary for Korean OTT operators to expand their market upto overseas and maintain competitiveness by linking content competitiveness to the sales expansion. This study was conducted to reduce the risk and encourage implementation through feasibility analysis of overseas business of domestic OTT operators. The North American market was selected as a region with high potential through in-depth interviews with experts and literatures review. And it was confirmed that the partnership with local platform is effective. Then, the sales and input costs were estimated, and business was evaluated using the net present value method. Totally 18 scenarios were created using multiple estimates for copyright cost, subscribers, and rate, which are highly uncertain. From the analyses, 8 scenarios were found to be acceptable. And copyright cost has the greatest impact on business success, followed by rates and subscribers.

A Study on the Usability of Digital Humans in New Media Contents

  • Jihan Kim;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.300-305
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    • 2023
  • This thesis is a study of content development utilizing media outlets to date through digital humans. The trend of global content is that the video content industry, including the character business, is growing. Lil Michela, who was selected as one of the 25 most influential people on the Internet by Time magazine in 2018, Nasua, who appeared in a SK Telecom commercial, and Rosie, who appeared in a Shinhan Bank commercial, are representative. Digital humans, which are driving new content, are computer-generated human characters with various characteristics and are referred to as virtual humans, metahumans, and cyber humans. With the rise of the metaverse after COVID-19, digital humans are being utilized in various forms such as media and marketing as an element of visual content. In the form of media, we can see that the boundaries between the offline and digital worlds are converging, and in the form of marketing, we can see that digital humans connect consumers and products more naturally. In the form of interaction, it is possible to achieve two-way communication through various methods of operation, and through these factors, it is possible to go beyond behavioral communication in the form of memorialization to emotional communication through AI technology. What can be seen through these processes is that through the currently developing digital human production methods and AI functions, not only experts but also non-experts can create quality contents, and new directions of contents will appear, and contents that can provide immediate feedback by bringing consumers and creators closer together have been studied.

A Case Study on the Brand Development of Odor-reducing Feed Additives

  • Gok Mi Kim
    • International journal of advanced smart convergence
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    • v.13 no.1
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    • pp.194-200
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    • 2024
  • In the past, antibiotics and antimicrobial substances have been used for the purpose of promoting the growth of livestock or treating livestock, but various problems such as the presence of livestock products or resistant bacteria have emerged. Recently, regulations on the use of antibiotics have been strengthened worldwide, and probiotics are attracting attention as an alternative. Probiotic microorganisms have already been used for human use, such as intestinal abnormal fermentation, diarrhea, and indigestion. In livestock, beneficial microorganisms are increasing in use for the purpose of improving productivity, such as promoting livestock development and preventing diarrhea. Therefore, it is advisable to understand livestock probiotics in deeper and think about effective uses. The role of probiotics in the livestock sector is made with microorganisms themselves, so it is a substance that promotes livestock growth and improves feed efficiency by settling in the intestines of livestock, suppressing the growth of other harmful microorganisms, helping digestion and absorption of ingested feed, and helping to synthesize other nutrients. There is a need for a probiotic that suppresses intestinal bacteria by supplying probiotics used as a means to minimize the effects of stress in livestock management, thereby suppressing disease outbreaks by maintaining beneficial microorganisms and suppressing pathogenic microorganisms. The purpose of this paper is to develop a brand of feed additive probiotics to improve health conditions due to increased feed intake, improve the efficiency of use of feed nutrients, inhibit the decomposition and production of toxic substances, increase immunity, reduce odor in livestock, and improve the environment. We investigated and analyzed feed additive probiotics already on the market, and developed the naming and logo of suitable feed additive probiotic brands in livestock. We hoped that the newly developed product will be used in the field and help solve problems in the livestock field.

Research on Utilization of AI in the Media Industry: Focusing on Social Consensus of Pros and Cons in the Journalism Sector (미디어 산업 AI 활용성에 관한 고찰 : 저널리즘 분야 적용의 주요 쟁점을 중심으로)

  • Jeonghyeon Han;Hajin Yoo;Minjun Kang;Hanjin Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.3
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    • pp.713-722
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    • 2024
  • This study highlights the impact of Artificial Intelligence (AI) technology on journalism, discussing its utility and addressing major ethical concerns. Broadcasting companies and media institutions, such as the Bloomberg, Guardian, WSJ, WP, NYT, globally are utilizing AI for innovation in news production, data analysis, and content generation. Accordingly, the ecosystem of AI journalism will be analyzed in terms of scale, economic feasibility, diversity, and value enhancement of major media AI service types. Through the previous literature review, this study identifies key ethical and social issues in AI journalism as well. It aims to bridge societal and technological concerns by exploring mutual development directions for AI technology and the media industry. Additionally, it advocates for the necessity of integrated guidelines and advanced AI literacy through social consensus in addressing these issues.

Prediction of a hit drama with a pattern analysis on early viewing ratings (초기 시청시간 패턴 분석을 통한 대흥행 드라마 예측)

  • Nam, Kihwan;Seong, Nohyoon
    • Journal of Intelligence and Information Systems
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    • v.24 no.4
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    • pp.33-49
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    • 2018
  • The impact of TV Drama success on TV Rating and the channel promotion effectiveness is very high. The cultural and business impact has been also demonstrated through the Korean Wave. Therefore, the early prediction of the blockbuster success of TV Drama is very important from the strategic perspective of the media industry. Previous studies have tried to predict the audience ratings and success of drama based on various methods. However, most of the studies have made simple predictions using intuitive methods such as the main actor and time zone. These studies have limitations in predicting. In this study, we propose a model for predicting the popularity of drama by analyzing the customer's viewing pattern based on various theories. This is not only a theoretical contribution but also has a contribution from the practical point of view that can be used in actual broadcasting companies. In this study, we collected data of 280 TV mini-series dramas, broadcasted over the terrestrial channels for 10 years from 2003 to 2012. From the data, we selected the most highly ranked and the least highly ranked 45 TV drama and analyzed the viewing patterns of them by 11-step. The various assumptions and conditions for modeling are based on existing studies, or by the opinions of actual broadcasters and by data mining techniques. Then, we developed a prediction model by measuring the viewing-time distance (difference) using Euclidean and Correlation method, which is termed in our study similarity (the sum of distance). Through the similarity measure, we predicted the success of dramas from the viewer's initial viewing-time pattern distribution using 1~5 episodes. In order to confirm that the model is shaken according to the measurement method, various distance measurement methods were applied and the model was checked for its dryness. And when the model was established, we could make a more predictive model using a grid search. Furthermore, we classified the viewers who had watched TV drama more than 70% of the total airtime as the "passionate viewer" when a new drama is broadcasted. Then we compared the drama's passionate viewer percentage the most highly ranked and the least highly ranked dramas. So that we can determine the possibility of blockbuster TV mini-series. We find that the initial viewing-time pattern is the key factor for the prediction of blockbuster dramas. From our model, block-buster dramas were correctly classified with the 75.47% accuracy with the initial viewing-time pattern analysis. This paper shows high prediction rate while suggesting audience rating method different from existing ones. Currently, broadcasters rely heavily on some famous actors called so-called star systems, so they are in more severe competition than ever due to rising production costs of broadcasting programs, long-term recession, aggressive investment in comprehensive programming channels and large corporations. Everyone is in a financially difficult situation. The basic revenue model of these broadcasters is advertising, and the execution of advertising is based on audience rating as a basic index. In the drama, there is uncertainty in the drama market that it is difficult to forecast the demand due to the nature of the commodity, while the drama market has a high financial contribution in the success of various contents of the broadcasting company. Therefore, to minimize the risk of failure. Thus, by analyzing the distribution of the first-time viewing time, it can be a practical help to establish a response strategy (organization/ marketing/story change, etc.) of the related company. Also, in this paper, we found that the behavior of the audience is crucial to the success of the program. In this paper, we define TV viewing as a measure of how enthusiastically watching TV is watched. We can predict the success of the program successfully by calculating the loyalty of the customer with the hot blood. This way of calculating loyalty can also be used to calculate loyalty to various platforms. It can also be used for marketing programs such as highlights, script previews, making movies, characters, games, and other marketing projects.