• Title/Summary/Keyword: Changes of Broadcasting Market

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A Case Study on the Diversity of International Co-produced Drama

  • Kim, Youn-Sung;Kim, Tae-Yang
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.3
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    • pp.64-73
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    • 2020
  • The importance of international co-production that enables content production, diversification of overseas markets, and diversification has been highlighted as demand for content has soared due to intensifying competition between media outlets, while contents provision has become easier due to changes in media environment such as convergence of broadcasting and communication and the spread of mobile Internet. In particular, the boom in Korean dramas, called the Korean Wave in China, opened up a new market after "My Love from the Star" in 2014, and in 2016, Netflix's entry into Korea served as an opportunity for local broadcasters and producers to seek international co-production. In addition, "Good Doctor" which was aired on American Broadcasting Co. (ABC) in 2017, has topped the same time slot for the first time in 29 years, and is set to air season 4 this fall. Accordingly, overseas broadcasters and production companies wanted to collaborate with domestic broadcasters and producers, and since 2011, they have conducted a total of 12 co-produced dramas until 2019. Unfortunately, however, there are few studies related to international co-production dramas in the domestic industry and academia. In this paper, we present to help Korea, which used to be a powerhouse in complete export-type content, move toward becoming a powerhouse in international co-produced dramas. In addition, it is meaningful that the research focused on the current status and achievements of international co-production dramas, which have not been studied much, and the diversity of international co-production dramas in the future through the analysis of the form and structure of international co-production.

The Study of Restaurant Start-up Education on Restaurant Start-up : Focus on Entrepreneurship

  • Jun-Young Lee;Sung-Ho Bang;Gi-Hwan Ryu
    • International Journal of Internet, Broadcasting and Communication
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    • v.15 no.2
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    • pp.102-111
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    • 2023
  • We would like to find out how restaurant start-up education affects restaurant start-ups. Recently, as low barriers to entry and endemics are approaching, more and more people want to start a restaurant business. However, while the market size of restaurant start-ups increases due to the high youth unemployment rate and changes in the social population structure, the probability of failure of start-ups is increasing due to the high competition rate. Therefore, this study aims to examine whether restaurant start-up education affects restaurant start-ups through entrepreneurship. This study conducted a survey on prospective start-ups. After that, demographic analysis and multiple regression analysis were performed using the SPSS 23.0 program. As a result, it was found that entrepreneurship had an effect on restaurant start-ups. However, in future studies, more research is needed on the direction of improving and developing restaurant start-up education.

Design and Implementation of an Emotion Recognition System using Physiological Signal (생체신호를 이용한 감정인지시스템의 설계 및 구현)

  • O, Ji-Soo;Kang, Jeong-Jin;Lim, Myung-Jae;Lee, Ki-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.1
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    • pp.57-62
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    • 2010
  • Recently in the mobile market, the communication technology which bases on the sense of sight, sound, and touch has been developed. However, human beings uses all five - vision, auditory, palatory, olfactory, and tactile - senses to communicate. Therefore, the current paper presents a technology which enables individuals to be aware of other people's emotions through a machinery device. This is achieved by the machine perceiving the tone of the voice, body temperature, pulse, and other biometric signals to recognize the emotion the dispatching individual is experiencing. Once the emotion is recognized, a scent is emitted to the receiving individual. A system which coordinates the emission of scent according to emotional changes is proposed.

Development of a Platform Using Big Data-Based Artificial Intelligence to Predict New Demand of Shipbuilding (선박 신수요 예측을 위한 빅데이터 기반 인공지능 알고리즘을 활용한 플랫폼 개발)

  • Lee, Sangwon;Jung, Inhwan
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.1
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    • pp.171-178
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    • 2019
  • Korea's shipbuilding industry is in a critical condition due to changes in the domestic and international environment. To overcome this crisis, preemptive development of products and technologies through prediction of new demand for ships is necessary. The goal of this research is to develop an artificial intelligence algorithm based on ship big data in order to predict new demand for ships. We intend to develop a big data analytics platform specialized in predicting ship demand and to utilize the forecast results of new ship demand through data analysis for planning/development of new products. By doing so, the development of sustainable new business models for equipment and equipment manufacturers will create new growth engines for shipyard and shipbuilders. Furthermore, it is expected that shipbuilders will be able to create business cases based on measurable performance, plan market-oriented products and services, and continuously achieve innovation that has high market destructive power.

Development of a Model to Predict the Volatility of Housing Prices Using Artificial Intelligence

  • Jeonghyun LEE;Sangwon LEE
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.75-87
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    • 2023
  • We designed to employ an Artificial Intelligence learning model to predict real estate prices and determine the reasons behind their changes, with the goal of using the results as a guide for policy. Numerous studies have already been conducted in an effort to develop a real estate price prediction model. The price prediction power of conventional time series analysis techniques (such as the widely-used ARIMA and VAR models for univariate time series analysis) and the more recently-discussed LSTM techniques is compared and analyzed in this study in order to forecast real estate prices. There is currently a period of rising volatility in the real estate market as a result of both internal and external factors. Predicting the movement of real estate values during times of heightened volatility is more challenging than it is during times of persistent general trends. According to the real estate market cycle, this study focuses on the three times of extreme volatility. It was established that the LSTM, VAR, and ARIMA models have strong predictive capacity by successfully forecasting the trading price index during a period of unusually high volatility. We explores potential synergies between the hybrid artificial intelligence learning model and the conventional statistical prediction model.

A Study on an Automatical BKLS Measurement By Programming Technology

  • Shin, YeounOuk;Kim, KiBum
    • International journal of advanced smart convergence
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    • v.7 no.3
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    • pp.73-78
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    • 2018
  • This study focuses on presenting the IT program module provided by BKLS measure in order to solve the problem of capital cost due to information asymmetry of external investors and corporate executives. Barron at al(1998) set up a BKLS measure to guide the market by intermediate analysts. The BKLS measure was measured by using the changes in the analyst forecast dispersion and analyst mean forecast error squared. This study suggests a model of the algorithm that the BKLS measure can be provided to all investors immediately by IT program in order to deliver the meaningful value in the domestic capital market as measured. This is a method of generating and analyzing real-time or non-real-time prediction models by transferring the predicted estimates delivered to the Big Data Log Analysis System through the statistical DB to the statistical forecasting engine. Because BKLS measure is not carried out in a concrete method, it is practically very difficult to estimate the BKLS measure. It is expected that the BKLS measure of Barron at al(1998) introduced in this study and the model of IT module provided in real time will be the starting point for the follow-up study for the introduction and realization of IT technology in the future.

Implementation of Video Mirroring System based on IP

  • Lee, Seungwon;Kwon, Soonchul;Lee, Seunghyun
    • International journal of advanced smart convergence
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    • v.11 no.2
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    • pp.108-117
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    • 2022
  • The recent development of information and communication technology has a great impact on the audio/video industry. In particular, IP-based AoIP transmission technology and AVB technology are making changes in the audio/video market. Video signal transmission technology has been introduced to the market through a network, but it has not replaced the video switcher function. Video signals in the conference room or classroom are still controlled by the switching device. In order to switch input/output video devices, a cable that is not limited by distance must be connected to the switcher. In addition, the control of the switching device must be performed by a person who has received professional training. In this paper, it is a technology that can be operated even by non-experts by replacing complex video cables (RGB, DVI, HDMI, DP) with LAN cables and enabling IP-based video switching and transmission (Video Mirroring over IP: VMoIP) to replace video switcher equipment. We are going to do this study, I/O videos were controlled in the form of matrix and high-definition videos were transmitted without distortion, and VMoIP is expected to become the standard for video switching systems in the future.

System Integration for the Operation of Unmanned Audio Center based on AoIP

  • Lee, Jaeho;Hamacher, Alaric;Kwon, Soonchul;Lee, Seunghyun
    • International journal of advanced smart convergence
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    • v.6 no.2
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    • pp.1-8
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    • 2017
  • Recently, the development of the information communication industry has made many changes in the industrial acoustic industry. Especially, it has a great influence on the change of system and equipment of acoustic system. Analog equipment is changing to digital equipment, and integrated control equipment makes it easier to operate and manage the sound system. However, the integrated control system currently on the market is only controllable for some devices. In this paper, we propose a new AoIP - based system configuration method, which enables the operation status monitoring, unmanned operation and self - diagnosis of equipment. As a result of the study, it is confirmed that the proposed system can be operated, monitored, and self - diagnosed at remote sites. It is expected that an AoIP- based sound system will be the industry standard in the future.

Global Media Environments and Glocalism Contents as Alternatives for Cultural Diversity (글로벌미디어 환경과 글로컬리즘 콘텐츠 : 방송의 문화적 다원성과 다양성 확보방안)

  • Kim, Eung-Sook
    • Journal of Broadcast Engineering
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    • v.12 no.5
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    • pp.480-490
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    • 2007
  • Changes in political and economic environments require a new concept of 'culture' and a paradigm shift in cultural policies. Especially, broadcasting is needed to construct a productive infra-structure in order to play its role as culture industry in multi-channel environments caused by the progress of digital technology. In addition, Korea-USA FTA Agreement and a subsequently expected open policy of broadcasting market raise issues of a flow of foreign capital and a compatibility of cultural diversities and cultural identities. From this perspective, this study attempts to suggest alternatives for cultural diversity of program contents in new global media environments. More specifically, these alternatives examine the meaning and achievements of co-production of broadcasting programs as an active and direct method to preserve cultural identities and universalities of cultural contents at the same time. Details of this study are as follows: thorough review of internation co-production and program format industries and their possibilities to overcome cultural harriers and to provide local alternatives.

A Study on the Usefulness of Spot Animation Character of Television Stations (방송사 Spot animation 캐릭터의 유용성에 관한 연구)

  • Youm, Dong-Cheol
    • Cartoon and Animation Studies
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    • s.17
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    • pp.53-67
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    • 2009
  • According to the changes of current regulation of media, the broadcasting environment has been loosened by market power, and came into competitive era for broadcasting industry with new technology of combined broadcasting and communication. To resolve these issues, the broadcasting provides are trying process of new channel brand identity to introduce their channels. The purpose of the research is to analyze Spot animation that has fast access to viewers among channel brand identity factors, review expandability and usage of Spot animation character to plan, manage character that can improve awareness and loyalty. Therefore it will study creation background and production, activities of each character representing KBS and MBC, compare the structure, color, material, expression of Spot animation character and summarize properties. To conclusion, three characters of KBS and MBC failed to apply structured and professional plan and management, only expressed image that each channel pursue on Station ID Spot animation and had issues of not deeply sighting expandability and usefulness as a character. The important factor to improve channel brand value of broadcasting provider is to have differentiated identity, and the core of it is to make image-responsible Station ID to be effective. Therefore, Spot animation and character of Station ID is a very important factor so there must be professional research and structural management from the early planning and production for character that represents the providers.

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