• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.298-304
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• 2024

The smart factory promotion project is a project that uses ICT technology to improve the production process and the entire management environment system. In Korea, the smart factory promotion project has been continuously implemented since 2014, and the Smart Factory Promotion Team is supporting it nationally. The smart factory promotion project has shown positive results in some companies even in difficult environments such as the COVID-19 situation. In order for each company to promote the smart factory project, it must receive business approval through an evaluation based on the business plan. In order to receive business approval, it is important that the main contents described in the business plan (introduction (business) goals, qualitative goals, quantitative goals, functional composition diagram, etc.) are described consistently. In this study, we studied the cases of several companies to determine whether the main contents of the companies' business plans were consistent. The main contents to be maintained in consistency were the purpose and necessity of introduction, quantitative goals, qualitative goals, functional composition diagram, and expected effects.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.3
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• pp.329-333
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• 2024

With increasing applications of technologies developed in the Fourth Industrial Revolution, data have come to replace important knowledge and experience in the agricultural field. Although data-based smart agriculture is growing at an average annual rate of 8.57%, research on ways to utilize data produced alongside is remains insufficient. Because such data may considerably help stakeholders involved in agricultural activities, we deployed the prosumer concept to revitalize agricultural data. We systematically structured and defined three relevant entities: the prosumer, which produces and consumes agricultural data; the database, which systematically processes and integrates agricultural data; and the consumer, which utilizes agricultural data in various ways. Our framework is designed to help stakeholders use agricultural data to improve the quality of crops, minimize the failure of agricultural activities, quickly adapt to new environments and methods of crop production, and find effective solutions to relevant issues.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.42-47
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• 2022

As smart factory is the factory which produces the products according to the customer's diverse demand and the changing conditions in it, it can be characterized by flexible production, dynamic reconstruction, and optimized production environment. To implement these characteristics, many kind of configuration elements in the smart factory should be connected to and communicated with each other. So the network is responsible for playing this role in the smart factory. As SDN (Software Defined Network) is the technology that can dynamically cope with the explosive increasing data amount and the hourly changing network condition, it is one of network technologies that can be applied to the smart factory. In this paper, we address SDN function and operation, SDN model suitable for the smart factory, and then performs the simulation for measuring this model.

• International journal of advanced smart convergence
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• v.13 no.2
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• pp.265-275
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• 2024

Smart factory is a remarkable development from traditional manufacturing systems to data-based smart manufacturing systems that can connect and process data continuously, collected from machines, production equipment to production and business processes, capable of supporting workers in making decisions or performing work automatically. Smart factory is the key and center of the fourth industrial revolution, combining improvements in traditional manufacturing activities with digital technology to help factories achieve greater efficiency, contributing to increased revenue and reduce operating costs for businesses. Besides, the importance of smart factories is to make production more quality, efficient, competitive and sustainable. Businesses in Vietnam are in the process of learning and applying smart factory models. However, the number of businesses applying the pine factory model is still limited due to many barriers and difficulties. Therefore, in this paper we conduct a survey to assess the needs and current situation of businesses in applying smart factories and propose some specific solutions to develop and promote application of smart factory model in Vietnamese businesses.

• The Journal of the Korea Contents Association
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• v.10 no.4
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• pp.141-156
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• 2010

Recently broadcasting production companies have imported a number of broadcast program formats to get ideas quickly and easily. The term format in broadcasting industry is defined as a paper form which includes principal elements throughout each episode of the series in a program to keep consistency. In case of the quiz program titled 1:100 which is being aired in Korea, the domestic company imported the format and produced to broadcast in Korea. In other words, a format includes components of the inherent creative ideas and proposals needed in production a program. The study proposed a web based collaborative system that many users create the format for the broadcast program together. the system is constructed to combine creative ideas to making them a format. Also, production experts will take advantage of the system.

• The Journal of the Korea Contents Association
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• v.8 no.9
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• pp.66-73
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• 2008

Under the changing circumstances of broadcasting, this study aims at the corelation of television drama's rating and television image production techniques, analyzing TV image production techniques and TV rating of drama, the highest rating genre. For this research, 6 dramas were selected as samples except the dramas about history and violence on the basis of the TNS media korea's top 100 of the year 2007. This study analyzed camerawork, shot size, shot duration and scene duration with the contents of replay and manuscript viewing of broadcasting companys' homepages. As the result of the analysis of corelation, TV rating is inverse proportionate to multiple camerawork and shot average duration with a very close relationship, showing no relationship with other variables. The result of this study shows that multiple cameraworks and long durated shots should be avoided for higher TV rating.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.6
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• pp.311-319
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• 2015

In this paper, in order to increase the production efficiency of the industrial plant, and predicts the resources of the manufacturing process, we have proposed a decision-making system for resource implementing the risk management effectively forecasting and risk management. A variety of information that occurs at each step efficiently difficult the creation of detailed process steps in the scenario you want to manage, is a frequent condition change of manufacturing facilities for the production of various products even within the same process. The data that is not contiguous products production cycle also not constant occurs, there is a problem that needs to check the variation in the small amount of data. In order to solve these problems, data centralized manufacturing processes, process resource prediction, risk prediction, through a process current status monitoring, must allow action immediately when a problem occurs. In this paper, the range of change in the design drawing, resource prediction, a process completion date using a regression algorithm to derive the formula, classification tree technique was proposed decision system in three stages through the boundary value analysis.

• Journal of Broadcast Engineering
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• v.26 no.5
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• pp.575-582
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• 2021

This study would analyze the economic impact of the new financial input to the National Assembly FM Radio. Recently, with the 4th industrial revolution and the change in the new media paradigm, there are changes into multi-media and multi-channels, such as mobile, Internet, and OTT, etc. Reflecting these changing internal and external conditions, National Assembly Television, too, should introduce FM radio broadcasting so that the viewers can use the public services without spatial and temporal constraints. Thus, this study would conduct an analysis, estimating the budget required for investing the new government funding in the National Assembly FM Radio. As for the main analysis results, the coefficient of production inducement was 1.661; that of added value, 1.141; and that of employment inducement, 7.1. In the capital district, the effect on production inducement was 6.928 billion won; that on added value inducement, 4.758 billion won; and that on employment inducement, 28.4 persons. In addition, in the whole country, the effect on production inducement was 13.257 billion won; that on added value inducement, 9.106 billion won; and that on employment inducement, 49.7 persons.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.5
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• pp.47-52
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• 2021

Recently, demand for artificial intelligence solutions for production process management has been increasing in the manufacturing industry. However, through the application of AI solutions in the manufacturing industry, there are limitations to legacy smart factory solutions such as POP and MES.Therefore, in order to overcome this, this paper aims to improve production management efficiency by applying guidance, an artificial intelligence concept, to image recognition systems. In the system flow, As_is To be separated and actual work flow was applied, and the process was improved for overall productivity efficiency. The pre-processing plan for AI guidance learning was established and the relevant AI model was designed, developed, and simulated, resulting in a 97% recognition rate.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.99-105
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• 2021

In addition to the OTT video production service represented by Nexflix and YouTube, a personalized recommendation system for content with artificial intelligence has become common. YouTube's personalized recommendation service system consists of two neural networks, one neural network consisting of a recommendation candidate generation model and the other consisting of a ranking network. Netflix's video recommendation system consists of two data classification systems, divided into content-based filtering and collaborative filtering. As the online platform-led content production is activated by the Corona Pandemic, the field of virtual influencers using artificial intelligence is emerging. Virtual influencers are produced with GAN (Generative Adversarial Networks) artificial intelligence, and are unsupervised learning algorithms in which two opposing systems compete with each other. This study also researched the possibility of developing AI platform based on individual recommendation and virtual influencer (metabus) as a core content of OTT in the future.