• Electronics and Telecommunications Trends
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• v.39 no.2
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• pp.43-53
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• 2024

The media environment is rapidly evolving to be tailored to viewers using personal mobile devices in accordance with technological evolution and changes in social structures. Broadcast media technology is also advancing to enable new services, including data casting, in various reception environments beyond the existing fixed environment and one-way audio/video content services. In addition, technologies to increase the transmission capacity to accommodate next-generation large-capacity media content as well as communication network utilization and convergence technologies are being developed to facilitate interactive services and expand the broadcasting coverage. We discuss the current status and future prospects in broadcasting technology for terrestrial and mobile communication systems and analyze broadcasting technology elements for upcoming media environments relying on generative artificial intelligence.

• Convergence Security Journal
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• v.13 no.3
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• pp.3-8
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• 2013

Recently, the technology and services make progress in IT sector to facilitate the rehabilitation, as well as the exercise that aims to promote the health. To provide the opportunity for new services, various challenges have to be fulfilled, including the blurring boundaries among industries, spread of new technologies, and various demands. Seizing on this opportunity, the fusion and convergence have been accelerated. The trends towards the fusion and convergence are inherent in content industry and spreading to other sectors, which makes the cultural desire of customers fulfilled in a more diverse manner. In particular, the research has been conducted, using the game, in the new technology cultural contents which have shown noticeable fusion and convergence between IT and exercise rehabilitation areas. Such games can be classified into the motion-based game, serious game, and virtual reality game. Those game contents are forming the market fast based on the contents for education, sports, exercise rehabilitation, healthcare, etc., and have very great potential for growth. This study is intended to analyze the fusion and convergence system of exercise rehabilitation through those games and present a direction for future development.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.681-686
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• 2023

The study aims to develop horticulture-based VR content so that users can find rest in their chaotic daily lives. Healing contents that increase user participation, immersion, emotional stability, and creativity and concentration were implemented by using teleports, plant illustrations, inventory, NPC functions, and drawing games. Garden viewing content using VR technology requires technical research and development to overcome the difference from reality, which can increase the reality of the content and the completeness of the experience. The reality of the VR experience will be increased by using high-resolution displays, high-performance processors, and sensors, and user feedback will be collected and continuously improved. Through this, users present new methods by relieving stress, feeling emotional stability, and providing experiences that are impossible in reality.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.101-124
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• 2018

Recently, most of the technologies have been developed in various forms through the advancement of single technology or interaction with other technologies. Particularly, these technologies have the characteristic of the convergence caused by the interaction between two or more techniques. In addition, efforts in responding to technological changes by advance are continuously increasing through forecasting promising convergence technologies that will emerge in the near future. According to this phenomenon, many researchers are attempting to perform various analyses about forecasting promising convergence technologies. A convergence technology has characteristics of various technologies according to the principle of generation. Therefore, forecasting promising convergence technologies is much more difficult than forecasting general technologies with high growth potential. Nevertheless, some achievements have been confirmed in an attempt to forecasting promising technologies using big data analysis and social network analysis. Studies of convergence technology through data analysis are actively conducted with the theme of discovering new convergence technologies and analyzing their trends. According that, information about new convergence technologies is being provided more abundantly than in the past. However, existing methods in analyzing convergence technology have some limitations. Firstly, most studies deal with convergence technology analyze data through predefined technology classifications. The technologies appearing recently tend to have characteristics of convergence and thus consist of technologies from various fields. In other words, the new convergence technologies may not belong to the defined classification. Therefore, the existing method does not properly reflect the dynamic change of the convergence phenomenon. Secondly, in order to forecast the promising convergence technologies, most of the existing analysis method use the general purpose indicators in process. This method does not fully utilize the specificity of convergence phenomenon. The new convergence technology is highly dependent on the existing technology, which is the origin of that technology. Based on that, it can grow into the independent field or disappear rapidly, according to the change of the dependent technology. In the existing analysis, the potential growth of convergence technology is judged through the traditional indicators designed from the general purpose. However, these indicators do not reflect the principle of convergence. In other words, these indicators do not reflect the characteristics of convergence technology, which brings the meaning of new technologies emerge through two or more mature technologies and grown technologies affect the creation of another technology. Thirdly, previous studies do not provide objective methods for evaluating the accuracy of models in forecasting promising convergence technologies. In the studies of convergence technology, the subject of forecasting promising technologies was relatively insufficient due to the complexity of the field. Therefore, it is difficult to find a method to evaluate the accuracy of the model that forecasting promising convergence technologies. In order to activate the field of forecasting promising convergence technology, it is important to establish a method for objectively verifying and evaluating the accuracy of the model proposed by each study. To overcome these limitations, we propose a new method for analysis of convergence technologies. First of all, through topic modeling, we derive a new technology classification in terms of text content. It reflects the dynamic change of the actual technology market, not the existing fixed classification standard. In addition, we identify the influence relationships between technologies through the topic correspondence weights of each document, and structuralize them into a network. In addition, we devise a centrality indicator (PGC, potential growth centrality) to forecast the future growth of technology by utilizing the centrality information of each technology. It reflects the convergence characteristics of each technology, according to technology maturity and interdependence between technologies. Along with this, we propose a method to evaluate the accuracy of forecasting model by measuring the growth rate of promising technology. It is based on the variation of potential growth centrality by period. In this paper, we conduct experiments with 13,477 patent documents dealing with technical contents to evaluate the performance and practical applicability of the proposed method. As a result, it is confirmed that the forecast model based on a centrality indicator of the proposed method has a maximum forecast accuracy of about 2.88 times higher than the accuracy of the forecast model based on the currently used network indicators.

• Journal of the Korea Convergence Society
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• v.11 no.7
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• pp.137-144
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• 2020

Based on the basic concepts and roles of the Science Museum, the research and development of the "Sound Light" interaction exhibition contents and experience exhibition space aimed at providing the exhibition, education and experience of scientific principle directly related to daily life will be implemented in the "Sound Light" exhibition space of the Gwangju National Science Museum. The scope of the research is to define the conditions and elements of the museum's hands-on exhibition by examining the case and status of the existing science museum's experience-type content prior research, and research and development of experience-type exhibition scenarios and contents for children based on them. The results of this research and development content are firstly developed with the theme of light and sound as interactive hologram experience content. Second, by multi-faceted media facade through projection mapping by multiple projectors, visual wide and spectacular screen composition and animation are realized. Third, visitors-oriented exhibitions and experiences that can interact with visitors by moving various colors and sounds together. Finally, interactive content is provided through hologram interfaces through hologram screens to encourage active participation of many visitors in viewing rather than simply delivering exhibition information and to promote revisiting the exhibition. Through a series of studies, it was possible to research and develop contents and experience exhibition spaces with theme park characteristics, which are the trend of science museums.

• Journal of Powder Materials
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• v.28 no.4
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• pp.317-324
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• 2021

High-strength low-alloy (HSLA) steels show excellent toughness when trace amounts of transition elements are added. In steels, prior austenite grain size (PAGS), which is often determined by the number of added elements, is a critical factor in determining the mechanical properties of the material. In this study, we used two etching methods to measure and compare the PAGS of specimens with bainitic HSLA steels having different Nb contents These two methods were nital etching and picric acid etching. Both methods confirmed that the sample with high Nb content exhibited smaller PAGS than its low Nb counterpart because of Nb's ability to hinder austenite recrystallization at high temperatures. Although both etching approaches are beneficial to PAGS estimation, the picric acid etching method has the advantage of enabling observation of the interface containing Nb precipitate. By contrast, the nital etching method has the advantage of a very short etching time (5 s) in determining the PAGS, with the picric acid etching method being considerably longer (5 h).

• Journal of Korea Game Society
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• v.21 no.6
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• pp.97-110
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• 2021

The purpose of this study is to analyze how video media such as movies and dramas, which aim for one-way and viewing-oriented content, remediates the attributes of games, and to study the influence and convergence of games and video media. There were two main types of game culture convergence patterns of video media. The first is the passive fusion of the content aspect of the game, and the second is the active fusion of the system aspect of the game. Such research is significant as a basic study that reveals that games affect various video media and proves that game media can function as a representative media leading popular culture.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.41-46
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• 2022

The purpose of this study is to confirm and analyze the impact on consumers through big data keyword analysis on weak food. For data collection, web documents, blogs, news, cafes, intellectuals, academic information, and Google Web, news, and Facebook provided by Naver and Daum were used as analysis targets. The data analysis period was set from January 2018 to December 2021. For data collection and analysis, the frequency and matrix of keywords were extracted through Textom, a social matrix site, and the relationship and connection centrality between keywords were analyzed and visualized using the Netdraw function among UCINET6 programs. In addition, CONCOR analysis was conducted to derive clusters for similar keywords. As a result of analyzing yakseon food with keywords, a total of 35,985 cases of collected data were derived. Through this, it was confirmed that medicinal food affects consumers. Furthermore, if a business model is created and developed through yakseon food, it will be possible to lead the popularization of yakseon food.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.36 no.3
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• pp.275-279
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• 2023

La_0.7Sr_0.3-xMg_xMnO₃ (LSMMO) (x=0.05~0.20) specimens are fabricated by a solid phase sintering method, and the sintering temperature and time are 1,300℃ and 2 hours, respectively. The dependence of the crystalline structure according to the amount of Mg²⁺ contents is not observed, and all specimens show a polycrystalline rhombohedral crystal structure, the X-ray diffraction (110) peaks move to the high angle side with increasing the amount of Mg²⁺ contents. LSMMO specimens exhibit a granule-shaped microstructure with an average grain size of 1 ㎛ or less. Resistivity gradually decrease as the amount of Mg²⁺ contents increased. And in the La_0.7Sr_0.1Mg_0.2MnO₃ specimen, resistivity and B_25/65-value are 36.7 Ω-cm and 394 K at room temperature, respectively. LSMMO specimens show a variable-range hopping (VRH) electrical conduction mechanism, and the negative temperature of coefficient of resistance (NTCR) is approximately 0.37~0.38%/℃.

• Journal of information and communication convergence engineering
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• v.21 no.4
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• pp.287-293
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• 2023

With the rapid development of domestic and international over-the-top markets, a large amount of video content is being created. As the volume of video content increases, consumers tend to increasingly check data concerning the videos before watching them. To address this demand, video summaries in the form of plot descriptions, thumbnails, posters, and other formats are provided to consumers. This study proposes an approach that automatically generates posters to effectively convey video content while reducing the cost of video summarization. In the automatic generation of posters, face recognition and clustering are used to gather and classify character data, and keyframes from the video are extracted to learn the overall atmosphere of the video. This study used the facial data of the characters and keyframes as training data and employed technologies such as DreamBooth, a text-to-image generation model, to automatically generate video posters. This process significantly reduces the time and cost of video-poster production.