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Evaluation of Evacuation Safety in University Libraries Based on Pathfinder

  • Zechen Zhang;Jaewook Lee;Hasung Kong
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권2호
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    • pp.237-246
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    • 2024
  • In recent years, the frequent occurrence of fire accidents in university libraries has posed significant threats to the safety of students' lives and property, alongside negative social impacts. Accurately analyzing the factors affecting evacuation during library fires and proposing optimized measures for safe evacuation is thus crucial. This paper utilizes a specific university library as a case study, simulating fire evacuation scenarios using the Pathfinder software, to assess and validate evacuation strategies and propose relevant optimizations. Pathfinder, developed by Thunderhead Engineering in the United States, is an intuitive and straightforward personnel emergency evacuation assessment system, offering advanced visualization interfaces and 3D animation effects. This study aims to construct evacuation models and perform simulation analysis for the selected university library using Pathfinder. The library's structural layout, people flow characteristics, and the nature of fire and smoke spread are considered in the analysis. Additionally, evacuation scenarios involving different fire outbreak locations and the status of emergency exits are examined. The findings underscore the importance of effective evacuation in fire situations, highlighting how environmental conditions, individual characteristics, and behavioral patterns significantly influence evacuation efficiency. Through these investigations, the study enhances understanding and optimization of evacuation strategies in fire scenarios, thereby improving safety and efficiency. The research not only provides concrete and practical guidelines for building design, management, and emergency response planning in libraries but also offers valuable insights for the design and management of effective evacuation systems in buildings, crucial for ensuring occupant safety and minimizing loss of life in potential hazard situations

Goal-oriented Movement Reality-based Skeleton Animation Using Machine Learning

  • Yu-Won JEONG
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권2호
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    • pp.267-277
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    • 2024
  • This paper explores the use of machine learning in game production to create goal-oriented, realistic animations for skeleton monsters. The purpose of this research is to enhance realism by implementing intelligent movements in monsters within game development. To achieve this, we designed and implemented a learning model for skeleton monsters using reinforcement learning algorithms. During the machine learning process, various reward conditions were established, including the monster's speed, direction, leg movements, and goal contact. The use of configurable joints introduced physical constraints. The experimental method validated performance through seven statistical graphs generated using machine learning methods. The results demonstrated that the developed model allows skeleton monsters to move to their target points efficiently and with natural animation. This paper has implemented a method for creating game monster animations using machine learning, which can be applied in various gaming environments in the future. The year 2024 is expected to bring expanded innovation in the gaming industry. Currently, advancements in technology such as virtual reality, AI, and cloud computing are redefining the sector, providing new experiences and various opportunities. Innovative content optimized for this period is needed to offer new gaming experiences. A high level of interaction and realism, along with the immersion and fun it induces, must be established as the foundation for the environment in which these can be implemented. Recent advancements in AI technology are significantly impacting the gaming industry. By applying many elements necessary for game development, AI can efficiently optimize the game production environment. Through this research, We demonstrate that the application of machine learning to Unity and game engines in game development can contribute to creating more dynamic and realistic game environments. To ensure that VR gaming does not end as a mere craze, we propose new methods in this study to enhance realism and immersion, thereby increasing enjoyment for continuous user engagement.

The Embodiment of a Performer and Character: Psychophysical Pathway to the Practical Attunement of a Performer's Body

  • BongHee Son
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권2호
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    • pp.68-74
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    • 2024
  • This thesis explores the embodiment of a performer and a character/role specifically by examining what the term character is associated with and implies in a sense of the performer's bodily training through which what happens to their body. First of all, this research begins to investigate the relationship between a performer and a character centred on the performer's bodily experience through training and/or studio work. From a perspective of a performer, the concept and practical approach of a character itself essentially includes and signifies all the given circumstance of a specific play which has to be acknowledged then inhabited through the performer's body. That is, the internal structure of the text parallels with articulating and developing the spine of a specific character which take place as the substance leads the performer's body to an organic action and/or that of way corresponding to what the character needs and wants to obtain through a series of moment on stage. Here, we argue that the purposeful action as a process and result of applying/inhabiting the substance enhances the performer's body as the whole being participates in the given environment within which his/her body can also work or function by means of the integrated oneness. Second, in a manner of the most fundamental level, both the ethic of acting and the central task of a performer remind us the significance of allowing therefore experiencing subtle bodily movement, namely, responses to stimulus from in/outside of his/her body either visible or invisible on the one hand. At the same time, such a journey of self-discovery empowers the performer to explore new potential possibilities on the other. Finally, as the research finding suggests that these practical insights are necessarily need to be acknowledged as a point of the departure through which the quality of a performer's body is also cultivated by means of the changeable wholeness in order to being on stage.

Web3.0 Video Streaming Platform from the Perspective of Technology, Tokenization & Decentralized Autonomous Organization

  • Song, Minzheong
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권2호
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    • pp.149-160
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    • 2024
  • For examining Web3.0 video streaming (VS) platforms in terms of the decentralized technology, tokenization and decentralized autonomous organization (DAO), we look at four platforms like DLive, DTube, Livepeer, and Theta Network (Theta). As a result, DLive which firstly partnered with Medianova for CDN and with Theta for peer to peer (P2P) network and migrates to Tron blockchain (BC), receives no commission from what creators earn, gives rewards to viewers by measuring engagement, and incentivizes participation by allowing 20% of donation & fees for funding development, 5% to BitTorrent Token (BTT) stakeholders (among these 5%, 20% to partners, 80% to other BTT stakeholders). DTube on its own lower-layer BC, Avalon, offers InterPlanetary File System (IPFS), gives 90% of the created value to creators or curators, and try to empower the community. Livepeer on Ethereum BC offers decentralized CDN, P2P, gives Livepeer Token (LPT) as incentive for network participants, and delegators can stake their LPT to orchestrators doing good. Theta on its native BC pulls streams from peering caching nodes, creates P2P network, gives Theta utility token, TFUEL for caching or relay nodes contributors, and allows Theta governance token, THETA as staking token. We contribute to the categorization of Web3.0 VS platforms: DLive and DTube reduce the risk of platform censorship, promote the diverse content, and allow the community to lead to more user-friendly environments. On the other hand, Livepeer and Theta provide new methods to stream content, but they have some differences. Whereas Livepeer focuses on the transcoding layer, Theta concentrates both on the video application layer and content delivery layer. It means, Theta tries to deliver value to all participants by enhancing network quality, reducing CDN cost, and rewarding users in utility tokens for the storage and bandwidth they provide.

Analysis on Domestic Franchise Food Tech Interest by using Big Data

  • Hyun Seok Kim;Yang-Ja Bae;Munyeong Yun;Gi-Hwan Ryu
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권2호
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    • pp.179-184
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    • 2024
  • Franchise are now a red ocean in Food industry and they need to find other options to appeal for their product, the uprising content, food tech. The franchises are working on R&D to help franchisees with the operations. Through this paper, we analyze the franchise interest on food tech and to help find the necessity of development for franchisees who are in needs with hand, not of human, but of technology. Using Textom, a big data analysis tool, "franchise" and "food tech" were selected as keywords, and search frequency information of Naver and Daum was collected for a year from 01 January, 2023 to 31 December, 2023, and data preprocessing was conducted based on this. For the suitability of the study and more accurate data, data not related to "food tech" was removed through the refining process, and similar keywords were grouped into the same keyword to perform analysis. As a result of the word refining process, a total of 10,049 words were derived, and among them, the top 50 keywords with the highest relevance and search frequency were selected and applied to this study. The top 50 keywords derived through word purification were subjected to TF-IDF analysis, visualization analysis using Ucinet6 and NetDraw programs, network analysis between keywords, and cluster analysis between each keyword through Concor analysis. By using big data analysis, it was found out that franchise do have interest on food tech. "technology", "franchise", "robots" showed many interests and keyword "R&D" showed that franchise are keen on developing food tech to seize competitiveness in Franchise Industry.

Analysis of University Cafeteria Safety Based on Pathfinder Simulation

  • Zechen Zhang;Jaewook Lee;Hasung Kong
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권2호
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    • pp.209-217
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    • 2024
  • Recent years have seen a notable increase in fire incidents in university cafeterias, yet the social attention to these occurrences remains limited. Despite quick responses to these incidents preventing loss of life, the need for large-scale evacuation in such high foot traffic areas can cause significant disruptions, economic losses, and panic among students. The potential for stampedes and unpredictable damage during inadequate evacuations underscores the importance of fire safety and evacuation research in these settings. Previous studies have explored evacuation models in various university environments, emphasizing the influence of environmental conditions, personal characteristics, and behavioral patterns on evacuation efficiency. However, research specifically focusing on university cafeterias is scarce. This paper addresses this gap by employing Pathfinder software to analyze fire spread and evacuation safety in a university cafeteria. Pathfinder, an advanced emergency evacuation assessment system, offers realistic 3D simulations, crucial for intuitive and scientific evacuation analysis. The studied cafeteria, encompassing three floors and various functional areas, often exceeds a capacity of 1500 people, primarily students, during peak times. The study includes constructing a model of the cafeteria in Pathfinder and analyzing evacuation scenarios under different fire outbreak conditions on each floor. The paper sets standard safe evacuation criteria (ASET > RSET) and formulates three distinct evacuation scenarios, considering different fire outbreak locations and initial evacuation times on each floor. The simulation results reveal the impact of the fire's location and the evacuation preparation time on the overall evacuation process, highlighting that fires on higher floors or longer evacuation preparation times tend to reduce overall evacuation time.In conclusion, the study emphasizes a multifaceted approach to improve evacuation safety and efficiency in educational settings. Recommendations include expanding staircase widths, optimizing evacuation routes, conducting regular drills, strengthening command during evacuations, and upgrading emergency facilities. The use of information and communication technology for managing emergencies is also suggested. These measures collectively form a comprehensive framework for ensuring safety in educational institutions during fire emergencies.

넷플릭스 <오징어 게임> 폐쇄자막 연구 (A Case Study on Closed Captions: Focusing on on Netflix)

  • 정수아;이지민
    • 문화기술의 융합
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    • 제10권2호
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    • pp.279-285
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    • 2024
  • 본 연구는 넷플릭스의 <오징어 게임>을 대상으로 한국어와 영어 폐쇄자막(closed caption)의 정확성과 완전성을 평가하고 이에 따른 시사점을 제시하는 것을 목적으로 한다. 이를 위해 미연방통신위원회(FCC), DCMP, 한국방송통신위원회의 페쇄자막 지침을 파악하고 분석 항목을 분류하였다. <오징어 게임> 전편의 자막을 추출해 비교 분석한 결과, 정확성 측면의 경우 한국어 폐쇄자막은 비속어와 호칭은 정확하게 제시하고 있으나, 화자 식별에서는 존재하지 않는 정보를 미리 제시하는 문제점이 관찰되었다. 영어 폐쇄자막의 경우 화자 식별 지침은 준수하고 있으나 비속어 생략과 호칭 오역의 문제가 있었다. 완전성 측면에서는 한국어와 영어 폐쇄자막 모두 일부가 생략되는 문제가 관찰되었다. 이러한 문제 해결을 위해서는 검수 과정을 강화하고, 번역 과정에서 발견한 원문의 문제점을 소통하는 체계를 마련하며, 영어 일반자막을 활용할 것을 제안한다.

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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    • 제13권1호
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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.

통일의식에 대한 코호트 효과 분석에 관한 연구 (A Study on Cohort Effects of Unification Consciousness of South Korean)

  • 강동선;우경봉
    • 분석과 대안
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    • 제8권2호
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    • pp.31-64
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    • 2024
  • 최근 한국 국민의 통일필요 의식의 하락 추세는 선명하다. 통일필요 의식 하락 추세에 있어 출생 코호트 효과는 존재하는가? 본 연구의 목적은 통일필요 의식에 있어 출생 코호트가 통계적으로 유의미한 영향을 미치는지 분석하는 것이다. 이를 위해 분석모형으로 위계적 연령-기간-코호트(HAPC) 모형을 채용하였으며 2007~2021년 기간 서울대학교 통일평화연구원의 통일의식조사 데이터를 사용하였다. 분석 결과, 출생 코호트 수준에서 경제불평등의 진행이 통일 필요성 인식 하락에 영향을 미쳤다는 증거가 관찰되었다. 소득과 자산의 양극화 진행으로 인해 사회 진출 과정에서 사회경제적 어려움을 겪은 1980년대 출생 코호트는 막대한 재원이 투입되는 남북통일에 대해, 1960년대와 1970년대 출생 코호트와 비교해 선명하게 부정적인 인식을 가지는 것으로 판단된다.

패션산업에서의 AR기술 활용 사례 연구: 활용 유형을 중심으로 (Case Study on AR Technology Use in the Fashion Industry: Focusing on Classification of Use Types)

  • 손미영
    • 감성과학
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    • 제27권1호
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    • pp.81-92
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    • 2024
  • 본 연구에서는 최근 패션산업 내에서 등장하였던 AR 사례들을 제품과 착용자, 공간을 기준으로 그리고 활용 목적이나 용도를 기준으로 분류하여 분석하였다. 국내외 포털(구글, 네이버 등) 및 연구논문에서 분석되었던 패션산업 내에서의 AR기술 활용 사례들을 76개를 수집하여 분석하였다. 연구결과는 다음과 같다. 패션산업 내 AR 사례들은 제품 및 착용자, 공간의 측면에서 모두 실제 및 가상, 실제와 가상의 혼합 형태과 다양하게 활용되고 있었다. 활용용도 측면에서도 디자인 및 상품개발, 마케팅 및 홍보, 패션쇼, 시착, 온라인 및 오프라인 판매 및 유통 등을 위해 다양하고 창의적으로 활용되고 있었다. 특히 AR 기술을 통해 패션제품의 범주, 패션쇼의 개념, 시착의 방식, 마케팅과 홍보 툴, 판매 툴 등이 기존의 틀에서 더욱 창의적으로 확장되고 있음을 확인할 수 있었다. 향후 패션산업 내의 포용적 성장을 위해서 기술적 준비도나 자본, 연령 등에 따른 AR기술 활용 등의 디지털 격차를 해소하는데 정부 및 지자체, 대기업 등이 함께 그 방안을 마련해야 한다.