• Title/Summary/Keyword: Reality Convergence

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『The Death of a Salesman』 reinterpreted by Media Transformation: Focusing on (2017) by Asghar Farhadi (매체 변환을 통해 재해석된 『세일즈맨의 죽음』: 아쉬가르 파라디 감독의 영화 <세일즈맨>(2017))

  • Choi, Young-hee;Lee, Hyun-Kyung
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.193-198
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    • 2022
  • Arthur Miller's play has been reproduced for a long time, and has been made into a film several times. Director Asghar Farhadi made a film set in Iran in the 21st century, showing the film (2017), which excludes "Death" from the original title. is not just a movie of . In , the play is summoned in the form of performing a play. There are many movies in this form, but is an exquisite fabrication so that the reality outside the play and the content in the play harmonize with each other. The play depicts the tragedy of the head of the family who falls at the end of the American dream. The movie transforms this tragedy into a conflict between a young couple living in Iran in the 21st century. In addition, is completed as an independent work that not only rearranged the space and characters of the original work, but also reinterpreted the meaning of death, creating the effect of media conversion such as theater and film.

In the Digital Big Data Classroom Reality and Application of Smart Education : Learner-Centered Education using Edutech (디지털 빅데이터 교실에서 스마트교육의 실제와 활용 : 에듀테크를 활용한 학습자 중심 교육)

  • Kim, Seong-Hee
    • Journal of Korea Entertainment Industry Association
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    • v.15 no.4
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    • pp.279-286
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    • 2021
  • In this study, we looked at the appearance of Edutech, which is being put into the educational field after Corona 19, with the advent of the 4th industrial revolution. In the era of the 4th industrial revolution, the infrastructure, data, and service of Smart Stick that actively utilized ICT became the main pillars of smart education. In particular, smart education is being implemented through e-learning, smart learning, and edutech, and on this basis, it has become possible through the expansion and use of the Internet and computers, the dissemination of smart devices, and a software foundation using big data. Based on this, it was confirmed that Edutech is being implemented through the establishment of a quarantine safety net, a learning safety net, and a care safety net for individual learners and safe life based on artificial intelligence. Lastly, in order for edutech education using big data to become a discourse for everyone, it is necessary to consider artificial intelligence and ethics in the use and application of edutech.

The Effect of 360-degree VR Tourism Contents Motivations, Flow, Continuance Usage Intention on Visit Intention - For Chinese Student in Korea (360° VR 관광 콘텐츠의 이용동기, 플로우, 지속사용의도가 방문의도에 미치는 영향 - 한국 체류 중국인 유학생 대상으로)

  • Seok, Hwayoon;Lu, Chen;Nam, Yoonjae
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.389-398
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    • 2022
  • Recently, tourism and leisure related VR contents have gained attention of potential tourists. Therefore, this study aimed to analyze investigate the effects of 360-degree VR tourism contents motivations, flow, continuance usage intention on visit intention for Chinese student in Korea. This study found that hedonic benefit and personal benefit exerted a positive influence on visit intention of contents users. However, vividness and usability did not influence on visit intention. Moreover, flow exerted a significant influence on visit intention but continuance usage intention did not influence on visit intention. The study is significant in shedding light on whether the motivations, flow, continuance usage intention of 360-degree VR tourism contents influences visit intention. It is suggested that the consumption of 360-degree VR tourism contents can be a useful marketing tool for strength of intention to visit.

A general-purpose model capable of image captioning in Korean and Englishand a method to generate text suitable for the purpose (한국어 및 영어 이미지 캡션이 가능한 범용적 모델 및 목적에 맞는 텍스트를 생성해주는 기법)

  • Cho, Su Hyun;Oh, Hayoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.8
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    • pp.1111-1120
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    • 2022
  • Image Capturing is a matter of viewing images and describing images in language. The problem is an important problem that can be solved by keeping, understanding, and bringing together two areas of image processing and natural language processing. In addition, by automatically recognizing and describing images in text, images can be converted into text and then into speech for visually impaired people to help them understand their surroundings, and important issues such as image search, art therapy, sports commentary, and real-time traffic information commentary. So far, the image captioning research approach focuses solely on recognizing and texturing images. However, various environments in reality must be considered for practical use, as well as being able to provide image descriptions for the intended purpose. In this work, we limit the universally available Korean and English image captioning models and text generation techniques for the purpose of image captioning.

Discussing Metaverse Ethics with a Movie on Metaverse, 'Ready Player One' (메타버스를 영화 '레디 플레이어 원(Ready Player One)'을 통해 살펴본 메타버스 윤리)

  • Kim, Seong-Hee;Yi, Sang-Wook
    • Journal of Broadcast Engineering
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    • v.27 no.5
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    • pp.665-675
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    • 2022
  • After the COVID-19 pandemic, there has been growing interests in metaverse technology and social use of virtual reality platforms in non-face-to-face environments, but social issues and ethical concerns raised by metaverse have not been sufficiently discussed. In this paper, we discuss the social functions of the metaverse by examining the movie 'Ready Player One', and investigate the ethical problems that may arise in various implementation of metaverse. We identify the potential ethical problems that could occur in the context of metaverse including identity fragmentation, metaverse violence and crime, and mismanagement of personal information. We also propose some promising approaches to tackle these ethical problems ranging over descriptive ethics, normative ethics, and analytical (meta) ethics.

Analysis of Psychological Factors Inducing Cybercrime (사이버범죄를 유발하는 심리적요인 분석)

  • Lim, HeonWook
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.157-163
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    • 2021
  • This study attempted to find individual reasons for inducing cybercrime. The survey was conducted targeting investigators and security experts on 11 types of cybercrime. There are 16 internal factors that cause crime and classified according to Maslow's 5 steps. As a result of the survey on a total of 176 items, the credibility of the Cronbach's Alpha coefficient was 0.925. The result of the factor analysis is as follows. Factor analysis results are maslow phase 1 physiological desire is commercial, sykes. Phase 2 safety desires are not punishable and crowd. The three-stage social desire is impulsiveness, indifference, etc. The fourth stage of respect is anonymity and honor. The desire for self-reality in stage 5 has been reduced to indesity, a loss of moderation, morality, and media effects. In conclusion, the physiological desire, the desire for respect for the crime of infringing on the information and communication network, the desire for menstruation, the desire for self-realization for the crime of using information and communication networks, the desire for self-actualization for the crime of illegal content. It was in the order of desire.

Attention-based word correlation analysis system for big data analysis (빅데이터 분석을 위한 어텐션 기반의 단어 연관관계 분석 시스템)

  • Chi-Gon, Hwang;Chang-Pyo, Yoon;Soo-Wook, Lee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.27 no.1
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    • pp.41-46
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    • 2023
  • Recently, big data analysis can use various techniques according to the development of machine learning. Big data collected in reality lacks an automated refining technique for the same or similar terms based on semantic analysis of the relationship between words. Since most of the big data is described in general sentences, it is difficult to understand the meaning and terms of the sentences. To solve these problems, it is necessary to understand the morphological analysis and meaning of sentences. Accordingly, NLP, a technique for analyzing natural language, can understand the word's relationship and sentences. Among the NLP techniques, the transformer has been proposed as a way to solve the disadvantages of RNN by using self-attention composed of an encoder-decoder structure of seq2seq. In this paper, transformers are used as a way to form associations between words in order to understand the words and phrases of sentences extracted from big data.

An exploratory study on the development plan of the medical tourism industry in the context of the COVID-19 pandemic (코로나 19팬데믹 상황에서 의료관광 산업의 발전 방안에 관한 탐색적 연구)

  • Yoon, Kyung Jae
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.4
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    • pp.577-582
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    • 2021
  • This study was conducted to find ways to restore the domestic medical tourism industry, which was seriously hit by a sharp drop in foreign patients after the COVID-19 Pandemic. Kendall's W verification was used by asking expert panel for keyword advice by ranking. The conclusion of the study is that institutions attracting foreign patients need an opportunity to turn the crisis situation into an opportunity by expanding treatment for severe foreign patients. In addition, it is possible to gain familiarity and trust in hospitals in situations where it is difficult to visit overseas through virtual and augmented reality, and to prevent the risk of infection and protect patients in the untact era. In addition, the blockchain can maintain patient information supplementation, share it safely, minimize customer inconvenience by using payment means using virtual currency, and finally, smart healthcare can manage and provide information to patients regardless of location.

Digital Twin Model Design And Implementation Using UBS Process Data (UBS공정 데이터를 활용한 디지털트윈 모델 설계 및 구현)

  • Park, Seon-Hui;Bae, Jong-Hwan;Ko, Ho-Jeong
    • Journal of Internet of Things and Convergence
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    • v.8 no.3
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    • pp.63-68
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    • 2022
  • Due to COVID-19, many paradigm shifts in existing manufacturing facilities and the expansion of non-face-to-face services are accelerating worldwide. A representative technology is digital twin technology. Such digital twin technology, which existed only conceptually in the past, has recently become feasible with the construction of a 5G-based network. Accordingly, this paper designed and implemented a part of the USB process to enable digital twins based on OPC UA communication, which is a standard interlocking structure, between real object objects and virtual reality-based USB process in accordance with this paradigm change. By reflecting the physical characteristics of real objects together, it is possible to simulate real-time synchronization of these with real objects. In the future, this can be applied to various industrial fields, and it is expected that it will be possible to reduce costs for decision-making and prevent dangerous accidents.

Factors Affecting Academic Achievement of Nursing Students in Non-face-to-face Distance Learning (비대면 원격 수업에서 간호대학생의 학업성취도에 영향을 미치는 요인)

  • Park, Sunah;Lee, Seungmin
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.111-119
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    • 2022
  • This study examined the relationship of self-directed learning ability, teaching presence, learning flow and academic achievement of nursing students in non-face-to-face class. Data were collected through self reported structured questionnaire in 146 nursing students from June 19 to 20, 2021. Data were analyzed using SPSS/WIN 23.0. As a result this study, academic achievement was positively correlated with self-directed learning ability, teaching presence and learning flow. As result regression analysis, learning flow, self-directed learning ability and teaching presence explained 67% of the academic achievement in nursing students. Therefore, based on this study it will be more effective to improve academic achievement of instructional design and customized instructional methods that can improve self-directed learning ability, teaching reality and learning commitment are applied together in non-face-to-face classes.