• Title/Summary/Keyword: 디지털 패러다임

Search Result 475, Processing Time 0.025 seconds

A study on the establishment of Korean-Chinese language education service platform using AR/VR technology (AR/VR 기술을 활용한 한-중 어학교육 서비스 플랫폼 구축방안 연구)

  • Chun, Keung;Yoo, Gab Sang
    • Journal of Digital Convergence
    • /
    • v.17 no.9
    • /
    • pp.23-30
    • /
    • 2019
  • The development of content for language education using AR/VR technology is a necessary task to be pursued in line with commercialization of 5G. Research on service platform for systematic management and service is currently being carried out by global companies competitively, The unique language education service model for unique areas of culture has the right to pursue R & D jointly with Korea and China. In this study, we applied the developed "Korean language education service platform for Chinese people based on e-learning" to improve the acceptance of AR/VR contents and applied AR/VR technology to video-based language education contents. And to present a new paradigm of language education. Contents development is to develop AR-based vocabulary learning services, develop experiential learning contents for VR-based step-by-step situations, and gradually develop contents to enable beginner / intermediate / advanced language education services. The service platform enables management of learning management and learning contents, and complies with metadata attributes to complete a platform capable of accommodating large capacity AR/VR contents. In the future, systematic research will be carried out in order to develop as a portal for educational services through development of various contents using mixed reality technology.

A Study and Analysis on Case Study of Security Evaluation Tool (보안성 평가 도구 사례 분석 연구)

  • Kim, Hyun-il;Park, Kyungyun;Seo, Changho;Moon, Daesung
    • Journal of Digital Convergence
    • /
    • v.17 no.1
    • /
    • pp.347-356
    • /
    • 2019
  • Recently, the liberalization of industrial control systems has been accompanied by a major change in the structural paradigm of information systems in the public and public sectors, and potential cyber security problems in the future major infrastructure control systems that cannot respond to the level of security of existing information systems. To cope with this, a cyber security evaluation tool that can evaluate security vulnerability in three dimensions against various infrastructure control system environment is needed. However, a cyber security evaluation in the domestic environments does not have the concept of the current security status and satisfy settings of the infrastructure. Also, the most of items in that environments have had short-term inspection themselves which makes a limitation by a technical area. In order to overcome this problems, many researches are needed to apply CSET (Cyber Security Evaluation Tool) which is the US cyber security evaluation tool to the control environment of various domestic infrastructure. In this paper, first, we analyze methods to apply to the major domain through the analysis of various case studies on existing security assessement tools. Finally, we discuss future directions.

Through load prediction and solar power generation prediction ESS operation plan(Guide-line) study (부하예측 및 태양광 발전예측을 통한 ESS 운영방안(Guide-line) 연구)

  • Lee, Gi-Hyun;Kwak, Gyung-il;Chae, U-ri;KO, Jin-Deuk;Lee, Joo-Yeoun
    • Journal of Digital Convergence
    • /
    • v.18 no.12
    • /
    • pp.267-278
    • /
    • 2020
  • ESS is an essential requirement for resolving power shortages and power demand management and promoting renewable energy at a time when the energy paradigm changes. In this paper, we propose a cost-effective ESS Peak-Shaving operation plan through load and solar power generation forecast. For the ESS operation plan, electric load and solar power generation were predicted through RMS, which is a statistical measure, and a target load reduction guideline for one hour was set through the predicted electric load and solar power generation amount. The load and solar power generation amount from May 6th to 10th, 2019 was predicted by simulation of load and photovoltaic power generation using real data of the target customer for one year, and an hourly guideline was set. The average error rate for predicting load was 7.12%, and the average error rate for predicting solar power generation amount was 10.57%. Through the ESS operation plan, it was confirmed that the hourly guide-line suggested in this paper contributed to the peak-shaving maximization of customers.Through the results of this paper, it is expected that future energy problems can be reduced by minimizing environmental problems caused by fossil energy in connection with solar power and utilizing new and renewable energy to the maximum.

A Study on the production of Music Content Using Artificial Intelligence Composition Program (인공지능 작곡 프로그램을 활용한 음악 콘텐츠 제작 연구)

  • Park, Dahae
    • Trans-
    • /
    • v.13
    • /
    • pp.35-58
    • /
    • 2022
  • This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.

High-Resolution Sentinel-2 Imagery Correction Using BRDF Ensemble Model (BRDF 앙상블 모델을 이용한 고해상도 Sentinel-2 영상 보정)

  • Hyun-Dong Moon;Bo-Kyeong Kim;Kyeong-Min Kim;Subin Choi;Euni Jo;Hoyong Ahn;Jae-Hyun Ryu;Sung-Won Choi;Jaeil Cho
    • Korean Journal of Remote Sensing
    • /
    • v.39 no.6_1
    • /
    • pp.1427-1435
    • /
    • 2023
  • Vegetation indices based on selected wavelength reflectance measurements are used to represent crop growth and physiological conditions. However, the anisotropic properties of the crop canopy surface can govern spectral reflectance and vegetation indices. In this study, we applied an ensemble of bidirectional reflectance distribution function (BRDF) models to high-resolution Sentinel-2 satellite imagery and compared the differences between correction results before and after reflectance. In the red and near-infrared (NIR) band reflectance images, BRDF-corrected outlier values appeared in certain urban and paddy fields of farmland areas and forest shadow areas. These effects were equally observed when calculating the normalized difference vegetation index (NDVI) and 2-band enhanced vegetation index (EVI2). Furthermore, the outlier values in corrected NIR band were shown in pixels shadowed by mountain terrain. These results are expected to contribute to the development and improvement of BRDF models in high-resolution satellite images.

An Empirical Study on the Efficacy of Mindfulness Activation Tools for Psychological Stability Support: A Focus on Voluntary Groups (심리 안정을 지원하는 현존의식 활성화 도구의 효용성 연구 - 자발적 포커스그룹 중심)

  • Joong Ho Lee
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.4
    • /
    • pp.383-388
    • /
    • 2024
  • This study conducted voluntary focus group user observations to empirically validate the efficacy of the self-developed psychological support mobile application, "Mindful Now". The app is structured as an interactive game format, enabling individuals to activate self-awareness of mindfulness states anytime, anywhere. It consists of a 3-step process of sensory/emotional/consciousness awareness, facilitating the expression of non-judgmental awareness. To demonstrate the effectiveness of this mindful activation in enhancing psychological well-being such as happiness and stress reduction, voluntary mindfulness mobile app usage was tracked among 49 university students. The results revealed significant improvements, with a 14.4% increase in SWLS happiness index and a 17.1% decrease in PSS-10 stress levels among 12 users who used the app continuously for over 60 days to practice mindfulness awareness. Particularly, higher app engagement was observed among students who initially reported relatively lower indices before using the app. The utilization of mobile apps that promote mindful activation aligns with various therapeutic paradigms based on mindfulness and meditation, contributing to advancements in digital therapeutic interventions for psychological support.

A Comparative Study between Vocational Training Using Virtual Reality and Traditional Training: Focusing on Industrial Cranes (가상현실을 활용한 직업훈련과 전통적인 훈련과의 비교연구: 산업용크레인을 중심으로)

  • Seong-Yeon Mun;Hyun-Jung Oh;Sang-Joon Lee
    • Journal of Practical Engineering Education
    • /
    • v.16 no.4
    • /
    • pp.529-540
    • /
    • 2024
  • In industrial sites, experiential virtual training contents are partially used to replace high-risk and high-cost training, and virtual training contents development is also becoming active along with the increasing demand for non-face-to-face industries. Existing studies mainly focused on quantitative research through surveys, and only measured the change in users' learning commitment. This study attempted to investigate the effect of the combination of theoretical education and virtual training on the improvement of actual job performance in a dual vocational training environment by conducting an experimental study. This study studied whether the combination of theoretical education and virtual training can improve the performance of vocational training in dual vocational training (comparative work and learning) in which companies and schools participate. The results of pre- and post-evaluation of vocational training using traditional vocational training and virtual training contents were compared with 24 vocational training trainees. As a result of the study, it was demonstrated that the outcome of virtual training education was higher than that of traditional vocational training, and the combination of virtual reality-based education was more effective in theoretical education. This study suggests that the virtual training content presents a new paradigm for industrial safety education, and through the interview results of trainees, it was confirmed that virtual training can lead to a change in attitude toward safety beyond just knowledge transfer. This contributes to the prevention of safety accidents in industrial sites and provides important implications for improving the quality of vocational training.

Professional Baseball Viewing Culture Survey According to Corona 19 using Social Network Big Data (소셜네트워크 빅데이터를 활용한 코로나 19에 따른 프로야구 관람문화조사)

  • Kim, Gi-Tak
    • Journal of Korea Entertainment Industry Association
    • /
    • v.14 no.6
    • /
    • pp.139-150
    • /
    • 2020
  • The data processing of this study focuses on the textom and social media words about three areas: 'Corona 19 and professional baseball', 'Corona 19 and professional baseball', and 'Corona 19 and professional sports' The data was collected and refined in a web environment and then processed in batch, and the Ucinet6 program was used to visualize it. Specifically, the web environment was collected using Naver, Daum, and Google's channels, and was summarized into 30 words through expert meetings among the extracted words and used in the final study. 30 extracted words were visualized through a matrix, and a CONCOR analysis was performed to identify clusters of similarity and commonality of words. As a result of analysis, the clusters related to Corona 19 and Pro Baseball were composed of one central cluster and five peripheral clusters, and it was found that the contents related to the opening of professional baseball according to the corona 19 wave were mainly searched. The cluster related to Corona 19 and unrelated to professional baseball consisted of one central cluster and five peripheral clusters, and it was found that the keyword of the position of professional baseball related to the professional baseball game according to Corona 19 was mainly searched. Corona 19 and the cluster related to professional sports consisted of one central cluster and five peripheral clusters, and it was found that the keywords related to the start of professional sports according to the aftermath of Corona 19 were mainly searched.

A Study of Measures to Support Startup Company Development: Focusing on DeepTech Startups (스타트업 기업 육성지원 방안 연구: 딥테크(DeepTech) 스타트업을 중심으로)

  • Chang-Kyu Lee;SungJoo Hwang;Hui-Teak Kim
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • v.19 no.2
    • /
    • pp.63-79
    • /
    • 2024
  • The startup ecosystem is experiencing a paradigm shift in founding due to the acceleration of digital transformation, online platform companies have grown significantly into unicorns, but the lack of differentiated approaches and strategic support for deep tech startups has led to the inactivity of the startup ecosystem. is lacking. Therefore, in this study, we proposed ways to develop domestic startup development policies, focusing on the US system, which is an advanced example overseas. Focusing on the definition and characteristics of deep tech startups, current investment status, success stories, support policies, etc., we comprehensively analyzed domestic and international literature and derived suggestions. In particular, he proposed specific ways to improve support policies for domestic deep tech startups and presented milestones for their development. Currently, the United States is significantly strengthening the role of the government in supporting deep tech startups. The US government provides direct financial support to deep tech startups, including detergent support and infrastructure support. It has also established policies to foster deep tech startups, established related institutions, and systematized support. It is worth noting that US universities play a core role in nurturing deep tech startups. Leading universities in the United States operate deep tech startup discovery and development programs, providing research and development infrastructure and technology. It also works with companies to provide co-investment and commercialization support for deep tech startups. As a result, the growth of domestic deep tech startups requires the cooperation of diverse entities such as the government, universities, companies, and private investors. The government should strengthen policy support, and universities and businesses should work together to support R&D and commercialization capabilities. Furthermore, private investors must stimulate investment in deep tech startups. Through such efforts, deep tech startups are expected to grow and Korea's innovation ecosystem will be revitalized.

  • PDF

The Impact of Entrepreneurial Orientation and External Oriented Organizational Culture on the Korean Manufacturing SMEs' Performance: Focusing on the Mediation Effect of Open Innovation (기업가 지향성과 개방적 조직문화가 기업성과에 미치는 영향: 개방형 혁신의 매개효과를 중심으로)

  • Lee, Eung-Seog;Kim, Byung-Keun
    • Journal of Technology Innovation
    • /
    • v.26 no.2
    • /
    • pp.37-68
    • /
    • 2018
  • This study examines the effects of entrepreneurial orientation and external oriented organizational culture on the firm perfornamance focusing on mediating effects of open innovation. The survey was conducted on Korean manufacturing firms with 100-5,000 employees among listed companies and external auditing companies. The validity of the research model and hypotheses was verified through analysis of structural equation model for 283 valid responses. Empirical results show that entrepreneurial orientation positively affects both open innovation and firm's performance. The external oriented organizational culture of firms appears to be positive effects on open innovation, but the effect between the external oriented organizational culture and firm's performance shows no statistical significance. Open innovation have positive effects on firm performance. In addition, a test for mediation effects of open innovation reveals that a full mediation exists between the external oriented organizational culture and firm's performance, while there is a partial mediation effect between entrepreneurial orientation and firm's performance. This study contribute to the literature by deepening understanding on the open innovation. We propose an integrated model for examining antecedent factors, open innovation and performance.