• Title/Summary/Keyword: The Fourth Industrial Technology

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Construction Automation and Robotics: Innovative Challenges and Opportunities

  • Junbok Lee
    • International Journal of High-Rise Buildings
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    • v.12 no.4
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    • pp.343-350
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    • 2023
  • With the advent of the recent Fourth Industrial Revolution, efforts are vigorously underway to comprehend the new paradigm of Construction 4.0, following in the footsteps of Industry 4.0, and to establish novel production systems. The necessity and significance of technological advancements in the field of construction automation and robotics, a pivotal component for Construction 4.0, are being emphasized. This paper aims to discuss the concept of construction automation and robotics, encompassing its past, present, and future prospects. Particularly, it reviews the six relevant papers featured in the June 2022 special issue of IJHRB, along with discussions on the integration of cutting-edge ICT technologies and R&D in the realm of automation and robotics. With the progression of ICT technology, the domain of construction automation and robotics is anticipated to play a substantial role in the realization of Construction 4.0 and smart construction through more dynamic convergence in technological development.

Exploring the Trends and Challenges of Artificial Intelligence Education through the Analysis of Newspapers in Korea, 1991-2020: A topic-modeling approach

  • Kim, Sung-ae
    • Journal of information and communication convergence engineering
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    • v.18 no.4
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    • pp.216-221
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    • 2020
  • Artificial intelligence (AI), an essential skill of the Fourth Industrial Revolution, is being actively taught in higher education; however, AI education is only in the preparatory stage in elementary, middle, and high schools. Investigating various newspaper articles related to AI education to date can aid in basic data collection, which is an important process in the preparatory stage. Accordingly, 13,378 newspaper articles were collected from a total of 21 newspapers, and five topics were extracted using the latent Dirichlet allocation (LDA)-based topic model along with frequency analysis. Newspaper articles from the early 2000s expanded to technologies related to the Fourth Industrial Revolution. Accordingly, education in AI fields should be linked with education in AI-based technology. In addition, efforts should be made to secure the continuity and sequence of AI education in cooperation with related higher institutions and companies.

The Fourth Industrial Revolution Core Technology Association Analysis Using Text Mining (텍스트 마이닝을 활용한 4차 산업혁명 핵심기술 연관분석)

  • Ryu, Jae-Han;You, Yen-Yoo
    • Journal of Digital Convergence
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    • v.16 no.8
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    • pp.129-136
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    • 2018
  • This study analyzed technology application field and technology transfer type related to the 4th industrial revolution using frequency, visualization, and association analysis of text mining of Big Data. The analysis was conducted between the last three years (2015 - 2017) registered with the NTB of KIAT transfer technology database was utilized. As a result of analysis, First, First, transfer technologies called core technologies of the Fourth Industrial Revolution are a lot of about robots, 3D, autonomous driving, and wearables. Second, as the year go by, transfer technolgy registration such as IoT, Cloud, VR is increasing. Third, the results of the association analysis of technology transfer type are as follows. IoT and VR showed preference for technology trading and licensing, autonomous driving technology trading, wearable licensing, robots preferring technology cooperation, licensing, and technology trading.

A Study on Agile Transformation in the New Digital Age

  • Lee, Jee Young
    • International Journal of Advanced Culture Technology
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    • v.8 no.1
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    • pp.82-88
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    • 2020
  • In the face of recent digital and digital transformation, companies and industries are trying to be agile to adapt and respond to change. Agile paradigm is spreading beyond the boundaries of existing applications such as IT-related projects and software development. In this regard, this study, we analyzed the diffusion of agile paradigm by text mining abstracts of research papers from 2001 to 2019. In addition, we discussed agile transformation in the Fourth Industrial Revolution. Through this study, we confirmed that we are studying agile transformation in various fields such as business environment, corporate organizational culture, manufacturing industry, and supply chain. The results of this study will contribute to understanding the meaning and role of agile as a basic paradigm for digital transformation in the Fourth Industrial Revolution.

The Suggestion of a Mountaineering and Trekking Convergence Education Course Using AI

  • Jae-Beom, CHOI;Chan-Woo, YOO
    • Fourth Industrial Review
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    • v.3 no.1
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    • pp.1-12
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    • 2023
  • Purpose - In Korea, where 64% of the land is forested, mountaineering is a leisure activity enjoyed by the majority of the people. As new technologies named the 4th industrial revolution spread more after the Covid-19 pandemic, we propose a human and technology convergence curriculum for mountaineering and trekking education to enjoy safety in the field of mountaineering and trekking using cutting-edge technology. Research design, data, and methodology - After examining the current state of the mountaineering industry and preceding studies on mountaineering and camping, and learning about BAC the 100 famous mountains, mountaineering gamification, and Gamification We designed an AI convergence curriculum using. Result - Understanding the topography and characteristics of mountains in Korea, acquiring mountaineering information through AI convergence, selecting mountaineering equipment suitable for the season, terrain, and weather, setting educational goals to safely climb, and deriving term project results. A total of 15 A curricula for teaching was proposed. Conclusion - Artificial intelligence technology is applied to the field of mountaineering and trekking and used as a tool, and it is expected that the base of mountaineering will be expanded through safe, efficient, fun, and sustainable education. Through this study, it is expected that the AI convergence education curriculum for mountaineering and trekking will be developed and advanced through several studies.

Education for 4th Industrial Revolution (4차산업혁명을 준비하는 교육)

  • Park, Jae-Hwan;Ahn, Jeeyoung
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.5
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    • pp.885-892
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    • 2018
  • A series of revolutionary industrial changes took place from the 18th century of the First Industrial Revolution. The fourth industrial revolution is a new industrial revolution in which intelligence and information unite. Social, cultural, economic and educational systems are expected to emerge within the category of access and experience. In the course of intelligent mechanization, manpower and machinery need to be commandeered. Tools should be left to the machine and humans should look at essential issues. In the 4th Industrial Revolution, the paradigm of education should fundamentally change. Instead of routine technologies based on memorization, one should learn how to access and utilize. It needs to focus on areas of debate, cooperation, communication, sensibility, and artistry that robots and artificial intelligence can not afford. The fourth industrial revolution is the fusion of human beings and technology, the humanities and the technology.

Trends of Big Data and Artificial Intelligence in the Fashion Industry (빅데이터와 인공지능을 중심으로 한 패션산업의 동향)

  • Kim, Chi Eun;Lee, Jin Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.42 no.1
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    • pp.148-158
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    • 2018
  • This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.

The Task and View of the National Archive System in the Fourth Industrial Revolution Era: Focused on the Cloud Record Management System (4차 산업혁명 시대의 기록관리 현실과 전망: 클라우드 기록관리시스템 운영을 중심으로)

  • Nam, Kyeong-ho
    • Proceedings of Korean Society of Archives and Records Management
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    • 2019.05a
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    • pp.55-60
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    • 2019
  • The cloud records management system has the following problems. It has not been accompanied by a change in the legislative system and has not been exploited the benefits of cloud technology. In addition, it has not been considered for changes after system construction. To solve this problem, the contents of the Fourth Industrial Revolution should be reflected in the improvement of the legislative system and the long-term development strategy of the national archives system. A fundamental review of the records management system is also required, and in the process of e-government, the National Archives should act as a pan-government records management control tower.

The Government's Supporting Strategies to the Productive Prosumer Economy for the Successful Transition to the Fourth Industrial Revolution Era: Human Resource Development Perspectives for Solving Job problems (4차 산업혁명시대, 생산적인 프로슈머 이코노미로의 전환을 위한 정책제언: 일자리문제 해결을 위한 인적자원개발의 관점에서)

  • Lim, Ji-Sun
    • Informatization Policy
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    • v.24 no.2
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    • pp.87-104
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    • 2017
  • The Fourth Industrial Revolution, which is based on the development of information and communication technology (ICT), is expected to replace human knowledge work, which will cause problems of mass unemployment and wide income gap from job polarization. Furthermore, the change is expected to be rapid and wide, demanding proactive measures to respond to such abrupt social changes. However, previous literatures assume that the traditional form of employment will continue and provide limited solutions only. On the other hand, the Fourth Industrial Revolution will enable transition to the Prosumer Economy, which will ultimately lead consumers to become producers through increased job flexibility. If the prosumer economy arrives and the consumers become producers, it will no longer be the matter of finding workplace but rather, the matter of finding the work itself. In this regard, the new technologies of the Fourth Industrial Revolution can be the fundamental solution to such job issues. This paper suggests stable transition to the Prosumer Economy in order to solve the job issues in the age of the Fourth Industrial Revolution. In order to effectively support the process, this paper suggests first, ensuring the amount of education by shortening labor time; second, facilitating life-time education through free online education service; and third, closing the digital divide through mandatory use of the e-government system.

A Study on Research Trend Analysis and Topic Class Prediction of Digital Transformation using Text Mining

  • Lee, JeeYoung
    • International journal of advanced smart convergence
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    • v.8 no.2
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    • pp.183-190
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    • 2019
  • In the era of the Fourth Industrial Revolution, digital transformation, which means changes in all industrial structures, politics, economics and society as well as IT technology, is an important issue. It is difficult to know which research topic is being studied because digital transformation is being studied in various fields. Convergence research is possible because a research topic is studied in various fields such as computer science area and Decision science area. However, it is difficult to know the specific research status of the research topic. In this study, eight research topics were derived using the topic modeling technique of text mining for abstract of academic literature and the trend of each topic was analyzed. We also proposed to create a Topic-Word Proportions Table in the LDA based Topic modeling process to predict the topic of new literature. The results of this study are expected to contribute to advanced convergence research on topic of digital transformation. It is expected that the literature related to each research topic will be grasped and contribute to the design of a new convergence research.