• Title/Summary/Keyword: Industrial Convergence

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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.

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.

Control strategies of energy storage limiting intermittent output of solar power generation: Planning and evaluation for participation in electricity market

  • Sewan Heo;Jinsoo Han;Wan-Ki Park
    • ETRI Journal
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    • v.45 no.4
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    • pp.636-649
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    • 2023
  • Renewable energy generation cannot be consistently predicted or controlled. Therefore, it is currently not widely used in the electricity market, which requires dependable production. In this study, reliability- and variance-based controls of energy storage strategies are proposed to utilize renewable energy as a steady contributor to the electricity market. For reliability-based control, photovoltaic (PV) generation is assumed to be registered in the power generation plan. PV generation yields a reliable output using energy storage units to compensate for PV prediction errors. We also propose a runtime state-ofcharge management method for sustainable operations. With variance-based controls, changes in rapid power generation are limited through ramp rate control. This study introduces new reliability and variance indices as indicators for evaluating these strategies. The reliability index quantifies the degree to which the actual generation realizes the plan, and the variance index quantifies the degree of power change. The two strategies are verified based on simulations and experiments. The reliability index improved by 3.1 times on average over 21 days at a real power plant.

Trends in Utilization of GNSS for E-Healthcare and AI & IoT Field (E-Healthcare와 AI & IoT 분야의 위성항법시스템 최신 활용 동향)

  • Tae-yun Kim;Heui-Seon Park;Jongwon Lim;Suk-seung Hwang
    • Journal of Positioning, Navigation, and Timing
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    • v.13 no.1
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    • pp.15-23
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    • 2024
  • One of the core keywords in the fourth industrial revolution is convergence, and the convergence of the production, distribution, and consumption processes of services is particularly important. The convergence of user services is underway in various industrial fields including mobile communications, healthcare, mobility, artificial intelligence, etc. In order to offer these converged services efficiently, it is necessary to provide accurate user-centric location information, which can be obtained by employing the global navigation satellite system (GNSS). In addition, as we have entered the post-COVID era, the demand for various fields such as a healthcare, customized tourism services, and aviation services based on accurate location information is exploding. In this paper, we present the results of a case study on the current research trends of GNSS used in telemedicine services and AI & IoT fields, and also analyze these results.

A Study on the Understanding and Solving Tasks of AI Convergence Education (AI 융합교육의 이해와 해결 과제에 대한 고찰)

  • Sook-Young Choi
    • Journal of Industrial Convergence
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    • v.21 no.1
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    • pp.147-157
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    • 2023
  • In this study, we approached from the perspective of AI convergence education in elementary, middle and high schools to understand AI convergence education. We examined what capabilities AI convergence education ultimately seeks to pursue, and analyzed various examples of AI convergence education in three dimensions: core curriculum, convergence model, AI learning elements and learning activities. In addition, factors to be considered in order for AI convergence education to be actively carried out include the cultivation of AI convergence education capabilities of teachers, the development and dissemination of AI teaching and learning methods and teaching and learning models, and evaluation methods for AI convergence education.

Development Direction of Defense Weapon System for the 4th Industrial Revolution (4차 산업혁명 대응을 위한 국방 무기체계 개발 발전방향)

  • Kim, Sang-Hun;Chey, Seung-Woo;Hong, Sung-pyo
    • Journal of the Korean Society of Industry Convergence
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    • v.22 no.2
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    • pp.71-79
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    • 2019
  • Since the announcement of President Klaus Schwab's fourth industrial revolution at the World Economic Forum in Davos, Switzerland in January 2016, the fourth industrial revolution has emerged as a hot topic in our society. The United States, Japan, China, and Germany, which are major advanced nations, are preparing and implementing a strategy and system for responding to the Fourth Industrial Revolution, focusing on information and communication technology (ICT) and manufacturing convergence in response to the fourth industrial revolution era. Korea is announcing the expansion of financial support for R & D investment budget and related industries for major technology related to revolution. In this paper, we analyze the defense R & D project procedure of the Defense Improvement Project, which is responsible for the development of the defense weapon system, and present the development direction of the defense weapon system in accordance with the 4th world industrial revolution trend.

Analyzing the Major Issues of the 4th Industrial Revolution

  • Jeon, Jeonghwan;Suh, Yongyoon
    • Asian Journal of Innovation and Policy
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    • v.6 no.3
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    • pp.262-273
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    • 2017
  • Recently, the attention to the $4^{th}$ Industrial Revolution has been increasing. In the $4^{th}$ Industrial Revolution era, the boundaries between physical space, digital space, and biological space are becoming blurred because of the active convergence between various fields. There are many issues about the $4^{th}$ Industrial Revolution such as artificial intelligence, Internet of things, big data, and cyber physical system. To cope with the $4^{th}$ Industrial Revolution, an accurate analysis and technology planning need to be undertaken from a broad point of view. However, there is little research on the analysis of the major issues about the 4th Industrial Revolution. Accordingly, this study aims to analyse these major issues. Data mining such as topic modelling method is used for this analysis. This study is expected to be helpful for the researcher and policy maker of the 4th Industrial Revolution.

A Patent Trend Analysis for Technological Convergence of IoT and Wearables (IoT와 Wearables 기술융합을 위한 특허동향분석)

  • Kang, Ji Ho;Kim, Jong Chan;Lee, Jun Hyuck;Park, Sang Sung;Jang, Dong Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.3
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    • pp.306-311
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    • 2015
  • This study aims at analyzing the convergence of Internet-of-Things and wearables technologies using cooperative patent classification(CPC). CPC, introduced to an increasing number of technological fields of Korean patents, is expected to be widely used in Patent Informatics because the classification codes in CPC are more specific than those of IPC, which reflect the characteristics of technologies in detail with accuracy. CPC has seldom been used up to date and most of the previous researches on technological convergence used IPC. As a pre-analysis step for analyzing the trend of technological convergence of IoT and wearables, CPC and IPC codes assigned to each patent were compared. By applying association rule mining to the analysis of CPC codes, we identified the technological fields where convergence frequently takes place and examined the trend of technological convergence over time.

Resaerch Trend and Cocentualization of Defense Industry Security From Convergence Security Perspective (융합보안 관점에서 방위산업보안 개념 정립과 연구동향 분석)

  • Woo, Kwang Jea
    • Convergence Security Journal
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    • v.15 no.6_1
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    • pp.69-78
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    • 2015
  • Methods that industrial spies use to smuggle core technology out are becoming more intelligent, technological, and complex, thus resulting in more serious damages. In particular, defense industries in which involve national core technology as well as institutions including labor force are industries that are in a greater need of the convergence security. Defense Industry develops, experiments, and produces defense security supplies for national security protection. Defense industry involves a number of security elements such as military secret, industrial secret, core technology labor force, defense industry supply, critical national facility, and information communication system. Defense industry security is a complex of military security and industrial security which is convergence security that integrates all security elements of defense industry. Therefore, defense industry security is a typical ideal model for convergence security. Research on defense industry security is relatively insufficient compared to research of security in other industrial fields. In order to prevent core technology of denfese industry from leaking and to protect technical professionals and institutions, research and action on defense industry security from convergence security perspective are therefore essential at this point of time.

The Trends of IT Convergence in Korea

  • Lee, Sung-Youl
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.7
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    • pp.101-110
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    • 2012
  • These days, the environment of IT development goes through converging with various industries and technologies. Also, it accelerates to pioneer new markets and develop new technologies. This trend becomes one of the most important factors to explore new national growth engines in Korea. Thus, this research examines current trends of IT convergence in Korea. The strategic characteristics of IT convergence in overseas are briefly explained for comparing purpose. The governmental strategies or efforts regarding the IT convergence have been surveyed. Some example convergences of LG, Samsung, and POSCO as major IT industries in Korea have been introduced. It also identifies several buzz concepts in this field. The study aims to provide an insight about the activities that are happening in the field of IT convergence in Korea. Finally, the findings through the research have been summarized.