• Title/Summary/Keyword: 4th world industrial revolution

검색결과 138건 처리시간 0.022초

Microstructure and Mechanical Property of A356 for Rheocasting Using 6-Pole Electromagnetic Stirring Casting Process (6극 전자석 전자교반 레오캐스팅에 따른 A356의 조직적 / 기계적 영향분석)

  • Kim, Baek-Gyu;Roh, Jung-Suk;Bang, Hee-Jae;Heo, Min;Park, Jin-Ha;Jeon, Chung-Hwan
    • Journal of Korea Foundry Society
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    • 제40권3호
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    • pp.61-65
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    • 2020
  • Rheo-diecasting with stirring has been used in many material industries. As the 4th Industrial Revolution approaches the world, eco-friendly high-strength and light-weight materials become more important. Casting methods have been studied and used for aluminum-alloy automobile parts. This study carried out the effect analysis of the micro-structure and mechanical properties, such as yield/ultimate tensile strength, elongation, and hardness, of A356 using the 6-pole EMS (electro-magnetic stirring) casting process with a high electromagnetic force. As a result, the hardness and elongation of the A356 after T6 heat-treatment show a significant improvement, respectively, by 20% and 50%.

Development of Project-based Robot Education Program for Enhancing Interest toward Robots and Computational Thinking of Elementary School Students

  • Kim, Seong-Won;Park, Hyeran;Lee, Youngjun
    • Journal of the Korea Society of Computer and Information
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    • 제24권1호
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    • pp.247-255
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    • 2019
  • In this paper, we propose the effect of project-based robot education program on the interest toward robots and the computational thinking of elementary school students. Software education is being actively carried out around the world in order to cultivate software talents in accordance with the 4th industrial revolution. As a result, the importance of robots in education has increased, and education using robots has been actively introduced. However, the activities of simply assembling and repeating robots in schools were not effective in enhancing elementary school students' interest toward robots and computational thinking. Therefore, it is necessary to overcome traditional teaching-learning methods and to develop robot education. So, in this study, the robot education program that introduces project-based learning was developed for improvement of interest toward robots and computational thinking of elementary school students. In order to verify the developed education program, 114 elementary six grade students were selected as research subjects and the traditional teaching-learning method and project-based learning were applied to the experimental and control group. As a result, project-based learning was more effective for elementary school students' interest toward robot than traditional teaching-learning method. In computing thinking, the experimental group showed a significant improvement, but there was no statistically significant difference in the post-test.

Analysis of Google's success factors and direction

  • LEE, Sang-Youn;KIM, Se-Jin
    • Korean Journal of Artificial Intelligence
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    • 제8권2호
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    • pp.11-16
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    • 2020
  • Among the innovative companies leading the era of the 4th industrial revolution, the world's largest Internet company is Google. Google has grown by providing convenient services such as Internet search, Android smartphone operating system, and video. Now, Google is leading the global IT industry by continuing to develop in various new business fields based on open service platforms, artificial intelligence, and big data. In this study, an exploratory discussion was conducted on Google's success factors and future directions. The purpose of the research is to understand the development process of the IT field from the successfactors of Google and to analyze the development direction of the future IT industry. Google's success factors were its open platform policy and successful acquisitions of external companies. In fact, most of the services Google offers come from companies that have acquired and acquired them. In addition, there was a corporate culture that values and supportsthe spirit of challenge and autonomy of members who are not afraid of failure. Based on this study's review of Google's direction analysis, the follow-up study will infer the direction of the IT industry in depth and look at the future technologies that IT majors need to prepare.

A Study on the Factors Influencing the Intention to Use Bio Pass at Airports through Innovation Resistance (혁신저항을 매개로 공항에서 바이오 패스의 사용의도에 영향을 미치는 요인분석)

  • Sung-Hoon Park;Jin-Woo Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • 제31권2호
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    • pp.7-17
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    • 2023
  • In the era of the 4th industrial revolution, airports around the world are rapidly pushing for smart airports. One ID service based on biometric technology to eliminate congestion and improve airport operation efficiency is one of them. In particular, biopass, which allows you to use the entire journey with one single token without an ID card or boarding pass from arrival at the airport to boarding an aircraft, is emerging as an important technology for smart airports. This study conducted an empirical analysis to identify factors that affect the intention to use in two aspects: the acceptance, and rejection of bio-pass by combining UTAUT and the innovative resistance model. As a result of the study, it was found that the relative advantages and compatibility had a positive effect on the intention to use, and the perceived risk had a negative effect on the intention to use through innovation resistance. This suggests that infrastructure expansion and usage expansion are needed to use time more efficiently at airports, and that the government, airlines, and airport operators need to cooperate to strengthen the security system to relieve users' psychological anxiety.

A study on legal service of AI

  • Park, Jong-Ryeol;Noe, Sang-Ouk
    • Journal of the Korea Society of Computer and Information
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    • 제23권7호
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    • pp.105-111
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    • 2018
  • Last March, the world Go competition between AlphaGo, AI Go program developed by Google Deep Mind and professional Go player Lee Sedol has shown us that the 4th industrial revolution using AI has come close. Especially, there ar many system combined with AI hae been developing including program for researching legal information, system for expecting jurisdiction, and processing big data, there is saying that even AI legal person is ready for its appearance. As legal field is mostly based on text-based document, such characteristic makes it easier to adopt artificial intelligence technology. When a legal person receives a case, the first thing to do is searching for legal information and judical precedent, which is the one of the strength of AI. It is very difficult for a human being to utilize a flow of legal knowledge and figures by analyzing them but for AI, this is nothing but a simple job. The ability of AI searching for regulation, precedent, and literature related to legal issue is way over our expectation. AI is evaluated to be able to review 1 billion pages of legal document per second and many people agree that lot of legal job will be replaced by AI. Along with development of AI service, legal service is becoming more advanced and if it devotes to ethical solving of legal issues, which is the final goal, not only the legal field but also it will help to gain nation's trust. If nations start to trust the legal service, it would never be completely replaced by AI. What is more, if it keeps offering advanced, ethical, and quick legal service, value of law devoting to the society will increase and finally, will make contribution to the nation. In this time where we have to compete with AI, we should try hard to increase value of traditional legal service provided by human. In the future, priority of good legal person will be his/her ability to use AI. The only field left to human will be understanding and recovering emotion of human caused by legal problem, which cannot be done by AI's controlling function. Then, what would be the attitude of legal people in this period? It would be to learn the new technology and applying in the field rather than going against it, this will be the way to survive in this new AI period.

An Instructional Design for the Converged English-Science Teaching Method using PBL Model in Elementary School (PBL 모형을 적용한 초등학교 영어·과학 융합 수업 모델 설계)

  • Park, In-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제21권7호
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    • pp.66-72
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    • 2020
  • In order to cultivate talented people with national economic influence in the rapidly changing 21st- century modern society, STEM(Science Technology Engineering Mathematics) education has been emphasized in advanced countries such as America and England. In South Korea, STEAM(Science Technology Engineering Arts Mathematics) education is emphasized by adding Arts. The objective of STEAM education is to strengthen the interest and motivation of learners, to focus on experience, exploration, experimentation, to solve convergent thinking and real-life problems, rather than cramming method of teaching and memorization. This study identifiesan instructional design for converged English, the world's official language, and science which is found in nearly all disciplines. With the development of the 4th industrial revolution based on the PBL model, learners participate in their lessons voluntarily for problem-solving skills. The instructional design based on the ADDIE model consists of 5 procedures: Analysis, Design, Development, Implementation, and Evaluation. The goal of fostering talented people with national economic influence is also important, and the teacher in education must recognize the importance of STEAM education and an appropriate instructional design should be studied constantly.

BigData Research in Information Systems : Focusing on Journal Articles about Information Systems (정보시스템 분야의 빅데이터 연구 흐름 분석 : Information Systems 관련 저널을 중심으로)

  • Park, Kyungbo;Kim, Juyeong;Kim, Han-Min
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • 제9권6호
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    • pp.681-689
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    • 2019
  • The 46th Davos Forum of the World Economic Forum (WEF) predicts the continued growth of the 4th industry in the future. Currently, the 4th industry is attracting attention in various academic and practical fields. As a core technology of the 4th industry, Big Data is regarded as a major resource to lead the 4th industrial revolution along with artificial intelligence. As the growing interest in Big Data, researches on it are actively being done. However, literature studies on existing Big Data are focused on qualitative research, and quantitative research is insufficient. Therefore, this study aims to analyze the big data research flow in MIS field and to make academic thirst for quantification. This study has collected 145 abstracts of big data papers published in major journals in MIS field and confirmed that a majority of papers are published in Decision Support Systems Journal. Text mining and text network analysis were performed only for DSS journals to eliminate bias. As a result of the analysis, it was found out that researches on combining big data in the management field between 2012 and 2014, and researches on system development and analysis method for using big data from 2015 to 2017 were conducted.

A Study on the Utilization of Customizing Nail Art Design Using Laser marking System (레이저 마킹 시스템을 이용한 Customizing 네일아트 디자인 활용 방안 연구)

  • Yoon, Jae-Won
    • Journal of Digital Convergence
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    • 제20권2호
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    • pp.353-359
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    • 2022
  • Entering the era of the 4th Industrial Revolution, as humans pursue beauty with a differentiated lifestyle and the quality of life improves, nail art is in the spotlight as another art field as part of beauty and jewelry art. In addition, as the rapidly growing and digitalized decorative beauty nail industry has become a major industry in the world, it is expressed as a formative beauty art that requires creative and original decorative expression. Recently, as the rapidly growing and digitalized decorative beauty nail industry has become a major industry in the world, it is expressed as a formative beauty art that requires creative and original decorative expression. This study aims to present the direction of a new expression idea that expresses visual beauty, expecting the creative beauty industry and jewelry nail art to become popular as an image imprinting expression method using a laser marking program among digital systems.

DNA (Data, Network, AI) Based Intelligent Information Technology (DNA (Data, Network, AI) 기반 지능형 정보 기술)

  • Youn, Joosang;Han, Youn-Hee
    • KIPS Transactions on Computer and Communication Systems
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    • 제9권11호
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    • pp.247-249
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    • 2020
  • In the era of the 4th industrial revolution, the demand for convergence between ICT technologies is increasing in various fields. Accordingly, a new term that combines data, network, and artificial intelligence technology, DNA (Data, Network, AI) is in use. and has recently become a hot topic. DNA has various potential technology to be able to develop intelligent application in the real world. Therefore, this paper introduces the reviewed papers on the service image placement mechanism based on the logical fog network, the mobility support scheme based on machine learning for Industrial wireless sensor network, the prediction of the following BCI performance by means of spectral EEG characteristics, the warning classification method based on artificial neural network using topics of source code and natural language processing model for data visualization interaction with chatbot, related on DNA technology.

Industrial Technology Leak Detection System on the Dark Web (다크웹 환경에서 산업기술 유출 탐지 시스템)

  • Young Jae, Kong;Hang Bae, Chang
    • Smart Media Journal
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    • 제11권10호
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    • pp.46-53
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    • 2022
  • Today, due to the 4th industrial revolution and extensive R&D funding, domestic companies have begun to possess world-class industrial technologies and have grown into important assets. The national government has designated it as a "national core technology" in order to protect companies' critical industrial technologies. Particularly, technology leaks in the shipbuilding, display, and semiconductor industries can result in a significant loss of competitiveness not only at the company level but also at the national level. Every year, there are more insider leaks, ransomware attacks, and attempts to steal industrial technology through industrial spy. The stolen industrial technology is then traded covertly on the dark web. In this paper, we propose a system for detecting industrial technology leaks in the dark web environment. The proposed model first builds a database through dark web crawling using information collected from the OSINT environment. Afterwards, keywords for industrial technology leakage are extracted using the KeyBERT model, and signs of industrial technology leakage in the dark web environment are proposed as quantitative figures. Finally, based on the identified industrial technology leakage sites in the dark web environment, the possibility of secondary leakage is detected through the PageRank algorithm. The proposed method accepted for the collection of 27,317 unique dark web domains and the extraction of 15,028 nuclear energy-related keywords from 100 nuclear power patents. 12 dark web sites identified as a result of detecting secondary leaks based on the highest nuclear leak dark web sites.