• Title/Summary/Keyword: 4차 산업혁명 시대

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Characteristics of Lithium-ion(Li-ion) Batteries according to Charging and Discharging by Scenario (시나리오별 충방전에 따른 리튬이온(Li-ion) 배터리 특성)

  • Yongho Yoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.171-176
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    • 2023
  • In the modern society of the 21st century, portable electronic products using secondary batteries are continuously becoming lightweight and miniaturized. And along with this trend, we are active in the era of the Fourth Industrial Revolution, where we collect and share information in our daily lives using wearable electronic devices. Therefore, the role of secondary batteries that can be recharged while using small home appliances and digital devices is increasingly important. Along with this increase, secondary battery performance tests require various test methods such as characteristics, lifespan, failure diagnosis, and recycling. In addition, the construction of a battery test system to ensure the safety and proper functioning of the battery, along with guidelines and correct basic knowledge are being considered. Therefore, in this paper, we will examine the characteristics of the secondary battery Li-ion battery according to the charging and discharging scenarios directly connected to the performance of the battery.

Trends in Domestic Research on Knowledge Management by Using Keyword Analysis (키워드 분석을 통한 지식경영 관련 국내연구 동향)

  • Kim, Bum Seok;Lee, Sungtaek
    • Knowledge Management Research
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    • v.24 no.4
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    • pp.1-22
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    • 2023
  • Knowledge management can be defined as the valuable storing and creation of new knowledge, as well as the sharing of this knowledge to be applied in all areas of an organization's management activities (Turban et al., 2003). In a knowledge-based society where intangible intellectual assets are the source of competitive advantage rather than tangible assets, knowledge management activities are emphasized in both academia and industry. This study analyzes research on "knowledge management" keyword indexed in the Korean Citation Index (https://kci.go.kr), operated by the National Research Foundation of Korea (NRF), to identify related research trends in Korea and suggest future directions for knowledge management activities. The results show that knowledge management is being researched through the integration of various fields and theories, indicating the potential for expanding research topics and fostering interdisciplinary collaboration. Furthermore, the study of knowledge management often include the keyword 'innovation', emphasizing its significant role in organizational and technological innovations. The analysis of keywords by year also reveals that they reflect the major environmental changes of each period, demonstrating the increasing importance of knowledge management in the era of the Fourth Industrial Revolution.

Empirical Research on the Interaction between Visual Art Creation and Artificial Intelligence Collaboration (시각예술 창작과 인공지능 협업의 상호작용에 관한 실증연구)

  • Hyeonjin Kim;Yeongjo Kim;Donghyeon Yun;Hanjin Lee
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.1
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    • pp.517-524
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    • 2024
  • Generative AI, exemplified by models like ChatGPT, has revolutionized human-machine interactions in the 21st century. As these advancements permeate various sectors, their intersection with the arts is both promising and challenging. Despite the arts' historical resistance to AI replacement, recent developments have sparked active research in AI's role in artistry. This study delves into the potential of AI in visual arts education, highlighting the necessity of swift adaptation amidst the Fourth Industrial Revolution. This research, conducted at a 4-year global higher education institution located in Gyeongbuk, involved 70 participants who took part in a creative convergence module course project. The study aimed to examine the influence of AI collaboration in visual arts, analyzing distinctions across majors, grades, and genders. The results indicate that creative activities with AI positively influence students' creativity and digital media literacy. Based on these findings, there is a need to further develop effective educational strategies and directions that incorporate AI.

The Effects of Characteristics of Information Gifted Students on the Selection of Science Gifted Students (정보영재의 특성이 영재학생 선발에 미치는 영향 분석)

  • Kim, Kapsu;Min, Meekyung
    • Journal of The Korean Association of Information Education
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    • v.22 no.3
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    • pp.367-374
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    • 2018
  • In order to cultivate the human resources needed in the 4th industrial revolution era, it is necessary to select the gifted students and educate them systematically. Although excellent gifted students are important in a specific field, more convergent talents in the fields of mathematics, science, and information are required. The purpose of this study is to investigate how evaluation factors reflecting the characteristics of information gifted students affect the selection of science gifted students of a university gifted education center. In the characteristics of information gifted students, the cognitive factors such as Rule creation ability, Reasoning ability, Efficiency ability, Generalization ability, Structuring ability and Abstraction ability were highly correlated in selecting the science gifted students. Correlations in the applicants group of students for science gifted education center are higher than those in the first passers group and higher than those in the final successful candidates group. This means that the factors that shows the characteristics of the information gifted have a great influence on the selection of the science gifted.

Development of External Expansion Devices and Convergence Contents for Future Education based on Software Teaching Tools (소프트웨어 교육용 교구 활용 미래 교육을 위한 융합 콘텐츠 및 외부 확장장치 개발)

  • Ju, Yeong-Tae;Kim, Jong-Sil;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.6
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    • pp.1317-1322
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    • 2021
  • Software in the era of the Fourth Industrial Revolution is becoming a key foundation in an intelligent information society. Therefore, it is necessary to study the new direction of manpower training and education that can cope with the times. To this end, the Ministry of Education reorganized the curriculum and is implementing software education based on a logical problem-solving process based on computing thinking skills rather than acquiring general ICT knowledge. However, there is a lack of securing high-quality educational content for software education, and there is also a lack of teaching aids that can be taught in connection with advanced IT technologies. To overcome this, this paper proposes the development of external expansion devices to expand educational content and functions capable of convergent software education such as artificial intelligence using coding robots for software education. Through this, effective software education is possible by improving the curriculum of the existing simple problem-solving method and developing various learning materials.

Development on Identification Algorithm of Risk Situation around Construction Vehicle using YOLO-v3 (YOLO-v3을 활용한 건설 장비 주변 위험 상황 인지 알고리즘 개발)

  • Shim, Seungbo;Choi, Sang-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.622-629
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    • 2019
  • Recently, the government is taking new approaches to change the fact that the accident rate and accident death rate of the construction industry account for a high percentage of the whole industry. Especially, it is investing heavily in the development of construction technology that is fused with ICT technology in line with the current trend of the 4th Industrial Revolution. In order to cope with this situation, this paper proposed a concept to recognize and share the work situation information between the construction machine driver and the surrounding worker to enhance the safety in the place where construction machines are operated. In order to realize the part of the concept, we applied image processing technology using camera based on artificial intelligence to earth-moving work. Especially, we implemented an algorithm that can recognize the surrounding worker's circumstance and identify the risk situation through the experiment using the compaction equipment. and image processing algorithm based on YOLO-v3. This algorithm processes 15.06 frames per second in video and can recognize danger situation around construction machine with accuracy of 90.48%. We will contribute to the prevention of safety accidents at the construction site by utilizing this technology in the future.

A Study on Service Philosophy for New Economy and Society (신경제사회 중심사상으로서의 서비스철학 연구)

  • Kim, Hyunsoo
    • Journal of Service Research and Studies
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    • v.9 no.4
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    • pp.1-17
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    • 2019
  • This study was conducted to establish a service philosophy as a major ideology in the New Economy and Society. The service philosophy, which is the ideological foundation to lead the service economy era, should be an idea that can develop the new economy society, reflecting the nature principle of the universe and human being. The service philosophy was derived based on the study of the human representative ideology and the study of the new economy and service essence. A good idea must be consistent with the principles of the universe and be consistent with the essence of the human representative ideology, so that it reflects the core principles of the universe and the core of human representative ideas. In addition, the central idea should reflect the changes of the New Economy Society in the future. Therefore, the essence of the service and the change of the New Economy Society were analyzed. We analyzed the social and philosophical significance of the macroscopic cosmology and the microscopic quantum theory of modern physics. We analyzed the essence of Oriental and Western representative ideas and derived implications of these ideas from the viewpoint of modern society where service is central. Based on the essence principle of the universe and human, we have established the service philosophy structure and derived the human, historical, social, economic, and managerial aspects of service philosophy. The structure of the derived service philosophy was presented, and discussions were conducted for future research.

Influence of Characteristics of Performance Video Content on WOM Effect through Trust and Satisfaction (공연 영상콘텐츠 특성이 신뢰와 만족을 통해 구전효과에 미치는 영향)

  • Lee, Sin-Bok;Park, Chanuk
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.4
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    • pp.129-137
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    • 2019
  • New technology leads the fast changes to cope with the fourth industrial revolution in the modern society. To meet the changes of the times, not only daily life but also cultural life of the modern people are changing, and these changed the times when we watch the cultural performances such as drama, musical, and opera that we should appreciate onsite into the times to see them whenever and wherever we want to see upon digitalizing them. However, studies have not been actively performed on the performance videos unlike other areas probably since they expect better image quality and services. Hence, considering the expectations from performance video contents by consumers as benefit, convenience, and innovation, this study was conducted to review the effectiveness of these attributes on the trust and satisfaction level. Also, upon reviewing the effectiveness of these on the word of mouth effect, expansion potential of the performance video contents was investigated to deduct the meaningful implications. Study results showed that benefit and convenience affected trust and satisfaction positively while innovation did not affect them at all. Yet, trust and satisfaction showed the positive influence on the word of mouth effect.

A Study on Legal Problems over Unmanned Vehicle of the Fourth Industrial Revolution - Focusing on the Autonomous Driving Vehicle and Drone - (제4차 산업혁명 시대의 무인 이동체를 둘러싼 법적 문제점 연구 - 자율주행자동차와 드론을 중심으로 -)

  • Kye, Kyoung-Moon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.28 no.7
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    • pp.519-527
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    • 2017
  • The trust issue on the safety of autonomous vehicle is a very important in regard to the demand generation of relevant industries. To secure the trust, The study of legal liability issue should be prior to an accident of the autonomous vehicle. In civil law, it is possible to make the automobile manufacturer take legal responsibility with the "Product Liability Act". Whereas, in criminal law, it is difficult to make him take legal responsibility since the criminal law holds the actor responsible. To solve these problems, this article proposes the establishment of the "Special Act on Autonomous Vehicle". Also, there is a demand for building infra structures and system to operate the (fully) self-propelled vehicle and establishing "certification" systems.

An Analysis System Using Big Data based Real Time Monitoring of Vital Sign: Focused on Measuring Baseball Defense Ability (빅데이터 기반의 실시간 생체 신호 모니터링을 이용한 분석시스템: 야구 수비능력 측정을 중심으로)

  • Oh, Young-Hwan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.1
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    • pp.221-228
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    • 2018
  • Big data is an important keyword in World's Fourth Industrial Revolution in public and private division including IoT(Internet of Things), AI(Artificial Intelligence) and Cloud system in the fields of science, technology, industry and society. Big data based on services are available in various fields such as transportation, weather, medical care, and marketing. In particular, in the field of sports, various types of bio-signals can be collected and managed by the appearance of a wearable device that can measure vital signs in training or rehabilitation for daily life rather than a hospital or a rehabilitation center. However, research on big data with vital signs from wearable devices for training and rehabilitation for baseball players have not yet been stimulated. Therefore, in this paper, we propose a system for baseball infield and outfield players, especially which can store and analyze the momentum measurement vital signals based on big data.