• 공학교육연구
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• 제21권6호
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• pp.25-34
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• 2018

The low growth rate and the high youth unemployment rate that our society faces have already come to our country core problem. Today, as we enter the era of the Fourth Industrial Revolution, the social atmosphere that urgently needs to solve the problem of youth employment has become imminent, and the importance of university-industry cooperation is increasingly emphasized. In this paper, in this paper, we explore the process of how to develop fusion multifaceted curriculum centered on the Konkuk University College of Healing Bio Sciences Consortium Focus, which is developed and operated through literature review and Delphi questionnaire, The purpose of this study is to propose the conditions for enhancing educational suitability and the expansion of interdisciplinary convergence education.

• 반도체디스플레이기술학회지
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• 제18권2호
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• pp.78-81
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• 2019

In this study, we will analyze the design, development and application of these small drones using open source. These drones are used in flight exercises, aerial photography, and coding education. In the era of the fourth industrial revolution, such as the development of sensor technology, expansion of open source sharing, and application of artificial intelligence, Is expected to be able to demonstrate convergence. In this paper, we have studied the design and fabrication of small drones using open source. In the case of drones, various functions and differentiated materials are required depending on the application, and the future development of the unmanned mobile object, namely the drone, in which the creativity and the technology are combined with each other continues to be enhanced by the improvement of autonomy and artificial intelligence. Software-based architecture-based technologies have been developed in collaboration with embedded SWs that combine sensors, motors, and control systems. In hardware, it is customary to use a combination of materials and design to increase the freedom of design. It will be made in a free structure.

• 디지털산업정보학회논문지
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• 제18권4호
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• pp.41-46
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• 2022

In the fourth industrial era, when various technologies are fused and combined, new and advanced technologies from other industries are used extensively in the maritime industry field. New security threats are also increasing along with the development of new technologies. In addition, in incorporating convergence technologies into the maritime industry, various problems, such as communication definitions and procedures between technologies and customer-customized delays, occur. In this paper, for the problems mentioned above, research results on the network configuration of safer autonomous vessels by supplementing and fusing existing solutions rather than developing new technologies are proposed. In conclusion, the entire network consists of VDI and presents additional configurations to ensure confidentiality, integrity, and availability, which are the three security elements. According to the composition of such a convergence network, it is intended to help prepare countermeasures to protect internal data from external threats.

• 무역학회지
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• 제46권2호
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• pp.1-18
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• 2021

Amid the growing importance and urgency of smartening in the Korean maritime logistics industry, this study conducted a survey on the status of Korea's maritime trade technology. Korea is on par with developed countries internationally, but in order to lead the digitalization of the future era, additional developments should be explored by reviewing current conditions. In particular, it is necessary to draw policy implications for smart shipping in Korea, which is a three-sided sea. This study derived technical implications by comparing the number of patent applications and the applicant for domestic and foreign patents related to the major technologies of the Fourth Industrial Revolution. In addition, it was intended to investigate and present the status of Korea's maritime trade technology through the analysis of smart shipping-related emotions and the analysis of positive and negative scores of companies related to sentiment analysis.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.233-238
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• 2023

In the Fourth Industrial Revolution era, creative ideas are creating enormous value. This study conducted a case study on curriculum management plans aimed at protecting ideas and their results, recognizing the importance of intellectual property (IP), and cultivating basic knowledge about intellectual property. In particular, this study looked at ways to quickly learn related issues regarding new intellectual property rights related to computer software and artificial intelligence. In addition, research was conducted on ways to learn about efficient protection and utilization of inventions through actual examples. This study checked the importance and necessity of the interaction and communication between instructors and learners through the status of distance learning in domestic universities and a case study of distance learning of convergence subjects. We aim to continuously research effective class management methods and contribute to academic development through case studies of convergence subjects.

• International Journal of Knowledge Content Development & Technology
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• 제14권3호
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• pp.115-140
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• 2024

With the advent of the Fourth Industrial Revolution and the era of big data, the ability to handle data has become essential. This has heightened the importance and necessity of data literacy competencies. The purpose of this study is to propose a framework for data literacy competencies. To achieve this goal, data literacy frameworks from eight countries and twelve pieces of literature on data literacy competencies were analyzed and synthesized, resulting in five categories and twenty-three competencies. The five categories are: data understanding and ethics, data collection and management, data analysis and evaluation, data utilization, and data governance and systems. It is hoped that the data literacy competency framework proposed in this study will serve as a foundational resource for policies, curricula, and the enhancement of individual data literacy competencies.

• 전자통신동향분석
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• 제34권5호
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• pp.14-25
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• 2019

As the Internet of Things, artificial intelligence and big data have received a lot of attention as key growth engines in the era of the fourth industrial revolution, data acquisition and utilization in mobile, automotive, robotics, manufacturing, agriculture, health care and national defense are becoming more important. Due to numerous data-based industrial changes, demand for sensor technologies is exploding, especially for intelligent sensor technologies that combine control, judgement, storage and communication functions with the sensors's own functions. Intelligent sensor technology can be defined as a convergence component technology that combines intelligent sensor units, intelligent algorithms, modules with signal processing circuits, and integrated plaform technologies. Intelligent sensor technology, which can be applied to variety of smart IT convergence services such as smart devices, smart homes, smart cars, smart factory, smart cities, and others, is evolving towards intelligent and convergence technologies that produce new high-value information through recognition, reasoning, and judgement based on artificial intelligence. As a result, development of intelligent sensor units is accelerating with strategies for miniaturization, low-power consumption and convergence, new form factor such as flexible and stretchable form, and integration of high-resolution sensor arrays. In the future, these intelligent sensor technologies will lead explosive sensor industries in the era of data-based artificial intelligence and will greatly contribute to enhancing nation's competitiveness in the global sensor market. In this report, we analyze and summarize the recent trends in intelligent sensor technologies, especially those for four core technologies.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.555-557
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• 2018

의료기술의 발달로 인하여 인간의 평균 수명은 80세가 아닌 100세까지 늘어나며, 곧 100세 시대가 열릴 것으로 전망되고 있다. 더불어 융합이 핵심인 4차 산업혁명이 현대 사회의 최대 관심사로 떠오르면서 의료기술의 중요성과 함께 서비스에 대한 중요성도 높아지고 있다. 이에 의료기술과 관광의 융합인 의료관광이 발전하면서 유망산업으로 부각되고 있으며 세계 여러 나라들이 의료관광산업을 핵심전략산업 중 하나로 분류하고 적극 육성하고 있는 추세이다. 이에 맞는 경영전략으로 사용자에게 강한 인상을 심어줄 수 있는 콘텐츠, 마케팅 등이 개발되고 제공되고 있으나, 관리 시스템의 경우 기존의 것을 그대로 유지하고 있어 그 한계가 존재한다. 따라서 마케팅, 콘텐츠 등의 사용자 중심의 시스템과 함께 그에 맞는 효율적인 의료관광 관리 시스템이 필요하다.

• 한국ITS학회 논문지
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• 제19권1호
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• pp.1-16
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• 2020

4차 산업혁명 시대가 도래함에 따라 빅데이터를 활용하는 딥러닝에 대한 관심이 높아졌으며 다양한 분야에서 딥러닝을 이용한 연구가 활발하게 진행되고 있다. 교통 분야에서도 교통빅데이터를 많이 활용하는 만큼 딥러닝을 연구에 이용한다면 많은 이점이 있을 것이다. 본 연구에서는 통행속도를 예측하기 위하여 딥러닝 기법인 LSTM을 이용한 단기 통행속도 예측 모형을 구축하였다. 예측에 활용한 데이터인 통행속도 데이터가 시계열 데이터인 것을 고려하여 시계열 예측에 적합한 LSTM 모델을 선택하였다. 통행속도를 보다 정확하게 예측하기 위하여 시간적, 공간적 영향을 모두 반영하는 모형을 구축하였으며, 모형은 1시간 이후를 예측하는 단기 예측모형이다. 분석데이터는 서울시 교통정보센터에서 수집한 5분 단위 통행속도를 활용하였고 분석구간은 교통이 혼잡한 강남대로 일부구간으로 선정하여 연구를 수행하였다.