• Title/Summary/Keyword: 인공지능시대

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The Fourth Industrial Revolution and College Mathematics Education - Case study of Linear Algebra approach - (4차 산업혁명과 대학수학교육 - 산업수학 프로그램 소개 및 관련 수학강좌 사례 -)

  • Lee, Sang-Gu;Lee, Jae Hwa;Kim, Young Rock;Ham, Yoonmee
    • Communications of Mathematical Education
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    • v.32 no.3
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    • pp.245-255
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    • 2018
  • In this paper, we discuss efforts that has been made by mathematics departments in Korea to meet the need of the 4th industrial revolution era. First of all, we introduce various industrial mathematics programs that some universities in Korea started to provide in order to nurture math/math education graduate to be prepared for the demand of the society. We also introduced a mathematics for Big Data course that we did offer recently which can be shared.

Big Data Activation Plan for Digital Transformation of Agriculture and Rural (농업·농촌 디지털 전환을 위한 빅데이터 활성화 방안 연구)

  • Lee, Won Suk;Son, Kyungja;Jun, Daeho;Shin, Yongtae
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.8
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    • pp.235-242
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    • 2020
  • In order to promote digital transformation of our agricultural and rural communities in the wake of the fourth industrial revolution and prepare for the upcoming artificial intelligence era, it is necessary to establish a system and system that can collect, analyze and utilize necessary quality data. To this end, we will investigate and analyze problems and issues felt by various stakeholders such as farmers and agricultural officials, and present strategic measures to revitalize big data, which must be decided in order to promote digital transformation of our agricultural and rural communities, such as expanding big data platforms for joint utilization, establishing sustainable big data governance, and revitalizing the foundation for big data utilization based on demand.

4차 산업혁명시대의 소비자이슈와 소비자정책

  • Choe, Byeong-Rok
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.11a
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    • pp.413-421
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    • 2017
  • 4차 산업혁명과 관련하여 대두되는 핵심기술로 인공지능, 로봇, 빅데이터, 사물인터넷(IoT), 가상현실(VR)과 증강현실(AR), 자율주행자동차, 드론, 3D 프린팅, 블록체인 등을 들고 있다. 과거와 현재는 생산자가 최적의 비용으로 고성능 고품질 상품과 서비스를 제공했으나 4차 산업 혁명 시대는 소비자가 제품의 종류 및 특성, 생산 시점 등 전 과정에 관여하고 상품 자체보다 상품이 제공하는 가치를 중시하게 될 것으로 예상되고 있다. 이처럼 생산자 중심에서 소비자 중심으로 소비 트렌드가 변한 것은 AI, IoT, VR, 3D 프린팅 등 4차 산업혁명의 기술혁명이 지대한 기여를 했기 때문으로 볼 수 있다. 이처럼 다양한 제품과 서비스에서 새로운 유형의 소비자문제도 발생하고 기존의 소비자문제도 발생할 수 있으므로 이에 대한 체계적인 검토로 사전 예방적인 소비자정책과 사후구제의 소비자정책 모두 새롭게 정립해 두어야 한다. 사전예방적인 소비자정책으로는 (1) 위해방지, (2) 규격의 적정화, (3) 거래의 적정화, (4) 표시광고의 적정화, (5)소비자정보제공의 충실화 및 소비자능력의 향상을 위한 소비자교육의 강화, (6) 개인정보보호의 강화가 필요하다. 사후구제의 소비자정책으로는 (1) 소비자분쟁해결기준의 정비, (2) 피해구제 관련 법률의 제정이나 개정 등이 필요하다.

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Edutech in the Era of the 4th Industrial Revolution (4차 산업혁명 시대의 에듀테크)

  • Park, Ji Su;Gil, Joon-Min
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.11
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    • pp.329-331
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    • 2020
  • Edutech is a compound word of education and technology, and is an educational paradigm in the era of the 4th industrial revolution. This refers to next-generation education using information and communication technology (ICT) such as big data, artificial intelligence (AI), robots, and virtual reality (VR) of the 4th industrial revolution. e-Learning is being used as an online lecture for education in ICT, but edutech is attracting attention along with e-learning as the feeding of non-face-to-face education has rapidly increased due to COVID-19. Therefore, this paper summarizes the reviewed papers on the blockchain-based badge service platform, simulation-based collaborative e-Learning system, video English dictionary, and blockchain-based access control audit system.

Verification Test on VVenC based MPEG MIV Framework (VVenC 기반 MPEG MIV 프레임워크 검증)

  • Oh, Kwan-Jung;Jeong, Jun Young;Lee, Gwangsoon;Seo, Jeongil
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2021.06a
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    • pp.67-69
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    • 2021
  • 인공 지능, 사물 인터넷, 클라우드 컴퓨팅, 빅데이터, 모바일을 중심으로 시작된 4차 산업혁명은 최근 메타버스(Metaverse)시대로 자연스럽게 확장되어 가고 있다. 메타버스 시대의 핵심 기술인 VR(Virtual Reality)/AR(Augmented Reality)/MR(Mixed Reality)과 이를 디스플레이 하기 위한 HMD(Head Mounted Display)나 글래스(glass) 장치들은 사용자에게 고품질 영상뿐만 아니라 3차원 공간에 대한 6DoF(Degrees of Freedom)급의 자유도를 제공해야 한다. 이에 발맞춰 MPEG에서는 최근 실사 및 CG(Computer Graphics)로 제작된 다시점 텍스쳐 및 깊이 영상에 대한 효과적인 압축 방법을 찾기 위한 MIV(MPEG Immersive Video) 표준화를 진행중이다. 본 논문은 최신 2차원 압축 표준인 VVC(Verstitle Video Coding)를 기반으로 MPEG MIV 1.0 표준 프레임워크를 검증해본다. 특히 높은 압축율에 비해 복잡도가 높은 VVC 표준의 특성을 고려하여 HHI에서 개발한 최적화 코덱인 VVenC를 이용하여 압축 효율과 복잡도 관점에서 MIV 표준 활용을 위한 최적의 솔루션을 찾고자 한다.

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A study on Strengthening Cyber Capabilities According to the Digital Transformation in the Defense Sector (국방 디지털 전환에 따른 사이버역량 강화 방안 연구)

  • InJung Kim;Soojin Lee
    • Convergence Security Journal
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    • v.21 no.4
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    • pp.3-13
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    • 2021
  • As new technologies such as artificial intelligence (AI), cloud, Internet of Things (IoT), big data, and mobile become organically integrated, a new era of digital transformation is emerging. As a result of this digital transformation, cybersecurity issues have surfaced as a negative side effect. Cyberspace, unlike physical space, has no clear limits, which leads to additional side effects and hazards. While promoting digital transformation in defense, conventional customs and behavioral approaches make it difficult to alter the cybersecurity strategy, even if it is vital to comprehend and prepare the attributes associated with time and technology trends. As a result, in this study, we will look at the direction of technology application in the defense as a result of digital transformation and analyze how to correlate from the standpoint of cybersecurity.

Suggestions for the Study of Acupoint Indications in the Era of Artificial Intelligence (인공지능시대의 경혈 주치 연구를 위한 제언)

  • Chae, Youn Byoung
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.35 no.5
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    • pp.132-138
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    • 2021
  • Artificial intelligence technology sheds light on new ways of innovating acupuncture research. As acupoint selection is specific to target diseases, each acupoint is generally believed to have a specific indication. However, the specificity of acupoint selection may be not always same with the specificity of acupoint indication. In this review, we propose that the specificity of acupoint indication can be inferred from clinical data using reverse inference. Using forward inference, the prescribed acupoints for each disease can be quantified for the specificity of acupoint selection. Using reverse inference, targeted diseases for each acupoint can be quantified for the specificity of acupoint indication. It is noteworthy that the selection of an acupoint for a particular disease does not imply the acupoint has specific indications for that disease. Electronic medical record includes various symptoms and chosen acupoint combinations. Data mining approach can be useful to reveal the complex relationships between diseases and acupoints from clinical data. Combining the clinical information and the bodily sensation map, the spatial patterns of acupoint indication can be further estimated. Interoperable medical data should be collected for medical knowledge discovery and clinical decision support system. In the era of artificial intelligence, machine learning can reveal the associations between diseases and prescribed acupoints from large scale clinical data warehouse.

Development of a training program to strengthen the competency of training designers in the era of artificial intelligence (인공지능시대 연수디자이너 역량 강화 연수프로그램 개발)

  • Hong, Yuna;Lim, Eugene;Ha, Young-ja
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.18 no.1
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    • pp.65-77
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    • 2022
  • The purpose of this study is to develop a competency strengthen program with the aim of training designers who respond to changing national policies in the era of artificial intelligence. To this end, this study was conducted through a total of five steps. First, through literature research and analysis of prior research and literature related to the role of training designers and HRD managers was investigated and analyzed, and based on related prior research, theoretical and academic grounds for training designer competency modeling were prepared. In the second stage, a draft training program was developed to strengthen the competency of training designers based on the needs analysis of stakeholders and advice from education experts. In the third stage, a pilot program was conducted based on the draft training program. In step 4, the effectiveness verification was confuted and the deficiencies of the training program were derived from the pilot program. Finally, the final draft of the training program for strengthening the competency of training designers in the era of artificial intelligence was developed. The final training program consisted of 10 modules and was designed to run for three days. The details of specific training program are presented in the article.

Analysis of NCS Curriculum for Computer Science Major in the 4th Industrial Revolution (4차 산업혁명 시대의 컴퓨터과학 전공자를 위한 NCS 교육과정 분석)

  • Jung, Deok-gil
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.6
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    • pp.855-860
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    • 2018
  • The IT technologies applying to IoT(Internet of Things), Big Data, and AI(Artificial Intelligence) are needed in the era of 4th industrial revolution. So, the IT convergence courses of computer science major which will be required in the companies in order to prepare the crises of 4th industry revolution are necessary. And, one approach to cope with this problem is the training of IT convergence man power based on NCS(National Competency Standard) education. In this paper, we propose and analyze the NCS education courses for computer science major in order to teach the students who are needed in the Korean domestic companies preparing the 4th industrial revolution. The skills and applications of Chatbot, Blockchain, and CPS(Cyber Physical System) for the post mobile and post Internet technologies are included in the proposed courses.

A study on the development of curriculum for nurturing beauty service talents in the post-corona era (focusing on skin care) (포스트 코로나 시대의 뷰티서비스 인재 양성을 위한 교육과정 개발 연구 (피부미용을 중심으로))

  • Son, Hyo-Jeong
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.6
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    • pp.1433-1444
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    • 2021
  • This study was conducted for the purpose of developing a curriculum to educate the practical skills required in the industry by convergence with the 4th industry in the beauty field, which has been accelerated since the Corona era. As a result of an exploratory investigation of several literatures and collecting expert opinions, it was analyzed that the field of beauty industry will expand to a personalized service providing industry that combines medical, bio, ICT, and artificial intelligence technologies, rather than providing a single item or service. Based on the analysis contents, the curriculum was composed and subjects were derived by adding digital application skills to have in addition to the basic job skills required in the traditional beauty industry. The post-Corona era will bring changes in various industries based on the Fourth industrial revolution, and in response to these changes, universities should always pay attention to changes in the industry to develop talent for the development and sustainability of the beauty industry.