• Title/Summary/Keyword: AI 융합

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Cybersecurity Audit of 5G Communication-based IoT, AI, and Cloud Applied Information Systems (5G 통신기반 IoT, AI, Cloud 적용 정보시스템의 사이버 보안 감리 연구)

  • Im, Hyeong-Do;Park, Dea-Woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.3
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    • pp.428-434
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    • 2020
  • Recently, due to the development of ICT technology, changes to the convergence service platform of information systems are accelerating. Convergence services expanded to cyber systems with 5G communication, IoT, AI, and cloud are being reflected in the real world. However, the field of cybersecurity audit for responding to cyber attacks and security threats and strengthening security technology is insufficient. In this paper, we analyze the international standard analysis of information security management system, security audit analysis and security of related systems according to the expansion of 5G communication, IoT, AI, Cloud based information system security. In addition, we design and study cybersecurity audit checklists and contents for expanding security according to cyber attack and security threat of information system. This study will be used as the basic data for audit methods and audit contents for coping with cyber attacks and security threats by expanding convergence services of 5G, IoT, AI, and Cloud based systems.

Development of Artificial Intelligence Convergence Education Program for Elementary Education Using Decision Tree (의사 결정 나무를 활용한 초등 인공지능 융합 교육 프로그램 개발)

  • Hyunwoo Moon;Youngjun Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.01a
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    • pp.227-228
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    • 2023
  • 정부의 인공지능 국가전략을 통해 인공지능 교육은 초등학교에서도 필수교육으로 대두되고 있다. 또한 인공지능 소양을 습득하기 위해 타 교과와 융합한 인공지능 융합 교육의 필요성이 증가하고 있고, 인공지능 발달에 대한 수학의 역할을 고려하여 수학 교과를 통해 인공지능의 이해를 기르는 것이 강조되고 있다. 따라서 본 연구에서는 수학 교과와 인공지능 교과가 융합한 인공지능 융합 교육 프로그램을 개발하기 위해 초등학교 3~4학년 수학 교과의 도형 분류를 의사 결정 나무 모델을 활용하여 가르치는 인공지능 융합 교육 프로그램을 개발하였다. 본 연구를 통해 개발된 프로그램은 초등학생의 인공지능 개념학습을 통한 인공지능 기초소양 함양뿐만 아니라 수학 교과의 이해 및 성취도 향상에 도움이 될 것으로 기대된다.

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Manufacturing Innovation Trends for Flagship Industries Intellectualization (주력산업 지능화를 위한 제조 혁신 기술 동향)

  • H.K. Kim;J.M. Kim;D.K. Shon;Y.S. Hwang;T.H. Yoon;H.K. Choi;D.S. Yoo
    • Electronics and Telecommunications Trends
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    • v.38 no.6
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    • pp.75-83
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    • 2023
  • Smart manufacturing in Industry 4.0 is developing toward autonomous manufacturing as a last-mile technology. We investigate development trends in manufacturing innovation technologies, review major industrial intelligence projects currently carried out at ETRI, and infer directions of future technology developments.

A Study on The Need for AI Literacy According to The Development of Artificial Intelligence Chatbot (인공지능 챗봇 발전에 따른 AI 리터러시 필요성 연구)

  • Cheol-Seung Lee;Hye-Jin Baek
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.3
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    • pp.421-426
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    • 2023
  • Among artificial intelligence convergence technologies, Chatbot is an artificial intelligence-based interactive system and refers to a system that can provide interaction with humans. Chatbots are being re-examined as chatbots develop into NLP, NLU, and NLG. However, artificial intelligence chatbots can provide biased information based on learned data and cause serious damage such as privacy infringement and cybersecurity concerns, and it is essential to understand artificial intelligence technology and foster AI literacy. With the continued evolution and universalization of artificial intelligence, AI Literacy will also expand its scope and include new areas. This study is meaningful in raising awareness of artificial intelligence technology and proposing the use of human respect technology that is not buried in technology by cultivating human AI literacy capabilities.

A Study on Methods to Train Experts in Robot and Artificial Intelligence-Based Data Signal Processing in Response to the Increased Use of Robots (로봇의 활용증가에 따른 로봇 및 인공지능 기반 데이터 신호처리 전문가 양성 방안에 관한 연구)

  • Chung-Ho Ju;Dae-Yeon Kim;Kyoung-Ho Kim;Tae-Woong Gwon;Dong-Seop Sohn
    • Journal of the Institute of Convergence Signal Processing
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    • v.25 no.2
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    • pp.58-66
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    • 2024
  • Robotics is a convergence technology with significant ripple effects across various industries, including manufacturing and services. Its importance has been increasingly underscored by advancements in artificial intelligence. As a crucial industry for addressing the challenges posed by a declining and aging production workforce and for enhancing manufacturing competitiveness, the training of robotics experts is now critically important. This paper examines the case of the Robot Job Innovation Center in Gumi City and proposes a strategy for training robotics experts and specialists in robot/AI-based signal processing. A core curriculum was carefully selected and implemented in actual educational settings, with key components necessary for developing a comprehensive educational framework detailed. The convergence of AI-based data signal processing and robotics represents a significant technological advancement poised to impact a wide array of industries. By proposing the comprehensive educational framework outlined in this paper, it is anticipated that related organizations will be able to effectively utilize these foundational elements to train experts in the field.

A Study on the Technological Priorities of Manufacturing and Service Companies for Response to the 4th Industrial Revolution and Transformation into a Smart Company (4차 산업혁명 대응과 스마트 기업으로의 변화를 위한 제조 및 서비스 기업의 기술적용 우선순위에 대한 연구)

  • Park, Chan-Kwon;Seo, Yeong-Bok
    • Journal of Convergence for Information Technology
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    • v.11 no.4
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    • pp.83-101
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    • 2021
  • This study is to investigate, using AHP, what technologies should be applied first to Korean SMEs in order to respond to the 4th industrial revolution and change to a smart enterprise. To this end, technologies related to the 4th industrial revolution and smart factory are synthesized, and the classification criteria of Dae-Hoon Kim et al. (2019) are applied, but additional opinions of experts are collected and related technologies are converted to artificial intelligence (AI), Big Data, and Cloud Computing. As a base technology, mobile, Internet of Things (IoT), block chain as hyper-connected technology, unmanned transportation (autonomous driving), robot, 3D printing, drone as a convergence technology, smart manufacturing and logistics, smart healthcare, smart transportation and smart finance were classified as smart industrial technologies. As a result of confirming the priorities for technical use by AHP analysis and calculating the total weight, manufacturing companies have a high ranking in mobile, artificial intelligence (AI), big data, and robots, while service companies are in big data and robots, artificial intelligence (AI), and smart healthcare are ranked high, and in all companies, it is in the order of big data, artificial intelligence (AI), robot, and mobile. Through this study, it was clearly identified which technologies should be applied first in order to respond to the 4th industrial revolution and change to a smart company.

The History and Future of String Quartet Performances: Examining the Possibility of Convergent Performances Employing Media and Artificial Intelligence (현악사중주 공연의 역사와 미래: 미디어와 인공지능을 활용한 융합 공연의 가능성에 대하여)

  • Eun-Ji Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.697-706
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    • 2023
  • This study examines the history of string quartet performances and analyzes contemporary integrated performances to propose a new performance paradigm for future audiences. It examines past developments and audience interactions, and how modern classical performance can gain a competitive edge internationally through tech integration. Building on this foundation, a future vision is proposed for Korean string quartet performances, drawing from novel performances that are interconnected with their historical context. The study concludes that modern string quartets necessitate innovative and original performance directions that can be achieved through various technological integrations.

Disaster Preparedness Method for Tourism-type Smart City using Metaverse (메타버스를 활용한 관광형 스마트시티의 재난 대비 방법)

  • Kim, Sung;Park, Young-Se;Ha, Young-Seok;Seok, Kwang-Ho
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.415-416
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    • 2022
  • 전주는 가장 한국적인 도시답게 모든 사적과 여 채가 있는 한옥마을의 건물이 모두 목재와 기와로 지어진 한옥으로 밀집되어 있어서 화재와 지진, 풍수해 시에 소방차나 구조차의 진입에 어려움이 있다. 이로 인해 초기 화재 진압 시간이 지연됨에 따라 인명피해와 함께 국보와 사적지가 전소될 수 있어 인명과 문화재 보전을 위해 소방시설의 확충과 안전관리가 절실하게 필요하다. 이에 재난 대비를 위한 방법으로 소방 드론을 활용하는 것이 최적의 방법이 될 수 있다. 본 논문에서는 메타버스 플랫폼인 로블록스를 활용하여 스마트시티-전주를 구현하였고, 소방드론을 활용할 수 있는 드론 소방서를 제안하였다.

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Implementation of YOLO based Missing Person Search Al Application System (YOLO 기반 실종자 수색 AI 응용 시스템 구현)

  • Ha Yeon Km;Jong Hoon Kim;Se Hoon Jung;Chun Bo Sim
    • Smart Media Journal
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    • v.12 no.9
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    • pp.159-170
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    • 2023
  • It takes a lot of time and manpower to search for the missing. As part of the solution, a missing person search AI system was implemented using a YOLO-based model. In order to train object detection models, the model was learned by collecting recognition images (road fixation) of drone mobile objects from AI-Hub. Additional mountainous terrain datasets were also collected to evaluate performance in training datasets and other environments. In order to optimize the missing person search AI system, performance evaluation based on model size and hyperparameters and additional performance evaluation for concerns about overfitting were conducted. As a result of performance evaluation, it was confirmed that the YOLOv5-L model showed excellent performance, and the performance of the model was further improved by applying data augmentation techniques. Since then, the web service has been applied with the YOLOv5-L model that applies data augmentation techniques to increase the efficiency of searching for missing people.

Implications of the Increase of Single Person Households for High-Tech Industries: Focusing on AI Adopted Products (1인 가구 증가가 하이테크 산업에서 지니는 함의: 인공지능기술 탑재 상품을 중심으로)

  • Cho, Jae-Yung
    • Journal of Convergence for Information Technology
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    • v.9 no.6
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    • pp.146-152
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    • 2019
  • This study discussed implications of the increase of single person households (SH) for high-tech industries especially focusing on artificial intelligence (AI) adopted products, based on critically reviewing the past researches on their characteristics including consumption trends; the improvement of AI technology; and its market potentiality in various industries. According to the results, SH spent more time with others like friends and neighbors more than couples. Younger people increasingly chose to live alone by their own free will for achieving their goals. 'Living alone' or 'going solo' is not thought negatively any more, but as a new market power in the future. Considering their value oriented consumption behaviors based on spirit of independence and individualism, they will need high-tech products more like AI adopted products than others because of their advantages for the value of single life. Thus, the rapid progress of AI technology is predicted to bring them satisfaction of their wants and it is suggested to prepare for the market segmentation of SH as AI end-users.