• Title/Summary/Keyword: AI and IoT

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스마트 플로팅 팜(Smart Floating Farm) 사례조사 연구

  • Seong, Hae-Min;Lee, Han-Seok;Gang, Yeong-Hun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.125-126
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    • 2019
  • 스마트농장과 스마트양식장으로 구분하여 첨단 정보통신기술(ICT), 사물인터넷(IoT), 인공지능(AI) 그리고 빅데이터 등이 적용된 국내외 스마트농장과 스마트양식장 사례와 해수를 이용한 해수온실의 사례 그리고 플로팅 팜과 스마트 플로팅 팜의 계획안 및 실제 사례를 분석했다. 사례분석을 통해 스마트 플로팅 팜에 적용되는 다양한 종류의 시스템을 분류하여 해수복합형 시스템 개념을 도출해냈다.

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IMO MASS Code 개발 현황과 대한민국의 표준화 대응 방안

  • 안창수;장상진;서성미;정승만
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2023.05a
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    • pp.219-220
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    • 2023
  • 인공지능(AI), 사물인터넷(IoT) 등 관련 기술의 발전으로 자율운항선박 상용화가 임박하게 되었다. 국제해사기구(IMO)는 새로운 기술도입을 촉진하는 한편, 신기술 도입에 따른 위험을 최소화하기 위하여 자율운항선박 협약(MASS Code)을 개발하고 있다. 대한민국 또한 '자율운항선박 기술개발 사업(KASS)' 추진을 통하여 기술개발과 핵심기술의 국제표준화를 추진하고 있다. 이 연구에서는 현재까지 협약 개발의 국제적 현황을 분석 후 대한민국 핵심기술을 국제적으로 표준화하기 위한 대응방안에 대해 제시하였다.

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A Study on Intrusion Detection Using Deep Learning-based Weight Measurement with Multimode Fiber Speckle Patterns

  • Hyuek Jae Lee
    • Current Optics and Photonics
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    • v.8 no.5
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    • pp.508-514
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    • 2024
  • This paper presents a deep learning-based weight sensor, using optical speckle patterns of multimode fiber, designed for real-time intrusion detection. The weight sensor has been trained to identify 11 distinct speckle patterns, ranging in weight from 0.0 kg to 2.0 kg, with an interval of 200 g between each pattern. The estimation for untrained weights is based on the generalization capability of deep learning. This results in an average weight error of 243.8 g. Although this margin of error precludes accurate weight measurement, the system's ability to detect abrupt weight changes makes it a suitable choice for intrusion detection applications. The weight sensor is integrated with the Google Teachable Machine, and real-time intrusion notifications are facilitated by the ThingSpeakTM cloud platform, an open-source Internet of Things (IoT) application developed by MathWorks.

Research on A Comprehensive Study on Building a Zero Knowledge Proof System Model (영지식 증명 시스템 구축 연구)

  • Sunghyuck Hong
    • Advanced Industrial SCIence
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    • v.3 no.3
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    • pp.8-13
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    • 2024
  • Zero Knowledge Proof (ZKP) is an innovative decentralized technology designed to enhance the privacy and security of virtual currency transactions. By ensuring that only the necessary information is disclosed by the transaction provider, ZKP protects the confidentiality of all parties involved. This ensures that both the identity of the transacting parties and the transaction value remain confidential.ZKP not only provides a robust privacy function by concealing the identities and values involved in blockchain transactions but also facilitates the exchange of money between parties without the need to verify each other's identity. This anonymity feature is crucial in promoting trust and security in financial transactions, making ZKP a pivotal technology in the realm of virtual currencies. In the context of the Fourth Industrial Revolution, the application of ZKP contributes significantly to the comprehensive and stable development of financial services. It fosters a trustworthy user environment by ensuring that transaction privacy is maintained, thereby encouraging broader adoption of virtual currencies. By integrating ZKP, financial services can achieve a higher level of security and trust, essential for the continued growth and innovation within the sector.

The University Gusdance System using the Alexa (Alexa를 이용한 대학안내 시스템)

  • Kim, Tae Jin;Kim, Dong Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.11
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    • pp.2061-2066
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    • 2017
  • The voice recognition technology is to recognize the voice of an user and execute the command. Recently, the voice recognition is evolving to the artificial intelligence voice recognition by adding the scheme of the natural language processing. The AI voice recognition is exploited to control the IoT devices or provide the information, such as the news or the wether. The University Information which is one of fields serviced by the information provider is mainly presented on the web. However, since too much information are presented on the web, it is difficult for an user to find efficiently the specific information which the user want to know. In this paper, we design and implement the university guidance system to recognize the user voice searching the information and provide the result using the voice. To do this, we classify the university data and design the lambda function to provide the data.

Research on Information & Communication Work Business in Response to the Fourth Industrial Revolution (4차 산업혁명과 정보통신공사업계의 대응 방안 연구)

  • Kim, Seokyoung;Ryoo, Kwangki
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.1
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    • pp.139-146
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    • 2019
  • The Fourth Industrial Revolution is the super-connected-based intelligent revolution, which is triggered by intelligence information technology such as AI and IoT. Radical changes in industrial structure being expected, major developed countries are counteracting it by preparing strategies to enhance industrial competitiveness for taking the lead in the Fourth Industrial Revolution. Korea's national preparations, however, are considered to be insufficient, as it ranks only $25^{th}$ in the world. In compliance with the issue, preparing relevant policies and strategies such as establishment of the Fourth Industrial Revolution Committee, government diagnoses the pending issue of information and communication industry and arranges countermeasures so that it intends to gain competitiveness in the industry and lays a foundation for leading the market.

A Smart Closet Using Deep Learning and Image Recognition for the Blind (시각장애인을 위한 딥러닝과 이미지인식을 이용한 스마트 옷장)

  • Choi, So-Hee;Kim, Ju-Ha;Oh, Jae-Dong;Kong, Ki-Sok
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.6
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    • pp.51-58
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    • 2020
  • The blind people have difficulty living an independent clothing life. The furniture and home appliance are adding AI or IoT with the recent growth of the smart appliance market. To support the independent clothing life of the blind, this paper suggests a smart wardrobe with closet control function, voice recognition function and clothes information recognition using CNN algorithm. The number of layers of the model was changed and Maxpooling was adjusted to create the model to increase accuracy in the process of recognizing clothes. Early Stopping Callback option is applied to ensure learning accuracy when creating a model. We added Dropout to prevent overfitting. The final model created by this process can be found to have 80 percent accuracy in clothing recognition.

Battery swelling detection system based on adaptive resistance change on battery pack surface (적응적 배터리 팩 피막 저항 변화 감지를 통한 배터리 스웰링 감지 기법)

  • Sunghyun Park;Kibum Sung;Jaehyun Park;Donghwa Shin
    • Journal of IKEEE
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    • v.27 no.1
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    • pp.85-92
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    • 2023
  • Recently, as the era of the 4th Industrial Revolution approaches, IoT devices that emphasize portability are increasing. At the same time, battery usage is also increasing rapidly. With the rapid increase in battery usage, issues related to battery safety have become inevitable problems and many studies have been conducted. This paper deals with explosion issues caused by swelling among various battery issues, and includes research and development of a system that detects battery swelling by identifying resistance changes. The core technology of this study is to develop a system that frequently detects changes in the resistance of wires drawn on the battery through changes in volume that occur when the battery swelling, and uses the resistance changes to prevent battery explosion. In addition, through pattern analysis, it was analyzed how the wire should be constructed to cause a lot of resistance changes.

Current Status on UWV Live Broadcasting System Development for Trial Service at Pyeongchang Winter Olympic Game (평창동계올림픽 시범서비스를 위한 UWV 실황중계시스템 개발 현황)

  • Seo, Jeongil;Seok, Joo Myoung;Cho, Yongju;Kim, Hyun Cheol;Ahn, Sangwoo
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.06a
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    • pp.121-122
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    • 2017
  • 미래창조과학부는 우리나라 최고의 ICT 제품과 서비스를 활용하여 평창동계올림픽을 성공적으로 지원하고, 향후 주요 경기개최국과 해외시장에 수출전략을 품목화하여 올림픽의 부가가치를 창출함으로써 돈버는 올림픽을 완성하겠다는 계획하에 5G, IoT, UHD, VR, AI 5개 분야에 대한 시범서비스를 준비하고 있다. 한국전자통신연구원은 UHD급 초고화질 영상과 100도 이상의 시야각을 이용하여 현장감을 극대화하는 UWV(Ultra Wide Vision) 기술을 개발하고 있으며, 평창동계올림픽 기간 동안 UWV 상영관을 운영하여 기존의 TV나 영화와 차별화된 몰입감을 제공하는 초실감 미디어 서비스를 제공하고자 한다. 또한 방송서비스로의 적용가능성을 타진하기 위한 주요 올림픽 경기실황중계 시범서비스를 추진하고 있다.

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A Study on IT Contents for Theme Road Tourism (테마로드 관광 IT 콘텐츠 개발)

  • Kim, Tae-Wook;Gwon, Ui-Jun;Kim, Gyeong-Ryeong;O, Jong-Won;Lee, Jeong-U;Kim, Hye-Seon;Kim, Min-Su;Lee, Byeong-Gwon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.637-639
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    • 2019
  • 최근 관광산업은 AI, 빅데이터, IoT, 증강현실 등 4 차 산업혁명 관련 기술이 활용을 활용하여 관광산업 활성화를 도모하고 있다. 모바일 애플리케이션을 통한 개인 맞춤형 서비스가 다수 개발되고 있으나, 낙후된 지역사회 관광지에는 아직까지 테마로드 같은 콘텐츠 개발이 미비한 상황이다. 이에 본 연구에서는 QR 코드, 블루투스, 비콘 등의 기술을 기반으로 사용자가 쉽게 이용할 수 있는 위치 기반 서비스 알고리즘을 개발하고자 하며 이를 통해 침체된 구도시의 관광객 유치와 관람객들이 재미있게 활용할 수 있는 테마로드 콘텐츠를 제공하고자 한다.