• Title/Summary/Keyword: and Technology Development Trends

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ETRI AI Strategy #7: Preventing Technological and Social Dysfunction Caused by AI (ETRI AI 실행전략 7: AI로 인한 기술·사회적 역기능 방지)

  • Kim, T.W.;Choi, S.S.;Yeon, S.J.
    • Electronics and Telecommunications Trends
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    • v.35 no.7
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    • pp.67-76
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    • 2020
  • Because of the development and spread of artificial intelligence (AI) technology, new security threats and adverse AI functions have emerged as a real problem in the process of diversifying areas of use and introducing AI-based products and services to users. In response, it is necessary to develop new AI-based technologies in the field of information protection and security. This paper reviews topics such as domestic and international trends on false information detection technology, cyber security technology, and trust distribution platform technology, and it establishes the direction of the promotion of technology development. In addition, the development of international trends in ethical AI guidelines to ensure the human-centered ethical validity of AI development processes and final systems in parallel with technology development are analyzed and discussed. ETRI has developed AI policing technology, information protection, and security technologies as well as derived tasks and implementation strategies to prepare ethical AI development guidelines to ensure the reliability of AI based on its capabilities.

Trends in Disaster Prediction Technology Development and Service Delivery (재난예측 기술 개발 및 서비스 제공 동향)

  • Park, Soyoung;Hong, Sanggi;Lee, Kangbok
    • Electronics and Telecommunications Trends
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    • v.35 no.1
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    • pp.80-88
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    • 2020
  • This paper describes the development trends and service provision examples of disaster occurrence and spread prediction technology for various disasters such as tsunamis, floods, and fires. In terms of fires, we introduce the WIFIRE system, which predicts the spread of large forest fires in the United States, and the Metro21: Smart Cities Institute project, which predicts the risk of building fires. This paper describes the development trends in tsunami prediction technology in the United States and Japan using artificial intelligence (AI) to predict the occurrence and size of tsunamis that cause great damage to coastal cities in Japan, Indonesia, and the United States. In addition, it introduces the NOAA big data platform built for natural disaster prediction, considering that the use of big data is very important for AI-based disaster prediction. In addition, Google's flood forecasting system, domestic and overseas earthquake early warning system development, and service delivery cases will be introduced.

Development Trends of Defense Science and Technology based on the 4th Industrial Revolution (제4차 산업혁명 기반의 국방과학기술 개발 동향)

  • Jeong, Y.H.;Kim, S.N.;Park, H.S.
    • Electronics and Telecommunications Trends
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    • v.35 no.6
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    • pp.56-67
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    • 2020
  • The core technologies of the 4th Industrial Revolution, such as artificial intelligence, the Internet of Things, the cloud, big data, and mobile networks, are inspiring major changes and innovations in the defense sector worldwide. The United States, China, and Russia are pursuing defense research and development strategies that seek to maintain their leadership on the battlefield in the future through the overwhelming superiority of defense science technology. Defense science and technology concentrate on the development of challenging new disruptive technologies to efficiently respond to future battlefield environments, where the immediate process of determining the outcome of a war will lead to combat power. In this paper, we first look at the development strategies of the 4th Industrial Revolution in major countries and describe the latest trends in defense science and technology accordingly.

Development Trends of Small Unmanned Ground Vehicles in Technology Leading Countries (기술 선도국의 소형 무인 지상 차량 개발 동향)

  • Ryu, Jun-Yeol;Kim, Soo-Chan;Kim, Tae-Wan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.1
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    • pp.214-220
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    • 2021
  • SUGVs (Small Unmanned Ground Vehicles) are being used to conduct dangerous missions, such as EOD (explosive ordinance disposal), counter-terrorism operations, fire extinguishing and fire-fighting reconnaissance, reconnaissance of disaster areas, and surveillance of contact areas. Technology leading countries, the United States, United Kingdom, France, Germany, and Israel, have developed and operated various SUGVs for use in the military and civilian fields. The developed system was upgraded further based on additional requirements associated with data collected during the actual operation. The development trends of technology leading countries are an important indicator for the future development of SUGVs. In this study, the development trends and missions of SUGVs operating in the technology leading countries were analyzed. Based on the development trends of SUGVs in these countries, this paper discusses the features and design characteristics needed for the development of SUGVs in future military and civilian domains.

Monitoring Trends of Safety Technology Development of Industry Fields Using Patent Analysis (특허분석을 활용한 산업별 안전기술개발 동향 모니터링)

  • Choi, Yuri;Suh, Yongyoon
    • Journal of the Korean Society of Safety
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    • v.35 no.4
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    • pp.92-100
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    • 2020
  • Along with the rapid development of industrial technology, the industrial structure has been continuously changed. Accordingly, safety technologies have been gradually developed to be applied into various industrial fields as well, not limited to a specific industry area. As a result, it became important to analyze and predict trends of safety technology development in order to establish technology strategies for industrial safety. In particular, since patents are easily accessible to gather the technology and business information, many studies have highlighted technology forecasting using patent information. Thus, this study proposes the patent analysis of monitoring trends of safety technologies of industry fields, taking into account both static and dynamic aspects through index and text analysis. First, patent documents containing safety-related keywords are collected from the WIPSON database for extracting technology information. Then, the development trends of safety technologies by industry fields are identified and analyzed through the analysis of indicators such as marketability, growth, and activation. The results of various indicator analyses of safety technologies are visualized to compare among industrial safety technologies for businesses and technology developers. Second, textmining algorithm is applied to identify trends of specific technology keywords of major industries extracted from patent index analysis. As a result, it is expected that the safety manager uses the patent analysis of safety technologies to provide safety technology information with safety-related companies and institutes. The extracted safety technologies are applicable to business practice and predict future promising technologies.

Technical Trends in On-device Small Language Model Technology Development (온디바이스 소형언어모델 기술개발 동향)

  • G. Kim;K. Yoon;R. Kim;J. H. Ryu;S. C. Kim
    • Electronics and Telecommunications Trends
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    • v.39 no.4
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    • pp.82-92
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    • 2024
  • This paper introduces the technological development trends in on-device SLMs (Small Language Models). Large Language Models (LLMs) based on the transformer model have gained global attention with the emergence of ChatGPT, providing detailed and sophisticated responses across various knowledge domains, thereby increasing their impact across society. While major global tech companies are continuously announcing new LLMs or enhancing their capabilities, the development of SLMs, which are lightweight versions of LLMs, is intensely progressing. SLMs have the advantage of being able to run as on-device AI on smartphones or edge devices with limited memory and computing resources, enabling their application in various fields from a commercialization perspective. This paper examines the technical features for developing SLMs, lightweight technologies, semiconductor technology development trends for on-device AI, and potential applications across various industries.

Trends in Display Technology Development Applying Inkjet Printing Principles (잉크젯 프린팅 원리를 적용한 디스플레이 기술 개발 동향)

  • B.H. Kwon;C.W. Joo
    • Electronics and Telecommunications Trends
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    • v.38 no.1
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    • pp.26-35
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    • 2023
  • Inkjet printing is a typical printing technology with many advantages, such as material cost reduction, noncontact pattern formation without a mask, and process simplification. With the recent and rapid development of ink materials, parts and equipment, and process technologies related to inkjet printing, it is becoming a major process in various areas of the display industry. In particular, for the QD-OLED (quantum dot-organic light-emitting diode) display announced by Samsung Display in 2022, quantum dot pixel production by applying inkjet printing is a key technology. We analyze inkjet printing technology for mass production applied to the display industry and discuss the technology development trends in academia and industry toward the realization of next-generation displays.

An Analysis on the Development Trends of Gene Therapy (유전자치료의 기술개발 동향분석)

  • 손은수;이상필;민완기
    • Journal of Korea Technology Innovation Society
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    • v.5 no.3
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    • pp.340-353
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    • 2002
  • The purpose of this paper was to analyze the development trends of gene therapy. The possibility of technological development and commercialization of gene therapy has been increased along with the success of Human Genome Project. A lot of gene-therapy-based R&D and clinical trials have been advanced. The US and EU have led the global technological development, and Korea is in early stage although many institutions and firms have participated in this area.

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V2X Technology Trends for Next-Generation Mobility

  • Kim, Young-Hak
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.7-13
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    • 2020
  • We describes V2X technology, a connectivity-based recognition technology that is attracting attention as a key technology for implementing autonomous driving technology, and autonomous communication modules that implement ADAS technology, a sensor-based recognition technology. It also explains the trends in V2X technology standardization centered on IEEE 802.11p, which is a WAVE technology standard based on Wi-Fi/DSRC. Finally, we will discuss the market growth trend of V2X communication modules in the United States, the leading V2X technology module, and the development of technology development trends of major domestic and international companies that are leading the global technology market related to V2X communication modules. V2X and ADAS technologies will be the biggest influence on automotive purchasing decisions. In recent years, V2I mandates have been promoted beyond V2V, mainly in developed countries such as the United States. The related industry needs to focus on the development of information transmission network technology that can support high frequency high efficiency(transmission rate) and sophisticated positioning accuracy beyond conventional vehicle communication.

Patent map development of High-efficiency electric machineries (고효율 전기기기 특허동향 분석)

  • 박종진;이창호;김남정
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2000.11a
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    • pp.177-193
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    • 2000
  • In foreign countries, high-efficiency electric machineries have been developed in view of cost reduction, environmental issues, energy conservation etc. Especially they focus on developing energy conservation measures and demand-side management. Thus, patent application and secure of patent claims are on the rise as important issues in this field. In this paper, we analyzed patent application trends about inverters, ac/dc converters, reactive power control equipments, high-efficiency transformers and electric ballasts among high-efficiency electric machineries. First, we analyzed general technology trends, and constructed patent technology data. Second, we graphed patent application trends in terms of application years, assignees and nations.

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