• 제목/요약/키워드: technical trends

검색결과 882건 처리시간 0.018초

전기차 응용을 위한 수직형 GaN 전력반도체 기술 동향 (Technical Trends in Vertical GaN Power Devices for Electric Vehicle Application)

  • 이형석;배성범
    • 전자통신동향분석
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    • 제38권1호
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    • pp.36-45
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    • 2023
  • The increasing demand for ultra-high efficiency of compact power conversion systems for electric vehicle applications has brought GaN power semiconductors to the fore due to their low conduction losses and fast switching speed. In particular, the development of materials and core device processes contributed to remarkable results regarding the publication of vertical GaN power devices with high breakdown voltage. This paper reviews recent advances on GaN material technology and vertical GaN power device technology. The GaN material technology covers the latest technological trends and GaN epitaxial growth technology, while the vertical GaN power device technology examines diodes, Trench FETs, JFETs, and FinFETs and reviews the vertical GaN PiN diode technology developed by ETRI.

일의 미래: 탈중앙자율조직 DAO (The Future of Work: Trends of Decentralized Autonomous Organizations)

  • 최선미
    • 전자통신동향분석
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    • 제38권1호
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    • pp.65-76
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    • 2023
  • Decentralized autonomous organizations (DAOs) is an effective and secure means to enable direct collaboration between people who want to achieve common goals in a digital environment, where believing each other without intermediaries from trusted third parties is difficult. DAO can flexibly implement most of the roles previously performed by existing organizations and finally aim for a new structure that functions independently without human intervention. Despite its technical and legal uncertainties and problems, DAO is rapidly expanding. This study examines trends such as the concept, use cases, participation methods, and deficiencies of DAO, which is called the future of work and helps to understand upcoming considerations.

모바일 네트워크 에너지 절감 기술 동향 (Trends in Mobile Network Energy-Saving Technology)

  • 정수정;홍승은;나지현
    • 전자통신동향분석
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    • 제38권2호
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    • pp.26-35
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    • 2023
  • Energy efficiency is an important factor toward sustainable future mobile network systems. As the size of the 5G mobile network system increases, the consumption and costs of energy increase. Accordingly, energy-saving optimization has become a major process in network systems, and various related technologies for energy saving are being developed. We provide a brief review of the technical trends in energy saving in 3GPP 5G & 5G Advanced systems and O-RAN systems. We focus on power models and energy-saving technologies in various resource domains of 3GPP 5G & 5G Advanced systems and energy-saving use cases of O-RAN systems.

우주 광통신 기술 동향 (Technology Trends in Space Optical Communications)

  • 여찬일;허영순;박시웅;김거식;강현서
    • 전자통신동향분석
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    • 제38권2호
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    • pp.85-95
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    • 2023
  • Space optical communication technology capable of large-capacity, high-speed, and low-latency communication can reduce the size, weight, and power consumption of radio frequency communications in existing satellite systems, thereby reducing launch costs, accommodating additional science instruments, and extending lifetime. Despite the high technical difficulty, various projects are being carried out in advanced countries regarding space technology for use in national security and defense, earth observation, and space communications. We review the advantages, key components, and development trends of space optical communication technology, which is attracting attention in applications such as satellite communications, intersatellite linking, and deep space communications.

신규 약물 설계를 위한 인공지능 기술 동향 (Technical Trends in Artificial Intelligence for De Novo Drug Design)

  • 한영웅;정호열;박수준
    • 전자통신동향분석
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    • 제38권3호
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    • pp.38-46
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    • 2023
  • The value of living a long and healthy life without suffering has increased owing to aging populations, transition to welfare societies, and global interest in health deriving from the novel coronavirus disease pandemic. New drug development has gained attention as both a tool to improve the quality of life and high-value market, with blockbuster drugs potentially generating over 10 billion dollars in annual revenue. However, for newly discovered substances to be used as drugs, various properties must be verified over a long period in a time-consuming and costly process. Recently, the development of artificial intelligence technologies, such as deep and reinforcement learning, has led to significant changes in drug development by enabling the effective identification of drug candidates that satisfy desired properties. We explore and discuss trends in artificial intelligence for de novo drug design.

이동통신망을 이용한 지리 기반 재난경보서비스의 국가별 동향 분석 (Service Trends by Country in Geography-based Public Warning Using Commercial Mobile Network)

  • 강현주;주상임;오승희;정우석
    • 전자통신동향분석
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    • 제38권3호
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    • pp.66-77
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    • 2023
  • Governments intend to use the public warning system to deliver timely and accurate information using accessible communication technologies for protecting the population and reducing damage to life and property. In particular, many countries implement system interworking with smartphones to notify of disasters or emergencies. In Korea, since 2020, due to the influence of the coronavirus disease, frequent emergency text messages led people to turn off related notifications, and complaints for receiving irrelevant messages from nearby warning areas have increased. Therefore, technical improvements for issuing more accurate disaster information to a specific region should be devised through a geography-based emergency disaster message transmission service. We analyze development trends of public warning systems and service cases of geography-based emergency text transmission services in various countries.

지능형 컴퓨팅 표준화 동향 (Trends in Standardization for Intelligent Computing)

  • 홍정하 ;이강찬
    • 전자통신동향분석
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    • 제38권4호
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    • pp.70-80
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    • 2023
  • In recent years, our society has shifted from an information society to an intelligent information society, in which computing has become a key factor in shaping and driving social development. In this new era of digital civilization powered by the Internet of Things, traditional data-based computing is no longer sufficient to meet the growing demand for higher levels of intelligence. Therefore, intelligent computing has emerged, reshaping traditional computing and forming new computing paradigms to promote the digital revolution in the era of the Internet of Things, big data, and artificial intelligence. Intelligent computing has greatly expanded the scope of computing through new computing theories, architectures, methodologies, systems, and applications, and it is expanding into diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human-computer fusion intelligence. This paper introduces the concept and main features of intelligent computing and describes trends in standardization for intelligent computing within the ISO/IEC JTC 1, focusing on the technical trend report on intelligent computing that is currently under development within ISO/ IEC JTC 1/AG 2.

위성/이동 통신 시스템에서의 가상화 기술 동향 (Virtualization Technology Trends in Satellite/Mobile Communication Systems)

  • 이승규;이준환;이문식
    • 전자통신동향분석
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    • 제39권1호
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    • pp.36-47
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    • 2024
  • Virtualization technology supports the execution of software unrelated to the hardware environment through the decoupling of software and hardware. Additionally, it enables network slicing, allowing one physical device to be divided and used by a function or service by supporting sharing with isolation. Virtualization enables flexible platform use, allowing a variety of services to be launched without changes or additions to the hardware platform. We describe virtualization technology trends in satellite/mobile communication systems. Basic concepts and technical definitions are included, and the current status of research and development by domestic and foreign organizations, including the Electronics and Telecommunications Research Institute, is analyzed. Finally, future prospects and implications are discussed.

청각장애인을 위한 햅틱 기반 음악 실감 기술 동향 (Haptic-based Music Experience Technology Trends for the Hearing Impaired)

  • 송영미;신승용;정치윤;김무섭
    • 전자통신동향분석
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    • 제39권1호
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    • pp.74-82
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    • 2024
  • Music is a means of emotional expression and self-expression. In addition, it allows to interact with others and communicate with the world. Music may be considered as inaccessible for people with hearing impairment, who are sometimes discriminated from the music community. We explore trends in various technologies and research that enable everyone to access and enjoy music through experiences that leverage new and innovative technological approaches and bridge the gap between people with and without hearing impairment. Various aspects of haptic systems are being studied, but most of them are performance-oriented and focus only on technical functions. As research matures, more detailed and new studies that converge with various senses are being attempted. These studies will likely evolve into influential research areas that can positively affect the lives of people in terms of accessibility and inclusion by providing detailed functions and stimuli to specific users, including those with hearing impairment.

거대언어모델 기반 로봇 인공지능 기술 동향 (Technical Trends in Artificial Intelligence for Robotics Based on Large Language Models)

  • 이준기;박상준;김낙우;김에덴;고석갑
    • 전자통신동향분석
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    • 제39권1호
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    • pp.95-105
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    • 2024
  • In natural language processing, large language models such as GPT-4 have recently been in the spotlight. The performance of natural language processing has advanced dramatically driven by an increase in the number of model parameters related to the number of acceptable input tokens and model size. Research on multimodal models that can simultaneously process natural language and image data is being actively conducted. Moreover, natural-language and image-based reasoning capabilities of large language models is being explored in robot artificial intelligence technology. We discuss research and related patent trends in robot task planning and code generation for robot control using large language models.