• 제목/요약/키워드: Future trends

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Active Implantable Device Technology Trend: BCI Application Focus (능동형 임플란터블 디바이스 기술동향: BCI 응용 중심)

  • Lee, S.Q.;Byun, C.W.;Kim, Y.G.;Park, H.I.
    • Electronics and Telecommunications Trends
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    • v.32 no.6
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    • pp.27-39
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    • 2017
  • A variety of medical devices are utilized to repair or help injured body functions after accidental injury(such as a traffic accident), population aging, or disease. Such medical devices are being actively researched and developed in portable form, skin patchable type, and further, implantable form. In the future, active implantable medical devices for neuro and brain sciences are expected to be developed. Active implantable medical devices that detect brain signals and control neurology for a wider understanding of human cognition and nerve functions, and for an understanding and treatment of various diseases, are being actively pursued for future use. In this paper, the core elements of implantable devices that can be applied to neuro and brain sciences are classified into electrode technologies for bio-signal acquisition and stimulation, analog/digital circuit technologies for signal processing, human body communication technologies, wireless power transmission technologies for continuous device use, and device integration technologies to integrate them. In each chapter, the latest technology development trends for each detailed technology field are reviewed.

Status Review of Power Electronic Converters for Fuel Cell Applications

  • Emadi, Ali;Williamson, Sheldon S.
    • Journal of Power Electronics
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    • v.1 no.2
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    • pp.133-144
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    • 2001
  • Power electronics plays an important role in providing an interface between fuel cells and loads. Furthermore, power electronic converters ensure that the power is reliably and efficiently delivered to the load in the required DC or AC form. In this paper, major types of fuel cells are presented. Basic structures, operating principles, and different applications of fuel cells are described. In addition, current status and future trends in the areas of power electronics for fuel cells are described. In addition, current statue and future trends in the areas of power electronics for fuel cell applications are explained. A review of fuel cell power electronic system topologies and basic requirements are given as well.

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Past, Present, and Future of IoT (IoT의 과거, 현재 그리고 미래)

  • Kim, H.;Hwang, S.K.
    • Electronics and Telecommunications Trends
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    • v.33 no.2
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    • pp.1-9
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    • 2018
  • In the past, the Internet connected people together; recently, however it has been extended to the Internet of Things (IoT), allowing all things in the physical world to be connected. We call a new society in which everything is connected through IoT a 'hyper-connected society'. IoT for a hyper-connected society is more than just connecting things to the Internet, it is an infrastructure providing intelligent services without human intervention by connecting things to the Internet using sensors and communication functions, collecting data from connected things, and analyzing and predicting information. Therefore, IoT is a convergence technology that includes not only sensors and communication networks but also big data and AI. This paper examines the short history of IoT, reviews its current trends, and finally, discusses its future direction.

Factors for Science Park Planning

  • Wasim, Muhammad Umer
    • World Technopolis Review
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    • v.3 no.2
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    • pp.97-108
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    • 2014
  • The importance of a science park as an instrument of economic development has been realized by developed economies for past three decades. To comprehend the same, developing economies are also planning and implementing science park ventures. However, in terms of planning, science parks are not objects of global consensus because unlike hotel and restaurant chains, which could be planned with similar standards in different regions or countries, there is no single global standard that can be best-fit for science parks. To meet the need for a better understanding of planning, this research studied science parks in developed and developing economies to identify factors that are globally used in this context. This research also extends our knowledge of best practices for growth, governance and sustainability in science parks, and highlights future trends and external factors that may contribute significantly during planning.

A Study on the Future of eCommerce Systems (전자상거래의 미래에 대한 연구)

  • Choi, Se Ill
    • Smart Media Journal
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    • v.4 no.3
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    • pp.68-73
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    • 2015
  • This paper addresses the trends of e-Commerce systems. Most of the people around us might think that the e-Commerce system be saturated functionally and socially, and might be skeptic against the advancement of the e-Commerce system. But this paper analyzed the problems embedded in the current e-Commerce systems and compared those problems with IT trends to figure out possible functions in future e-Commerce systems.

A Method to Forecast the Computer Technology Trends based on Computer Languages (컴퓨터 언어를 기반으로 한 컴퓨터기술의 발전방향 예측)

  • Choi, Se Ill
    • Smart Media Journal
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    • v.5 no.3
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    • pp.88-92
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    • 2016
  • This paper proposes a method of forecasting the computer technology development direction. Most computer technology researches in Korea are developed from hot research issues. This approach to take research topics mostly produces less valuable results. In order to choose more valuable research topics, researchers should company with the technology development trends. This paper proposes a way to forecast the computer technologies on the way to the future. It analyzes the development history of programming languages, and forecasts future directions as extensions of the history.

A Survey on Image Emotion Recognition

  • Zhao, Guangzhe;Yang, Hanting;Tu, Bing;Zhang, Lei
    • Journal of Information Processing Systems
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    • v.17 no.6
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    • pp.1138-1156
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    • 2021
  • Emotional semantics are the highest level of semantics that can be extracted from an image. Constructing a system that can automatically recognize the emotional semantics from images will be significant for marketing, smart healthcare, and deep human-computer interaction. To understand the direction of image emotion recognition as well as the general research methods, we summarize the current development trends and shed light on potential future research. The primary contributions of this paper are as follows. We investigate the color, texture, shape and contour features used for emotional semantics extraction. We establish two models that map images into emotional space and introduce in detail the various processes in the image emotional semantic recognition framework. We also discuss important datasets and useful applications in the field such as garment image and image retrieval. We conclude with a brief discussion about future research trends.

Metaverse and NFT Business Model Trends and Considerations (메타버스와 NFT 비즈니스 모델현황 및 고려사항)

  • W.H. Seok
    • Electronics and Telecommunications Trends
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    • v.38 no.2
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    • pp.56-65
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    • 2023
  • The combination between metaverse and non-fungible token (NFT), which opens up new opportunities for the media industry, raised expectations for a new economic system and business model. Of course, last year, various institutions and researchers continuously introduce representative metaverse services and business strategies such as Roblox, Fortnite, and ZEPETO. However, as 2022 progresses, the reaction to the metaverse is tepid than expected. Search volume on Google has been continuously decreasing. Furthermore, skepticism, regarded as one of the special phenomena caused by the coronavirus disease 2019 pandemic, is expanding since December 2021. Nevertheless, analysis or contemplation of a new business model related to the metaverse, which is still ongoing, is essential for those who must prepare for the future. The reason is that even if without being activated now, advanced preparation can help when various problems arise. In this study, we look at the metaverse and NFT biz models and estimate a picture of the future. In other words, the social and economic problems that may arise when the business model is expanded are summarized, and technical and policy measures are derived as solutions.

Evolution of Industrial IoT Network Technology: Past, Present, and Future Trends (산업용 IoT 네트워크 기술의 진화: 과거, 현재, 미래 동향)

  • T.J. Park;E.H. Kim;J.S. Cha;K.S. Lee
    • Electronics and Telecommunications Trends
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    • v.38 no.3
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    • pp.20-28
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    • 2023
  • Wireless communication technology has mainly been used to fulfill the demands of industrial sites at which performance is not a critical concern. However, ongoing discussions and efforts are now focused on securing core wireless communication technologies to enable the transformation or expansion of wired industrial IoT (Internet of Things) network technology into a flexible and dynamic smart manufacturing system. This paper provides an overview of current wireless industrial IoT network technology and the recent wireless time-sensitive networking technology. It outlines the challenging level of reliability required for wireless communication technology to coexist with or replace its wired counterpart in future smart manufacturing systems. Additionally, we introduce ultra-reliable time deterministic network as the core technology of wireless industrial communications and focus on its reliability and delay characteristics.

Future Trends of Higher Education and Learning Analytics Technology (고등교육의 미래 동향과 학습분석 기술)

  • Lee, Myung-Suk;Pak, Ju-Geon;Lee, Joo-Hwa
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.01a
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    • pp.345-347
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    • 2021
  • 본 연구는 최근 Horizon report 2020에서 소개하는 고등교육 분야에 영향을 줄 트렌드와 기술 사례들을 수집하여 고등교육의 미래 동향과 학습 분석적 측면에서 분석하였다. 고등 교육이 교수·학습을 중심으로 영향을 줄 트렌드로는 기술적 트렌드, 고등교육 트렌드, 경제적 트렌드 등이 있으며 기술 사례로는 적응형 학습, 인공지능/머신기능 기술의 교육적 활용, 학업 성취도 분석을 위한 학습 분석, 확장 현실 기술 등이 있다. 이 중 학습 분석 기술은 학습자의 학업 성취도를 높이기 위한 방법으로 사용되는 유용한 기술이기도 하며 고등교육에 영향을 줄 가장 핵심 트렌드이기도 하다. 그러나 현실 학습에 적용하는데는 데이터 격차, 품질 문제, 개인 정보보호에 대한 문제 등 윤리적 문제를 함께 고려해야한다. 본 연구를 기반으로 한 향후 학습 분석 시스템을 개발하고자 한다.

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