• Title/Summary/Keyword: Future trends

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Artificial Intelligence Applications on Mobile Telecommunication Systems (AI의 이동통신시스템 적용)

  • Yeh, C.I.;Chang, K.S.;Ko, Y.J.
    • Electronics and Telecommunications Trends
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    • v.37 no.4
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    • pp.60-69
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    • 2022
  • So far, artificial intelligence (AI)/machine learning (ML) has produced impressive results in speech recognition, computer vision, and natural language processing. AI/ML has recently begun to show promise as a viable means for improving the performance of 5G mobile telecommunication systems. This paper investigates standardization activities in 3GPP and O-RAN Alliance regarding AI/ML applications on mobile telecommunication system. Future trends in AI/ML technologies are also summarized. As an overarching technology in 6G, there appears to be no doubt that AI/ML could contribute to every part of mobile systems, including core, RAN, and air-interface, in terms of performance enhancement, automation, cost reduction, and energy consumption reduction.

Current Status and Future Trends of Cold Atmospheric Plasma as an Oncotherapy

  • Xiaofeng Dai;Jiale Wu;Lianghui Lu;Yuyu Chen
    • Biomolecules & Therapeutics
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    • v.31 no.5
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    • pp.496-514
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    • 2023
  • Cold atmospheric plasma (CAP), a redox modulation tool, is capable of inhibiting a wide spectrum of cancers and has thus been proposed as an emerging onco-therapy. However, with incremental successes consecutively reported on the anticancer efficacy of CAP, no consensus has been made on the types of tumours sensitive to CAP due to the different intrinsic characteristics of the cells and the heterogeneous design of CAP devices and their parameter configurations. These factors have substantially hindered the clinical use of CAP as an oncotherapy. It is thus imperative to clarify the tumour types responsive to CAP, the experimental models available for CAP-associated investigations, CAP administration strategies and the mechanisms by which CAP exerts its anticancer effects with the aim of identifying important yet less studied areas to accelerate the process of translating CAP into clinical use and fostering the field of plasma oncology.

Metaverse Technology Trends for Convergence Services (융합 서비스 확산을 위한 메타버스 기술 동향)

  • K.S. Lee;K.H. Kim;J.S. Choi;H.K. Kim
    • Electronics and Telecommunications Trends
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    • v.38 no.2
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    • pp.75-84
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    • 2023
  • Metaverse is expected to bring many innovations to society, culture, and economy by providing realistic services in various fields while suppressing time and space constraints. However, unclear definitions owing to the high diversity of the metaverse add to the confusion of the ecosystem participants. The current metaverse service has many voices of concern owing to technical limitations and lack of a clear profit model. Nevertheless, given its high growth potential driven by the digital transformation, a solid and long-term technology development strategy seems to be necessary. Accordingly, we analyze development cases centering on the major metaverse service shapes presented in the Metaverse New Industry Leading Strategy announced by the Ministry of Science and ICT in January 2022. In addition, we study the characteristics and core technologies of each metaverse service for its realization and discuss future stages of technological development.

Trend of Semantic Communication (시맨틱 통신 연구 동향)

  • D.S., Kwon;J.H., Na
    • Electronics and Telecommunications Trends
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    • v.37 no.6
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    • pp.74-83
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    • 2022
  • Shannon and Weaver's semantic communication has been actively studied in recent years as a new communication method to provide intelligent mobile services without requiring more capacity, infrastructure, and energy, even with limited radio resources. Considered a breakthrough beyond the Shannon paradigm, semantic communication aims at successfully transmitting semantic information conveyed by a source rather than accurately receiving each symbol or bit, regardless of meaning. Thus, semantic communication can lead to knowledgeable systems that significantly reduce data traffic because the transmitter only transmits the necessary information related to a specific task. This study describes essential differences between existing and semantic communication, research trends related to semantic communication principles and theory, performance metrics of semantic communication, semantic communication system framework, and future research and development issues.

Development of Market Distribution through Digital Marketing Transformation Trends to Maximize Sales Turnover for Traditional Beverage Products

  • Basrowi;Pertiwi UTAMI
    • Journal of Distribution Science
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    • v.21 no.8
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    • pp.57-68
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    • 2023
  • Purpose: The research aims to investigate the development of market distribution through digital marketing transformation trends with the support of universities. This development strategy is to maximize sales turnover of limited liability companies' typical traditional beverage products. Research design, data, and methodology: The research design uses descriptive qualitative methods. Data were obtained by participatory observation, in-depth interviews, FGDs, and documentation. Results: The result shows that the partner's traditional product market distribution strategy has been carried out by adopting science and technology and expertise possessed by partner universities. Universities that are Partners have benefited from the implementation of the Independent Campus program. Conclusions: The conclusion from the findings is that business actors must collaborate with universities through the Kedaireka Matchmaking Fund Program. The collaboration will create the right strategy development for the business. The government needs to provide more access to finance in the future. The hope is that the traditional beverage industry and higher education can realize the ease of synergy contributing to national development and the vision of the Indonesian Ministry of Education and Culture's independent campus.

Setting the New Trends for BIM in Construction: Productivity, Performance, Competitiveness, and Innovation

  • Wang, Xiangyu;Moon, Sungkon
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.21-22
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    • 2015
  • Productivity has been a wide-ranging challenge for the construction industry, both in Australia and globally. Particularly in Western Australia's construction and resources sectors, continuously low productivity will potentially discourage future investments. The emergence of the global marketplace necessitates that the supply chain needs to focus on the concept of the holistic efficiency. The isolated geographical position of Australia only exacerbates this phenomenon. In recent years, Building Information Modelling (BIM) has been suggested as an efficient way to help productivity improve and information management throughout supply chains. This keynote talk will focus on discussing ways of implementing BIM to enhance site productivity focusing on Western Australia's construction projects. It will show new trends of its applications to accomplish an innovative way in construction project management. The talk will also give an insightful summary of integrated methods with state-of-the-art technologies backboned by the BIM cases from construction and oil and gas industry projects.

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Trends in Video Visual Relationship Understanding (비디오 시각적 관계 이해 기술 동향)

  • Y.J. Kwon;D.H. Kim;J.H. Kim;S.C. Oh;J.S. Ham;J.Y. Moon
    • Electronics and Telecommunications Trends
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    • v.38 no.6
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    • pp.12-21
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    • 2023
  • Visual relationship understanding in computer vision allows to recognize meaningful relationships between objects in a scene. This technology enables the extraction of representative information within visual content. We discuss the technology of visual relationship understanding, specifically focusing on videos. We first introduce visual relationship understanding concepts in videos and then explore the latest existing techniques. Next, we present benchmark datasets commonly used in video visual relationship understanding. Finally, we discuss future research directions in video visual relationship understanding.

Analysis of Research Trends in Mathematics Education regarding the Educational Environment based on Digital Technology (디지털 기술 교육 환경 기반 수학교육에 대한 국내 선행 연구의 경향성 분석 연구)

  • Ko, Ho Kyoung;Maeng, Unkyoung;Son, Bok Eun
    • East Asian mathematical journal
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    • v.39 no.4
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    • pp.437-454
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    • 2023
  • The core of the change in the era of the 4th industrial revolution is the change in the base of 'digital technology'. These changes are incomparably large and are expected to have a more important impact on our lives than ever before. One of the major inflection points in the transition to the digital era is the education field, and IT technology has become an essential element in the educational field. Accordingly, this study examines domestic research trends related to the educational environment based on digital technology. Then, we would like to provide implications for the establishment of a digital-based educational environment that will change in the future. To this end, Semantic network analysis has been conducted to quantitatively structure text data obtained from studies related to digital technology in the field of mathematics education over the past 10 years, and the discussion will continue based on the results.

Trends and Development Prospects in Broadcasting Technology (방송 기술 동향 및 발전 전망)

  • J.S. Um;B.M. Lim;H.Y. Jung;S.K. Ahn;H.J. Yim;J.H. Seo
    • Electronics and Telecommunications Trends
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    • v.39 no.2
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    • pp.43-53
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    • 2024
  • The media environment is rapidly evolving to be tailored to viewers using personal mobile devices in accordance with technological evolution and changes in social structures. Broadcast media technology is also advancing to enable new services, including data casting, in various reception environments beyond the existing fixed environment and one-way audio/video content services. In addition, technologies to increase the transmission capacity to accommodate next-generation large-capacity media content as well as communication network utilization and convergence technologies are being developed to facilitate interactive services and expand the broadcasting coverage. We discuss the current status and future prospects in broadcasting technology for terrestrial and mobile communication systems and analyze broadcasting technology elements for upcoming media environments relying on generative artificial intelligence.

Topic Modeling on Patent and Article Big Data Using BERTopic and Analyzing Technological Trends of AI Semiconductor Industry (BERTopic을 활용한 텍스트마이닝 기반 인공지능 반도체 기술 및 연구동향 분석)

  • Hyeonkyeong Kim;Junghoon Lee;Sunku Kang
    • Journal of Information Technology Applications and Management
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    • v.31 no.1
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    • pp.139-161
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    • 2024
  • The Fourth Industrial Revolution has spurred widespread adoption of AI-based services, driving global interest in AI semiconductors for efficient large-scale computation. Text mining research, historically using LDA, has evolved with machine learning integration, exemplified by the 2021 BERTopic technology. This study employs BERTopic to analyze AI semiconductor-related patents and research data, generating 48 topics from 2,256 patents and 40 topics from 1,112 publications. While providing valuable insights into technology trends, the study acknowledges limitations in taking a macro approach to the entire AI semiconductor industry. Future research may explore specific technologies for more nuanced insights as the industry matures.