• Title/Summary/Keyword: technology trends

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Comparative analysis of US and China artificial intelligence patents trends

  • Kim, Daejung;Jeong, Joong-Hyeon;Ryu, Hokyoung;Kim, Jieun
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.25-32
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    • 2019
  • With the rapid development of artificial intelligence technology, the patenting activities related to the fields of AI is increasing worldwide. In particular, a share of patent filed in China has exploded in recent years and overtakes the numbers in the US. In the present study, we focus our attention on the patenting activity of China and the US. We analyzed 6,281 and 13,664 patent applications in the US and China respectively between 2008 and 2018, and belonging to the "G06F(Electric Digital Data Processing)", "G06N(Computer Systems Based on Specific Computational Models)", "H04L(Transmission of Digital Information)" and nine more relevant technological classes, as indicated by the International Patent Classification(IPC). Our analysis contributes to: first, the understanding of patent application trends from foreign countries filed in the US and China, 2) patent application status by applicants category such as companies, universities and individuals, 3) the development direction and forecasting vacant technology of AI according to main IPC code. Through the analysis of this paper, we can suggest some implications for patent research related to artificial intelligence in Korea. Plus, by analyzing the most recent patent data, we can provide important information for future artificial intelligence technology research.

Quantum Computing Policy and Technology Trends and Implications (양자컴퓨터 정책 및 기술 동향과 시사점)

  • J.H. Chung
    • Electronics and Telecommunications Trends
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    • v.38 no.1
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    • pp.1-8
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    • 2023
  • In this research, policies, and technology trends associated with quantum computers were examined, and through this, implications for domestic methods were derived. It is not a guarantee that developing quantum computing technology suited for domestic use would be successful to emulate the success stories of technology-leading nations. Technology leaders like the United States, China, and Europe are putting together strategic technology blocks to compete for technological hegemony. Adapting to and exploiting this trend will help us develop future technologies and secure market competitiveness. The dominant technology in the area of quantum computing has not yet been established. In the future, there will be fair competition in every specific technology area. At this point, it may be claimed that making audacious decisions will still lead to technological superiority.

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.

Technology Trends in Wireless Communication for Railway Systems (철도전용 무선통신 기술 동향)

  • Lee, S.J.;Oh, S.C.;Yoon, B.S.;Jeong, H.S.
    • Electronics and Telecommunications Trends
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    • v.36 no.4
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    • pp.23-33
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    • 2021
  • Wireless communication for train control is an active research field. The World Railway Federation in Europe developed GSM-R, which integrates the GSM-based voice call standard and train control signals. To provide advanced railway services, the LTE-R wireless communication system was developed in Korea for passenger services and wireless image information required by the railroad industry. Recently, direct communication technology for autonomous train driving has been studied to decrease the driving interval, and research is being conducted on a hyperloop train control system that runs at a maximum speed of 1,220km/h in a subvacuum environment of 0.001 atmosphere. In this paper, we summarize the trends in wireless communication technologies used for GSM-R/LTE-R railway systems. For future wireless communication in railway systems, we discuss autonomous train driving and the hyperloop railway control system, define wireless communication technology, and discuss trends in domestic and foreign technologies.

Future Research Direction through Reviewing Recent Trends in Environment-friendly Vehicles Research (Part 1) (친환경자동차의 연구동향 분석을 통한 미래 발전방향 제안 (Part 1))

  • Ahn, Kyu Hwan;Ko, Jang Hyok
    • Journal of the Semiconductor & Display Technology
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    • v.21 no.4
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    • pp.144-150
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    • 2022
  • In this paper, we analyze the current research technology trends through the literature reviews of technical outlines of electric vehicles and hydrogen fuel cell vehicles, domestic and overseas policy trends, etc. After analyzing the literature, we found out while the re-use and recycling of waste batteries and the in-wheel motor systems are essential areas for the development of electric vehicles and hydrogen fuel cell vehicles, the related research is not quite sufficient, so the direction for further research is proposed at the conclusion.

Discovery of promising business items by technology-industry concordance and keyword co-occurrence analysis of US patents. (기술-산업 연계구조 및 특허 분석을 통한 미래유망 아이템 발굴)

  • Cho Byoung-Youl;Rho Hyun-Sook
    • Journal of Korea Technology Innovation Society
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    • v.8 no.2
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    • pp.860-885
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    • 2005
  • This study relates to develop a quantitative method through which promising technology-based business items can be discovered and selected. For this study, we utilized patent trend analysis, technology-industry concordance analysis, and keyword co-occurrence analysis of US patents. By analyzing patent trends and technology-industry concordance, we were able to find out the emerging industry trends : prevalence of bio industry, service industry, and B2C business. From the direct and co-occurrence analysis of newly discovered patent keywords in the year, 2000, 28 promising business item candidates were extracted. Finally, the promising item candidates were prioritized using 4 business attractiveness determinants; market size, product life cycle, degree of the technological innovation, and coincidence with the industry trends. This result implicates that reliable discovery and selection of promising technology-based business items can be performed by a quantitative, objective and low- cost process using knowledge discovery method from patent database instead of peer review.

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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 and Challenges of Using Welfare Technology in Elderly Care

  • Lee, Jin Ah
    • International Journal of Contents
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    • v.14 no.2
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    • pp.30-34
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    • 2018
  • There are several problems facing our society today that are caused by demographic changes, such as an increase in the ageing population. The rapid increase in the aging population leads to increases in medical costs and a higher demand for care services for the elderly. The needs and burdens associated with elderly care are growing, but the human resources and costs to meet these needs are limited. Welfare technology has been suggested as an effective way to solve the discrepancy between higher welfare needs and limited resources. This study aims to explore the current trends and challenges of using welfare technology related to elderly care through literature review. Practical ways to expand uses of welfare technology are also provided. In order to make effective and practical use of welfare technology, public awareness and education, the cooperation of related organizations, the expansion and utilization of Living Labs, and the development and adoption of welfare technology are required.

Face Recognition Technology Trends Through Patent Analysis (특허로 살펴본 얼굴인식 기술개발 동향)

  • Jeong, S.H.;Choi, B.C.
    • Electronics and Telecommunications Trends
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    • v.34 no.2
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    • pp.29-39
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    • 2019
  • The interest in facial recognition technology has been growing with the advancement of AI technology. With a confirmed accuracy of over 99%, the areas of application of the technology have expanded, including smartphone unlocking, online payment authorization, building access management, and criminal apprehension. This indicates that the technology has effectively transitioned from laboratory to field applications. This study performs patent analysis to determine recent innovations and diffusion trends in facial recognition technology. Specifically, R&D activities involving facial recognition technology are investigated at both the country level and company level. Significant patents are also considered. This study contributes to R&D management teams by proposing useful plans and strategies.

Systemic Analysis of Research Activities and Trends Related to Artificial Intelligence(A.I.) Technology Based on Latent Dirichlet Allocation (LDA) Model (Latent Dirichlet Allocation (LDA) 모델 기반의 인공지능(A.I.) 기술 관련 연구 활동 및 동향 분석)

  • Chung, Myoung Sug;Lee, Joo Yeoun
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.3
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    • pp.87-95
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    • 2018
  • Recently, with the technological development of artificial intelligence, related market is expanding rapidly. In the artificial intelligence technology field, which is still in the early stage but still expanding, it is important to reduce uncertainty about research direction and investment field. Therefore, this study examined technology trends using text mining and topic modeling among big data analysis methods and suggested trends of core technology and future growth potential. We hope that the results of this study will provide researchers with an understanding of artificial intelligence technology trends and new implications for future research directions.