• 제목/요약/키워드: Technology Trends Information

검색결과 1,451건 처리시간 0.032초

Information Literacy in Indian Schools: Trends and Developments

  • Hanchinal, Veeresh B.;Hanchinal, Vidya V.
    • International Journal of Knowledge Content Development & Technology
    • /
    • 제8권4호
    • /
    • pp.7-18
    • /
    • 2018
  • Information Literacy (IL) is considered as an important aspect of everybody's life. In today's information society possessing IL skills is more significant than ever as information is available in many forms and formats. Schools are the primary places where these skills are imbibed in students. Organizations like UNESCO, IFLA, ALA, AASL, & ACRL have formulated IL Standards and Guidelines/Models at the international arena. Though the Government of India is making efforts in providing information literacy skills yet there are no set of standards/guidelines devised by any agency/organization at the school level. This paper gives a brief account of IL initiatives and highlights the trends and developments of IL programmes in Indian School Libraries. It recommends the nation to form a national level advisory committee to develop IL framework for Indian school Libraries. Further, it suggests that librarians should work in close collaboration with teachers for better results. A moderate attempt has been made to provide feasible solutions for effective implementation of IL programmes in school libraries.

A Survey on Image Emotion Recognition

  • Zhao, Guangzhe;Yang, Hanting;Tu, Bing;Zhang, Lei
    • Journal of Information Processing Systems
    • /
    • 제17권6호
    • /
    • pp.1138-1156
    • /
    • 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.

조선해양산업과 정보통신기술 융합 동향에 따른 표준화 현황 (Standardization Status in Maritime Industry Domain and ICT Convergence Trends)

  • 김재명;임동선;김도현
    • 전자통신동향분석
    • /
    • 제35권3호
    • /
    • pp.85-97
    • /
    • 2020
  • In the maritime industry, the convergence of information and communication technology (ICT) occurs in two areas. The first one is the convergence of e-navigation technology to apply ICT to the maritime domain. This was led by EU's initiative and is also being promoted in our country. The other one is the convergence of autonomous ship technology to apply various ICT technologies for commercial purposes. This initiative is being led by maritime industries. In this paper, we describe trends of e-navigation and maritime autonomous surface ship technology convergence. Subsequently, we explain the standardization status of performance and technical standard bodies, international standardization organizations, and related standard-developing organizations to provide the interoperability of these technologies. Finally, we examine ongoing projects in Korea and suggest future directions for their R&D and standardization.

스마트농업 기술 및 표준화 동향 (Technology and Standardization Trends on Smart Agriculture)

  • 민재홍;박주영
    • 전자통신동향분석
    • /
    • 제33권2호
    • /
    • pp.77-85
    • /
    • 2018
  • At present, agriculture in Korea is experiencing difficulties, such as a stagnation in farm income, an increase in imported agricultural products, a decrease in arable land, a decrease in the self-sufficiency rate of grain, a decrease in rural population, and aging. To solve these problems and vitalize the rural economy, our government is promoting its 6th industrialization policy, which links agriculture with primary industry, secondary, industry and tertiary industry, and as well as smart agriculture based on information and communication technology. Smart agriculture is an agriculture form used to improve the quality of life in rural areas through making greater efficiency and intelligence by applying ICT convergence technology to the whole entire process of agricultural production, distribution, and consumption in the areas of outdoor agriculture, facility horticulture, and livestock. Therefore, in this paper, we analyze the policy, technology, and standardization trends of domestic and foreign smart agriculture, and suggest ways to apply them to domestic smart agriculture during the in the introduction stage.

테크놀로지 이미지적 헤어스타일에 관한 연구 (A Study on Hair Styles Featuring Technological Images)

  • 오문균;임영자
    • 한국패션뷰티학회지
    • /
    • 제2권1호
    • /
    • pp.34-45
    • /
    • 2004
  • Hair styles which independently coexist by transcending the time and space under the environment of highly developed information and communication technology of recent years, were analyzed. Moreover the concerned trends of art which influenced on these styles were introduced in this study. Through IT based information exchange produced new hair styles which have the technological images. The characteristics of these hair styles are investigated also. For the examination of yearly trends, hair styles in fashion collections of Yves Saint Larent during 1962 to 1999 were examined and classified. The results show that time variated trends are appeared in this period. For the analysis of the trends of hair styles featuring technological images, hair styles in fashion collection of Christian Dior, Giorgio Armani, Gucci, Jean Paul Gaultier and Chanel in the early 2000s are quoted.

  • PDF

지능형 재활 서비스 기술 동향 (Technical Trends in Intelligent Rehabilitation Services)

  • 전부선;김재철
    • 전자통신동향분석
    • /
    • 제38권3호
    • /
    • pp.47-56
    • /
    • 2023
  • Physical rehabilitation consists of exercises that help individuals who have suffered injury, disease, or nervous system disorders to recover lost or impaired functions. The exercises need to be tailored to the degree and type of the patient's condition. To this end, a comprehensive rehabilitation data delivery system that connects medical institutions and local communities should be established, and an intelligent rehabilitation service technology should be developed. An intelligent rehabilitation service integrates and manages the patient's health information provided by medical institutions and the overall function evaluation information measured in the community. Based on the collected data, personalized rehabilitation services can be provided. We examine supportive policies and technological trends for rehabilitation exercise and sports. Additionally, we investigate development trends and key technologies of intelligent rehabilitation services being developed at ETRI.

유비쿼터스 디바이스 기술동향과 연구실태에 관한 조사 (A Study on Technology Trends and Researches for Ubiquitous Devices)

  • 진태석
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국해양정보통신학회 2008년도 추계종합학술대회 B
    • /
    • pp.836-841
    • /
    • 2008
  • 21세기를 들어서면서 본격적으로 차세대 IT패러다임으로 등장한 유비쿼터스(Ubiquitous) 분야는 정보기술의 패러다임이 PC와 인터넷 중심에서 유비쿼터스로 이동하면서 미래 유비쿼터스 시장을 선점하기 위한 세계 주요국가와 IT기업들이 치열한 전쟁터로 인식되고 있다. 본 연구에서는 유비쿼터스 디바이스에 관련된 국내외 기술 및 연구동향을 알아보고, 유비 쿼터스 사회의 진화에 따른 미래효과와 그에 따른 연구방향 등을 살펴보도록 한다.

  • PDF

빅 데이터 기술 동향 및 분석 (Big Data Technology Trends and Analysis)

  • 신화용;박경수;문일영
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2013년도 추계학술대회
    • /
    • pp.953-954
    • /
    • 2013
  • 스마트 폰, 태블릿 PC 등의 사용자가 급속히 증가함에 따라 데이터의 양이 많아지고 그 유형도 다양해지고 있다. 이런 방대한 양의 데이터를 모아 활용하여 새로운 가치를 만드는 빅 데이터 분야가 급부상 하고 있다. 형식이 다양한 빅 데이터는 기존의 데이터 분석 방식으로는 분석이 어려운 비정형 데이터이다. 최근에는 이러한 빅 데이터와 관련된 분석 기술과 마케팅, 상품기획 등에 이용하려는 움직임이 급증하고 있다. 이에 본 논문에서는 빅 데이터의 국 내외 동향을 분석하고자 한다.

  • PDF

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

  • 김현경;이정훈;강선구
    • Journal of Information Technology Applications and Management
    • /
    • 제31권1호
    • /
    • pp.139-161
    • /
    • 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.