• Title/Summary/Keyword: Bright ICT

Search Result 4, Processing Time 0.019 seconds

Identifying Research Issues for ICT-Enabled Bright Society Initiative: A Delphi Study of Korean Academics (Bright ICT 지향을 위한 경영정보학 연구 동향: 연구자 그룹을 통한 델파이 분석)

  • Hyunjeong Kang
    • Information Systems Review
    • /
    • v.18 no.4
    • /
    • pp.107-119
    • /
    • 2016
  • The arrival of the Smart Age has allowed the mature development of information and communication technology (ICT), which increasingly affects our societies and daily lives. Aligned with the contextual background, the Association of Information Systems, which comprised MIS professors, selected ICT-enabled Bright Society Initiative as a future agenda in December 2014. This study employs the Delphi method, which involves the three steps of brainstorming, clustering, and ranking, to deliver the main purposes of the research: finding the agenda items to examine the Bright ICT Initiative, ranking these items strategically, and discussing the subprograms. The research findings discover 11 major issues, and the importance of each issue is ranked by analyzing the survey. Furthermore, how the levels of the importance of each issue that affects individuals, corporations, and societies/nations differ according to age and gender is studied.

A Study on the Korea Future Internet Promotion Plan for Cyber Security Enhancement (사이버 보안 강화를 위한 한국형 미래 인터넷 추진 방안에 관한 연구)

  • Lim, Gyoo-Gun;Jin, Hai-Yan;Ahn, Jae-Ik
    • Informatization Policy
    • /
    • v.29 no.1
    • /
    • pp.24-37
    • /
    • 2022
  • Amid rapid changes in the ICT environment attributed to the 4th Industrial Revolution, the development of information & communication technology, and COVID-19, the existing internet developed without considering security, mobility, manageability, QoS, etc. As a result, the structure of the internet has become complicated, and problems such as security, stability, and reliability vulnerabilities continue to occur. In addition, there is a demand for a new concept of the internet that can provide stability and reliability resulting from digital transformation-geared advanced technologies such as artificial intelligence and IoT. Therefore, in order to suggest a way of implementing the Korean future internet that can strengthen cybersecurity, this study suggests the direction and strategy for promoting the future internet that is suitable for the Korean cyber environment through analyzing important key factors in the implementation of the future internet and evaluating the trend and suitability of domestic & foreign research related to future internet. The importance of key factors in the implementation of the future internet proceeds in the order of security, integrity, availability, stability, and confidentiality. Currently, future internet projects are being studied in various ways around the world. Among numerous projects, Bright Internet most adequately satisfies the key elements of future internet implementation and was evaluated as the most suitable technology for Korea's cyber environment. Technical issues as well as strategic and legal issues must be considered in order to promote the Bright Internet as the frontrunner Korean future internet. As for technical issues, it is necessary to adopt SAVA IPv6-NID in selecting the Bright Internet as the standard of Korean future internet and integrated data management at the data center level, and then establish a cooperative system between different countries. As for strategic issues, a secure management system and establishment of institution are needed. Lastly, in the case of legal issues, the requirement of GDPR, which includes compliance with domestic laws such as Korea's revised Data 3 Act, must be fulfilled.

A Study on Curriculum Guidelines for Computer Education based on the analysis of Status Quo in IT Advanced Countries (해외 주요국의 현황 분석에 기초한 우리나라 컴퓨터교육의 교육과정 방향)

  • Kim, Mi-Ryang
    • The Journal of Korean Association of Computer Education
    • /
    • v.8 no.3
    • /
    • pp.43-60
    • /
    • 2005
  • Teaching computer and ICT skills in K-12 helps to bridge the digital divide of the students at the minimum cost, and provides them with a chance of getting a Quality of life as well as a Quality of work in the future. From examining the education policies of U.S., EU, Canada, and other countries, concerning computer education, several factors, including vision and national-level policy, Quality of manpower, needs for computer-related technology, structure of IT industry, overall demand for IT specialists, have been identified as those with major impacts on the curriculum of computer education. Based upon the analysis of domestic key factors, three levels of computer education program are suggested. At the most basic and least controversial level, basic ICT-skill program for effective learning needs to be provided for every student. Next level is concerned with improving the Quality of life and work. A program for introductory level of computer science can be provided as extra-curricular classes for bright and eager students, who might want to be computer expert or specialists.

  • PDF

A Comparative Study on Artificial in Intelligence Model Performance between Image and Video Recognition in the Fire Detection Area (화재 탐지 영역의 이미지와 동영상 인식 사이 인공지능 모델 성능 비교 연구)

  • Jeong Rok Lee;Dae Woong Lee;Sae Hyun Jeong;Sang Jeong
    • Journal of the Society of Disaster Information
    • /
    • v.19 no.4
    • /
    • pp.968-975
    • /
    • 2023
  • Purpose: We would like to confirm that the false positive rate of flames/smoke is high when detecting fires. Propose a method and dataset to recognize and classify fire situations to reduce the false detection rate. Method: Using the video as learning data, the characteristics of the fire situation were extracted and applied to the classification model. For evaluation, the model performance of Yolov8 and Slowfast were compared and analyzed using the fire dataset conducted by the National Information Society Agency (NIA). Result: YOLO's detection performance varies sensitively depending on the influence of the background, and it was unable to properly detect fires even when the fire scale was too large or too small. Since SlowFast learns the time axis of the video, we confirmed that detects fire excellently even in situations where the shape of an atypical object cannot be clearly inferred because the surrounding area is blurry or bright. Conclusion: It was confirmed that the fire detection rate was more appropriate when using a video-based artificial intelligence detection model rather than using image data.