• Title/Summary/Keyword: big data ecosystem

Search Result 93, Processing Time 0.029 seconds

Application and Utilization of Environmental DNA Technology for Biodiversity in Water Ecosystems (수생태계 생물다양성 연구를 위한 환경유전자(environmental DNA) 기술의 적용과 활용)

  • Kwak, Ihn-Sil;Park, Young-Seuk;Chang, Kwang-Hyeon
    • Korean Journal of Ecology and Environment
    • /
    • v.54 no.3
    • /
    • pp.151-155
    • /
    • 2021
  • The application of environmental DNA in the domestic ecosystem is also accelerating, but the processing and analysis of the produced data is limited, and doubts are raised about the reliability of the analyzed and produced biological taxa identification data, and the sample medium (target sample, water, air, sediment, Gastric contents, feces, etc.) and quantification and improvement of analysis methods are also needed. Therefore, in order to secure the reliability and accuracy of biodiversity research using the environmental DNA of the domestic ecosystem, it is a process of actively using the database accumulated through ecological taxonomy and undergoing verification procedures, and experts verifying the resolution of the data increased by gene sequence analysis. This is absolutely necessary. Environmental DNA research cannot be solved only by applying molecular biology technology, and interdisciplinary research cooperation such as ecology-taxa identification-genetics-informatics is important to secure the reliability of the produced data, and researchers dealing with various media can approach it together. It is an area in desperate need of an information sharing platform that can do this, and the speed of development will proceed rapidly, and the accumulated data is expected to grow as big data within a few years.

The Upbringing Plan of R&D Special Enterprise in Mobile Convergence (모바일 융합 R&D전문기업 육성방안)

  • Kim, Ki-Bong;Kim, Geun-Chae;Choi, Sae-Bom
    • Journal of Digital Convergence
    • /
    • v.12 no.4
    • /
    • pp.85-92
    • /
    • 2014
  • In recent years, the government has pushed ahead with the convergence and innovation of science technology and information technology in order to realize the creative economy. So, a creative economy ecosystem has been set up to realize the creative economy for small businesses growth and small business happiness. According to proliferation of mobile area taking the lead in the recent IT transition, development of various convergence technologies related to mobile such as mobile Apps, SNS, and big data have been promoted. For realizing government's creative economy, systematic raising plan to create newly value-added market and occupation being considered with developing technology for mobile convergence based on imagination and creativity of small businesses is proposed in this paper.

The Health Analysis of Protected Tree 'Zelkova serrata' Using an Ultrasonic Tomograph (느티나무 보호수의 내부 단층 진단을 통한 건강 분석)

  • Kang, Banghun;Cho, Seung-Jin;Son, Jinkwan;Kim, Nam-Choon;Kim, Mi-Heui
    • Journal of the Korean Society of Environmental Restoration Technology
    • /
    • v.17 no.2
    • /
    • pp.73-83
    • /
    • 2014
  • This study was conducted to evaluate defects in Zelkova serrata trees using an ultrasonic tomograph (PICUS) and suggest a management plan to maintain it as a natural and cultural resource. In previous study, health information of 16 protected trees were obtained by surveying the following categories; tree appearance, crown, bark, root exposure, water and nutrition, deterioration, pest, vitality, ground status, and pollutant. The average score of health was 16.5 in 16 trees, which means that general monitor is needed for management. In this study, the evaluation result of tree's inside defects using an ultrasonic tomograph showed that 43.8% of decay rate has been found in 16 trees. In fact, some trees look to be good even though they actually have a defects causing broken by natural disaster such as strong wind. Therefore, it is urgent to put some support to the trees and come up with a protective plan. The results of this study would be useful as basic data in developing a guideline for the efficient conservation and management of big and old trees.

Media and AI Technology: Media Intelligence (미디어와 AI 기술: 미디어 지능화)

  • Cho, Y.S.;Lee, N.K.;Choi, D.J.;Seo, J.I.;Lee, T.J.;Park, J.K.;Lee, H.W.;Kim, H.M.
    • Electronics and Telecommunications Trends
    • /
    • v.35 no.5
    • /
    • pp.92-101
    • /
    • 2020
  • Artificial intelligence (AI) has become the hottest topic in information and communications technology (ICT) in recent years. Along with the advancement of AI technology, technologies such as big data, cloud, and high-speed wired and wireless communication are being applied to existing media areas in earnest, affecting all parts of the media value chain from content production to consumption. AI technology is now spreading across the media industry faster than any other industry. In the future, the gap between those with and without AI technology will widen, further deepening the polarization of the media ecosystem. Media intelligence, which combines media and AI technologies, is now perceived as essential, not optional. In this paper, we examine the current status of technology development and standardization by major domestic and foreign institutions on how AI is being utilized in the media industry. In addition, we discuss what technology should be developed to lead media intelligence.

Digital Healthcare and Main Issues (디지털 헬스케어와 주요이슈)

  • Woo, SungHee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2016.05a
    • /
    • pp.560-563
    • /
    • 2016
  • The changes in the medical and healthcare are started from the digital technology. The new field of digital healthcare has started fused with existing healthcare, medical technology, and digital technology. It can increase the service effect and reduce healthcare costs by applying ICT skills such as ICBM(Internet of Things, Cloud, Big data and Mobile), artificial intelligence, robotics, virtual, augmented reality, and wearable devices to healthcare services including healthcare, disease management. Recently there has been grafted an artificial intelligence technologies such as AlphaGo of Google and Watson of IBM onto the healthcare area. In this study, we analyze the main technology, ecosystem, platforms for digital healthcare, and lastly future changes in health care services and issues of digital healthcare.

  • PDF

The status of metaverse and digital twin technology development

  • CHUNG, Myung-Ae;KIM, Kyung-A;KANG, Min-Soo
    • Korean Journal of Artificial Intelligence
    • /
    • v.10 no.2
    • /
    • pp.19-24
    • /
    • 2022
  • Metaverse refers to a world that transcends reality. Metaverse is a compound word of meta (transcendence) and universe (universe). The impact of the corona pandemic has provided an opportunity to rapidly grow the metaverse based on realistic content along with online and non-face-to-face environments. Various content and service platforms reflecting the concepts of metaverse and digital twin are rapidly spreading around the world in line with the pandemic situation. As their needs accelerate in response to the COVID-19 situation, the technology of metaverse and digital twin is attracting attention again as an indispensable condition for business, culture and art, national industry, and public services. In particular, the metaverse requires the balanced development of ecosystem components based on various advanced convergence technologies. In this paper, the concept of metaverse and digital twin, types of platforms, and development status are examined, and trends of key element technologies are investigated and analyzed. As these key element technologies, XR sensory technology, avatar technology, and other XR devices and parts were examined. Through this, we want to clearly pinpoint the direction in which the metaverse will develop through future technologies, services, and follow-up research.

The Innovative Medical Devices Using Big Data and Artificial Intelligence: Focusing on the cases of Korea, the United States, and Europe (빅데이터 및 인공지능을 이용한 혁신의료기기 발전 방향: 한국, 미국, 유럽의 사례중심)

  • Yun Hee Song;Gyu Ha Ryu
    • Journal of Biomedical Engineering Research
    • /
    • v.44 no.4
    • /
    • pp.264-274
    • /
    • 2023
  • Purpose: The objective is to extract insights that can contribute to the formulation of harmonized international policies and support measures for innovative medical devices and management systems. This study aims to propose effective strategies for future medical device innovation and healthcare delivery. Results: It investigates technological advancements, regulatory approval systems, insurance policies, and successful commercialization cases in South Korea, the United States, and the European Union. In 2018, the FDA implemented insurance coverage for Software as a Medical Device (SaMD) and recognized insurance coverage for Digital Therapeutics (DTx). Germany is a country that ensures permanent reimbursement for healthcare applications since 2020, making it the first country to provide legal health insurance coverage for fostering a digital ecosystem. Conclusion: The findings of this research highlight the importance of cultivating a supportive regulatory and environmental framework to facilitate the adoption of innovative medical devices. Continuous support for research and development (R&D) efforts by companies, along with the validation of clinical effectiveness, is crucial.

A Study on the Intelligence Information System's Research Identity Using the Keywords Profiling and Co-word Analysis (주제어 프로파일링 및 동시출현분석을 통한 지능정보시스템 연구의 정체성에 관한 연구)

  • Yoon, Seong Jeong;Kim, Min Yong
    • Journal of Intelligence and Information Systems
    • /
    • v.22 no.4
    • /
    • pp.139-155
    • /
    • 2016
  • The purpose of this study is to find the research identity of the Korea Intelligent Information Systems Society through the profiling methods and co-word analysis in the most recent three-year('2014~'2016) study to collect keyword. In order to understand the research identity for intelligence information system, we need that the relative position of the study will be to compare identity by collecting keyword and research methodology of The korea Society of Management Information Systems and Korea Association of Information Systems, as well as Korea Intelligent Information Systems Society for the similar. Also, Korea Intelligent Information Systems Society is focusing on the four research areas such as artificial intelligence/data mining, Intelligent Internet, knowledge management and optimization techniques. So, we analyze research trends with a representative journals for the focusing on the four research areas. A journal of the data-related will be investigated with the keyword and research methodology in Korean Society for Big Data Service and the Korean Journal of Big Data. Through this research, we will find to research trends with research keyword in recent years and compare against the study methodology and analysis tools. Finally, it is possible to know the position and orientation of the current research trends in Korea Intelligent Information Systems Society. As a result, this study revealed a study area that Korea Intelligent Information Systems Society only be pursued through a unique reveal its legitimacy and identity. So, this research can suggest future research areas to intelligent information systems specifically. Furthermore, we will predict convergence possibility of the similar research areas and Korea Intelligent Information Systems Society in overall ecosystem perspectives.

A Study on Tourism Behavior in the New normal Era Using Big Data (빅데이터를 활용한 뉴노멀(New normal)시대의 관광행태 변화에 관한 연구)

  • Kyoung-mi Yoo;Jong-cheon Kang;Youn-hee Choi
    • The Journal of the Convergence on Culture Technology
    • /
    • v.9 no.3
    • /
    • pp.167-181
    • /
    • 2023
  • This study utilized TEXTOM, a social network analysis program to analyze changes in current tourism behavior after travel restrictions were eased after the outbreak of COVID-19. Data on the keywords 'domestic travel' and 'overseas travel' were collected from blogs, cafes, and news provided by Naver, Google, and Daum. The collection period was set from April to December 2022 when social distancing was lifted, and 2019 and 2020 were each set as one year and compared and analyzed with 2022. A total of 80 key words were extracted through text mining and centrality analysis was performed using NetDraw. Finally, through the CONCOR, the correlated keywords were clustered into 4. As a result of the study, tourism behavior in 2022 shows tourism recovery before the outbreak of COVID-19, segmentation of travel based on each person's preferred theme, prioritization of each country's corona mitigation policy, and then selecting a tourist destination. It is expected to provide basic data for the development of tourism marketing strategies and tourism products for the newly emerging tourism ecosystem after COVID-19.

The Influence of YouTube Recommendation Service on Reliability, Involvement and Subscription Intention: focused on the mediating effect of Reliability (유튜브 추천서비스가 신뢰와 몰입 및 구독의도에 미치는 영향 -신뢰의 매개효과를 중심으로-)

  • Eun, Chang-Ik
    • The Journal of the Convergence on Culture Technology
    • /
    • v.8 no.3
    • /
    • pp.113-128
    • /
    • 2022
  • The objective of this study is to pay attention to the personal media environment that is in the center of rapid changes in the media industry, to especially explore the activity area of one-person or minority media creators who lead the mobile media environment that could be connected, watched, and produced anywhere, and to closely examine the mutual ecosystem between creators and viewers. Especially, paying attention to the recommendation service YouTube provides, for example, based on the big data algorithm related to users' habitual use, when users' data used are provided more, the users face the advanced service, this study aimed to examine the effects of recommendation service on the formation of trust between user and producer, user flow, and subscription intention, and also to demonstrate the process of forming this mutual relation through concrete data. In the conclusion, implications that can be inferred based on the research results and suggestions for further research in the future were presented.