• Title/Summary/Keyword: 빅데이터 특허

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Analysis of Big Data Visualization Technology Based on Patent Analysis (특허분석을 통한 빅 데이터의 시각화 기술 분석)

  • Rho, Seungmin;Choi, YongSoo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.7
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    • pp.149-154
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    • 2014
  • Modern data computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. The visualization has proven effective for not only presenting essential information in vast amounts of data but also driving complex analyses. Big-data analytics and discovery present new research opportunities to the computer graphics and visualization community. In this paper, we discuss the patent analysis of big data visualization technology development in major countries. Especially, we analyzed 160 patent applications and registered patents in four countries on November 2012. According to the result of analysis provided by this paper, the text clustering analysis and 2D visualization are important and urgent development is needed to be oriented. In particular, due to the increase of use of smart devices and social networks in domestic, the development of three-dimensional visualization for Big Data can be seen very urgent.

Forecasting Market trends of technologies using Bigdata (빅데이터를 이용한 기술 시장동향 예측)

  • Mi-Seon Choi;Yong-Hwack Cho;Jin-Hwa Kim
    • Journal of Industrial Convergence
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    • v.21 no.10
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    • pp.21-28
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    • 2023
  • As the need for the use of big data increases, various analysis activities using big data, including SNS data, are being carried out in individuals, companies, and countries. However, existing research on predicting technology market trends has been mainly conducted using expert-dependent or patent or literature research-based data, and objective technology prediction using big data is needed. Therefore, this study aims to present a model for predicting future technologies through decision tree analysis, visualization analysis, and percentage analysis with data from social network services (SNS). As a result of the study, percentage analysis was better able to predict positive techniques compared to other analysis results, and visualization analysis was better able to predict negative techniques compared to other analysis results. The decision tree analysis was also able to make meaningful predictions.

양자내성암호 특허동향

  • Min-Sung Kang
    • Review of KIISC
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    • v.33 no.3
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    • pp.97-101
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    • 2023
  • 양자컴퓨터의 개발이 가속화됨에 따라 기존의 공개키 암호에서 양자내성암호로 시급하게 전환해야 하는 상황이다. 이러한 상황을 가장 신속하게 대응하고 있는 미국은 NIST를 통해 양자내성암호로의 전환을 위한 표준화를 진행하고 있으며, 표준화 대상 알고리즘까지 선정한 상황이다. 그 외 일본, 중국, 및 유럽의 각국도 양자내성암호 기술을 확보하기 위해 많은 투자를 하고 있다. 본 고에서는 양자내성암호의 국적 및 세부기술별 특허출원 동향을 살펴보고, 나아가 양자내성암호의 구현특허 출원 동향도 함께 분석한다.

Analysis of the Trends of Construction Technology Development based on Big Data - Focused on Construction Patents in Relation to the 4th Industrial Revolution ICT Technologies - (빅데이터 기반의 건설기술 개발 트렌드 분석에 관한 연구 - 4차 산업혁명 ICT 기술 관련 건설특허를 중심으로 -)

  • Han, Jae Hoon;Kim, Han Soo
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.5
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    • pp.20-31
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    • 2017
  • As global interests in the 4th Industrial Revolution have recently increased, it becomes critical for the construction industry to pro-actively cope with it. For effective actions, the construction industry needs to make active use of 4th Industrial Revolution technologies based on the up-to-date understanding of the trends of construction technology development employing the 4th Industrial Revolution technologies. The objective of the study is to investigate and identify key trends of ICT construction technology development over the last ten years based on Big Data Analytics. The study identifies eleven key trends and discusses that ICT construction technology development has not been as active as expected and software technologies have been less developed compared to hardware technologies.

Data-Driven Technology Portfolio Analysis for Commercialization of Public R&D Outcomes: Case Study of Big Data and Artificial Intelligence Fields (공공연구성과 실용화를 위한 데이터 기반의 기술 포트폴리오 분석: 빅데이터 및 인공지능 분야를 중심으로)

  • Eunji Jeon;Chae Won Lee;Jea-Tek Ryu
    • The Journal of Bigdata
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    • v.6 no.2
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    • pp.71-84
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    • 2021
  • Since small and medium-sized enterprises fell short of the securement of technological competitiveness in the field of big data and artificial intelligence (AI) field-core technologies of the Fourth Industrial Revolution, it is important to strengthen the competitiveness of the overall industry through technology commercialization. In this study, we aimed to propose a priority related to technology transfer and commercialization for practical use of public research results. We utilized public research performance information, improving missing values of 6T classification by deep learning model with an ensemble method. Then, we conducted topic modeling to derive the converging fields of big data and AI. We classified the technology fields into four different segments in the technology portfolio based on technology activity and technology efficiency, estimating the potential of technology commercialization for those fields. We proposed a priority of technology commercialization for 10 detailed technology fields that require long-term investment. Through systematic analysis, active utilization of technology, and efficient technology transfer and commercialization can be promoted.

Global Technical Knowledge Flow Analysis in Intelligent Information Technology : Focusing on South Korea (지능정보기술 분야에서의 글로벌 기술 지식 경쟁력 분석 : 한국을 중심으로)

  • Kwak, Gihyun;Yoon, Jungsub
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.24-38
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    • 2021
  • This study aims to measure Korea's global competitiveness in intelligent information technology, which is the core technology of the 4th industrial revolution. For analysis, we collect patents of each field and prior patents cited by them, which are applied at the U.S. Patent Office (USPTO) between 2010 and 2018 from PATSTAT Online. A global knowledge transfer network was established by grouping citing- and cited-relationships at a national level. The in-degree centrality is used to evaluate technology acceptance, which indicates the process of absorbing existing technological knowledge to create new knowledge in each field. Second, to evaluate the impact of existing technological knowledge on the creation of new one, the out-degree centrality is investigated. Third, we apply the PageRank algorithm to qualitatively and quantitatively investigate the importance of the relationships between countries. As a result, it is confirmed through all the indicators that the AI sector is currently the least competitive.

The Analysis of Patent Trends and Radiation Convergence Technology (방사선 융합기술과 특허 동향 분석)

  • Park, Jang-Hoon;Ock, Young Seok
    • Journal of the Korean Society of Radiology
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    • v.13 no.5
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    • pp.785-790
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    • 2019
  • Convergence and advancement between technologies such as Artificial Intelligence, Big Data, and the Internet of Things have a significant impact on the regional flagship industry. All technical fields are used as a converged technology by connecting between technology and industry. In order to understanding the recent technical trend, it is possible to easily realized the technical trend research and analysis through keyword search using patent information. The purpose of this study is to identify patent trends applied to convergence technology in the 4th Industrial Revolution age in radiation technology development and to present patent trends and analysis for strengthening and utilizing radiation-related industrial technology competitiveness and to apply them to demand technology and forecast future promising technologies.

Analysis of Information Security Technology Development for ICT Convergence Services (ICT 융합서비스 제공을 위한 정보보호 기술개발 현황분석)

  • Kim, Dong-Chul
    • Convergence Security Journal
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    • v.15 no.4
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    • pp.27-33
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    • 2015
  • In this paper, the development level of information security technology for internet of things(Iot), big data and clo ud services is analyzed, and the detail policy is proposed to be leader in area of patents and ICT standard. The conc ept of ICT convergence is defined frist, market and current state of technology for three convergence services is the n analyzed, and finally main function and security target for each technology are presented. The evaluation criteria a nd IPR are analyzed to diagnose the level of patent and standard for the technology. From the results, even though the domestic competence is inferior compared to other advanced country, the efficient policy should be presented by using our capability for the big data and cloud. Furthermore, the technology development for the IoT and cloud is ne eded in advance considering the market-technology influence effects. In addition to, M2M security framework in IoT, data security in big data and reliable networking in cloud should be developed in advance.

A Study on the Analysis of Influx Factors in Urban Parks Using Data Mining - Focus on Yangjae Citizens' Forest Park - (데이터 마이닝을 활용한 도시공원 유입 요인 분석 연구 - 양재시민의 숲 공원을 대상으로 -)

  • Park Sang Hun
    • Journal of the Korean Regional Science Association
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    • v.39 no.3
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    • pp.35-48
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    • 2023
  • This study analyzed the inflow factors of Yangjae Citizen's Forest Park using social big data generated online. To this end, the applicability of the emotional information analysis method is to be confirmed as a method of analyzing the perception of the city park and confirming the difference in the characteristics and use of the park. The analysis is based on big data, and as the core of the study is keyword network analysis, the methodology of the 'emotional information analysis method' patented by the author was applied. As a result of the analysis, among the influx factors of Yangjae Citizens' Forest recognized by citizens, the most positive emotional factor was derived as a factor related to 'park contents', and the negative emotional factor was derived as a factor related to 'park management'. These research results suggest that more in-depth program development and operation are needed to discover 'park contents' when implementing urban park revitalization support projects in the future

Intelligent Web Crawler for Supporting Big Data Analysis Services (빅데이터 분석 서비스 지원을 위한 지능형 웹 크롤러)

  • Seo, Dongmin;Jung, Hanmin
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.575-584
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    • 2013
  • Data types used for big-data analysis are very widely, such as news, blog, SNS, papers, patents, sensed data, and etc. Particularly, the utilization of web documents offering reliable data in real time is increasing gradually. And web crawlers that collect web documents automatically have grown in importance because big-data is being used in many different fields and web data are growing exponentially every year. However, existing web crawlers can't collect whole web documents in a web site because existing web crawlers collect web documents with only URLs included in web documents collected in some web sites. Also, existing web crawlers can collect web documents collected by other web crawlers already because information about web documents collected in each web crawler isn't efficiently managed between web crawlers. Therefore, this paper proposed a distributed web crawler. To resolve the problems of existing web crawler, the proposed web crawler collects web documents by RSS of each web site and Google search API. And the web crawler provides fast crawling performance by a client-server model based on RMI and NIO that minimize network traffic. Furthermore, the web crawler extracts core content from a web document by a keyword similarity comparison on tags included in a web documents. Finally, to verify the superiority of our web crawler, we compare our web crawler with existing web crawlers in various experiments.