• Title/Summary/Keyword: Patent information analysis

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Technology Trend Analysis in the Automotive Semiconductor Industry using Topic Model and Patent Analysis (토픽모델 및 특허분석을 통한 차량용 반도체 기술 추세 분석)

  • Nam, Daekyeong;Choi, Gyunghyun
    • Journal of Korea Technology Innovation Society
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    • v.21 no.3
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    • pp.1155-1178
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    • 2018
  • Future automobiles are evolving into movable living spaces capable of eco-friendly autonomous driving. The role of electrically processing, controlling, and commanding various information in the vehicle is essential. It is expected that the automotive semiconductor will play a key role in the future automobile such as self-driving and eco-friendly automobile. In order to foster the automotive semiconductor industry, it is necessary to grasp technology trends and to acquire technology and quality that reflects the requirements in advance, thereby achieving technological innovation with industrial competitiveness. However, there is a lack of systematic analysis of technology trends to date. In this study, we analyzed the technology trends of automotive semiconductors using patent analysis and topic model, and confirmed technologies such as electric cars, driving assistance, and digital manufacturing. The technology trends showed that element technology and technical characteristics change according to technology convergence, market needs, and government regulations. Through this research, it is expected that it will help to make R&D policy for automotive semiconductor industry and to make decision for industrial technology strategy establishment. In addition, it is expected that it will be used effectively in detail research direction and patent strategy establishment by providing detailed classification of technology and trend analysis result of technology.

A study of Tendency Analysis to Research Using Clinical and Biological Information (체질임상정보 및 바이오정보를 활용한 연구동향분석에 대한 연구)

  • Kim, Chul;Song, Mi-Young;Eom, Dong-Myung
    • Journal of Korean Medical classics
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    • v.20 no.4
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    • pp.171-186
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    • 2007
  • The fusion research subjects of Oriental medicine and Bio-Technology are actively advanced. Development of information analysis algorithm for constitution diagnosis using clinical and biological information is started recently. In addition, the research for providing personal oriented treatment information with Diagnosis result is to in the process of advancing. This paper considers the inside and outside of the country technical development trend of research for using clinical and biological information by analyzing patents and papers. It executed information analysis about changes to number of research papers and patents, present state and star higher officer of research facility from the dissertation which it sees. It is known that our country research result is slight so far in quantity and quality as result of analysis. But hereafter it contains a many developmental possibility. Also it reflects the appearance and a growth of new field like bioinformatics from constitution and bio information application field. The combination of bio information similar to constitution and heredity and computing technology to control those information efficiently comes to think with core technique.

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Analysis on Patent Trends for Medical Clothing of Korea and USA (한국과 미국의 의료복 특허 동향 분석)

  • Park, Jung-Hyun;Lee, Jeong-Ran
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.4
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    • pp.488-500
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    • 2011
  • This study analyzes medical clothing trends and provides future directions for research. Based on 38 patents in Korea and 221 patents in the USA, the contents of patents were analyzed by year, subject, clothing type, and specific content. The results are as follows. The number of patent applications in Korea and the USA was found to be increasing. The distribution by subject was in the order of patient clothing, medical personnel clothing, and materials for medical clothing. Clothing of various types such as upper garment, bottoms, pajamas, gowns, and jump-suits were observed in patient clothing comparatively. However, gowns occupied a higher portion in medical personnel clothing. Patents in the USA related to patient clothing included patient clothing that provided examination convenience, monitoring patient clothing, patient clothing revising appearance, and patient clothing that assisted in movement. Korean patents related to patient clothing include functional patient clothing, patient clothing providing examination convenience, clothing for Alzheimer patients, and monitoring patient clothing. Many of the patents related to medical personnel clothing were about surgery gowns and mainly concerned with developments related to devices that allows putting on gowns while maintaining a sterile state and functionality to prevent liquid permeation. Regarding materials for medical clothing, there were many applications on breathability and liquid impermeable materials.

A Study On Technical Trend Analysis Related to Semantic Analysis of NLP Through Domestic/Foreign Patent Data (국내외 특허데이터 분석을 통한 자연어처리의 의미분석 관련 기술동향 분석에 대한 연구)

  • Hyun, Young-Geun;Han, Jeong-Hyeon;Chae, Uri;Lee, Gi-Hyun;Lee, Joo-Yeoun
    • Journal of Digital Convergence
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    • v.18 no.1
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    • pp.137-146
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    • 2020
  • NLP means the technology that mechanically analyzes a language spoken by a human and makes it into a form that can be understood by a computer. This is important because it is a core technology for communication between humans and devices, which is the basis of artificial intelligence. In this paper, I analyzed patent information of US and Korea in order to identify technical trends related to NLP, especially semantic analysis. and the purpose of this study is to provide meaningful information for future research on NLP. In conclusion, the number of Korea patents is 7.9% compared to the USA and the different frequencies of the major keywords were found to differ from country to country in technical direction. In addition, the upward or downward keywords are twice as many in the U.S. as in Korea, and reflect the trend of the times relatively more. Based on these results, in future study, I will analysis how upward trending keywords are described in actual patents for concrete technology prediction.

Patent and business model analysis of laser micro-machining system (레이저 미세가공 시스템의 특허 및 비즈니스 모델 분석)

  • Kwon, Young-Il;Son, Jong-Ku
    • Proceedings of the Korea Contents Association Conference
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    • 2018.05a
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    • pp.437-438
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    • 2018
  • 레이저 미세가공 시스템 관련 특허가 일본과 미국에서 1990년대 초반부터 출원이 증가하였으며, 2014년에 가장 많은 특허가 출원되었다. 이스라엘과 미국 국적의 출원인이 1, 2위를 차지하였으며, 전체 375건의 특허 중 상위 10위 출원인의 특허출원 비율이 약 26%로 분석되었다. 비즈니스 모델 분석에서는 비즈니스 모델의 강점을 강화하고 약점을 보완하는 비즈니스 모델 수행 전략을 도출하였다.

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Research on major technology trends in the field of financial security through Korea and foreign patent data analysis (국내외 특허 데이터 분석을 통한 금융보안 분야 주요 기술 동향 분석연구)

  • Chae, Ho-Kuen;Lee, Jooyeoun
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.53-63
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    • 2020
  • Electronic financial transactions are also actively increasing due to the rapid spread of information communication media such as the Internet, smart devices, and IoT, but as a derivative by-product, threats of financial security such as leakage of various personal information and hacking are also increasing. Therefore, the importance of financial security against this is increasing, but in Korea, financial security technology is relatively insufficient compared to advanced countries in the field of financial security, such as Active-X. Therefore, this study aims to present the major development direction in the domestic financial security field by comparing key technology trends with IPC classification frequency analysis, keyword frequency analysis, and keyword network analysis based on domestic and foreign financial security-related patent data. In conclusion, it seems that recent domestic and foreign trends have focused on the development of related technologies according to the development of smart device-based electronic financial services. Accordingly, it is intended to be used as the basis data for technology development of financial security by mapping the trend of financial security research trend and technology trend analysis through thesis data analysis that reflects the research of the preceding aspect as the technology of commercialization in the future.

Real-time information effect of patent listing disclosure (특허권 취득 공시와 한국유가증권시장의 실시간 정보효율성에 관한 연구)

  • Lee, Jong-Wook;Kim, Jong-Yoon
    • Management & Information Systems Review
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    • v.35 no.3
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    • pp.195-212
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    • 2016
  • Utilizing intra-day volume weighted average price (VWAP) based on 1 minute return data of stocks traded on the Korean Stock Exchange, this paper examines and analyzes abnormal returns in reaction to patent listing disclosures as well as the cumulative abnormal returns, traded volumes, the interaction of VWAP spreads, the reaction of volumes, the reaction of VWAP spreads and the realized returns obtained from trading using an event driven arbitrage strategy. The results of the aforementioned research topics are follows. First, our analysis suggests that on average, 0.92% positive cumulative returns arise 1 minute after the patent listing disclosure announcement with high statistical significance, thereby reconfirming that the Korean stock market is a semi-strong form of the efficient market. Employing 3 separate panel tests differentiated by the size factor, we find that the abnormal returns of small sized stocks were less than the returns of medium sized stocks, which goes to support recent research findings suggesting that the size premium is no longer existent in the Korean stock market. Secondly, we show that among the event driven type strategies, the most outstanding realized returns are from the market making strategies. Furthermore, placing market order trades only at the bid or ask price resulted in negative returns. This implies that strategies utilizing a combination of market orders and limit orders, order cancelations ratios and order flows can enhance realized returns.

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A System for Measuring the Similarity and Redundancy of R&D Project (R&D 과제의 유사도 및 중복도 측정 시스템에 관한 연구)

  • Choi, Kook-Hyun;Kang, Yong-Suk;Kim, Jong-Hee;Shin, Yong-Tae;Kim, Jong-Bae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.05a
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    • pp.329-331
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    • 2014
  • The analysis of the similarities and redundancies among R&D projects is important for the efficient investment of government budgets. When government R&D projects are planned, the redundancies of research tasks are examined by institutions specializing in research management, relevant offices and departments, and the government to prevent redundant funding. However, as existing similarity analyses depend on methods wherein new task proposals and existing R&D project proposals are compared and looked up based on keywords. This results in vulnerability wherein similarity cannot be accurately measured in the event of partial modifications of the task name or technical substitutions. This study aims to use patent information as characteristics by which R&D project documents can be identified. The patent data used is based on materials officially published by the government's R&D patent trend survey project (http://ipas.rndip.re.kr). The study aims to propose a method by which patent information can be used to analyze the similarity and redundancy among R&D projects when new projects are entered. For this purpose, a similarity measurement model based on set theory and probability theory is presented. The presented measurement model is implemented into an actual system to identify redundant documents, and calculate and show their similarity.

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Analyzing employment trends in response to AI exposure: K-shaped labor polarization in Korea (인공지능 노출 정도에 따른 고용 추세 분석: K자형 고용 양극화)

  • Lee, Yeseul;Hwang, Hyeonjun
    • Informatization Policy
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    • v.30 no.3
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    • pp.69-91
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    • 2023
  • The impact of technological advancements on employment is a matter of ongoing debate, with discussions on the effects of AI technology development on employment being particularly scarce. This study employs the natural language processing technique (SBERT) and patents to calculate an occupation-based AI exposure score and to analyze employment trends by group. It proposes a method for calculating the AI exposure score based on the similarity between Korean patent information and US job descriptions and linking SOC(U.S.) and KSCO(Korea). The analysis of domestic AI patent applications and regional employment data in the KOSIS Database since 2013 reveals a K-shaped polarization pattern in Korean employment trends among groups with above and below average levels of AI exposure.

Patent analysis and Creation of new core patents for ERP-based real-time data archiving (ERP 기반 실시간 데이터 아카이빙 기술에 관한 특허 분석 및 신규 핵심특허 창출에 관한 연구)

  • Gayun Kim;Sehun Jung;Jinhong Yang
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.17 no.2
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    • pp.99-107
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    • 2024
  • The recent digital transformation in many industries has led to an explosion of data, which has exponentially increased the amount of data that companies need to generate and process. As a result, enterprises are leveraging ERP systems to manage and analyze large amounts of data in real time. However, due to cost and time issues in processing large amounts of data in existing ERP systems, it is essential to apply data archiving technology that can compress and store data in real time in existing systems. Therefore, this paper aims to identify the trends of the target technology by utilizing patent data on ERP-based real-time data archiving technology, analyze the core patents, and create new core patents based on them.