• Title/Summary/Keyword: Index of Patent

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Analysis on the recent trends of acupuncture related patents (침과 관련된 특허의 최근 동향 분석)

  • Hwang, Hye-Suk;Han, Kyung-Ju;Kim, Yu-Sung;Lee, Ji-Eun;Jeong, Sang-Yong;Ryu, Yeon-He;Choi, Sun-Mi;Koo, Sung-Tae
    • Korean Journal of Oriental Medicine
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    • v.13 no.1 s.19
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    • pp.101-107
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    • 2007
  • Aims: We have examined and analyzed trends of acupuncture related patents to understand the status of acupuncture technology and research trends of acupuncture in major countries including Korea, the United States, European Union and Japan. Methods: To analyze the patents, we searched and analyzed the total of 1,048 on-line DB based patents under time limit of July, 2006. Results: According to the search results, Korea is mostly superior compared to the others in number of domestic patents. However, Korea patents is inferior in number of international patents and leave much to be desired in industrial applications because of low patents barrier of personal patents and the absence of prospective clients. In addition, in this study, we show an index of international competitiveness and preliminary data of necessity of international cooperation in a field of acupuncture researches. Conclusion: These data suggest that Korea has strong possibility to recover competitiveness for guaranteeing valuable patents, if there are international cooperation and intensive managements of industries in advanced country markets.

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Technology Convergence Map Creation and Country Profile Analysis in the Field of Artificial Intelligence (인공지능 분야의 기술융합맵 생성 및 국가 프로파일 분석)

  • Kim, Hyun-Woo;Noh, Kyung-Ran;Ahn, Sejung;Kwon, Oh-Jin
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.1
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    • pp.139-146
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    • 2017
  • The interest about Artificial Intelligence through the AlphaGo Match in Korea has been increasing rapidly. So far, very little has been done in Artificial Intelligence. The aim of this paper is to reveal technology convergence and to assess the country profile in the field of artificial intelligence(AI). Technology convergence map was created after extracting USPTO patent grants and Web of Science data and generating matrics in the field of AI. Several Indicators were obtained by extracting and calculating SCOPUS Data that KISTI has. According to USPTO patent grants, it shows that AI technology has a strong relationship with several sectors such as cost/price determination, image analysis, and surgery, etc. Also, AI has a active convergence with some fields of Electrical and Electronic Engineering, BioTechnologies, and Medicine etc. According to country profile analysis, Korea reaches a global average growth index. However, in terms of specialization index (SI) and average of relative citations (ARC), there is a large gap between Korea and research leading countries.

A Study on Trend of Technology Development for Super-Speed Maglev (초고속 자기부상철도 기술개발 동향조사 및 분석)

  • Lee, Jin-Ho;Han, Young-Jae;Jo, Jeong-Min;Lee, Chang-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.6
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    • pp.2631-2638
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    • 2013
  • In this study, to understand the technology development trend of super-speed maglev, the patents applied by major countries are analyzed. And based on the analyzed results, the domestic technology development direction are suggested. For patent analysis, the major technologies for super-speed maglev are classified into 14 parts. Then, through the quantitative analysis method such as number, increase rate and share rate, the overview of technology development and focused parts by each country are investigated. Also through the qualitative analysis method such as concentration degree, citation index and market share index, the technology level and market securing ability of each country are anticipated. Considering the analyzed results and technology development trend, the domestic technology development direction such as priority development fields and methods are proposed.

Research Trend of OCA (Optically Clear additive) for Display Panel by Analysis of Patent and Papers Publication (특허 및 논문 분석을 통한 디스플레이용 접착제의 기술경쟁력 분석)

  • Woo, Chang Hwa
    • Journal of the Semiconductor & Display Technology
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    • v.17 no.3
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    • pp.75-84
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    • 2018
  • According to IHS, the overall display market is expected to grow at an average annual rate of 6% from $ 104 billion in 2016, to $ 138 billion in 2021. Among them, the OLED display panel will grow from $ 15 billion to $ 41 billion over the same period, forecasting a high annual growth rate of 22%. However, the refraction index, light leakage, bubble generation, adhesion deterioration, peeling phenomenon, moisture resistance, light transmittance, low turbidity. OCA (optically clear adhesive), which solves problems such as improving the resistance of the conductive film, is largely dependent on imported products. In addition, in 2016, the world market is worth KRW4.3 trillion, and the adhesive market has a large market effect. In this study, we tried to analyze the technical competitiveness of patent and thesis by classifying OCA (optically clear adhesive, optical adhesive) for display panel by curing method. As a result of the study, the amount of patents and papers in Korea was found to be superior to other competitors, but the quality level was low. In particular, it was found that the achievements of the papers in the hot melt field are lacking and the government should expand its support.

A Resource Discovery with Data Dissemination over Unstructured Mobile P2P Networks

  • Bok, Kyoung-Soo;Kwak, Dong-Won;Yoo, Jae-Soo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.3
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    • pp.815-834
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    • 2012
  • Recently, along with the innovative development of wireless communication techniques and mobile devices, mobile P2P services in mobile wireless networks have gained a lot of attention. In this paper, we propose a resource discovery scheme with data dissemination over mobile P2P networks. In the proposed scheme, each peer manages a local information table, a resource index table, and a routing table in a local database to enhance the accuracy and cost of resource discovery. The local information table stores the status of a mobile peer, and the resource index table stores the resource information of the neighbor peers via the ranking function. The routing table is used to communicate with the neighbor peers. We use a timestamp message to determine whether or not the resource index table will be changed before the resource information is exchanged. Our ranking function considers the interest and mobility of the mobile peer and prioritizes the resource information transmitted from the neighbor peers. It is shown via various experiments that the proposed scheme outperforms the existing scheme.

A Study on Test Technology Analysis for Railway System (철도분야 시험기술 분석에 관한 연구)

  • Han, Young-Jae;Park, Chan-Kyoung;Hwang, Jong-Gyu;Kim, Young-Guk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.12
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    • pp.722-728
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    • 2017
  • As the demand for high-speed railway, light railway, and metropolitan railway is increasing, the demand for safe and comfortable railways is increasing. The evaluation technology for a railway system manufactured according to this trend is becoming more important. This study examined the domestic and foreign technology trends through patent analysis of the railway test technology. To accomplish this, the patents filed in Korea, Europe, and the United States since 1990 were analyzed using Thomson Innovation DB. First, the technology was classified as a component test, combined test, and on-line test. Through patent analysis, the technology trends in the railway test technology and how the technological progress has been made from the past to the present were reviewed. In addition, through an analysis of the country and main applicant, this study examined the countries and applicants that are actively developing technologies. In addition, the countries that have secured technology related to the test technology were studied through an analysis of the market security index and the influence index. Through this analysis, this study analyzed the trend of the test technology in the railway area.

The Spatial Analysis of Knowledge Production Activities Based on Korean Patent Data (특허 데이터에 기초한 지식창출활동의 공간분석)

  • Lee, Hee-Yeon;Kim, Hong-Joo
    • Journal of the Economic Geographical Society of Korea
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    • v.9 no.3
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    • pp.318-340
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    • 2006
  • In the last decade, there has been a widespread interest in knowledge production activities as a new engine of endogeneous growth. In the knowledge-based economy, there has been a growing importance of the patent as the index of knowledge production. Much literature suggests that knowledge production activities tend to be spatially concentrated and formed the clusters in the advanced economies. The purpose of this paper is to analyze spatial-temporal patterns of knowledge production activities in Korea based on a data set of patents from 1981-2000. This paper uses spatial statistical methods and GIS to explore the spatial dimensions of knowledge production activities in Korea. Through this research, it was found that knowledge production activities were unevenly distributed. The knowledge production activity measured by patent counts is highly concentrated in a limited number of cities. The top 10 cities accounted for 68.5% of the total number of patents in the period of 1981-2000, suggesting the existence of a strong concentration of knowledge production activities in Korea. The locations of knowledge production activities by themselves represented a strong spatial autocorrelation. The concentration of knowledge production activities in Korea is spatially correlated to the concentration of adjacent neighboring cities. The location of knowledge production activities is not free from a spatial context and spillover of knowledge production activities are heavily bounded within geographic limits, forming a spatial cluster. There appear some quite a large spatial cluster around the seoul metropolitan area.

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Development of an Automatic Design Program for the Aspherical Lens by using the Ray Tracing Method (광선추적방식을 적용한 비구면렌즈 자동설계 프로그램 개발)

  • Kim S.Y.;Kim T.H.;Jang S.G.;Park J.W.;Jeon E.C.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.494-498
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    • 2005
  • In order to design the aspherical lens, the revisions and the steps of the mathematical method are influenced with a lot of variables. The accuracy of the aspherical lens can be changed by these variables. Besides, to design the aspherical lens, many mathematical functions should be used. To use these mathematical functions is protected by patent administration. Therefore it is very difficult for most of developed countries to use them. This fact has been interrupting not only the development of the technique of a design of the aspherical lens but also the development of the equipments of optics. Because approximate values are used in most of common programs which create the aspherical lens : basically these common programs have variations. Therefore these aspherical lens are not accurate. In the paper, we calculated accurate values by using the refractive index of lens. Based on these data, wee created self-operating design programs. Consequently, our lens is more accurate than the aspherical lens which is created by the common programs influenced with approximate values. The used programs belonging to AutoCAD is Visual LISP.

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A Study on Growth of Pulmonary Artery after Modified Blalock-Taussig Shunt in Tetralogy of Fallot (Fallot 4 징증에서 변형 Blalock Taussig 수술후 폐동맥성장에 관한 연구)

  • Yang, Tae-Bong;O, Bong-Seok;Lee, Dong-Jun
    • Journal of Chest Surgery
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    • v.21 no.1
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    • pp.10-16
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    • 1988
  • Ten patients with tetralogy of Fallot were studied angiocardiographically before a modified Blalock-Taussig shunt and again 25*3.2 months after the previous shunt. All of ten patients had patent previous shunt at the time of follow up examination. Pre-and postoperative diameters of left and right pulmonary artery and descending aorta were measured and pulmonary artery index [the sum of the crossectional areas of the right and left pulmonary arteries standardized by the body surface area] was calculated. The ratio of mean diameter of left and right pulmonary arteries to the diameter of the descending aorta [LPA+RPA/2xDA] was increased postoperatively by 0.20*0.068 [p=0.020]. Mean PAI [pulmonary artery index] increased from 283.8*178.4 mm/m2 BSA to 345.8~144.5 mm/m2 BSA after shunt operation [p=0.019]. This results suggested that the modified Blalock-Taussig shunt was effective to help growth of the pulmonary arteries in most cases of the study populations but the ones with the PAI>233mm*/m* BSA appeared less benefited by Blalock Taussig shunt. Calculation of PAI could be an aid to making a decision whether to perform a one stage corrective surgical procedure or a palliative shunt procedure in the patient with small pulmonary arteries.

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Analysis of Massive Scholarly Keywords using Inverted-Index based Bottom-up Clustering (역인덱스 기반 상향식 군집화 기법을 이용한 대규모 학술 핵심어 분석)

  • Oh, Heung-Seon;Jung, Yuchul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.758-764
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    • 2018
  • Digital documents such as patents, scholarly papers and research reports have author keywords which summarize the topics of documents. Different documents are likely to describe the same topic if they share the same keywords. Document clustering aims at clustering documents to similar topics with an unsupervised learning method. However, it is difficult to apply to a large amount of documents event though the document clustering is utilized to in various data analysis due to computational complexity. In this case, we can cluster and connect massive documents using keywords efficiently. Existing bottom-up hierarchical clustering requires huge computation and time complexity for clustering a large number of keywords. This paper proposes an inverted index based bottom-up clustering for keywords and analyzes the results of clustering with massive keywords extracted from scholarly papers and research reports.