• Title/Summary/Keyword: Patent Matrix

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Forecasting Vacant Technology of Patent Analysis System using Self Organizing Map and Matrix Analysis (자기조직화 지도와 매트릭스분석을 이용한 특허분석시스템의 공백기술 예측)

  • Jun, Sung-Hae;Park, Sang-Sung;Shin, Young-Geun;Jang, Dong-Sik;Chung, Ho-Seok
    • The Journal of the Korea Contents Association
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    • v.10 no.2
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    • pp.462-480
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    • 2010
  • Patent analysis is the extracting knowledge which is needed for the company's research and development strategy through accumulated worldwide patent database. In order to set the future direction of corresponding technology which is scheduled to be developed, the technology trends and deployment processes are identified by analyzing results of present patent applications. The patent analysis provides the required results for analyzing present patent applications. In this paper, we will carry out technology classification for related patent analysis methods and systems. Moreover we will investigate and analyze related domestic patents, U.S. patents and IEEE papers. Due to the characteristics of technology sector, not only patents are applied but also research papers are released actively about patent analysis system. We will analyze patents according to the technology classification by using the final searching results which come from the selected search words in this study. To find necessary niche technology which is needed for patent analysis system, matrix analysis was performed to all of valid patents and papers. Identifying the technology development trends of registered patent analysis systems, and presenting the future direction of technology development which is related to patent analysis system. To figure out the technology which is developed relatively weak based on domestic patents, U.S patent and research papers by analyzing the valid patents and papers with statistical test and self-organizing map quantitatively. Then, presenting the necessity of this technology development.

A Study on Technology Prediction Matrix Module Promising ICT for the Creation of Economic Strengthening (창조경제력 강화를 위한 ICT유망기술 예측 Matrix Module 연구)

  • Woo, Chang-Hwa;Park, Dae-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.156-159
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    • 2013
  • The ICT technology by using smartphone is leading the world. Apple opened the smart age with its smartphone on the first place in the world. In 2013, Samsung of Korea is spotlighted in the world, but China will run after Samsung with medium- and low-priced smartphones equipped with functionality and low and medium prices after 2014. That is, the life cycle of ICT technology gets shorter, and the volume of investment is increased. There is increasing uncertainty of enterprises and nations because the expanded volume of investment. Therefore, it is very important to predict emerging ICT technology, and investment development. Korea based on the creative economy is at the point of strengthening ICT. Therefore, this study aims to analyze intellectual property rights (patent) and the ICT market environment for the emerging ICT technology. The result of analysis will contribute to studying the intellectual property rights (patent) and the R&D matrix module in the ICT market environment for discovering and predicting national emerging ICT technology.

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Identification of Convergence Trend in the Field of Business Model Based on Patents (특허 데이터 기반 비즈니스 모델 분야 융합 트렌드 파악)

  • Sunho Lee;Chie Hoon Song
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.3
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    • pp.635-644
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    • 2024
  • Although the business model(BM) patents act as a creative bridge between technology and the marketplace, limited scholarly attention has been paid to the content analysis of BM patents. This study aims to contextualize converging BM patents by employing topic modeling technique and clustering highly marketable topics, which are expressed through a topic-market impact matrix. We relied on BM patent data filed between 2010 and 2022 to derive empirical insights into the commercial potential of emerging business models. Subsequently, nine topics were identified, including but not limited to "Data Analytics and Predictive Modeling" and "Mobile-Based Digital Services and Advertising." The 2x2 matrix allows to position topics based on the variables of topic growth rate and market impact, which is useful for prioritizing areas that require attention or are promising. This study differentiates itself by going beyond simple topic classification based on topic modeling, reorganizing the findings into a matrix format. T he results of this study are expected to serve as a valuable reference for companies seeking to innovate their business models and enhance their competitive positioning.

Identifying Core Robot Technologies by Analyzing Patent Co-classification Information

  • Jeon, Jeonghwan;Suh, Yongyoon;Koh, Jinhwan;Kim, Chulhyun;Lee, Sanghoon
    • Asian Journal of Innovation and Policy
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    • v.8 no.1
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    • pp.73-96
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    • 2019
  • This study suggests a new approach for identifying core robot tech-nologies based on technological cross-impact. Specifically, the approach applies data mining techniques and multi-criteria decision-making methods to the co-classification information of registered patents on the robots. First, a cross-impact matrix is constructed with the confidence values by applying association rule mining (ARM) to the co-classification information of patents. Analytic network process (ANP) is applied to the co-classification frequency matrix for deriving weights of each robot technology. Then, a technique for order performance by similarity to ideal solution (TOPSIS) is employed to the derived cross-impact matrix and weights for identifying core robot technologies from the overall cross-impact perspective. It is expected that the proposed approach could help robot technology managers to formulate strategy and policy for technology planning of robot area.

Monitoring the Change of Technological Impacts of Technology Sectors Using Patent Information: the Case of Korea

  • Yoon, Janghyeok;Kim, Mujin;Kim, Doyeon;Kim, Jonghwa;Park, Hyunseok
    • Industrial Engineering and Management Systems
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    • v.14 no.1
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    • pp.58-72
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    • 2015
  • A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during 2003-2012. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.

Risk Factors Associated with Germinal Matrix-Intraventricular Hemorrhage in Preterm Neonates

  • Kim, Kwang-Ryeol;Jung, Sang-Won;Kim, Dong-Won
    • Journal of Korean Neurosurgical Society
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    • v.56 no.4
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    • pp.334-337
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    • 2014
  • Objective : The purpose of this study is to identify the risk factors associated with the development of germinal matrix-intraventricular hemorrhage (GM-IVH) and the relationship of the severity of disease and prematurity. Methods : A total of 168 premature neonates whose birth weight ${\leq}1500g$ or gestational age ${\leq}34$ weeks were examined by cranial ultrasound (CUS) for detection of GM-IVH among the babies admitted between January 2011 and December 2012 in our medical center neonatal intensive care unit. The babies were divided into two groups : GM-IVH and non-IVH. Clinical presentations, precipitating factors of the patients and maternal factors were analyzed. Results : In univariate analysis, gestational age, birth weight, delivery method, presence of premature rupture of membrane (PROM) and level of sodium and glucose were statistically meaningful factors (p<0.05). But only two factors, gestational age and presence of patent ductus arteriosus (PDA) were statistically meaningful in multivariate logistic regression (p<0.05). Delivery method [normal vaginal delivery (NVD) to Caeserean section] was borderline significant (p<0.10). Conclusion : Presence of PDA and gestational age were the important risk factors associated with development of GM-IVH.

Technology Strategy based on Patent analysis (특허분석을 이용한 기술전략수립)

  • Kim, Jong-Chan;Lee, Joon-Hyuck;Park, Sang-Sung;Jang, Dong-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.2
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    • pp.141-146
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    • 2016
  • By occasion of propagation of 3D TV, technology of glassless 3D display is increasingly important. Currently, there was no lead technology In this technology. Thus it is important to develop differentiated technology for secure competitiveness. In this paper, We analyze patents for R&D strategy about glassless 3D display. Through Company-Technology matrix analysis and Patent trend analysis, We extract promising technology field and core technology. Lastly We suggest R&D strategy by using patent road map.

Patent Keyword Analysis for Forecasting Emerging Technology : GHG Technology (부상기술 예측을 위한 특허키워드정보분석에 관한 연구 - GHG 기술 중심으로)

  • Choe, Do Han;Kim, Gab Jo;Park, Sang Sung;Jang, Dong Sik
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.2
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    • pp.139-149
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    • 2013
  • As the importance of technology forecasting while countries and companies manage the R&D project is growing bigger, the methodology of technology forecasting has been diversified. One of the forecasting method is patent analysis. This research proposes quick forecasting process of emerging technology based on keyword approach using text mining. The forecasting process is following: First, the term-document matrix is extracted from patent documents by using text mining. Second, emerging technology keyword are extracted by analyzing the importance of word from utilizing mean values and standard deviation values of the term and the emerging trend of word discovered from time series information of the term. Next, association between terms is measured by using cosine similarity. finally, the keyword of emerging technology is selected in consequence of the synthesized result and we forecast the emerging technology according to the results. The technology forecasting process described in this paper can be applied to developing computerized technology forecasting system integrated with various results of other patent analysis for decision maker of company and country.

A Study on the Measurement of Technological Impact using Citation Analysis of Patent Information (특허정보분석을 이용한 기술파급효과 측정에 관한 연구)

  • Yoo, Sun-Hi;Lee, Yong-Ho;Won, Dong-Kyu
    • Journal of Korea Technology Innovation Society
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    • v.10 no.4
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    • pp.687-705
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    • 2007
  • Nowadays it is more important to measure the technological impact of a concerned R&D technology on others, when deciding or selecting strategically, under the environment such as more complex, more uncertain and more costly. But there was very few of proper methods to measure quantitatively. So we studied on measuring the technological impact of one group of technologies on others, which means the flow of disembodied knowledge, using patent citation analysis. We reviewed the prior art of the measurement of technological impact, and designs the effective citation analysis method using patent information, analyzing the prior art of patent citation analysis method and ie index. Finally, we developed the disembodied knowledge flow matrix between technology groups, counting citation frequencies between them, using KISTI's US patent database(USPA) and the index to represent the technological impact to others using the developed matrix as well as the intrinsic nature of the technological groups clustering by network analysis. The results of this study is to present the insight of a technological impact on the others quantitatively and this study aims at using them to refer to R&D budgeting and decision making in case of R&D planning or to the basic information to understand technology conversion or fusion.

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A Study on Trend of Technology Development for Part Localization of Weapon System through Patent Information (특허정보를 이용한 무기체계 부품국산화 개발기술 동향조사 및 분석)

  • Kim, Sung-Kyu;Choi, Chung-Seok;Choi, Yoon-Hyeok;Kim, Jin-Ha
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.524-533
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    • 2021
  • Recently, due to the increasing necessity of developing core parts for weapons systems, the project for localization of parts for weapons systems is expanding. In order to apply the developed core parts to the domestic weapon system and advance into the overseas market, it is necessary to plan a project that reflects the technology trends in advance. This study derived trend of technology development through conducting the patent research and analysis. Also, suggested plan for applying the analysis results when project planning and selecting. As a detailed method, patents related to the 2019 year selection project were investigated. The number of patent applications by year and number of applicants from the time of the first application to the present were analyzed. And the growth stage of the technology market was derived. The comprehensive result was derieved through the portfolio analysis by arranging the parts localization technology in each area of the matrix consisting of market growth stage and the criteria for the selection of parts localization project. This research suggested the applying plan for improving project selection process. we expect the promotion of defense industry and the effective task planning.