• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.125-145
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• 2020

We explore technology ecosystem of smart surgical medical system by analyzing patent data applied for in Korea and Japan. First, a review of trends of patent application by country/technological domain show that there exist a minority of technology domains focused on R&D, which represent their trends have been increasingly active. Also, while a number of Japanese firms mainly consist of the patent market of Japan, in case of the Korean market, a few universities, SMEs, and foreign firms are found to be the main applicants. As a result of the network analysis with the links as the relations of co-patenting, the relationships, which are active of convergence and knowledge spillover among the heterogeneous technology domains within each market, as well as the technology domains, which are the most active in international cooperation among each homogeneous domain, could get derived and visualized in the ecosystem. In addition, the technology domains in each patent market with leading locations, roles, and influence in the network can also be identified through the centrality analysis. In this study, the analysis for technology competitiveness are carried out focusing on patent activity and patent impact. The results denote that across all domains, the Japanese market may possess higher patent activity and patent impact compared to the Korean market. In consequence, we derive the position map for comparison by country and technology domain from a perspective considering comprehensively the multi-dimensional attributes based on the results of both network analysis and technology competitiveness.

• New & Renewable Energy
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• v.8 no.3
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• pp.30-37
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• 2012

In this study, we studied solar cell and fuel cell. To estimate the technology competitiveness, we used patent analysis using patent information and delphi method. For patent analysis, PII indicating the impact of patent was used. Also to analysis PII, citations data of registered and published patent were used from 2001 through 2010 in the United States, Japan, South Korea and the European Patent Office. And the delphi method results of the 'International trend analysis on the Green Energy Technology and the establishment of international cooperation models(2009)' were cited to estimate the technology level. According to the analysis results, Korea's patent registration growth rate was fairly high, but the patent impact and technology levels were significantly lower than in the United States, Japan and Germany. Especially in the solar cell, United States's PII is 1.8, but Korea's PII is 0.2. And the technology level of United States is 7 to 8, but Korea's is 5 to 6. Therefore, to improve technology competitiveness, Korea need to enhance the core technology R&D, and set up the consumer-oriented R&D strategy for commercialization from R&D planning phase. In this study, we analysed competitiveness of renewable energy which is not actively discussed. But there are limitations of the study because we used the result of past research and patent data in the past 10 years. Therefore to accurate research the period of patent data should be extended. Finally diverse indicators for measuring the technology competitiveness should be researched and developed.

• Journal of the Korean Institute of Intelligent Systems
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• v.27 no.2
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• pp.179-186
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• 2017

Technology forecasting is predict future trend and state of technology by analyzing the results so far of developing technology. In general, a patent has novel information about the result of developed technology, because the exclusive right of technology included in patent is protected for a time period by patent law. So many studies on the technology forecasting using patent data analysis has been performed. The patent keyword data widely used in patent analysis consist of occurred frequency of the keyword. In most previous researches, the continuous data analyses such as regression or Box-Jenkins Models were applied to the patent keyword data. But, we have to apply the analytical methods of discrete data for patent keyword analysis because the keyword data is discrete. To solve this problem, we propose a patent analysis methodology using Bayesian Poisson discrete model. To verify the performance of our research, we carry out a case study by analyzing the patent documents applied by Apple until now.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.9-16
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• 2018

In this paper, we propose wide range of categorizes Artificial Intelligence technology as Learning, Inference, and Cognitive. Also, it analyzes 758 cases of open patents. For an analysis, target technologies were selected and categorized into specific areas to collect information about the patents. After removing noise, the patent information for each technology such as patent assignees and IPC code, was analyzed to evaluate the maturity of technology, the way ahead for research and development and the trends in core technology. This research presents directions of Artificial intelligence technology research and trend analysis of core Artificial Intelligent technology using quantitative analysis of patent information. Also Artificial intelligence technology requires technological development necessity through close cooperation in diverse fields.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.10a
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• pp.46-46
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• 2018

The Platycodon grandiflorum (balloon flower) has been used as food material and traditional medicine in Asia. The roots have been used in traditional medicine to treat coughs, upper respiratory infections, and sore throats. Using 1,603 valid patents from 6 countries, we analyzed the patent trend based on year, countries, applicants, and technology. The technologies are categorized into 6 groups which include material, additives, manufacture, cultivation, breeding and seed. The technology competitiveness of countries were analyzed with quantitative factors such as cites per patent, patent impact index, patent family size and technology strength. In comparison with other countries in the patent index, South Korea shows an increasing trend in patent numbers and total leverage ability, although the individual technology is lower than Japan and USA. Our study provides information on technical trend to support the performance of new projects on balloon flower.

• Journal of the Korea Society of Computer and Information
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• v.21 no.8
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• pp.77-84
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• 2016

In general statistical analysis, we need to make a normal assumption. If this assumption is not satisfied, we cannot expect a good result of statistical data analysis. Most of statistical methods processing the outlier and noise also need to the assumption. But the assumption is not satisfied in big data because of its large volume and heterogeneity. So we propose a methodology based on box-plot and data smoothing for controling outlier and noise in big data analysis. The proposed methodology is not dependent upon the normal assumption. In addition, we select patent documents as target domain of big data because patent big data analysis is a important issue in management of technology. We analyze patent documents using big data learning methods for technology analysis. The collected patent data from patent databases on the world are preprocessed and analyzed by text mining and statistics. But the most researches about patent big data analysis did not consider the outlier and noise problem. This problem decreases the accuracy of prediction and increases the variance of parameter estimation. In this paper, we check the existence of the outlier and noise in patent big data. To know whether the outlier is or not in the patent big data, we use box-plot and smoothing visualization. We use the patent documents related to three dimensional printing technology to illustrate how the proposed methodology can be used for finding the existence of noise in the searched patent big data.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.12
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• pp.1868-1875
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• 2016

This paper presents the mega trends of technology and competitiveness analysis results based on patent analysis for establishing effective research and development (R&D) strategy on UAV (Unmanned Aerial Vehicle) in the aerial ICT industry. In order to analyze mega trends of UAV technologies, patent analysis is conducted focusing on published/registered patents of Korea, the U.S., Japan, and Europe. We divided the target technologies into 3 main category levels based on the converging technology of UAV and ICT. The 3,433 patents are collected. Patent indicators such as patent activity (PA), cites per patent (CPP), and major market expansion (MME) are extracted for grasping the technology competitiveness and Korea's competitiveness per sub category levels of UAV. We suggest the R&D strategy of each technology areas based on patent analysis results. We analyzed Korea's technology levels, advanced companies' R&D trends, and patent trends through patent information and expected that this paper would be utilized for establishment of R&D strategy of UAV in the future.

• Clean Technology
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• v.18 no.2
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• pp.144-154
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• 2012

Technology trends of coal gasification were studied through patent analysis. The patents published or registered in Korea, U. S. A., Japan and Europe, and administered by the World Intellectual Property Organization from mid 1970s to 2010 were analyzed based on the application tendency, patent share, major applicants and their activity indices, and market power, etc. Japan and U. S. A. led the patent activities in the early phase of technology development, but major applicants had been diversified globally since 2000. Portfolio analysis revealed that the technology was under developing period. The analysis showed that the most active R&D had been focused on gasifier development. Technology competitiveness was analyzed via indices such as cites per patent, patent impact index, technology strength and patent family size, etc. Key patents were extracted through quantification based on patent family size and cites per patent. The technology flow was figured out to reveal the technology trends.

• Journal of Information Technology Services
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• v.21 no.6
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• pp.39-51
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• 2022

As the 4th Industrial Revolution emerged as a key to improving national competitiveness, OCR technology, one of the major technologies in the 4th industry is in the spotlight. Since characters in various images contain a lot of information, OCR technology for recognizing these characters has evolved into technology used in many industries. In this paper, trends in OCR technology were identified and predicted using thesis data published in 'RISS' and patent data by International patent classification (IPC) under the theme of Optical character recognition (OCR). For patent data 20,000 patents related to OCR technology from 2002 to 2020 were used as data, and 432 papers from 2012 to 2022 were used as data. Through time-series analysis, each patent data and thesis data were investigated since when OCR technology has developed, and various keyword analysis predicted which technology will be used in the future. Finally, the direction of future OCR technology development was presented through network association analysis with patent data and thesis data.

• 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.