• ETRI Journal
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• v.34 no.4
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• pp.602-612
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• 2012

It is becoming increasingly difficult to identify promising technologies due to the influx of new technologies and the high level of complexity involved in many of these technologies. Identifying promising information and communications technology (ICT)-based converging technologies holds the key to finding new sources of economic growth and forward momentum. The goal of this study is to identify cutting-edge ICT-based converging technologies by examining the latest trends in the US patent market. Analyzing the US patent market, the most competitive of such markets in the world, can yield certain clues about which of the ICT-based converging technologies may be the next revolutionary technologies. For a classification of these technologies, this study follows the International Patent Classification system. As for ICT, there are 58 related fields at the subclass level and 831 fields at the main-group level. For emerging and converging technologies, there are 75 at the main-group level. From these technologies, a final selection for cutting-edge ICT-based converging technologies is made using a composite index reflecting the converging coefficient, emerging coefficient, and technology impact index.

• Clean Technology
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• v.18 no.3
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• pp.307-311
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• 2012

Patents is a strong asset. Samsung and Apple's patent lawsuit is a prime example. So many countries reinforce the intellectual property and they lay the emphasis on the patent. Utilizing the patent information efficiently is basic to the patent analysis. Patent information will provide for new science and technology information sources, international code is classified according to the international patent system IPC, being easily accessible. In this paper, analysis of foreign and domestic patents for zeolite technologies analysis using IPC. The current of technology development in such countries as Korea, USA, Japan, China and EU was analyzed by classifying the patents for 1992 through 2011 according to registration country, assignee, calendar year and technology area.

• Asian Journal of Innovation and Policy
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• v.4 no.3
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• pp.307-327
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• 2015

This study attempts to develop a methodology that analyzes patent applications to identify future skills, in particular in the sector of information security, recently into the spotlight. Matching skill elements from the International Patent Classification (IPC) with skill units from job analysis, the study tries to track trends in the skills needs based on IPC time-pattern. It then verifies the validity of the outlook for future skills needs by addressing the situation through the use of patents. The research assesses the usability of patent information for this type of analysis. While this study is limited to the information security sector by using Korean patent information, it can be expanded in the future to other areas and patents in the United States and Europe.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.5
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• pp.189-194
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• 2018

Unmanned technology is a representative technology that integrates various technologies like electric, electronic, mechanical, artificial intelligence, ICT technology, ect. In special emphasize, ground technology has been developing exponentially in the military field and expanding its utilization area. The patent information analysis method presented in this study, proposes a new patent analysis methodology for patent information analysis and patent information on unmanned ground technology. The patent information analysis processor has 6 levels to extract core patents and technologies. The process consists of: selection of technology to be analyzed, classification of detailed technology / key keyword selection, patent information collection / noise reduction, selection of patent information analysis method, patent information analysis, finally, core patents and key technologies that are extracted. Patent information on unmanned ground technology is also analyzed in this study. First, the technical classification of ground unmanned technology is carried out in detail. The core technology and core patents of ground unmanned technology were extracted through CPP and IPC code connectivity analysis. The results of patent information analysis using proposed patent information analysis method that can be applied to various fields of technology and analysis. These can be used as a material to forecast the direction of future research and development on the technology to be analyzed.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.513-519
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• 2022

The 4th industrial revolution has made our life convenient, and the development of new technologies has brought affluent life. Considering that the 4th industrial revolution is a next-generation industrial revolution led by robot technology, life science, and artificial intelligence, the need for convergence research in sports field stimulated the continuous efforts for the academic foundation of sports. Recently, as interest in home training has increased due to the COVID-19 pandemic, the Pilates has also attracted much attentions demand for related supplies has increased. This is an demonstration that COVID-19 has had an impact on the sports industry ecosystem. The purpose of this study was, accordingly, to identify current trends through accurate patent information related to Pilates and to provide basic data for future studies on sports convergence industry and sports intellectual property. For the purpose, based on the data from Jan. 1 to Dec. 31, 2021 provided by KIPRIS (www.kipris.or.kr), the patent information search service provided by the Korean Intellectual Property Office, patent status analysis, international patent classification (IPC) patent analysis, and detailed patent analysis by classification were performed.

• Korean Chemical Engineering Research
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• v.50 no.5
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• pp.900-907
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• 2012

Research and development is entering on more complicated aspect gradually and tends to increase sharply in a quantitative manner. Technology competition is getting higher. This study intends to raise recognition of a necessity of productivity in a rapidly-changing research and development field and to suggest alternatives for improving its research productivity. For it, the research productivity was analyzed by utilizing two processes of patent and paper analysis. In this paper, we propose a patent analysis method for technology forecasting of the Forward Osmosis Membrane using objective patent data. The application status of patents showed a tendency to increase slightly. The current of FOM technology development in such countries as Korea, USA, Japan, China and EU was analyzed by classifying the patents for 1990 through 2011 according to registration country, assignee, calendar year and technology area.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.25-32
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• 2019

With the rapid development of artificial intelligence technology, the patenting activities related to the fields of AI is increasing worldwide. In particular, a share of patent filed in China has exploded in recent years and overtakes the numbers in the US. In the present study, we focus our attention on the patenting activity of China and the US. We analyzed 6,281 and 13,664 patent applications in the US and China respectively between 2008 and 2018, and belonging to the "G06F(Electric Digital Data Processing)", "G06N(Computer Systems Based on Specific Computational Models)", "H04L(Transmission of Digital Information)" and nine more relevant technological classes, as indicated by the International Patent Classification(IPC). Our analysis contributes to: first, the understanding of patent application trends from foreign countries filed in the US and China, 2) patent application status by applicants category such as companies, universities and individuals, 3) the development direction and forecasting vacant technology of AI according to main IPC code. Through the analysis of this paper, we can suggest some implications for patent research related to artificial intelligence in Korea. Plus, by analyzing the most recent patent data, we can provide important information for future artificial intelligence technology research.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.813-818
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• 2008

Highly cited patents (HCPs) were selected from the patents published from 2002 to 2006. Citation frequencies of patents were obtained from the database provided by DWPI and were analyzed with respect to the IPC (International Patent Classifications). HCPs were selected as those who occupy top 1% of citations in the sets of patents given by IPCs and publication year. After selecting the HCPs their distribution over IPCs, Industrial Classifications and patent assignees' nationalities were analyzed. According to the result the US held 5,634 patents (66.9%) out of the total 8,416 patents occupying the the first rank in the distribution of patent assignees' nationalities. Japan and Germany ranked the 2nd and 3rd place holding 885 (10.5%) and 521 (6.2%) HCPs, respectively. On the other hand, Korea were positioned at 6th holding 151 (1.8%) HCPs. Among the industrial sectors classified by the Industrial Classifications provided by the Korean Intellectual Property Office, Manufacturing Sector occupied the 1st place with 7,692 HCPs (81.7%) and Waste Treatment Sector occupied the 2nd place with 578 HCPs (5.9%).

• Proceedings of the Korea Contents Association Conference
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• 2007.11a
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• pp.103-106
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• 2007

The importance of intellectual property right becomes larger and the number of the person who uses a patent search is increasing. When considering the search pattern of the general user who uses only one or two search terms, it is not easy task to find desirable search result in the massive patent documents. So we present patent search system based on IPC Clustering which helps users confine the search result by using international patent classification (IPC) which provided from all patent documents. By using this system, the general users can find patent search result more effectively.

• 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.