• New & Renewable Energy
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• v.8 no.1
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• pp.35-43
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• 2012

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 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, technology classification for related patent analysis methods and system, and patent analysis for desalination technology using solar energy development was carried out as well. The patents in Korea, USA, Japan, China, and Europe were searched. The technology trend desalination technology using solar energy was analyzed based on patent application year, countries, main applications, and each technologies. The application status of desalination patents showed a tendency to increase slightly. It was found that the number of patent for applied desalination was USA patent 21.0%, Japan patent 27.0%, China 24.8%, EU 2.7% and Korea patent 24.5%, respectively.

• 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.

• The Journal of Information Systems
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• v.28 no.3
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• pp.141-158
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• 2019

Purpose Artificial Intelligence (AI) is a core technology, leading the 4th industrial revolution. This study aims to diagnose the Korean's national competitiveness for AI technologies through patent analyses. Design/methodology/approach In this study, KIWEE and Derwent Innovation databases were used as data source of patents. we extracted 10,510 AI patents data with keywords and classified them into 15 subcategories of AI technology. We executed patent analyses for activity index, patent intensity index, technology strength, and patent family size and diagnosed Korea's national competitiveness in AI industry. Findings The results showed that Korea is less competitive than the United States and Japan in AI industry. However, patent amount has increased since 2010, which is encouraging result. This study has implication on the need for human and R&D investment in AI industry.

• Korean Management Science Review
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• v.24 no.2
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• pp.1-18
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• 2007

This paper presents a consolidated patent index to measure national technology innovation and science technology activation, as well as index for the main constituent such as corporation, research organization by comprehensive analysis of existing patent index. It is classified by macroscopic index and analytical index in the consolidated patent index, in which macroscopic index is to present a degree of innovation in national scientific innovation and is divided into the Consolidated Patent Index and Index for comparison between countries. The analytical index basically designed to measure R&D activity by the main constituent is divided to present by quantitative index utilizing bibliographical data in patent and other technical publication related therein, and qualitative index for analysis of bibliographical data. In this paper, the Consolidated Patent Index is presented by adding Creation Index representing for patent by developing excellent technology, Evaluation Index representing valuable technology thereof, and Utility Index representing applicability diffused.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.103-110
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• 2019

A patent contains detailed information of the developed technology and is published to the public. Thus, patents can be used to overcome the limitations of traditional technology trend research and prediction techniques. Recently, due to the advantages of patented analytical methodology, IP R&D is carried out worldwide. The patent is big data and has a huge amount, various domains, and structured and unstructured data characteristics. For this reason, there are many difficulties in collecting and researching patent information. Patent research generally writes the Search formula to collect patent documents from DB. The collected patent documents contain some noise patents that are irrelevant to the purpose of analysis, so they are removed. However, eliminating noise patents is a manual task of reading and classifying technology, which is time consuming and expensive. In this study, we propose a model that automatically classifies The Noise patent for efficient patent information research. The proposed method performs Patent Embedding using Word2Vec and generates Noise seed label. In addition, noise patent classification is performed using the Random forest. The experimental data is published and registered with the USPTO among the patents related to Ocean Surveillance & Tracking Network technology. As a result of experimenting with the proposed model, it showed 73% accuracy with the label actually given by experts.

• Journal of Korea Technology Innovation Society
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• v.2 no.2
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• pp.309-325
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• 1999

If we want to overcome the current IMF-guarded economic situations as early as possible and to change the present industry structure to the new knowledge-based structure, it is a great necessity to increase the capability of technology innovation as a key factor of the international competitiveness, and to establish the infrastructure of venture business for increasing utilization of technologly and patent. Even though there has been a great increase in application and enrollment of the Industrial Property Rights (i.e. IPRs) including patent recently, the number of unused IPRs are increasing progressively every year (for example, the ratio of unused patent is about 60% in 1997), and illegal use of patent and dependance on the foreign patent are increasing sharply. This paper will suggest policy on nurturing venture business for increasing utilization of the unused IPRs, including technology transaction strategy and link strategy of the high-tech industries between metro Taejon and Chungcheong Area.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2000.11a
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• pp.177-193
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• 2000

In foreign countries, high-efficiency electric machineries have been developed in view of cost reduction, environmental issues, energy conservation etc. Especially they focus on developing energy conservation measures and demand-side management. Thus, patent application and secure of patent claims are on the rise as important issues in this field. In this paper, we analyzed patent application trends about inverters, ac/dc converters, reactive power control equipments, high-efficiency transformers and electric ballasts among high-efficiency electric machineries. First, we analyzed general technology trends, and constructed patent technology data. Second, we graphed patent application trends in terms of application years, assignees and nations.

• Journal of Industrial Convergence
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• v.15 no.2
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• pp.17-26
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• 2017

In light of the fact that the effect of intellectual property rights like patent on enterprise competitiveness is growing, rational valuation of patent rights, which are own by enterprises, is required because accurate patent valuation can bring about the activation of the technology exchange market and enhancing the values of enterprises as well as the security of funds through technology security. However, in reality, interest in the value of patent rights is not great due to many variables, affecting patent rights, and diverse attributes, and non-generalized methods of valuation. Therefore, studies on patent valuation for patent management of Small and Medium Enterprises is required. This thesis examined patent valuation for the patent management of Small and Medium Enterprises based on literature studies, and attempted to find factors, affecting patent valuation by finding patent valuation factors through experts, organizing, and analyzing these factors. 10 essential factors, which are demonstrated in this research, are the commercialization possibilities of technology, market competitiveness, the possibility of technology commercialization, market size, the originality of acquired technology, the stability of the right(the possibility of invalidating), the level of technology, technology competitiveness, the ripple effect of technology, and the characteristics of technology(original technology/application technology).

• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.88-95
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• 2017

As the safety fields are expanding to a variety of industrial fields, safety technology has been developed by convergence between industrial safety fields such as mechanics, ergonomics, electronics, chemistry, construction, and information science. As the technology convergence is facilitating recently advanced safety technology, it is important to explore the trends of safety technology for understanding which industrial technologies have been integrated thus far. For studying the trends of technology, the patent is considered one of the useful sources that has provided the ample information of new technology. The patent has been also used to identify the patterns of technology convergence through various quantitative methods. In this respect, this study aims to identify the convergence patterns and fields of safety technology using association rule mining(ARM)-based patent co-classification(co-class) analysis. The patent co-class data is especially useful for constructing convergence network between technological fields. Through linkages between technological fields, the core and hub classes of convergence network are explored to provide insight into the fields of safety technology. As the representative method for analyzing patent co-class network, the ARM is used to find the likelihood of co-occurrence of patent classes and the ARM network is presented to visualize the convergence network of safety technology. As a result, we find three major convergence fields of safety technology: working safety, medical safety, and vehicle safety.

• 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.