• Journal of IKEEE
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• v.26 no.4
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• pp.545-552
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• 2022

The number of patent application filing for a specific technology has a good relation with the technology's life cycle and future industry development on that area. So industry and governments are highly interested in forecasting the number of patent application filing in order to take appropriate preparations in advance. In this paper, a new method based on the bidirectional long short-term memory(LSTM), a kind of recurrent neural network(RNN), is proposed to improve the forecasting accuracy compared to related methods. Compared with the Bass model which is one of conventional diffusion modeling methods, the proposed method shows the 16% higher performance with the Korean patent filing data on the five selected technology areas.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.5
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• pp.337-351
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• 2016

As technologies' life-cycle shortens and their development directions are uncertain, firms' technology planning capability becomes increasingly important. Prior patent-based studies using technology growth curves identify developmental stages of technologies, thereby formulating technology development directions from an overall perspective. However, a technology generally consists of multiple sub-technologies and accordingly their development stages are likely various. In this regard, the prior studies failed to identify core sub-technologies and their specific development directions. Therefore, we suggest an approach consisting of 1) identifying core sub-technologies of a given technology using patent co-classifications and social network analysis, and 2) identifying each sub-technology's development stage and thereby determining its further development direction. We apply our approach to patents related to augmented reality to examine its applicability. It is expected that our approach will help identify evolving development stages for the core sub-technologies of a given technology, thereby effectively assisting technology experts in technology planning processes.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.83-93
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• 2016

In this paper, I study to determine the effect on patent applicants across the network characteristics of innovation in the ICT sector in Korea. For that, I use the Social Network Analysis(SNA) and the Negative Binomial Regression(NBR). The results about the innovation network in Korea ICT is very dense type. And the degree centrality and the closeness centrality had such a positive effect on innovation performance. Also, the efficiency had not reached a significant effect and the constraint was found to have a negative effect on innovation performance. In the future, based on these results, we need to plan a proper policy of the Korea Technology Innovation Policy.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3210-3219
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• 2015

This study attempts to search for potential users of patents developed by public research institutes, emphasizing the importance of identifying potential users for successful technology marketing. On the basis of the theoretical argument that technological development show path-dependence, we analyzed patent citation network of a technology developed by a Korean public research institute to achieve the purpose of this research. The result shows that the potential users identified from our method are different from the institute's initial expectation. Therefore, we argue that the method using patent citation network is useful and effective for public research institutes' technology marketing. Lastly we suggest a new framework for technology marketing process in public research institutes.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.3
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• pp.566-582
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• 2016

This study aims to analyze knowledge extension and diffusion trend among industries through technological convergence in non-Capital rural areas. A case of Sunchang, Korea examines knowledge extension trend of fermented soy product manufacturing industry. Patent application data are used to make technology convergence analysis and knowledge network analysis. Patent analysis results show that there are differences of knowledge extension trend between the whole country and Sunchang. Technologies of fermented soy product manufacturing in Sunchang is inclined to extend toward technologies related to fermented microorganism. Contrary to the whole country, knowledge extension in rural area like Sunchang is converged to technologies suitable for specialized but limited regional assets and human resources. Core actors of knowledge network of fermented soy product manufacturing in Sunchang are mainly public organizations such as local government, universities, and agencies or institutes. Recently technology sharing and extension is likely to occur through the cooperation between associative corporations and public organizations.

• Journal of Korea Technology Innovation Society
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• v.18 no.1
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• pp.49-72
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• 2015

The patent war between Apple and Samsung which started in the year of 2011 presents us a good example of a multifaceted technological strategies, frequently found in high-tech industries. The patent litigation represents a competitive structure, while the patent citation of counterpart's technology demonstrates the underlying cooperative relationship between two leading firms in smart-phone industry. However, the previous studies have mostly concentrated on one aspect in inter-firm relationship, providing only a partial aspect of technological management issues often faced by high-tech companies today. We also have a limited understanding on the technological trajectory or how the core technology evolve over time in high-tech industry where technological knowledge is the main source of competitive advantage. To overcome the drawbacks in the previous studies, we examine the coopetitive nature of inter-organizational relationship with simultaneous perspectives of competition and cooperation in smart-phone industry. To this end, this study analyzes patent-litigation for revealing the competitive nature and patent-citation network for the cooperative nature by utilizing patent citation data. By doing so, we identify the specific patterns of technological knowledge flows and the direction of technological strategy and the relevant policy under the circumstance of coopetition ecosystem.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.446-458
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• 2017

In order to make a decision about the acquisition of command control communication weapon systems considering the client's technology level requirements, the improvement of the domestic technology level and security of core technology, the person in charge can perform technology evaluation/analysis based on command control communication weapon system patent data. As a method of collecting such patent data, we can collect the patent data of government-designated (Defense Acquisition Program Act Article 35) companies (11 Major defense companies/9 General defense companies) through the Korea Intellectual Property Rights Information System (KIPRIS) of the Korean Intellectual Property Office (KIPO) In this way, we collected 1,526 patents and 134 International Patent Classification (IPC) types through the KIPRIS of the KIPO. Based on these data, we performed three types of analysis, General information analysis, Principal Components Analysis (PCA) and Network analysis, and extracted 27, 19 and 13 IPC types from them, respectively. Based on the above three analysis results, we confirmed 8 IPC types (F41A, F41G, G06F, G01S, H04B, H04L, H04M and H04W) as the key technologies and representative technology fields of domestic communication-electronics defense companies.

• Proceedings of the IEEK Conference
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• 2004.06a
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• pp.277-280
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• 2004

A wireless LAN(WLAN) is a local area network without wires. WLANs have been around for more than a decade, but are just beginning to gain momentum because of falling costs and improved standards. This paper presents the state of the arts and analyses the patent information of wireless local area network technology.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.86-98
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• 2020

The artificial intelligence (AI) is a technology that will lead the future connective and intelligent era by combining with almost all industries in manufacturing and service industry. Although Korea is one of the world's leading artificial intelligence group with the United States, Japan, and Germany, but its competitiveness in terms of artificial intelligence patent is relatively low compared to others. Therefore, it is necessary to carry out quantitative analysis of artificial intelligence patents in various aspects in order to examine national competitiveness, major industries and future development directions in artificial intelligence technology. In this study, we use the IPC technology classification code to estimate the overall life cycle and the speed of development of the artificial intelligence technology. We collected patents related to artificial intelligence from 2008 to 2018, and analyze patent trends through one-dimensional statistical analysis, two-dimensional statistical analysis and network analysis. We expect that the technological trends of the artificial intelligence industry discovered from this study will be exploited to the strategies of the artificial intelligence technology and the policy making of the government.

• Journal of Technology Innovation
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• v.22 no.3
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• pp.65-100
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• 2014

We tried to find out the technological innovation properties of the National Research and Development Projects (NRDPs) through scientometric analysis of patent data generated by the NRDPs. The distribution of technology groups in patent data shows that NRDPs are highly focused on the Information Technology(IT) group. The Relative Cites Index(RCI) analysis implies that the Biotechnology(BT) group will emerge in the future. The Relative Family Indices(RFIs) are high among the high technological impact groups such as BT and IT. We defined new measures related with technological convergence and collaborativenessopenness relations among R&D agents. Using network analysis techniques, we analysed the absorption-derivation relations among technology groups and the opennesscollaborativeness relations among R&D agents. Recently, both the share of hetero-plural technology groups and the collaboration among different R&D agents are increasing.