• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1499-1505
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• 2015

This study is about the patent information analysis of relevant companies and technologies based on International Patent Classification (IPC) code. 902 patent applications in the field of electronic commerce(G06Q) by NAVER, the biggest internet company in Korea, are the subjects of this study. First, we investigated the number of applications and registrations per IPC code so that we could analyze the core technology areas and the status of patent application. In addition, we examined the convergence of technologies by investigating interconnections between main and sub categories of IPC codes. Lastly, we looked into the changes in patent technologies by investigating the status of application per IPC code in accordance with year. By analyzing the IPC code based patent information used in this study, we could further expect the trends of companies and technologies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.930-932
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• 2015

This study is the basic research about the patent information analysis to predict the technology trend based on the IPC(International Patent Classification) code. We investigated the patents in the field of Business Method(G06Q) since 2011. Consequently the most frequently IPC code in G06Q are as follows. G06Q 50/10(1,652), G06Q 30/02(816), G06Q 50/30(735), G06Q 40/02(713), G06Q 50/22(530), and G06Q 30/06(489).

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.3
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• pp.266-272
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• 2016

In this study, we analysed the technology convergence of Internet of Things(IoT) by International Patent Classification(IPC) code analysis. 163 patent applications in Korea are the subjects of this study. We confirmed that the most representative IPC code combinations between Main and Sub categories are G06Q 50/24-G06Q 50/22(6 cases), H04L 29/02-H04L 12/28(4 cases), G06F 15/16-G06F 3/048(3 cases), G06F 15/16-G06F 9/44(3 cases), and G06Q 50/22-G06Q 50/24(3 cases). The field of Health Care business have been prepared 9 patent applications by technology convergence between 'Health Care(G06Q 50/22)' and 'Patient Record Management(G06Q 50/24)'. Finally we also concluded that the core IPC code are G06F 15/16, G06Q 50/22, G06Q 50/24, and H04L 12/28 by the technology convergence interconnections analysis of IoT patent applications.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.11
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• pp.1642-1648
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• 2021

We analyzes representative technologies of IoT patents and reflects these results in the curriculum of IoT. In order to identify the representative technologies, the IPC codes of the patents were analyzed. Among the main category IPC codes, the most used IPC codes were H04L in Single IPC Patent with 974 cases(32.0%) and G06Q in Multiple IPC Patent with 710 cases(29.2%). As a result of classifying the IPC code into the WIPO technology classification system, the most emphasized technologies are Digital Communication, accounting for about 60.5% in the Single IPC Patent and IT Methods for Management(710 cases, 29.2%) in Multiple IPC Patent. The main points to be considered when organizing the curriculum of IoT are: ∇Emphasis on Digital Communication, ∇Expansion of Education related to IT Methods for Management(Including entrepreneurship and patent application), and ∇Consideration of subjects related to the Convergence of IoT. This research can contribute to the curriculum design of new industrial technologies such as AI and Fintech.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.5
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• pp.308-314
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• 2022

This study deals with the technology Convergence Analysis by IPC Code-Based Social Network Analysis of Healthcare Patents filed in Korea. The relationship between core technologies is visualized using Social Network Analysis. At the subclass level of healthcare patents, 1,155 cases (49.4%) of patents with complex IPC codes were investigated, and as a result of Social Network Analysis on them, the IPC codes with the highest Degree Centrality were A61B, G16H, and G06Q, in that order. The IPC codes with the highest Betweenness Centrality are in the order of A61B, G16H, and G06Q. In addition, it was confirmed that healthcare patents consist of two large technology clusters. Cluster-1 corresponds to related business models centered on A61B, G16H and G06Q, and Cluster-2 is consisting of H04L, H04W and H04B. The technology convergence core pairs of the healthcare patent is [G16H-A61B] and [G16H-G06Q] in Cluster-1, and [H04L-H04W] in Cluster-2. The results of this study can contribute to the development of core technologies for healthcare patents.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.2
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• pp.294-302
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• 2009

In this paper, the trend of technology and the business strategy on 'Hearing Aids' are investigated for the industry promotion of medical devices based on IT engineering from the 316 patents of 'Hearing Aids' registered in Korean Intellectual Property Office(KIPO). The classification of technology on 'Hearing Aids' is performed according to the IPC(International Patent Classification) code to and the core technology of 'Hearing Aids' As the results of classification of IPC code, the number of patents with IPC code 'H04R', 'H04B', 'H01M', and 'A61F' are 160, 46, 40, and 19 respectively. We found that the Digital technology and the Medical Transplants technology are come to the front of 'Hearing Aids' and the foreign 'Hearing Aids' companies are filed an application with the Korean Intellectual Property Office(KIPO) before their business.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.949-955
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• 2020

In this Study, Social Network Analysis of IoT related patents in South Korea, China, and Japan was conducted from the viewpoint of patent informatics. To this end, 2,526 patents filed by PCT until December 2019 were investigated up to the subclass level of the IPC code. As a result, in the case of South Korea, representative IPC codes are in the order of G06Q, H04L, G06F, H04W, and the highest frequency of interconnection is H04L→H04W, H04W→H04L, H04W→H04B. In China, the representative IPC codes are in the order of H04L, H04W, G05B, G06Q. South Korea has strong technological convergence centered on the G06Q, while China has strong convergence centered around H04L and H04W. Moreover, in China, H04L and H04W have more diverse combinations than in South Korea in Section A, B, G, and H. In the future, it is necessary to study the diversity of technology convergence of H04L and H04W in China.

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.3
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• pp.190-195
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• 2016

A technology is continuously developed in a rapidly changing global market. A company requires an appropriate R&D strategy for adapting to this environment. That is, the technologies owned by the company needs to be thoroughly analyzed to improve its competitiveness. Alternatively, technology classification using IPC codes is carried out recently in an objective and quantitative way. International Patent Classification, IPC is an internationally specified classification system, so it is helpful to conduct an objective and quantitative patent analysis of technology. In this study, all of the patents owned by company C are investigated and a matrix representing IPC codes of each patent is created. Then, a structured association map of the patents is made through association rules mining based on Confidence. The association map can be used to inspect the current situation of a company about patents. It also allows highly associated technologies to be clustered. Using the association map, this study analyzes the technologies of company C and how it changes with time. The strategy for future technologies is established based on the result.

• 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.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.573-580
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• 2002

Reusing IPs requires interface protocol related tasks such as writing test benches and designing interface protocol conversion circuits, e.g. wrappers for IPs. The results of those tasks usually include IPC(interface protocol component)s for the corresponding IPs, similar to bus protocol components of the bus functional models. This paper proposes a methodology for the interface circuit design using synthesizable In that can be re-used. IPC recognizes or executes transactions over the given interface ports. So we present a transaction-oriented interface protocol description language, and a method to convert the description into an IPC in synthesizable VHDL code. With experiments, we show that the interface design using IPC does not cause significant area overhead compared with the interface design without IPC. The proposed IPC-based approach can be employed to reduce the interface design time since the designers can reuse IPCs without understanding the detailed interface protocols.