• 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 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.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.5
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• pp.292-300
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• 2023

This paper proposes a patent discovery method and strategy for Generative AI-related patents by utilizing qualitative evaluation indicators established based on the core components of the technology. Currently, the evaluation of patent quality relies on quantitative indicators, but existing quantitative indicators cannot represent the characteristics of Generative AI technology, making it difficult to accurately evaluate. Therefore, there is a need for additional qualitative indicators that consider technical characteristics based on patent claims, which can reveal the actual strength of the patent. In this paper, we propose a new evaluation index considering the technical characteristics of Generative AI. Core patents were selected using the proposed evaluation index, and the appropriateness of the proposed index was verified through the existing quantitative evaluation method for the selected core patents.

• Journal of the Korea Safety Management & Science
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• v.16 no.1
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• pp.213-220
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• 2014

This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.

• Proceedings of the KSR Conference
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• 2010.06a
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• pp.1975-1981
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• 2010

In this study, the patent trends for noise barrier and noise reducing device have been analyzed, for the development of adaptive noise barrier according to the transmission characteristics of railway noise. Using patent search engine, keyword searching for patents after 1980 in Korea was performed. The first 667 patents details were reviewed for the extraction core(ie, key) patents. From this review, finally 70 patents were built as DB. From this analysis of core patents, system requirements for development of noise reducing device were obtained.

• Patent21
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• s.58
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• pp.16-29
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• 2004

본 글은 Washington CORE LLC의 John S. Hillery 2004년 3월 자 Securitization of Intellectual Property: Recent Trends from the United States"를 번역한 것입니다. 한국어로의 번역 및 번역된 글의 "Patent21(한국특허정보원 발행)"에의 게재에 대한 저자의 허락을 받았으며, 저자가 요청한 고지사항을 아래와 같이 고지합니다. This report came from the Japanese IIP and you can download the original report in English from Japanese website. It was written by John Hillary of Washington CORE. 영어 원본은 모두 9장으로 구성되어 있으나, 번역에서는 산업재산권에 속하지 아니하는 저작권의 증권화부분(7장)을 생략했습니다.

• Journal of KIBIM
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• v.10 no.2
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• pp.1-11
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• 2020

BIM(Building Information Modeling) is a salient technology for influential innovation in the construction industry. The patent network analysis is useful for suggesting the direction of technology development and exploring the research and development field. Therefore, the purpose of this study is to analyze the BIM technology structure and core technologies according to the convergence of BIM technology and market expansion. In this study, social network analysis was conducted by establishing a co-classification IPC network for the United States BIM patent. In particular, the characteristics of the major technical areas in the BIM technology network were identified through centrality analysis. G06F017/00, digital computing or data processing method, is a core technology field in the BIM network. Arrangements, apparatus or systems for transmission of digital information, H04L029/00 is an influential technology across the network. B25J009/00 for program controlled manipulators is an intermediary technology field and G06T019/00, manipulating 3D models or images for computer graphics, is an important field for technological development competitiveness.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.443-452
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• 2018

With the explosively increasing intellectual property rights, securing technological competitiveness of companies is more and more important. In particular, since patents include core technologies and element technologies, patent analysis researches are actively conducted to measure the technological value of companies. Various patent analysis studies have been conducted by the International Patent Classification(IPC), which does not include the latest technical classification, and the technical classification accuracy is low. In order to overcome this problem, the Cooperative Patent Classification(CPC), which includes the latest technology classification and detailed technical classification, has been developed. In this paper, we propose a model to analyze the classification of the technologies included in the patent by using the detailed classification system of CPC. It is possible to analyze the inventor's patents in consideration of the relation, importance, and efficiency between the detailed classification schemes of the CPCs to extract the core technology fields and to analyze the details more accurately than the existing IPC-based methods. Also, we perform the comparative evaluation with the existing IPC based patent analysis method and confirm that the proposed model shows better performance in analyzing the inventor's core technology classification.

• Agribusiness and Information Management
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• v.6 no.1
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• pp.30-36
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• 2014

This study was conducted to determine the major patent and analyze the patent trend of unmanned and automated agricultural production for the open field operation. As a result of conducting a search for patent applications related to these technologies, 1,080 valid patents were selected by evaluating the relevance of the patents and removing noise patents. As a result of the country-based analysis using the selected valid patents, it was found out that the largest number of patent applications were filed in the United States with 541 cases, followed by Japan with 326 cases, the European Union with 128 cases, and Korea with 85 cases. Upon classifying the valid patents into core technology, the path generation and tracking technology accounts for 33% with 353 cases; the implementing control with environmental condition technology accounts for 22% with 236 cases; the robot design technology accounts for 21% with 228 cases; the plant and environment sensing technology accounts for 19% with 206 cases; the yield and quality monitoring technology accounts for 5% with 58 cases. Finally, 10 core patents were selected by performing a patent index evaluation. The United States registered all of the 10 core patents. The results showed that Korea falls behind in the open field-related unmanned and automated agricultural production, compared to other developed agricultural countries.

• Journal of Information Technology Applications and Management
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• v.28 no.4
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• pp.79-101
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• 2021

The purpose of this research is to define detailed technologies of smart city based on excellent patents through patent analysis related to major technologies of smart city, and to use quantitative indicators to classify relatively high technology importance and identify related technologies. To achieve the purpose of the study, patent collection is conducted by reflecting literature research and expert opinions based on information related to the smart city Internet of Things/Internet of Things communication core technology. Also, DEA were used to determine the relatively high technology. The inputs and outputs used in the study used quantitative indicators to determine technical value and made up of impact assessment, performance assessment and value assessment. As a result of the analysis, various technology groups were classified into smart city-related platform technologies, information sharing technologies, and network-related technologies, and based on the results of this research, it is expected that it will be able to apply technology patents related to smart cities to research and development strategies through key detailed technologies by major technologies of Smart City.