• 산업경영시스템학회지
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• 제46권4호
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• pp.15-31
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• 2023

In this study, we propose a novel approach to analyze big data related to patents in the field of smart factories, utilizing the Latent Dirichlet Allocation (LDA) topic modeling method and the generative artificial intelligence technology, ChatGPT. Our method includes extracting valuable insights from a large data-set of associated patents using LDA to identify latent topics and their corresponding patent documents. Additionally, we validate the suitability of the topics generated using generative AI technology and review the results with domain experts. We also employ the powerful big data analysis tool, KNIME, to preprocess and visualize the patent data, facilitating a better understanding of the global patent landscape and enabling a comparative analysis with the domestic patent environment. In order to explore quantitative and qualitative comparative advantages at this juncture, we have selected six indicators for conducting a quantitative analysis. Consequently, our approach allows us to explore the distinctive characteristics and investment directions of individual countries in the context of research and development and commercialization, based on a global-scale patent analysis in the field of smart factories. We anticipate that our findings, based on the analysis of global patent data in the field of smart factories, will serve as vital guidance for determining individual countries' directions in research and development investment. Furthermore, we propose a novel utilization of GhatGPT as a tool for validating the suitability of selected topics for policy makers who must choose topics across various scientific and technological domains.

• 경영과학
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• 제28권2호
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• pp.63-74
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• 2011

As business environment has become more competitive, the R&D strategies of firms have been regarded more important. Patent has information about technology which affects a firm's profit and it is considered as resources which have provided appropriate data for research of innovations and trends in technology. And patent indicators are known as qualitative representation of technology quality in an objective view. Also, they are available for the continuous and systematic analysis. However, most previous studies have focused on developing patent indicators to investigate patent value and characteristics. Furthermore they have limitations that most results is not significant that patent indicators have effect on firm performance-Tobin's q, Intangible assets based on balance sheet, sales and etc. Thus, the purpose of this paper is to propose proper a factor to represent a firm performance and to analyze causal relationship between patent indicators and firm performance. Intangible assets based on market value are employed as one of most significant firm performance indicator. The results indicate that intangible assets are appropriate for analyzing causal relation between patent and a firm performance with 7 significant indicators among 10 patent indicators. Considering firm's exogenous factors, regression analysis of each data for five years is performed. This result is similar to regression analysis of full data for all years.

• 경영과학
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• 제24권2호
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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.

• 한국정보통신학회논문지
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• 제19권6호
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• pp.1499-1505
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• 2015

본 연구는 국제특허분류(IPC) 코드 기반의 특허 기술내용 분류를 통해 관련 기업과 기술의 특허 정보 분석에 관한 연구로 국내 최대 인터넷 기업인 네이버주식회사의 전자상거래(G06Q) 분야 출원 902건을 대상으로 하였다. 먼저 IPC 코드별 출원 및 등록건수를 조사하여 핵심 기술 분야와 특허 출원 현황을 분석하였다. 또한 IPC 코드의 주분류-부분류 상호 연결성을 조사하여 기술 융복합을 조사하였다. 마지막으로 연도별 IPC 코드별 출원 현황을 조사하여 특허 기술 변화를 살펴보았다. 본 연구에서 활용한 IPC 코드 기반 특허 정보 분석을 통해 기업과 기술의 트렌드를 보다 심층적으로 예측할 수 있다.

• 한국산학기술학회논문지
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• 제21권12호
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• pp.107-114
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• 2020

기계, 디자인, 중공업 분야에서 많이 사용되어오던 역설계 기법이 최근 건설 산업분야에 BIM(Building Information Modeling) 기반 역설계 기법인 Scan-to-BIM 기술로 적극적으로 도입되기 시작하였으며, 그동안 비효율적인 부분들을 개선하기 위한 알고리즘, 시스템, 장비 등의 개발이 이루어지면서 기술의 확장성이 더욱 커지고 있다. 본 연구에서는 객관적인 자료에 근거한 특허 분석을 통하여 한국, 미국, 유럽, 일본의 Scan-to-BIM 관련 기술 동향을 파악하여 한국 Scan-to-BIM 기술의 올바른 방향을 모색하고자 한다. 건설 산업기술 특허분석관련 선행 연구 분석, Scan-to-BIM 기술에 대한 이론적 고찰과 관련 선행연구 고찰, WIPSON 특허검색시스템을 사용한 한국, 미국, 유럽, 일본 네 국가의 관련 기술에 대한 공개된 특허 문헌을 검색하여 정보를 수집, 검증과정 및 유효 특허 추출이 이루어졌으며, 도출된 유효 특허 데이터를 이용하여 특허출원 연도별 동향, 국가별 동향, 그리고 국제특허분류(IPC: International Patent Classification) 코드를 통한 기술별 동향, 상위 20위 주요출원인 및 출원 주체 종류, 패밀리 특허 동향 등을 분석하였다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1999년도 추계종합학술대회
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• pp.53-59
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• 1999

최근의 정보통신 관련 표준화 활동에 있어서 특허권의 조화 문제를 위하여 특허POOL이 활성화되고 있는 추세이다 본 고에서는 이러한 표준화와 관련된 특허POOL의 최근 주요한 사례들을 집중적으로 다루어 보았다. 특허POOL 팔용 사례들을 다룸으로써 특허POOL의 여러가지 실제적인 의미들을 진단할 수 있을 것으로 본다. 본 고에서는 특허POOL의 형성 특성별로 전형적인 구축 사례로서 조직적 규모를 갖춘 전문적인 관리 기구인 MPEG LA(Moving Picture Experts Croup Licensing Administrator)의 설립을 통하여 운영됨으로써 특허POOL 구축의 선구적 효시가 되고 있는 MPEC-2 특허POOL과 특허POOL이 분열된 유형인 DVD 특허POOL, 기업 외세에 의하여 형성된 유형인 IEEE1394 특허POOL, 그리고 이동통신 기술 분야의 UMTS(Universal Mobile Telecommunications System)에서 형성되고 있는 특허POOL을 분석하여 소개한다

• Industrial Engineering and Management Systems
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• 제13권1호
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• pp.107-115
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• 2014

Offshore wind power has been extremely popular in recent years, and in the energy technology field, relevant research has been increasingly conducted. However, research regarding patent portfolios is still insufficient. The purpose of this research is to study the status of mainstream offshore wind power technology and patent portfolios and to investigate major assignees and countries to obtain a thorough understanding of the developmental trends of offshore wind power technology. The findings may be used by the government and industry for designing additional strategic development proposals. Data mining methods, such as multiple correspondence analyses and k-means clustering, were implemented to explore the competing technological and strategic-group relationships within the offshore wind power industry. The results indicate that the technological positions and patent portfolios of the countries and manufacturers are different. Additional technological development strategy recommendations were proposed for the offshore wind power industry.

• 한국정보전자통신기술학회논문지
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• 제15권5호
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• pp.413-422
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• 2022

농업의 고질적인 인력 부족과 고령화 문제를 해결하는 방안 중 스마트 팜은 크게 주목받고 있다. 6차 산업혁명이라고 불리는 스마트 팜 산업은 경쟁력의 강화가 필요하다. 혁신 가능한 IT 기술을 농업에 접목하기 위해 선행적인 연구나 특허에 대한 정보 수집 및 분석은 중요하다. 본 논문은 국내 특허정보검색서비스(KIPRIS)를 이용하여 스마트 팜에 관련된 5,789건의 특허데이터를 통해 스마트 팜 특허 동향을 살펴본다. 키워드 네트워크, 에고 네트워크, 동시 출현 네트워크, 바이그램 네트워크 분석 등을 통해 스마트 팜 정보의 국내 특허 동향을 알아본다. 스마트 팜 특허 관련 네트워크 분석 결과, 스마트 팜 시스템을 이용하거나 시스템 제어 기술과 관련된 특허가 가장 많았다. 본 논문은 향후 스마트 팜 관련 특허 연구 방향 설정에 있어 도움을 제공할 수 있다.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2007년도 추계학술대회 논문집
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• pp.35-35
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• 2007

The roll printing technique is the updated technology which will substitute a existing lithography technique for a field of the display such as LCD, PDP, OLED and FED etc. Currently, the patent trend analysis about research and development of the different enterprises are demanded, because it is forecast that the dominion of display market will be exchanged by research and development result of roll-printing technique. In this presentation, it is analyzed on patent trends applied the roll printing technique for a field of the display such as LCD, PDP, OLED and FED etc in Korea and Japan by the various methods.

• 한국산업융합학회 논문집
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• 제25권5호
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• pp.817-826
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• 2022

Patent information describes the history of technological progress in the relevant field, so it can be usefully used to identify trends in technological development and change and to establish R&D development strategies. This study proposes a method to identify the needs and problems of technology development at the planning stage of the R&D process and to analyze core technologies through patent analysis using Natural Language Processing(NLP) technology. As a big data source, collected patent documents registered in Google Patents for foldable technology, the latest technology in the display industry, and then extracted keywords using NLP analyzer. By classifying the extracted keywords into needs and problems for technology development, developed technology and materials, identified the needs of the market and customers and analyzed the technologies being researched and developed. Unlike previous studies that performed patent analysis, this methodology is different in that it can quickly and conveniently analyze the latest technology trends from big data called patents even if you do not have specialized knowledge and skills in the text mining. This study contributes to the digitalization of the R&D process based on data analysis.