• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.171-193
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• 2008

Every country of the world in the 21st century is going to push forward the policy protecting their intellectual property right, and international movement to protect their intellectual right is still more strengthened. Under these situations, the firm is required to seek for more efficient methods of technology security and business management while the existence of business itself is at risk. The control of intellectual properties in business should be considered in the patent management. In the company, the industrial property right should be into one of the management resource, and its importance has great influence on the existence of the company. The information in patent data can be used for strategic planning purposes. This study systematically evaluates the patenting behaviour of sample of 27 business firms within the Korean metal industry. Utilizing the patent application data between 2000 and 2005, the relationship between these patenting management and company performance is analysed. This study showed that patent activity per employee and labor productivity are positive relationship, but patent activity per employee and firm size are negative relationship. Since a positive relationship between patenting and company performance could be shown, patent activity gains important as a instrument for R&D planning.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.15-23
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• 2022

In the field of patents, as NLP(Natural Language Processing) is a challenging task due to the linguistic specificity of patent literature, there is an urgent need to research a language model optimized for Korean patent literature. Recently, in the field of NLP, there have been continuous attempts to establish a pre-trained language model for specific domains to improve performance in various tasks of related fields. Among them, ELECTRA is a pre-trained language model by Google using a new method called RTD(Replaced Token Detection), after BERT, for increasing training efficiency. The purpose of this paper is to propose KorPatELECTRA pre-trained on a large amount of Korean patent literature data. In addition, optimal pre-training was conducted by preprocessing the training corpus according to the characteristics of the patent literature and applying patent vocabulary and tokenizer. In order to confirm the performance, KorPatELECTRA was tested for NER(Named Entity Recognition), MRC(Machine Reading Comprehension), and patent classification tasks using actual patent data, and the most excellent performance was verified in all the three tasks compared to comparative general-purpose language models.

• TTA Journal
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• s.173
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• pp.106-109
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• 2017

LED 조명의 가시광에 데이터를 담아 보내는 가시광 통신(VLC) 기술 특허출원이 2009년 이후 가파르게 상승하고 있는 추세이다. 빛(Light)과 와이파이(Wi-Fi)를 합쳐 이른바 라이파이(Li-Fi, Light Fidelity)라고도 부르는 이 기술은 백만 분의 1초 간격으로 LED 조명을 켜고 끄는 것을 반복하여 데이터를 교환한다. 국내에서는 (주)유양디앤유가 2013년 이마트와 협력해 쇼핑 관련 VLC 기술을 적용한 시범 사업을 한 바 있다. (주)유양디앤유는 VLC 기술의 노하우를 바탕으로 미래 기술로 각광받고 있는 IoT를 접목해 사업을 다각화하고자 하였다. 이를 위해, 관련된 특허를 개발하고 국제 표준으로 제안하기 위해 TTA에 도움을 요청했다. TTA는 자문서비스와 함께 표준특허 인큐베이팅 사업을 연계하여 (주)유양디앤유를 지원하였다. 이를 통해 IoT를 접목한 VLC 무선 통신 국내 특허와 PCT 국제출원이 동시에 진행되는 성과를 거두었다.

• Review of KIISC
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• v.33 no.3
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• pp.97-101
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• 2023

양자컴퓨터의 개발이 가속화됨에 따라 기존의 공개키 암호에서 양자내성암호로 시급하게 전환해야 하는 상황이다. 이러한 상황을 가장 신속하게 대응하고 있는 미국은 NIST를 통해 양자내성암호로의 전환을 위한 표준화를 진행하고 있으며, 표준화 대상 알고리즘까지 선정한 상황이다. 그 외 일본, 중국, 및 유럽의 각국도 양자내성암호 기술을 확보하기 위해 많은 투자를 하고 있다. 본 고에서는 양자내성암호의 국적 및 세부기술별 특허출원 동향을 살펴보고, 나아가 양자내성암호의 구현특허 출원 동향도 함께 분석한다.

• The Journal of the Korea Contents Association
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• v.9 no.2
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• pp.125-132
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• 2009

The paradigm of economy has been transformed into knowledge based economic paradigm in 21th century. Analysis of patent trend is one of the strategic methods for increasing their patent competitive power. However, this method is just presenting statistical data about patent trend or qualitative analysis about some core technology. In this paper, we forecast technology diffusion using patent information for more progressive analysis. We make an experiment with bass model and logistic model and make use of patent data about information-security technology for NCW as input data. We conclude that the logistic model is more efficient for forecasting and this technology is approaching to the age of technology maturity.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.1-15
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• 2022

This study analyzes the relationship of citations appearing in the patent data to understand knowledge transfers and impacts between patent documents in the field of pharmaceutical research. Patent data were collected from a website, Google Patents. The top 25 assignees were selected by searching for patent documents related to pharmaceutical research. We identify the citation relationships between assignees, then calculate and compare the values of h-index and derived indicators by using the number of citations and rank for each document of each assignee. As a result, in the case of pharmaceutical research, the assignee, such as 'Pfizer, MIT, and Abbott' shows a high impact. Among the five bibliometric indicators, the g-index and hS-index show similar results, and the indicators are the most related to the rankings of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In addition, it is highly related to the five indicators in the order of Total Citation Frequency, Cites per Patents, and Maximum Citation Frequency. In some cases, it is difficult to make an accurate comparison with Cites per Patents alone, which is previously known to indicate the technological influence of patent assignees.

• Journal of the Korea Society of Computer and Information
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• v.25 no.3
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• pp.109-115
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• 2020

In this paper, we propose an artificial intelligence(AI) technology analysis using partial least square(PLS) regression model. AI technology is now affecting most areas of our society. So, it is necessary to understand this technology. To analyze the AI technology, we collect the patent documents related to AI from the patent databases in the world. We extract AI technology keywords from the patent documents by text mining techniques. In addition, we analyze the AI keyword data by PLS regression model. This regression model is based on the technique of partial least squares used in the advanced analyses such as bioinformatics, social science, and engineering. To show the performance of our proposed method, we make experiments using AI patent documents, and we illustrate how our research can be applied to real problems. This paper is applicable not only to AI technology but also to other technological fields. This also contributes to understanding other various technologies by PLS regression analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.471-479
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• 2020

In this paper, we analyze features of radical innovative businesses using their patents. Although patents have been used to evaluate outcomes of businesses from the 1980s, it is challenging to use patents for radical innovations. We examined the possibility of taking advantage of patents for an indicator that represents a radical innovation in pharmaceutical industry. To this end, we collected FDA approval data from the U.S. Food and Drug Administration and patent data of 18 pharmaceutical companies. For analysis, we utilized the network centrality analysis and Wilcoxon signed ranked test, which is a non-parametric statistical hypothesis test used to compare two related samples. We observed that a radical innovative company typically cooperates with other research groups, such as universities and companies, and acts as a hub for connectivity in pharmaceuticals. Also, we found that there are differences in centrality between radical firms and non-radical firms. Thus, we expect that the results of this study will help in developing strategies for research and development of pharmaceutical companies and identifying factors affecting radical innovation in the future.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.231-239
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• 2017

Solar energy is attracting attention as an alternative to fossil fuels. However, there was a lack of discussion on the overall research direction and future direction of research in technology development. In order to develop more effective technology, we analyzed and discussed the technology trend of solar energy using patent data and thesis data. As an analysis method, topics were selected by using topic modeling and text mining, the increase of included keywords was analyzed, and the direction of development of solar technology was analyzed. Research on solar power generation technology is expected to proceed steadily, and it is analyzed that intensive research will be done especially on high efficiency and high performance technology. Future studies could be conducted by adding overseas patent data and various paper data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.8
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• pp.1049-1054
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• 2018

Keyword searching used in the past as a method of finding similar patents, and automated classification by machine learning is using in recently. Keyword searching is a method of analyzing data that is formalized through data refinement. While the accuracy for short text is high, long one consisted of several words like as document that is not able to analyze the meaning contained in sentences. In semantic analysis level, the method of automatic classification is used to classify sentences composed of several words by unstructured data analysis. There was an attempt to find similar documents by combining the two methods. However, it have a problem in the algorithm w the methods of analysis are different ways to use simultaneous unstructured data and regular data. In this paper, we study the method of extracting keywords implied in the document and using the LDA(Latent Semantic Analysis) method to classify documents efficiently without human intervention and finding similar patents.