• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.41-49
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• 2019

Patents are system to promote the development of industry by disclosing technology. The importance of recent patent is being emphasized. For this reason, companies apply for many patents. And they analyze the patent. Patent analysis helps to protect and foster their technology. Previously this method has been carried out by experts. Expert-based patent analysis, however, has the disadvantage of being time-consuming and expensive. Consequently, we try to solve this problems by developing prediction model. Therefore, this paper proposes a data-based patent analysis method using quantitative indicator and textual information. We confirmed the practical applicability of the proposed method through 1,831 autonomous vehicle patents. As a result, it was possible to confirmed that safety and lane detection related technologies are important.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.317-327
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• 2020

R&D(Research and Development) efficiency analysis is a very important issue in academia and industry. Although many studies have been conducted to analyze R&D(Research and Development) efficiency since the past, studies that analyzed R&D(Research and Development) efficiency considering both patentability and patent quality efficiency according to the financial performance of a company do not seem to have been actively conducted. In this study, measuring the patent application and patent quality efficiency according to financial performance, patent quality efficiency according to patent application were applied to corporate groups related to artificial intelligence hardware technology defined as GPU(Graphics Processing Unit), FPGA(Field Programmable Gate Array), ASIC(Application Specific Integrated Circuit) and Neuromorphic. We analyze the efficiency empirically and use Data Envelopment Analysis as a measure of efficiency. This study examines which companies group has high R&D(Research and Development) efficiency about artificial intelligence hardware technology.

• 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.

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.105-128
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• 2012

This paper proposes the technological level assessment which improved reliability and the efficient noise elimination methods in the process of establishing patent map analysis data. In order to eliminate efficiently noise (removed by the manual process in the past), the paper applies the Logical Operator 'AND', makes it a program in excel VBA(Visual Basic Application), and obtains the valid data. For the improved reliability technological level assessment of the patents, the study calculates average number of claims, Patent Family Size(PFS), Cites Per Patent (CPP), Triad Patent Families, Standardization Patent Diversification Index (stdPCPI), and haF-index(Hirsch a Family index). The result which applied noise exclusion work showed less than 10% of acquired patent data ratio and confirmed high reliability. The result that apply proposed technological level assessment index makes sure that balanced technological level assessment which improved reliability by producing synthetic technological level assessment.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.5
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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.

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.971-978
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• 2014

This study investigates the developmental conditions of functional clothes for the elderly. First, preceding studies and relevant web sites were analyzed along with a survey of commercial functional elderly clothes in Korea. A KIPRIS patent information database was used to study registered and disclosed patents and utility models in order to analyze patent application trends in relevant fields. Patents were searched by year of application from 1990 to 2013. Keywords used for searching included 'senior, aged, and elderly'. Among collected data, overlapping and irrelevant data were excluded to select 162 cases for analysis. Details of analysis are annual patent application trends of functional elderly clothes, topic analysis, shape and characteristics. An examination of commercially available functional clothing products for the elderly indicated that most of products were developed in the form of inner wear or protective clothing for seniors who have bodily discomfort. An annual patent application of functional elderly clothes showed slight fluctuations; however, there was an overall increase. For patent topics, technologies related to secretion and excretion were the most at 47 cases total (29%), followed by 23 cases (14%) on biometric information technology. However, the development of relevant technologies seems necessary in the future as therapeutic function and fiber technologies gradually stagnate.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.289-294
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• 2013

Due to sudden transition to intellectual society corresponding with fast technology progress, companies and nations need to focus on development and guarantee of intellectual property. The possession of intellectual property has been the important factor of competition power. In this paper we developed the efficient patent search process with big data analysis tool R. This patent search process consists of 5 steps. We result that at first this process obtain the core patent search key words and search the target patents through search formula using the combination of above patent search key words.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.103-110
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• 2019

A patent contains detailed information of the developed technology and is published to the public. Thus, patents can be used to overcome the limitations of traditional technology trend research and prediction techniques. Recently, due to the advantages of patented analytical methodology, IP R&D is carried out worldwide. The patent is big data and has a huge amount, various domains, and structured and unstructured data characteristics. For this reason, there are many difficulties in collecting and researching patent information. Patent research generally writes the Search formula to collect patent documents from DB. The collected patent documents contain some noise patents that are irrelevant to the purpose of analysis, so they are removed. However, eliminating noise patents is a manual task of reading and classifying technology, which is time consuming and expensive. In this study, we propose a model that automatically classifies The Noise patent for efficient patent information research. The proposed method performs Patent Embedding using Word2Vec and generates Noise seed label. In addition, noise patent classification is performed using the Random forest. The experimental data is published and registered with the USPTO among the patents related to Ocean Surveillance & Tracking Network technology. As a result of experimenting with the proposed model, it showed 73% accuracy with the label actually given by experts.

• Journal of Information Technology and Architecture
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• v.11 no.4
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• pp.495-504
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• 2014

This paper present a strategy of intellectual property acquisition and core technology development direction using analysis of 2D to 3D video conversion technology patent data. As a result of analysis of trends in patent 2D to 3D technology, it is very promising technology field. Using a strategic patent map using research of patent trend, you will keep ahead of the competition in 2D3D image data conversion market.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.66-67
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• 2014

This study is to compare and analyze the technology competitiveness of Big Data sector through patent analysis. According to results of the analysis, the United States is the most active country on the patent activities and its applied and registered patents have multiplied in recent times. However, both CPP(Cited Per Patent) and PII(Patent Impact Index) of the US would have declined, indicating that the growth of technology in the US seems to be biased to quantitative growth of technologies. Korea has been relatively active patent activities with Japan, China and Canada, whereas it has tended to be biased to quantitative growth with the US; Therefore, Korea government needs to concentrate efforts to retain the high quality technologies.