• Korean Chemical Engineering Research
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• v.54 no.3
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• pp.332-339
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• 2016

We evaluate the technical competitiveness of Korea in lubricating oil industries by comparatively analyzing the patent activities. In achieving the goal, we collect and statistically analyze the historical patent data of lubricants production technologies. We here consider nine technology groups classified by their raw material types and process features of four countries such as USA, Japan, EU and Korea. We then evaluate Korea's competitiveness in lubricating oil industries using different patent index including patent family size, cites per patent, patent impact index and technology strength. Based on the evaluation results, we finally propose the practical strategies to improve Korea's competitiveness in lubricants industries.

• Korean Journal of Plant Resources
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• v.30 no.4
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• pp.466-474
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• 2017

The Omija (Schizandra chinensis Baillon) is a fruit native to northeast Asia that is cultivated in South Korea and China. Using 1,938 valid patents of 6 group countries, we analyzed the patent trend based on year, countries, applicants, and technology. The technologies are categorized the 10 sub-technologies such as medicine, quasi-drugs, food, feed, cosmetics, cultivation, genome, manufacture, preprocessing, and etc. The technology level and competitiveness are analyzed using patent index such as cites per patent, patent impact index, patent family size and technology strength. In Korea, patent number rapidly increasing and individual technical level is lower than other countries. However, overall technical competitiveness is estimated high due to multiple patents. We suggest that cosmetics and cultivation fields are most likely to be developed in future omiza technology development in Korea. Our study will provides to the information of technical trend to support performing of new projects for Omija plant.

• Journal of Technology Innovation
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• v.14 no.2
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• pp.183-199
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• 2006

This paper explores multi-technology capabilities between Korea and Taiwan by analyzing the pattern of inventive activities concerning technology fusion by using patent bibliometrics. Although two countries exhibit a similar level of invention activities and high degree of specialization in emerging technologies measured by the number and technological fields of their US patents, innovation systems in two countries differ. MTCs (multi-technology corporations) are stronger in Korea national innovation system while small innovative firms play important roles in Taiwan national innovation system. Technology fusion has been an important source of technological innovation and it suggests possible advantage for the Korean innovation system because it is a common belief that global size firms - most of them are multi-technology corporations - can perform better in multi-technology fusion and scientific research. The result of patent bibliometrics suggests rather complex answers to the belief Even though Korea shows slight advantage, it may not be ascribed to the large MTCs.

• Journal of Korea Technology Innovation Society
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• v.8 no.2
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• pp.860-885
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• 2005

This study relates to develop a quantitative method through which promising technology-based business items can be discovered and selected. For this study, we utilized patent trend analysis, technology-industry concordance analysis, and keyword co-occurrence analysis of US patents. By analyzing patent trends and technology-industry concordance, we were able to find out the emerging industry trends : prevalence of bio industry, service industry, and B2C business. From the direct and co-occurrence analysis of newly discovered patent keywords in the year, 2000, 28 promising business item candidates were extracted. Finally, the promising item candidates were prioritized using 4 business attractiveness determinants; market size, product life cycle, degree of the technological innovation, and coincidence with the industry trends. This result implicates that reliable discovery and selection of promising technology-based business items can be performed by a quantitative, objective and low- cost process using knowledge discovery method from patent database instead of peer review.

• Journal of the Korea Convergence Society
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• v.9 no.2
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• pp.251-257
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• 2018

As the use of big data is necessary for increasing business value, the size of the big data market is getting bigger. Accordingly, it is important to apply competitive patents in order to gain the big data market. In this study, we conducted the patent analysis based keyword network to analyze the trend of big data patents. The analysis procedure consists of big data collection and preprocessing, network construction, and network analysis. The results of the study are as follows. Most of big data patents are related to data processing and analysis, and the keywords with high degree centrality and between centrality are "analysis", "process", "information", "data", "prediction", "server", "service", and "construction". we expect that the results of this study will offer useful information in applying big data patent.

• 한국벤처창업학회:학술대회논문집
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• 2006.04a
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• pp.77-104
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• 2006

Utilizing the patent application data between 1997 and 2002, this study focuses on analysing the impact of patents on firm value. Especially we attempt to examine the difference of patents between venture firms and general firms. This paper first shows that the number of the patent applications of general firms listed on the securities market are more than those of venture firms listed on KOSDAQ. It is thought that this result is originated from facts that the size of firms of the securities market is usually bigger than the firms of KOSDAQ and that these large firms could manage R&D more efficiently. Second, this paper reports that there is no difference in the ratio of patent maintenance between venture firms and general firms. Both venture firms and non-venture firms would do their best to keep their patents after patent regisration. Third, in the regression of patent index and firm growth, we find that the excellence of patent and the number of patents per employee would have an impact on the growth of firms. Fourth, the regression of patent index and profitability shows that the excellence and the number of patents per employee might have an effect on the profitability of firms.

• The Journal of the Korea Contents Association
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• v.7 no.9
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• pp.117-126
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• 2007

The purpose of this paper is to analyze the trends of technological development in the field of portable multimedia player (PMP) through patent information of major countries, and evaluate the technological Position of PMP. In the first place, we will carry out a quantitative analysis in terms of the annual trend of patent applications in the field of PMP, the technological position of PMP through portfolio analysis, the share of patents by applicant, the worldwide innovation leader of major countries, and the patent trend by IPC. Secondly, we will measure the technological level of PMP using indicators including cites per patent (CPP), science linkage (SL), and patent family size (PFS). Finally, we will evaluate the directions of research or technology development and the technological competitiveness of major countries. This evaluation could give us some useful policy implications on the strategy of R&D in PMP.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.227-240
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• 2011

New concepts and ideas often result from extensive recombination of existing concepts or ideas. Both researchers and developers build on existing concepts and ideas in published papers or registered patents to develop new theories and technologies that in turn serve as a basis for further development. As the importance of patent increases, so does that of patent analysis. Patent analysis is largely divided into network-based and keyword-based analyses. The former lacks its ability to analyze information technology in details while the letter is unable to identify the relationship between such technologies. In order to overcome the limitations of network-based and keyword-based analyses, this study, which blends those two methods, suggests the keyword network based analysis methodology. In this study, we collected significant technology information in each patent that is related to Light Emitting Diode (LED) through text mining, built a keyword network, and then executed a community network analysis on the collected data. The results of analysis are as the following. First, the patent keyword network indicated very low density and exceptionally high clustering coefficient. Technically, density is obtained by dividing the number of ties in a network by the number of all possible ties. The value ranges between 0 and 1, with higher values indicating denser networks and lower values indicating sparser networks. In real-world networks, the density varies depending on the size of a network; increasing the size of a network generally leads to a decrease in the density. The clustering coefficient is a network-level measure that illustrates the tendency of nodes to cluster in densely interconnected modules. This measure is to show the small-world property in which a network can be highly clustered even though it has a small average distance between nodes in spite of the large number of nodes. Therefore, high density in patent keyword network means that nodes in the patent keyword network are connected sporadically, and high clustering coefficient shows that nodes in the network are closely connected one another. Second, the cumulative degree distribution of the patent keyword network, as any other knowledge network like citation network or collaboration network, followed a clear power-law distribution. A well-known mechanism of this pattern is the preferential attachment mechanism, whereby a node with more links is likely to attain further new links in the evolution of the corresponding network. Unlike general normal distributions, the power-law distribution does not have a representative scale. This means that one cannot pick a representative or an average because there is always a considerable probability of finding much larger values. Networks with power-law distributions are therefore often referred to as scale-free networks. The presence of heavy-tailed scale-free distribution represents the fundamental signature of an emergent collective behavior of the actors who contribute to forming the network. In our context, the more frequently a patent keyword is used, the more often it is selected by researchers and is associated with other keywords or concepts to constitute and convey new patents or technologies. The evidence of power-law distribution implies that the preferential attachment mechanism suggests the origin of heavy-tailed distributions in a wide range of growing patent keyword network. Third, we found that among keywords that flew into a particular field, the vast majority of keywords with new links join existing keywords in the associated community in forming the concept of a new patent. This finding resulted in the same outcomes for both the short-term period (4-year) and long-term period (10-year) analyses. Furthermore, using the keyword combination information that was derived from the methodology suggested by our study enables one to forecast which concepts combine to form a new patent dimension and refer to those concepts when developing a new patent.

• Electronics and Telecommunications Trends
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• v.36 no.3
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• pp.119-132
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• 2021

To accommodate various mobile communication frequency bands, the study of metamaterial antennas have begun since the mid-2000s to solve the Trilemma problem between antenna gain-occupied bandwidth-size. As an adaptive reconfiguration function is required in a multi-array antenna system since 4G, the metamaterial array antenna using low-power variable elements has been used to change the basic structure of the antenna. Recently, reconfigurable intelligent surface (RIS), which is made of metasurface with reconfigurability, has been studied to effectively cope with the randomly varying radio channels and be used for various purposes such as reflection/transmission/modulation. As a result of RIS-related patent information analysis in this study, it was confirmed that most of the patents are metamaterial antennas and metamaterial array antennas, but the metasurface antenna technology was in the early stages. Particularly, as the intelligent metasurface antenna is in a more initial stage, the investment to R&D of RIS is urgent to secure patent competitiveness in B5G and 6G.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.6
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• pp.437-454
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• 2021

This study investgates Korean water technology through the water market perspective and analyses its competitiveness. Based on the water technology classification, water technology competitiveness is analysed through the technological influence index and market dominance index which are based on the extracted water technology patents from the US, Europe, Korea, and Japan for the last decade. As a result, the Korean water technology patents were lack in influence and competitiveness in global market considering the large volume of patents. There are two most tech-influential industries in Korea; manufacturing industry consisting pipes, sterilization, disinfection, and advanced water purification equipment, and construction industry including seawater desalination and water resource development. Due to the domestic usage of the patents, the Korean water technology patents scored low in global market PFS(Patent Family Size) index compared to their CPP(Cites Per Patent) index. The study is meaningful in a way that the analysis on Korean water technology competitiveness using water technology classification system and patent analysis was conducted based on the perspective of the global water market.