• Knowledge Management Research
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• v.11 no.1
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• pp.83-96
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• 2010

In this study, the effect of firm's patent competency on the their management performance was analysed. The number of patents granted to Korean firms, patent grade score as of the firm's patent competence were considered in the perspectives of patent volume and patent value respectively. Specially the analysis were implemented focusing on the high performance venture ranked 200th in Korea. The patent source data were from the Korean Intellectual Property Office, Korean Credit Evaluation Information Company, and the Patent Evaluation System of KIPO and KIPA. And the year sales and net profit volume as of the firm's management performance data from the KIS. Management performance data are consisted of the mean sales, net profit and ROI during the 4 years from FY2005 to FY2008. Major results are as follows. The regression model were proved significantly that the year sales volume and net profit are effected by the number of patents and patent grade score. But the model including the ROI were shown not significantly. So it can be concluded that patent volume and patent value are the important factors on firm's financial performance as of the year sales volume and net profit. Also the regression model including the control variables, firm's number of employee and business year, the number of patents and patent grade score are the significant factors on firms performance. And regression coefficients of patent value model were higher than these of patent volume model. So it can be recognized that patent value of firms' patent competency are more important factor than the patent volume.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.848-851
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• 2019

이미지 형식으로 등록되는 상표의 특성상 상표의 검색에는 어려움이 따른다. 특허청은 도형 상표의 검색을 용이하게 하기 위해 상표가 포함하고 있는 구성요소에 도형분류코드를 부여한다. 하지만 도형 상표에 포함된 이미지를 확인하고 분류코드를 부여하는 과정은 사람이 직접 수행해야 한다는 어려움이 따른다. 이에 본 논문에서는 딥러닝을 이용하여 자동으로 도형 상표 내 객체를 인식하고 분류코드를 부여하는 방안을 제안한다. DenseNet을 이용하여 중분류를 먼저 예측한 후 각 중분류에 해당하는 Faster R-CNN 모델을 이용하여 세분류 예측을 수행하였다. 성능평가를 통해 비엔나분류 중분류별 평균 74.49%의 예측 정확도를 확인하였다.

• Journal of Korea Technology Innovation Society
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• v.2 no.2
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• pp.309-325
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• 1999

If we want to overcome the current IMF-guarded economic situations as early as possible and to change the present industry structure to the new knowledge-based structure, it is a great necessity to increase the capability of technology innovation as a key factor of the international competitiveness, and to establish the infrastructure of venture business for increasing utilization of technologly and patent. Even though there has been a great increase in application and enrollment of the Industrial Property Rights (i.e. IPRs) including patent recently, the number of unused IPRs are increasing progressively every year (for example, the ratio of unused patent is about 60% in 1997), and illegal use of patent and dependance on the foreign patent are increasing sharply. This paper will suggest policy on nurturing venture business for increasing utilization of the unused IPRs, including technology transaction strategy and link strategy of the high-tech industries between metro Taejon and Chungcheong Area.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.724-753
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• 2013

This paper empirically examines the effects of green technology patent on the financial performance of SMEs and venture specialized green enterprises. In particular, this paper is focused on analysing the financial performance difference by comparing the financial condition of 1st year before and 1st year after the application of green technology patent, and the one of 1st year before and 2nd year after it using sales, operating profit, net income, ratio of operating profit to net sales, and ratio of net profit to net sales. The statistical significances were accepted on sales after 1st and 2nd year, operating profit and ratio of net profit to net sales after 1st year, and ratio of operating profit to net sales after 2nd year. This paper proposes the vitalization of green consumption market, the reinforcement of green financial policy, the installation of financing windows, the improvement of unfair business conducts of large enterprises, and the reinforcement of win-win partnership between large enterpsises and SMEs as policy issues of Korean government in order to promote SMEs and venture specialized green enterprises.

• Genomics & Informatics
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• v.3 no.3
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• pp.94-97
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• 2005

We have built a database server called Patome which contains the annotation information for patented bio-sequences from the Korean Intellectual Property Office (KIPO). The aims of the Patome are to annotate Korean patent bio-sequences and to provide information on patent relationship of public database entries. The patent sequences were annotated with Reference Sequence (RefSeq) or NCBI's nr database. The raw patent data and the annotated data were stored in the database. Annotation information can be used to determine whether a particular RefSeq ID or NCBI's nr ID is related to Korean patent. Patome infrastructure consists of three components­the database itself, a sequence data loader, and an online database query interface. The database can be queried using submission number, organism, title, applicant name, or accession number. Patome can be accessed at http://www.patome.net. The information will be updated every two months.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.127-139
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• 2013

With an advent of recent knowledge-based society, the interest in intellectual property has increased. Firms have tired to result in productive outcomes through continuous innovative activity. Especially, ICT firms which lead high-tech industry have tried to manage intellectual property more systematically. Firm's interest in the patent has increased in order to manage the innovative activity and Knowledge property. The patent involves not only simple information but also important values as information of technology, management and right. Moreover, as the patent has the detailed contents regarding technology development activity, it is regarded as valuable data. The patent which reflects technology spread and research outcomes and business performances are closely interrelated as the patent is considered as a significant the level of firm's innovation. As the patent information which represents companies' intellectual capital is accumulated continuously, it has become possible to do quantitative analysis. The advantages of patent in the related industry information and it's standardize information can be easily obtained. Through the patent, the flow of knowledge can be determined. The patent information can analyze in various levels from patent to nation. The patent information is used to analyze technical status and the effects on performance. The patent which has a high frequency of citation refers to having high technological values. Analyzing the patent information contains both citation index analysis using the number of citation and network analysis using citation relationship. Network analysis can provide the information on the flows of knowledge and technological changes, and it can show future research direction. Studies using the patent citation analysis vary academically and practically. For the citation index research, studies to analyze influential big patent has been conducted, and for the network analysis research, studies to find out the flows of technology in a certain industry has been conducted. Social network analysis is applied not only in the sociology, but also in a field of management consulting and company's knowledge management. Research of how the company's network position has an impact on business performances has been conducted from various aspects in a field of network analysis. Social network analysis can be based on the visual forms. Network indicators are available through the quantitative analysis. Social network analysis is used when analyzing outcomes in terms of the position of network. Social network analysis focuses largely on centrality and structural holes. Centrality indicates that actors having central positions among other actors have an advantage to exert stronger influence for exchange relationship. Degree centrality, betweenness centrality and closeness centrality are used for centrality analysis. Structural holes refer to an empty place in social structure and are defined as efficiency and constraints. This study stresses and analyzes firms' network in terms of the patent and how network characteristics have an influence on business performances. For the purpose of doing this, seventy-four ICT companies listed in S&P500 are chosen for the sample. UCINET6 is used to analyze the network structural characteristics such as outdegree centrality, betweenness centrality and efficiency. Then, regression analysis test is conducted to find out how these network characteristics are related to business performance. It is found that each network index has significant impacts on net income, i.e. business performance. However, it is found that efficiency is negatively associated with business performance. As the efficiency increases, net income decreases and it has a negative impact on business performances. Furthermore, it is shown that betweenness centrality solely has statistically significance for the multiple regression analysis with three network indexes. The patent citation network analysis shows the flows of knowledge between firms, and it can be expected to contribute to company's management strategies by analyzing company's network structural positions.

• International Commerce and Information Review
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• v.18 no.3
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• pp.249-273
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• 2016

Recently companies consider the patent activity as one of the critical factor for success in global economy even though one of the enterprise's competitiveness factor was productivity in past industry economy. Since there are so many patent dispute globally in IT industry, it is very important for companies to register and manage patents strategically. Therefore, this research analyze relationship between Financial result and 3 patent activity factors like productivity, effectiveness, and high-quality by investigating patent and financial data of 217 Korean IT enterprises. This paper get the following results after building research model and hypothesis based on resource-based theory and analysing the data sets using multiple regression model. First, effectiveness and high-quality of patents showed positive(+) effect on growth of total assets of IT enterprises. Second, three factors of patent activities do not have significant results with average increase rate of sales. Third, only high-quality of patents have positive(+) effect on average increase rate of net income. The differentiation factor of this research is that this paper categorized patent activity factors as quantitative and qualitative factors, and practically suggested strategic direction of patent activities of IT companies which face serious patent distribute globally.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.5
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• pp.55-72
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• 2016

This study aims at providing a methodology for retaining international technology competitiveness, marketable industry, and sustainable promising technology in a field of new growth engine industry such as national unmanned aerial vehicle industry. We draw a result by analysing with tools such as KrKwic, Excel, NetMiner, presenting methods of a Social Network Analysis, sub-group analysis, and cognitive map analysis based on patent data in a field of unmanned aerial vehicle industry. As a result, some future promising technologies are prospected as what worths concentrated investment, such as 'pilot control tech', 'identification of friend or foe tech'.

• Journal of Korea Technology Innovation Society
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• v.9 no.1
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• pp.1-25
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• 2006

Technological innovation is being recognized as a core capability of competitive advantage for sustainable growth of a company. In this regard, lots of research activities have been conducted on technological innovation and performance at firm level. Ihis study empirically investigates those relationship with cross-sectional and time-series data according to firm-specific characteristics along industry. Patent intensity, R&D intensity, and intangible asset intensity smoothing by firm size are used as proxy measures for explanation of performance with net income per employee. As a result with 162 high-tech firms for 11 years, it was found that high performances were positively related to patent and R&D intensity. Also, firms classified into 8 categories based on firm-specific technological innovation characteristics show difference upon performances. To sum up, firms that have high patent and R&D intensity demonstrate high performance compared to other firms.

• Journal of Aerospace System Engineering
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• v.13 no.6
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• pp.80-89
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• 2019

Prospecting future social environmental changes and improvement research on future technologies is required for prospecting promising technology, as it would be useful for institution·company to set up technical planning. This study aims at providing a methodology for retaining international technology competitiveness, marketable industry, and sustainable promising technology in a field of new growth engine industry such as national unmanned aerial vehicle industry. We draw a result by analysing with tools such as KrKwic, Excel, NetMiner, presenting methods of a Social Network Analysis, sub-group analysis, and cognitive map analysis based on patent data in a field of unmanned aerial vehicle industry. Therefore, this study explored the technology evolution of UAV and to prospect promising technology. As a result, some future promising technologies are prospected as what worths concentrated investment, such as 'system integration tech', 'assessment/airworthiness certification tech', 'avionics', 'pilot control tech', 'identification of friend or foe', 'flight control tech', 'supportive equipment'.