Proceedings of the Korean Institute of Navigation and Port Research Conference
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v.2
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pp.377-381
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2006
This paper identifies GNSS education and training program under Geomatic field of study. GNSS education programs is evaluated $vis-{\grave{a}}-vis$ new-products. Data on Geomatic knowledge generation in the era of the GNSS derivatives over the 1975 - 2003 period are examined. The emerging trends and patterns; in particular for selected Asian nations will be dissected in detail. The knowledge indicator used in this study is the patent ownership against the background of emergence of new core technologies and innovations in the field of GNSS. Looking at the dismal performance of Geomatic professionals in terms of innovative activities in most part of Asian and Malaysia in particular, is it there is something that holding up these professionals from doing so? With our universities and numerous polytechnics offering Geomatic program, more is expected from them. Is it a problem of lack or inadequacy of skills? Or is it these professionals are too busy and being narrowly focused on doing something else?
Jinho, Kim;Jaiill, Lee;Eunyoung, Yang;Seokjoong, Kang
KSII Transactions on Internet and Information Systems (TIIS)
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v.17
no.1
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pp.31-50
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2023
In the midst of dynamic industrial changes, companies need data analysis considering the effects of integration of various technologies in order to establish innovative R & D strategies. However, the existing technology forecasting model evaluates individual technologies without considering relationship among them. To improve this problem, this study suggests a new methodology reflecting the integration of technologies. In the study, a technology forecasting indicator was developed using the technology integration index based on social network analysis. In order to verify the validity of the proposed methodology, 'drone task performance technology' based on patent data was applied to the research model. This study aimed to establish a theoretical basis to design a research model that reflects the degree of integration of technologies when conducting technology forecasting research. In addition, this study is meaningful in that it quantitatively verified the proposed methodology using actual patent data.
In fostering dynamic, innovative SMEs, hidden champion companies can be an appropriate model for SMEs to learn the success factors. On the other hand, the need for intellectual property management is becoming important as the value of a company is changing from a financial asset to an intellectual property. Therefore, in this study, the patent portfolio analysis of the hidden champion companies mentioned in Herman Simmon's book "Hidden Champion" was performed. As a result of the analysis, it was confirmed that patents are not possessed or patent activities are actively carried out and a differentiated intellectual property management strategy is implemented to improve patent quality depending on the characteristics of the technology possessed. The results of these studies can be used as basic data to prepare an intellectual property management strategy for companies that want to create opportunities to acquire monopoly rights and reduce patent maintenance and management costs. In addition, in this study, the patent IPC analysis verified that Herman Simmon's claim that "Hidden champions have the ability to focus on core competencies and focus on one technology" is valid.
Park, Jun Hyung;Kwahk, Kee-Young;Han, Heejun;Kim, Yunjeong
Journal of Intelligence and Information Systems
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v.19
no.4
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pp.21-37
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2013
Recently, as the advent of the knowledge-based society, there are more people getting interested in the intellectual property. Especially, the ICT companies leading the high-tech industry are working hard to strive for systematic management of intellectual property. As we know, the patent information represents the intellectual capital of the company. Also now the quantitative analysis on the continuously accumulated patent information becomes possible. The analysis at various levels becomes also possible by utilizing the patent information, ranging from the patent level to the enterprise level, industrial level and country level. Through the patent information, we can identify the technology status and analyze the impact of the performance. We are also able to find out the flow of the knowledge through the network analysis. By that, we can not only identify the changes in technology, but also predict the direction of the future research. In the field using the network analysis there are two important analyses which utilize the patent citation information; citation indicator analysis utilizing the frequency of the citation and network analysis based on the citation relationships. Furthermore, this study analyzes whether there are any impacts between the size of the company and patent citation relationships. 74 S&P 500 registered companies that provide IT and communication services are selected for this study. In order to determine the relationship of patent citation between the companies, the patent citation in 2009 and 2010 is collected and sociomatrices which show the patent citation relationship between the companies are created. In addition, the companies' total assets are collected as an index of company size. The distance between companies is defined as the absolute value of the difference between the total assets. And simple differences are considered to be described as the hierarchy of the company. The QAP Correlation analysis and MR-QAP analysis is carried out by using the distance and hierarchy between companies, and also the sociomatrices that shows the patent citation in 2009 and 2010. Through the result of QAP Correlation analysis, the patent citation relationship between companies in the 2009's company's patent citation network and the 2010's company's patent citation network shows the highest correlation. In addition, positive correlation is shown in the patent citation relationships between companies and the distance between companies. This is because the patent citation relationship is increased when there is a difference of size between companies. Not only that, negative correlation is found through the analysis using the patent citation relationship between companies and the hierarchy between companies. Relatively it is indicated that there is a high evaluation about the patent of the higher tier companies influenced toward the lower tier companies. MR-QAP analysis is carried out as follow. The sociomatrix that is generated by using the year 2010 patent citation relationship is used as the dependent variable. Additionally the 2009's company's patent citation network and the distance and hierarchy networks between the companies are used as the independent variables. This study performed MR-QAP analysis to find the main factors influencing the patent citation relationship between the companies in 2010. The analysis results show that all independent variables have positively influenced the 2010's patent citation relationship between the companies. In particular, the 2009's patent citation relationship between the companies has the most significant impact on the 2010's, which means that there is consecutiveness regarding the patent citation relationships. Through the result of QAP correlation analysis and MR-QAP analysis, the patent citation relationship between companies is affected by the size of the companies. But the most significant impact is the patent citation relationships that had been done in the past. The reason why we need to maintain the patent citation relationship between companies is it might be important in the use of strategic aspect of the companies to look into relationships to share intellectual property between each other, also seen as an important auxiliary of the partner companies to cooperate with.
This study draws implications by surveying and analyzing performance evaluation cases in Korea and overseas, and analyzes qualitative and quantitative performance evaluation indexes and evaluation models that fit the national R & D performance evaluation system through analysis of patent creation performance data or company status data. Also, in order to apply this to a specific group of companies with excellent exports and technical skills, we will conduct a case study on the performance analysis of patent strategy support projects based on the results of the survey. Although this study has some limitations in developing performance evaluation indicators due to the limited scope of business or business characteristics of the patent strategy support project, the qualitative evaluation system can be reviewed through previous studies and domestic and overseas case studies. Due to the problem of accessing and collecting data related to the performance of the support project, there is a limitation that performance analysis cannot be performed at a sufficient level. Nevertheless, after the completion of R&D support projects and patent strategy support projects, follow-up performance analysis can be performed through follow-up surveys. It is expected to be possible.
Journal of Practical Agriculture & Fisheries Research
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v.23
no.2
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pp.99-111
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2021
The connected farm that agricultural land, agricultural machinery and farmer are connected with an IoT gateway is in the commercialization stage. That has increased productivity, efficiency and profitability by intimate information exchange among those. In order to develop the educational program of intelligent agricultural machinery and the agricultural machinery safety education performance indicator, this study analyzed patent trends of agricultural machine with unmanned technology used in agriculture and efficiency technology applied advanced technologies such as ICT, robots and artificial intelligence. We investigated and analyzed patent trends in agricultural machinery of Korea, the USA and Japan as well as the countries in Europe. The United States is an advanced country in the field of unmanned technology and efficiency technology used in agriculture. Agricultural automation technology in Korea is insufficient compared to developed countries, which means rapid technological development is needed. In the sub-fields of field automation technology, path generation and following technology and working machine control technology through environmental awareness have activated.
Sehyoung Kim;Jaehyeong Park;Hansol Lee;Juyoung Kang
Journal of Intelligence and Information Systems
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v.29
no.3
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pp.249-265
/
2023
Recently, the satellite industry has been paying attention to the private-led 'New Space' paradigm, which is a departure from the traditional government-led industry. The space industry, which is considered to be the next food industry, is still receiving relatively little attention in Korea compared to the global market. Therefore, the purpose of this study is to explore future signals that can help determine the market entry strategies of private companies in the domestic satellite industry. To this end, this study utilizes the theoretical background of future signal theory and the Keyword Portfolio Map method to analyze keyword potential in patent document data based on keyword growth rate and keyword occurrence frequency. In addition, news data was collected to categorize future signals into first symptom and early information, respectively. This is utilized as an interpretive indicator of how the keywords reveal their actual potential outside of patent documents. This study describes the process of data collection and analysis to explore future signals and traces the evolution of each keyword in the collected documents from a weak signal to a strong signal by specifically visualizing how it can be used through the visualization of keyword maps. The process of this research can contribute to the methodological contribution and expansion of the scope of existing research on future signals, and the results can contribute to the establishment of new industry planning and research directions in the satellite industry.
In this paper, due to the instability of the domestic market, global competition is intensifying in the current situation of global capacity building of SMEs for the purpose of developing a diagnostic indicator placed on the purpose. In this model, the results of applying several companies overall global innovation pilot enterprises and non-rated global innovative companies awarded significant difference between the score and the ability to believe the show. Non-global innovation companies, the relative firm size factor and R&D investment and patent number of factors are lacking appeared shone This is a common small business nature of the majority of companies small and R&D investment, the absolute amount is insufficient to reflect that, but the global innovator in the case of firm size and the relatively large amount of investment that never shows.
This study is a part of the research on measuring and developing the creativity of college students, especially of engineering college students. This study was done in the class of imaginative design engineering which was a creativity training program integrated with engineering majors, including idea generation skills, creative problem solving, patent applications, design, manufacturing and marketing. Participants in this program were 75 freshman strudetns in engineering college. The achievements in this program were measured by the figural form of TTCT(Torrance Tests of Creative Thinking), as well as MBTI(Myers-Briggs Type Indicator). The results are as follows. First, TTCT scores of the participants in imaginetive design engineering increased significantly. Second, type indicator scores of MBTI varied significantly, to the directions of extrovert, feeling, and perception. Therefore, according to the results of this study, we can conclude the imaginative design engineering class had significant positive effects on the creativity of the engineering students.
Journal of Korean Society of Industrial and Systems Engineering
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v.39
no.2
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pp.64-71
/
2016
Recently, nanotechnology has grown as one of the leading science technology along with other converging technologies such as biology, information, medicine etc., bringing the continuous investment of the government in nano-related field. However, it is difficult to measure and evaluate the performance of the national research and development programs because of the multidimensional character of the expected outcomes. This study aims to measuring efficiency of the national nanotechnology research and development programs using DEA model. The decision making units are nine nano-related ministries including the Ministry of Science, ICT and Future Planning. The input variables are total expenditure, number of the programs and average expenditure per program. The output variables are science, technology and economic indicator, and the combination of these outputs are respectively measured as seven different DEA cases. The Ministry of Science, ICT and Future was the first efficient ministry in total technical efficiency. Ministry of Agriculture, Food and Rural Affairs and the Ministry of Food and Drug Safety were efficient in pure technical efficiency, when the Ministry of Commerce Industry and Energy took the first in the scale efficiency. The program efficiency was affected by organizational characteristics such as the institution's scale, the concentration of the research paper or the patent, technology transfer or the commercialization. The result of this study could be utilized in development of the policy in the nanotechnology and the related field. Furthermore, it could be applied for the modification of expenditure management or the adjustment of the research and development programs' input and output scale for each ministry.
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