• Journal of Korea Technology Innovation Society
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• v.5 no.3
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• pp.260-276
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• 2002

Technology Analysis is advanced by the development of the analysis of technological information such as technological bibliometric analysis and patent analysis. Also, the advance of technology analysis has led the development of the family of techno-market analysis such as cost-benefit analysis, analysis for new item development, and the valuation of technology and technology business. Technology analysis mostly based on technological information analysis is confronted by new challenges from the development of information science and technology such as text mining.

• Journal of Korea Technology Innovation Society
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• v.3 no.3
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• pp.67-84
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• 2000

This paper expanded the usefulness of technology relation analysis by applying to R&D activities of Korea Gas Corporation (Kogas) at the corporate level. Technology relation analysis has been applied to assessment of R&D investments in telecommunication and construction industries in Korea. As empirical findings, technology map and technology spillover matrix of Kogas have been derived by technology similarity analysis. It has bee found that various useful information for R&D assessment could be acquired from the technology relation analysis at the corporate level.

• Journal of Korea Technology Innovation Society
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• v.7 no.1
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• pp.182-206
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• 2004

This is the review of 2,500 cases on the trend analysis of technology and market. We find the fact that the patterns of trend analysis are defined by the purpose and size of the series and analysis, not by the difference of experience, educational background, country or organization. Based on these facts, we define 14 types of the analysis of technology and market. Also we conceptualize several patterns of the analysis in methodology, techniques, analytical index, structure, information source and the value by types of trend analysis.

• Knowledge Management Research
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• v.8 no.1
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• pp.49-63
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• 2007

This paper presents a new methodology that allows the influence of technological obsolescence and technology composite competitiveness to estimate technology economic life. In this paper the patent citation life analysis is used to estimate technology representative life, and technology residual life analysis is employed to estimate residual life using the linear and inverse functions. The technology economic life will be determined by combining the estimation results of patent citation life analysis and technology residual life analysis. This paper includes an example of applying it to the US patent data for 5 communications areas. Therefore, this logical concept can be applied usefully to determine the technology economic life and be expected to contribute to obtain credibility of technology valuation.

• Proceedings of the Korean Vacuum Society Conference
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• 1997.02a
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• pp.180-180
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• 1997

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.113-120
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• 2015

Technology analysis is to analyze technological data such as patent and paper for a given technology field. From the results of technology analysis, we can get novel knowledge for R&D planing and management. For the technology analysis, we can use diverse methods of statistics. Time series analysis is one of efficient approaches for technology analysis, because most technologies have researched and developed depended on time. So many technological data are time series. Time series data are occurred through time. In this paper, we propose a methodology of technology forecasting using the dynamic time warping (DTW) of time series analysis. To illustrate how to apply our methodology to real problem, we perform a case study of patent documents in target technology field. This research will contribute to R&D planning and technology management.

• Proceedings of the Materials Research Society of Korea Conference
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• 1998.08a
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• pp.144.4-144
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• 1998

• Journal of Technology Innovation
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• v.14 no.3
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• pp.93-116
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• 2006

This study provides a quantitative forecasting method to identify promising fusion technology and it also applies the method based on patent analysis to IT. This study defines fusion technology, promising technology, fusion index, promising index and promising fusion technology. From the analysis, this study found that the next generation computer network is the most promising in IT area. This result is consistent with the forecasts made by the interviews and discussion of experts.

• Nuclear Engineering and Technology
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• v.47 no.2
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• pp.219-225
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• 2015

In this paper, a three-dimensional model for the dynamic analysis of a flywheel based on the finite element method is presented. The static structure analysis for the model provides stress and strain distribution cloud charts. The modal analysis provides the basis of dynamic analysis due to its ability to obtain the natural frequencies and the vibration-made vectors of the first 10 orders. The results show the main faults are attrition and cracks, while also indicating the locations and patterns of faults. The harmonic response simulation was performed to gain the vibration response of the flywheel under operation. In this paper, we present a Hilbert-Huang transform (HHT) algorithm for flywheel vibration analysis. The simulation indicated that the proposed flywheel vibration signal analysis method performs well, which means that the method can lay the foundation for the detection and diagnosis in a reactor main coolant pump.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.407-416
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• 2013

This paper proposes an approach to analyzing the relationship between technology and services, and to identifying promising service areas for technology-based firms with the analysis of business model (BM) patents. First, BM patents and technology patents are collected and classified into their relevant categories, respectively. Second, patent citation analysis is conducted to analyze the linkage and impacts between each technology and service field at macro level. Third, as a micro level analysis, patent co-classification analysis is employed to identify the interrelationships among specific technology and service areas. Finally, the promising service areas for technology-based firms seeking service areas for diversification is investigated with portfolio analysis. The working of the proposed approach is provided with the help of a case study of IT and mobile services. The proposed approach could guide and help managers of technology-based firms to discover the opportunity of the diversification to new areas in emerging service fields.