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

• Proceedings of the Korean Society for Technology of Plasticity Conference
• /
• 1999.08a
• /
• pp.3-9
• /
• 1999

The recent technical trend in hot rolling of steel can be described as process and product technologies which have been progressed with modern mill equipment and computers. Precise gauge and width control can be achieved by up-to-date control methods such as AGC and AWC systems. Roll benders and various shape control systems enabled high quality flatness and crown control. Mills can produce higher tensile materials by new process based on process metallurgy. The use of high speed steel rolls and on line roll grinders make the schedule free rolling easier which results in cost saving. Process itself goes toward continuous and simple flow type which has lower operation. Endless rolling and strip casting are examples of the trend. Materials with higher tensile strength and various functions have been developed in last years to meet the customer's needs and this trend will continue.

• Transactions of the Korean hydrogen and new energy society
• /
• v.18 no.4
• /
• pp.481-494
• /
• 2007

Hydrogen is clean and renewable and is recognized as a very promising energy to solve both depletion of petroleum resource and environmental problems caused by use of fossil fuels. Extensive researches have been performed worldwide on the production technologies of hydrogen. In this paper, characteristics of hydrogen production technologies were analyzed from the literature survey. Also, The technology trend of hydrogen production was scrutinized based on patent analysis. In patent analysis the search range was limited to the open patents issued from 1996 to 2005. Patents were gathered by using the key-words searching method and filtered by desirable filtering criteria. The technology trend of hydrogen production was discussed by classifying each patent based on the publishing year, country, and company, and the type of production technology.

• Transactions of the Korean hydrogen and new energy society
• /
• v.22 no.5
• /
• pp.741-748
• /
• 2011

Hydrogen is clean and renewable, and recognized as a very promising energy resource to solve both depletion of petroleum and environmental problems caused by the use of fossil fuels. Extensive researches have been performed worldwide on the production technologies of hydrogen. In this paper, the technology trend of photo-electrochemical (PEC) hydrogen production was scrutinized based on the patent and paper analysis. Open/registered patents of US, JP, EP, and KR and SCI Journals related to the PEC hydrogen production technology between 1996~2010 were reviewed. Patents and papers were gathered by using the key-words searching method and filtered by desirable filtering criteria. The technology trend was discussed by classifying each patent and paper based on the publishing year, country, and organization, and analyzing the core patents and papers.

• Journal of Korea Technology Innovation Society
• /
• v.14 no.spc
• /
• pp.1171-1186
• /
• 2011

Identifying Emerging Technology Trends is crucial for decision makers of nations and organizations in order to use limited resources, such as time, money, etc., efficiently. Many researchers have proposed emerging trend detection systems based on a popularity analysis of the document, but this still needs to be improved. In this paper, an emerging trend detection classifier is proposed which uses both academic and industrial data, SCOPUS and PATSTAT. Unlike most pre-vious research, our emerging technology trend classifi-er utilizes supervised, semi-automatic, machine learning techniques to improve the precision of the results. In addition, the citation information from among the SCOPUS data is analyzed to identify the early signals of emerging technology trends.

• Review of Korea Contents Association
• /
• v.15 no.1
• /
• pp.38-43
• /
• 2017

• Proceedings of the Plant Resources Society of Korea Conference
• /
• 2018.10a
• /
• pp.39-39
• /
• 2018

The Schizandra chinensis (Korean name : omija) 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.

• The Journal of Information Systems
• /
• v.30 no.3
• /
• pp.201-216
• /
• 2021

Purpose The purpose of this study is to analyze the trend of patent technology in textile materials using text mining methodology based on Dynamic Embedded Topic Model and Structural Topic Model. It is expected that this study will have positive impact on revitalizing and developing textile materials industry as finding out technology trends. Design/methodology/approach The data used in this study is 866 domestic patent text data in textile material from 1974 to 2020. In order to analyze technology trends from various aspect, Dynamic Embedded Topic Model and Structural Topic Model mechanism were used. The word embedding technique used in DETM is the GloVe technique. For Stable learning of topic modeling, amortized variational inference was performed based on the Recurrent Neural Network. Findings As a result of this analysis, it was found that 'manufacture' topics had the largest share among the six topics. Keyword trend analysis found the fact that natural and nanotechnology have recently been attracting attention. The metadata analysis results showed that manufacture technologies could have a high probability of patent registration in entire time series, but the analysis results in recent years showed that the trend of elasticity and safety technology is increasing.

• Proceedings of the KSRS Conference
• /
• 2007.10a
• /
• pp.57-60
• /
• 2007

Monthly mean data of ${\AA}ngstr{\ddot{o}}m$ exponent and Aerosol optical thickness (AOT) from Sea-viewing Wide Field-of-view Sensor (SeaWiFS) measurements over the East Asian waters were analyzed. Increasing trend of the satellite-derived ${\AA}ngstr{\ddot{o}}m$ exponent from 1998 to 2004 was found while AOT mean was observed stable during the same period. The trend of ${\AA}ngstr{\ddot{o}}m$ exponent is then interpreted as increase in fraction of small aerosol particles to give quantitative estimates on the variability of aerosols. The mean increase is evaluated to be $4{\sim}5%$ over the 7-year period in terms of the contribution of small particles to the total AOT, or sub-micron fraction (SMF). Possibilities of the observed trend arising from the sensor calibration or algorithm performance are carefully checked, which confirm our belief that this observed trend is rather a real fact than an artifact due to data processing. Another time series of SMF data (2000-2005) estimated from the fine-mode fraction (FMF) of Moderate Resolution Imaging Spectroradiometer (MODIS) supports this observation yet with different calibration system and retrieval algorithms.

• Journal of Korea Technology Innovation Society
• /
• v.21 no.1
• /
• pp.236-264
• /
• 2018

This study investigates the trend of the patent applications and the future direction of ICT in Gyeongbuk Province by employing patent portfolio analysis, one of the methodology of map analyses for industry-related ICT issues. Thus, this study aims to investigate the ICT development trend based on ICT patent information in Gyeongbuk Province. The promising technologies in ICT industry are extracted by applying patent portfolio analysis, one of the patent map analyses. The analysis results can be applied to the establishment of research and development strategies. This study extracts ICT trend by applying International Patent Classification to the patents registered in Gyeongbuk. For promising technologies, this study analyzed the patents based on the ICT Classification Code. Based on the analysis results, this study presents the trend of patent application, technology share, patent activity status, the trend of patent application by each technology according to ICT classification, the growth stages of ICT market, registration parties for patents, joint researches of research parties, and primary parties of patent applications. After drawing promising technologies, this study provides the future progress direction of ICT industry in Gyeongbuk Province. The research results also can be applied to securing technology competence and developing strategy of technology policy.