• Journal of Hydrogen and New Energy
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• v.18 no.4
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• pp.481-494
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• 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.

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

• Clean Technology
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• v.15 no.3
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• pp.210-223
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• 2009

As a kind of an energy source to replace petroleum, the importance of oilsands is being emphasized as time goes on. In this paper, the trend of technology for the treatment of oil from oilsands was scrutinized using the patent analysis. The patents analyzed here were limited to them issued from 1973 to 2009. The technology trend of oil treatment of oilsands was analyzed by classifying each patent based on the year of publication, the country, the type of technology, and the major applicant of the patent.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.44
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• pp.257-261
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• 1997

Patents often serve as leading indicators of technological change. This patenting activity reflected R&D (Research & Development) of new technology. The purpose of this study is to set up a forecasting model that anticipate the number of domestic patent applications and the number of patents granted relating to R&D inputs (R&D expenditure, R&D manpower) at the level of three industrial sectors in Korea : electrical-electronic, machinery, chemical etc. In this study, forecasting models were used trend extrapolation and a set of regressions. Both Theil's inequality coefficient and MAE(Mean Absolute Error) were utilized to test the precision of predicted value. The patent data and the R&D data were based on Indicators of Industrial Technology data throught 1980 to 1996. The major results obtained in this study are as follows (1) The regression model is more useful for forecasting the trends of the number of patent applications and patents granted than the trend extrapolation method. (2) The variance of Theil's inequality is smaller in patent applications than in patent granted.

• Journal of the Korea Society of Computer and Information
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• v.23 no.4
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• pp.9-16
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• 2018

In this paper, we propose wide range of categorizes Artificial Intelligence technology as Learning, Inference, and Cognitive. Also, it analyzes 758 cases of open patents. For an analysis, target technologies were selected and categorized into specific areas to collect information about the patents. After removing noise, the patent information for each technology such as patent assignees and IPC code, was analyzed to evaluate the maturity of technology, the way ahead for research and development and the trends in core technology. This research presents directions of Artificial intelligence technology research and trend analysis of core Artificial Intelligent technology using quantitative analysis of patent information. Also Artificial intelligence technology requires technological development necessity through close cooperation in diverse fields.

• 한국태양에너지학회:학술대회논문집
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• 2008.04a
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• pp.233-240
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• 2008

• Journal of the Korean Society for Precision Engineering
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• v.29 no.5
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• pp.510-515
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• 2012

Feed drive systems are used to position the machine tool components carrying the cutting tool and workpiece to the desired location. Hence, their positioning accuracy and speed determine the quality and productivity of machine tools. In this paper, technical trend of machine tools feed drive systems are analyzed by patent mapping. And this paper suggested future development direction of feed drive systems. The analysis is carried out by using problem solution map (PSM) for the applied patent during January 2000 and December 2009 in Korea, Japan, EU and U.S.A.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.3
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• pp.266-270
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• 2013

Automatic tool changer(ATC) is typically provided to a machine tool to improve the efficiency of the machine tool significantly by saving time in moving, switching, installing and storing tools as well as adjusting a calibrating the machine tool. In this study, technical trend of machine tools automatic tool changer are analyzed by patent mapping. And future development direction of automatic tool changer has suggested. The analysis is carried out by using problem solution map for the applied patent during 2000 and 2010 in USA, Japan, Europe and Korea.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2007.11a
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• pp.35-35
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• 2007

The roll printing technique is the updated technology which will substitute a existing lithography technique for a field of the display such as LCD, PDP, OLED and FED etc. Currently, the patent trend analysis about research and development of the different enterprises are demanded, because it is forecast that the dominion of display market will be exchanged by research and development result of roll-printing technique. In this presentation, it is analyzed on patent trends applied the roll printing technique for a field of the display such as LCD, PDP, OLED and FED etc in Korea and Japan by the various methods.

• Journal of Powder Materials
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• v.22 no.4
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• pp.289-297
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• 2015

As recognized by all scientific and industrial groups, carbon dioxide($CO_2$) capture and storage(CCS) could play an important role in reducing greenhouse gas emissions. Especially carbon capture technology by dry sorbent is considered as a most energy-efficient method among the existing CCS technologies. Patent analysis has been considered to be a necessary step for identifying technological trend and planning technology strategies. This paper is aimed at identifying evolving technology trend and key indicators of dry sorbent from the objective information of patents. And technology map of key patents is also presented. In this study the patents applied in korea, japan, china, canada, US, EU from 1993 to 2013 are analyzed. The result of patent analysis could be used for R&D and policy making of domestic CCS industry.