• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.233-241
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• 2014

In this paper, it predicts green technology in the future with "Co-word" which is patent analysis, "technology road-map, life cycle graph of patent activation and trend analysis. Analysis result shows that it would help environment preservation because development of ITS green technology makes carbon emission effectiveness and ITS green technology is especially expected to develop in fuel saving field. In addition, fuel saving field is predicted to be advance more practically technology field with convergence with IT.

• Journal of the Korean Geographical Society
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• v.44 no.3
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• pp.355-371
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• 2009

The purpose of this study is to investigate the spatial structure of the production of technological knowledge in the Korean photonics industry. Patent data were used as a proxy of knowledge production. The data were gathered by keywords among the registered patents which were applied from 1996 to 2007. The photonics industry patents registered at United States Patent Trademark Office(USPTO) show that Korea and Taiwan, as a latecomer, have rapidly increased. The photonics industry patents registered at Korean Intellectual Property Office(KIPO) were analyzed by type of application: single-applicant and co-applicant patents. The analysis of single-applicant patents shows that technological knowledge in the Korean photonics industry has been produced mainly in Seoul, Suwon, and Daejeon. The degree of spatial bias, however, has been slightly decreased during the study period. Above-mentioned regions are also main centers in the analysis of co-applicant patents, but the forms of inter-regional cluster and network are different over time. It is because agents participating in co-applicant patents are diverse and increased. Furthermore, it seems that policies, such as the improvement of the infrastructure of ICT, the promotion of the photonics industry and the industry-university-institute collaboration, are very influential.

• Industrial Engineering and Management Systems
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• v.14 no.1
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• pp.58-72
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• 2015

A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during 2003-2012. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.

• Journal of KIBIM
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• v.10 no.2
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• pp.1-11
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• 2020

BIM(Building Information Modeling) is a salient technology for influential innovation in the construction industry. The patent network analysis is useful for suggesting the direction of technology development and exploring the research and development field. Therefore, the purpose of this study is to analyze the BIM technology structure and core technologies according to the convergence of BIM technology and market expansion. In this study, social network analysis was conducted by establishing a co-classification IPC network for the United States BIM patent. In particular, the characteristics of the major technical areas in the BIM technology network were identified through centrality analysis. G06F017/00, digital computing or data processing method, is a core technology field in the BIM network. Arrangements, apparatus or systems for transmission of digital information, H04L029/00 is an influential technology across the network. B25J009/00 for program controlled manipulators is an intermediary technology field and G06T019/00, manipulating 3D models or images for computer graphics, is an important field for technological development competitiveness.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.103-118
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• 2010

Recently, the valuation of patented technology has been greatly emphasized, and patent citation has been accepted as a very useful index of this technology. In this study, we performed correlation analyses between the patent citation counts and 17 explanatory variables of morphological, technological, and conceptual factors with a test dataset of U.S. patents in five subject fields. Seven variables having 5% or more standardized variances($r^2$) with patent citation counts were identified; number of pages, number of claims, reference-average-citation rate, patent increase/decrease rate, strength of bibliographic coupling, co-citation counts and document similarity. The result of the ANOVA test shows that the mean values of these variables vary among most subject fields.

• Journal of Technology Innovation
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• v.25 no.3
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• pp.1-24
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• 2017

With the rise of internet of things (IoT), there have been several studies to analyze the technological trend and technological convergence. However, previous work have been relied on the qualitative work that investigate the IoT trend and implication for future business. In response, this study considers the patent information as the proxy measure of technology, and conducts a quantitative and analytic approach for analyzing technological convergence using patent co-classification analysis and text mining. First, this study investigate the characteristics of IoT business, and characterize IoT business into four dimensions: device, network, platform, and services. After this process, total 923 patent classes are classified into four types of IoT technology group. Since most of patent classes are classified into device technology, we developed a co-classification network for both device technology and all technologies. Patent keywords are also extracted and these keywords are also classified into four types: device, network, platform, and services. As a result, technologies for several IoT devices such as sensors, healthcare, and energy management are derived as a main convergence group for the device network. For the total IoT network, base network technology plays a key role to characterize technological convergence in the IoT network, mediating the technological convergence in each application area such as smart healthcare, smart home, and smart grid. This work is expected to effectively be utilized in the technology planning of IoT businesses.

• Journal of Hydrogen and New Energy
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• v.19 no.1
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• pp.90-102
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• 2008

Hydrogen storage is widely recognized as a critical enabling technology for the successful commercialization. There are a few different approaches for hydrogen storage technology. In this paper, characteristics of hydrogen storage 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 2006. The technology trend of hydrogen storage was assessed by classifying each patent based on the publishing year, country, and the type of storage technology.

• Journal of the Korean Society for Heat Treatment
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• v.28 no.5
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• pp.250-257
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• 2015

As recognized by all scientific and industrial groups, carbon dioxide ($CO_2$) capture and sequestration (CCS) could play an important role in reducing greenhouse gas emissions. This paper is aimed at identifying evolving technological trends from the objective information of patents related to carbon capture technology by solvent. In this study the patents applied in korea, japan, china, canada, US, EU from 1993 to 2013 were analyzed. The result of patent analysis could be used for R&D and policy making of domestic CCS industry.

• Journal of Hydrogen and New Energy
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• v.18 no.2
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• pp.197-206
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• 2007

There are several methods for the hydrogen production such as steam reforming of natural gas, photochemical method, biological method, electrolysis and thermochemical method, etc. Many researches have been widely performed for the hydrogen production method having low production cost and high efficiency. In this paper, the patents concerning the photochemical hydrogen production method were gathered and analyzed. The search range was limited in the open patents of USA(US), European Union(EP), Japan(JP), and Korea(KR) from 1996 to 2005. Patents were gathered by using key-words searching and filtered by filtering criteria. The patent application trend was analyzed by the years, countries, companies, and technologies.

• Asian Journal of Innovation and Policy
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• v.8 no.1
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• pp.73-96
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• 2019

This study suggests a new approach for identifying core robot tech-nologies based on technological cross-impact. Specifically, the approach applies data mining techniques and multi-criteria decision-making methods to the co-classification information of registered patents on the robots. First, a cross-impact matrix is constructed with the confidence values by applying association rule mining (ARM) to the co-classification information of patents. Analytic network process (ANP) is applied to the co-classification frequency matrix for deriving weights of each robot technology. Then, a technique for order performance by similarity to ideal solution (TOPSIS) is employed to the derived cross-impact matrix and weights for identifying core robot technologies from the overall cross-impact perspective. It is expected that the proposed approach could help robot technology managers to formulate strategy and policy for technology planning of robot area.