• Journal of the Korean Society of Industry Convergence
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• v.26 no.3
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• pp.471-481
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• 2023

Digital twin is considered as a key technology of industry 4.0, thus being essential for the future of industrial production. Despite the significance, a systematic analysis of its technological landscape is lacking. This study aims to investigate the technological development trends and newly emerging technological convergence opportunities in the domain of digital twin by exploiting patent information derived from U SPTO. For this purpose, this study visualized and predicted the convergence dynamics among patent classification codes by adopting patent co-classification analysis and link prediction approach. The findings show that the number of digital twin-related patent applications has increased significantly since 2018. The CPC code G06F showed the highest eigenvector centrality, while G05B was characterized by highest betweenness centrality. According to the predictive model, 41 novel links were revealed, acting as potential technology convergence opportunities. These links were then categorized into 11 different domains. The most dominant category was "digital data processing and artificial intelligence", which could play a foundational role in the diffusion of digital twin technology. The presence of digital twin technology is dominant in manufacturing, but its applications are expected to expand, including "climate change", "healthcare" and "aerospace engineering". The derived insights can support R&D managers and policy makers in formulating R&D strategies and directing future R&D investment decisions.

• Journal of Information Management
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• v.38 no.4
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• pp.1-21
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• 2007

Patent data have both properties of technological and industrial information. They satisfy explicit requirements for originality, technological validity, and commercial value. They comprise all fields of innovation for a long period of time. They show their own qualitative importance by forward citation of them. In this paper, we attempt to establish and apply an analytical model and process based on informetric approach using patent information in order to predict emerging technologies which have the possibility of industrial development in the future.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.542-543
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• 2018

기존의 부상기술 예측은 주로 정성적으로 이루어졌으나, 이는 많은 비용이 요구된다. 이에 대안으로 개발된 기술의 다양한 정보를 포함하는 특허를 활용한 정량적 방법이 있다. 기존에 특허 출원 건수를 이용한 정량적 예측 방법은 적은 출원이 이루어지는 부상기술 특허를 파악하는데 어려움이 존재한다. 이를 해결하기 위해, 선행연구에서는 추세선의 기울기를 사용하여 부상기술을 예측하였다. 그러나 출원 건수가 많은 핵심기술의 기울기가 크게 도출되므로 여전히 부상기술 파악에 어려움이 존재한다. 본 논문에서는 기술들의 Patent Power를 이용하여 상기 문제를 해결하며, 연도별 Patent Power의 변화를 이용하여 기울기를 구하고 부상기술을 예측한다. 또한, 최다 출원인을 확인하고 경영전략을 제시한다. 실험으로는 AR 분야의 특허 중 USPTO에 공개된 특허만을 사용하며, 부상기술로는 G02B가 도출되었다.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.67-68
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• 2020

Real-time information on the construction project required by the owner make the project's transparency and overall productivity will be improved. This study analyzes domestic and foreign patents for construction project management to identify trends in technology development, construct cloud-based construction project management system solution UI, and proposes functions and services for each module. Trend research is conducted through patent search, and the analysis is divided into quantitative analysis which means quantitative statistics and qualitative analysis which means the technical contents of each patent. The construction project management system solution is based on smart devices at small and medium-sized sites, allowing both the owner and the construction personnel to share information.

• Journal of Information Management
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• v.43 no.2
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• pp.67-83
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• 2012

Patents are the sources reflecting technology development by research and development(R&D) as well as the tools to secure economic benefits in the market, so using patent information is crucial for decision making processes in formulating technology development strategies. Intellectual property(IP) portfolios including a set of patents related to products and individual technologies are the basic unit that has the economic meaning in making national policies and technology strategies. Therefore, this research develops a total of 69 measures to identify the collective characteristics for IP portfolios("characteristics index"), by incorporating the patent indexes that have been widely used and the patent indexes that developed recently, and applying the concepts to patent analysis that have been used in interdisciplinary studies including economics and library and information science. The results of this research produced a characteristics index manual which helps experts to identify characteristics of technological innovation systems from various dimensions. We expect that the characteristics indexes can be used as a supportive tool for comparative analysis among IP portfolios in the technology policy making process.

• Journal of the Korean Data and Information Science Society
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• v.17 no.2
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• pp.411-420
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• 2006

There are many statistical information sites as the use of internet is increased quickly in recent years. In this paper, we explore and analyze internet sites for statistical information such as statistical survey system, education, database, and terminology. And then we classify these sites to apply statistical information to some particular spheres easily. Also, we analyze the patent map for domestic patents of statistical information. In so doing, the result of this study aims at enhancing our understanding of internet sites for statistical information.

• Journal of Society of Preventive Korean Medicine
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• v.19 no.3
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• pp.21-28
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• 2015

Objective : The purpose of this study was to analyze for the patent application tendency in mibyeong. Mibyeong is a concept in Korean Medicine meaning sub-health state, and treatment of mibyeong can be understood as preventive medicine. This concept laid a foundation for the development of Korean, Japanese and Chinese traditional medicine. In this paper, we describe a meaningful data for efficient R&D through patent analysis of mibyeong focusing on the Korea, Japan and China. Method : We collected patents about mibyeong using Focust, IPDL search tools. We analyzed patents according to the year, topic, country and etc. Results & Conclusion : We collected 1,577 patents and selected 807 patents as useful patents. After detailed analysis on mibyeong patent, we got to know that research about mibyeong was a growing field. In the collected patents, the patents on treatment device(except treatment compositions) were the majority and system of providing information were the second largest. We think that the mibyeong field is growing at a fast pace with high activity, and this research should be updated annually.

• 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 the Korean Society of Radiology
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• v.13 no.5
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• pp.785-790
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• 2019

Convergence and advancement between technologies such as Artificial Intelligence, Big Data, and the Internet of Things have a significant impact on the regional flagship industry. All technical fields are used as a converged technology by connecting between technology and industry. In order to understanding the recent technical trend, it is possible to easily realized the technical trend research and analysis through keyword search using patent information. The purpose of this study is to identify patent trends applied to convergence technology in the 4th Industrial Revolution age in radiation technology development and to present patent trends and analysis for strengthening and utilizing radiation-related industrial technology competitiveness and to apply them to demand technology and forecast future promising technologies.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.89-97
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• 2019

This study proposes a method for investigating current patents related to information communication technology and smart mobility to provide insights into future technology trends. The method is based on text mining clustering analysis. The method consists of two stages, which are data preparation and clustering analysis, respectively. In the first stage, tokenizing, filtering, stemming, and feature selection are implemented to transform the data into a usable format (structured data) and to extract useful information for the next stage. In the second stage, the structured data is partitioned into groups. The K-medoids algorithm is selected over the K-means algorithm for this analysis owing to its advantages in dealing with noise and outliers. The results of the analysis indicate that most current patents focus mainly on smart connectivity and smart guide systems, which play a major role in the development of smart mobility.