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Charles V. Trappey
Researcher at National Chiao Tung University
Publications - 154
Citations - 3230
Charles V. Trappey is an academic researcher from National Chiao Tung University. The author has contributed to research in topics: Ontology (information science) & Patent visualisation. The author has an hindex of 29, co-authored 146 publications receiving 2687 citations. Previous affiliations of Charles V. Trappey include Queensland University of Technology.
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A review of essential standards and patent landscapes for the Internet of Things: A key enabler for Industry 4.0
Amy J.C. Trappey,Charles V. Trappey,Usharani Hareesh Govindarajan,Allen C. Chuang,John J. H. Sun +4 more
TL;DR: A systematic approach to review IoT technology standards and patents is depicted and the essential standard landscape and the patent landscape based on the governing standards organizations for America, Europe and China where most global manufacturing bases are located are reviewed.
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A patent quality analysis for innovative technology and product development
TL;DR: The proposed patent quality methodology evaluates the quality of patents automatically and effectively as a preliminary screening solution and saves domain experts valuable time targeting high value patents for R&D commercialization and mass customization of products.
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Using patent data for technology forecasting: China RFID patent analysis
TL;DR: A methodology which combines patent content clustering and technology life cycle forecasting to find a niche space of RFID technology development in China suggests that the cluster called RFID wireless communication devices has entered the saturation stage and thus provides limited opportunity for development.
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A Review of Technology Standards and Patent Portfolios for Enabling Cyber-Physical Systems in Advanced Manufacturing
Amy J.C. Trappey,Charles V. Trappey,Usharani Hareesh Govindarajan,John J. H. Sun,Allen C. Chuang +4 more
TL;DR: The emerging I 4.0 standards from the International Organization for Standardization, the International Electrotechnical Commission, and China's Guobiao standards are covered followed by a patent analysis covering global patents issued in the U.S., Europe, China, and the World Intellectual Property Organization.
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Development of a patent document classification and search platform using a back-propagation network
TL;DR: In this article, a document classification and search methodology based on neural network technology that helps companies manage patent documents more effectively is developed. But the method is not suitable for large numbers of explicit knowledge documents such as patents in an organized manner, automatic document categorization and search are required.