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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作，涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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A Review of Technology Standards and Patent Portfolios for Enabling Cyber-Physical Systems in Advanced Manufacturing
(2016-01-01)
Trappey, Amy J. C.
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Trappey, Charles V.
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Govindarajan, Usharani Hareesh
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Sun, John J.
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Chuang, Allen C.
Cyber-physical systems (CPS) are a collection of transformative technologies for managing interconnected physical and computational capabilities. Recent developments in technology are increasing the availability and affordability of sensors, data acquisition systems, and computer networks. The competitive nature of industry requires manufacturers to implement new methodologies. CPS is a broad area of engineering which supports applications across industries, such as manufacturing, healthcare, electric power grids, agriculture, and transportation. In particular, CPS is the core technology enabling the transition from Industry 3.0 to Industry 4.0 (I 4.0) and is transforming global advanced manufacturing. This paper provides a consolidated review of the latest CPS literature, a complete review of international standards, and a complete analysis of patent portfolios related to the 5C's CPS architecture model by Lee et al. The critical evaluation of international standards and the intellectual property contained in CPS patents is unaddressed by the previous research and will benefit both academic scholars and industry practitioners. The analysis provides a basis for predicting research and development future trends and helps policy makers manage technology changes that will result from CPS in I 4.0. This paper covers the emerging I 4.0 standards from the International Organization for Standardization, the International Electrotechnical Commission, and China's Guobiao standards followed by a patent analysis covering global patents issued in the U.S., Europe, China, and the World Intellectual Property Organization.
Computer Supported Technology Function Matrix Construction for Patent Data Analytics
(2017-01-01)
Jhuang, Allen C. C.
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Trappey, Charles V.
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Sun, John J. H.
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Govindarajan, Usharani Hareesh
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Trappey, Amy J. C.
Patent analysis helps companies understand their intellectual property (IP) portfolio and develop competitive marketing and management strategies. A Technology Function Matrix (TFM) is a critical approach for patent data analytics. This paper develops a generic computer supported TFM construction methodology that can be used for creating patent technical maps for any given domain. The approach is adopted for the case of the Internet of Things (loT) patent technology analysis in the context of Industry 4.0 111. The aim of this article is to provide the methodology and analysis methods for loT patent TFM and introduce computer supported IP and patent knowledge e -discovery.
IoT patent roadmap for smart logistic service provision in the context of Industry 4.0
(2017-01-01)
Trappey, Amy J. C.
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Trappey, Charles V.
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Fan, Chin-Yuan
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Hsu, Abby P. T.
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Li, Xuan-Kai
Industry 4.0 enables the management of factories manufacturing products with complexity and flexibility. The corresponding logistic services must provide greater accuracy and efficiency in logistic operations. The Internet of Things (IoT) is an important aspect for smart logistics in the context of Industry 4.0. For instance, intelligent logistics models use IoT integrated technologies, e.g. radio frequency identification (RFID), wireless sensor network (WSN) and cloud computing, to enhance the traceability and decision supports of logistic processes in real-time speed, high accuracy, and flexibility. This research focuses on analyzing the related technology roadmaps for the adoption of IoT technologies in smart logistic services. A case research is conducted specifically to identify the relationship between IoT-oriented technologies and deployed advanced logistic services. The logistic operations are organized into an ontology schema based on a four level service framework. The research proposes a roadmap approach to visualize the patent allocations and evolutions corresponding to logistic services at each level. Although the patent roadmap methodology is generic, this research focuses on the two industry leaders, which are UPS and IBM. Using the roadmap methodology, the IoT enabled smart logistic patents are analyzed to identify technologyrelated business strengths and strategies.
Technology and knowledge document cluster analysis for enterprise R&D strategic planning
(2006)
Hsu, Fu-Chiang
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Trappey, Amy J. C.
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Trappey, Charles V.
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Hou, Jiang-Liang
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Liu, Shang-Jyh
Through technology and knowledge document analysis, companies can realise the condition of specified technology development and the potential competitors in the market. As patents provide exclusive right and legal protection for patent inventors, patents play an important role in the development of technology. This paper presents the process of patent knowledge extraction and methodologies of patent analysis to improve the efficiency of patent analysis. Furthermore, the methodologies proposed in this paper include patent map analysis, patent technology clustering, patent document clustering and technology maturity measurement. Through these methodologies, companies can gain rich information and perforin better in patent management. Moreover, the strategic plans of R&D can also be determined using the methodologies proposed in this paper.
CLUSTERING PATENTS USING NON-EXHAUSTIVE OVERLAPS
(2010-06-01)
Trappey, Charles V.
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Trappey, Amy J. C.
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Wu, Chun-Yi
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管理科學系
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Department of Management Science
Patent documents are unique external sources of information that reveal the core technology underlying new inventions. Patents also serve as a strategic data source that can be mined to discover state-of-the-art technical development and subsequently help guide R&D investments. This research incorporates an ontology schema to extract and represent patent concepts. A clustering algorithm with non-exhaustive overlaps is proposed to overcome deficiencies with exhaustive clustering methods used in patent mining and technology discovery. The non-exhaustive clustering approach allows for the clustering of patent documents with overlapping technical findings and claims, a feature that enables the grouping of patents that define related key innovations. Legal advisors can use this approach to study potential cases of patent infringement or devise strategies to avoid litigation. The case study demonstrates the use of non-exhaustive overlaps algorithm by clustering US and Japan radio frequency identification (RFID) patents and by analyzing the legal implications of automated discovery of patent infringement.
A Fuzzy Ontological Knowledge Document Clustering Methodology
(2009-06-01)
Trappey, Amy J. C.
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Trappey, Charles V.
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Hsu, Fu-Chiang
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Hsiao, David W.
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管理科學系
This correspondence presents a novel hierarchical clustering approach for knowledge document self-organization, particularly for patent analysis. Current keyword-based methodologies for document content management tend to be inconsistent and ineffective when partial meanings of the technical content are used for cluster analysis. Thus, a new methodology to automatically interpret and cluster knowledge documents using an ontology schema is presented. Moreover, a fuzzy logic control approach is used to match suitable document cluster(s) for given patents based on their derived ontological semantic webs. Finally, three case studies are used to test the approach. The first test case analyzed and clustered 100 patents for chemical and mechanical polishing retrieved from the World Intellectual Property Organization (WIPO). The second test case analyzed. and clustered 100 patent news articles retrieved from online Web sites. The third case analyzed and clustered 100 patents for radio-frequency identification retrieved from WIPO. The results show that the fuzzy ontology-based document clustering approach outperforms the K-means approach in precision, recall, F-measure, and Shannon's entropy.

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