研究生: |
蔡俞群 Yu-Chun Tsai |
---|---|
論文名稱: |
結合專利指數與新專利開發法則進行集魚燈相關專利分析 Combination of patent indices with new patent development principles for analysis of fishing light related patrents |
指導教授: |
林榮慶
Zone-Ching Lin |
口試委員: |
王國雄
Kuo-Shong, Wang 許覺良 Jue-Liang Xu 傅光華 Kuang-Hua Fuh 楊條和 Tyau-Her Young |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 機械工程系 Department of Mechanical Engineering |
論文出版年: | 2022 |
畢業學年度: | 110 |
語文別: | 中文 |
論文頁數: | 322 |
中文關鍵詞: | 專利分析 、餘弦相似度 、LED集魚燈 、生命週期 、專利指數 、生命跨距 |
外文關鍵詞: | patent analysis, cosine similarity, LED fishing light, life cycle, patent index, life span |
相關次數: | 點閱:507 下載:4 |
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本文建立以載具為主的相關技術領域的修正式強度圖、交互圖及質量圖的相關六項指數的修正計算公式,並將其先應用於牙科燈,再應用於集魚燈。因此本研究應用牙科燈及集魚燈之相關技術領域,針對指數一:專利之核心申請人與指數二:核心技術應用程度繪製強度圖;針對指數三:共同合作開發程度與指數四:被其他技術應用廣度繪製交互圖;針對指數五:技術輸出程度與指數六:技術之未來成長率繪製質量圖,以此三張專利地圖、共計六項專利指數分析單一載具之技術核心與演變趨勢。此外,本文亦針對各項專利指數提出新的概念,如在強度圖之指數二:核心技術應用程度方面,本文從斷詞斷字系統之技術詞出發,先尋找在該技術領域中常態化數值較大的關鍵技術字及元件字,作為核心技術字的參考依據,再透過這些核心技術字去搜尋各技術領域之相關專利,針對各篇相關專利加總各核心技術字的常態化數值,將所得之核心技術字的總常態化數值較高的專利之篇數,作為我們的核心技術專利篇數之依據。此外,在質量圖之指數六:技術之未來成長率方面,本文提出應用技術領域的生命週期曲線,藉由技術領域的生命週期曲線方程式一次微分之斜率值去判定特定年分之技術成長率。本文共以前述六項專利指數分別繪製出專利之強度圖、交互圖與質量圖,並結合斷詞斷字之結果、專利引用、技術/功能矩陣、餘弦相似度、生命週期曲線、生命跨距及因果圖,先探討LED牙科燈,再探討LED集魚燈各技術領域之未來發展方向。
針對技術/功能矩陣,本文亦將某一技術領域與另一技術領域間重複定義或定義相同的專利技術字所占之常態化數值比例,使用應用修正式DEMATEL方法評估各技術領域間的相互影響程度,進而計算得到總關係影響矩陣、直接/間接關係圖及(D+R)值與(D-R)值之因果圖,並製作LED集魚燈之技術活動力趨勢表,繪製技術生命週期曲線並計算專利技術生命跨距。
此外,本研究亦同時結合改良式餘弦相似度以及機率方法進行LED集魚燈之新投入專利歸屬判定,先運用改良式餘弦相似度進行篩選之後再用機率方法算出專利之技術領域,並加入改良式技術生命週期,將第一層之三項技術領域分開,透過軟體進行分析模擬並繪製生命週期曲線,以年份去探討技術之間的相互影響關係,經由上述分析亦可以針對某項技術對應的功能提供新專利開發的參考。
The paper establishes modified calculation equations for 6 indices relating to the modified intensity map, interaction map and quality map of the related carrier-based technical field, and applies them to dental light as well as fishing light. Therefore, applying the related technical fields of dental light and fishing light, the paper draws an intensity map focusing on Index 1: Core applicant of patent as well as Index 2: Degree of application of core techniques, draws an interaction map focusing on Index 3: Degree of cooperative development as well as Index 4: Breadth of application by other techniques, and also draw a quality map focusing on Index 5: Degree of output of techniques as well as Index 6: Future growth rate of techniques. Using these 3 patent maps as well as 6 patent indices, the paper analyzes the technological cores and evolution trend of a single carrier. Besides, the paper also focuses on different patent indices to propose new concepts. For example, for Index 2: Degree of application of core techniques, the paper, starting from technical terms of the term and word segmentation system, firstly searches the key technical words and component words with greater normalized numerical values in this technical field, and then takes these words as a reference for core technical words. Through these core technical words, the paper searches the related patents of different technical fields. Focusing on the various related patents, the paper adds up the normalized numerical values of different technical words, and then takes those patents with the obtained core technical words having higher total normalized numerical values as a basis for us to know the number of core-technique patents. Besides, for Index 6 in the quality map: Future growth rate of techniques, the paper develops a life cycle curve of the application of technical field. Through the first-derivative slope value of the life cycle curve equation of technical field, the paper determines the technological growth rate of a specific year. The paper uses the 6 patent indices aforesaid to draw the intensity map, interaction map and quality map of patents, and also combines with the term and word segmentation results, citation of patents, technical/functional matrix, cosine similarity, life cycle curve, life span as well as causal map to explore the future development directions of different technical fields for LED dental
light and LED fishing light.
Focusing on the technical/function matrix, the paper also finds the ratio of normalized numerical values of the patent technical words having repeated definitions or the same definition between a certain technical field and another technical field. The paper applies the modified DEMATEL method to assess the degree of mutual influence among different technical fields, and further makes calculation to achieve total relation influence matrix, direct/indirect relation map as well as causal map between (D+R) value and (D-R) value. Based on the above, the paper determines the degree of mutual influence among different technical fields of LED fishing light, and further calculates the causal map of the modified DEMATEL of different technical fields of fishing light. The paper also makes a technical activity trend map of LED fishing light, draws a life cycle curve of techniques, and calculates the life
span of patent techniques.
In addition, the paper combines the modified similarity with probability method to perform determination of attribution of the newly included patents of LED fishing light. First of all, the paper uses the modified similarity for screening, and then uses probability method to calculate the technical field of patents, and also adds in the life cycle of improved techniques in order to separate the 3 technical fields on the first layer. Using software, the paper conducts analysis and simulation, and draws a life cycle curve to explore the mutual influence relationship among techniques on the basis of year. Through the above analysis, the paper can also focus on a certain technique’s corresponding function to provide a reference for development of new patents.
【1】 「國際專利分類表第七版使用指南」,經濟部智慧財產局,民國九十年。
【2】 Overview of the Classification System, http://www.uspto.gov/main/patents.htm
美國專利商標(USPTO)。
【3】 The EPO Guide to Patent Information on the Internet,
http://epart.epo.org/dwl/espacenet_manual.pdf
歐洲專利組織(EPO)。
【4】 Trappey, C.V., Trappey, A.J.C., and Wu, C.Y., “Clustering Patents Using Non.exhaustive Overlaps”, Journal of Systems Science and Systems Engineering, Vol.19, No.2, pp.162-181 (2010).
【5】 Trappey, C.V., Trappey, A.J.C., and Wu, C.Y., “Automatic Patent Document Summarization for Collaborative Knowledge Systems and Services”, Journal of Systems Science and Systems Engineering, Vol.18, No.1, pp.71-94 (2009).
【6】 Shih, M.J., Liu, D.R., and Hsu, M.L., “Discovering competitive intelligence by mining changes in patent trends”, Expert Systems with Applications, Vol.37, pp.2882-2890 (2010).
【7】 Singhal, A. and Salton, G., “Automatic Text Browsing Using Vector Space Model”, Technical Report, Department of Computer Science, Cornell University (1993).
【8】 Lawrence, S. and Giles, C.L., “Searching the Web: General and Scientific Information Access”, IEEE Communication, Vol.37, pp.116-122 (1999).
【9】 陳哲宏、陳逸南、謝銘洋、徐宏昇,「專利法解讀」,月旦出版公司,第14.15頁,民國八十三年。
【10】 Gruber, T., “A Translation Approach to Portable Ontology Specifications”, Knowledge Acquisition, Vol.5, pp.199-200 (1993).
【11】 O’Leary, D.E., “Enterprise Knowledge Management”, IEEE Computer, Vol.31, pp.54-61 (1998).
【12】 杜家宏,「整合繁體和簡體中文及英文斷詞斷字系統之發光二極體檯燈專利分析研究」,碩士論文,國立台灣科技大學機械工程學系,台北,民國一百年。
【13】 吳俞灃,「LED水族燈之相關專利分析研究」,碩士論文,國立台灣科技大學機械工程學系,台北,民國一百零一年。
【14】 Salton, G. and McGill, M., “Introduction to Modern Information Retrieval”, McGraw.Hill, New York (1983).
【15】 Vallet, D., Fernández, M. and Castells, P., “An Adaptation of the Vector.Space Model for Ontology.Based Information Retrieval”, IEEE Knowledge and Data Engineering, Vol.19, No.2, pp.261-272 (2005).
【16】 Wang, S., Sun, J., Gao, B.J. and Ma, J., “Adapting Vector Space Model to Ranking.based Collaborative Filtering”, CIKM 12 Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp.1487-1491, New York, USA (2012).
【17】 Gan, J. and Chen, L.C., “Research of Improved IF.IDF Weighting Algorithm”, International Conference on Information Science and Engineering (ICISE), pp.2304-2307, Hangzhou, China (2010).
【18】 Zhang, G.H. and Odbal, “Sentence Alignment For Web Page Text Based on Vector Space Model”, International Conference on Computer Science and Information Processing (CSIP), pp.167-170, Shaanxi, China (2012).
【19】 Trappey, C.V., Wang, T.M., Hoang, S. and Trappey, A.J.C., “Constructing a Dental Implant Ontology for Domain Specific Clustering and Life Span Analysis,” Advanced Engineering Informatics, Vol.27, pp.346-357 (2013).
【20】 Bermudez.Edo, M., Noguera, M., Hurtado.Torres, N., Hurtado, M.V. and Garrido, J.L., “Analyzing a Firm’s International Portfolio of Technological Knowledge: A Declarative Ontology-based OWL Approach for Patent Documents”, Advanced Engineering Informatics , Vol.27, pp.358-365 (2013).
【21】 Trappey, C.V., Trappey, A.J.C., Peng, H.Y., Lin, L.D. and Wang, T.M., “A Knowledge Centric Methodology for Dental Implant Technology Assessment Using Ontology Based Patent Analysis and Clinical Meta-analysis,” Advanced Engineering Informatics, Vol.28, pp.153-165 (2014).
【22】 Tzeng, G. H., Chiang, C. H., and Li, C. W., “Evaluating Intertwined Effects Ine-learning Programs: A Novel Hybrid MCDM Model Based on FactorAnalysis and DEMATEL,” Expert Systems with Applications, Vol.32, No.4, pp.1028-1044 (2007).
【23】 LED Inside of TRENDFORCE Corp., http://www.ledinside.com.tw/knowledge/20120801.22324.html
【24】 林武憲,「LED整合中英文斷詞斷字系統之專利分析」,碩士論文,國立台灣科技大學機械工程學系,台北,民國九十九年。
【25】 McGlen, R.J., Jachuck, R., and Lin, S., “Integrated Thermal Management Techniques for High Power Electronic Devices”, Applied Thermal Engineering, Vol.24, Issue 8-9, pp.1143-1156 (2004).
【26】 洪國恩,「結合修正式DEMATEL與改良式餘弦相似度及專利類別歸屬之機率方法進行LED自行車車燈相關專利分析研究」,碩士論文,國立台灣科技大學機械工程學系,台北,民國一百零四年。
【27】 Ernst, H., “The Use of Patent Data for Technological Forecasting: The Diffusion of CNC-Technology in the Machine Tool Industry” Small Business Economics, Vol.9, pp.361-381 (1997).
【28】 Meyer, P.S., Yung, J. W., and Ausubel, J. H., “A Primer on Logistic Growth and Substitution: The Mathematics of the Loglet Lab Software“, Technological Forecasting and Social Change, Vol.61, pp.247-271 (1999).
【29】 Trappey, C.V., Wu, H.Y., Taghaboni-Dutta, Fataneh, and Trappey, A.J.C, “Using Patent Data for Technology Forecasting: China RFID Patent Analysis.”, Advanced Engineering Informatics, Vol.25, pp.53-64 (2011).
【30】 Stage Lighting for Students
http://stagelightingprimer.com/index.html?slfs-right-frame.html&2
【31】 W.M. Han, C.H. Hsu, and C.Y. Yeh, “Using DEMATEL to Analyze the Quality Characteristics of Mobile Applications.” Proceedings of the 2014 International Conference on Future Information Engineering and Manufacturing Science, pp.131-134 (2014)
【32】 王建銘,「結合修正式FUZZY DEMATEL及技術生命週期進行LED投射燈相關專利分析及專利類別歸屬研究」,碩士論文,國立台灣科技大學機械工程學系,台北,民國一百零五年。
【33】 Lee, S. , Yoon, B. , and Park,Y. , “An approach to discovering new technology opportunities : Keyword-based patent map approach. ” , Technovation, Vol.29, Issue 6-7, pp.481-497 (2009).
【34】 Vladimir SMOJVER, Mario ŠTORGA, Eva POTOČKI., “Determining the Life Cycle Phase of a Technology Based on Patent Data.” , Technical Gazette , Vol.26, NO.1, 222-229, (2019).
【35】 Xi Yang , Xiang Yu , and Xin Liu. , “Obtaining a Sustainable Competitive Advantage from Patent Information: A Patent Analysis of the Graphene Industry.” , Sustainability, Vol.10, (2018)
【36】 Woncheon-Dong, Yeongtong-Gu Suwon, “Patterns of technological innovation and evolution in the energy sector: A Patent-Based approach.” , Energy Policy 59 (2013)