研究生: |
張冠羣 CHANG, Kuan-Chun |
---|---|
論文名稱: |
人工智慧創新應用之研究 A Study on Innovation Applications of Artificial Intelligence |
指導教授: |
蘇友珊
Su, Yu-Shan |
學位類別: |
碩士 Master |
系所名稱: |
工業教育學系 Department of Industrial Education |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 中文 |
論文頁數: | 143 |
中文關鍵詞: | 人工智慧 、分析層級法 、決策分析法 |
英文關鍵詞: | Artificial Intelligence, AHP, DEMATEL |
DOI URL: | http://doi.org/10.6345/NTNU202001168 |
論文種類: | 學術論文 |
相關次數: | 點閱:346 下載:85 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
人工智慧在近年造成了廣泛的討論,研究指出下個產業革命就是人
工智慧的應用,當然台灣產業也會面臨新的挑戰,本研究對人工智慧創新應用作探討,並且整理出目前最新的應用,透過文獻整理出構面並且設計問卷,使用層級分析法AHP與決策分析法DEMATEL作為研究方法,讓企業與政府知道最新的人工智慧應用。
本研究透過文獻整理與學者的研究,發展出五大構面與其二十五個構面因子,針對人工智慧應用面作出探討,分析出未來可能的技術發展與暸解目前的最新趨勢,以利大眾在趨勢變化中擁有競爭力與快速回應挑戰。
本研究結果得知五大構面發展順序為:(1)智慧城市;(2)智慧交通;(3)智慧金融;(4)智慧生活;(5)智慧製造等。五大構面下的準則順序為:(1)智慧治理;(2)智慧公車;(3)智慧安全;(4)智慧工廠;(5)智慧醫療。
Artificial Intelligence has recently ignited much extensive discussions. This study highlights the future steps of industrial revolution in its application of Artificial Intelligence. Inevitably, Taiwan’s industry will also face new challenges to come. This study explores the application of Artificial Intelligence innovation, discover the latest applications, and organize facets through literature and design questionnaires. The use of Analytic Hierarchy Process, (AHP), as well as Decision Making Trial and Evaluation Laboratory, (DEMATEL), are research methods implemented. This provides enterprises and governments much awareness of the latest Artificial Intelligence applications.
The material compiled from this study, is based on literature review as well as scholar research. In the process, five major facets and twenty-five facet factors were developed to discuss the application of Artificial Intelligence, analyze possible technical developments, and understand the latest trends. These processes allow people to be competitive and respond to challenges as rapidly as the changing of trends.
According to the results of this study, the development order of the five major aspects is as follows: Smart City, Intelligent Transportation, Smart Finance, Smart Life, and Smart Manufacturing. Subsequently, the order of criteria under the five aspects is as follows: Smart Governance, Smart Bus, Smart Security, Smart Factory, and Smart Healthcare.
參考文獻
中文部分
李開複 & 王詠剛(2017)。人工智慧。台北市:遠見天下文化。
陳炳輝(2017)。台灣產業未來競爭力的關鍵-平台、人工智慧、機器學
習。Mix Taiwan。取自https://www.slideshare.net/mixtaiwan/mix-taiwan20170524
褚志鵬(2009)。層級分析法(AHP)理論與實作。花蓮:國立東華大學企業管理學系教學講義。
約翰·麥卡錫(2017)。維基百科,自由的百科書。取自
https://zh.wikipedia.org/w/index.php?title=%E7%BA%A6%E7%BF%B
0%C2%B7%E9%BA%A6%E5%8D%A1%E9%94%A1&oldid=47005
839
維基百科(2017)。人工智慧。維基百科,自由的百科全書。取自
https//zh.wikipedia.org/w/index.php?title=%E4%BA%BA%E5%B7%A
5%E6%99%BA%E8%83%BD&oldid=47034266
葉逸萱(2017)。人工智慧xFinTech金融服務業之致勝關鍵。工研院產
業經濟與趨勢研究中心。取自 http//:web.fintech.mcu.edu.tw/sites/default/files/u3/20170826_%E4%BA%BA%E5%B7%A5%E6%99%BA%E6%85%A7xFintech-%E9%87%91%E8%9E%8D%E6%9C%8D%E5%8B%99%E6%A5%AD%E4%B9%8B%E8%87%B4%E5%8B%9D%E9%97%9C%E9%8D%B5_%E8%91%89%E9%80%B8%E8%90%B1.pdf
鄧振源、曾國雄(1989a)。層級分析法(AHP)的內涵特性與應用(上),中國統計學報,27(6),5-22。
鄧振源、曾國雄 (1989b)。層級分析法(AHP)的內涵特性與(下),中國統計學報,27(7),1-20。
鐘曉君(2011)。智慧聯網商業模式發展評析。台北市: 經濟部技術處資策會MIC,ITIS產業評析。
蘇孟宗(2016)。全球物聯網發展趨勢與台灣契機。工業技術研究院產業經濟與趨勢研究中心。取自http://ieknet.iek.org.tw/iekppt/ppt_more.aspx?sld_preid=4883
高敬原(2017)。全球首例!中國AI通過醫療執照考試,未來換機器人治療你?。數位時代。取自https://www.bnext.com.tw/article/47124/first-time-robot-passed-medical-licensing-exam
愛范兒(2017)。當智慧語音裝置開始主動「說話」,你還會堅持使用它嗎?。數位時代。取自https://www.bnext.com.tw/article/46035/when-intelligent-assistant-disturb-your-life-will-you-still-use-it
裴有恆(2017)。人工智慧與醫療。康健雜誌。取自http://www.commonhealth.com.tw/blog/blogTopic.action?nid=2598&typeUuid=b5024610-982d-4897-ae1a-e51829f9afb1
林建甫(2017)。迎接人工智慧的時代。臺灣經濟研究月刊,40(7),8-9。
科技產業資訊室(2017)。未來4~5年我國投入100億於AI技術研究及產業。財團法人國家實驗研究院科技政策研究與資訊中心。取自http://www.commonhealth.com.tw/blog/blogTopic.action?nid=2598&typeUuid=b5024610-982d-4897-ae1a-e51829f9afb1
國家發展委員會(2017)。人工智慧發展趨勢與政策。中華民國國家發展委員會。取自https://www.ndc.gov.tw/News_Content.aspx?n=114AAE178CD95D4C&s=84A4A17242C7F37B
馬仁敏(2016)。人工智慧的產業與技術藍圖。壹讀。取自https://read01.com/zh-tw/a0yORD.html#.Wh7lfUqWaUl
商業週刊(2017)。智慧交通 輕鬆省時趴趴走。商業週刊。取自https://read01.com/zh-tw/a0yORD.html#.Wh7lfUqWaUl
李建明(2017)。學術:你真的懂什麼是智慧城市嗎?。每日頭條。取自https://kknews.cc/zh-tw/tech/bx4eg4o.html
李顯正(2017)。6應用看人工智慧改造台灣金融服務業的可能性。數位時代。取自https://www.bnext.com.tw/article/44618/6-ai-financial-service-use-cases
國際智慧生活教育平台(2014)。智慧生活三大領域。國際智慧生活教育平台。取自http://www.smartliving.org.tw/firstphase/TBD/page/show/knowledge
國立交通大學資訊工程學系(2012)。智慧環境。國立交通大學資訊工程學系。取自https://www.cs.nctu.edu.tw/cswebsite/research/field/smart_environment
賴清德(2017)。全國首座資源智慧回收站臺南啟用 小至電池大到液晶螢幕都可以。市政新聞。取自http://www.tainan.gov.tw/tainan/news.asp?id=%7b72B5212C-7B70-45C0-BFFE-C5AD1B7D2C1B%7d
楊晨欣(2013)。智慧城市的發展關鍵。電週文化。取自https://www.ithome.com.tw/node/81516
賴麗秋(2011)。停車免靠運氣 智慧停車系統讓你隨到隨停。DIGITIMES。取自https://www.digitimes.com.tw/iot/article.asp?cat=158&cat1=20&cat2=35&id=0000225294_k5j3eh778582km5cj559f
Jm434(2015)。不都是柏油路嗎?第一條跨國智慧道路有什麼好稀奇?。TechOrange。取自 https://buzzorange.com/techorange/2015/01/12/europes-smart-highway-will-shepherd-cars-from-rotterdam-to-vienna/
維基百科(2017)。智慧巴士。維基百科, 自由的百科全書。取自https://zh.wikipedia.org/w/index.php?title=%E6%99%BA%E6%85%A7%E5%B7%B4%E5%A3%AB&oldid=46692325
DIGITIMES企劃(2016)。汽車智慧化現況與趨勢。DIGITIMES。取自https://www.digitimes.com.tw/iot/article.asp?cat=158&id=0000485609_F9V7MO4MLLCGSTLTXYUFD
DIGITIMES企劃(2013)。自動化智慧製造的要角-工業機器人。DIGITIMES。取自https://www.digitimes.com.tw/iot/article.asp?cat=130&id=0000340657_H1659OPJ6C7AK26SD44M4
吳韻宣(2015)。智慧工廠讓生產流程變智慧了!。數位時代。取自https://www.bnext.com.tw/article/35299/BN-ARTICLE-35299
MBA智庫百科(2017)。智慧物流。MBAlib。取自 http://wiki.mbalib.com/zhtw/%E6%99%BA%E6%85%A7%E7%89%A9%E6%B5%81
DIGITIMES企劃(2017)。自動化已有基礎 用人工智慧促進智慧製造。DIGITIMES。取自https://www.digitimes.com.tw/iot/article.asp?cat=158&id=0000509885_JY69ZFT876T2KB6H3KAQU
MBA智庫百科(2017)。智慧倉儲。MBAlib。取自 http://wiki.mbalib.com/zhtw/%E6%99%BA%E6%85%A7%E4%BB%93%E5%82%A8
商業週刊(2017)。智慧醫療照護 讓健康無遠弗屆。商周.COM。取自 http://www.businessweekly.com.tw/article.aspx?id=33826&type=Indep
Evelyn(2017)。【趨勢】可穿戴裝置與人工智慧的結合Google「Android Wear」。CloudMile。取自 https://www.mile.cloud/gcp/wearable-device-with-ai/
尹相志(2016)。人工智慧能創作偉大的藝術作品嗎?。數位時代。取自https://www.bnext.com.tw/article/41539/can-ai-create-masterpieces
紀品志(2016)。智慧超市「Amazon GO」不用結帳,商品「拿了就走」!。數位時代。取自 https://www.bnext.com.tw/article/42193/amazon-go-grocery-store
維基百科(2017)。智慧家庭。維基百科, 自由的百科全書。取自https://zh.wikipedia.org/w/index.php?title=%E6%99%BA%E6%85%A7%E5%AE%B6%E5%BA%AD&oldid=46661336
張堂賢&黃宏仁(2009)。未來的智慧型交通系統。科學發展,(434),6-11。
黃冠華(2015)。國土規劃下推動智慧城市策略之研究。中華建築技術學刊,10(1),39-49。
黃冠華(2016)。智慧城市下都市推動策略與評估架構之研究初探.。政策與人力管理。7(1),1-29。
葉立綸(2018)。智慧機械技術與產業發展趨勢。機器工業雜誌。
盧淵源(1994)。分析層級程序法(AHP Method)之應用。金屬工業研究發展中心系列講座(二),28(1),19-22。
吳泓怡、張洧銘&周佳蓉(2006)。應用決策實驗室分析法於運動休閒鞋消費者之購買決策關鍵評估因素分析。中華民國品質學會第 42 屆年會暨第12屆全國品質管理研討會,台北市。
陳政全(2009)。以DEMATEL方法探討建廠專案工程的關鍵成功因素。中華大學科技管理學系(所)碩士論文,新竹市。
楊淑涵 (2012)。企業併購關鍵因子之探討-以 AHP 與 DEMATEL 分 析。淡江大學國際商學碩士在職專班學位論文,新北市。
許巍瀚(2014)。臺灣智慧城市治理架構與策略研擬之研究。國立政治大學地政研究所碩士論文。
梁國瑞(1995)。以改良式目標規劃法建構AHP模組。交通大學資訊管理研究所碩士論文,新竹市。
賴志遠(2018)。國際人工智慧政策推動現況。財團法人國家實驗研究院科技政策研究與資訊中。取自https://portal.stpi.narl.org.tw/index/article/10418;jsessionid=2F72BF8BCFDD22C9EB91750DA77624D2
英文部分
A. Kusiak. (1987). Artificial intelligence and operations research in flexible manufacturing Systems. Information Systems and Operational Research, 25 (1), 2-12.
Atlam, H. F., Walters, R. J., & Wills, G. B. (2018, July). Intelligence of things: opportunities & challenges. In 2018 3rd Cloudification of the Internet of Things (CIoT). (6). Retrieved from https://ieeexplore.ieee.org/abstract/document/8627114
B.H. Li, B.C. Hou, W.T. Yu, X.B. Lu, C.W. Yang. (2017). Applications of
artificial intelligence in intelligent manufacturing. A review Frontiers of
Information Technology & Electronic Engineering, 18 (1), 86-96.
Banafa, A. (2018). Why IoT Needs AI. IEEE. Retrieved fromhttps://www.bbvaopenmind.com/en/why-iot-needs-ai/.
C.M. Chung, C.C. Chen, W.P. Shih, T.E. Lin, R.J. Yeh, I. Wang, (2017).
"Automated machine learning for Internet of Things", 2017 IEEE
International Conference on Consumer Electronics - Taiwan (ICCE-
TW), 295-296. doi: 10.1109/ICCE-China.2017.7991112
Cohen, B. (2013). Smart city wheel. smart & safe city. Retrieved from:
http://www. smartcircle. org/smartcity/blog/boyd-cohen-the-smart-city-
wheel.
Daugherty, P. R., & Wilson, H. J. (2018). Human+ machine: reimagining work in the age of AI. Harvard Business Press.
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., ... & Galanos, V. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management.
Dasoriya, R., Rajpopat, J., Jamar, R., & Maurya, M. (2018). The Uncertain future of artificial intelligence. In 2018 8th International conference on cloud computing, data science & engineering (confluence). 458-461.
Fontela, E., & Gabus, A. (1976). The DEMATEL Observer. Geneva,
Switzerland: Battelle Memorial Institute Geneva Research Centre.
Greenfield, A. (2006). Everyware: the dawning age of ubiquitous computing. Boston: New Riders.
Haeffner, M., & Panuwatwanich, K. (2017, September). Perceived impacts of Industry 4.0 on manufacturing industry and its Workforce: Case of Germany. In International conference on engineering, project, and product management. 199-208.
J.H. Lee. (2002). Artificial intelligence-based sampling planning system for
dynamic manufacturing process. Expert Systems with Applications, 22
(2), 117-133.
Kitchin, R. (2014). The real-time city? big data and smart urbanism. GeoJournal, 79, 1–14.
Kourtit, K., Nijkamp, P., & Arribas, D. (2012). Smart cities in perspective–a comparative European study by means of self-organizing maps. Innovation: The European journal of social science research, 25(2), 229-246.
Kanellos, M. (2016). 152,000 Smart devices every minute in 2025: IDC outlines the future of smart things. Forbes. com. Retrieved from https://www.forbes.com/sites/michaelkanellos/2016/03/03/152000-smart-devices-every-minute-in-2025-idc-outlines-the-future-of-smart-things/#183748124b63
Lekamge, S., & Marasinghe, A. (2013). Developing a smart city model that ensures the optimum utilization of existing resources in cities of all sizes. In 2013 International Conference on Biometrics and Kansei Engineering. 202-207.
Leydesdorff, L., & Deakin, M. (2011). The triple-helix model of smart cities: A neo-evolutionary perspective. Journal of urban technology, 18(2), 53-63.
Marr, B. (2015). How big data and the internet of things create smarter cities. Forbes, May.
Maye, D. (2019). ‘Smart food city’: conceptual relations between smart city planning, urban food systems and innovation theory. City, Culture and Society, 16, 18-24.
MILLER, Steven M.. AI: Augmentation, more so than automation. (2018). Asian Management Insights. 5(1), 1-20.
Muhuri, P. K., Shukla, A. K., & Abraham, A. (2019). Industry 4.0: A bibliometric analysis and detailed overview. Engineering applications of artificial intelligence, 78, 218-235.
M. Löffler, A. Tschiesner(2013). The Internet of things and the future of
manufacturing, McKinsey & Company. Retrieved from
https://www.mckinsey.com/business-functions/mckinsey-digital/our-insights/the-internet-of-things-and-the-future-of-manufacturing#
P.K. Jain, C.T. Mosier(1992). Artificial intelligence in flexible
manufacturing systems,International. Journal of Computer Integrated
Manufacturing, 5(6)(1992), 378-384.
R. Parveen. (2018). Artificial intelligence in construction industry: Legal I
ssues and regulatory challenges International, Journal of Civil
Engineering and Technology, 9(13), 957-962.
R.Y. Zhong, X. Xu, E. Klotz, S.T. Newman(2017). Intelligent manufacturing
in the context of industry 4.0:. A review Engineering, 3(5), 616-630.
Saaty, T.L. (1980). The Analytic Hierarchy Process. New York, NY: McGraw-
Hill.
S. Dustdar, S. Nastić, O. Šćekić. (2017). Smart Cities: The Internet of
Things. People and Systems. United States: Springer.
S. Khanna, A. Sattar, D. Hansen(2013). Artificial intelligence in health –
The three big challengesAustralasian ,Medical Journal, 6(5)(2013),
315-31.
Tokoro, N. (2015). The smart city and the co-creation of value. A source
of new competitiveness in a low-carbon society. United States: Springer.
Yang, J., Chen, Y., Huang, W., & Li, Y. (2017). Survey on artificial intelligence for additive manufacturing. In 2017 23rd International Conference on Automation and Computing (ICAC), (1-6).