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Technical Committee on Software Interprise Modeling (SWIM)  (Searched in: 2020)

Search Results: Keywords 'from:2020-11-28 to:2020-11-28'
[Go to Official SWIM Homepage (Japanese)] 
Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SWIM 2020-11-28
13:10		 Online Online [Keynote Address] Trends in international standardization of artificial intelligence (AI) (tentative title)
Fumihiro Maruyama (Fujitsu Lab.) SWIM2020-7		  [more] SWIM2020-7
pp.1-9
SWIM 2020-11-28
14:10		 Online Online Governance and accessment of the use of IT and AI for sustainable development
Hiroyuki Ogura (Nihon Univ.), Yonosuke Harada (Inst. of Information Security), Shunsuke Managi (Kyushu Univ.) SWIM2020-8		 It is required that the management of everything surrounding the organization becomes smarter and that it is transformed... [more] SWIM2020-8
pp.10-17
SWIM 2020-11-28
14:35		 Online Online Success factors on long-term large-scale collaborative research between university and industry -- Case study on collaboration program with industry in Osaka University --
Koji Nishio (Bunkyo Univ.) SWIM2020-9		 The purpose of this study is to consider how the long-term large-scale university-industry collaboration worked, and the... [more] SWIM2020-9
pp.18-25
SWIM 2020-11-28
15:15		 Online Online Introduction to Business Engineering -- Discussing Business Management Cycle --
Shoei Komatsu (APSOM) SWIM2020-10		 There is much talk about business models or building business models, but it is little is said about the evaluation of t... [more] SWIM2020-10
pp.26-33
SWIM 2020-11-28
15:40		 Online Online Study of Resource Amount Configuration for Automatic Application Offloading
Yoji Yamato (NTT) SWIM2020-11		  [more] SWIM2020-11
pp.34-39
SWIM 2020-11-28
16:05		 Online Online Recognition of moving objects taken by a wearable camera
Tsukasa Kudo (SIST) SWIM2020-12		 For videos and images, the accuracy of image recognition has been improved by utilizing deep learning, and application f... [more] SWIM2020-12
pp.40-45
 Results 1 - 6 of 6  /   
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