02204nas a2200421   4500000000100000000000100001008004100002260005900043653004100102653002400143653003400167653002500201653002000226653001500246653002600261653002200287653003300309653003400342653002400376653003100400653001900431653001800450653002600468653003300494653002500527653003300552100001400585700001500599700001500614700001500629700001400644700001800658245009900676856015600775300001200931520081400943020002501757       2020                            d  bInstitute of Electrical and Electronics Engineers Inc.10aArtificial intelligence technologies10aCommunity cohesions10aConvolutional neural networks10aDigital preservation10aDigital storage10aEcosystems10aHistoric preservation10aImage recognition10aImage recognition technology10aIntangible cultural heritages10aOn-line communities10aProfessional communication10aSearch engines10aSearch system10aTie-dye craftsmanship10aconvolutional neural network10aDigital preservation10aIntangible cultural heritage1 aEnmao Liu1 aQiming Jin1 aLijuan Liu1 aJunwu Wang1 aCheng Yao1 aFangtian Ying00aAn Online Community Applying CNN Technology for ICH Craftsmanship Inheritance and Preservation  uhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85086075359&doi=10.1109%2fICIEA49774.2020.9101983&partnerID=40&md5=a537b36fe32ec55b6f838b3a620b2eef  a382-3893 aIn recent years, artificial intelligence technology, especially image recognition technology, has made great progress. In this paper, we will apply the image recognition technology, which based on convolutional neural networks (CNN) to the digital preservation of Intangible Cultural Heritage (ICH) craftsmanship. A novel online ICH craftsmanship inheritance community has been established, which includes a sequentially updated ICH craftsmanship database, a Search-system based on image recognition, and a coach-system with recommended guidelines. Without doubt, this ecological community will offer a professional communication platform for users with different background. It contributes to community cohesion, encouraging a sense of identity and responsibility which helps individuals to feel part of one.  a9781728167855 (ISBN)