02215nas a2200421 4500000000100000000000100001008004100002260006800043653003400111653003300145653002600178653002400204653003300228653003400261653002000295653001500315653004100330653002200371653002500393653002500418653001900443653002400462653003300486653003100519653001800550653002600568100001400594700001500608700001500623700001500638700001400653700001800667245009900685856015600784300001400940520081400954020002501768 2020 d c2020///bInstitute of Electrical and Electronics Engineers Inc.10aIntangible cultural heritages10aIntangible cultural heritage10aHistoric preservation10aOn-line communities10aconvolutional neural network10aConvolutional neural networks10aDigital storage10aEcosystems10aArtificial intelligence technologies10aImage recognition10aDigital preservation10aDigital preservation10aSearch engines10aCommunity cohesions10aImage recognition technology10aProfessional communication10aSearch system10aTie-dye craftsmanship1 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 a382-389, 3 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)