@article {chen_integration_2022,
	title = {The Integration Mechanism of Music Intangible Cultural Heritage and Tourism Industry in the Internet of Things Environment},
	journal = {Security and Communication Networks},
	volume = {2022},
	year = {2022},
	note = {Publisher: Hindawi Limited},
	month = {aug},
	abstract = {This work aims to optimize and innovate the protection, inheritance, and dissemination of Intangible Cultural Heritage (ICH). Based on the Internet of Things (IoT), this work designs the music ICH development path under the cultural concept by integrating music ICH with the tourism industry in the smart city environment. Specifically, it innovatively proposes the integration mechanism of immersive scene design of music ICH with smart city{\textquoteright}s tourism industry in the Internet of Things (IoT) context. Consequently, the music ICH brand equity evaluation model is built. This model can evaluate the importance of cultural and asset value of music ICH. The comprehensive evaluation index system of music ICH mainly includes four primary indexes (with eight secondary indexes): the live performance, historical value, music audience, and the tourism industry integration. In addition, at the beginning of the model iteration, the pattern recognition accuracy of the traditional model is only 67.5\%. Then, the recognition accuracy of the traditional model can reach 72.5\% at the 500th iteration. In contrast, the average recognition accuracy of the improved model can reach 80\%, and the highest can reach 82.5\%. This work can provide technical support and guarantee for formulating and optimizing music ICH protection strategies.},
	keywords = {City tourisms, Development path, Immersive, Intangible cultural heritages, Integration, Integration mechanisms, Internet of things, Pattern recognition, Recognition accuracy, Scene designs, Smart city, tourism industry, Traditional models, Work design},
	issn = {19390114 (ISSN)},
	doi = {10.1155/2022/3224674},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85136549164\&doi=10.1155\%2f2022\%2f3224674\&partnerID=40\&md5=eb1b4ae8416abb98d297f938ff66d0f2},
	author = {Chen, Lu and Zhang, ZhongLai}
}
