DesPatNet25: Data encryption standard cipher model for accurate automated construction site monitoring with sound signals

作者：

Highlights：

• A multiple kernel based DES pattern is proposed.

• A new sound dataset was collected to detect CSM tasks.

• New hand-modeled learning model is proposed and it is named DesPatNet25.

• DesPatNet25 applied to the collected dataset and it reached 97.05% accuracy.

摘要

•A multiple kernel based DES pattern is proposed.•A new sound dataset was collected to detect CSM tasks.•New hand-modeled learning model is proposed and it is named DesPatNet25.•DesPatNet25 applied to the collected dataset and it reached 97.05% accuracy.

论文关键词：DesPatNet25,Construction site monitoring,Huge sound dataset,ESC,Vehicle identification using sound

论文评审过程：Received 9 August 2021, Revised 22 December 2021, Accepted 23 December 2021, Available online 29 December 2021, Version of Record 4 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116447