摘要
随着可内嵌多种传感器的智能手机的快速普及和应用,群智感知计算技术作为一种新的感知模式逐步发展起来。为了解决人们生活中排队时间的不可预测问题,本文提出了一个群智感知系统来监测并预测自动取款机排队等待时间。该系统包括能自动探测等待时间的智能手机部分和处理收集数据以提供精确等待时间估计的云后台两部分。该系统通过为用户提供精确的等待时间来帮助用户合理利用排队等待时间。
With the prevalence and rapid development of rich sensor-equipped smartphones,mobile crowd sensing has a new sensing paradigm.To obtain the uncertain waiting time,a crowdsensing system is described.It is used for monitoring and forecasting automatic teller machine line wait times.The system consists of a smartphone component that provides automatic and accurate wait-time detection and a cloud backend that uses the collected data to provide accurate wait-time estimation.The system can help users to make use of the waiting time by providing the actual waiting time.
作者
刘宏英
聂文梅
LIU Hong-ying;NIE Wen-mei(School of Mathematics and Computer Science, Shanxi Datong University, Datong 037009, China)
出处
《软件》
2017年第8期76-78,共3页
Software
基金
山西大同大学博士科研启动基金(2015-B-05)
山西大同大学科研项目(2012k6)
山西大同市科研项目(2017127)
关键词
群智感知
智能手机应用
排队时间估计
Crowdsenging
Smartphone applications
Wait-time estimation
