Results 51 to 60 of about 3,854,170 (324)
Joint Scheduling and Incentive Mechanism for Spatio-Temporal Vehicular Crowd Sensing
Recent years have witnessed the rising popularity of urban vehicular crowd sensing (UVCS) systems that leverage drivers’ mobile devices equipped with on-board sensors for various urban sensing tasks.
Gui-Yun Fan +7 more
semanticscholar +1 more source
A Secure Task Allocation Technology Based on Crowd Sensing Network [PDF]
Crowd sensing networks achieve large-scale sensing by using the existing sensing equipment of users as well as the deployed communication networks.Hence,it can efficiently address the critical problem of high cost of large scale network.However,during ...
TANG Yan,LIU Ruiqi,YANG Panlong,FAN Xiaochen,LI Qingyu
doaj +1 more source
Crowd Density Estimation and Mapping Method Based on Surveillance Video and GIS
Aiming at the problem that the existing crowd counting methods cannot achieve accurate crowd counting and map visualization in a large scene, a crowd density estimation and mapping method based on surveillance video and GIS (CDEM-M) is proposed. Firstly,
Xingguo Zhang +4 more
doaj +1 more source
In the service of Mobile Crowd Sensing (MCS), High-quality Data Collection (HDC), Bilateral Location Privacy Preservation (BLPP), and sensing cost are three pivotal issues.
Yajiang Huang +8 more
semanticscholar +1 more source
On Enabling Mobile Crowd Sensing for Data Collection in Smart Agriculture: A Vision
Smart agriculture enables the efficiency and intelligence of production in physical farm management. Though promising, due to the limitation of the existing data collection methods, it still encounters few challenges required to be considered.
Yuanhao Sun +6 more
semanticscholar +1 more source
Multi-Functional Homomorphic Encryption Method Based on Crowd Sensing Networks
In response to the security and privacy issues associated with sensing devices in contemporary crowd sensing systems, the paper proposes a crowd sensing networks method based on the MFHE (the Multi-Functional Homomorphic Encryption) architecture.
Hui Chen +10 more
doaj +1 more source
Crowd Size Estimation with Passive Electromagnetic Sensing
Abstract: Crowd size estimation has become of even greater significance than before COVID-19 restrictions. At the same time, wireless technologies are ubiquitous and change rapidly; we hypothesise that we can estimate crowd sizes from electromagnetic (EM) activity, agnostic from the used communication technology.
Dennis Joosens +3 more
openaire +2 more sources
Unmanned Aerial Vehicle (UAV) Based Disaster Detection and Crowd Sensing Using Deep Learning Models
Natural disasters, such as earthquakes, floods, fires, and hurricanes, result in extensive damage and challenge effective disaster management and rescue efforts.
Pushpak Shukla, Shailendra Shukla
semanticscholar +1 more source
Towards Crowdsourcing Internet of Things (Crowd-IoT): Architectures, Security and Applications
Crowdsourcing can play an important role in the Internet of Things (IoT) applications for information sensing and gathering where the participants are equipped with geolocated devices.
Kenneth Li Minn Ang +2 more
doaj +1 more source
Mapping urban temperature using crowd-sensing data and machine learning
Understanding the patterns of urban temperature a high spatial and temporal resolution is of large importance for urban heat adaptation and mitigation.
Marius Zumwald +3 more
semanticscholar +1 more source

