Results 1 to 10 of about 3,854,170 (324)
A Study on Mobile Crowd Sensing Systems for Healthcare Scenarios
IEEE Access, 2023 Due to the growing capabilities of mobile phones and devices, mobile crowd sensing (MCS) is rapidly gaining popularity among researchers in different fields, given its ability to collect data at scale and low cost.
Enshi Zhang +3 more
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ANALYSIS OF COMBINED UAV-BASED RGB AND THERMAL REMOTE SENSING DATA: A NEW APPROACH TO CROWD MONITORING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Collecting vast amount of data does not solely help to fulfil information needs related to crowd monitoring, it is rather important to collect data that is suitable to meet specific information requirements. In order to address this issue, a prototype is
S. Schulte, F. Hillen, T. Prinz
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IEEE Access, 2017 In mobile crowd-sensing systems, the value of crowd-sensed big data can be increased by incentivizing the users appropriately. Since data acquisition is participatory, crowd-sensing systems face the challenge of data trustworthiness and truthfulness ...
Maryam Pouryazdan +5 more
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Joint Sensing and Communication-Rate Control for Energy Efficient Mobile Crowd Sensing [PDF]
IEEE Transactions on Wireless Communications, 2022 Driven by the rapid growth of Internet of Things applications, tremendous data need to be collected by sensors and uploaded to the servers for further process.
Ziqin Zhou +4 more
semanticscholar +1 more source
Opportunistic Transmission Mechanism Based on QoS Sensing and Cooperative Competition in Mobile Crowd Sensing Network [PDF]
Jisuanji gongcheng, 2016 To improve the efficiency of data sensing,collection and transmission in mobile crowd sensing network,this paper presents an opportunistic transmission mechanism based on QoS sensing and cooperative competition.In the mechanism,a mobile crowd sensing ...
YUAN Guixia,ZHOU Xianchun
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Advanced Pedestrian State Sensing Method for Automated Patrol Vehicle Based on Multi-Sensor Fusion
Sensors, 2022 At present, the COVID-19 pandemic still presents with outbreaks occasionally, and pedestrians in public areas are at risk of being infected by the viruses.
Pangwei Wang +3 more
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Congested Crowd Counting via Adaptive Multi-Scale Context Learning
Sensors, 2021 In this paper, we propose a novel congested crowd counting network for crowd density estimation, i.e., the Adaptive Multi-scale Context Aggregation Network (MSCANet).
Yani Zhang +5 more
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Participants Ranking Algorithm for Crowdsensing in Mobile Communication
EAI Endorsed Transactions on Scalable Information Systems, 2018 As mobile technology is becoming more advance, the uses of this technology is increasing day by day. The mobile phone is used by everyone and it became the necessity of life. Today, smart devices are flooding the internet with data that are everywhere and
Tariq Ali +5 more
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Information, 2020 Mobile crowd sensing is an innovative and promising paradigm in the construction and perception of smart cities. However, multi-task allocation in real-world scenarios is a huge challenge.
Junying Han, Zhenyu Zhang, Xiaohong Wu
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MULTI-MODAL REMOTE SENSING DATA FUSION FRAMEWORK [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion.
M. A. A. Ghaffar +3 more
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