Results 41 to 50 of about 3,854,170 (324)
An efficient anonymous reputation system for crowd sensing [PDF]
Recently, crowd sensing has been intensively researched, due to the rapid growth of sensor-integrated mobile devices. Crowd sensing is a participatory sensing service where a server gathers and analyzes sensing data submitted from mobile devices of lots ...
Nakanishi, Toru +1 more
core +3 more sources
Remote Sensing, Crowd Sensing, and Geospatial Technologies for Public Health: An Editorial. [PDF]
Remote sensing, as well as the recent advancements of crowd sensing, along with novel and recent geospatial technologies, have great potential to explore and understand the relationships between our surroundings—in particular our urban and rural ...
Arsanjani JJ.
europepmc +2 more sources
Mobile crowd sensing architectural frameworks: A comprehensive survey [PDF]
Mobile Crowd Sensing has emerged as a new sensing paradigm, efficiently exploiting human intelligence and mobility in conjunction with advanced capabilities and proliferation of mobile devices. In order for MCS applications to reach their full potentials,
Lagkas, T. +7 more
core +1 more source
Mobile Crowd sensing model is an emerging paradigm that requires mobile device users to perform tasks such as data aggregation and cloud computing operations and also provides significant role in several data-driven applications.
M. Arulprakash, R. Jebakumar
doaj +1 more source
Macromolecular crowding: Sensing without a sensor
All living cells are crowded with macromolecules. Crowding can directly modulate biochemical reactions to various degrees depending on the sizes, shapes, and binding affinities of the reactants. Here, we explore the possibility that cells can sense and adapt to changes in crowding through the widespread modulation of biochemical reactions without the ...
Holt, Liam, Delarue, Morgan
openaire +4 more sources
Resource Allocation Algorithm Based on Profit Maximization for Crowd Sensing
The key to realizing the crowd sensing network is to overcome the resource restrictions of energy, bandwidth, computing, and so on. First of all, due to the number of users and sensor availability will be dynamic change over time, crowd sensing system is
Kun Gao, Bin Wang, Xinwu Yu
doaj +1 more source
A Context-Driven Worker Selection Framework for Crowd-Sensing
Worker selection for many crowd-sensing tasks must consider various complex contexts to ensure high quality of data. Existing platforms and frameworks take only specific contexts into account to demonstrate motivating scenarios but do not provide general
Jiangtao Wang +3 more
doaj +1 more source
Large-Scale Dataset for Radio Frequency-Based Device-Free Crowd Estimation
Organisers of events attracting many people have the important task to ensure the safety of the crowd on their venue premises. Measuring the size of the crowd is a critical first step, but often challenging because of occlusions, noise and the dynamics ...
Abdil Kaya +4 more
doaj +1 more source
On Crowd Density Estimation for Surveillance
The goal of this work is to use computer vision to measure crowd density in outdoor scenes. Crowd density estimation is an important task in crowd monitoring. The assessment is carried out using images of a graduation scene which illustrated variation of
Rahmalan, Hidayah +5 more
core +2 more sources
An Incentive Mechanism in Mobile Crowdsourcing Based on Multi-Attribute Reverse Auctions
In order to avoid malicious competition and select high quality crowd workers to improve the utility of crowdsourcing system, this paper proposes an incentive mechanism based on the combination of reverse auction and multi-attribute auction in mobile ...
Ying Hu +3 more
doaj +1 more source

