Results 81 to 90 of about 6,576 (183)

In‐fleet structural health monitoring of roadway bridges using connected and autonomous vehicles’ data

open access: yesComputer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 14, Page 2122-2139, 15 July 2024.
Abstract Drive‐by structural health monitoring (SHM) is a cost‐efficient alternative to the direct SHM of short‐ to medium‐size bridges requiring no sensors to be installed on the structure. However, drive‐by SHM is generally known as a short‐term monitoring technique due to the challenges associated with using multiple passages of instrumented ...
Hoofar Shokravi   +3 more
wiley   +1 more source

Efficient Algorithms for Flexible Sweep Coverage in Crowdsensing

open access: yesIEEE Access, 2018
Sweep coverage is an important covering technique in mobile crowdsensing, in which users or participants are employed to periodically monitor a set of points of interest (POIs) each with a weight indicating the value of its information to be collected ...
Peihuang Huang   +5 more
doaj   +1 more source

Damage Detection in Bridge Structures through Compressed Sensing of Crowdsourced Smartphone Data

open access: yesStructural Control and Health Monitoring, Volume 2024, Issue 1, 2024.
Traditional bridge health monitoring methods that necessitate sensor installation are not only costly but also time‐consuming. In contrast, utilizing smartphone data collected from vehicles as they traverse bridges offers an efficient and cost‐effective alternative. This paper introduces a cutting‐edge damage detection framework for indirect monitoring
Mohammad Talebi-Kalaleh   +2 more
wiley   +1 more source

Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies

open access: yesISPRS International Journal of Geo-Information, 2016
With the growing development of smart cities, public transit forecasting has begun to attract significant attention. In this paper, we propose an approach for forecasting passenger boarding choices and public transit passenger flow.
Ningyu Zhang   +3 more
doaj   +1 more source

Crowdsensing for Characterizing Mobility and Its Impact on the Subjective Wellbeing in an Underdeveloped Region

open access: yesApplied Sciences, 2020
Living in an underdeveloped region implies a higher cost of living: access to services, such as school, work, medical care, and groceries, becomes more costly than those who live in regions with better infrastructure.
A. G. Ramos   +2 more
doaj   +1 more source

Differentially Private Mobile Crowd Sensing Considering Sensing Errors

open access: yesSensors, 2020
An increasingly popular class of software known as participatory sensing, or mobile crowdsensing, is a means of collecting people’s surrounding information via mobile sensing devices. To avoid potential undesired side effects of this data analysis method,
Yuichi Sei, Akihiko Ohsuga
doaj   +1 more source

Sustainable Spectrum Crowdsensing

open access: yes2024 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
Spectrum crowdsensing is a paradigm where participants upload their collected spectrum data to the cloud for extracting analytics. First movers like Microsoft Spectrum Observatory and Electrosense, though with support from leading industry, research, and government, still suffer from sustainability challenges.
Zeng, Yijing   +4 more
openaire   +2 more sources

Optimizing Wirelessly Powered Crowd Sensing: Trading energy for data

open access: yes, 2017
To overcome the limited coverage in traditional wireless sensor networks, \emph{mobile crowd sensing} (MCS) has emerged as a new sensing paradigm. To achieve longer battery lives of user devices and incentive human involvement, this paper presents a ...
Andreev, Sergey   +4 more
core   +1 more source

A model for implementing vibration and sound heatmaps in smart cities based on crowdsensing data

open access: yesSmart Cities and Regional Development Journal, 2023
This paper aims to establish a model that can utilize vibration and sound heatmaps in smart traffic using Internet of things, mobile and web technologies.
Boban DAVIDOVIC   +2 more
doaj  

Edge Computing Architecture for Mobile Crowdsensing

open access: yesIEEE Access, 2018
Mobile crowdsensing (MCS) is a human-driven Internet of Things (IoT) service empowering citizens to observe phenomena of individual, community, or even societal value by sharing sensor data about their environment {; ; ; \color{; ; ; red}; ; ; while on the move}; ; ; .
Martina Marjanovic   +2 more
openaire   +3 more sources

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