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On crowdsensed data acquisition using multi-dimensional point processes
2015
2015 31st IEEE International Conference on Data Engineering Workshops
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In this paper we propose using multi-dimensional point processes (MDPPs), a mathematical modeling tool that can be effectively used for performing this data acquisition task. ...
Unlike traditional sensor network data, crowdsensed data has a highly skewed spatio-temporal distribution caused largely due to the mobility of sensors [1]. ...
Before we define multi-dimensional point processes (MDPPs) and discuss how they can be used for acquiring crowdsensed streams, we present two running examples that will be used throughout the paper. ...
doi:10.1109/icdew.2015.7129562
dblp:conf/icde/SatheSA15
fatcat:ao4ne7k4tjhszmd3fhaukcnqeq
Detailed author index
2015
2015 31st IEEE International Conference on Data Engineering Workshops
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d On Crowdsensed Data Acquisition Using Multi-Dimensional Point Processes
Schuh, Stefan
22
'!:!d AIR: Adaptive Index Replacement in Hadoop
Sellis, Timos
124 '!:! ...
d On Crowdsensed Data Acquisition Using Multi-Dimensional Point Processes
She, Jieying
216 m On Bottleneck-Aware Arrangement for Event-Based Social Networks
Shen, Zhitao
182 '!:! ...
doi:10.1109/icdew.2015.7129529
fatcat:4vkbzbkin5fvhmiibrbqxegjaq
A Survey on Social-Physical Sensing
[article]
2021
arXiv
pre-print
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is contriving as a pervasive sensing paradigm that leverages the observations from human participants equipped with portable devices and ubiquitous Internet connectivity (i.e., through social media or crowdsensing ...
Propelled by versatile data capture, communication, and computing technologies, physical sensing has revolutionized the avenue for spontaneously capturing and interpreting real-world phenomenon. ...
Data Acquisition Platforms A crucial component of the sensing process in SPS is the data collection. ...
arXiv:2104.01360v1
fatcat:b6sag5objzhezcfhscb3ctf2ca
High-precision GPS measurement method without geographical restrictions using crowd-sensing technology
2021
Earth Sciences Research Journal
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The performance of the crowdsensing network was improved through a regular hexagon-based crowd-smart big data sensing network deployment mechanism. ...
measurement method based on Google Earth, indicating that it has significant application value. ...
The technologies involved include big data storage and processing, data quality management, and multi-modal data mining. (5) Resource optimization of crowd-sensing network. ...
doi:10.15446/esrj.v24n4.92151
fatcat:yzsymqazkzdpblyk75p77uxacm
Toward Integrated Large-Scale Environmental Monitoring Using WSN/UAV/Crowdsensing: A Review of Applications, Signal Processing, and Future Perspectives
2022
Sensors
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sensor networks (WSNs), unmanned aerial vehicles (UAVs), and crowdsensing monitoring technologies. ...
processing techniques, the major pillars at the basis of future integrated (air, land, and water) and large-scale environmental monitoring systems. ...
Acknowledgments: The author would like to thank Angelo Coluccia for the insightful discussions on the topic and the extensive review of the paper. ...
doi:10.3390/s22051824
pmid:35270970
pmcid:PMC8914857
fatcat:xqcgx676mbckfpc2a6rurbfooq
Table of contents
2015
2015 31st IEEE International Conference on Data Engineering Workshops
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Safety Transportation by Means of Using Internet Survey
(Masahiro Miyaji)
On Crowdsensed Data Acquisition Using Multi-Dimensional Point Processes
(Saket Sathe, Timos Sellis, Karl Aberer)
Discovering ...
Dutta) 101 m Farm Biosecurity Hot Spots Prediction Using Big Data Analytics Scalable and Efficient Spatial Data Management on Multi-Core CPU and GPU Clusters: A Preliminary Implementation Based on Impala ...
doi:10.1109/icdew.2015.7129527
fatcat:qx6n4vxvfbhqvmoudli5b26ufa
Credibility on Crowdsensing Data Acquisition
2019
Journal of Communication and Information Systems
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This paper focuses on the credibility of crowd sensed data. The ubiquity of crowdsensing platforms has enabled the capture of sensed information useful for several applications domains. ...
The results show that the absence of standard models in the data capture process and the human factors such as individualism, inattention, and the possibility of errors (whether they are intentional or ...
Danielo acknowledges the financial support of the CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico-Brasil, processes #432585/2016-8, #311878/2016-4). ...
doi:10.14209/jcis.2019.26
fatcat:o4cja467jbgenap4akpxmcu3ym
Sense-making from Distributed and Mobile Sensing Data
2014
Proceedings of the The 51st Annual Design Automation Conference on Design Automation Conference - DAC '14
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sensor data collection, tunable approximate processing, and mobile networking architecture, to create a compressive collaborative mobile crowdsensing platform called SenseDroid. ...
The proposed framework is build using a multi-tired hierarchical architecture to sense spatial variations of a parameter of interest, perceive spatio-temporal fields, and enable energy efficient local ...
of the two-dimensional map to transform into a vector where N is the total no of grid points and x[k] represent the sensor measurement at k-th grid point. ...
doi:10.1145/2593069.2596688
dblp:conf/dac/SarmaVD14
fatcat:lawbt2bnhvd5nbmv2izjzn6grq
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions and Opportunities
2019
IEEE Communications Surveys and Tutorials
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For data collection, MCS systems rely on contribution from mobile devices of a large number of participants or a crowd. ...
Mobile crowdsensing (MCS) has gained significant attention in recent years and has become an appealing paradigm for urban sensing. ...
Multi-dimensional. Typically, applications that require the use of different sensors or multimedia applications produce multidimensional data. ...
doi:10.1109/comst.2019.2914030
fatcat:psvt24nrjbcldpixw6b7stzm3a
Key Quality Indicators Prediction for Web Browsing with Embedded Filter Feature Selection
2020
Applied Sciences
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Based on the service perception data crowd-sensed from massive smartphones in the mobile network, we first investigated the application of multi-label ReliefF, a well-known method of feature selection, ...
in determining the feature weights of the perception data and propose a unified multi-label ReliefF (UML-ReliefF) algorithm. ...
The general process of the perceptional data acquisition are as follows. ...
doi:10.3390/app10062141
fatcat:nymh4437izhntpnuesawmi2n3q
Quality of Information in Mobile Crowdsensing
2017
ACM transactions on sensor networks
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For a survey on mobile crowdsensing applications, we refer the reader to [92] . ...
For example, the cameras on smartphones can be used as video and image sensors [29] , the microphone can be used as an acoustic sensor [39, 154, 206] , and the embedded global positioning system (GPS) ...
ACKNOWLEDGEMENT We would like to thank the anonymous reviewers for their valuable comments, which helped us improve the quality of the paper. ...
doi:10.1145/3139256
fatcat:hgq6lcwmofhy3gpq4auqxuhggu
Space-Air-Ground Integrated Mobile Crowdsensing for Partially Observable Data Collection by Multi-Scale Convolutional Graph Reinforcement Learning
2022
Entropy
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Based on multi-source observations from embedded sensors and satellites, an aerial UAV swarm is required to carry out energy-efficient data collection and recharging tasks. ...
Our ms-SDRGN approach incorporates a multi-scale convolutional encoder to process multi-source raw observations for better feature exploitation. ...
Thirdly, case '-1GAT' disables one GAT layer and limits the ad-hoc communication to one-hop range, which decreases 0.08 points on CFE score and 530 points on reward. ...
doi:10.3390/e24050638
pmid:35626523
pmcid:PMC9140918
fatcat:ol64sxrv65cshaw3ucrtc23l64
Enabling Location-Based Services 2.0: Challenges and Opportunities
2014
2014 IEEE 15th International Conference on Mobile Data Management
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Future location-based applications/services will use the data generated by the new mobile devices for providing enhanced user experience. is paper presents a vision of such next-generation location-based ...
We present the challenges and opportunities that LBS . will pose for mobile data management. ...
In the future there will be a high demand for model-based data acquisition especially for the crowdsensing applications.
III. ...
doi:10.1109/mdm.2014.45
dblp:conf/mdm/SatheMBK14
fatcat:23via46c2zb65ixrrb7lznqqrm
IEEE Access Special Section: Intelligent Data Sensing, Collection, and Dissemination in Mobile Computing
2020
IEEE Access
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The article ''Multi-step data prediction in wireless sensor networks based on one-dimensional CNN and bidirectional LSTM,'' by Cheng et al., proposes a new multi-step sensory data prediction model for ...
The article ''Multi-sensor data fusion based on improved analytic hierarchy process,'' by Deng and Wang, uses multiple criteria factors to measure the degree of conflict between the evidence. ...
doi:10.1109/access.2020.3040051
fatcat:kgd4vkzh6bei5c6ckjdxmfygh4
Acting Selfish for the Good of All: Contextual Bandits for Resource-Efficient Transmission of Vehicular Sensor Data
[article]
2020
arXiv
pre-print
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as a novel client-based method for resource-efficient opportunistic transmission of delay-tolerant vehicular sensor data. ...
BS-CB applies a hybrid approach which brings together all major machine learning disciplines - supervised, unsupervised, and reinforcement learning - in order to autonomously schedule vehicular sensor data ...
Instead of using a multi-dimensional feature vector of raw context measurements for the autonomous decision making, we use an intermediate supervised learning step to forecast the currently achievable ...
arXiv:2007.09921v1
fatcat:j5to3mcplfb3fhvliear3uq44y
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