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NoizCrowd: A Crowd-Based Data Gathering and Management System for Noise Level Data [chapter]

Mariusz Wisniewski, Gianluca Demartini, Apostolos Malatras, Philippe Cudré-Mauroux
2013 Lecture Notes in Computer Science  
We have implemented our methods in a system, NoizCrowd, allowing to crowdsource noise levels in a given region and to generate noise models by using state-of-the-art noise propagation models and array  ...  data management techniques.  ...  Acknowledgments This work was supported (in part) by the Swiss National Science Foundation under grant numbers PP00P2 128459 (Infrastructures for Community-Based Data Management) and 200021 130132 (BioMPE  ... 
doi:10.1007/978-3-642-40276-0_14 fatcat:yf4lnpblcbgcdffyt3vm7peoga

Mobile crowd sensing for urban computing

2016 International Journal of Latest Trends in Engineering and Technology  
This data can be used to build a sustainable framework for urban management. Urban data is big data characterized by high volume, high velocity and heterogeneity.  ...  Needless to say, a city forms a complex, social ecosystem, and urban computing and management becomes a challenging area. So, what is urban computing?  ...  in DB(A), tag and generated and her email id upload it to visualize noise maps is not displayed. 2 NoizCrowd A crowd-based Data Gathering Aggregation Use of SciDB for data [9] and Management System for  ... 
doi:10.21172/1.74.047 fatcat:df72k25tdne5fouv333744zwte

Noise mapping based on participative measurements

Gwenaël Guillaume, Arnaud Can, Gwendall Petit, Nicolas Fortin, Sylvain Palominos, Benoit Gauvreau, Erwan Bocher, Judicaël Picaut
2016 Noise Mapping  
In this context, the OnoM@p system aims at offering a framework for capitalizing on crowd noise data recorded by inexperienced individuals by means of an especially designed mobile phone application.  ...  data in order to provide higherlevel indicators, and to map the collected and processed data based on web services.  ...  Acknowledgement: The ENERGIC-OD Project (European Network for Redistributing Geospatial Information to user Communities -Open Data) is partially funded under the ICT Policy Support Programme (ICT PSP)  ... 
doi:10.1515/noise-2016-0011 fatcat:ihktkbnavbeyhjuazmfgzcnosa

A Survey on Smartphone-Based Crowdsensing Solutions

Willian Zamora, Carlos T. Calafate, Juan-Carlos Cano, Pietro Manzoni
2016 Mobile Information Systems  
In this paper, we provide a survey of smartphone-based crowdsensing solutions that have emerged in the past few years, focusing on 64 works published in top-ranked journals and conferences.  ...  To properly analyze these previous works, we first define a reference framework based on how we classify the different proposals under study.  ...  I+D+I 2014, Spain, under Grant TEC2014-52690-R, the "Universidad Laica Eloy Alfaro de Manabí-ULEAM," and the "Programa de Becas SENESCYT de la República del Ecuador."  ... 
doi:10.1155/2016/9681842 fatcat:zzmclqr72nd5nbloyoo6stgzlq

Accurate Ambient Noise Assessment Using Smartphones

Willian Zamora, Carlos Calafate, Juan-Carlos Cano, Pietro Manzoni
2017 Sensors  
We analyze different candidate algorithms using different types of smartphones, and we study the most adequate time period and sampling strategy to optimize the data-gathering process.  ...  Experimental results show that, if the smartphone application is well tuned, it is possible to measure noise levels with a accuracy degree comparable to professional devices for the entire dynamic range  ...  Calafate, Juan-Carlos Cano and Pietro Manzoni analyzed the data and wrote the paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s17040917 pmid:28430126 pmcid:PMC5426841 fatcat:jfla75uk2beqrl26lkph26u66y

Urban Noise Computing for Event Discovery

Prajakta Joglekar, Vrushali Kulkarni
unpublished
Citizen science, when combined with Mobile crowdsensing and Data mining can help researchers and town planners to collect urban noise data at a massive spatio-temporal scale, and analyse it to understand  ...  Smart City initiative aims to improve the quality of life of its citizens by building a strong and resilient framework for the city.  ...  REST APIs are provided to the developers to download average noise levels by geocoordinates. Zappatore and his team have developed a mobile crowd sensing system to gather noise measurements [8] .  ... 
fatcat:r7ez2jdb65d2lbz3n4nwx5c57e