The rise of low-cost sensing for managing air pollution in cities.
Prashant Kumar,Lidia Morawska,Claudio Martani,George Biskos,George Biskos,George Biskos,Marina Neophytou,Silvana Di Sabatino,Margaret Bell,Leslie Norford,Rex Britter +10 more
TLDR
The drivers behind current rises in the use of low-cost sensors for air pollution management in cities are illustrated, while addressing the major challenges for their effective implementation.About:
This article is published in Environment International.The article was published on 2015-02-01 and is currently open access. It has received 591 citations till now. The article focuses on the topics: Pollution.read more
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Proceedings ArticleDOI
Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data
Jelle Hofman,Martha E. Nikolaou,Tien Huu Do,Xuening Qin,Esther Rodrigo,Wilfried Philips,Nikos Deligiannis,Valerio Panzica La Manna +7 more
TL;DR: An innovative IoT approach for highly granular air quality mapping in cities relying on a combination of cloud-calibrated fixed and mobile air quality sensors and machine learning approaches to infer the collected spatiotemporal point measurements in both space and time is presented.
Journal ArticleDOI
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks
TL;DR: This work proposes a data-driven model based on deep neural networks, referred to as AirNet, for calibrating low-cost air monitoring sensors, and evaluates the proposed method on two real-world datasets and compares it with six baselines.
Journal ArticleDOI
Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season
TL;DR: In this article , the authors demonstrate the use of a network of low-cost particulate matter (PM) sensors to gather indoor and outdoor PM2.5 data from seven locations in the urban Seattle area, along with a personal exposure monitor worn by a resident living in one of these locations during the 2020 Washington wildfire event.
Journal ArticleDOI
Calibrating networks of low-cost air quality sensors
Priyanka DeSouza,Ralph A. Kahn,T Stockman,William Obermann,Ben Crawford,An Wang,James L. Cook,Jing Li,Patrick L. Kinney +8 more
TL;DR: In this article , the authors evaluated the transferability of calibration models developed at co-location sites to the rest of an air pollution monitoring network, even after appropriate cross-validation, and provided a series of transferability metrics for calibration metrics that can be used in other LCS networks and some suggestions as to which calibration model would be most useful for achieving different end-goals.
References
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Journal ArticleDOI
Toxic Potential of Materials at the Nanolevel
TL;DR: The establishment of principles and test procedures to ensure safe manufacture and use of nanomaterials in the marketplace is urgently required and achievable.
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Sensor networks: evolution, opportunities, and challenges
Chee-Yee Chong,Sanjeev Kumar +1 more
TL;DR: The history of research in sensor networks over the past three decades is traced, including two important programs of the Defense Advanced Research Projects Agency (DARPA) spanning this period: the Distributed Sensor Networks (DSN) and the Sensor Information Technology (SensIT) programs.
Journal ArticleDOI
A survey of mobile phone sensing
Nicholas D. Lane,Emiliano Miluzzo,Hong Lu,Daniel Peebles,Tanzeem Choudhury,Andrew T. Campbell +5 more
TL;DR: This article surveys existing mobile phone sensing algorithms, applications, and systems, and discusses the emerging sensing paradigms, and formulates an architectural framework for discussing a number of the open issues and challenges emerging in the new area ofMobile phone sensing research.
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Conduction Model of Metal Oxide Gas Sensors
Nicolae Barsan,Udo Weimar +1 more
TL;DR: In this article, the authors provide a frame model that deals with all contributions involved in conduction within a real world sensor, and then summarize the contributions together with their interactions in a general applicable model for real world gas sensors.