Efficient sensor node selection for observability Gramian optimization
Optimization approaches that determine sensitive sensor nodes in a large-scale, linear time-
invariant, and discrete-time dynamical system are examined under the assumption of …
invariant, and discrete-time dynamical system are examined under the assumption of …
[HTML][HTML] Estimating background concentrations of PM2. 5 for urban air quality modelling in a data poor environment
EL Draper, JD Whyatt, RS Taylor, SE Metcalfe - Atmospheric Environment, 2023 - Elsevier
Atmospheric dispersion models are widely applied to simulate pollutant concentrations such
as PM 2.5 for use in long-and short-term health studies. A significant proportion of PM 2.5 …
as PM 2.5 for use in long-and short-term health studies. A significant proportion of PM 2.5 …
A wireless sensor network for monitoring environmental quality in the manufacturing industry
Urban industrial plant areas are highly concentrated, and air pollution is increasingly
serious. The quantity of outdoor air quality monitoring sites is insufficient. Aiming at the …
serious. The quantity of outdoor air quality monitoring sites is insufficient. Aiming at the …
D-optimal data fusion: Exact and approximation algorithms
We study the D-optimal Data Fusion (DDF) problem, which aims to select new data points,
given an existing Fisher information matrix, so as to maximize the logarithm of the …
given an existing Fisher information matrix, so as to maximize the logarithm of the …
On a sensor placement methodology for monitoring the vibrations of horizontally excited ground
In this paper, the problem of optimal sensor arrangement during vibration monitoring is
analysed. The wave propagation caused by horizontal excitation is investigated to predict …
analysed. The wave propagation caused by horizontal excitation is investigated to predict …
Green city air monitoring and architectural digital art design based on IoT embedded system
Y Ye, Q Wang, J Wang - Environmental Technology & Innovation, 2021 - Elsevier
Although air quality is the natural resource on which every modern person lives, the quality
of air quality will directly affect the healthy and sustainable development of our human …
of air quality will directly affect the healthy and sustainable development of our human …
A new area of utilizing industrial Internet of Things in environmental monitoring
HH Lou, R Mukherjee, Z Wang, T Olsen… - Frontiers in Chemical …, 2022 - frontiersin.org
Due to environmental regulations continually reducing emission quantity allowed over time,
there is a growing need for adaptable and feasible environmental monitoring, such as …
there is a growing need for adaptable and feasible environmental monitoring, such as …
Traffic exhaust to wildfires: PM2.5 measurements with fixed and portable, low-cost LoRaWAN-connected sensors
Air pollution with PM2. 5 (particulate matter smaller than 2.5 micro-metres in diameter) is a
major health hazard in many cities worldwide, but since measuring instruments have …
major health hazard in many cities worldwide, but since measuring instruments have …
Active Data Selection and Information Seeking
Bayesian inference typically focuses upon two issues. The first is estimating the parameters
of some model from data, and the second is quantifying the evidence for alternative …
of some model from data, and the second is quantifying the evidence for alternative …
Real-time optimal spatiotemporal sensor placement for monitoring air pollutants
R Mukherjee, UM Diwekar, N Kumar - Clean Technologies and …, 2020 - Springer
Air pollution exposure assessment involves monitoring of pollutant species concentrations in
the atmosphere along with their health impact assessment on the population. Often air …
the atmosphere along with their health impact assessment on the population. Often air …