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Mostrando ítems 1-10 de 22022
Probabilistic backward location for the identification of multi-source nitrate contamination
(Springer, 2021-01-07)
Nitrate represents the most widespread contaminant in shallow aquifers, especially in urban areas, and poses risks to human health, when the contaminated groundwater is ingested. In urban environments, the release of nitrate ...
UAV-based air pollutant source localization using gradient and probabilistic methods
(Institute of Electrical and Electronics Engineers Inc., 2018)
This work proposes an algorithm for air pollutant source localization using an Unmanned Aerial Vehicle (UAV). The algorithm combines a gradient-based search with a probabilistic method to localize the pollutant source. The ...
Considerations of a high repitition Capillary Discharge operated in nitrogen as a water-window X-ray microscope source
(IEEE, 2009)
The capillary discharge is a very bright radiation source. When operated as a ns discharge at a peak current of order 10 kA and at a high repetition rate of order 200 Hz a very bright source at 13.5 nm is obtained. We ...
UAV-Based air pollutant source localization using combined metaheuristic and probabilistic methods
(2019)
Air pollution is one of the greatest risks for the health of people. In recent years, platforms based on Unmanned Aerial Vehicles (UAVs) for the monitoring of pollution in the air have been studied to deal with this problem, ...
Optimal location of heat sources on a vertical wall with natural convection through genetic algorithms
(Pergamon-elsevier Science LtdOxfordInglaterra, 2006)
Model for facilities or vendors location in a global scale considering several echelons in the Chain
(SPRINGER, 2008)
The facilities location problem for companies with global operations is very complex and not well explored in the literature. This work proposes a MILP model that solves the problem through minimization of the total logistic ...
Complex Dissipating Energy Flow Method for Forced Oscillation Source Location
(Institute of Electrical and Electronics Engineers, 2022)
Fault Location in Distribution Systems Based on Smart Feeder Meters
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2014)