Correlation of Estimated Sources in Human Brain Obtained by Source Localization Method with Waves Obtained by Telegrapher's Equation

2014 ◽  
Author(s):  
Aritra Chaudhuri ◽  
Biraja Shankar Bal ◽  
Aurobinda Routray
Keyword(s):  
Human Brain ◽  
Source Localization ◽  
Localization Method

scholarly journals A Study on Water Pollution Source Localization in Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Jun Yang ◽  
Xu Luo
Keyword(s):  
Water Pollution ◽  
Diffusion Model ◽  
Source Localization ◽  
Pollution Source ◽  
Good Choice ◽  
Diffusion Models ◽  
Hypotheses Testing ◽  
Localization Algorithm ◽  
Source Detection ◽  
Localization Method

The water pollution source localization is of great significance to water environment protection. In this paper, a study on water pollution source localization is presented. Firstly, the source detection is discussed. Then, the coarse localization methods and the localization methods based on diffusion models are introduced and analyzed, respectively. In addition, the localization method based on the contour is proposed. The detection and localization methods are compared in experiments finally. The results show that the detection method using hypotheses testing is more stable. The performance of the coarse localization algorithm depends on the nodes density. The localization based on the diffusion model can yield precise localization results; however, the results are not stable. The localization method based on the contour is better than the other two localization methods when the concentration contours are axisymmetric. Thus, in the water pollution source localization, the detection using hypotheses testing is more preferable in the source detection step. If concentration contours are axisymmetric, the localization method based on the contour is the first option. And, in case the nodes are dense and there is no explicit diffusion model, the coarse localization algorithm can be used, or else the localization based on diffusion models is a good choice.

Sign in / Sign up

Export Citation Format

Share Document