English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper discusses the characterization of landmine by using the electromagnetic induction technique (EMI). The proposed approach is based on the identiflcation of the physical and geometrical properties of a landmine, from the sensor response. But in such an identiflcation, the inverse problem is unavoidable. At flrst, we begin by simulating the landmine signature by solving a direct problem using the flnite element method which constitutes the direct model. After that, we determine the landmine characteristics by using an inverse model based on a cost function optimization. This model is based on an iterative process which coupling flnite element analysis and Particles Swarm Optimization (PSO). In this step, we apply two PSO techniques: the Standard PSO (SPSO) and the Improved PSO (IPSO), and discuss the problem of local minima of the cost function. The proposed iterative model is applied to determine the conductivity, geometry, and depth of metallic landmine from its signature measured by EMI. The numerical solution gives good results for the identiflcation of landmine.

AN EMI INVERSING PROBLEM FOR LANDMINE CHARACTERIZATION BASED ON IMPROVED PARTICLE SWARM OPTIMIZATION AND FINITE ELEMENT ANALYSIS