technology applied in the operation and detection of antipersonnel mines: state of the art

Clicks: 238
ID: 199344
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #2 of 8 articles by views in sociologia (italy)

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
The main objective of this investigation is to know the different technologies implemented for the detection of antipersonnel mines, documented by different bibliographic means of the latest updates used for the detection of buried objects, the factors that affect the loss of energy of the waves as transmitters of information between them, the characteristics of the soil, the amplitude of the emitted signal, the frequency and the conditions of the terrain. This paper informs about the computational means, of their work with the different algorithms to model correct information of what is happening with the phenomenon of detection. Thus, through this research, the scientific community is informed on the parameters of magnetic susceptibility, the percentage of water and porosity of the environment where the emitted waves react, the difficulty of the stability of the signal to be captured to detect antipersonnel mines, in a geographical context. Currently, PVC tubes, cans, syringes and hand-held devices are being used for their production, and the waves will behave differently against these materials.
Reference Key
ledezma-ros2017ingenieratechnology Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Javier Andrés Ledezma-Ríos
Journal sociologia (italy)
Year 2017
DOI
10.19053/1900771X.v17.n2.2017.7182
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.