E.I. Dukhan - Ph. D. (Eng.), Assistant Professor А.E. Dukhan V.Yu. Sazonov

The practical interest is the assessment of potential characteristics TMSO block decision-making (BDM), which is based on the classical threshold circuit or uses advanced mathematical algorithms for machine learning. This study was conducted to CO with horizontal placement of the two SE, each of which consists of three MPD, equipped with a magnetic concentrator system (MS), and ensuring registration of the three spatial components of the magnetic field caused by the presence in a controlled area of the magnetized object detection. Further studies TMSO based MRD can be directed to the development of the algorithm for determining not only the height but also the transverse coordinate NGO movement, as well as to search for the optimal location of the primary converters in a controlled space.

 

1. Dukhan E.I., Zakharkin G.F., Sazonov V.JU. Primenenie magnitorezistivnykh datchikov s koncentratorom polja dlja obnaruzhenija zapreshhennykh metallicheskikh predmetov // T-Comm Telekommunikacija i transport. 2011. № 10. S. 28−31.
2. Krjukov I.N., Zvezhinskijj S.S., Ivanov V.A. i dr. Magnitometricheskie sredstva obnaruzhenija. Teorija i praktika postroenija / Pod red. I.N. Krjukova. M.: Radiotekhnika. 2013. 192 s.
3. Breiman L. Random forests // Machine learning. 2001. V. 45. № 1. P. 5−32.
4. Schapire R.E. The boosting approach to machine learning: An overview // Nonlinear estimation and classification. Springer. New York. 2003. P. 149−171.