Computational Modeling of Detecting a Randomly Target in a Bounded Known Region

Authors

Abd Al-Aziz Hosni El-Bagoury, Department of Mathematics, Faculty of Science, Tanta University, Tanta, EgyptFollow
Sundus Naji Al-Aziz, Department of Mathematical Sciences, Faculty of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi ArabiaFollow
Huda M. Alshanbari, Department of Mathematical Sciences, Faculty of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi ArabiaFollow
Abdelmoniem Teamah, Department of Mathematics, Faculty of Science, Tanta University, Tanta, EgyptFollow

Author Country (or Countries)

Egypt

Abstract

This paper formulates a novel quartile coordinated search technique that finds a 3-D randomly located landmine. In addition we calculated the expected time to detect the landmine in Symmetric Coordinated search Technique (SCST). We introduce the optimal search strategy that minimizes the expected time for detecting the landmine assuming trivarite standard normal distribution in the cases SCST. An approximation algorithm has been introduced to facilitate searching procedures. The stochastic Euclidean distance between a known satellite equations and a randomly moving meteor in the 3 dimensional has been introduced. Also, we illustrate a technique known as coordinated search that completely characterizes the search for a randomly located target on the plane. The idea is to avoid wasting time looking for a missing target. Four searchers or robots start from the center of circle to search out a lost target, an illustrative application from real life has been introduced not only to demonstrate the applicability of this search technique but also to facilitate the using of constrained approaches and expectations.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/150414

Recommended Citation

Al-Aziz Hosni El-Bagoury, Abd; Naji Al-Aziz, Sundus; M. Alshanbari, Huda; and Teamah, Abdelmoniem (2021) "Computational Modeling of Detecting a Randomly Target in a Bounded Known Region," Applied Mathematics & Information Sciences: Vol. 15: Iss. 4, Article 14.
DOI: http://dx.doi.org/10.18576/amis/150414
Available at: https://digitalcommons.aaru.edu.jo/amis/vol15/iss4/14