Finding and monitoring number of living entities through unmanned aerial

Author

Salman, Mahdi Abd

Source

Journal of Kufa for Mathematics and Computer

Issue

Vol. 9, Issue 2 (31 Aug. 2022), pp.23-27, 5 p.

Publisher

University of Kufa Faculty of Mathematics and Computers Science

Publication Date

2022-08-31

Country of Publication

Iraq

No. of Pages

5

Main Subjects

Information Technology and Computer Science

Abstract EN

The rapid development of Unmanned Aerial Vehicles UAVs technology opens many new application areas.

One of these applications is remote monitoring for living entities (Humans or Animals) within a known area for safety and protection purposes.

UAVs are programmable to carry missions according to a specified algorithm.

Their ability of movements and actions provide solutions with a reasonable cost.

However, how a set of UAVs doing a mission behave cooperatively need to be tested and evaluated in a lab with simulation before moving to operation field.

In this paper, a model for scanning determined area using a set of cooperative UAVs is developed and tested.

The objective is reducing operation time.

The set of affecting parameters is examined.

The model is simulated using NetLogo agent-based simulation tool.

The results of the experiment of a various settings are conducted.

American Psychological Association (APA)

Salman, Mahdi Abd. 2022. Finding and monitoring number of living entities through unmanned aerial. Journal of Kufa for Mathematics and Computer،Vol. 9, no. 2, pp.23-27.
https://search.emarefa.net/detail/BIM-1494391

Modern Language Association (MLA)

Salman, Mahdi Abd. Finding and monitoring number of living entities through unmanned aerial. Journal of Kufa for Mathematics and Computer Vol. 9, no. 2 (Aug. 2022), pp.23-27.
https://search.emarefa.net/detail/BIM-1494391

American Medical Association (AMA)

Salman, Mahdi Abd. Finding and monitoring number of living entities through unmanned aerial. Journal of Kufa for Mathematics and Computer. 2022. Vol. 9, no. 2, pp.23-27.
https://search.emarefa.net/detail/BIM-1494391

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 27

Record ID

BIM-1494391