Knowledge Resource Center for Ecological Environment in Arid Area
Inclination Angle Effect on Landmine Characteristics Estimation in Sandy Desert using Neural Networks | |
Ali, Hussein F. M.1; Zyada, Zakarya2,3; El Bab, Ahmed M. R. Fath4; Megahed, Said M.1 | |
通讯作者 | Ali, Hussein F. M. |
会议名称 | 10th Asian Control Conference (ASCC) |
会议日期 | MAY 31-JUN 03, 2015 |
会议地点 | Kota Kinabalu, MALAYSIA |
英文摘要 | Many places in the world are contaminated with Landmines, normally buried under shallow or deep layers of sand and mud, which causes landmine detection and/or removal to be challenging tasks. To design a reliable landmine sensing system some deep analysis and many test cases are required. In this paper, existence of landmine under the ground surface is examined and its inclination angle effect on detection is analyzed applying finite element method and artificial neural networks. Inverse analyses are used to produce `forward results'. Applying a contact pressure (lower than the expected landmine activation pressure) on the ground containing a landmine under its surface would produce a pressure distribution that is dependent on the landmine type, depth and inclination. COMSOL Multi-physics is applied to model sandy soil contaminated by two landmines of different types at different depths and surface pressure distribution is obtained applying external pressure load of 1kPa. Three NNs are trained applying the obtained surface pressure distribution data. The first NN is of perceptron type which classifies the introduced objects in sand. The other two NNs are of feed-forward NN type and are developed for estimating depths of two landmines of different types, one for each. The Landmine inclination angles (0 degrees-30 degrees) effect on detection rate is studied. The results are tabulated and justified. The results show that the anti-tank landmine is fully detected, while the anti-personnel landmine is only detected with a rate of 75%. It is also shown that landmine characteristics estimation is reliable when its inclination angle is small. |
英文关键词 | Landmine detection contact sensing finite element artificial neural networks inverse solution |
来源出版物 | 2015 10TH ASIAN CONTROL CONFERENCE (ASCC) |
ISSN | 2072-5639 |
出版年 | 2015 |
EISBN | 978-1-4799-7862-5 |
出版者 | IEEE |
类型 | Proceedings Paper |
语种 | 英语 |
国家 | Egypt;Malaysia |
收录类别 | CPCI-S |
WOS记录号 | WOS:000388123000242 |
WOS类目 | Automation & Control Systems |
WOS研究方向 | Automation & Control Systems |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/303593 |
作者单位 | 1.Egypt Japan Univ Sci & Technol, Mechatron & Robot Engn Dept, Alexandria, Egypt; 2.Univ Teknol Malaysia, Fac Mech Engn, Johor Baharu 81310, Malaysia; 3.Tanta Univ, Fac Engn, Mech Power Engn Dept, Tanta 31511, Egypt; 4.Asuit Univ, Fac Engn, Dept Mech Engn, Asuit, Egypt |
推荐引用方式 GB/T 7714 | Ali, Hussein F. M.,Zyada, Zakarya,El Bab, Ahmed M. R. Fath,et al. Inclination Angle Effect on Landmine Characteristics Estimation in Sandy Desert using Neural Networks[C]:IEEE,2015. |
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