Underground tunnel detection across border areas

K. V. Nibi; K. A.Unnikrishna Menon; Preeja Pradeep

doi:10.1007/978-81-322-2656-7_14

Underground tunnel detection across border areas

K. V. Nibi
, K. A.Unnikrishna Menon
, Preeja Pradeep

Amrita Vishwa Vidyapeetham

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Abstract

Tunnels are considered as the oldest method of passageway. Underground tunnels are popular from olden eras for connecting places, travelling, and aid for various surface threats. They are also used for illegal activities like smuggling of unlicensed drugs, weapons, currency, gold, explosives, and even human trafficking is being done through these tunnels. These immoral activities are concentrated in national border areas in order to escape from the border security measures. Hence the detection processes of such tunnels in the national security border areas are necessary in order to protect our homeland security systems. The geology plays an important role in the detection of the underground tunnel system procedures. There is no perfect system for the tunnel detection and localization and even today the tunnels revealed in coincidence. The basic principle to find the hollow space (tunnel) is, by sending an ultrasonic frequency signal into the ground, and study the reflected beam from the tunnel or the hollow space. By analyzing the reflected signal characteristics, preliminary detection of a tunnel/void is possible. Basic idea of the detection is to perform the range estimation algorithm (REA) by pulse echo method. From these, we can estimate the depth of the tunnel. The characteristics of the signal at the soil-tunnel (air) reflection interface are to be investigated.

Original language	English
Title of host publication	Artificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015
Editors	Bijaya Ketan Panigrahi, M. Arun Bhaskar, Swagatam Das, Subhransu Sekhar Dash
Publisher	Springer Verlag
Pages	151-162
Number of pages	12
ISBN (Print)	9788132226543
DOIs	https://doi.org/10.1007/978-81-322-2656-7_14
Publication status	Published - 2016
Externally published	Yes
Event	International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015 - Chennai, India Duration: 22 Apr 2015 → 23 Apr 2015

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	394
ISSN (Print)	2194-5357

Conference

Conference	International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015
Country/Territory	India
City	Chennai
Period	22/04/15 → 23/04/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 8 Decent Work and Economic Growth
SDG 16 Peace, Justice and Strong Institutions

Keywords

Cross correlation
Peak detection
Pulse echo method
Range estimation
Ultrasonic frequency

Access to Document

10.1007/978-81-322-2656-7_14

Cite this

Nibi, K. V., Menon, K. A. U., & Pradeep, P. (2016). Underground tunnel detection across border areas. In B. K. Panigrahi, M. A. Bhaskar, S. Das, & S. S. Dash (Eds.), Artificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015 (pp. 151-162). (Advances in Intelligent Systems and Computing; Vol. 394). Springer Verlag. https://doi.org/10.1007/978-81-322-2656-7_14

Nibi, K. V. ; Menon, K. A.Unnikrishna ; Pradeep, Preeja. / Underground tunnel detection across border areas. Artificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015. editor / Bijaya Ketan Panigrahi ; M. Arun Bhaskar ; Swagatam Das ; Subhransu Sekhar Dash. Springer Verlag, 2016. pp. 151-162 (Advances in Intelligent Systems and Computing).

@inproceedings{c036541eaa3c40039dac310dedaddda8,

title = "Underground tunnel detection across border areas",

abstract = "Tunnels are considered as the oldest method of passageway. Underground tunnels are popular from olden eras for connecting places, travelling, and aid for various surface threats. They are also used for illegal activities like smuggling of unlicensed drugs, weapons, currency, gold, explosives, and even human trafficking is being done through these tunnels. These immoral activities are concentrated in national border areas in order to escape from the border security measures. Hence the detection processes of such tunnels in the national security border areas are necessary in order to protect our homeland security systems. The geology plays an important role in the detection of the underground tunnel system procedures. There is no perfect system for the tunnel detection and localization and even today the tunnels revealed in coincidence. The basic principle to find the hollow space (tunnel) is, by sending an ultrasonic frequency signal into the ground, and study the reflected beam from the tunnel or the hollow space. By analyzing the reflected signal characteristics, preliminary detection of a tunnel/void is possible. Basic idea of the detection is to perform the range estimation algorithm (REA) by pulse echo method. From these, we can estimate the depth of the tunnel. The characteristics of the signal at the soil-tunnel (air) reflection interface are to be investigated.",

keywords = "Cross correlation, Peak detection, Pulse echo method, Range estimation, Ultrasonic frequency",

author = "Nibi, \{K. V.\} and Menon, \{K. A.Unnikrishna\} and Preeja Pradeep",

note = "Publisher Copyright: {\textcopyright} Springer India 2016.; International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015 ; Conference date: 22-04-2015 Through 23-04-2015",

year = "2016",

doi = "10.1007/978-81-322-2656-7\_14",

language = "English",

isbn = "9788132226543",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "151--162",

editor = "Panigrahi, \{Bijaya Ketan\} and Bhaskar, \{M. Arun\} and Swagatam Das and Dash, \{Subhransu Sekhar\}",

booktitle = "Artificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015",

address = "Germany",

}

Nibi, KV, Menon, KAU & Pradeep, P 2016, Underground tunnel detection across border areas. in BK Panigrahi, MA Bhaskar, S Das & SS Dash (eds), Artificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015. Advances in Intelligent Systems and Computing, vol. 394, Springer Verlag, pp. 151-162, International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015, Chennai, India, 22/04/15. https://doi.org/10.1007/978-81-322-2656-7_14

Underground tunnel detection across border areas. / Nibi, K. V.; Menon, K. A.Unnikrishna; Pradeep, Preeja.
Artificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015. ed. / Bijaya Ketan Panigrahi; M. Arun Bhaskar; Swagatam Das; Subhransu Sekhar Dash. Springer Verlag, 2016. p. 151-162 (Advances in Intelligent Systems and Computing; Vol. 394).

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - Underground tunnel detection across border areas

AU - Nibi, K. V.

AU - Menon, K. A.Unnikrishna

AU - Pradeep, Preeja

N1 - Publisher Copyright: © Springer India 2016.

PY - 2016

Y1 - 2016

N2 - Tunnels are considered as the oldest method of passageway. Underground tunnels are popular from olden eras for connecting places, travelling, and aid for various surface threats. They are also used for illegal activities like smuggling of unlicensed drugs, weapons, currency, gold, explosives, and even human trafficking is being done through these tunnels. These immoral activities are concentrated in national border areas in order to escape from the border security measures. Hence the detection processes of such tunnels in the national security border areas are necessary in order to protect our homeland security systems. The geology plays an important role in the detection of the underground tunnel system procedures. There is no perfect system for the tunnel detection and localization and even today the tunnels revealed in coincidence. The basic principle to find the hollow space (tunnel) is, by sending an ultrasonic frequency signal into the ground, and study the reflected beam from the tunnel or the hollow space. By analyzing the reflected signal characteristics, preliminary detection of a tunnel/void is possible. Basic idea of the detection is to perform the range estimation algorithm (REA) by pulse echo method. From these, we can estimate the depth of the tunnel. The characteristics of the signal at the soil-tunnel (air) reflection interface are to be investigated.

AB - Tunnels are considered as the oldest method of passageway. Underground tunnels are popular from olden eras for connecting places, travelling, and aid for various surface threats. They are also used for illegal activities like smuggling of unlicensed drugs, weapons, currency, gold, explosives, and even human trafficking is being done through these tunnels. These immoral activities are concentrated in national border areas in order to escape from the border security measures. Hence the detection processes of such tunnels in the national security border areas are necessary in order to protect our homeland security systems. The geology plays an important role in the detection of the underground tunnel system procedures. There is no perfect system for the tunnel detection and localization and even today the tunnels revealed in coincidence. The basic principle to find the hollow space (tunnel) is, by sending an ultrasonic frequency signal into the ground, and study the reflected beam from the tunnel or the hollow space. By analyzing the reflected signal characteristics, preliminary detection of a tunnel/void is possible. Basic idea of the detection is to perform the range estimation algorithm (REA) by pulse echo method. From these, we can estimate the depth of the tunnel. The characteristics of the signal at the soil-tunnel (air) reflection interface are to be investigated.

KW - Cross correlation

KW - Peak detection

KW - Pulse echo method

KW - Range estimation

KW - Ultrasonic frequency

UR - https://www.scopus.com/pages/publications/84959120736

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DO - 10.1007/978-81-322-2656-7_14

M3 - Conference proceeding

AN - SCOPUS:84959120736

SN - 9788132226543

T3 - Advances in Intelligent Systems and Computing

SP - 151

EP - 162

BT - Artificial Intelligence and Evolutionary Computations in Engineering Systems - Proceedings of ICAIECES 2015

A2 - Panigrahi, Bijaya Ketan

A2 - Bhaskar, M. Arun

A2 - Das, Swagatam

A2 - Dash, Subhransu Sekhar

PB - Springer Verlag

T2 - International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, ICAIECES 2015

Y2 - 22 April 2015 through 23 April 2015

ER -

Underground tunnel detection across border areas

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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