A novel target recognition scheme for WSNs

Mohammed Al-Naeem; Asad I. Khan

doi:10.1109/IJCNN.2012.6252700

A novel target recognition scheme for WSNs

Mohammed Al-Naeem, Asad I. Khan

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

Abstract

Many existing pattern recognition schemes in wireless sensor networks suffer from pattern displacement, pattern scaling, and pattern rotation issues. We propose a novel one-shot learning associative memory method for target recognition in wireless sensor networks. This method, known as Macroscopic Object Heuristics Algorithm (MOHA), is able to address all of the above issues. Our proposed scheme is also capable of reducing the power and memory consumptions of wireless sensor networks. The experimental results show that the proposed scheme can effectively and efficiently handle pattern displaced, pattern scaling, and pattern rotation issues.

Original language	English
Title of host publication	The 2012 International Joint Conference on Neural Networks (IJCNN 2012)
Subtitle of host publication	10-15 June 2012, Brisbane, QLD, Australia [proceedings]
Editors	Daryl Essam, Ruhul Sarker
Place of Publication	Piscataway, NJ [USA]
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2413-2418
Number of pages	6
ISBN (Print)	9781467314909, 9781467314886
DOIs	https://doi.org/10.1109/IJCNN.2012.6252700
Publication status	Published - 2012
Event	IEEE International Joint Conference on Neural Networks 2012 - Brisbane Convention & Exhibition Centre, Brisbane, Australia Duration: 10 Jun 2012 → 15 Jun 2012 https://ieeexplore.ieee.org/xpl/conhome/6241467/proceeding (Proceedings)

Conference

Conference	IEEE International Joint Conference on Neural Networks 2012
Abbreviated title	IJCNN 2012
Country/Territory	Australia
City	Brisbane
Period	10/06/12 → 15/06/12
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6241467/proceeding (Proceedings)

Keywords

Wireless sensor networks
Graph Neuron
Macroscopic Object Heuristics Algorithm
Object recognition
Pattern recognition
Associative memory
Sensor field

Access to Document

10.1109/IJCNN.2012.6252700

Cite this

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title = "A novel target recognition scheme for WSNs",

abstract = "Many existing pattern recognition schemes in wireless sensor networks suffer from pattern displacement, pattern scaling, and pattern rotation issues. We propose a novel one-shot learning associative memory method for target recognition in wireless sensor networks. This method, known as Macroscopic Object Heuristics Algorithm (MOHA), is able to address all of the above issues. Our proposed scheme is also capable of reducing the power and memory consumptions of wireless sensor networks. The experimental results show that the proposed scheme can effectively and efficiently handle pattern displaced, pattern scaling, and pattern rotation issues.",

keywords = "Wireless sensor networks, Graph Neuron, Macroscopic Object Heuristics Algorithm, Object recognition, Pattern recognition, Associative memory, Sensor field",

author = "Mohammed Al-Naeem and Khan, {Asad I.}",

year = "2012",

doi = "10.1109/IJCNN.2012.6252700",

language = "English",

isbn = "9781467314909",

pages = "2413--2418",

editor = "Daryl Essam and Ruhul Sarker",

booktitle = "The 2012 International Joint Conference on Neural Networks (IJCNN 2012)",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Joint Conference on Neural Networks 2012, IJCNN 2012 ; Conference date: 10-06-2012 Through 15-06-2012",

url = "https://ieeexplore.ieee.org/xpl/conhome/6241467/proceeding",

}

Al-Naeem, M & Khan, AI 2012, A novel target recognition scheme for WSNs. in D Essam & R Sarker (eds), The 2012 International Joint Conference on Neural Networks (IJCNN 2012): 10-15 June 2012, Brisbane, QLD, Australia [proceedings]. IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ [USA], pp. 2413-2418, IEEE International Joint Conference on Neural Networks 2012, Brisbane, Queensland, Australia, 10/06/12. https://doi.org/10.1109/IJCNN.2012.6252700

A novel target recognition scheme for WSNs. / Al-Naeem, Mohammed; Khan, Asad I.
The 2012 International Joint Conference on Neural Networks (IJCNN 2012): 10-15 June 2012, Brisbane, QLD, Australia [proceedings]. ed. / Daryl Essam; Ruhul Sarker. Piscataway, NJ [USA]: IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 2413-2418.

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

TY - GEN

T1 - A novel target recognition scheme for WSNs

AU - Al-Naeem, Mohammed

AU - Khan, Asad I.

PY - 2012

Y1 - 2012

N2 - Many existing pattern recognition schemes in wireless sensor networks suffer from pattern displacement, pattern scaling, and pattern rotation issues. We propose a novel one-shot learning associative memory method for target recognition in wireless sensor networks. This method, known as Macroscopic Object Heuristics Algorithm (MOHA), is able to address all of the above issues. Our proposed scheme is also capable of reducing the power and memory consumptions of wireless sensor networks. The experimental results show that the proposed scheme can effectively and efficiently handle pattern displaced, pattern scaling, and pattern rotation issues.

AB - Many existing pattern recognition schemes in wireless sensor networks suffer from pattern displacement, pattern scaling, and pattern rotation issues. We propose a novel one-shot learning associative memory method for target recognition in wireless sensor networks. This method, known as Macroscopic Object Heuristics Algorithm (MOHA), is able to address all of the above issues. Our proposed scheme is also capable of reducing the power and memory consumptions of wireless sensor networks. The experimental results show that the proposed scheme can effectively and efficiently handle pattern displaced, pattern scaling, and pattern rotation issues.

KW - Wireless sensor networks

KW - Graph Neuron

KW - Macroscopic Object Heuristics Algorithm

KW - Object recognition

KW - Pattern recognition

KW - Associative memory

KW - Sensor field

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U2 - 10.1109/IJCNN.2012.6252700

DO - 10.1109/IJCNN.2012.6252700

M3 - Conference Paper

SN - 9781467314909

SN - 9781467314886

SP - 2413

EP - 2418

BT - The 2012 International Joint Conference on Neural Networks (IJCNN 2012)

A2 - Essam, Daryl

A2 - Sarker, Ruhul

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CY - Piscataway, NJ [USA]

T2 - IEEE International Joint Conference on Neural Networks 2012

Y2 - 10 June 2012 through 15 June 2012

ER -

A novel target recognition scheme for WSNs

Abstract

Conference

Keywords

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MOHA: A novel target recognition scheme for WSNs

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