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Update on Sunday, 24 December 2023: Paper 12.Cnf-88 reaches 1229 views and 463 downloads.
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  • GC-MCWC 2006
  • 1.Cnf-3
Papers Published at GC-MCWC 2006
All 8 Papers
IDAuthors and TitlePages
1.Cnf-1

GS Citations

Dr. Baber Aslam
Dr. Muhammad H. Islam
Dr. Shoab Khan
802.11 disassociation DoS attack and its solutions: a survey
1-6
1.Cnf-2

GS Citations

Dr. Baber Aslam
Dr. Muhammad H. Islam
Dr. Shoab Khan
Pseudo randomized sequence number based solution to 802.11 disassociation denial of service attack
7-12
1.Cnf-3

GS Citations

Dr. Maurizio Bocca
Mr. Cristian Galperti
Dr. Reino Virrankoski
Prof. Heikki Koivo
Estimating the number of persons in an unknown indoor environment by applying wireless acoustic sensors and blind signal separation
13-18
1.Cnf-6

GS Citations

Ms. Carmen Beatriz Rodriguez Estrello
Dr. Felipe A. Cruz-PĂ©rez
Dr. Genaro Hernandez-Valdez
System level model for the wireless channel unreliability in mobile cellular networks
19-24
1.Cnf-8 Prof. Marco Avvenuti
Prof. Paolo Corsini
Dr. Paolo Masci
Dr. Alessio Vecchio
Increasing the efficiency of preamble sampling protocols for wireless sensor networks
25-30
1.Cnf-70 Dr. Athanasios Doukas
Dr. Grigorios Kalivas
A Novel Blind Delay Spread Estimation Using Frequency Correlation for Wireless OFDM Systems
31-34
1.Cnf-73

GS Citations

Prof. Arwa Zabian
Power management mechanism for routing in ad-hoc wireless networks
35-40
1.Cnf-74 Dr. Mohamed K. Nezami
Cellular base-station digital controlled multi-carrier feed forward linearized transmitter
41-48
1.Cnf-3 Paper View Page
Title Estimating the number of persons in an unknown indoor environment by applying wireless acoustic sensors and blind signal separation
Authors Dr. Maurizio Bocca, Aalto University, Helsinki, Finland
Mr. Cristian Galperti, Politecnico di Milano, Milan, Italy
Dr. Reino Virrankoski, Aalto University, Helsinki, Finland
Prof. Heikki Koivo, Aalto University, Helsinki, Finland
Abstract Determining the number of persons and their locations in an unknown indoor environment is one of the first tasks that must be done in military, rescue or intelligence operations. If there is no functioning security system in the building, one must use a monitoring system, which is rapidly deployable but simultaneously as invisible as possible. Wireless sensor network is an attractive candidate to fill such requirements. Many sensor types are suitable for indoor situation modeling, but there are also several technical challenges rising from the limited energy and communication resources of the sensor nodes. This paper focuses on estimating the number of persons in an unknown indoor environment by using low-power acoustic sensors. The number of persons is estimated by applying blind signal separation to the acoustic signal collected by the sensor nodes.
Track WCN: Wireless Communication Networks
Conference 1st Mosharaka International Conference on Mobile Computing and Wireless Communications (MIC-MCWC 2006)
Congress 2006 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2006), 17-20 September 2006, Amman, Jordan
Pages 13-18
Topics Wireless Ad hoc Networks
Wireless Sensor Networks
ISSN 2227-331X
DOI
BibTeX @inproceedings{3MCWC2006,
title={Estimating the number of persons in an unknown indoor environment by applying wireless acoustic sensors and blind signal separation},
author={Maurizio Bocca, and Cristian Galperti, and Reino Virrankoski, and Heikki Koivo},
booktitle={2006 Global Congress on Mobile Computing and Wireless Communications (GC-MCWC 2006)},
year={2006},
pages={13-18},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 63 Paper Views Rank 6/524
Paper Downloads 20 Paper Downloads Rank 144/524
GC-MCWC 2006 Visits: 2464||MIC-MCWC 2006 Visits: 1920||WCN Track Visits: 788