Toward prevention of pipeline integrity threats using a smart fiber-optic surveillance system
This paper presents the first available report in the literature of a system aimed at the
detection and classification of threats in the vicinity of a long gas pipeline. The system is …
detection and classification of threats in the vicinity of a long gas pipeline. The system is …
Malicious attack detection based on continuous Hidden Markov Models in Wireless sensor networks
Alongside the rapid progress of Wireless sensor networks (WSNs) technologies, sensors
and networks can rapidly be a victim of distributed attacks. Attackers can perform intrusions …
and networks can rapidly be a victim of distributed attacks. Attackers can perform intrusions …
Multiple sound source position estimation by drone audition based on data association between sound source localization and identification
M Wakabayashi, HG Okuno… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
Drone audition, or auditory processing for drones equipped with a microphone array, is
expected to compensate for problems affecting drones' visual processing, in particular …
expected to compensate for problems affecting drones' visual processing, in particular …
A multi-position approach in a smart fiber-optic surveillance system for pipeline integrity threat detection
We present a new pipeline integrity surveillance system for long gas pipeline threat
detection and classification. The system is based on distributed acoustic sensing with phase …
detection and classification. The system is based on distributed acoustic sensing with phase …
Design of an acoustic target classification system based on small-aperture microphone array
The acoustic recognition module of the unattended ground sensor (UGS) system applied in
wild environments is faced with the challenge of complicated noise interference. In this …
wild environments is faced with the challenge of complicated noise interference. In this …
[LIBRO][B] Wireless sensor networks: Deployment strategies for outdoor monitoring
F Al-Turjman - 2018 - taylorfrancis.com
Wireless Sensor Networks overcome the difficulties of other monitoring systems. However,
they require further efficiencies for Outdoor Environment Monitoring (OEM) applications due …
they require further efficiencies for Outdoor Environment Monitoring (OEM) applications due …
Acoustic–seismic mixed feature extraction based on wavelet transform for vehicle classification in wireless sensor networks
H Zhang, Z Pan, W Zhang - Sensors, 2018 - mdpi.com
An acoustic–seismic mixed feature extraction method based on the wavelet coefficient
energy ratio (WCER) of the target signal is proposed in this study for classifying vehicle …
energy ratio (WCER) of the target signal is proposed in this study for classifying vehicle …
Machine Learning-Based Attack Detection for Wireless Sensor Network Security Using Hidden Markov Models
Abstract The progress of Wireless Sensor Networks (WSNs) technologies has introduced a
greater susceptibility of sensors and networks to being victims of distributed attacks. These …
greater susceptibility of sensors and networks to being victims of distributed attacks. These …
Fast, accurate event classification on resource-lean embedded sensors
H Jiang, JO Hallstrom - ACM Transactions on Autonomous and Adaptive …, 2013 - dl.acm.org
Due to the limited computational and energy resources available on existing wireless sensor
platforms, achieving high-precision classification of high-level events in-network is a …
platforms, achieving high-precision classification of high-level events in-network is a …
[PDF][PDF] Multi-target classification using acoustic signatures in wireless sensor networks: A survey
Classification of ground vehicles based on acoustic signals using wireless sensor networks
is a crucial task in many applications such as battlefield surveillance, border monitoring, and …
is a crucial task in many applications such as battlefield surveillance, border monitoring, and …