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Simultaneous fault detection and control design for an autonomous unmanned underwater vehicle
(
2013 7th IEEE GCC Conference and Exhibition, GCC 2013
, 2013 , Conference Paper)
In this paper, the problem of simultaneous fault detection and control (SFDC) for an autonomous unmanned underwater vehicle (AUV) is considered. An H∞ formulation of the SFDC problem using a dynamic observer is developed. ...
Fault detection and isolation of the wind turbine based on the real-valued negative selection algorithm
(
2013 7th IEEE GCC Conference and Exhibition, GCC 2013
, 2013 , Conference Paper)
This paper presents an immune-inspired approach for detecting and isolating faults in a wind turbine system. A negative selection algorithm (NSA) is proposed which is derived from a mechanism in vertebrate immune systems ...
A cooperative Q-learning approach for online power allocation in femtocell networks
(
IEEE
, 2013 , Conference Paper)
In this paper, we address the problem of distributed interference management of cognitive femtocells that share the same frequency range with macrocells using distributed multiagent Q-learning. We formulate and solve three ...
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
(
IEEE
, 2013 , Conference Paper)
Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ...
Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection
(
IEEE Computer Society
, 2013 , Conference Paper)
Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as a representative signal carrying valuable information pertaining to the current brain state. In this work, we investigate the stability of ...
Effective seizure detection through the fusion of single-feature enhanced-k-NN classifiers of EEG signals
(
IEEE
, 2013 , Conference Paper)
Electroencephalogram (EEG) physiological signals are widely used for detecting epileptic seizure. To reduce complexity stemming from the dimensionality problem, EEG signals are often reduced into a smaller set of discriminant ...
On the fairness of resource allocation in wireless mesh networks: A survey
(
Kluwer Academic Publishers
, 2013 , Article Review)
This article presents a comprehensive survey of resource allocation techniques in Wireless Mesh Networks (WMNs). Wireless mesh networks have emerged as a key technology for next generation application specific multi-hop ...
Optimum power and rate allocation in video sensor networks
(
Institute of Electrical and Electronics Engineers Inc.
, 2013 , Conference Paper)
In a sensor network, each sensor has a limited energy supply. Therefore, it is critical to minimize the power consumed by each sensor to maximize its lifetime. Video sensor networks differ from conventional sensor networks ...
EEG feature extraction and selection techniques for epileptic detection: A comparative study
(
IEEE Computer Society
, 2013 , Conference Paper)
Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as representative signal carrying valuable information pertaining to the current brain state. For these techniques to be efficient and reliable, ...
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
(
IEEE
, 2013 , Conference Paper)
Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ...