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Automatic audio event recognition plays a pivotal role in making human robot interaction more closer and has a wide applicability in industrial automation, control and surveillance systems. Audio event is composed of intricate phonic patterns which are harmonically entangled. Audio recognition is dominated by low and mid-level features, which have demonstrated their recognition capability but they...
This work evaluates feasibility of using electrocardiogram (ECG) signals from fingertips for biometrics. These non-intrusive easily acquired signals are tested for performance in verification mode using a large publicly available database containing fingertip ECG. Two methodologies are presented for the design of an authentication system for scalable access control wherein we propose use of Non-Negative...
This paper presents a neural network-based adaptive compensation scheme to cancel the effect of uncertain, highly complex and dynamic synthetic jet actuator nonlinearities. Approximation of a nonlinearly parameterized model of synthetic jet actuator characteristics by a linearly parameterized function is performed using neural network approximators. The nonlinearity function is approximated over a...
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