The objective of this paper is to develop the image processing and recognize the faces using peA-based face recognition technique. MA TLAB based programs are implemented to identify the faces using Indian databases an...
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This paper develops an approach to dealing with the global robust output regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by using output feedback control...
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This paper deals with eccentricity fault detection in a induction motor via artificial neural networks. Discriminative features are extracted from magnitude-frequency plot of line current spectra at characteristic fre...
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Web Service composition is a very promising way to generate new services on service oriented architecture (SOA). It will come across subsequent branch convergence problem when implementing parallel process in the dist...
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Bioluminescence tomography (BLT) is an effective molecular imaging (MI) modality. Because of the ill-posedness, the inverse problem of BLT is still open. We present a trust region method (TRM) for BLT source reconstru...
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This paper presents the control design via the combination of the neural predictive controller and the neurofuzzy controller. The neuro-fuzzy controller type of ANFIS works in parallel with the neural predictive contr...
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ISBN:
(纸本)9789604741991
This paper presents the control design via the combination of the neural predictive controller and the neurofuzzy controller. The neuro-fuzzy controller type of ANFIS works in parallel with the neural predictive controller and adjust the output of the predictive controller, in order to enhance predicted inputs. The performance of our proposal is demonstrated on the Continuous Stirred-Tank Reactor control problem with disturbances.
Magnetic Resonance Imaging (MRI) guided nanorobotic systems that could perform diagnostic, curative and reconstructive treatments in the human body at the cellular and sub-cellular level in a controllable manner have ...
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ISBN:
(纸本)9781424450404
Magnetic Resonance Imaging (MRI) guided nanorobotic systems that could perform diagnostic, curative and reconstructive treatments in the human body at the cellular and sub-cellular level in a controllable manner have recently been proposed. The concept of a MRI-guided nanorobotic system is based on the use of a MRI scanner to induce the required external driving forces to guide magnetic nanocapsules to a specific target. However, the maximum magnetic gradient specifications of existing clinical MRI systems are not capable of driving superparamagnetic nanocapsules against the blood flow and therefore these MRIs do not allow for navigation. The present paper proposes a way to overcome this critical drawback through the formation of micron size agglomerations where their size can be regulated by external magnetic stimuli. This approach is investigated through modeling of the physics that govern the self-assembly of the nanoparticles. Additionally a computational tool has been developed that incorporates the derived models and performs simulation, visualization and post-processing analysis. Preliminary simulation results demonstrate that external magnetic field causes aggregation of nanoparticles while they flow in the vessel. This is a promising result -in accordance with similar experimental results- and encourages further investigation on the nanoparticle based self-assembly structures for use in nanorobotic drug delivery.
A fast global minimization segmentation model based on total variation is presented around Functional modeling and algorithm constructing. Firstly, a new active contour model is developed by maximum a-posterior probab...
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Due to the higher saturation magnetization and magnetoviscosity of magnetic fluids when exposed to a magnetic field, magnetic fluids are filled into the working gaps of a servo-valve torque motor to improve the dynami...
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The behavior of nonlinearity and time-varying cause the pneumatic actuator systems are difficult to be controlled. This paper proposes a Fourier series-based adaptive sliding-mode controller for nonlinear pneumatic se...
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