Dr. Khashayar Khorasani Profile

Dr. Khashayar Khorasani

Professor at Concordia Univ

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Publications (17)

Proceedings Article | 23 April 2010 Paper

Analysis of temperature and strain changes profiles by using fiber Bragg grating sensors

M. Etezad, M. Kahrizi, K. Khorasani

Proceedings Volume 7677, 76770J (2010) https://doi.org/10.1117/12.846450

KEYWORDS: Sensors, Fiber Bragg gratings, Genetic algorithms, Refractive index, Temperature metrology, Wavelength division multiplexing, Reflectivity, Sensor networks, Reconstruction algorithms, Genetics

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Proceedings Article | 3 May 2007 Paper

Autonomous precision formation flying: a proposed fault tolerant attitude control strategy

Tao Jiang, K. Khorasani

Proceedings Volume 6555, 65550X (2007) https://doi.org/10.1117/12.719592

KEYWORDS: Control systems, Space operations, Satellites, Actuators, Sensors, Systems modeling, Complex systems, Neural networks, Control systems design, Model-based design

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Proceedings Article | 2 May 2007 Paper

Fault tolerant cooperative control for UAV rendezvous problem subject to actuator faults

T. Jiang, N. Meskin, E. Sobhani-Tehrani, K. Khorasani, C. Rabbath

Proceedings Volume 6561, 65611J (2007) https://doi.org/10.1117/12.720016

KEYWORDS: Unmanned aerial vehicles, Algorithm development, Actuators, Detection and tracking algorithms, Control systems, Antimony, Unmanned vehicles, Sensors, Aerodynamics, Chromium

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Proceedings Article | 1 May 2007 Paper

A network-centric robust resource allocation strategy for unmanned systems: stability analysis

K. Bouyoucef, K. Khorasani

Proceedings Volume 6578, 65780V (2007) https://doi.org/10.1117/12.720048

KEYWORDS: Sensors, Actuators, Switching, Unmanned systems, Control systems, Switches, Systems modeling, Nonlinear control, Telecommunications, Time metrology

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Proceedings Article | 26 May 2005 Paper

A network-centric input-output feedback linearization-based control strategy for unmanned systems

K. Bouyoucef, K. Khorasani

Proceedings Volume 5820, (2005) https://doi.org/10.1117/12.603274

KEYWORDS: Control systems, Actuators, Feedback control, Sensors, Device simulation, Switches, Unmanned systems, Systems modeling, Nonlinear control, Network architectures

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Proceedings Article | 19 May 2005 Paper

Nonlinear modeling, control, and simulation of flexible spacecrafts for attitude recovery

S. Tafazoli, K. Khorasani

Proceedings Volume 5799, (2005) https://doi.org/10.1117/12.603164

KEYWORDS: Space operations, Staring arrays, Control systems, Nonlinear control, Complex systems, Feedback control, Device simulation, Satellites, Computer simulations, Control systems design

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Proceedings Article | 13 August 2002 Paper

Adaptive underwater target classification using a K-NN-based multi-aspect decision feedback unit

Mahmood Azimi-Sadjadi, Arta Jamshidi, Gerald Dobeck, Khashayar Khorasani

Proceedings Volume 4742, (2002) https://doi.org/10.1117/12.479117

KEYWORDS: Classification systems, Image classification, Lithium, Neural networks, Distance measurement, Feature extraction, Telecommunications, Environmental sensing, Acoustics, Autoregressive models

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Proceedings Article | 11 March 2002 Paper

Adaptive constructive neural networks using Hermite polynomials for compression of still and moving images

Liying Ma, Khashayar Khorasani, Mahmood Azimi-Sadjadi

Proceedings Volume 4739, (2002) https://doi.org/10.1117/12.458703

KEYWORDS: Image compression, Neural networks, Algorithm development, Computer engineering, Evolutionary algorithms, Signal detection, Data communications, Neurons, Receivers, Image quality

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Proceedings Article | 12 November 2001 Paper

Constructive Hermite polynomial feedforward neural networks with application to facial expression recognition

Liying Ma, Khashayar Khorasani

Proceedings Volume 4520, (2001) https://doi.org/10.1117/12.448231

KEYWORDS: Facial recognition systems, Detection and tracking algorithms, Pattern recognition, Neural networks, Databases, Image compression, Image processing, Gold, Human-machine interfaces, Algorithm development

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Proceedings Article | 16 August 2001 Paper

Facial expression recognition using constructive neural networks

Liying Ma, Khashayar Khorasani

Proceedings Volume 4380, (2001) https://doi.org/10.1117/12.436980

KEYWORDS: Facial recognition systems, Databases, Neural networks, Networks, Matrices, Signals intelligence, Image compression, Gold, Mouth, Computer simulations

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The computer-based recognition of facial expressions has been an active area of research for quite a long time. The ultimate goal is to realize intelligent and transparent communications between human beings and machines. The neural network (NN) based recognition methods have been found to be particularly promising, since NN is capable of implementing mapping from the feature space of face images to the facial expression space. However, finding a proper network size has always been a frustrating and time consuming experience for NN developers. In this paper, we propose to use the constructive one-hidden-layer feed forward neural networks (OHL-FNNs) to overcome this problem. The constructive OHL-FNN will obtain in a systematic way a proper network size which is required by the complexity of the problem being considered. Furthermore, the computational cost involved in network training can be considerably reduced when compared to standard back- propagation (BP) based FNNs. In our proposed technique, the 2-dimensional discrete cosine transform (2-D DCT) is applied over the entire difference face image for extracting relevant features for recognition purpose. The lower- frequency 2-D DCT coefficients obtained are then used to train a constructive OHL-FNN. An input-side pruning technique previously proposed by the authors is also incorporated into the constructive OHL-FNN. An input-side pruning technique previously proposed by the authors is also incorporated into the constructive learning process to reduce the network size without sacrificing the performance of the resulting network. The proposed technique is applied to a database consisting of images of 60 men, each having the resulting network. The proposed technique is applied to a database consisting of images of 60 men, each having 5 facial expression images (neutral, smile, anger, sadness, and surprise). Images of 40 men are used for network training, and the remaining images are used for generalization and testing. Confusion matrices calculated in both network training and testing for 4 facial expressions (smile, anger, sadness, and surprise) are used to evaluate the performance of the trained network. By extensive simulations it is shown that when compared with the BP-based method, the proposed technique constructs OHL- FNN with significantly smaller number of hidden units and weights, and simultaneously yielding improved recognition performance.

Proceedings Article | 21 March 2001 Paper

Moving image compression and generalization capability of constructive neural networks

Liying Ma, Khashayar Khorasani

Proceedings Volume 4390, (2001) https://doi.org/10.1117/12.421169

KEYWORDS: Image compression, Neural networks, Video, Video compression, Image quality, Digital imaging, Algorithm development, Image transmission, Signal to noise ratio, Evolutionary algorithms

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Proceedings Article | 4 August 2000 Paper

New pruning techniques for constructive neural networks with application to image compression

Liying Ma, Khashayar Khorasani

Proceedings Volume 4052, (2000) https://doi.org/10.1117/12.395080

KEYWORDS: Image compression, Neural networks, Image transmission, Image quality, Signal to noise ratio, Reconstruction algorithms, Neurons, Receivers, Image processing, Data communications

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Proceedings Article | 17 July 2000 Paper

Appearance-based three-dimensional object recognition using independent component analysis

Harkirat Sahambi, Khashayar Khorasani

Proceedings Volume 4044, (2000) https://doi.org/10.1117/12.391931

KEYWORDS: Independent component analysis, Principal component analysis, Object recognition, Databases, Image compression, Image processing, Neural networks, Feature extraction, Image sensors, Detection and tracking algorithms

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Proceedings Article | 30 March 2000 Paper

New strategy for adaptively constructing multilayer feed-forward neural networks

Liying Ma, Khashayar Khorasani

Proceedings Volume 4055, (2000) https://doi.org/10.1117/12.380608

KEYWORDS: Neural networks, Algorithm development, Signal to noise ratio, Computer simulations, Solids, Network architectures, Computer engineering, Evolutionary algorithms, Neurons, Detection and tracking algorithms

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Proceedings Article | 30 March 2000 Paper

Adaptive structure feed-forward neural networks using polynomial activation functions

Liying Ma, Khashayar Khorasani

Proceedings Volume 4055, (2000) https://doi.org/10.1117/12.380560

KEYWORDS: Biomedical optics, Neural networks, Algorithm development, Signal to noise ratio, Network architectures, Signal detection, Computer simulations, 3D imaging standards, Computer engineering, Evolutionary algorithms

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Proceedings Article | 23 July 1999 Paper

Adaptive force feedback control of haptic devices in a virtual environment

Khashayar Khorasani

Proceedings Volume 3694, (1999) https://doi.org/10.1117/12.354471

KEYWORDS: Complex systems, Radon, Nonlinear control, Haptic technology, Virtual reality, Feedback control, Error analysis, Adaptive control, Control systems, Systems modeling

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Proceedings Article | 13 July 1999 Paper

Adaptive control of haptic interfaces for virtual-reality-based surgery simulations

Khashayar Khorasani

Proceedings Volume 3712, (1999) https://doi.org/10.1117/12.353017

KEYWORDS: Adaptive control, Haptic technology, Virtual reality, Surgery, Control systems, Systems modeling, Human-machine interfaces, Silicon, Tissues, Autoregressive models

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Showing 5 of 17 publications

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