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Electrical and Computer Engineering

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Florida Institute of Technology

Electrical Engineering and Computer Science Faculty Publications

Pattern recognition

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Full-Text Articles in Engineering

Extended Hough Methodology For 3d Feature Detection, Rufus H. Cofer, Samuel Peter Kozaitis, Jihun Cha Nov 2003

Extended Hough Methodology For 3d Feature Detection, Rufus H. Cofer, Samuel Peter Kozaitis, Jihun Cha

Electrical Engineering and Computer Science Faculty Publications

In an effort to make automatically detect image features for pattern recognition, we described a 3-dimensional (3-D) Hough transform. We describe two interlocking theoretical extensions to greatly enhance the Hough transform's ability to handle finite lineal features and allow directed search for various features while balancing memory and computational complexity. We computed the 2-D Hough transform of 1-D slices of an image which results in a 2-D to 3-D transform. Features such as line segments will cluster in a particular location so that both line orientation and spatial extent can be determined. This approach allows the Hough transform to be …


An Artificial Immune System For Securing Mobile Ad Hoc Networks Against Intrusion Attacks, William S. Hortos Aug 2003

An Artificial Immune System For Securing Mobile Ad Hoc Networks Against Intrusion Attacks, William S. Hortos

Electrical Engineering and Computer Science Faculty Publications

An artificial immune system (AIS) for securing mobile ad hoc networks (MANET) against intrusion attacks was presented. A state vector of features and metrics based on the published Secure Routing Protocol (SRP) for MANETs was constructed to encode network security characteristics. The results were reported along with a performance analysis comparing the AIS approach with competing techniques.


Adaptive Handoff Algorithms Based On Self-Organizing Neural Networks To Enhance The Quality Of Service Of Nonstationary Traffic In Hierarchical Cellular Networks, William S. Hortos Mar 2000

Adaptive Handoff Algorithms Based On Self-Organizing Neural Networks To Enhance The Quality Of Service Of Nonstationary Traffic In Hierarchical Cellular Networks, William S. Hortos

Electrical Engineering and Computer Science Faculty Publications

Third-generation (3G) wireless networks, based on a hierarchical cellular structure (HCS), support tiered levels of multimedia services. These services can be categorized as real-time and delay-sensitive, or non-real-time and delay-insensitive. Each call carries demand for one or more services in parallel; each with a guaranteed quality of service (QoS). Roaming is handled by handoff procedures between base stations (BSs) and the mobile subscribers (MSs) within the network. Metrics such as the probabilities of handoff failure, dropped calls and blocked calls; handoff transition time; and handoff rate are used to evaluate the handoff schemes, which also directly affect QoS. Previous researchers …


Results Using An Alternative Approach To Channel Equalization Using A Pattern Classification Strategy, Frank M. Caimi, Gamal A. Hassan Dec 1999

Results Using An Alternative Approach To Channel Equalization Using A Pattern Classification Strategy, Frank M. Caimi, Gamal A. Hassan

Electrical Engineering and Computer Science Faculty Publications

In underwater acoustic communication, (ACOMMs), ocean surface and bottom conditions create multi path propagation's for the transmitted signal that result in Inter symbol Interference (ISI) at the receiver. Generally, Equalization, Diversity IBeam forming, and Channel Coding are three independent techniques that are used to improve received signal quality. Equalization compensates for ISI created by a band-limited, time-dispersive channel through implementation of specialized filtering schemes within the receiver. The coefficients of the equalizer need to be continuously adjusted to compensate for the variability in the channel. Since the number of states required by the equalizer (or beam former) is finite, and …


Multispectral Image Feature Extraction By The Joint Wavelet-Transform Correlator, Samuel Peter Kozaitis, Mark A. Getbehead, Wesley E. Foor Mar 1997

Multispectral Image Feature Extraction By The Joint Wavelet-Transform Correlator, Samuel Peter Kozaitis, Mark A. Getbehead, Wesley E. Foor

Electrical Engineering and Computer Science Faculty Publications

A multispectral version of an image consisting of multiple wavelet components allows for more flexible feature extraction when compared to the use of one wavelet component. We showed how a multiple-input joint wavelet- transform correlator could be used for multispectral analysis of an input image. For m wavelet scales, m versions of the wavelet and m copies of the input image were generated using conventional optics that are used as inputs to a joint wavelet-transform correlator. The output consisted of 4m-1 correlation results, one of which is the desired output. The space-bandwidth product of the system is the same as …


Optical Image Analysis Using Fractal Techniques, Samuel Peter Kozaitis, Harold Gregory Andrews, Wesley E. Foor Feb 1993

Optical Image Analysis Using Fractal Techniques, Samuel Peter Kozaitis, Harold Gregory Andrews, Wesley E. Foor

Electrical Engineering and Computer Science Faculty Publications

Using an optical technique, we classified images of natural terrain based on their fractal dimension. We calculated the fractal dimension from an optically generated power spectrum obtained with a magneto-optic spatial light modulator (SLM). By using the fractal dimension to classify images of natural terrain, our post processing was simpler that when a ring-wedge detector was used.