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- Electrical Engineering and Computer Science Faculty Publications (11)
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Articles 1 - 24 of 24
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Novel High-Speed Architecture For Machine Vision Applications, Bassam S. Farroha, Raghvendra G. Deshmukh
Novel High-Speed Architecture For Machine Vision Applications, Bassam S. Farroha, Raghvendra G. Deshmukh
Electrical Engineering and Computer Science Faculty Publications
This paper focuses on producing a state-of-the-art technique for designing an image recognition system for machine vision applications. The motivation behind the new system design is to provide a unique methodology, using strategic design techniques, to implement a system that addresses real-world image recognition applications. The introduction of application-specific, massively parallel array of processors, where low-level processing is accomplished on reconfigurable hardware structures, highlights the scheme. The system was built and simulated on a VLSI chip and results were verified using Electric Rules Check and Harris Timing Analysis examination tools. The system is composed of there functional layers and a …
Physical Modeling For Interaction In Real-Time Simulation, Curtis Lisle
Physical Modeling For Interaction In Real-Time Simulation, Curtis Lisle
Link Foundation Modeling, Simulation and Training Fellowship Reports
The goal of this project was to model objects in a simulated environment with a method which allows physically-correct behavior to be calculated in real-time. Our approach studied the interaction between differing object types and used object-oriented software design to create a class hierarchy of objects suitable for interactive speed virtual environment simulation. We studied physical modeling systems and constraint systems as techniques to control the behavior of objects in our simulations. We also studied two different ways to achieve distributed execution of an object-oriented simulation. In our first approach, we designed a set of simulation software which ran built …
Real-Time Optically Processed Face Recognition System Based On Arbitrary Moiré Contours, Rafael A. Andrade, Bernard R. Gilbert, Donald W. Dawson, Chris L. Hart, Samuel Peter Kozaitis, Joel H. Blatt
Real-Time Optically Processed Face Recognition System Based On Arbitrary Moiré Contours, Rafael A. Andrade, Bernard R. Gilbert, Donald W. Dawson, Chris L. Hart, Samuel Peter Kozaitis, Joel H. Blatt
Electrical Engineering and Computer Science Faculty Publications
We demonstrate a hybrid electronic-optical real-time system that performs 3-D face recognition. We constructed custom reference gratings that formed a desired moire pattern when mixed with images of structurally illuminated faces. The moiré patterns could be in any form such as, equal depth contours, error maps, or any arbitrary pattern. We demonstrate video methods to generate such error maps in real time, thus developing a real-time automated face recognition system based on the optical processing of arbitrary moiré contours. We chose the moiré pattern to be in the form of a Fresnel zone plate, which is displayed on a liquid …
Multiresolution Wavelet Processing For Binary Phase-Only Filters, Samuel Peter Kozaitis
Multiresolution Wavelet Processing For Binary Phase-Only Filters, Samuel Peter Kozaitis
Electrical Engineering and Computer Science Faculty Publications
We used the discrete wavelet transform to approximate an image at a lower resolution in preparation for object recognition using correlation techniques. We cross- correlated the low-resolution image with a similarly processed image containing an object of interest. Then, we synthesized the cross-correlation result to the resolution of original image. Using this approach, we avoided cross- correlating an image multiple times and passing information between levels of an image representation such as an image pyramid. We satisfactorily identified objects at 1/4 resolution using the wavelet representation and binary phase-only filters. We chose wavelets based on their impulse response and found …
Real-Time Optically Processed Face-Recognition System Based On Arbitrary Moire Contours, Rafael A. Andrade, Bernard R. Gilbert, Donald W. Dawson, Chris L. Hart, Samuel Peter Kozaitis, Joel H. Blatt
Real-Time Optically Processed Face-Recognition System Based On Arbitrary Moire Contours, Rafael A. Andrade, Bernard R. Gilbert, Donald W. Dawson, Chris L. Hart, Samuel Peter Kozaitis, Joel H. Blatt
Electrical Engineering and Computer Science Faculty Publications
A real-time diffraction based optical processed 3-D shape recognition system has been built and demonstrated. The system uses an Ar-ion laser interferometer to project variable spatial frequency structural illumination on 3 dimensional targets which are viewed by a camera. The video data is mixed with a computer generated mask (converted to RS-170 video) and the resulting output video signal is sent to a liquid crystal television (modified to function as a spatial light modulator) which is illuminated by a He-Ne laser. The video mixing process, based on a commercial Chroma-Key circuit, generates an arbitrary moire pattern which is a function …
Mioc Transcription, Initiation Of Replication, And The Eclipse In Escherichia Coli, Joseph A. Bogan, Charles E. Helmstetter
Mioc Transcription, Initiation Of Replication, And The Eclipse In Escherichia Coli, Joseph A. Bogan, Charles E. Helmstetter
Biomedical Engineering and Sciences Faculty Publications
The potential role of mioC transcription as a negative regulator of initiation of chromosome replication in Escherichia coli was evaluated. When initiation was aligned by a shift of dnaC2(Ts) mutants to nonpermissive temperature (40°C), mioC transcript levels measured at the 5' end or reading through oriC disappeared within one mass doubling. Upon return to permissive temperature (30°C), the transcripts reappeared coordinately about 15 min after the first synchronized initiation and then declined sharply again 10 min later, just before the second initiation. Although these observations were consistent with the idea that mioC transcription might have to be terminated prior to …
Similarity-Based Learning For Pattern Classification, Laurene V. Fausett
Similarity-Based Learning For Pattern Classification, Laurene V. Fausett
Electrical Engineering and Computer Science Faculty Publications
Several standard neural networks, including counterpropagation networks, predictive ART networks, and radial basis function networks, are based on a combination of clustering (unsupervised learning) and mapping (supervised learning). A comparison of the characteristics of these networks for pattern classification problems is presented.
Function Approximation Using A Sinc Neural Network, Wael R. Elwasif, Laurene V. Fausett
Function Approximation Using A Sinc Neural Network, Wael R. Elwasif, Laurene V. Fausett
Mathematics and System Engineering Faculty Publications
Neural networks for function approximation are the basis of many applications. Such networks often use a sigmoidal activation function (e.g. tanh) or a radial basis function (e.g. gaussian). Networks have also been developed using wavelets. In this paper, we present a neural network approximation of functions of a single variable, using sinc functions for the activation functions on the hidden units. Performance of the sinc network is compared with that of a tanh network with the same number of hidden units. The sinc network generally learns the desired input-output mapping in significantly fewer epochs, and achieves a much lower total …
Neural Network Architecture For Solving The Algebraic Matrix Riccati Equation, Fredric M. Ham, Emmanuel G. Collins
Neural Network Architecture For Solving The Algebraic Matrix Riccati Equation, Fredric M. Ham, Emmanuel G. Collins
Electrical Engineering and Computer Science Faculty Publications
This paper presents a neurocomputing approach for solving the algebraic matrix Riccati equation. This approach is able to utilize a good initial condition to reduce the computation time in comparison to standard methods for solving the Riccati equation. The repeated solutions of closely related Riccati equations appears in homotopy algorithms to solve certain problems in fixed-architecture control. Hence, the new approach has the potential to significantly speed-up these algorithms. It also has potential applications in adaptive control. The structured neural network architecture is trained using error backpropagation based on a steepest-descent learning rule. An example is given which illustrates the …
Determination Of Adaptively Adjusted Coefficients For Hopfield Neural Networks Utilizing The Energy Function, Chiyeon Park, Donald W. Fausett
Determination Of Adaptively Adjusted Coefficients For Hopfield Neural Networks Utilizing The Energy Function, Chiyeon Park, Donald W. Fausett
Electrical Engineering and Computer Science Faculty Publications
With its potential for parallel computation and general applicability, the Hopfield neural network has been investigated and improved by many researchers in order to extend its usefulness to various combinatorial problems. In spite of its success in several applications within different energy function formulations, determination of the energy coefficients has been based primarily on trial and error methods since no practical and systematic way of finding good values has been available preciously, although some theoretical analyses have been presented. In this paper, we present a methodical procedure which adaptively determines the energy coefficients leading to a valid solution as the …
Partial Least-Squares Regression Neural Network (Plsnet) With Supervised Adaptive Modular Learning, Fredric M. Ham, Ivica Kostanic
Partial Least-Squares Regression Neural Network (Plsnet) With Supervised Adaptive Modular Learning, Fredric M. Ham, Ivica Kostanic
Electrical Engineering and Computer Science Faculty Publications
We present in this paper an adaptive linear neural network architecture called PLSNET. This network is based on partial least-squares (PLS) regression. The architecture is a modular network with stages that are associated with the desired number of PLS factors that are to be retained. PLSNET actually consists of two separate but coupled architectures, PLSNET-C for PLS calibration, and PLSNET-P for prediction (or estimation). We show that PLSNET-C can be trained by supervised learning with three standard Hebbian learning rules that extracts the PLS weight loading vectors, the regression coefficients, and the loading vectors for the univariate output component case …
Comparison Of Function Approximation With Sigmoid And Radial Basis Function Networks, Gary Russell, Laurene V. Fausett
Comparison Of Function Approximation With Sigmoid And Radial Basis Function Networks, Gary Russell, Laurene V. Fausett
Electrical Engineering and Computer Science Faculty Publications
Theoretical and computational results have demonstrated that several types of neural networks have the universal approximation property, i.e., the ability to represent any continuous function to an arbitrary degree of accuracy, given enough hidden units. However, practical considerations, such as the relative advantages of different networks for function approximation using a small to moderate number of hidden units, are not as well understood. This paper presents preliminary results of investigations into the comparison of networks using sigmoidal activation functions and networks using radial basis functions. In particular, we consider the ability of several such networks to learn mappings from the …
Application Of Neural Networks To Channel Assignment For Cellular Cdma Networks With Multiple Services And Mobile Base Stations, William S. Hortos
Application Of Neural Networks To Channel Assignment For Cellular Cdma Networks With Multiple Services And Mobile Base Stations, William S. Hortos
Electrical Engineering and Computer Science Faculty Publications
The use of artificial neural networks to the channel assignment problem for cellular code- division multiple access (CDMA) telecommunications systems is considered. CDMA takes advantage of voice activity and spatial isolation because its capacity is only interference limited, unlike time-division multiple access (TDMA) and frequency-division multiple access (FDMA) where capacities are bandwidth limited. Any reduction in interference in CDMA translates linearly into increased capacity. FDMA and TDMA use a frequency reuse pattern as a method to increase capacity, while CDMA reuses the same frequency for all cells and gains a reuse efficiency by means of orthogonal codes. The latter method …
Florida Institute Of Technology Catalog 1996-1997, Florida Institute Of Technology
Florida Institute Of Technology Catalog 1996-1997, Florida Institute Of Technology
Florida Institute of Technology Melbourne and Jensen Beach Catalogs, 1967-2015
Academic catalog by Florida Institute of Technology for the 1996-1997 academic year.
Evaluation Of Contemporary Ocean Wave Models In Rare Extreme Events: The "Halloween Storm" Of October 1991 And The "Storm Of The Century" Of March 1993, Vincent J. Cardone, Robert E. Jensen, Donald T. Resio, Val R. Swail, Andrew T. Cox
Evaluation Of Contemporary Ocean Wave Models In Rare Extreme Events: The "Halloween Storm" Of October 1991 And The "Storm Of The Century" Of March 1993, Vincent J. Cardone, Robert E. Jensen, Donald T. Resio, Val R. Swail, Andrew T. Cox
Ocean Engineering and Marine Sciences Faculty Publications
Two recent severe extratropical storms, the "Halloween storm" of October 26-November 2 1991 (HOS) and the storm of the century" (SOC) of March 12-15 1993, are characterized by measurements of sea states of unprecedented magnitude off the east coast of North America. A Canadian buoy moored in deep water south of Nova Scotia recorded peak significant wave heights (HS) exceeding 16 m in both storms. In SOC, a NOAA buoy moored southeast of Cape Hatteras recorded a peak HS of 15.7 m, a record high for NOAA buoys. These extreme storm seas (ESS) exceed existing estimates of the 100-yr estimated …
Use Of Stems Of Emergent Plants For Oviposition By The Florida Applesnail, Pomacea Paludosa, And The Implications For Marsh Management, Richard L. Turner
Use Of Stems Of Emergent Plants For Oviposition By The Florida Applesnail, Pomacea Paludosa, And The Implications For Marsh Management, Richard L. Turner
Ocean Engineering and Marine Sciences Faculty Publications
This field study examined the distribution among emergent plant stems of egg clutches deposited by the amphibious Florida applesnail in four types of marsh in east central Florida. Clutch density was highest along the edge of sawgrass marsh and zero in deep marsh. Densities in maidencane and mixed shallow marshes were about one-third the density in sawgrass. In all marsh types, clutches occurred preferentially on plants having broad stems that generally exceeded 6 mm in diameter at water level. Substratum limitation for oviposition increased with the frequency of narrow-stemmed plants, but stem height was rarely limiting. The four marsh types …
On Applications Of Excess Level Processes To (N,D)-Policy Bulk Queueing Systems, Jewgeni H. Dshalalow
On Applications Of Excess Level Processes To (N,D)-Policy Bulk Queueing Systems, Jewgeni H. Dshalalow
Mathematics and System Engineering Faculty Publications
The paper deals with queueing systems in which N- and D-policies are combined into one. This means that an idle or vacationing server will resume his service if the queueing or workload process crosses some specified fixed level N or D, respectively. For the proposed (N,D)-policy we study the queueing processes in models with and without server vacations, with compound Poisson input, and with generally distributed service and vacation periods. The analysis of the models is essentially based on fluctuation techniques for two-dimensional marked counting processes newly developed by the author. The results enable us to arrive at stationary distributions …
Exp For Windows, Version 4.0 A Software Review, Donn E. Miller-Harnish
Exp For Windows, Version 4.0 A Software Review, Donn E. Miller-Harnish
Mathematics and System Engineering Faculty Publications
No abstract provided.
Formation Energies And Energy Levels Of Deep Defects In Narrow-Gap Semiconductors, James D. Patterson, Weigang Li
Formation Energies And Energy Levels Of Deep Defects In Narrow-Gap Semiconductors, James D. Patterson, Weigang Li
Aerospace, Physics, and Space Science Faculty Publications
We use a Green's function technique for deep defect energy level calculations in mercury cadmium telluride, mercury zinc telluride, and mercury zinc selenide. The formation energy is calculated from the difference between the total binding energy with an impurity cluster and with a perfect cluster. These alloys are among those that have been experimentally grown in microgravity aboard the Space Shuttle. To evaluate the quality of these crystals, it is necessary to characterize them, and one important aspect of this characterization is the study of deep defects which can limit carrier lifetime. Relaxation effects are calculated with molecular dynamics. The …
Muscular Basis Of Buccal Pressure: Inflation Behavior In The Striped Burrfish Chilomycterus Schoepfi, Peter C. Wainwright, Ralph G. Turingan
Muscular Basis Of Buccal Pressure: Inflation Behavior In The Striped Burrfish Chilomycterus Schoepfi, Peter C. Wainwright, Ralph G. Turingan
Ocean Engineering and Marine Sciences Faculty Publications
We examined the relationship between commonly measured features of cranial muscle activity and the magnitude of sub- and superambient pressure measured inside the buccal cavity of the striped burrfish Chilomycterus schoepfi during inflation behavior. Buccal pressure was recorded simultaneously with electromyographic (EMG) records of activity from three expansive-phase muscles (levator operculi, levator pectoralis and hyohyoideus abductor) and three compressive-phase muscles (adductor mandibulae, protractor hyoideus and protractor pectoralis) in eight individuals. We quantified EMG activity in approximately 30 inflation cycles per fish by measuring the burst duration, rectified integrated area, intensity of activity (area divided by duration) and onset time relative …
The Δ Scuti Star Fg Virginis Ii. A Search For High Pulsation Frequencies, Michel Breger, Matt A. Wood
The Δ Scuti Star Fg Virginis Ii. A Search For High Pulsation Frequencies, Michel Breger, Matt A. Wood
Aerospace, Physics, and Space Science Faculty Publications
Although the δ Scuti and roAp variables occupy similar positions on and near the main sequence, δ Scuti variables pulsate with lower radial and nonradial overtones and lower frequencies. To test whether high frequencies (as found in the roAp stars) are also present in δ Scuti stars, a multisite campaign with the Whole Earth Telescope (WET) was carried out for the star FG Vir. The 96.7 hours of WET photometry were supplemented by measurements made with the Delta Scuti Network (DSN), because the DSN technique includes regular measurements of comparison stars and is better suited to monitoring the low frequencies …
Seasonal Dynamics Of Dental Sexual Dimorphism In The Atlantic Stingray Dasyatis Sabina, Stephen M. Kajiura, Timothy C. Tricas
Seasonal Dynamics Of Dental Sexual Dimorphism In The Atlantic Stingray Dasyatis Sabina, Stephen M. Kajiura, Timothy C. Tricas
Ocean Engineering and Marine Sciences Faculty Publications
Cartilaginous fishes continuously replace their teeth throughout their life (polyphyodonty) and often show a sexually dimorphic dentition that was previously thought to be an invariant sex character. Radial vector analysis of tooth shape in the polyphyodontic stingray Dasyatis sabina across a consecutive 24 month period shows a stable molariform morphology for females but a periodic shift in male dentition from a female-like molariform to a recurved cuspidate form during the reproductive season. The grip tenacity of the male dentition is greater for the cuspidate form that occurs during the mating season than for the molariform dentition that occurs during the …
On The Structure Of The Deflagration For The Generalized Reaction-Rate Model, William B. Bush, L. Krishnamurthy
On The Structure Of The Deflagration For The Generalized Reaction-Rate Model, William B. Bush, L. Krishnamurthy
Mathematics and System Engineering Faculty Publications
The structure of the deflagration is examined by means of an asymptotic analysis of the physical-plane boundary-value problem, with Lewis-Semenov number unity, in the limit of the activation-temperature ratio, β = Ta/Tb, greater than order unity, for the generalized reaction-rate-model case of (1) the heat- addition-temperature ratio, α = (Tb — Tu)/Tu, of order unity [where Ta, Tb, and Tu are the activation, adiabatic-flame (and/or burned-gas), and unburned-gas temperatures, respectively]; and (2) the exponent, a, which characterizes the pre-exponential thermal dependence of the reaction-rate term, unity. This examination indicates that the deflagration has a four-region structure. To obtain a uniformly …
Discrete Riccati Equation Solutions: Distributed Algorithms, Demetrios G. Lainiotis, Konstantinos N. Kostas Plataniotis, Paraskevas Papaparaskeva
Discrete Riccati Equation Solutions: Distributed Algorithms, Demetrios G. Lainiotis, Konstantinos N. Kostas Plataniotis, Paraskevas Papaparaskeva
Electrical Engineering and Computer Science Faculty Publications
In this paper new distributed algorithms for the solution of the discrete Riccati equation are introduced. The algorithms are used to provide robust and computational efficient solutions to the discrete Riccati equation. The proposed distributed algorithms are theoretically interesting and computationally attractive.