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Articles 1 - 29 of 29
Full-Text Articles in Engineering
Periodic Pn Sequence Delay Estimation Using Phase Spectrum Data, Kurt Louis Kosbar, Jorge J. Zaninovich
Periodic Pn Sequence Delay Estimation Using Phase Spectrum Data, Kurt Louis Kosbar, Jorge J. Zaninovich
Electrical and Computer Engineering Faculty Research & Creative Works
An algorithm for estimating the delay of a periodic pseudonoise (PN) sequence is presented. It is a rapid, block-based estimator that can be used for both linear and nonlinear codes. The algorithm exploits the periodicity of the difference between the phase spectra of the received sequence and a local reference. The estimator takes the Fourier transform of the phase spectrum difference data, and searches for the fundamental frequency. Unlike previously described methods, phase unwrapping is not required. The performance in the presence of additive white Gaussian noise (AWGN) and a continuous wave (CW) jammer is investigated using computer simulation. Comparisons …
Two-Dimensional Simulation Of Switch-On Speeds In Hydrogenated Amorphous Silicon Thin-Film Transistors, J. S. Huang, Cheng-Hsiao Wu
Two-Dimensional Simulation Of Switch-On Speeds In Hydrogenated Amorphous Silicon Thin-Film Transistors, J. S. Huang, Cheng-Hsiao Wu
Electrical and Computer Engineering Faculty Research & Creative Works
We report accurate two-dimensional simulations of switch-on speeds in hydrogenated amorphous silicon thin-film transistors. The trap charge density along, or transverse to, the direction of semiconductor channel is highly nonuniform and the trap filling time dominates the switching time as compared to the transit time, which is about four orders of magnitude smaller. Near both contacts, direction of the transverse current is always upwards toward the insulator-semiconductor interface due to the strong electric fields. However, at the central region of the channel, the transient current is quite complex and is discussed here. When the channel length varies from 2 to …
Transition Mechanisms Of Two Interacting Dx Centers In N-Type Algaas Using Reverse-Bias Deep Level Transient Spectroscopy And Temperature-Dependent Pulse-Width Reverse-Bias Deep Level Transient Spectroscopy Methods, C. W. Wang, Cheng-Hsiao Wu
Transition Mechanisms Of Two Interacting Dx Centers In N-Type Algaas Using Reverse-Bias Deep Level Transient Spectroscopy And Temperature-Dependent Pulse-Width Reverse-Bias Deep Level Transient Spectroscopy Methods, C. W. Wang, Cheng-Hsiao Wu
Electrical and Computer Engineering Faculty Research & Creative Works
The reverse-bias pulsed deep level transient spectroscopy (RDLTS) and a new temperature-dependent pulse-width RDLTS (TDP RDLTS) technique are reported to study the electric-field effect on carrier emission rates and the direct interaction between double DX centers recently detected in the Se:Al0.6Ga0.4As N confinement layer of the AlGaAs/GaAs single-quantum-well laser diodes. Traditional RDLTS measurements, with constant pulse width tp, prove that the two DX centers, Et1 and Et2, have strong direct emission interaction. Furthermore, the new TDP-RDLTS technique enables one to evaluate this direct transition time constant. Possible mechanisms for this interstate …
Identification Of Variegated Coloring In Skin Tumors: Neural Network Vs. Rule-Based Induction Methods, Ajaya Durg, William V. Stoecker, J. P. Cookson, Scott E. Umbaugh, Randy Hays Moss
Identification Of Variegated Coloring In Skin Tumors: Neural Network Vs. Rule-Based Induction Methods, Ajaya Durg, William V. Stoecker, J. P. Cookson, Scott E. Umbaugh, Randy Hays Moss
Chemistry Faculty Research & Creative Works
The use of neural networks for automatic identification of variegated coloring, which is believed to be one of the most predictive features for malignant melanoma, is described. The Nestor development system (NDS) was chosen for neural network implementation. At the heart of NDS is a three-layer neural network called a restricted Coulomb energy (RCE) network. The learning scheme and the database for detection of variegated coloring are discussed. Results are reported
A Study Of Numerically Efficient Algorithms For Power System Dynamic Analysis, J. G. Chen, Mariesa Crow
A Study Of Numerically Efficient Algorithms For Power System Dynamic Analysis, J. G. Chen, Mariesa Crow
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, the multirate method is introduced to analyze power system behavior including linear and nonlinear systems with widely varying time constants. The development and study of time domain simulation techniques and error detection are discussed. The results, both in terms of accuracy and computation time, are compared to traditional simulation methods in a small nonlinear power system example
An Algorithm For Automated Printed Circuit Board Layout And Routing Evaluation, Todd H. Hubing, Thomas Van Doren, James L. Drewniak, Puneet Grover, R. Lee Hill
An Algorithm For Automated Printed Circuit Board Layout And Routing Evaluation, Todd H. Hubing, Thomas Van Doren, James L. Drewniak, Puneet Grover, R. Lee Hill
Electrical and Computer Engineering Faculty Research & Creative Works
An algorithm has been developed to evaluate printed circuit boards that are designed using automated board layout and routing software. The algorithm analyzes aspects of component placement and trace routing while searching for violations of basic EMC design principles. The algorithm is implemented in code designed to work with a widely used board layout and routing program. This code can help novice and experienced circuit board designers to avoid mistakes that may result in serious electromagnetic compatibility problems.
Terrain Classification In Sar Images Using Principal Components Analysis And Neural Networks, Mahmood R. Azimi-Sadjadi, Saleem Ghaloum, R. Zoughi
Terrain Classification In Sar Images Using Principal Components Analysis And Neural Networks, Mahmood R. Azimi-Sadjadi, Saleem Ghaloum, R. Zoughi
Electrical and Computer Engineering Faculty Research & Creative Works
The development of a neural network-based classifier for classifying three distinct scenes (urban, park and water) from several polarized SAR images of San Francisco Bay area is discussed. The principal component (PC) scheme or Karhunen-Loeve (KL) transform is used to extract the salient features of the input data, and to reduce the dimensionality of the feature space prior to the application to the neural networks. Employing PC scheme along with polarized images used in this study, led to substantial improvements in the classification rates when compared with previous studies. When a combined polarization architecture is used the classification rate for …
Open-Ended Rectangular Waveguide For Nondestructive Thickness Measurement And Variation Detection Of Lossy Dielectric Slabs Backed By A Conducting Plate, Sasan Bakhtiari, Stoyan I. Ganchev, R. Zoughi
Open-Ended Rectangular Waveguide For Nondestructive Thickness Measurement And Variation Detection Of Lossy Dielectric Slabs Backed By A Conducting Plate, Sasan Bakhtiari, Stoyan I. Ganchev, R. Zoughi
Electrical and Computer Engineering Faculty Research & Creative Works
Solutions of fields inside a slab of a generally lossy dielectric medium backed by a conducting plate, placed outside a waveguide-fed rectangular aperture, are evoked in the application to the microwave nondestructive thickness measurement of such dielectric slabs. Upon construction of the waveguide terminating admittance expression from its variational form, an inverse problem is then solved to extract the slab thickness from the conductance and susceptance in a recursive manner. A comparison between the experimental and theoretical results showed that the significance of higher order modes is minimal; hence, the dominant mode assumption is, in general, valid to describe the …
Fiber Optic Microdeformation Sensors For Smart Structures, Lawrence S. Criscione
Fiber Optic Microdeformation Sensors For Smart Structures, Lawrence S. Criscione
Opportunities for Undergraduate Research Experience Program (OURE)
When optical fibers are stressed, the deformations at the core-cladding interface induce signal attenuation. Because of their durable physical properties (high melting point) optical fibers can be embedded into certain composite materials at the manufacturing stage. Stresses on the composite induces stresses on the embedded fiber. The amount of stress on the fiber, and thus the stress on the composite, can be determined by measuring the attenuation of a signal passing through the fiber. Force was applied to a single mode and a multimode fiber in a microbend inducing plate, and the attenuation this stress created was measured.
Analysis Of Turnability For A Three Terminal Microwave Network, Michael J. Bahr
Analysis Of Turnability For A Three Terminal Microwave Network, Michael J. Bahr
Opportunities for Undergraduate Research Experience Program (OURE)
Three-terminal microwave networks can be shown to exhibit qualities that would make them desirable to be used as multiple terminal devices. Using microwave theory, where instantaneous voltage is a function of position on the line, this situation will be examined. These devices use the interference principle of propagating waves as the basis of their characteristics. This investigation will probe a three- terminal microwave network with one input and two output. This configuration acts similar to a splitter where the outputs may be controlled. These three terminals, plus manipulation of the lengths of each side, actually makes this a four terminal …
Fiber Optic Fabry-Perot Sensors For Smart Structures, Thomas K. Edmondson
Fiber Optic Fabry-Perot Sensors For Smart Structures, Thomas K. Edmondson
Opportunities for Undergraduate Research Experience Program (OURE)
Optical fiber sensors promise to play a large role in the development of smart structures which have the ability to continuously monitor themselves for internal and external structural deformation, and even actively change shape. This investigation studies one such sensor based on a fiber optic Fabry-Perot interferometer, which detects the displacement between two points of a material. Sensor theory and construction are discussed, and the tools used to analyze sensor output are developed. The interferometer is then tested by attaching it to a large cantilever beam which is deflected to produce strain. This experimental data is then used to determine …
Optimizing Energy Usage In A Solar-Powered Vehicle, William R. Macneil
Optimizing Energy Usage In A Solar-Powered Vehicle, William R. Macneil
Opportunities for Undergraduate Research Experience Program (OURE)
The University of Missouri - Rolla (UMR) will be entering SUNRAYCE '93 and the World Solar Challenge and expects to excel in these solar-powered car races. Some of the factors involved in winning a race include efficiency, reliability, and high power. All of these are important considerations, but will be ineffective unless appropriately harnessed by a power management scheme appropriate to a race strategy. The power management scheme will be used to efficiently and effectively distribute available power to the car's systems throughout a race day. My goal was to produce a software framework into which the specifications and performance …
Lightning Arrester Failure And Ferroresonance On A Distribution System, L. J. Bohmann, J. Mcdaniel, Eldon Keith Stanek
Lightning Arrester Failure And Ferroresonance On A Distribution System, L. J. Bohmann, J. Mcdaniel, Eldon Keith Stanek
Electrical and Computer Engineering Faculty Research & Creative Works
Since 1987 the Upper Peninsula Power Company (UPPCO) has been experiencing a large number of lightning arrester failures on a portion of their distribution system in southern Marquette County, Michigan. It was in the area of the Navy's Extremely Low Frequency (ELF) antenna where the distribution system had been recently reconfigured so that the transformers were connected line-to-line in order to eliminate interference from the antenna. A study was done which determined that the system was susceptible to ferro resonance during single line faults under lightly loaded conditions and that the overvoltage's experienced could be causing the lightning arrester failures. …
Battery Energy Storage Technologies, Max Darwin Anderson, Dodd S. Carr
Battery Energy Storage Technologies, Max Darwin Anderson, Dodd S. Carr
Electrical and Computer Engineering Faculty Research & Creative Works
Battery energy storage systems, comprising lead-acid batteries, power conversion systems, and control systems, are in commercial operation around the world. They are used by three main groups: power generating utilities; power distributing utilities; and major power consumers (such as electric furnace foundries). The principal advantages of battery energy storage systems to generating utilities include load leveling; frequency control; spinning reserve; modular construction; convenient siting; no emissions; and investment deferral for new generation and transmission equipment. Power distributing utilities and major power consumers can avoid costly demand changes by discharging their batteries at peak periods and then recharging with lower cost …
Neural Networks In The Former Soviet Union, Donald C. Wunsch
Neural Networks In The Former Soviet Union, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Advanced Graphics Zoom In On Operations, Max Darwin Anderson, Hardy J. Pottinger, C. M. Schroeder
Advanced Graphics Zoom In On Operations, Max Darwin Anderson, Hardy J. Pottinger, C. M. Schroeder
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Automatic Color Segmentation Algorithms-With Application To Skin Tumor Feature Identification, Scott E. Umbaugh, Randy Hays Moss, William V. Stoecker, G. A. Hance
Automatic Color Segmentation Algorithms-With Application To Skin Tumor Feature Identification, Scott E. Umbaugh, Randy Hays Moss, William V. Stoecker, G. A. Hance
Electrical and Computer Engineering Faculty Research & Creative Works
Two color-image segmentation methods are described. The first is based on a spherical coordinate transform of original RGB data. The second is based on a mathematically optimal transform, the principal components transform (also known as eigenvector, discrete Karhunen-Loeve, or Hotelling transform). These algorithms are applied to the extraction from skin tumor images of various features such as tumor border, crust, hair scale, shiny areas, and ulcer. The results of this research will be used in the development of a computer vision system that will serve as the visual front-end of a medical expert system to automate visual feature identification for …
Photovoltaic-Powered Water Pumping-Design, And Implementation: Case Studies In Wyoming, Badrul H. Chowdhury, S. Ula, K. Stokes
Photovoltaic-Powered Water Pumping-Design, And Implementation: Case Studies In Wyoming, Badrul H. Chowdhury, S. Ula, K. Stokes
Electrical and Computer Engineering Faculty Research & Creative Works
A photovoltaic-powered water pumping project comprising of several rural electric cooperatives and their customers is described in detail. A number of remote water pumping installations in the state of Wyoming, USA, are currently operating as a result of this project. The design, installation and performance monitoring of these systems are discussed. In general, it can be stated that PV-powered water pumping in this state has been a cost-effective alternative to distribution line extension or other conventional means of water pumping. Customer satisfaction, in terms of functional adequacy and low maintenance requirements of these systems, is high. The benefit for the …
An Optoelectronic Implementation Of The Adaptive Resonance Neural Network, Donald C. Wunsch, T. P. Caudell, R. J. Marks, R. A. Falk, C. David Capps
An Optoelectronic Implementation Of The Adaptive Resonance Neural Network, Donald C. Wunsch, T. P. Caudell, R. J. Marks, R. A. Falk, C. David Capps
Electrical and Computer Engineering Faculty Research & Creative Works
A solution to the problem of implementation of the adaptive resonance theory (ART) of neural networks that uses an optical correlator which allows the large body of correlator research to be leveraged in the implementation of ART is presented. The implementation takes advantage of the fact that one ART-based architecture, known as ART1, can be broken into several parts, some of which are better to implement in parallel. The control structure of ART, often regarded as its most complex part, is actually not very time consuming and can be done in electronics. The bottom-up and top-down gated pathways, however, are …
A New Technique To Decompose Closely Spaced Interface And Bulk Trap States Using Temperature Dependent Pulse-Width Deep Level Transient Spectroscopy Method: An Application To Pt/Cds Photodetector, C. W. Wang, Cheng-Hsiao Wu, Jack L. Boone
A New Technique To Decompose Closely Spaced Interface And Bulk Trap States Using Temperature Dependent Pulse-Width Deep Level Transient Spectroscopy Method: An Application To Pt/Cds Photodetector, C. W. Wang, Cheng-Hsiao Wu, Jack L. Boone
Electrical and Computer Engineering Faculty Research & Creative Works
A novel method is presented here to experimentally decompose nonexponential capacitive transients into the appropriate components from the closely spaced deep trap states. Using temperature dependent pulse-width deep level transient spectroscopy (TDP-DLTS) technique, we show for the first time that two bulk trap states and one continuously distributed interface states in (Pt/CdS) photodiodes can be successfully separated. The basic principle is to set the applied pulse width to follow an averaged temperature-dependent capture time constant and divide the DLTS spectrum. In the example of Pt/CdS photodiodes, we show that all physical parameters including thermal activation energies, capture cross sections, and …
Faulty Behavior Of Storage Elements And Its Effects On Sequential Circuits, Waleed K. Al-Assadi, Y. K. Malaiya, A. P. Jayasumana
Faulty Behavior Of Storage Elements And Its Effects On Sequential Circuits, Waleed K. Al-Assadi, Y. K. Malaiya, A. P. Jayasumana
Electrical and Computer Engineering Faculty Research & Creative Works
It is often assumed that the faults in storage elements (SEs) can be modeled as output/input stuck-at faults of the element. They are implicitly considered equivalent to the stuck-at faults in the combinational logic surrounding the SE cells. Transistor-level faults in common SEs are examined here. A more accurate higher level fault model for elementary SEs that better represents the physical failures is presented. It is shown that a minimal (stuck-at) model may be adequate if only modest fault coverage is desired. The enhanced model includes some common fault behaviors of SEs that are not covered by the minimal fault …
Modeling Of Intra-Cell Defects In Cmos Sram, Waleed K. Al-Assadi, Y. K. Malaiya, A. P. Jayasumana
Modeling Of Intra-Cell Defects In Cmos Sram, Waleed K. Al-Assadi, Y. K. Malaiya, A. P. Jayasumana
Electrical and Computer Engineering Faculty Research & Creative Works
The effect of defects within a single cell of a static random access memory (SRAM) is examined. All major types of faults, including bridging, transistor stuck-open and stuck-on, are examined. A significant fraction of all faults cause high IDDQ values to be observed. Faults leading to inter-cell coupling are identified.
Robust Control Of Flexible Structures Using Multiple Shape Memory Alloy Actuators, R. Lashlee, R. Butler, Vittal S. Rao, F. Kern
Robust Control Of Flexible Structures Using Multiple Shape Memory Alloy Actuators, R. Lashlee, R. Butler, Vittal S. Rao, F. Kern
Electrical and Computer Engineering Faculty Research & Creative Works
The design and implementation of control strategies for large, flexible smart structures presents challenging problems. To demonstrate the capabilities of shape-memory-alloy actuators, we have designed and fabricated a three-mass test article with multiple shape-memory-alloy (NiTiNOL) actuators. The force and moment actuators were implemented on the structure to examine the effects of control structure interaction and to increase actuation force. These SMA actuators exhibit nonlinear effects due to dead band and saturation. The first step in the modeling process was the experimental determination of the transfer function matrix derived from frequency response data. A minimal state space representation was determined based …
Efficient Simulation Of Multicarrier Digital Communication Systems In Nonlinear Channel Environments, Kevin W. Schneider, William H. Tranter
Efficient Simulation Of Multicarrier Digital Communication Systems In Nonlinear Channel Environments, Kevin W. Schneider, William H. Tranter
Electrical and Computer Engineering Faculty Research & Creative Works
The effectiveness of computer simulation as a tool for the design and analysis of communication systems is often limited by the long execution times required for many simulations. When simulating multicarrier digital communication systems operating over nonlinear channels, the required high sampling rate contributes significantly to long execution times. A new method that reduces the sampling rate of simulations of such systems is developed. This Partial Sum of Products (ParSOP) method reduces the sampling rate by generating only the intermodulation products that lie in a frequency band of interest. The ParSOP method requires that the bandpass nonlinearity be represented by …
Emc Applications Of Emap-2: A 3d Finite Element Modeling Code, Todd H. Hubing, M. Ali
Emc Applications Of Emap-2: A 3d Finite Element Modeling Code, Todd H. Hubing, M. Ali
Electrical and Computer Engineering Faculty Research & Creative Works
EMAP-2, a 3-D finite element modeling code that can be used to model simple printed circuit board configurations, is discussed. It is a true full-wave field solver designed to be used for education or research. EMAP-2 is written in the C programming language. The code, its capabilities, and its limitations are described. Two examples illustrate how the code can be applied to problems of particular interest to EMC (electromagnetic compatibility) engineers.
Use Of Storage Elements As Primitives For Modeling Faults In Synchronous Sequential Circuits, Waleed K. Al-Assadi, Y. K. Malaiya, A. P. Jayasumana
Use Of Storage Elements As Primitives For Modeling Faults In Synchronous Sequential Circuits, Waleed K. Al-Assadi, Y. K. Malaiya, A. P. Jayasumana
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
A Fast Converging, Low Complexity Adaptive Filtering Algorithm, Steven L. Grant
A Fast Converging, Low Complexity Adaptive Filtering Algorithm, Steven L. Grant
Electrical and Computer Engineering Faculty Research & Creative Works
This paper introduces a new adaptive filtering algorithm called fast affine projections (FAP). Its main attributes include RLS (recursive least squares) like convergence and tracking with NLMS (normalized least mean squares) like complexity. This mix of complexity and performance is similar to the recently introduced fast Newton transversal filter (FNTF) algorithm. While FAP shares some similar properties with FNTF it is derived from a different perspective, namely the generalization of the affine projection interpretation of NLMS. FAP relies on a sliding windowed fast RLS (FRLS) algorithm to generate forward and backward prediction vectors and expected prediction error energies. Since sliding …
Artificial Intelligence Applied To Detection Of Melanoma, Arve Kjoelen, Scott E. Umbaugh, William V. Stoecker, Randy Hays Moss
Artificial Intelligence Applied To Detection Of Melanoma, Arve Kjoelen, Scott E. Umbaugh, William V. Stoecker, Randy Hays Moss
Electrical and Computer Engineering Faculty Research & Creative Works
No abstract provided.
Detection Of Skin Tumor Boundaries In Color Images, Fikret Erçal, M. Moganti, William V. Stoecker, Randy Hays Moss
Detection Of Skin Tumor Boundaries In Color Images, Fikret Erçal, M. Moganti, William V. Stoecker, Randy Hays Moss
Computer Science Faculty Research & Creative Works
A simple and yet effective method for finding the borders of tumors is presented as an initial step towards the diagnosis of skin tumors from their color images. The method makes use of an adaptive color metric from the red, green, and blue planes that contains information for discriminating the tumor from the background. Using this suitable coordinate transformation, the image is segmented. The tumor portion is then extracted from the segmented image and borders are drawn. Experimental results that verify the effectiveness of this approach are given