Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- TÜBİTAK (3106)
- Missouri University of Science and Technology (1815)
- Chinese Chemical Society | Xiamen University (1278)
- Old Dominion University (901)
- Air Force Institute of Technology (887)
-
- University of Central Florida (581)
- New Jersey Institute of Technology (544)
- Embry-Riddle Aeronautical University (472)
- Portland State University (392)
- University of Nebraska - Lincoln (373)
- Technological University Dublin (340)
- California Polytechnic State University, San Luis Obispo (337)
- University of New Mexico (276)
- University of Kentucky (263)
- Tashkent State Technical University (259)
- University of Nevada, Las Vegas (250)
- University of Dayton (246)
- University of Arkansas, Fayetteville (244)
- Brigham Young University (222)
- Marquette University (200)
- Louisiana State University (199)
- Purdue University (177)
- Michigan Technological University (171)
- Wright State University (167)
- Clemson University (166)
- Utah State University (160)
- University of Texas at El Paso (158)
- University of South Carolina (154)
- University of South Florida (152)
- University of Dar es Salaam (139)
- Keyword
-
- Machine learning (285)
- Optimization (219)
- Deep learning (205)
- Classification (127)
- Department of Electrical Engineering (127)
-
- Image processing (120)
- Machine Learning (118)
- Applied sciences (110)
- Algorithms (97)
- Signal processing (96)
- Simulation (95)
- Daniel Felix Ritchie School of Engineering and Computer Science (92)
- Neural networks (92)
- #antcenter (89)
- Computer vision (88)
- Modeling (87)
- Engineering (84)
- Artificial intelligence (82)
- Genetic algorithm (81)
- Electrical Engineering (80)
- Security (77)
- Deep Learning (74)
- Renewable energy (72)
- FPGA (70)
- Electrical and Computer Engineering (68)
- Control (67)
- Smart grid (67)
- Microgrid (66)
- Particle swarm optimization (65)
- Reinforcement learning (65)
- Publication Year
- Publication
-
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Journal of Electrochemistry (1278)
- Theses and Dissertations (1204)
- Electrical and Computer Engineering Faculty Research & Creative Works (1191)
- Electronic Theses and Dissertations (701)
-
- Theses (422)
- Masters Theses (407)
- Electrical & Computer Engineering Theses & Dissertations (349)
- Electrical and Computer Engineering Faculty Publications (348)
- Electrical & Computer Engineering Faculty Publications (301)
- Journal of Digital Forensics, Security and Law (290)
- Dissertations (261)
- Electrical and Computer Engineering Faculty Publications and Presentations (245)
- Faculty Publications (241)
- Electrical and Computer Engineering ETDs (239)
- Department of Electrical and Computer Engineering: Faculty Publications (199)
- Doctoral Dissertations (189)
- Dissertations and Theses (185)
- Chemical Technology, Control and Management (175)
- Graduate Theses and Dissertations (169)
- Master's Theses (166)
- Electrical Engineering (164)
- Articles (162)
- Browse all Theses and Dissertations (156)
- Open Access Theses & Dissertations (154)
- USF Tampa Graduate Theses and Dissertations (146)
- Electrical and Computer Engineering Faculty Research and Publications (142)
- UNLV Theses, Dissertations, Professional Papers, and Capstones (128)
- Electrical Engineering Faculty Publications (118)
- Tanzania Journal of Engineering and Technology (TJET) (111)
- Publication Type
- File Type
Articles 15121 - 15150 of 18172
Full-Text Articles in Entire DC Network
Survey Of Clustering Algorithms, Rui Xu, Donald C. Wunsch
Survey Of Clustering Algorithms, Rui Xu, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the profusion of options causes confusion. We survey clustering algorithms for data sets appearing in statistics, computer science, and machine learning, and illustrate their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts. Several tightly related topics, proximity measure, and cluster validation, are also discussed.
Capacity And Complexity Of Hmm Duration Modeling Techniques, Michael T. Johnson
Capacity And Complexity Of Hmm Duration Modeling Techniques, Michael T. Johnson
Electrical and Computer Engineering Faculty Research and Publications
The ability of a standard hidden Markov model (HMM) or expanded state HMM (ESHMM) to accurately model duration distributions of phonemes is compared with specific duration-focused approaches such as semi-Markov models or variable transition probabilities. It is demonstrated that either a three-state ESHMM or a standard HMM with an increased number of states is capable of closely matching both Gamma distributions and duration distributions of phonemes from the TIMIT corpus, as measured by Bhattacharyya distance to the true distributions. Standard HMMs are easily implemented with off-the-shelf tools, whereas duration models require substantial algorithmic development and have higher computational costs when …
Microwave Reflectometry As A Novel Diagnostic Method For Detection Of Skin Cancers, Kundan Chand, Pratik Mehta, Daryl G. Beetner, R. Zoughi, William V. Stoecker
Microwave Reflectometry As A Novel Diagnostic Method For Detection Of Skin Cancers, Kundan Chand, Pratik Mehta, Daryl G. Beetner, R. Zoughi, William V. Stoecker
Electrical and Computer Engineering Faculty Research & Creative Works
More than one million people are diagnosed with skin cancer each year in the United States and more than ten thousand people die from the disease. Currently, there are some methods for early detection of skin cancers, like visual inspection, but improvements are needed. This paper presents a method involving microwave reflectometry as a diagnostic tool for detection of skin cancers. The results of measurements and simulations for normal and wet skin have been shown to distinguish among skin samples with different properties. Microwave measurements from lesions have also been presented which are used to distinguish between cancerous and benign …
Effects Of Load Magnitude On Diagnosing Broken Bar Faults In Induction Motors Using The Pendulous Oscillation Of The Rotor Magnetic Field Orientation, Behrooz Mirafzal, Nabeel Demerdash
Effects Of Load Magnitude On Diagnosing Broken Bar Faults In Induction Motors Using The Pendulous Oscillation Of The Rotor Magnetic Field Orientation, Behrooz Mirafzal, Nabeel Demerdash
Electrical and Computer Engineering Faculty Research and Publications
The effects of load level on the ability to diagnose broken bar faults in squirrel-cage induction motors are studied in this paper. The pendulous oscillation of the rotor magnetic field orientation is implemented as a fault signature for rotor fault diagnostic purposes at steady-state operations. Moreover, the effects of load level on the low-side band component of the stator current spectrum, and associated diagnostic difficulties in this approach particularly in the presence of motor operation from pulsewidth-modulation drives, are reported as well. These investigations were performed through testing 2-hp and 5-hp induction motors over a wide range of load levels …
Calibration And Results Of The Equis Ii Plasma Impedance Probe (Pip), Seth D. Humphries
Calibration And Results Of The Equis Ii Plasma Impedance Probe (Pip), Seth D. Humphries
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
This thesis presents the calibration process and analysis results for the two Plasma Impedance Probe (PIP) units that were flown as part of the NASA Equis-I I campaign from the Kwajalein Atoll. The work of calibration that was presented by Krishna Kurra for the PIP on the Floating Potential Measurement Unit (FPMU) is improved and extended herein. The sweeping impedance probe (SIP), the instrument formerly known as plasma sweeping probe (PSP), is an integral part of the PIP. For the SIP, the calibration presented in this work, calibration error less than 5% error is achieved. The calibration is applied to …
Adaptive Blind Multiuser Detection Over Flat Fast Fading Channels Using Particle Filtering, Yufei Huang, Jianqiu Zhang, Isabel Tienda Luna, Petar M. Djuric, Diego Pablo Ruiz Padillo
Adaptive Blind Multiuser Detection Over Flat Fast Fading Channels Using Particle Filtering, Yufei Huang, Jianqiu Zhang, Isabel Tienda Luna, Petar M. Djuric, Diego Pablo Ruiz Padillo
Electrical & Computer Engineering
We propose a method for blind multiuser detection (MUD) in synchronous systems over flat and fast Rayleigh fading channels. We adopt an autoregressive-moving-average (ARMA) process to model the temporal correlation of the channels. Based on the ARMA process, we propose a novel time-observation state-space model (TOSSM) that describes the dynamics of the addressed multiuser system. The TOSSM allows an MUD with natural blending of low-complexity particle filtering (PF) and mixture Kalman filtering (for channel estimation). We further propose to use a more efficient PF algorithm known as the stochastic -algorithm (SMA), which, although having lower complexity than the generic PF …
Higher Radix Floating-Point Representations For Fpga-Based Arithmetic, Bryan Christopher Catanzaro
Higher Radix Floating-Point Representations For Fpga-Based Arithmetic, Bryan Christopher Catanzaro
Theses and Dissertations
Field Programmable Gate Arrays (FPGAs) are increasingly being used for high-throughput floating-point computation. It is forecasted that by 2009, FPGAs will provide an order of magnitude greater sustained floating-point throughput than conventional processors. FPGA implementations of floating-point operators have historically been designed to use binary floating-point representations, as do general purpose processors. Binary representations were chosen as the standard over three decades ago because they provide maximal numerical accuracy per bit of floating-point data. However, the unique nature of FPGA-based computation makes numerical accuracy per unit of FPGA resources a more important measure of the usefulness of a given floating-point …
Iterative Segmentation In Keyword Spotting: Relation To Fractional Programming, Marius C. Silaghi
Iterative Segmentation In Keyword Spotting: Relation To Fractional Programming, Marius C. Silaghi
Electrical Engineering and Computer Science Faculty Publications
This paper addresses the problem of detecting keywords in unconstrained speech. The proposed algorithms search for the speech segment maximizing the average observation probability along the most likely path in the hypothesized keyword model. As known, this approach (sometimes referred to as sliding model method) requires a relaxation of the begin/endpoints of the Viterbi matching, as well as a time normalization of the resulting score. This makes solutions complex (i.e., LN2/2 basic operations for keyword HMM models with L states and utterances with N frames). We present here two alternative (quite simple and efficient) solutions to this problem. a) First …
Tb3+-Doped K Pb2Br5: Low-Energy Phonon Mid-Infrared Laser Crystal, U. N. Roy, R. H. Hawrami, Y. Cui, S. Morgan, A. Burger, K. C. Mandal, C. C. Noblitt, S. A. Speakman, K. Rademaker, S. A. Payne
Tb3+-Doped K Pb2Br5: Low-Energy Phonon Mid-Infrared Laser Crystal, U. N. Roy, R. H. Hawrami, Y. Cui, S. Morgan, A. Burger, K. C. Mandal, C. C. Noblitt, S. A. Speakman, K. Rademaker, S. A. Payne
Faculty Publications
No abstract provided.
Intelligent Control Of Nonlinear Systems With Actuator Saturation Using Neural Networks, Wenzhi Gao
Intelligent Control Of Nonlinear Systems With Actuator Saturation Using Neural Networks, Wenzhi Gao
Doctoral Dissertations
Common actuator nonlinearities such as saturation, deadzone, backlash, and hysteresis are unavoidable in practical industrial control systems, such as computer numerical control (CNC) machines, xy-positioning tables, robot manipulators, overhead crane mechanisms, and more. When the actuator nonlinearities exist in control systems, they may exhibit relatively large steady-state tracking error or even oscillations, cause the closed-loop system instability, and degrade the overall system performance. Proportional-derivative (PD) controller has observed limit cycles if the actuator nonlinearity is not compensated well. The problems are particularly exacerbated when the required accuracy is high, as in micropositioning devices. Due to the non-analytic nature of the …
Time Domain Characterization Of 1-2 Ghz Circular-Ended Bowtie Antenna Using Normalizad Impulse Response, Joko Suryana, Andriyan B. Suksmono, Tati R. Mengko
Time Domain Characterization Of 1-2 Ghz Circular-Ended Bowtie Antenna Using Normalizad Impulse Response, Joko Suryana, Andriyan B. Suksmono, Tati R. Mengko
Makara Journal of Technology
Time Domain Characterization of 1-2 GHz Circular-ended Bowtie Antenna Using Normalizad Impulse Response. Frequency domain analysis is a powerful and compact tool for characterizing the antenna parameters such as gain, radiation pattern and the impedance as a function of frequency. However, if time or space is a major concern, such as in the GPR appication, the time domain analysis would be a very important tool due to their unique capability for determining the echo delay and range profile of target image. In this paper, we will describe the classical theory of system characterization in time domain, and then also propose …
Size Evaluation Of Corrosion Precursor Pitting Using Near-Field Millimeter Wave Nondestructive Testing Methods, Mohammad Tayeb Ahmad Ghasr, Brian D. Carroll, Sergey Kharkovsky, R. Zoughi, R. Austin
Size Evaluation Of Corrosion Precursor Pitting Using Near-Field Millimeter Wave Nondestructive Testing Methods, Mohammad Tayeb Ahmad Ghasr, Brian D. Carroll, Sergey Kharkovsky, R. Zoughi, R. Austin
Electrical and Computer Engineering Faculty Research & Creative Works
Early detection of corrosion precursor pitting and estimation of its overall dimensions directly affects the required effort and cost associated with repair and maintenance of critical aircraft structural components. The magnitude and phase of a reflected signal from a pitting are directly related to its dimensions. This paper presents a millimeter wave probe and a sizing procedure used to detect and evaluate overall pitting dimensions.
Programmable Process Flow Networks, Filip D. Cuckov
Programmable Process Flow Networks, Filip D. Cuckov
Electrical & Computer Engineering Theses & Dissertations
A model that introduces programmability to processes occurring in a cargo terminal simulation through the use of a process language is presented in this thesis. The model provides a means for a straight-forward definition, and redefinition of changing processes, their incorporation in the simulation architecture and efficient execution. The model was built to investigate a solution for transforming the cargo terminal simulation CPortS into a process-oriented simulation without hard-coded processes. The approach taken separates the system into an architecture and a set of processes which utilize and interact with the architecture's resources and infrastructure. The processes that take place within …
Tilt-Rotor Aircraft Flight Control Design With Pid, H2, H∞ And Μ Synthesis Approach, Yinyang Zhai
Tilt-Rotor Aircraft Flight Control Design With Pid, H2, H∞ And Μ Synthesis Approach, Yinyang Zhai
Masters Theses
The main objective of this project is to design optimal controllers for Hover and Cruise Dynamic Systems of XV-15 Tilt Rotor Aircraft. The design criterion is to make system Robust in sense of both Stability and Performance. μ synthesis is applied to system uncertainty; this method is less conservative as compared to the worst-case H∞ synthesis. The power of P∆K architecture is to represent uncertainties and system interconnections in μ synthesis. For comparison, the classical control techniques, such as Root Locus Algorithm, PID controller design with ITAE Performance Index, and Pole Placement Approach are also investigated. For application of …
Design And Implementation Of One And Two-Degree-Of-Freedom Magnetic Suspension And Balance Systems, Mark W. Adams
Design And Implementation Of One And Two-Degree-Of-Freedom Magnetic Suspension And Balance Systems, Mark W. Adams
Electrical & Computer Engineering Theses & Dissertations
The main objectives of this research were to design and implement one and two-degree-of-freedom (1 DOF and 2-DOF) magnetic levitation systems to levitate permanent magnet cores contained in PVC pipes, 8.4 cm and 76.2 cm in length, respectively. This project used the components of a Magnetic Suspension and Balance System (MSBS) that is being built to provide obstruction free positioning of test models in six degrees of freedom (6-DOF) inside the Princeton University/Office of Naval Research High Reynolds Number Test Facility (HRTF). The HRTF, a specialized wind tunnel designed to simulate undersea conditions by creating a low-speed, 3500 PSI air …
Equalization Techniques For Multipath Mitigation In Aeronautical Telemetry, Vladimir Ignacio Paje
Equalization Techniques For Multipath Mitigation In Aeronautical Telemetry, Vladimir Ignacio Paje
Theses and Dissertations
This thesis describes the application of adaptive equalization based on the constant modulus algorithm (CMA) and the decision-feedback minimum mean squared error (DF-MMSE) concept to the two compatible offset QPSK waveforms (FQPSK and SOQPSK-TG) that constitute the ARTM Tier-1 waveforms. An adaptive version of the DF-MMSE equalizer is developed and applied to this application. In the presence of frequency selective multipath interference typically encountered in aeronautical telemetry, both equalization techniques are shown to provide reliable performance for FQPSK and SOQPSK-TG. The performance of both waveforms with the DF-MMSE equalizer is slightly better than that using the CMA equalizer. Implementation trade-offs …
Deconvolution Analysis Of Laser Pulse Profiles From 3-D Ladar Temporal Returns, Michael D. Walter
Deconvolution Analysis Of Laser Pulse Profiles From 3-D Ladar Temporal Returns, Michael D. Walter
Theses and Dissertations
Three-dimensional laser imaging systems offer important advantages for battlefield applications, such as night-time targeting and tactical reconnaissance. Recently developed technologies used by coherent detection systems that collect temporally resolved images include arrays of Avalanche Photo-Diodes (APD), Geiger mode APDs, and photo-diodes. Frequently, LADAR systems produce waveforms from each detector that characterize the convolution of the transmitted laser pulse with the target surface. The pulse convolution generates uncertainty as to the precise location of a target surface, which can severely impact various weapon systems' targeting capability. This work analyzes two deconvolution techniques: Wiener filtering and an iterative process derived from the …
Structure From Motion Using Optical Flow Probability Distributions, Paul Clark Merrell
Structure From Motion Using Optical Flow Probability Distributions, Paul Clark Merrell
Theses and Dissertations
Several novel structure from motion algorithms are presented that are designed to more effectively manage the problem of noise. In many practical applications, structure from motion algorithms fail to work properly because of the noise in the optical flow values. Most structure from motion algorithms implicitly assume that the noise is identically distributed and that the noise is white. Both assumptions are false. Some points can be track more easily than others and some points can be tracked more easily in a particular direction. The accuracy of each optical flow value can be quantified using an optical flow probability distribution. …
Capacitance-Voltage Study On The Effects Of Low Energy Electron Radiation On Al0.27Ga0.73N/Gan High Electron Mobility Transistor, Thomas D. Jarzen
Capacitance-Voltage Study On The Effects Of Low Energy Electron Radiation On Al0.27Ga0.73N/Gan High Electron Mobility Transistor, Thomas D. Jarzen
Theses and Dissertations
The effects of radiation on semiconductors are extremely important to the Department of Defense since the majority of the defense informational, navigational and communications systems are now satellite-based. Due to the high radiation tolerance of gallium nitride and a plethora of high temperature, high power and high frequency applications, the prospect that gallium nitride based devices will become key components in a multitude of military satellite-based systems is highly probable. AlGaN/GaN HEMTs were irradiated at low temperature (~80 K) by 0.45 – 0.8 MeV electrons up to fluences of 1×1015 e-/cm2. Following irradiation, low temperature capacitance-voltage measurements …
Using Liquid Crystal Spatial Light Modulators For Closed Loop Tracking And Beam Steering With Phase Holography, Michael J. Perry
Using Liquid Crystal Spatial Light Modulators For Closed Loop Tracking And Beam Steering With Phase Holography, Michael J. Perry
Theses and Dissertations
Optical Phased Array (OPA) technology offers advantages in the reduction of size, weight, and power of optical steering devices. Nematic liquid crystal (LC) spatial light modulators (SLMs) have been studied as a potential candidate for building non-mechanical OPAs. They can steer a laser beam and split the beam into multiple beams. This thesis builds upon the prior research showing each split beam can be individually controlled, including variation in intensity. A closed loop tracking scenario shows the flexibility of the SLM by tracking and stabilizing an incoming beam. Results show that applying a phase grating to the SLM has limitations …
Zero-Knowledge Proofs For Mix-Nets Of Secret Shares And A Version Of Elgamal With Modular Homomorphism, Marius C. Silaghi
Zero-Knowledge Proofs For Mix-Nets Of Secret Shares And A Version Of Elgamal With Modular Homomorphism, Marius C. Silaghi
Electrical Engineering and Computer Science Faculty Publications
Mix-nets can be used to shuffle vectors of shared secrets. This operation can be an important building block for solving combinatorial problems where constraints are secret to different participants. A main contribution of this paper is to show how participants in the mix-net can provide Zero-Knowledge proofs to convince each other that they do not tamper with the shuffled secrets, and that inverse permutations are correctly applied. The approach is related to the proof of knowing an isomorphism between large graphs. We also make a detailed review and comparison with rationales and analysis of Chaum's and Merritt's mix-nets. Mix-nets offer …
Optimization Of Automatic Target Recognition With A Reject Option Using Fusion And Correlated Sensor Data, Trevor I. Laine
Optimization Of Automatic Target Recognition With A Reject Option Using Fusion And Correlated Sensor Data, Trevor I. Laine
Theses and Dissertations
This dissertation examines the optimization of automatic target recognition (ATR) systems when a rejection option is included. First, a comprehensive review of the literature inclusive of ATR assessment, fusion, correlated sensor data, and classifier rejection is presented. An optimization framework for the fusion of multiple sensors is then developed. This framework identifies preferred fusion rules and sensors along with rejection and receiver operating characteristic (ROC) curve thresholds without the use of explicit misclassification costs as required by a Bayes' loss function. This optimization framework is the first to integrate both "vertical" warfighter output label analysis and "horizontal" engineering confusion matrix …
Sea Ice Mapping Method For Seawinds, David G. Long, Hyrum S. Anderson
Sea Ice Mapping Method For Seawinds, David G. Long, Hyrum S. Anderson
Faculty Publications
A sea ice mapping algorithm for SeaWinds is developed that incorporates statistical and spatial a priori information in a modified maximum a posteriori (MAP) framework. Spatial a priori data are incorporated in the loss terms of a Bayes risk formulation. Conditional distributions and priors for sea ice and ocean statistics are represented as empirical histograms that are forced to conform to a set of expected histograms via principal component filtering. Tuning parameters for the algorithm allow adjustments in the algorithm's performance. Results of the algorithm exhibit high correlation with the Remund-Long sea ice mapping algorithm for SeaWinds and the Special …
An Analysis Of Information Assurance Relating To The Department Of Defense Radio Frequency Identification (Rfid) Passive Network, Robert G. Giovannetti
An Analysis Of Information Assurance Relating To The Department Of Defense Radio Frequency Identification (Rfid) Passive Network, Robert G. Giovannetti
Theses and Dissertations
The mandates for suppliers to commence Radio Frequency Identification tagging set by Wal-Mart and the Department of Defense is changing this long-time rumored technology into reality. Despite the many conveniences to automate and improve asset tracking this technology offers, consumer groups have obstinately opposed this adoption due to the perceived weaknesses in security and privacy of the network. While the heated debate between consumers and retailers continues, little to no research has addressed the implications of security on the Department of Defense Radio Frequency Identification network. This thesis utilized a historical analysis of Radio Frequency Identification literature to determine whether …
Daytime Detection Of Space Objects, Alistair D. Funge
Daytime Detection Of Space Objects, Alistair D. Funge
Theses and Dissertations
Space Situational Awareness (SSA) requires repeated object updates for orbit accuracy. Detection of unknown objects is critical. A daytime model was developed that evaluated sun flares and assessed thermal emissions from space objects. Iridium satellites generate predictable sun glints. These were used as a model baseline for daytime detections. Flares and space object thermal emissions were examined for daytime detection. A variety of geometric, material and atmospheric characteristics affected this daytime detection capability. In a photon noise limited mode, simulated Iridium flares were detected. The peak Signal-to- Noise Ratios (SNR) were 6.05e18, 9.63e5, and 1.65e7 for the nighttime, daytime and …
Determination Of Structure From Motion Using Aerial Imagery, Paul R. Graham
Determination Of Structure From Motion Using Aerial Imagery, Paul R. Graham
Theses and Dissertations
The structure from motion process creates three-dimensional models from a sequence of images. Until recently, most research in this field has been restricted to land-based imagery. This research examines the current methods of land-based structure from motion and evaluates their performance for aerial imagery. Current structure from motion algorithms search the initial image for features to track though the subsequent images. These features are used to create point correspondences between the two images. The correspondences are used to estimate the motion of the camera and then the three-dimensional structure of the scene. This research tests current algorithms using synthetic data …
Design And Simulation Of A Permanent-Magnet Electromagnetic Aircraft Launcher, Dean Patterson, Antonello Monti, Charles W. Brice, Roger A. Dougal, Robert O. Pettus, Srinivas Dhulipala, Dilip Chandra Kovuri, Tiziana Bertoncelli
Design And Simulation Of A Permanent-Magnet Electromagnetic Aircraft Launcher, Dean Patterson, Antonello Monti, Charles W. Brice, Roger A. Dougal, Robert O. Pettus, Srinivas Dhulipala, Dilip Chandra Kovuri, Tiziana Bertoncelli
Faculty Publications
This paper describes the basic design, refinement, and verification using finite-element analysis, and operational simulation using the Virtual Test Bed, of a linear machine for an electromagnetic aircraft launcher, for the aircraft carrier of the future. Choices of basic machine format and procedures for determining basic dimensions are presented. A detailed design for a permanent-magnet version is presented, and wound-field coil and induction machine versions are briefly discussed. The long armature-short field geometry is justified, and in particular the impact of this geometry on the scale of the power electronic drive system is examined.
A Wavelet-Based Multiresolution Pid Controller, Shahid Parvez, Zhiqiang Gao
A Wavelet-Based Multiresolution Pid Controller, Shahid Parvez, Zhiqiang Gao
Electrical and Computer Engineering Faculty Publications
A novel controller based on multiresolution decomposition using wavelets is presented. The controller is similar to a proportional-integral-derivative (PID) controller in principle and application. The output from a motion control system represents the cumulative effect of uncertainties such as measurement noise, frictional variation, and external torque disturbances, which manifest at different scales. The wavelet is used to decompose the error signal into signals at different scales. These signals are then used to compensate for the uncertainties in the plant. This approach provides greater expanse over the degree of control applied to the system. Through hardware and simulation results on motion …
The Use Of X-Ray Pulsars For Aiding Gps Satellite Orbit Determination, Dennis W. Woodfork Ii
The Use Of X-Ray Pulsars For Aiding Gps Satellite Orbit Determination, Dennis W. Woodfork Ii
Theses and Dissertations
This research proposes the use of an existing "signal of opportunity" - namely x-ray pulsars - to improve the accuracy and robustness of the GPS satellite and clock estimation algorithm. Improvement in satellite and clock accuracy results in a direct benefit to the user. A simulation has been developed to determine the effects of using x-ray pulsar measurements on the GPS Operational Control Segment. The epoch-specific position, velocity, and clock errors of all GPS satellites in the constellation were estimated using both pseudoranges and time-difference-of-arrival (TDOA) measurements from pulsars. The primary measure of accuracy is a constellation Signal-In-Space Range Error …
Noise Estimation In The Presence Of Bpsk Digital Burst Transmissions, Susan E. Bettison
Noise Estimation In The Presence Of Bpsk Digital Burst Transmissions, Susan E. Bettison
Theses and Dissertations
This research explores noise estimation techniques in an attempt to improve upon a previously developed digital burst transmission Binary Phase Shift Keyed (BPSK) demodulator. The demodulator success is dependent on the accuracy of the estimate of Power Spectral Density (PSD) of the unknown noise. Given a discrete time signal transformed into the frequency domain, the research seeks to determine if it is possible to effectively estimate the PSD of the unknown noise. The demodulator was developed using a new signal model for digital burst transmissions based on linear spectral subspace theory. Using this model and the redundancy properties of BPSK …