Kalman Filtering With State Constraints: A Survey Of Linear And Nonlinear Algorithms,
2010
Cleveland State University
Kalman Filtering With State Constraints: A Survey Of Linear And Nonlinear Algorithms, Daniel J. Simon
Electrical and Computer Engineering Faculty Publications
The Kalman filter is the minimum-variance state estimator for linear dynamic systems with Gaussian noise. Even if the noise is non-Gaussian, the Kalman filter is the best linear estimator. For nonlinear systems it is not possible, in general, to derive the optimal state estimator in closed form, but various modifications of the Kalman filter can be used to estimate the state. These modifications include the extended Kalman filter, the unscented Kalman filter, and the particle filter. Although the Kalman filter and its modifications are powerful tools for state estimation, we might have information about a system that the Kalman filter …
Investigating Pre-Breakdown Currents In Polymer Tantalum Capacitors,
2010
Clemson University
Investigating Pre-Breakdown Currents In Polymer Tantalum Capacitors, Githin Alapatt
All Theses
Poly(3,4-ethylenedioxythiophene) (PEDOT), a conducting polymer, has been used since
the 1990s for the cathode of tantalum capacitors, which have a tantalum anode, and a layer of
tantalum pentoxide as the dielectric. Such capacitors are referred to as Polymer Ta capacitors.
The first method, an in situ polymerization technique, used to deposit the polymer resulted in
capacitors with a significant leakage current and breakdown voltages near 50 V. The second
method, a pre-polymerization (pre-poly) technique, resulted in capacitors that have a much lower
leakage current and a higher breakdown voltage than the in situ capacitors.
In this thesis, an accurate measurement …
Detecting Piecewise Linear Networks Using Reversible Jump Markov Chain Monte Carlo,
2010
Clemson University
Detecting Piecewise Linear Networks Using Reversible Jump Markov Chain Monte Carlo, Akshay Apte
All Theses
This work proposes a piecewise linear network model to approximate structures observed in an image. An energy function is used to capture the characteristics of the structure. The energy function consists of two parts: the prior energy term and the data energy term. The prior energy term is calculated using prior information about the structures of interest. The data energy term is calculated using observations made from the image. The energy function is minimized using Reversible Jump Markov Chain Monte Carlo (RJMCMC) to get the approximate centerline of the structure. The algorithm was tested on a database of $150$ images …
An Automated Framework For Defect Detection In Concrete Bridge Decks Using Fractals And Independent Component Analysis,
2010
Western Michigan University
An Automated Framework For Defect Detection In Concrete Bridge Decks Using Fractals And Independent Component Analysis, Fadi Abu-Amara
Dissertations
Bridge decks deteriorate over time as a result of deicing salts, freezing-andthawing, and heavy use, resulting in internal defects. According to a 2006 study by the American Society of Civil Engineers, 29% of bridges in the United States are considered structurally deficient or functionally obsolete. Ground penetrating radar (GPR) is a promising non-destructive evaluation technique for assessing subsurface conditions of bridge decks. However, the analysis of GPR scans is typically done manually, where the accuracy of the detection process depends on the technician's trained eye. In this work, a framework is developed to automate the detection, localization, and characterization of …
Nonlinear Control And Estimation Techniques With Applications To Vision-Based And Biomedical Systems,
2010
Clemson University
Nonlinear Control And Estimation Techniques With Applications To Vision-Based And Biomedical Systems, Nitendra Nath
All Dissertations
This dissertation is divided into four self-contained chapters. In Chapter 1, a new estimator using a single calibrated camera mounted on a moving platform is developed to asymptotically recover the range and the three-dimensional (3D) Euclidean position of a static object feature. The estimator also recovers the constant 3D Euclidean coordinates of the feature relative to the world frame as a byproduct. The position and orientation of the camera is assumed to be measurable unlike existing observers where velocity measurements are assumed to be known. To estimate the unknown range variable, an adaptive least squares estimation strategy is employed based …
Protocols For Dynamic Spectrum Access In Cognitive Radio Networks,
2010
Clemson University
Protocols For Dynamic Spectrum Access In Cognitive Radio Networks, Steven Boyd
All Dissertations
Spectrum access protocols permit secondary users to transmit on frequency bands that are not being utilized by the primary owners. A cognitive radio that wishes to transmit in a band must first decide if the band is available (i.e., not being used by the owner) and then it must periodically re-evaluate the band's availability once it begins transmitting in the band to ensure that a signal from a primary owner has not emerged. To accomplish these tasks, spectrum access protocols employ periodic sensing of the channel. Frequent sensing intervals are required to ensure that cognitive radios wishing to access the …
Experimental Observations Of Active Invariance Striations In A Tank Environment,
2010
Portland State University
Experimental Observations Of Active Invariance Striations In A Tank Environment, Jorge E. Quijano, Richard L. Campbell, Tobias G. Oesterlein, Lisa M. Zurk
Electrical and Computer Engineering Faculty Publications and Presentations
The waveguide invariant in shallow water environments has been widely studied in the context of passive sonar. The invariant provides a relationship between the frequency content of a moving broadband source and the distance to the receiver, and this relationship is not strongly affected by small perturbations in environment parameters such as sound speed or bottom features. Recent experiments in shallow water suggest that a similar range-frequency structure manifested as striations in the spectrogram exists for active sonar, and this property has the potential to enhance the performance of target tracking algorithms. Nevertheless, field experiments with active sonar have not …
Enhanced Cal Poly Super System Simulink Model,
2010
California Polytechnic State University, San Luis Obispo
Enhanced Cal Poly Super System Simulink Model, Matthew Ogden Mcfarland
Master's Theses
The Cal Poly Sustainable Power for Electrical Resources (SuPER) project is a solar power DC distribution system designed to autonomously manage and supply the energy needs of a single family off-the-grid home. The following thesis describes the improvement and re-design of a MATLAB Simulink model for the Cal Poly SuPER system. This model includes a photovoltaic (PV) array, a lead-acid gel battery with temperature effects, a wind turbine model, a re-designed DC-DC converter, a DC microgrid, and multiple loads. This thesis will also include several control algorithms such as a temperature controlled thermoelectric (T.E.) cooler, intelligent load switching, and an …
Asynchronous Mips Processors: Educational Simulations,
2010
California Polytechnic State University, San Luis Obispo
Asynchronous Mips Processors: Educational Simulations, Robert L. Webb
Master's Theses
The system clock has been omnipresent in most mainstream chip designs. While simplifying many design problems the clock has caused the problems of clock skew, high power consumption, electromagnetic interference, and worst-case performance. In recent years, as the timing constraints of synchronous designs have been squeezed ever tighter, the efficiencies of asynchronous designs have become more attractive. By removing the clock, these issues can be mitigated. How- ever, asynchronous designs are generally more complex and difficult to debug. In this paper I discuss the advantages of asynchronous processors and the specifics of some asynchronous designs, outline the roadblocks to asynchronous …
Dynamic Placement And Signal Selection For Upfcs In Wide-Area Controlled Power Systems,
2010
Missouri University of Science and Technology
Dynamic Placement And Signal Selection For Upfcs In Wide-Area Controlled Power Systems, Mahyar Zarghami, Mariesa Crow
Electrical and Computer Engineering Faculty Research & Creative Works
This paper deals with the problem of damping inter-area oscillations in wide-area bulk power systems using unified power flow controllers. Dynamic placement and signal selection are two important issues when FACTS devices are deployed in the system. in the paper both problems have been investigated using a Most Dominant Branches table calculated based on modal analysis which shows the influence of active powers of the branches on inter-area modes of the system. First, dynamic placement has been explained in which the best placement candidates are selected based on their influence on inter-area modes. Next the paper deals with dynamic estimation …
Research On Distribution Program Of Food Cold-Chain Logistics In Bright Speed Fresh Logistics Company,
2010
World Maritime University
Research On Distribution Program Of Food Cold-Chain Logistics In Bright Speed Fresh Logistics Company, Zexin Xu
World Maritime University Dissertations
No abstract provided.
Case Study Of Cold Chain Logistics Business Of Third Party Logistics Company,
2010
World Maritime University
Case Study Of Cold Chain Logistics Business Of Third Party Logistics Company, Han Bao
World Maritime University Dissertations
No abstract provided.
A Reconfigurable Pattern Matching Hardware Implementation Using On-Chip Ram-Based Fsm,
2010
Boise State University
A Reconfigurable Pattern Matching Hardware Implementation Using On-Chip Ram-Based Fsm, Nader I. Rafla, Indrawati Gauba
Electrical and Computer Engineering Faculty Publications and Presentations
The use of synthesizable reconfigurable IP cores has increasingly become a trend in System on Chip (SoC) designs because of their flexibility and powerful functionality. The market introduction of multi-featured platform FPGAs equipped with embedded memory and processor blocks has further expanded the possibility of utilizing dynamic reconfiguration to improve overall system adaptability to meet varying product requirements. In this paper, a reconfigurable hardware implementation for pattern matching using Finite State machine (FSM) is proposed. The FSM design is RAMbased and is reconfigured on the fly through altering memory contents only. An embedded processor is used for orchestrating run time …
A Hotspot-Based Protocol For Attack Traceback In Mobile Ad Hoc Networks,
2010
Missouri University of Science and Technology
A Hotspot-Based Protocol For Attack Traceback In Mobile Ad Hoc Networks, Hungyuan Hsu, Sencun Zhu, Ali Hurson
Electrical and Computer Engineering Faculty Research & Creative Works
based on the principle of divide and conquer, in this paper we propose an efficient traceback protocol for mobile ad hoc networks, the protocol is capable of detecting a hotspot where the attacker resides. It works by dividing the forwarding path of every packet into multiple interweaving fragments and each reachable fragment is individually reconstructed during a traceback process. through simulations in theoretical mobility models as well as real mobility traces, we show that each traceback of our scheme can attribute to a very small hotspot and the attacker can be accurately identified after a number of traceback operations. © …
Impedance Imaging And Measurements By Micro Probes In Aqueous Environments,
2010
Brigham Young University - Provo
Impedance Imaging And Measurements By Micro Probes In Aqueous Environments, Tao Shang
Theses and Dissertations
The dissertation presented here describes two research projects that may, at first glance, seem unrelated. Their unifying principle is the measurement of electrical impedance for the detection and analysis of biological materials. Impedance measurements have long been employed and studied in scientific fields, and the dissertation begins with a summary of historical methodology, applications, and terminology. Utilizing impedance measurements for microscopic imaging is the driving motivation for Scanning Impedance Imaging (SII). This technique manifests the distribution of electrical impedance inside biological tissues and is described after the dissertation's introduction. SII can provide micron-scale imaging resolution by scanning a shielded microprobe …
Wireless Sensor Network Approach To Aeronautical Telemetry,
2010
Brigham Young University - Provo
Wireless Sensor Network Approach To Aeronautical Telemetry, Oluwasegun Babatunde Tinubi
Theses and Dissertations
Wireless sensor networks have become a rapidly growing research field in recent years. They are envisioned to have a wide range of applications in military, environmental and many other fields. We examine the performance of wireless sensor network applications to aeronautical telemetry. To date, test ranges have relied on a single telemetry ground station for the reception of packets from all air borne transmitters. We researched an alternate means of achieving this same goal with fewer resources. It is a well known fact that communication power and bandwidth are the most expensive commodities in wireless communications. The telemetry world is …
A Single Chip Computational Sensor System For Neutron Detection Applications,
2010
University of Nebraska at Lincoln
A Single Chip Computational Sensor System For Neutron Detection Applications, Nathan R. Schemm, Sina Balkir, Michael Hoffman, Mark Bauer, David Schultz, James C. Petrosky, John W. Mcclory, Marcus Natta, Jennifer I. Brand, Jinke Tang, Wendong Wang
Department of Electrical and Computer Engineering: Faculty Publications
This paper presents the design and test results of a standalone computational radiation sensor system based on a single chip solution. A low-power sensor front end with a charge sensitive amplifier and an event driven analog-to-digital converter is integrated on the same chip as a dedicated microcontroller to process and bin the data from the neutron detector diode heterojunction according to pulse height. This combination effectively implements a single chip multichannel analyzer with the capability to do further processing of the data in software. The design was fabricated in a 0.18 CMOS technology with field tests demonstrating the validity of …
In Vivo Non-Invasive Monitoring Of Optically Resonant Metal Nanoparticles Using Multi-Wavelength Photoplethysmography,
2010
Louisiana Tech University
In Vivo Non-Invasive Monitoring Of Optically Resonant Metal Nanoparticles Using Multi-Wavelength Photoplethysmography, Gregory J. Michalak
Doctoral Dissertations
Nanotechnology has recently emerged as a powerful modality in many biomedical applications. In particular, several classes of nanoparticles have been employed as cancer therapy and imaging contrast agents. These particles can have architecture of varying complexity, depending on their specific application. These complex architectures are achieved by various chemical techniques usually performed in specific sequences to add complexity and functionality. One such class of nanoparticle, used in tumor treatment and as contrast agents in several optical imaging techniques, is the plasmon resonant metal nanoparticle. The most common metal used for these particles is gold because of its biocompatibility, lack of …
Scan Loss Pattern Synthesis For Adaptive Array Ground Stations,
2010
Embry-Riddle Aeronautical University
Scan Loss Pattern Synthesis For Adaptive Array Ground Stations, William C. Barott, Mary Ann Ingram, Paul G. Steffes
Publications
We present several techniques for maximizing the contact time between low Earth orbiting satellites (LEOs) and a ground station (GS). The GS comprises an adaptive array of electronically steered space-fed lenses (SFLs). Each SFL is manufactured as a low-cost printed circuit with the result that it exhibits scanning loss. By differently orienting the boresights of the SFLs in the adaptive array, the SFL's scanning losses can be made to optimally complement the path loss of the LEO, thereby reducing the cost of the GS while maximizing the download capacity of the satellite link. The optimization, implemented with a genetic algorithm …
The Generation Of Domestic Electricity Load Profiles Through Markov Chain Modelling,
2010
Technological University Dublin
The Generation Of Domestic Electricity Load Profiles Through Markov Chain Modelling, Aidan Duffy, Fintan Mcloughlin, Michael Conlon
Conference Papers
Micro-generation technologies such as photovoltaics and micro-wind power are becoming increasing popular among homeowners, mainly a result of policy support mechanisms helping to improve cost competiveness as compared to traditional fossil fuel generation. National government strategies to reduce electricity demand generated from fossil fuels and to meet European Union 20/20 targets is driving this change. However, the real performance of these technologies in a domestic setting is not often known as high time resolution models for domestic electricity load profiles are not readily available. As a result, projections in terms of reducing electricity demand and financial paybacks for these micro-generation …
