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Online Parameter Estimation Under Non-Persistent Excitations For High-Rate Dynamic Systems, Jin Yan, Simon Laflamme, Jonathan Hong, Jacob Dodson 2021 Iowa State University and Palo Alto Research Center

Online Parameter Estimation Under Non-Persistent Excitations For High-Rate Dynamic Systems, Jin Yan, Simon Laflamme, Jonathan Hong, Jacob Dodson

Civil, Construction and Environmental Engineering Publications

High-rate dynamic systems are defined as systems experiencing dynamic events of typical amplitudes higher than 100 gn for a duration of less than 100 ms. They are characterized by 1) large uncertainties on the external loads; 2) high levels of nonstationarity and heavy disturbance; and 3) generation of unmodeled dynamics from changes in mechanical configuration. To fully enable these systems, feedback capabilities must be developed. This includes computationally fast software and low latency hardware. This paper presents a pure time-based online parameter estimation algorithm for high-rate dynamic systems with real-time applicability. The algorithm is based on a model reference ...


Array-Based Guided Wave Source Location Using Dispersion Compensation, Andrew Downs, Ronald A. Roberts, Jiming Song 2021 Iowa State University

Array-Based Guided Wave Source Location Using Dispersion Compensation, Andrew Downs, Ronald A. Roberts, Jiming Song

Electrical and Computer Engineering Publications

An important advantage of guided waves is their ability to propagate large distances and yield more information about flaws than bulk waves. Unfortunately, the multi-modal, dispersive nature of guided waves makes them difficult to use for locating flaws. In this work, we present a method and experimental data for removing the deleterious effects of multi-mode dispersion allowing for source localization at frequencies comparable to those of bulk waves. Time domain signals are obtained using a novel 64-element phased array and processed to extract wave number and frequency spectra. By an application of Auld’s electro-mechanical reciprocity relation, mode contributions are ...


Data Forgery Detection In Automatic Generation Control: Exploration Of Automated Parameter Generation And Low-Rate Attacks, Yatish R. Dubasi 2021 University of Arkansas, Fayetteville

Data Forgery Detection In Automatic Generation Control: Exploration Of Automated Parameter Generation And Low-Rate Attacks, Yatish R. Dubasi

Computer Science and Computer Engineering Undergraduate Honors Theses

Automatic Generation Control (AGC) is a key control system utilized in electric power systems. AGC uses frequency and tie-line power flow measurements to determine the Area Control Error (ACE). ACE is then used by the AGC to adjust power generation and maintain an acceptable power system frequency. Attackers might inject false frequency and/or tie-line power flow measurements to mislead AGC into falsely adjusting power generation, which can harm power system operations. Various data forgery detection models are studied in this thesis. First, to make the use of predictive detection models easier for users, we propose a method for automated ...


Design And Control Of A Peristaltic Pump To Simulate Left Atrial Pressure In A Conductive Silicone Model, Jeremy Collins 2021 University of Arkansas, Fayetteville

Design And Control Of A Peristaltic Pump To Simulate Left Atrial Pressure In A Conductive Silicone Model, Jeremy Collins

Mechanical Engineering Undergraduate Honors Theses

According to the CDC, atrial fibrillation is responsible for more than 454,000 hospitalizations and approximately 158,000 deaths per year. A common treatment for atrial fibrillation is catheter ablation, a process in which a long flexible tube is guided through the femoral artery and to the source of arrhythmia in the heart, where it measures the electrical potential at various locations and converts problematic heart tissue to scar tissue via ablation. This paper details the design and control of a low-cost ($400) peristaltic pump system using repetitive control to replicate blood pressure in the left atrium in a conductive ...


Optoelectronic Valley-Spin Qubits With Ambipolar Quantum Dots, Jeremy Tull 2021 University of Arkansas, Fayetteville

Optoelectronic Valley-Spin Qubits With Ambipolar Quantum Dots, Jeremy Tull

Electrical Engineering Undergraduate Honors Theses

The current limitations of qubit-based processors are caused by imperfections in quantum gates, leading to a lack of gate fidelity. Gate fidelity can be refined by extending the coherence of qubits and reducing logic operation speed. A potential solution is to develop a hybrid qubit that has the coherence of electrically-controlled quantum dots and the gate speed of their optically-controlled counterparts. Quantum bits that utilize ultrafast optical gating to perform gate operations require precise control of the gating pulse duration. Optical dispersion can cause adverse effects pulse duration, such as pulse broadening, so dispersion-compensation techniques must be employed; by properly ...


Correcting For Terrain Interference, Attenuation, And System Bias For A Dual Polarimetric, X-Band Radar, Casey Wolsieffer 2021 University of Massachusetts Amherst

Correcting For Terrain Interference, Attenuation, And System Bias For A Dual Polarimetric, X-Band Radar, Casey Wolsieffer

Masters Theses

This thesis outlines the procedure and theory used to calibrate the UMass eXperimental X-band Radar (UMAXX) for the purpose of monitoring meteorological events in the Pioneer Valley region. Due to the complex topography of the area, lower tilt angles are subject to partial or full beam blockage as well as ground clutter observed through the main beam or sidelobes. Additionally, there are biases internal and external to the system that impact the reflectivity and differential reflectivity measurements. These biases and corrections are addressed in this work. As the radar has been operational since September of 2018, there is ample data ...


Distance-Based Formation Control Using Decentralized Sensing With Infrared Photodiodes, Steven Williams 2021 Louisiana State University

Distance-Based Formation Control Using Decentralized Sensing With Infrared Photodiodes, Steven Williams

LSU Master's Theses

This study presents an onboard sensor system for determining the relative positions of mobile robots, which is used in decentralized distance-based formation controllers for multi-agent systems. This sensor system uses infrared photodiodes and LEDs; its effective use requires coordination between the emitting and detecting robots. A technique is introduced for calculating the relative positions based on photodiode readings, and an automated calibration system is designed for future maintenance. By measuring the relative positions of their neighbors, each robot is capable of running an onboard formation controller, which is independent of both a centralized controller and a global positioning-like system (e ...


Calculate The Reliability Of The Bts-Bsc Network With The Reserved Line Connection, Dilmurod Davronbekov, Utkir Karimovich Matyokubov 2021 Tashkent University of Information Technologies Named after Muhammad Al-Khwarizmi, Tashkent city, Republic of Uzbekistan

Calculate The Reliability Of The Bts-Bsc Network With The Reserved Line Connection, Dilmurod Davronbekov, Utkir Karimovich Matyokubov

Chemical Technology, Control and Management

The issue of reserving communication lines between the base station and the mobile network base station controller which are considered as one system is considered. Analytical expressions have been developed for calculating the reliability of the system for various options for backing up communication lines between the base station and the base station controller. The results of research and calculations of reliability for ten different types of backup communication lines of the base station and the base station controller are presented.


The Use Of Supercapacitors To Stabilize The Power Supply System Of The Base Station Of Mobile Communication, Dilmurod Abdujalilovich Davronbekov, Utkir Karimovich Matyokubov 2021 Tashkent University of Information Technologies named after Muhammad al-Khwarizmi

The Use Of Supercapacitors To Stabilize The Power Supply System Of The Base Station Of Mobile Communication, Dilmurod Abdujalilovich Davronbekov, Utkir Karimovich Matyokubov

Scientific-technical journal

In this study, an analysis of the current status and available outages of the mobile communication base station power supply system was performed. The effects of these outages on the power supply system have been studied and it has been shown that batteries may not be an ideal solution as a backup source. Also, the issue of the introduction of renewable energy sources in the base station power supply system of the mobile communication system and its shortcomings are mentioned. In order to overcome these problems and stabilize the power changes in the battery auxiliary element and the power supply ...


Long Short-Term Memory Networks With Attention Learning For High-Rate Structural Health Monitoring, Matthew Nelson, Vahid Barzegar, Simon Laflamme, Chao Hu, Jacob Dodson 2021 Iowa State University

Long Short-Term Memory Networks With Attention Learning For High-Rate Structural Health Monitoring, Matthew Nelson, Vahid Barzegar, Simon Laflamme, Chao Hu, Jacob Dodson

Civil, Construction and Environmental Engineering Conference Presentations and Proceedings

High-rate dynamic systems undergo events of amplitudes greater than 100 gs in a span of less than 100 ms. The unique characteristics of high-rate dynamic systems include 1) large uncertainties in the external loads, 2) high levels of non-stationarity and heavy disturbances, and 3) unmolded dynamics generated from changes in the system configurations. This paper presents a deep learning algorithm consisting of an ensemble of long short-term memory (LSTM) cells used to conduct high-rate state estimation. The ensemble of LSTMs receives and transforms the signal into inputs of different time resolutions. Each input vector correlates to an LSTM cell which ...


Monitoring Impact Damage In Composites With Large Area Sensing Skins, Alexander B. Vereen, Austin Downey, Subramani Sockalingham, Paul Ziehl, Simon Laflamme, Jian Li, Hongki Jo 2021 University of South Carolina

Monitoring Impact Damage In Composites With Large Area Sensing Skins, Alexander B. Vereen, Austin Downey, Subramani Sockalingham, Paul Ziehl, Simon Laflamme, Jian Li, Hongki Jo

Civil, Construction and Environmental Engineering Conference Presentations and Proceedings

The effect of low energy impacts can seriously impair the operational life span of composites in the field. These low-energy impacts can induce a permanent loss in the toughness of the composite without any visible indication of the material’s compromise. The detection of this damage utilizing nondestructive inspection requires dense measurements over much of the surface and has been traditionally achieved by removing the part from service for advanced imaging techniques. While these methods can accurately diagnose the damage inflicted internally by the impacts, they accrue non-trivial opportunity costs while the structure is inspected. To enable the capabilities of ...


Experimental Validation Of Textured Sensing Skin For Fatigue Crack Monitoring, Han Liu, Simon Laflamme, Jian Li, Caroline Bennett, William Collins, Austin Downey, Hongki Jo 2021 Iowa State University

Experimental Validation Of Textured Sensing Skin For Fatigue Crack Monitoring, Han Liu, Simon Laflamme, Jian Li, Caroline Bennett, William Collins, Austin Downey, Hongki Jo

Civil, Construction and Environmental Engineering Conference Presentations and Proceedings

Automatic fatigue crack detection using commercial sensing technologies is difficult due to the highly localized nature of crack monitoring sensors and the randomness of crack initiation and propagation. The authors have previously proposed and demonstrated a novel sensing skin capable of fatigue crack detection, localization, and quantification. The technology is based on soft elastomeric capacitors (SECs) that constitute thin-film flexible strain sensors transducing strain into a measurable change in capacitance. Deployed in an array configuration, the SECs mimic biological skin, where local damage can be diagnosed over large surfaces. Recently, the authors have proposed a significantly improved version of the ...


Channel Estimation In Multi-User Massive Mimo Systems By Expectation Propagation Based Algorithms, Mohammed Rashid 2021 Louisiana State University and Agricultural and Mechanical College

Channel Estimation In Multi-User Massive Mimo Systems By Expectation Propagation Based Algorithms, Mohammed Rashid

LSU Doctoral Dissertations

Massive multiple input multiple output (MIMO) technology uses large antenna arrays with tens or hundreds of antennas at the base station (BS) to achieve high spectral efficiency, high diversity, and high capacity. These benefits, however, rely on obtaining accurate channel state information (CSI) at the receiver for both uplink and downlink channels. Traditionally, pilot sequences are transmitted and used at the receiver to estimate the CSI. Since the length of the pilot sequences scale with the number of transmit antennas, for massive MIMO systems downlink channel estimation requires long pilot sequences resulting in reduced spectral efficiency and the so-called pilot ...


Liver Segmentation And Liver Cancer Detection Based On Deep Convolutional Neural Network: A Brief Bibliometric Survey, Kiran Malhari Napte Mr., Anurag Mahajan Dr. 2021 Symbiosis International University

Liver Segmentation And Liver Cancer Detection Based On Deep Convolutional Neural Network: A Brief Bibliometric Survey, Kiran Malhari Napte Mr., Anurag Mahajan Dr.

Library Philosophy and Practice (e-journal)

Background: This study analyzes liver segmentation and cancer detection work, with the perspectives of machine learning and deep learning and different image processing techniques from the year 2012 to 2020. The study uses different Bibliometric analysis methods.

Methods: The articles on the topic were obtained from one of the most popular databases- Scopus. The year span for the analysis is considered to be from 2012 to 2020. Scopus analyzer facilitates the analysis of the databases with different categories such as documents by source, year, and county and so on. Analysis is also done by using different units of analysis such ...


Time Series Data Analysis Using Machine Learning-(Ml) Approach, MVV PRASAD KANTIPUDI Dr., Pradeep Kumar N.S Dr., S.Sreenath Kashyap Dr., SS Anusha Vemuri Ms 2021 Sreyas Institute Of Engineering and Technology

Time Series Data Analysis Using Machine Learning-(Ml) Approach, Mvv Prasad Kantipudi Dr., Pradeep Kumar N.S Dr., S.Sreenath Kashyap Dr., Ss Anusha Vemuri Ms

Library Philosophy and Practice (e-journal)

Healthcare benefits related to continuous monitoring of human movement and physical activity can potentially reduce the risk of accidents associated with elderly living alone at home. Based on the literature review, it is found that many studies focus on human activity recognition and are still active towards achieving practical solutions to support the elderly care system. The proposed system has introduced a joint approach of machine learning and signal processing technology for the recognition of human's physical movements using signal data generated by accelerometer sensors. The framework adopts the concept of DSP to select very descriptive feature sets and ...


A Well‐Conditioned Integral Equation For Electromagnetic Scattering From Composite Inhomogeneous Bi‐Anisotropic Material And Closed Perfect Electric Conductor Objects, Jinbo Liu, Jin Yuan, Zengrui Li, Jiming Song 2021 Communication University of China

A Well‐Conditioned Integral Equation For Electromagnetic Scattering From Composite Inhomogeneous Bi‐Anisotropic Material And Closed Perfect Electric Conductor Objects, Jinbo Liu, Jin Yuan, Zengrui Li, Jiming Song

Electrical and Computer Engineering Publications

A well‐conditioned volume‐surface integral equation, called the volume integral equation‐ combined field integral equation, is applied to analyse electromagnetic (EM) scattering from arbitrarily shaped three‐dimensional composite objects comprising both inhomogeneous bi‐anisotropic material and closed perfect electric conductors (PECs). The equivalent surface and volume currents are respectively expanded using the commonly used RWG and SWG basis functions, while a matrix equation is derived by the method of moments. Because the magnetic field integral equation is involved in modelling the surface electric current, and the constitutive parameters are all tensors, some new kinds of singularities are encountered and ...


A Typology For Magnetic Field Generator Technologies, N. Robert Y. Bouda, N. Prabhu Gaunkar, W. Shen Theh, Mani Mina 2021 Iowa State University

A Typology For Magnetic Field Generator Technologies, N. Robert Y. Bouda, N. Prabhu Gaunkar, W. Shen Theh, Mani Mina

Industrial Design Publications

This paper identifies different methodologies used to design suitable magnetic field generators (MFG) with adjustable characteristics. Variations in parameters, such as pulse frequency and amplitude elicit distinct responses. Assessing the differences between design parameters and experimental observations of magnetic field generators is essential for various applications. The use of magnetic field generator-based techniques is first studied in applications related to optical transmission, transcranial magnetic stimulation devices and magnetic resonance. Decades of research and technological advancement are associated with these methods. The associated nomenclature for describing and characterizing these methods are introduced and discussed. Finally, the paper presents possible future framework ...


Vowel Harmony Viewed As Error-Correcting Code, Yvo Meeres, Tommi A. Pirinen 2021 University of Hamburg, Germany

Vowel Harmony Viewed As Error-Correcting Code, Yvo Meeres, Tommi A. Pirinen

Proceedings of the Society for Computation in Linguistics

Robustness reduces the risk of information loss. At present the notion of error-correcting codes (ECCs) is used to achieve robustness in technical fields only. Viewing fault-tolerant natural systems as systems equipped with error-correcting codes permits a formal comparison of natural and technical robustness.

Instancing natural language (NL), we show differences in technical and natural error-correcting approaches. By picking a specific grammar phenomenon which some NLs exhibit – vowel harmony (VH) – we show that (1) VH can be formalized as an ECC as well as (2) VH adds to the robustness of its NL. We provide empirical as well as formal evidence ...


Matlab Modeling Of Ofdm Modulation Technique Across A 24 Khz, 48 Khz, And 3 Mhz Bandwidth In The High-Frequency Radio Band (3-30) Mhz, Josiah Myer, Tyler Collins, Sarah Taylor, Natalia Anglero 2021 Old Dominion University

Matlab Modeling Of Ofdm Modulation Technique Across A 24 Khz, 48 Khz, And 3 Mhz Bandwidth In The High-Frequency Radio Band (3-30) Mhz, Josiah Myer, Tyler Collins, Sarah Taylor, Natalia Anglero

Faculty-Sponsored Student Research & Capstones

The goal of this project is to use MATLAB to model orthogonal frequency division multiplexing (OFDM) modulation technique across 24 kHz, 48 kHz, and 3 MHz bandwidths in the high frequency (HF) radio band (3-30 MHz). The purpose of our design is to make HF long distance communication faster and more reliable so that every part of the world, including the most remote parts, will have access to high speed, long distance wireless communication. Our MATLAB model will allow us to modify the bandwidth, carrier frequency, modulation type, signal to noise ratio (SNR), and image size to determine which combination ...


The Discrete Fourier Transform - A Practical Approach, David Dorran 2021 Technological University Dublin

The Discrete Fourier Transform - A Practical Approach, David Dorran

Articles

These notes on the Discrete Fourier Transform include numerous practical examples that make use of audio signals.


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