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Olivet Robotics, Caroline Orndorff, Allann Davidson, Jared Haworth, Nicholas Mills 2020 Olivet Nazarene University

Olivet Robotics, Caroline Orndorff, Allann Davidson, Jared Haworth, Nicholas Mills

Scholar Week 2016 - present

The VEX Robotics Competition is a challenging event series for elementary to university students. Each year, VEX creates thought provoking games with goals that must be accomplished via robotics. The question ONU Robotics Team must answer is “how can one create the most effective strategies in order to win?” during the 2019-2020 Tower Takeover Game. The ONU Robotics Senior Design Team (ORSeT) will work to answer this question with principles from Electrical Engineering, Mechanical Engineering, and Computer Science. ORSeT will use this opportunity to not only create a winning robot, but also to challenge team members’ creative abilities and engineering ...


Olivet Nazarene University Telescope Vibration, Jake Butterfield, Kamil Michorczyk, Nathan Eckerle 2020 Olivet Nazarene University

Olivet Nazarene University Telescope Vibration, Jake Butterfield, Kamil Michorczyk, Nathan Eckerle

Scholar Week 2016 - present

Our project entails the use of vibration analysis to come up with a solution to the vibrational issues the ONU Telescope on top of Reed Hall of Science is currently experiencing. In its current state, the telescope produces images that are shaky and unclear; thus, rendering it useless for its intended research purposes. This shaky image is a result of excessive vibrations on and around the telescope. Within this project we diagnosed the source of the vibrations, brainstormed different design possibilities, chose the best one that is most feasible and meets the client’s needs, and proposed a detailed final ...


Crosstalk Based Side Channel Attacks In Fpgas, Chethan Ramesh 2020 University of Massachusetts Amherst

Crosstalk Based Side Channel Attacks In Fpgas, Chethan Ramesh

Masters Theses

As FPGA use becomes more diverse, the shared use of these devices becomes a security concern. Multi-tenant FPGAs that contain circuits from multiple independent sources or users will soon be prevalent in cloud and embedded computing environments. The recent discovery of a new attack vector using neighboring long wires in Xilinx SRAM FPGAs presents the possibility of covert information leakage from an unsuspecting user's circuit. The work makes two contributions that extend this finding. First, we rigorously evaluate several Intel SRAM FPGAs and confirm that long wire information leakage is also prevalent in these devices. Second, we present the ...


Study Of Fundamental Tradeoff Between Deliverable And Private Information In Statistical Inference, Farhang Bayat 2020 Louisiana State University and Agricultural and Mechanical College

Study Of Fundamental Tradeoff Between Deliverable And Private Information In Statistical Inference, Farhang Bayat

LSU Doctoral Dissertations

My primary objective in this dissertation is to establish a framework under which I launch a systematic study of the fundamental tradeoff between deliverable and private information in statistical inference. My research was partly motivated by arising and prevailing privacy concerns of users in many machine learning problems.

In this dissertation, I begin by introducing examples where I am concerned of privacy leakage versus decision utility in statistical inference problems. I then go into further details about what I have achieved in formulating and solving such problems using information theory related metrics in a variety of settings. Both related works ...


Compressive Parameter Estimation Via Approximate Message Passing, Shermin Hamzehei 2020 University of Massachusetts Amherst

Compressive Parameter Estimation Via Approximate Message Passing, Shermin Hamzehei

Masters Theses

The literature on compressive parameter estimation has been mostly focused on the use of sparsity dictionaries that encode a discretized sampling of the parameter space; these dictionaries, however, suffer from coherence issues that must be controlled for successful estimation. To bypass such issues with discretization, we propose the use of statistical parameter estimation methods within the Approximate Message Passing (AMP) algorithm for signal recovery. Our method leverages the recently proposed use of custom denoisers in place of the usual thresholding steps (which act as denoisers for sparse signals) in AMP. We introduce the design of analog denoisers that are based ...


A Tendon-Driven Origami Hopper Triggered By Proprioceptive Contact Detection, Wei-Hsi Chen, Shivangi Misra, J. Diego Caporale, Daniel E. Koditschek, Shu Yang, Cynthia R. Sung 2020 Electrical and Systems Engineering, University of Pennsylvania

A Tendon-Driven Origami Hopper Triggered By Proprioceptive Contact Detection, Wei-Hsi Chen, Shivangi Misra, J. Diego Caporale, Daniel E. Koditschek, Shu Yang, Cynthia R. Sung

Departmental Papers (ESE)

We report on experiments with a laptop-sized (0.23m, 2.53kg), paper origami robot that exhibits highly dynamic and stable two degree-of-freedom (circular boom) hopping at speeds in excess of 1.5 bl/s (body-lengths per second) at a specific resistance O(1) while achieving aerial phase apex states 25% above the stance height over thousands of cycles. Three conventional brushless DC motors load energy into the folded paper springs through pulley-borne cables whose sudden loss of tension upon touchdown triggers the release of spring potential that accelerates the body back through liftoff to flight with a 20W powerstroke, whereupon ...


Tech Comm Eagle Eye-Tracking Control System, Gabiella Lail, Robert Shaw, Hunter Smatla, Matthew Gary 2020 Embry-Riddle Aeronautical University

Tech Comm Eagle Eye-Tracking Control System, Gabiella Lail, Robert Shaw, Hunter Smatla, Matthew Gary

Discovery Day - Prescott

Mobile eye-tracking systems provide usability research support as well as access to a wide range of robotics and technical communication research opportunities. Optical tracking systems are often prohibitively expensive and do not provide the mobility or flexibility needed for a variety of research application possibilities. Our team proposes building a simple mobile eye-tracking system to be used in-house at ERAU for heat-mapping, robotics, control systems, and various technical communication applications in a structured research environment. The mobile eyetracking system will become part of a larger research and hands-on technical communication usability lab and research center. The research team intends to ...


Learning Set Representations For Lwir In-Scene Atmospheric Compensation, Nicholas M. Westing, Kevin C. Gross, Brett J. Borghetti, Jacob A. Martin, Joseph Meola 2020 Resonant Sciences

Learning Set Representations For Lwir In-Scene Atmospheric Compensation, Nicholas M. Westing, Kevin C. Gross, Brett J. Borghetti, Jacob A. Martin, Joseph Meola

Faculty Publications

Atmospheric compensation of long-wave infrared (LWIR) hyperspectral imagery is investigated in this article using set representations learned by a neural network. This approach relies on synthetic at-sensor radiance data derived from collected radiosondes and a diverse database of measured emissivity spectra sampled at a range of surface temperatures. The network loss function relies on LWIR radiative transfer equations to update model parameters. Atmospheric predictions are made on a set of diverse pixels extracted from the scene, without knowledge of blackbody pixels or pixel temperatures. The network architecture utilizes permutation-invariant layers to predict a set representation, similar to the work performed ...


Drones Detection Using Smart Sensors, Aishah Moafa 2020 Embry-Riddle Aeronautical University

Drones Detection Using Smart Sensors, Aishah Moafa

Dissertations and Theses

Drones are modern and sophisticated technology that have been used in numerous fields. Nowadays, many countries use them in exploration, reconnaissance operations, and espionage in military operations. Drones also have many uses that are not limited to only daily life. For example, drones are used for home delivery, safety monitoring, and others. However, the use of drones is a double-edged sword. Drones can be used for positive purposes to improve the quality of human lives, but they can also be used for criminal purposes and other detrimental purposes. In fact, many countries have been attacked by terrorists using smart drones ...


Robust Secure Wireless Powered Miso Cognitive Mobile Edge Computing, Boyang Liu, Jiajia Song, Jin Wang, Haijan Sun, Qun Wang 2020 Xi’an University of Posts and Telecommunications

Robust Secure Wireless Powered Miso Cognitive Mobile Edge Computing, Boyang Liu, Jiajia Song, Jin Wang, Haijan Sun, Qun Wang

Electrical and Computer Engineering Student Research

Wireless power transfer (WPT) and cognitive radio (CR) are two promising techniques in designing mobile-edge computing (MEC) systems. In this paper, we study a robust secure wireless powered multiple-input single-output (MISO) cognitive MEC system, which integrates several techniques: physical-layer security, WPT, CR, underlay spectrum sharing and MEC. Three optimization problems are formulated to minimize the total transmission power (TTP) of the primary transmitter (PT) and the secondary base station (SBS) under perfect channel state information (CSI) model, bounded CSI error model and the probabilistic CSI error model, respectively. The formulated problems are nonconvex and hard to solve. Three two-phase iterative ...


Net Energy Index: A New Way To Measure Energy Efficient Buildings, Dylan Suplee 2020 Liberty University

Net Energy Index: A New Way To Measure Energy Efficient Buildings, Dylan Suplee

Senior Honors Theses

Energy efficiency indexes are useful for providing tangible measurements of energy efficiency in buildings. Buildings use approximately 70% of all electricity in the USA. Using that energy efficiently has two primary benefits: limiting greenhouse gas emissions and reducing grid strain. Utilizing local renewable energy sources contributes to the same benefits. Currently, there is no index that considers renewable energy sources when measuring energy efficiency. Therefore, this paper proposes the Net Energy Index, which compares the net power usage of a building to the floor area of the building in order to determine energy efficiency. If renewable energy supplies power to ...


Long-Term Dynamic Simulation Of Power Systems Using Python, Agent Based Modeling, And Time-Sequenced Power Flows, Thad Haines 2020 Montana Tech

Long-Term Dynamic Simulation Of Power Systems Using Python, Agent Based Modeling, And Time-Sequenced Power Flows, Thad Haines

Graduate Theses & Non-Theses

Automated controls facilitate reliable and efficient operation of modern power systems. Engineers employ computer simulations to develop, analyze, and tune such controls. Short-term dynamic, or transient, power system simulation is a useful and standardized power industry tool. Researchers have developed effective long-term dynamic (LTD) simulators, but there is not yet an industry standard computational method or software package for LTD simulation.

This work introduces a novel LTD simulation tool and provides examples of various engineering applications. The newly created software tool, Power System Long-Term Dynamic Simulator (PSLTDSim), uses a time-sequenced power flow (TSPF) technique to simulate LTD events. The TSPF ...


Pool Boiling Inversion On Femtosecond Laser Surface Processed 304 Stainless Steel And Its Impact On Steady-State Time Constants, Justin Costa-Greger, Alfred Tsubaki, Josh Gerdes, Mark Anderson, Craig Zuhlke, Dennis Alexander, Jeff Shield, George Gogos 2020 University of Nebraska-Lincoln

Pool Boiling Inversion On Femtosecond Laser Surface Processed 304 Stainless Steel And Its Impact On Steady-State Time Constants, Justin Costa-Greger, Alfred Tsubaki, Josh Gerdes, Mark Anderson, Craig Zuhlke, Dennis Alexander, Jeff Shield, George Gogos

UCARE Research Products

FLSP surfaces resulting in boiling inversion require longer times to reach steady-state once inversion has occurred Boiling inversion has been shown to be the result of changing nucleation dynamics in which a large number of nucleation sites activate Increased time required to reach steady-state is linked to the rate at which these nucleation sites activate. Heat fluxes above the boiling inversion point can require up to an additional 3 hours to reach steady-state, compared to the typical 15-20 minutes reported in the literature


Anti-Jam Gps Controlled Reception Pattern Antennas For Man-Portable Applications, Jeffrey A. Maloney 2020 University of Massachusetts Amherst

Anti-Jam Gps Controlled Reception Pattern Antennas For Man-Portable Applications, Jeffrey A. Maloney

Doctoral Dissertations

Military GPS receivers provide crucial information to soldiers in the field, however, the performance of these devices is degraded by in band RF interference, making GPS susceptible to jamming. Anti-jam techniques for aircraft and vehicular platforms have been developed, but at present there is no system for dismounted soldiers. There is a need for an anti-jam system which meets the demands of a dismounted soldier and conforms to the size, weight, and power requirements of a portable device.

A controlled reception pattern antenna, or CRPA, is a potential solution for jammer mitigation. These devices work by steering reception pattern nulls ...


Hyperspectral Image Classification For Remote Sensing, Hadis Madani 2020 The University of Western Ontario

Hyperspectral Image Classification For Remote Sensing, Hadis Madani

Electronic Thesis and Dissertation Repository

This thesis is focused on deep learning-based, pixel-wise classification of hyperspectral images (HSI) in remote sensing. Although presence of many spectral bands in an HSI provides a valuable source of features, dimensionality reduction is often performed in the pre-processing step to reduce the correlation between bands. Most of the deep learning-based classification algorithms use unsupervised dimensionality reduction methods such as principal component analysis (PCA).

However, in this thesis in order to take advantage of class discriminatory information in the dimensionality reduction step as well as power of deep neural network we propose a new method that combines a supervised dimensionality ...


Signal Quality Monitoring Of Gnss Signals Using A Chip Shape Deformation Metric, Nicholas C. Echeverry 2020 Air Force Institute of Technology

Signal Quality Monitoring Of Gnss Signals Using A Chip Shape Deformation Metric, Nicholas C. Echeverry

Theses and Dissertations

The Global Navigation Satellite System continues to become deeply em-bedded within modern civilization, and is depended on for confident, accurate navigation information. High precision position and timing accuracy is typically achieved using differential processing, however these systems provide limited compensation for distortions caused by multi-path or faulty satellite hardware. Signal Quality Monitoring (SQM) aims to provide confidence in a receivers Position, Navigation, and Timing solution and to offer timely warnings in the event that signal conditions degrade to unsafe levels. The methods presented in this document focus on implementing effective SQM using low-cost Commercial Off-the-Shelf equipment, a Software Defined Radio ...


Wideband Metasurface Antenna, Thomas A. Lepley 2020 Air Force Institute of Technology

Wideband Metasurface Antenna, Thomas A. Lepley

Theses and Dissertations

This effort explored design of metasurface antennas and evaluated their suitability for ultra-wideband applications (2 to 18 GHz). Six unit cell types were characterized. Eigenmode simulations produced frequency vs. phase data for the unit cells, from which impedance vs. gap size data was computed. A holographic design equation was used to generate the metasurface antenna designs. The unit cell simulations revealed that the assumption of single mode operation is a constraint for wideband designs. An 8" by 8" metasurface antenna with a Rogers 3010 dielectric and a design frequency of 10 GHz was fabricated and tested. It had a 1 ...


Extracting Range Data From Images Using Focus Error, Erik M. Madden 2020 Air Force Institute of Technology

Extracting Range Data From Images Using Focus Error, Erik M. Madden

Theses and Dissertations

Air-to-air refueling (AAR) has become a staple when performing long missions with aircraft. With modern technology, however, people have begun to research how to perform this task autonomously. Automated air-to-air refueling (A3R) is this exact concept. Combining many different systems, the idea is to allow computers on the aircraft to link up via the refueling boom, refuel, and detach before resuming pilot control. This document lays out one of the systems that is needed to perform A3R, namely, the system that extracts range data. While stereo cameras perform such tasks, there is interest in finding other ways of accomplishing the ...


A Non-Destructive Evaluation Application Using Software Defined Radios And Bandwidth Expansion, Nicholas J. O'Brien 2020 Air Force Institute of Technology

A Non-Destructive Evaluation Application Using Software Defined Radios And Bandwidth Expansion, Nicholas J. O'Brien

Theses and Dissertations

The development of low-complexity, lightweight and low-cost Non-Destructive Evaluation (NDE) equipment for microwave device testing is desirable from a maintenance efficiency and operational availability perspective. Current NDE equipment tends to be custom-designed, cumbersome and expensive. Software Defined Radio (SDR) technology, and a bandwidth expansion technique that exploits a priori transmit signal knowledge and auto-correlation provides a solution. This research investigated the reconstruction of simultaneous SDR receiver instantaneous bandwidth (sub-band) collections using single, dual and multiple SDR receivers. The adjacent sub-bands, collectively spanning a transmit signal bandwidth were auto-correlated with a replica transmit signal to restore frequency and phase offsets. The ...


One-Dimensional Multi-Frame Blind Deconvolution Using Astronomical Data For Spatially Separable Objects, Marc R. Brown 2020 Air Force Institute of Technology

One-Dimensional Multi-Frame Blind Deconvolution Using Astronomical Data For Spatially Separable Objects, Marc R. Brown

Theses and Dissertations

Blind deconvolution is used to complete missions to detect adversary assets in space and to defend the nation's assets. A new algorithm was developed to perform blind deconvolution for objects that are spatially separable using multiple frames of data. This new one-dimensional approach uses the expectation-maximization algorithm to blindly deconvolve spatially separable objects. This object separation reduces the size of the object matrix from an NxN matrix to two singular vectors of length N. With limited knowledge of the object and point spread function the one-dimensional algorithm successfully deconvolved the objects in both simulated and laboratory data.


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