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Synthesizing Adversarial Examples For Neural Networks, Hasitha Rasineni

Creative Components

As machine learning is being integrated into more and more systems, such as autonomous vehicles or medical devices, they are also becoming entry points for attacks. Many sate-of-the-art neural networks have been proved, to be vulnerable to adversarial examples. These failures of machine learning models demonstrate that even simple algorithms can behave very differently from what their designers intend to. In order to close this gap between what designers intend to and how algorithms behave, there is a huge need for preventing adversarial examples to improve the credibility of the model. This study focuses on synthesizing adversarial examples using two ...

An Analysis Of The Barriers To And Drivers Of Green Public Procurement In Achieving A More Sustainable Construction Industry, Myles Keaveney, Paul Butler

Conference papers

The public sector in Ireland possesses enormous purchasing power which has the strength to affect production and consumption trends in all market sectors. Environmental purchasing tools such as Green Public Procurement (GPP) are seen by many as the solution to greener purchasing decisions in order to obtain and maintain not only a more sustainable construction sector but also a more sustainable economy. The purpose of this research is to determine and examine the key barriers to and drivers of implementing GPP in public procurement departments in order to reduce the effect construction works have on the environment. There was limited ...

Design Of Microwave Lowpass Filters Based On Metamaterial Components, Mushtaq Ahmed

Mushtaq A. Alqaisy

No abstract provided.

Purification Of I-129 From Spent Pwr Fuel, Sydney B. Whitaker, Kaitlyn Pierson, Kaylie Richard, Samantha Cahill

Chancellor’s Honors Program Projects

No abstract provided.

Mathematical Modeling Of A Two Wheeled Robotic Base, Kathryn Remell

Mechanical Engineering Undergraduate Honors Theses

This thesis presents the concept of using a two wheeled robot on the moon and briefly explores the requirements for successful long term operation in a lunar environment. The mathematical model for the motion of a robot with two fixed wheels on a differential drive with in a global reference frame. The robot is assumed to be balancing a platform so the mathematical model to balance the platform with wheel motors is also developed and briefly evaluated.

The Ftc And Ai Governance: A Regulatory Proposal, Michael Spiro

Seattle Journal of Technology, Environmental & Innovation Law

No abstract provided.

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Camera Placement Meeting Restrictions Of Computer Vision, Sara Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

In the blooming era of smart edge devices, surveillance cam- eras have been deployed in many locations. Surveillance cam- eras are most useful when they are spaced out to maximize coverage of an area. However, deciding where to place cam- eras is an NP-hard problem and researchers have proposed heuristic solutions. Existing work does not consider a signifi- cant restriction of computer vision: in order to track a moving object, the object must occupy enough pixels. The number of pixels depends on many factors (how far away is the object? What is the camera resolution? What is the focal length ...

Substitutional And Interstitial Doping In Laco5 System For The Development Of Hard Magnetic Properties: A First Principles Study, Huseyin Ucar, Renu Choudhary, Durga Paudyal

Ames Laboratory Accepted Manuscripts

We investigate here the changes in the electronic structure at the transition metal sites of the RE-TM5 structure (RE = Rare Earth, TM = Transition Metal) while doping the interstitial sites with nitrogen. LaCo5 compound is taken as the baseline compound owing to its critically needed intrinsic magnetic properties such as magneto-crystalline anisotropy energy (MAE) of ≈5 meV/fu [1] due to the contributions from the cobalt network. In addition, because of the lack of 4f electrons in lanthanum, complications originating from the treatment of the 4f localized electrons are absent in this compound; making it an ideal reference material to all ...

Advancing Water Resources Systems Modeling Cyberinfrastructure To Enable Systematic Data Analysis, Modeling, And Comparisons, Adel Mohammad Kheir Abdallah

All Graduate Theses and Dissertations

Water resources systems models aid in managing water resources holistically considering water, economic, energy, and environmental needs, among others. Developing such models require data that represent a water system’s physical and operational characteristics such as inflows, demands, reservoir storage, and release rules. However, such data is stored and described in different formats, metadata, and terminology. Therefore, Existing tools to store, query, and visualize modeling data are model, location, and dataset-specific, and developing such tools is time-consuming and requires programming experience. This dissertation presents an architecture and three software tools to enable researchers to more readily and consistently prepare and ...

Thermal Modeling And Analysis Of Roadway Embedded Wireless Power Transfer Modules, Arden N. Barnes

All Graduate Theses and Dissertations

Wireless charging of electric vehicles is a developing technology which potentially increases efficiency and safety. It also allows for charging vehicles while they are moving by having charging stations embedded in the roadway. Because roadways are thermally insulating, it is important to know how the heat from the charging stations will move through the roadway, which will allow further research into whether the heat will cause damage to the components in the station or to the roadway. This thesis studies the way the heat moves through concrete with wireless charging coils embedded in it. This is accomplished by measuring the ...

Evaluating The Hydraulic Performance Of Digital Photogrammetry-Derived 3-Dimensional Models Of A Hydraulic Structure Using Computational Fluid Dynamics, Tyler J. Ashby

All Graduate Theses and Dissertations

This research investigated the combination of aerial imagery, photogrammetry, and computational fluid dynamics (CFD). Two 3D models of an 8-ft ramp flume were developed from aerial imagery using a commercial photogrammetry software. The GCP model was developed using ground control points (GCP) to improve and measure the model’s accuracy. The Non-GCP model used GCPs as check points, which only measure the model’s accuracy. The horizontal and vertical errors were, respectively, 0.39 in. and 0.73 in. for the GCP model, and 5.37 in. and 2.80 in. for the Non-GCP model.

In addition to the GCP ...

Indoor Source Localization Of Radio Frequency Transmitters Using Blind Channel Identification Techniques, Madison L. Rose

All Graduate Theses and Dissertations

Locating transmitters is a research area that is becoming increasingly relevant as technology advances. It is especially useful for determining the location of livestock, drones, keys, phones, tablets, etc. As a result of this push for locating devices, many algorithms have been developed to determine source locations. Most source location algorithms and techniques rely on a “line of sight”, or a direct path between the source and the receivers to provide accurate results.

Indoor environments pose a challenge to locating transmitters due to the many surfaces that allow radio waves to interact (reflect, refract, and generally distort) with them. Because ...

Benchmarking Of A Mobile Phone Particle Image Velocimetry System, David Armijo

All Graduate Theses and Dissertations

One of the most important tools in a fluid dynamics laboratory is a particle image velocimetry (PIV) system. This system can measure the speed of a fluid flow simply by taking high-speed images of the motion of the fluid, then applying PIV cross-correlation software to calculate speed from the resulting images. The mI-PIV project is in the process of designing a new method of performing PIV by putting the cross-correlation software on a mobile phone application, called mobile Instructional PIV (mI-PIV). This system is an innovative stepping stone in making PIV systems more widely available. It is designed to be ...

Optimization Of Aileron Spanwise Size And Shape To Minimize Induced Drag In Roll With Correlating Adverse Yaw, Joshua R. Brincklow

All Graduate Theses and Dissertations

Most modern aircraft make use of modifying the main wing in flight to begin a roll. In many cases, this is done with a discrete control surface known as an aileron. The lift, drag, and moments for the wing are affected in part by the location and size of the ailerons along the length of the wing. The lift, drag, and moments can be found using a lifting-line theory that considers the circulation in airflow from many small sections of the wing. To minimize the drag due to lift on the wing, the ailerons must be optimized for the best ...

The Role Of Carbonate Minerals In Arsenic Mobility In A Shallow Aquifer Influenced By A Seasonally Fluctuating Groundwater Table, Jeremy Jensen

All Graduate Theses and Dissertations

Arsenic (As) is a poison historically used to great effect before modern detection methods rendered it obsolete. However, the largest mass poisoning in human history occurred due to groundwater in the Bengal Basin contaminated by natural sources of As. Since that time, research has determined that As is found in groundwater worldwide. This includes aquifers located in basin-filled valleys of the western United States. One of these valleys is the Cache Valley Basin located in Northern Utah. This semi-arid region contains carbonate-rich soils and is heavily influenced by snowmelt and seasonal runoff. Previous studies have found that 15% of private ...

Design And Testing Of A Multi-Depth Soil Temperature Sensor Array Intended As A Candidate Irrigation Scheduling Tool, Lillian Glaeser

Biological and Agricultural Engineering Undergraduate Honors Theses

A crucial measure in the advancement of water conservation and sustainable agricultural strategies is increasing efficiencies of irrigation systems. Because of the lack of availability of affordable, durable, and scalable soil moisture monitoring devices, this thesis proposes a low-cost, multi-depth soil temperature sensor array as a candidate for monitoring soil moisture content and guiding farmer’s irrigation scheduling. Propagation of diurnal temperature waves through soil is dependent on the thermal diffusivity of the soil, which can be determined by examining temperature waves at different soil depths. Thermal diffusivity is dependent on several factors, though, in undisturbed soil, water has the ...

"A Comparison Of Variable Selection Methods Using Bootstrap Samples From Environmental Metal Mixture Data", Paul-Yvann Djamen 4785403, Paul-Yvann Djamen

Mathematics & Statistics ETDs

In this thesis, I studied a newly developed variable selection method SODA, and three customarily used variable selection methods: LASSO, Elastic net, and Random forest for environmental mixture data. The motivating datasets have neuro-developmental status as responses and metal measurements and demographic variables as covariates. The challenges for variable selections include (1) many measured metal concentrations are highly correlated, (2) there are many possible ways of modeling interactions among the metals, (3) the relationships between the outcomes and explanatory variables are possibly nonlinear, (4) the signal to noise ratio in the real data may be low. To compare these methods ...

A Real-Time Feature Indexing System On Live Video Streams, Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, Yung-Hsiang Lu

Computer Science: Faculty Publications and Other Works

Most of the existing video storage systems rely on offline processing to support the feature-based indexing on video streams. The feature-based indexing technique provides an effec- tive way for users to search video content through visual features, such as object categories (e.g., cars and persons). However, due to the reliance on offline processing, video streams along with their captured features cannot be searchable immediately after video streams are recorded. According to our investigation, buffering and storing live video steams are more time-consuming than the YOLO v3 object detector. Such observation motivates us to propose a real-time feature indexing (RTFI ...

Synthesis And Fabrication Of Self-Sustainable Triboelectric, Abu Masa Abdullah, Alejandro Flores, Aminur Rashid Chowdhury, Jianzhi Li, Yuanbing Mao, Jasim Uddin

Chemistry Faculty Publications and Presentations

In recent times, Triboelectric Nanogenerators (TENG) have attained the focus of the scientific community due to its potential as a medium to harvest mechanical energy from the ambient environment. Human motion has been attributed as a source of mechanical energy to drive electronic devices and sensors through TENG. Based on the principles of single electrode TENG, we have developed a Triboelectricity based Stepping and Tapping Energy Case (TESTEC) which magnifies the prospect to power touch electronic devices by utilizing finger tapping and stepping motion. This novel case was constructed with two single electrode TENG operating through the triboelectric mechanism between ...

Low-Temperature Pyrolysis Of Municipal Solid Waste Components And Refuse-Derived Fuel—Process Efficiency And Fuel Properties Of Carbonized Solid Fuel, Kacper Swiechowski, Ewa Syguła, Jacek A. Koziel, Paweł Stepien, Szymon Kugler, Piotr Manczarski, Andrzej Białowiec

Agricultural and Biosystems Engineering Publications

New technologies to valorize refuse-derived fuels (RDFs) will be required in the near future due to emerging trends of (1) the cement industry’s demands for high-quality alternative fuels and (2) the decreasing calorific value of the fuels derived from municipal solid waste (MSW) and currently used in cement/incineration plants. Low-temperature pyrolysis can increase the calorific value of processed material, leading to the production of value-added carbonized solid fuel (CSF). This dataset summarizes the key properties of MSW-derived CSF. Pyrolysis experiments were completed using eight types of organic waste and their two RDF mixtures. Organic waste represented common morphological ...

Simulation Of Cu Precipitation In Fe-Cu Dilute Alloys With Cluster Mobility, Senlin Cui, Mahmood Mamivand, Dane Morgan

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Cu-rich precipitates formation is associated with the precipitation hardening of Fe-Cu based steels and the embrittlement of reactor pressure vessel steels under neutron irradiation. The accurate modeling of the time evolution of Cu-rich precipitates is therefore of fundamental importance for the design of Fe-Cu based steels and the prediction of the irradiation induced shift of the ductile to brittle transition temperature of reactor pressure vessels. This work applies cluster dynamics with mobile Cu monomers and clusters to model Cu precipitation in dilute Fe-Cu alloys at several temperatures. Optimized model parameters can be used to simulate the mean radius, number density ...

Metabolic Engineering Of An Acid-Tolerant Yeast Strain Pichia Kudriavzevii For Itaconic Acid Production, Wan Sun, Ana Vila-Santa, Na Liu, Tanya Prozorov, Dongming Xie, Nuno Torres Faria, Frederico Castelo Ferreira, Nuno Pereira Mira, Zengyi Shao

Chemical and Biological Engineering Publications

Itaconic acid (IA), or 2-methylenesuccinic acid, has a broad spectrum of applications in the biopolymer industry owing to the presence of one vinyl bond and two acid groups in the structure. Its polymerization can follow a similar mechanism as acrylic acid but additional functionality can be incorporated into the extra beta acid group. Currently, the bio-based production of IA in industry relies on the fermentation of the filamentous fungus Aspergillus terreus. However, the difficulties associated with the fermentation undertaken by filamentous fungi together with the pathogenic potential of A. terreus pose a serious challenge for industrial-scale production. In recent years ...

Backing Up Into Advocacy: The Case Of Smartphone Driver Distraction, Robert Rosenberger

The Journal of Sociotechnical Critique

For the last decade, I’ve been studying the topic of the driving impairment of smartphones. While this began as an exclusively academic project, it has increasingly compelled public engagement. One example of this came in an opinion piece I wrote in 2018 in response to a new traffic law. I take the opportunity here to fill out the academic backstory of this particular op-ed, reflect on how this larger project has evolved to include an unanticipated public-facing edge, and abstract some lessons about public writing.

From Protecting To Performing Privacy, Garfield Benjamin

The Journal of Sociotechnical Critique

Privacy is increasingly important in an age of facial recognition technologies, mass data collection, and algorithmic decision-making. Yet it persists as a contested term, a behavioural paradox, and often fails users in practice. This article critiques current methods of thinking privacy in protectionist terms, building on Deleuze's conception of the society of control, through its problematic relation to freedom, property and power. Instead, a new mode of understanding privacy in terms of performativity is provided, drawing on Butler and Sedgwick as well as Cohen and Nissenbaum. This new form of privacy is based on identity, consent and collective action ...

Poultry Farm Security Gate: Autonomous Vehicle Recognition System, Kaitlyn M. Nelms, Mary A. Morris

Biosystems Engineering and Soil Science Publications and Other Works

This project addresses the lack of security on access roads to broiler poultry farms in Tennessee by creating a system that autonomously recognizes vehicles as they approach the farm property. Many of these farms lack gates with proper security, making them vulnerable to vandalism and risking their biosecurity. Allowing all feed trucks entry to the farms is a vital requirement of the design in order to avoid interrupting operations on the farm. To address this issue, this project utilizes a combination of automated license plate reading software and light detection and ranging sensors (LiDAR) to autonomously recognize a vehicle and ...

A Statistical Impulse Response Model Based On Empirical Characterization Of Wireless Underground Channel, Abdul Salam, Mehmet C. Vuran, Suat Irmak

Faculty Publications

Wireless underground sensor networks (WUSNs) are becoming ubiquitous in many areas. The design of robust systems requires extensive understanding of the underground (UG) channel characteristics. In this paper, an UG channel impulse response is modeled and validated via extensive experiments in indoor and field testbed settings. The three distinct types of soils are selected with sand and clay contents ranging from $13\%$ to $86\%$ and $3\%$ to $32\%$, respectively. The impacts of changes in soil texture and soil moisture are investigated with more than $1,200$ measurements in a novel UG testbed that allows flexibility in soil moisture control. Moreover ...

3-D Printed Hybrid Propulsion Solutions For Smallsat Lunar Landing And Sample Return, Stephen A. Whitmore

Funded Research Records

No abstract provided.

Enhancing Facility Management For Existing Facilities With Building Information Modeling, Ryan Loeh

Theses and Dissertations

Building information modeling (BIM) refers to the process of creating a comprehensive three-dimensional (3D) model that allows for a seamless transition from design and construction to operation & maintenance during a building's lifecycle. While a majority of past research for building information modelling was focused on design and construction, research has shifted to operation, maintenance and renovation. This study investigates the feasibility of integrating BIM (Autodesk Revit) and facility management (BUILDER SMS). BUILDER SMS is currently used at the sponsor's facilities to encourage proactive maintenance and provide updated condition assessments. While both datasets have their own benefits, this study ...