Digital Commons Network^™

Influence Of Warm‑Mixed Flame Retardant Technology On Construction Environment Of Asphalt Pavement In Long Tunnel, Xian Jianglin, Li Yanxiang, Yang Qingyang

Journal of China & Foreign Highway

With the long tunnel as the research object，the variation of volatile organic compound （VOC） volume fraction，CO volume fraction，and illuminance in the construction area of the middle of the tunnel under the conditions of hot mix technology and warm-mixed flame retardant technology was tested respectively，and the influence of warm-mixed flame retardant technology on the construction environment of asphalt pavement in long tunnels was analyzed and evaluated.The results show that when the pavement of a long tunnel adopts hot mix technology，the mass concentration of asphalt fume in the whole operation area is relatively high，and that in some areas exceeds the threshold value.The …

New York City’S Rising Sea Level And Coastal Erosion: Approaches To Resiliency, Ryder D. Isidro

Student Theses 2015-Present

No abstract provided.

Global-To-Local Dependencies In Phosphorus Mass Flows And Markets: Pathways To Improving System Resiliency In Response To Exogenous Shocks, Justin Baker, Nathan Schunk, Matt Scholtz, Ashton Merck, Rebecca Muenich, Paul Westerhoff, James J. Elser, Owen W. Duckworth, Luke Gatiboni, Minhazul Islam, Anna-Maria Marshall, Rosangela Sozzani, Brooke K. Meyer

Biological and Agricultural Engineering Faculty Publications and Presentations

Uneven global distribution of phosphate rock deposits and the supply chains to transport phosphorus (P) make P fertilizers vulnerable to exogenous shocks, including commodity market shocks; extreme weather events or natural disasters; and geopolitical instability, such as trade disputes, disruption of shipping routes, and war. Understanding bidirectional risk transmission (global-to-local and local-to-global) in P supply and consumption chains is thus essential. Ignoring P system interdependencies and associated risks could have major impacts on critical infrastructure operations and increase the vulnerability of global food systems. We highlight recent unanticipated events and cascading effects that have impacted P markets globally. We discuss …

Hybrid Rib And Air Core Arrow Waveguides Fabricated In A Thin Membrane Covered Trench, Seth Brent Walker

Theses and Dissertations

The focus of this work is the development of hollow core Anti-Resonant Reflecting Optical Waveguides (ARROWs) fabricated in a membrane covered trench. This technique is a new approach at building more efficient hollow core waveguides for integration into various platforms that involve liquid or gases. These structures are built on silicon wafers using standard microfabrication techniques, including plasma etching to form trenches. Four waveguide designs are demonstrated, which have different numbers of thin film reflecting layers. Research and manufacturing were conducted in BYU's Integrated Microelectronic Laboratory (IML). A brief history of past work at BYU on hollow core ARROW devices …

Ammonia Recovery From Digester Centrate With Electrochemical Membrane Systems: Mechanism, Performance, And Application, Fubin Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Nitrogen plays an indispensable role in living organisms and thus is a key element for agricultural production. Ammonia (NH3), as an important part in nitrogen cycle, can be synthesized by nitrogen fixing bacteria and the Haber-Bosch process, the latter of which requires an extensive energy input. Wastewaters can contain a large amount of nitrogen compounds because of kitchen and toilet wastes being discharged to sewage. The concentration of ammonia nitrogen (NH4+-N) can be hundreds mg per liter in some wastewaters like anaerobic digester (AD) centrate. However, both Haber-Bosch process and conventional wastewater ammonia treatment process are energy intensive, which making …

Using Digital Twins To Protect Biomanufacturing From Cyberattacks, Brenden Fraser-Hevlin, Alec W. Schuler, B. Arda Gozen, Bernard J. Van Wie

Military Cyber Affairs

Understanding of the intersection of cyber vulnerabilities and bioprocess regulation is critical with the rise of artificial intelligence and machine learning in manufacturing. We detail a case study in which we model cyberattacks on network-mediated signals from a novel bioreactor, where it is important to control medium feed rates to maintain cell proliferation. We use a digital twin counterpart reactor to compare glucose and oxygen sensor signals from the bioreactor to predictions from a kinetic growth model, allowing discernment of faulty sensors from hacked signals. Our results demonstrate a successful biomanufacturing cyberattack detection system based on fundamental process control principles.

Characterizing Advanced Persistent Threats Through The Lens Of Cyber Attack Flows, Logan Zeien, Caleb Chang, Ltc Ekzhin Ear, Dr. Shouhuai Xu

Military Cyber Affairs

Effective cyber defense must build upon a deep understanding of real-world cyberattacks to guide the design and deployment of appropriate defensive measures against current and future attacks. In this abridged paper (of which the full paper is available online), we present important concepts for understanding Advanced Persistent Threats (APTs), our methodology to characterize APTs through the lens of attack flows, and a detailed case study of APT28 that demonstrates our method’s viability to draw useful insights. This paper makes three technical contributions. First, we propose a novel method of constructing attack flows to describe APTs. This abstraction allows technical audiences, …

Machine Learning Security For Tactical Operations, Dr. Denaria Fields, Shakiya A. Friend, Andrew Hermansen, Dr. Tugba Erpek, Dr. Yalin E. Sagduyu

Military Cyber Affairs

Deep learning finds rich applications in the tactical domain by learning from diverse data sources and performing difficult tasks to support mission-critical applications. However, deep learning models are susceptible to various attacks and exploits. In this paper, we first discuss application areas of deep learning in the tactical domain. Next, we present adversarial machine learning as an emerging attack vector and discuss the impact of adversarial attacks on the deep learning performance. Finally, we discuss potential defense methods that can be applied against these attacks.

Modeling The Effects Of Retinal Thinning And Oxidative Stress During Space Travel, Dillon Weatherston, Dylan Nelson, Justin Jones, Elizabeth Vargis

Utah Space Grant Consortium

Spaceflight causes both physical and chemical changes within the subretinal tissue, particularly the retinal pigment epithelium (RPE) and Bruch’s membrane. Changes such as layer thinning and increases in oxidative stress are both implicated in vision loss caused by spaceflight. While these changes can lead to cell death, the mechanistic impact that these changes have on retinal function are unknown. To isolate the physical alterations to the subretinal tissue caused by space travel, we utilized a tunable in vitro model of Bruch’s membrane and primary porcine RPE cells. Initial results showed that while thinner models can be constructed, they are difficult …

Expedited Cellular Uptake Of Hydrophobic Antioxidants For Oxidative Stress Mitigation Via F127 Micelle Encapsulation, Kyle Jackson, Kade Robison, David Britt, Yu Huang

Utah Space Grant Consortium

Various hydrophobic antioxidants remain unexplored for the treatment of space radiation and oxidative stress due to their inability to enter the cell without a drug delivery vehicle. Here, we explore the Pluronic F127 drug delivery vehicle, known as a micelle, and examine cellular responses following antioxidant delivery and oxidative stress mitigation. We also investigate methods for producing antioxidant-loaded micelles and their potential suitability for astronauts, including the best ways they might be administered during space flight missions. This research paves the way for new antioxidants to be used to protect astronauts from diseases caused by space conditions such as radiation …

Earth Observation Satellite Data Reveals Correlations Between Temperature, Turbidity, And Chlorophyll-A In Utah Lake, Kaylee B. Tanner

Utah Space Grant Consortium

No abstract provided.

Target Position And Velocity Estimation Using Doppler Information From Wifi Signals, James Hyland, Todd K. Moon

Utah Space Grant Consortium

RF signals reflected off of a moving target experience a Doppler shift determined by the speed of the target. This can be used for target tracking, which could be useful in a variety of settings, such as using a communication signal to track a satellite, or to determine the location of a person within the space station. Although these reflections are weak compared to the signal seen from a direct path, the Doppler components can still be extracted. By processing Doppler signals from multiple receivers, the position and velocity of a target moving in the vicinity of the system can …

The Role Of Monitoring The Partial Pressure Of Oxygen In Urine For Early Detection Of Acute Kidney Injury, Lars Lofgren, Kai Kück, Natalie Silverton

Utah Space Grant Consortium

Acute kidney injury (AKI) is defined as an abrupt decrease in renal function due to structural injury. AKI has a large effect on critical care patients due to a relatively high occurrence and association with poor outcomes. Currently, the diagnostic tools that we have, serum creatinine and urine output, are delayed indicators of the presence of injury and simply capture the drop in renal function. However, there is evidence that renal hypoxia plays a role in the development of most forms of AKI. Furthermore, there is a correlation between the partial pressure of oxygen in urine (PuO₂) and …

Affordable Bioprint Head-Adapter For 3d Printers, Andrew Ceralde, Dominic Drake, Noah Engles, Mohammad Alwan, Nevada Perry

Honors Capstones

Introduction: Addressing the need for affordable and accessible bioprinting technology, the Northern Illinois University bioprinting research and design project aims to democratize the field by developing an open source bioprint head. The initiative targets the prohibitive cost of commercial bioprinters by proposing an optimal design that can be integrated with widely available 3D printers, like the Creality Ender-3. This approach seeks to enable the widespread adoption of bioprinting technology, particularly for applications in tissue engineering and regenerative medicine.

Methods: Leveraging SolidWorks for design, the project employs a methodology that combines a precision extrusion system with thermal and UV crosslinking capabilities. …

05.06.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Library Faculty Win NIH Award, Uniform Guidance Updates,

Improving The Power Efficiency Of Woodward’S High-Power Inverter (Hpi) Using Algorithmic Part Selection., Jaron Holder, Ali Al Gazwi, John Childers, Jose Soublett

Honors Capstones

Woodward Inc. is a secondary aerospace manufacturer based in the USA that specializes in aircraft power and control systems. This senior design project was concerned with a power systems platform currently in development by Woodward, the High-Power Inverter (HPI) system. In this report, the senior design group from Northern Illinois University (NIU) demonstrated the creation of an algorithmic part selection process to choose more power-efficient electrical components, the prototyping using MATLAB Simulink, and the practical testing that showed an increase of 7% in the power efficiency of the HPI system.

Detection Of Unauthorized Transmissions In A Frequency Spectrum Using A Wireless Sensor Network, Benjamin Roehrig, Joel Brinkman, Dylan Zupec, Jannette Gonzalez

Honors Capstones

A prototype for a wireless sensor network has been designed to detect and identify unauthorized wireless transmissions in a frequency spectrum. This prototype design is intended to detect unauthorized transmissions within the FM band of frequencies independently at individual nodes with Software Defined Radio receivers and transmit that information to a fusion center for aggregation using a Bluetooth Low Energy mesh network. Aggregated results will be displayed to the user through a Graphical User Interface at the fusion center.

Environmental Drivers Impact The Accumulation And Diversity Of Antibiotic Resistance In Green Stormwater Infrastructure, Kassidy N. O'Malley, Patrick J. Mcnamara, Christopher Marshall, Emily Lou Lamartina, Thuy Duyen Lam, Numair Ali, Walter M. Mcdonald

Civil and Environmental Engineering Faculty Research and Publications

Antibiotic resistance poses an urgent public health concern, with the environment playing a crucial role in the development and dissemination of resistant bacteria. There is a growing body of research indicating that stormwater is a significant source and transport vector of resistance elements. This research sought to characterize the role of green stormwater infrastructure (GSI), designed for stormwater infiltration, in accumulating and propagating antibiotic resistance in the urban water cycle. Sampling included 24 full-scale GSI systems representing three distinct types of GSI - bioswales, bioretention cells, and constructed wetlands. The results indicated that GSI soils accumulate antibiotic resistance genes (ARGs) …

Presence Of Atheromatous Plaques And Theirs Effects On The Blood Flow, Belhocine Mostefa Bm, Amrani Hichem Ah, Fedaoui Kamel Dr, Mazouz Hammoudi Mh

Emirates Journal for Engineering Research

The paper utilizes a finite element method to study both the blood flow and atheromatous plaques. Specifically, the COMSOL finite element package is employed to achieve a fluid model. COMSOL is a powerful finite element tool commonly used in various research and industrial domains to study multiphysics problems. The focus of the investigation is on the geometric aspects of the atheromatous plaques. The study considers different forms and arrangements of stenosis, taking into account the irregularities formed by various shapes of the plaques and the resulting flow patterns. The key findings of the research suggest that the pressure and velocity …

Selective Separation Of Metal Ions From Aqueous Process Streams Using Magnetite Adsorbent, Daniel Geottlich

Graduate Theses & Non-Theses

The effect of coexisting ions on the selectivity of adsorption onto magnetite nanoparticles (MNPs) for various elements in aqueous solutions was investigated. Surrogate solutions of varying concentrations of rare earth elements (REEs), heavy metals, and gangue elements (low commercial value elements or metals) were mixed with MNPs. Selectivity experiments were performed on surrogate samples based on the composition of a REE ore concentrate and a leach liquor from the chlorinated products of the roasted REE ore concentrate. Adsorption efficiency of magnetite was determined by measuring ion concentration in a sample using inductively coupled plasma-optical emission spectroscopy (ICP-OES). Magnetite is selective …

Comparison Of All-In Sustaining Costs, Gold Grade, And Gold Prices In North American Gold Mining Companies, David Abiodun

Graduate Theses & Non-Theses

Mining has evolved into an equilibrium of ore deposit management, environmental stewardship, and economic profitability that necessitates a proper understanding of economics and production efficiency. The All-In Sustaining Cost (AISC) was introduced in 2013 to better capture the cost of producing one ounce of gold and, when compared with the gold price and grade, could describe a company’s gold production efficiency. In this paper, this novel analysis focuses on US and Canadian operations under Barrick and Newmont, the two largest gold mining companies in North America, from 2019-2022. Published data for Coeur and Kinross were also secondarily analyzed. Under Newmont …

Mpem Capstone Presentation, Jason Schneider

Graduate Theses & Non-Theses

Master of Project, Engineering and Management (MPEM) Final Capstone Presentation.

Enabling On-Device Learning Through Hybrid Edge Computing Frameworks, Md Sharif Ahmed

Electrical Engineering Theses

In recent advancement of technology implementing Machine Learning (ML) algorithms with edge devices has gained remarkable popularity. Enabling Machine Learning (ML) in the edge opened new hybrid branch where edge hardware meets with Machine Learning (ML). Day by day devices are becoming more powerful and capable of doing a lot of computation. These powerful computational capabilities created the way of implementing Machine Learning (ML) on small edge devices. There are diverse ways we can implement machine learning models to the edge. For any embedded prototype, implementation of Tiny Machine Learning (TinyML) is making the IoT (Internet of Things) devices intelligent …

Investigating The Impact Of Secondary Activation Time On The Adsorption Properties Of Activated Biochar For Arsenic Removal From Wastewater, Achyuth Bharadwaj Rayarao

Graduate Theses and Dissertations (2019 - present)

Biochar, a naturally occurring and renewable carbon material, becomes porous through activation. Activated biochar is an ideal candidate for use as an adsorbent. The objective of this study is to investigate whether activated biochar derived from Colorado soft pine serves as a better adsorbent and demonstrates enhanced adsorption capabilities after undergoing secondary physical activation at various activation times. The effect of secondary action time on physical adsorption properties drawn from the analysis of isotherm plots, surface areas and pore size patterns were examined by using a physisorption analyzer. Chemical structures were identified using both ultimate and proximate analyses, while porosity …

Rgb Root Matriz Color Dance, Danielle E. Gauthier

Theses and Dissertations

RGB Root Matriz Color Dance (Color Dance) is an immersive, interactive experience that combines poetic phrases and color filters to create a womb-like environment. Designed by Danielle Gauthier, this artistic piece uses a webcam to respond to users’ movements in real time, allowing them to confront and express their emotions through metaphor and dance. Color Dance creates a unique platform for self-discovery and empowerment by fostering a connection between the body and discomforting emotions.

Simulating Information And Communication Applications In Employee Interaction Network Models, Matthew Kanter

Departmental Honors & Graduate Capstone Projects

Information and communication technology (ICT) use has been identified throughout its development and evolution with the Internet boom as a net positive tool for most employees and organizations in the working world. Only recently have studies regarding employees’ well-being begun to come to the forefront of research regarding these rapidly evolving technologies, however these are important issues to discuss in the context of work-life boundary management, emotional exhaustion, overwhelming stress levels, and moral disengagement among other employee well-being dimensions. To explore how employees’ well being might be influenced by ICT use, this study conducted a quantitative survey and analyzed a …

Analyzing Information Cascades Through Machine Learning And Data Analytics, Betul Agirman

Honors Scholar Theses

In today's digital age, social media platforms have become pivotal in influencing public opinion and behavior, with information spreading being both beneficial and detrimental. This rapid spread is typically called an information cascade, and they are important in further understanding social influence, managing misinformation, and even predicting potential trends of public responses. With social media, people are connected so easily to one another like a network, wherein it becomes possible for them to influence each other’s behavior and decisions. Utilizing a dataset from Weibo that spans critical periods of the COVID-19 outbreak, this study integrates machine learning and data analytics …

Detection Of Unauthorized Transmissions In A Frequency Spectrum Using Wireless Sensor Network, Joel Brinkman, Jannette Gonzalez, Benjamin Roehrig, Dylan Zupec

Honors Capstones

A prototype for a wireless sensor network has been designed to detect and identify unauthorized wireless transmissions in a frequency spectrum. This prototype design is intended to detect unauthorized transmissions within the FM band of frequencies independently at individual nodes with Software Defined Radio receivers and transmit that information to a fusion center for aggregation using a Bluetooth mesh network. Aggregated results will be displayed to the user through a Graphical User Interface at the fusion center.

Improvement Of The Seismic Safety System For The Population And Territory Of The Republic Of Uzbekistan, Muslima Аbdurakhimkho‘Jayeva, Oyqiz Yokubjonova, Oydin Khasanova Docent

Technical science and innovation

Central Asian seismologists show high magnitudes of potential future earthquakes (8 and higher), which corresponds to a probable level of macroseismic intensity of 9 or more points. Considering that zones with a high level of seismic hazard coincide with densely populated areas, as well as taking into account the seismic vulnerability of existing buildings, it can be stated that in Each existing level of seismic risk is very high and the consequences of future earthquakes can be catastrophic.

In recent years, large-scale comprehensive measures have been implemented in the Republic of Uzbekistan to develop the fields of seismology, ensure earthquake …

Creating A Bio-Based Circular Economy From Louisiana Sugarcane Byproducts, G. Aita, D. Bhatnagar, G. O. Bruni, M. Deliberto, G. Eggleston, A. Finger, K. Gravois, M. Isied, W. Judice, K. T. Kasson, I. M. Lima, J. L. Purswell, Mena I. Souliman, E. Terrell, B. S. Tubana, H. L. Waguespack Jr., J. J. Wang, P. M. White Jr.

Civil Engineering Faculty Publications and Presentations

Sugarcane (Saccharum officinarum) is Louisiana's number one row crop. Growing and processing sugarcane produces significant amounts of byproducts, including bagasse, crop residue, molasses, filter-press mud, and boiler fly ash. These products represent an important opportunity to generate value-added and specialty products and enhance sugarcane's sustainability by facilitating a circular economy, where agricultural by-products are reused instead of disposing them (linear economy), in order to reduce resource use and energy demand. Examples of value-added products range from biochar, construction materials, animal feed, biofuels, nanoparticles, and fertilizer. Paramount to the success of the bio-based circular economy is creating useful products that are …