Engineering Commons^™

Refactoring Dependency Loading And Standardizing Factory Patterns In The Horizon Simulation Framework, Jack W. Kelly

Master's Theses

The Horizon Simulation Framework (HSF) is an open-source community driven mod- eling and simulation tool developed over 15 years by a lineage of Cal Poly graduate students. The tool excels in its flexibility to model an assortment of complex systems, with prebuilt modeling elements available for the simulation of space missions. A high-level simulation tool like HSF lends itself to an agile development cycle as system constraints can be quickly identified through day in the life simulation of the modeled system. The objective of the work presented in this thesis is to refactor the way in which several modeling elements …

Integrated Electrocoagulation, Ultrafiltration, Membrane Distillation, And Crystallization For Treating Produced Water, Mahmood Jebur, Yelyzaveta Bachynska, Xiaolei Hao, Sumith Ranil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

Produced water (PW) generated from hydraulic fracturing operations was treated using an integrated electrocoagulation, ultrafiltration, membrane distillation, and crystallization process (EC UF MDC). The aim was to determine the viability of this integrated process for maximizing water recovery. The results obtained here indicate that optimizing the various unit operations could lead to increased recovery of PW. Membrane fouling limits all membrane separation processes. A pretreatment step to suppress fouling is essential. Here, removal of total suspended solids (TSS) and total organic carbon (TOC) was achieved by electrocoagulation (EC) followed by ultrafiltration (UF). The hydrophobic membrane used in membrane distillation may …

Overview Of Low-Cost Carriers In Russia And Post-Soviet States, Tamilla Curtis, Dawna L. Rhoades

Publications

The low-cost carrier's model made remarkable gains across the globe in the prior decade, although growth was uneven domestically and intraregionally. Within this region, there are significant differences in overall country size, the size of the domestic aviation market, and the number of carriers serving the market. The largest and most developed market is in Russia, but rest of the region also experienced growth in economy airlines' activity as they discovered the power of the model to expand aviation access and lower costs. The success of low-cost carriers, however, has been halting and hampered by government decisions on foreign investment, …

Architectural Education And Targeted Skills An Evaluation Study Of Scientific Research Influence As Of Mechanisms Of Teaching And Learning, Heba Mahrous Ali

Mansoura Engineering Journal

The Engineering Study offers students an effective and technologically built education, considering the future prospects of science and technology. It also provides the technical knowledge and skills necessary to solve problems that allow future challenges to be addressed. Architecture is based on knowledge and skills in humanities, physics, humanities, and fine and applied arts. Therefore, what is taught about engineering subjects affects the extent of students' perception and this is evident in the extent of its interaction in the form of examinations or research. Scientific research is of great importance in he understanding of the student's understanding of scientific material. …

Neural Correlates Of Post-Traumatic Brain Injury (Tbi) Attention Deficits In Children, Meng Cao

Dissertations

Traumatic brain injury (TBI) in children is a major public health concern worldwide. Attention deficits are among the most common neurocognitive and behavioral consequences in children post-TBI which have significant negative impacts on their educational and social outcomes and compromise the quality of their lives. However, there is a paucity of evidence to guide the optimal treatment strategies of attention deficit related symptoms in children post-TBI due to the lack of understanding regarding its neurobiological substrate. Thus, it is critical to understand the neural mechanisms associated with TBI-induced attention deficits in children so that more refined and tailored strategies can …

Motion-Resistant Pulse Oximetry, Ludvik Alkhoury

Dissertations

The measurement of vital signs ? such as peripheral capillary oxygen saturation (SpO₂) and heart rate (HR) levels ? by a pulse oximeter is studied. The pulse oximeter is a non-invasive device that measures photoplethysmography (PPG) signals and extracts vital signs from them. However, the quality of the PPG signal measured by oximetry sensors is known to deteriorate in the presence of substantial human and sensor movements contributing to the measurement noise. Methods to suppress such noise from PPG signals measured by an oximeter and to calculate the associated vital signs with high accuracy even when the wearer …

Biomechanical And Psychophysical Underpinnings Of Balance Dysfunction In Individuals With Traumatic Brain Injury, Naphtaly Ehrenberg

Dissertations

Falls are a major burden on healthcare infrastructure, especially in older adults and even more so in older individuals that are living in institutions. According to data from the Centers for Disease Control and Prevention (CDC), from 2010 to 2020, unintentional falls were the leading cause of nonfatal emergency department visits for all age groups except among individuals from 15-24 years of age, where unintentional falls ranked a very close second to being unintentionally struck by or against. Among older individuals living in the community, approximately 30-35% fall at least once in a given year, and around three times as …

Sparse Methods For Blind Source Separation Of Frequency Hopping Rf Sources, Anushreya Ghosh

Dissertations

Blind source separation (BSS) is performed on frequency hopping (FH) sources. These radio frequency (RF) signals are observed by a uniform linear array (ULA) over a Spatial Channel Model (SCM) in four different propagation environments: (i) line-of-sight (LOS), (ii) single-cluster, (iii) multiple-cluster, and (iv) LOS with interference. The sources are spatially sparse, and their activity is intermittent and assumed to follow a hidden Markov model (HMM). BSS is achieved by utilizing direction of arrival (DOA) of the sources and clusters. A sparse detection framework is applied to obtain estimates of the sources' FH and DOA patterns. The solutions are binned …

Cu/Bnx Catalysts For Electrocatalytic Reduction Of Nitrogen And Nitrate Waste, Siming Huo

Dissertations

Ammonia (NH₃) is one of the most important chemicals to the whole human society. The invention of the Haber-Bosch process enabled the industrial production of NH₃. However, owing to the high capital costs of the centralized plant and the equipment and the negative environmental impact, it is no longer suitable for today's needs of human development. As a result, there is an urgent need to investigate sustainable approaches for ammonia production. Among those reported studies, nitrogen reduction (NRR) and nitrate reduction reaction (NO₃RR) are considered applicable in the future. However, after decades of studying …

Importance Of Vegetation In Tsunami Mitigation: Evidence From Large Eddy Simulations With Fluid-Structure Interactions, Abhishek Mukherjee

Dissertations

Communities worldwide are increasingly interested in nature-based solutions like coastal forests for the mitigation of coastal risks. Still, it remains unclear how much protective benefit vegetation provides, particularly in the limit of highly energetic flows after tsunami impact. The present thesis, using a three-dimensional incompressible computational fluid dynamics model with a fluid-structure interaction approach, aims to quantify how energy reflection and dissipation vary with different degrees of rigidity and vegetation density of a coastal forest.

In this study, tree trunks are represented as cylinders, and the elastic modulus of hardwood trees such as pine or oak is used to characterize …

Influence Of Material Properties On Granules Prepared By Dry Co-Rotating Twin Screw Extrusion And Counterrotating Batch Mixing, Afstathios Steve Pafiakis

Dissertations

Recently, the pharmaceutical industry has shown interest in continuous granulating technology because of the flexibility it offers as an option that bypasses the costly scale-up process associated with batch manufacturing. However, the granulation mechanism(s) using twin screw co-rotating hot melt extrusion (HME) has not been fully explored, and it is not yet well understood. This leads to costly experiments during development and process reliability problem in commercial manufacturing. The main objective of this dissertation is to increase the mechanistic understanding of the twin screw granulation process of systems containing an active pharmaceutical ingredient (API) and a polymer excipient. This is …

Pbm And Dem Simulations Of Large-Scale Closed-Circuit Continuous Ball Mill Of Cement Clinker, Nontawat Muanpaopong

Dissertations

Cement milling is known to be inefficient and energy-intensive. Thus, even small improvements in cement milling's performance could significantly reduce operation costs. This dissertation aims to develop a simulation tool for dry milling and generate a fundamental process understanding, which enables process optimization. To this end, a true unsteady-state simulator (TUSSIM) for continuous dry milling is developed and applied to model various processes: (a) open circuit continuous mills, (b) closed-circuit continuous mills, and (c) vertical roller mills. TUSSIM is based on the solution of the cell-based population balance model (PBM) for continuous milling, which consists of a set of differential …

Development Of Non-Viral Nano-Carriers For Gene Delivery And Covid-19 Vaccines, Zhongyu Li

Dissertations

Gene therapy is one of the most promising medical fields with the potential to effectively advance the treatment of difficult diseases by producing therapeutic proteins or repairing defective gene sequences. However, gene therapy presents severe challenges in delivery including renal clearance, phagocytosis, enzymatic degradation, protein absorption, and cellular internalization barriers, which have been barriers for translation into the clinic. Naked nucleic acids, with their intrinsic negative charge, electrostatically repulse the anionic cell membrane, preventing cellular uptake. Also, they are considered foreign genetic material when introduced into the body and are rapidly cleared by the reticuloendothelial system or degraded by nucleases, …

Development Of Novel Nanocarbon Based Materials And Membranes With Enhanced Biocidal Capabilities For Clean Water Generation, Indrani Gupta

Dissertations

Water scarcity is one of the major challenges facing humanity today, driven by population growth, economic development, and dietary shifts towards more water-intensive animal products. To address this issue, efficient water resource management and recycling of wastewater are essential. However, around 80% of wastewater globally is discharged into water bodies without treatment, posing a risk to ecosystems and human health. Pathogens, or harmful microorganisms, are a primary cause of water impairment and the transmission of waterborne diseases, leading to increased mortality rates. Traditional methods of treating pathogens involve the use of radiation or chemical disinfectants. Nonetheless, these methods have drawbacks, …

Neutrosophic Mcdm Methodology For Risk Assessment Of Autonomous Underwater Vehicles, Shimaa S. Mohamed, Ahmed Abdel-Monem, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

Due to its usefulness in several industries and the military, researchers have concentrated on developing autonomous underwater vehicles (AUVs). However, AUV navigation continues to be a difficult challenge to solve owing to the variety of underwater settings. The usage of AUVs, or autonomous underwater vehicles, is not without dangers like malfunction, ecological risks, loss of communications, cybersecurity risks, collisions, and others. There are many criteria to assess these risks technical, operational, economic, and regulatory. So, the methods of multi-criteria decision-making (MCDM) is used to deal with these various criteria. The analytical hierarchy process (AHP) method is an MCDM methodology, that …

Compact Wideband Circularly-Polarised Slot Antenna For Ambient Rf Energy Harvesting, Khatereh Nadali, Jakub Przepiorowski, Neeraj Kumar Maurya, Patrick Mcevoy, Max Ammann

Conference papers

A dual-port dual-sense wideband circularly- polarised (CP) printed slot antenna is proposed. The compact coplanar waveguide (CPW)-fed antenna is proposed for ambient energy harvesting applications. Two identical CPW feeds excite ±45° fan-shaped stubs in the elliptical slot, providing a wide bandwidth. By separating the ground plane and slot by two narrow strips, an isolation better than 19.4 dB between the ports is achieved. The measured impedance bandwidth is 850 MHz (2.08 GHz to 2.93 GHz) and the 3dB axial-ratio bandwidth is 870 MHz (2.04 GHz to 2.91 GHz).

Exploring Senior Chemical Engineering Students’ Approach To Process Safety Decision Making, Jeffrey Saunders Stransky

Theses and Dissertations

Despite investments in chemical process safety education, evidence suggests that engineers’ decision making may contribute to process safety incidents. Currently, limited educational endeavors in process safety decision making exist, raising the need for a better understanding of how to prepare chemical engineering students for industry decisions. This dissertation fortifies current process safety education through three studies involving senior chemical engineering students. Study One developed the Engineering Process Safety Research Instrument (EPSRI) through exploratory and confirmatory factor analyses. Educators may use the EPSRI to evaluate their students’ moral development. Study Two evaluated a digital process safety game, Contents Under Pressure, on …

Estimating The Impact Of Intersection Traffic On Air Quality Emissions At Camden Cooper Medical Health Intersection Through The Integration Of Vissim/Moves Models, Kourtney Nicole Arena

Theses and Dissertations

Traffic emissions near intersections can increase significantly due to idling as well as stop-and-go traffic conditions. Increased emissions of pollutants like particulate matter (PM), nitrogen oxides (NOx), carbon monoxide (CO), and polycyclic aromatic hydrocarbons (PAHs) found in traffic exhaust deteriorate the health of the population that is exposed to them. Since general traffic emissions are increased by the stop-and-go conditions produced at intersections, PAH traffic emissions should also increase from intersection driving conditions. The intersection of Dr. Martin Luther King Jr. Blvd and Haddon Ave in Camden, NJ was identified as an ideal site to study PAH traffic emissions. To …

Inventory, Operations, And Safety At Free Right-Turn Ramps, Aemal Khattak, Jonathon Camezind, Mm Shakui Haque

Nebraska Department of Transportation: Research Reports

This research focused on traffic safety and operational performance of rural, minor approach stop-controlled intersections with free right-turn (FRT) ramps. The objectives of the research were to:

• Create a statewide inventory of rural FRT ramp intersections and provide to the Nebraska Department of Transportation (NDOT),
• Using NDOT 10-year crash data, conduct statistical safety analysis of rural FRT intersections extending ¼-mile in each direction from the intersection,
• Study vehicular operations at rural intersections with and without FRT ramps including a comparison of vehicular conflicts, and
• Develop guidelines for operations and safety tradeoffs to assist with NDOT projects on maintaining similar locations, …

Nebraska Balanced Mix Design – Phase I, Farzad Yazdipanah, Mahdieh Khedmati, Hamzeh Haghshenas

Nebraska Department of Transportation: Research Reports

Balanced mix design (BMD) is an alternative concept for designing asphalt mixtures that mainly focuses on performance of mixtures rather than only volumetric analysis. Using this concept, it would be possible to account for the incorporation of recycled asphalt mixtures, warm technology, polymers, rejuvenators, and other foreign additives, as well as external effective factors on the mix design such as environmental effects. This project sought to investigate performance-based methodologies for the asphalt mix design by taking a step to develop a preliminary Nebraska BMD framework. With that, selection of appropriate performance tests, finding a functional laboratory aging protocol, and defining …

Molecular Simulations Of Mechanical Effects Of Adsorption In Gas And Liquid Phases, Alina Emelianova

Dissertations

Fluids adsorbing in nanoporous solids cause high pressures that affect the solids and the properties of the fluids themselves. This work explores the mechanical response of solids to the adsorption of gas and liquid. Chapter 1 outlines the current achievements in investigating the mechanical response of adsorbents to the adsorption process, specifically, the computational approaches to predict adsorption-induced deformation. Chapter 2 introduces the theoretical and computational methods employed in this work. Chapters 3-7 address the design and application of the computational techniques for such prediction in different systems: mesoporous silica, microporous zeolites, and metal-organic frameworks, and Chapter 8 focuses on …

Out-Of-Plane Flexural Behavior Of Insulatedwall Panels Constructed With Large Insulation Thicknesses, Jacob Luebke, Fray F. Pozo-Lora, Salam Al-Rubaye, Marc Maguire

Durham School of Architectural Engineering and Construction: Faculty Publications

Insulated concrete sandwich wall panels (ICSWPs) are gaining popularity as energy regulations become stricter worldwide. ICSWPs are now being constructed with thinner wythes and thicker insulation to keep up with the changing market, which is reducing material costs and increasing thermal and structural efficiency. However, there is a need for adequate experimental testing to validate the current design methods for these new panels. This research aims to provide that validation by comparing the predictions of four different methods with experimental data obtained from six large-scale panels. The study found that while current design methods adequately predict the behavior of thin …

Characterization Of Low Power Hfo2 Based Switching Devices For In-Memory Computing, Aseel Zeinati

Theses

Oxide based Resistive Random Access Memory (RRAM) devices are investigated as one of the promising non-volatile memories to be used for in-memory computing that will replace the classical von Neumann architecture and reduce the power consumption. These applications required multilevel cell (MLC) characteristics that can be achieved in RRAM devices. One of the methods to achieve this analog switching behavior is by performing an optimized electrical pulse. The RRAM device structure is basically an insulator between two metals as metal-insulator-metal (MIM) structure. Where one of the primary challenges is to assign an RRAM stack with both low power consumption and …

The Optimization Of Ɣ-Al2o3 Production From Aluminium Foil Waste By Precipitation, Nessren Farrag, Yousef Amin

Chemical Engineering

The objective of this work encompasses the application of aluminium foil waste for preparing alumina (Al2O3), by precipitation. The response surface approach is developed for the produced ɣ-Al2O3 phase. Experiments were performed according to a 32 factorial design to evaluate the effects of hydrochloric acid (HCl) concentration, sodium hydroxide (NaOH) that was used as precipitation agent, as well as the calcination temperatures on the purity and yield. The effect of the two independent variables on the response variables was studied by response surface plots and contour plots generated by the Design-Expert software. The desirability function was used to optimize the …

Engineering A Multicompartment In Vitro Model For Dorsal Root Ganglia Phenotypic Assessment, Sydney M. Caparaso, Adan Redwine, Rebecca A. Wachs

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Despite the significant global prevalence of chronic pain, current methods to identify pain therapeutics often fail translation to the clinic. Phenotypic screening platforms rely on modeling and assessing key pathologies relevant to chronic pain, improving predictive capability. Patients with chronic pain often present with sensitization of primary sensory neurons (that extend from dorsal root ganglia [DRG]). During neuronal sensitization, painful nociceptors display lowered stimulation thresholds. To model neuronal excitability, it is necessary to maintain three key anatomical features of DRGs to have a physiologically relevant platform: (1) isolation between DRG cell bodies and neurons, (2) 3D platform to preserve cell–cell …

Neutrosophic Mcdm Methodology For Risk Assessment Of Autonomous Underwater Vehicles, Shimaa S. Mohamed, Ahmed Abdel-Monem, Alshaimaa A. Tantawy

Neutrosophic Systems with Applications

Due to its usefulness in several industries and the military, researchers have concentrated on developing autonomous underwater vehicles (AUVs). However, AUV navigation continues to be a difficult challenge to solve owing to the variety of underwater settings. The usage of AUVs, or autonomous underwater vehicles, is not without dangers like malfunction, ecological risks, loss of communications, cybersecurity risks, collisions, and others. There are many criteria to assess these risks technical, operational, economic, and regulatory. So, the methods of multi-criteria decision-making (MCDM) is used to deal with these various criteria. The analytical hierarchy process (AHP) method is an MCDM methodology, that …

Mathematical And Machine Learning Approaches For Classification Of Protein Secondary Structure Elements From Cα Coordinates, Ali Sekmen, Kamal Al Nasr, Bahadir Bilgin, Ahmet Bugra Koku, Christopher Jones

Computer Science Faculty Research

Determining Secondary Structure Elements (SSEs) for any protein is crucial as an intermediate step for experimental tertiary structure determination. SSEs are identified using popular tools such as DSSP and STRIDE. These tools use atomic information to locate hydrogen bonds to identify SSEs. When some spatial atomic details are missing, locating SSEs becomes a hinder. To address the problem, when some atomic information is missing, three approaches for classifying SSE types using Ca atoms in protein chains were developed: (1) a mathematical approach, (2) a deep learning approach, and (3) an ensemble of five machine learning models. The proposed methods were …

Using An Embedded System For A Quality Cup Of Coffee, Evan Powers, Joshua Stermer, Tsion Yohannes

2023 Symposium

Many coffee lovers spend up to $5 on a cup of coffee everyday. To save money one could make them at home, but a quality machine with PIDs start at $1000. Using an embedded system one could spend less than $50 and a few hours implement PIDs into an existing $400 machine that will last a lifetime. microcontroller. Learning C language combined with hardware implementation applied to cheap and simple everyday objects can improve everyday quality of life and save money.

This is challenging because we have to incorporate the additional circuitry into a pre established circuit with limited space, …

The Influence Of Environmental Tax And Technology On Different Air Pollution Emissions In Oecd Countries, Malak Ali Assaf

BAU Journal - Creative Sustainable Development

Although countries continuously employ taxation and technological measures to control air pollution in the Organization for Economic Co-operation and Development, the results of these practices should be evaluated to determine whether they reach their intended outcomes. This study used panel autoregressive distributed lag model to establish how environmental taxes and technology affects the emission of air pollutants (nitrogen oxides, Carbon dioxide, and particulate matter 2.5). Using secondary data present in the OECD Database and The World Bank, EViews panel was derived to create 3 model in which each of the three variables would be sufficiently explained by environmental tax, abatement …

Evidence On The Impact Of Corruption On Economic Growth: A Systematic Literature Review, Nour Mohamad Fayad

BAU Journal - Creative Sustainable Development

The relationship between corruption and economic growth is complex and has been extensively studied. Till recent days it is still one of the most genuine political challenges that all countries face. Even though anti-corruption measures have improved, they still lack consistency and clarity. Accordingly, this paper reviews the extant literature on this issue, by examining 66 research papers on the impact of corruption on economic growth. The study was aided by analysis of the theme Corruption and economic growth identified in the present literature. Impact of Corruption on economic growth has been tested in multiple studies utilizing time series, panel, …