Engineering Commons^™

Lung Lesion Segmentation Using Deep Learning Approaches, Sree Snigdha Tummala

Electronic Theses, Projects, and Dissertations

The amount of data generated in the medical imaging field, especially in a modern context, is growing significantly. As the amount of data grows, it's prudent to make use of automated techniques that can leverage datasets to solve problems that are error-prone or have inconsistent solutions.

Deep learning approaches have gained traction in medical imaging tasks due to their superior performance with larger datasets and ability to discern the intricate features of 3D volumes, a task inefficient if done manually. Specifically for the task of lung nodule segmentation, several different methods have been tried before such as region growing etc. …

Classification Of Thorax Diseases From Chest X-Ray Images, Sharad Jayusukhbhai Dobariya

Electronic Theses, Projects, and Dissertations

Chest X-ray images are crucial for medical decisions and patient care. However, their manual interpretation is time-consuming and prone to human error. This project aims to create an automated system that uses deep learning techniques to classify thorax disease from chest X-ray images. We are using the NIH Chest X-Ray Dataset, which contains many annotated images, as input data for this project. This approach uses UNet architecture as its classification layer. UNet architecture is well-known for its efficiency in image segmentation. Adding residual blocks enhances this approach's ability to classify images. The goal of this project is to create a …

Machine Learning For Kalman Filter Tuning Prediction In Gps/Ins Trajectory Estimation, Peter Wright

Electronic Theses, Projects, and Dissertations

This project is an exploration and implementation of an application using Machine Learning (ML) and Artificial Intelligence (AI) techniques which would be capable of automatically tuning Kalman-Filter parameters used in post-flight trajectory estimation software at Edwards Air Force Base (EAFB), CA. The scope of the work in this paper is to design and develop a skeleton application with modular design, where various AI/ML modules could be developed to plug-in to the application for tuning-switch prediction.

Building An Application Model For Efficient Ride Booking In Ride-Hailing Industry, Nikunjkumar Butani

Electronic Theses, Projects, and Dissertations

The purpose of this study is to develop an efficient ride booking application in the ride-hailing sector. The objective of the research is to provide users with an easy way to book rides at reasonable prices and convenient times. This project helps to promote the ride-hailing industry by providing guidance for the creation of real-time applications. This project answered three questions. 1. What are the technology and infrastructure requirements for developing a consolidated online application for centralized ride sharing? 2. What are other examples of application aggregators in other industries than transportation and how do they work? 3. What are …

Evaluating Differences In Optical Properties Of Indolent And Aggressive Murine Breast Tumors Using Quantitative Diffuse Reflectance Spectroscopy, Joel Rodriguez Troncoso, Umme Marium Mim, Jesse D. Ivers, Santosh K. Paidi, Mason G. Harper, Khue G. Nguyen, Sruthi Ravindranathan, Lisa Rebello, David E. Lee, David A. Zaharoff, Ishan Barman, Narasimhan Rajaram

Biomedical Engineering Faculty Publications and Presentations

We used diffuse reflectance spectroscopy to quantify tissue absorption and scattering-based parameters in similarly sized tumors derived from a panel of four isogenic murine breast cancer cell lines (4T1, 4T07, 168FARN, 67NR) that are each capable of accomplishing different steps of the invasion-metastasis cascade. We found lower tissue scattering, increased hemoglobin concentration, and lower vascular oxygenation in indolent 67NR tumors incapable of metastasis compared with aggressive 4T1 tumors capable of metastasis. Supervised learning statistical approaches were able to accurately differentiate between tumor groups and classify tumors according to their ability to accomplish each step of the invasion-metastasis cascade. We investigated …

Additive Manufacturing Of Microelectronic Devices For Extreme Environments, Nicholas Mckibben

Boise State University Theses and Dissertations

This work encompasses a comprehensive exploration of advanced manufacturing techniques for fabricating microelectronic devices compatible with extreme environments. The research integrates the fields of chemistry, nanomaterials, and additive manufacturing to achieve remarkable progress in sensor development, with a particular emphasis on aerosol jet printing (AJP), surface acoustic wave (SAW) devices, patterned graphene growth, and surface functionalization. The investigation begins with the AJP process development of a commercial silver nanoparticle ink, culminating in the fabrication of a piezoelectric SAW transducer that was prototyped as a high-temperature thermometer, showing excellent linearity when validated to 200°C. Next, the investigation continued with the development …

A New Approach To Predicting Vertical Permeability For Carbonate Rocks In The Southern Mesopotamian Basin, Emad A. Al-Khdheeawi, Raed H. Allawi, Wisam I. Al-Rubaye, Stefan Iglauer

Research outputs 2022 to 2026

Reservoir performance depends on many factors, and the most important one is permeability anisotropy. In addition, with high heterogeneity, it is essential to find unique relationships to predict permeability. Therefore, this study aims to predict vertical permeability based on horizontal permeability and porosity and to find new equations for carbonate reservoirs. This work relied on the 398 measured points of cores data collected from several wells in carbonate reservoirs. A new correlation for predicting vertical permeability for the whole data (369 samples) as a function of horizontal permeability and porosity has been developed. The results indicate that this new correlation …

Time Reduction For Slm Ofdm Papr Based On Adaptive Genetic Algorithm In 5g Iot Networks, Esam A. A. Hagras, Sameh F. Desouky, Saad Aldosary, Haitham Khaled, Tarek M. Hassan

Research outputs 2022 to 2026

In this paper, a new peak average power and time reduction (PAPTR) based on the adaptive genetic algorithm (AGA) strategy is used in order to improve both the time reduction and PAPR value reduction for the SLM OFDM and the conventional genetic algorithm (GA) SLM-OFDM. The simulation results demonstrate that the recommended AGA technique reduces PAPR by about 3.87 dB in comparison to SLM-OFDM. Comparing the suggested AGA SLM-OFDM to the traditional GA SLM-OFDM using the same settings, a significant learning time reduction of roughly 95.56% is achieved. The PAPR of the proposed AGA SLM-OFDM is enhanced by around 3.87 …

Capillary-Sealing Efficiency Of Mica-Proxy Caprock For Co2/H2 Geologic Storage In The Presence Of Organic Acids And Nanofluids, Amer Alanazi, Muhammad Ali, Mahmoud Mowafi, Saleh Bawazeer, Ziyad K K. Kaidar, Hussein Hoteit

Research outputs 2022 to 2026

Toward a diversified low-carbon future, the geological storage of carbon dioxide (CO2) and hydrogen (H2) is regarded as a key enabler for an industrial-scale implementation. However, many geological formations, such as depleted oil and gas reservoirs, can contain inherent traces of organic molecules that dramatically affect their storage capacities and caprock sealing efficiency. Hence, using the right analysis to accurately determine the caprock sealing efficiency and storage capacity in the presence of organics is crucial for a secure and safe storage process. This study analyzed the sealing potential of a proxy caprock (mica) by calculating the capillary entry pressure and …

On The Effect Of Emotion Identification From Limited Translated Text Samples Using Computational Intelligence, Madiha Tahir, Zahid Halim, Muhmmad Waqas, Shanshan Tu

Research outputs 2022 to 2026

Emotion identification from text data has recently gained focus of the research community. This has multiple utilities in an assortment of domains. Many times, the original text is written in a different language and the end-user translates it to her native language using online utilities. Therefore, this paper presents a framework to detect emotions on translated text data in four different languages. The source language is English, whereas the four target languages include Chinese, French, German, and Spanish. Computational intelligence (CI) techniques are applied to extract features, dimensionality reduction, and classification of data into five basic classes of emotions. Results …

Extremum Seeking Control Algorithms For Extremely High Frequency Antenna System Pointing, Scott Shore

Mechanical Engineering ETDs

The research examines the application of extremum seeking control (ESC) algorithms to ground station antenna pointing for extremely high frequency (EHF) communication systems. ESC algorithms search for local maxima or minima by locating where an objective function gradient goes to zero. With wireless communication expanding into higher frequencies, the ground station pointing requirement is increasing. ESC presents a method which utilizes available equipment and information to perform ground station pointing. Additionally, ESC algorithms do not rely on assumptions or approximations needed for other techniques. The dissertation demonstrates ESC algorithm feasibility for the ground station pointing problem, benchmarks the ESC algorithms …

Nutritional-Environmental Trade-Offs In Potato Storage And Processing For A Sustainable Healthy Diet, Aubin Payne, Ebenezer M. Kwofie, Prince Agyemang, Jamie Baum

Biological and Agricultural Engineering Faculty Publications and Presentations

Over the last decade, poor diets and limited access to nutritious foods have been critical drivers of micronutrient deficiency in human health. However, food fortification at an industrialized scale in developed countries has helped eliminate deficiency-related diseases. In developing countries, fortified foods and biofortified materials have been delivered to nutrient-deficient communities. While these strategies have produced significant and acclaimed results, reports from the Food and Agricultural Organization suggest that over a quarter of the world’s population suffers from micronutrient deficiency. This implies that there are still declines in micronutrients in food products at different nodes along the food value chain …

Representativeness Evaluation Of Delta-Flux Eddy Covariance Towers For Assessing Greenhouse Gas Emissions From Rice Fields In The Mid-South Region, Katherine Skiles

Biological and Agricultural Engineering Undergraduate Honors Theses

Rice grown in 5 states across the Mid-South (AR, LA, MS, TX, and MO) account for nearly 80% of all domestic U.S. rice production. Methane emissions produced during rice farming and the large seasonal water demand to maintain flooded fields have created a need for alternative irrigation research that can reduce methane emissions and conserve water. Structures called eddy covariance towers (ECTs) can observe methane and other flux responses to changing irrigation styles, and their data is shared across flux tower networks such as Delta-Flux in the Mid-South. The Delta-Flux network is relatively new, and its data-sharing capacity is not …

Examining The Benefits Of Using Rainfall To Supplement Alternate Wetting And Drying Irrigation In Zero-Grade Rice Fields In Central Arkansas, Leo Black

Biological and Agricultural Engineering Undergraduate Honors Theses

Arkansas farmers account for more than 50% of United States production of rice, a crop that requires 3 to 5 times as much water as other regional crops. Methods of reducing water use and increasing its efficiency are being explored throughout the rice production industry, including irrigation management, better land grading, and precipitation capture. This project investigates the combination of these methods. The objectives of this project were to assess field-level water inputs, identify relationships between rice growth and water input, and analyze weather patterns in zero-grade fields in central Arkansas. Subsequent results were used to determine if there is …

Data-Driven Multiscale Modeling Of Dye Aggregates In Dna For Excitonic Applications, Austin Biaggne

Boise State University Theses and Dissertations

In this dissertation, a data-driven, multi-scale approach was implemented to study the structural, electronic, and dynamical behavior of dye monomers and aggregates for excitonic applications. The excitonic behavior of dye aggregates depends on both the constituent monomer properties as well as the relative dye orientations that make up the aggregate. Dye monomer properties can be augmented with substituents, but with a wide range of substituent types, ideal dye derivatives should be identified. To control the aggregation of dyes, DNA can be used as a scaffold, however, the ways in which dyes interact with each other and with DNA is not …

Investigating Combined Extreme Weather Effects On Solar Module Through Hardware And Simulink Performance Evaluation, Amir Botros

Boise State University Theses and Dissertations

Worldwide adoption of photovoltaic (PV) cells, which use the photovoltaic effect to convert solar energy into electricity, has led to their emergence as a significant source of electricity production. As the number of PV installations continues to grow, understanding the impact of environmental factors on solar module performance becomes paramount.

Factors such as intermittency, cloud cover, shading, and nighttime unavailability significantly affect the efficiency and longevity of solar modules. However, there is a shortage of research connecting extreme weather conditions to overall module performance, hindering informed implementation decisions.

This study addresses the need for continuous monitoring of solar systems under …

The Effects Of Restaurant Drive-Through Vehicle Mobile Emissions On Air Quality, Tryston Nychol Sellers Calder

Boise State University Theses and Dissertations

Studies and regulations on vehicles have become more prominent as concerns continue to rise over mobile emissions. Most recognizable is the U.S. EPA Near-Road monitoring network that began in 2010. The focus of most air quality studies has been vehicular traffic on freeways. However, drive-through sales skyrocketed in 2020 because they were the only way for restaurants to stay in busy during the pandemic. Drive throughs have continued to remain pivotal in fast food restaurant sales accounting for majority of sales. This demand has brought upon the question of how much drive-throughs contribute to mobile emissions, specifically in the form …

Investigating The Influence Of Surface Finishing Methods On Corrosion Of Additively Manufactured Ss316l, Joshua R. Fadeley

Boise State University Theses and Dissertations

Additive Manufacturing (AM), namely with metal, has seen a surge in growth and interest over recent years. A wide array of industries is developing new products to take advantage of this budding technology. In order to enable adoption of this technology, understanding of the differences of AM versus traditional manufacturing on the resultant materials properties of printed components is important. The work done for this study fell into two separate categories of work.

The first effort of this work involved the installation, certification, and operation of the first laser powder bed fusion (LPBF) printer at the Center for Advanced Energy …

Novel Sensors And Measurement Techniques For Thermal Properties In Extreme Environments, Katelyn Wada

Boise State University Theses and Dissertations

Advancements in thermal properties analysis is crucial for improvement of existing and next generation reactors, space exploration, and environmental safety. Extreme environments pose a great hurdle for instrumentation to measure real time thermal properties due to the extreme temperatures, high radiation, and variable electromagnetic environments. Nevertheless, measurement systems are tremendously important for the design, P.E.rformance, and safety considerations of nuclear fuels, space crafts, and deep sea/deep earth drilling. Thermal properties may change significantly in these environments creating challenging problems for temperature and thermal conductivity measurement systems. A recent focus has surrounded improvements in such systems for accurate determination of temperature …

A Comprehensive Review On Shale Studies With Emphasis On Nuclear Magnetic Resonance (Nmr) Technique, Yujie Yuan, Reza Rezaee, Mei-Fu Zhou, Stefan Iglauer

Research outputs 2022 to 2026

Multi-scale shale studies put a significant emphasis on high-resolution investigations from nanometer to decametre scales. Despite that multiple advanced techniques have been used in shale studies, they are mostly limited to the detection scopes and have restricted capacity for high-resolution characterization of shale nanopores with substantial heterogeneity. Therefore, it remains a challenge for accurate resource estimation in unconventional shales. The nuclear magnetic resonance (NMR) is an advanced technique enabling non-destructive and fast measurements, and has the advantage of high-resolution evaluation of shale formations and nanopore structure. Petrophysical studies using NMR have made breakthroughs in shale studies. However, multi-scale shale investigations …

Fatigue Behaviour Of Load-Bearing Polymeric Bone Scaffolds: A Review, Hamed Bakhtiari, Alireza Nouri, Mehrdad Khakbiz, Majid Tolouei-Rad

Research outputs 2022 to 2026

Bone scaffolds play a crucial role in bone tissue engineering by providing mechanical support for the growth of new tissue while enduring static and fatigue loads. Although polymers possess favourable characteristics such as adjustable degradation rate, tissue-compatible stiffness, ease of fabrication, and low toxicity, their relatively low mechanical strength has limited their use in load-bearing applications. While numerous studies have focused on assessing the static strength of polymeric scaffolds, little research has been conducted on their fatigue properties. The current review presents a comprehensive study on the fatigue behaviour of polymeric bone scaffolds. The fatigue failure in polymeric scaffolds is …

Wastewater Treatment Plants: The Missing Link In Global One-Health Surveillance And Management Of Antibiotic Resistance, Abdolmajid Gholizadeh, Mehdi Khiadani, Maryam Foroughi, Hadi Alizade Siuki, Hadi Mehrfar

Research outputs 2022 to 2026

Introduction: As a global public health crisis, antibiotic resistance (AR) should be monitored and managed under the One-Health concept according to the World Health Organization (WHO), considering the interconnection between humans, animals, and the environment. But this approach often remains focused on human health and rarely on the environment and its compartments, especially wastewater as the main AR receptor. Wastewater treatment plants (WWTPs) not only are not designed for reliving AR but also provide appropriate conditions for enhancing AR through different mechanisms. Methods: By reviewing the research-based statistics on the inclusion of WWTPs in the One-Health/AR program crisis, this paper …

An Improved Genetic Algorithm Based Fractional Open Circuit Voltage Mppt For Solar Pv Systems, Aakash Hassan, Octavian Bass, Mohammad A. S. Masoum

Research outputs 2022 to 2026

To extract the maximum power from solar PV, maximum power point tracking (MPPT) controllers are needed to operate the PV arrays at their maximum power point under varying environmental conditions. Fractional Open Circuit Voltage (FOCV) is a simple, cost-effective, and easy to implement MPPT technique. However, it suffers from the discontinuous power supply and low tracking efficiency. To overcome these drawbacks, a new hybrid MPPT technique based on the Genetic Algorithm (GA) and FOCV is proposed. The proposed technique is based on a single decision variable, reducing the complexity and convergence time of the algorithm. MATLAB/Simulink is used to test …

Residual Trapping Of Co2, N2, And A Co2-N2 Mixture In Indiana Limestone Using Robust Nmr Coreflooding: Implications For Co2 Geological Storage, Amer Alanazi, Auby Baban, Muhammad Ali, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit

Research outputs 2022 to 2026

Carbon capture and sequestration (CCS) in geological formations is a prominent solution for reducing anthropogenic carbon emissions and mitigating climate change. The capillary trapping of CO2 is a primary trapping mechanism governed by the pressure difference between the wetting and nonwetting phases in a porous rock, making the latter a key input parameter for dynamic simulation models. During the CCS operational process, however, the CO2 is prone to contamination by impurities from various sources such as surfaces (e.g., pipelines and tanks) and the subsurface (e.g., existing natural gas). Such contamination can strongly influence the overall CO2 wettability, storage capacity, and …

Small Scale Desalination Technologies: A Comprehensive Review, Hamed Kariman, Abdellah Shafieian, Mehdi Khiadani

Research outputs 2022 to 2026

In recent decades, problems related to fresh water has become a very important issue for humans. Small-scale desalination (SSD) systems, besides large-scale desalination (LSD) systems, fulfil an important role in meeting freshwater demand by eliminating the cost of transmission and have the advantage of treating water on-site. In this study, for the first time, a comprehensive review of previous studies has been carried out on SSD systems (less than 25 m3/d water production). These systems are powered using renewable, non-renewable or hybrid sources of energy, incorporating different treatment technologies such as: reverse osmosis (RO); electro dialysis (ED); capacitive deionization (CDI); …

Thermo-Hydraulic Performance Evaluation Of A Naca 63-015 Heat Exchanger With Shark Denticles As Surface Textures, Aakash S. Hurry, Kevin Hayward, Ferdinando Guzzomi, Kanishk Rauthan, Ana Vafadar

Research outputs 2022 to 2026

In this study, the effect of using bio-inspired surface texturing as a technique to further enhance the efficiency of a single Plate Fin Heat Exchanger (PFHX) was investigated experimentally. By using biomimicry across disciplines, the denticle, which is a body adaptation from shark skin for enhanced hydrodynamics, was identified as a surface texture to be used on the fin of a PFHX. A smooth NACA 63-015 PFHX (HX0) was used as baseline for thermo-hydraulic performance comparisons. Initially, three PFHXs (HX1, HX2 and HX3), consisting of arrays of denticles upscaled to different scale factors, were designed and printed in ABS plastic …

Understanding Social Vulnerability To Natural Hazards Through Machine Learning And Dynamic Spatiotemporal Analysis, Donglei Wang

Boise State University Theses and Dissertations

Natural hazards pose significant threats to communities, impacting livelihoods and property. Socially vulnerable communities are disproportionately affected by these hazards, highlighting the importance of considering social vulnerability in hazard risk assessment. Research on multi-hazards risk assessment, and social vulnerability can provide a comprehensive understanding of hazards and local vulnerability to support the reduction of disaster suffering overall. This thesis presents a comprehensive study conducted in Idaho, US, to examine the regional multi-hazards risk and assess the progression of social vulnerability metrics in wildfire-affected areas in a case study.

The first part of the research proposes a multi-hazards risk assessment methodology …

Av Operation And Energy Efficiency Improved Through The Evaluation And Demonstration Of Av Sensor Technology, Nicholas Brown

Dissertations

The majority of states have passed legislation or have signed an executive order enacting safe testing, development, and deployment of level 4 and level 5 autonomous vehicles (AVs) in accordance with SAE standard J3016, which has led to an increase in the frequency of AV testing. The major driving force behind the push for AVs on public roads appears to be the increases the number of AVs on the road to decrease the chances of fatalities from distracted drivers. There are reports of disengagement from companies, which are required to report them to operate within California. The continuance of disengagements …

A Multi-Objective Stochastic Programming Model For Resilient And Sustainable Supply Chains Under Uncertainty, Mohammad H. Majdfaghihi

Dissertations

Supply chain resilience (SCRES) and sustainable supply chain management (SSCM) have garnered significant attention in the field of Supply Chain Management (SCM) science. This heightened interest is largely attributable to the increasing frequency and severity of uncertainty and disruptions in global supply chains. Resilience is a beneficial approach to managing uncertainties and preparing for and mitigating the adverse consequences of Supply Chain (SC) disruptions. Sustainability is a key concept in SCM, driven by governmental regulations and heightened stakeholder and customer concerns for environmental and societal well-being. Studies on SCRES have traditionally focused on preparing for and reacting to disruptions and …

Sustainable Diamond-Like Carbon Fabricated Gravure Cylinders For Printing Fine Lines Of Electrodes And Graphic Structures, Chandramohan Seetharamiah Srinivasaraju

Dissertations

The main objective of this work is to evaluate the potential of Diamond-Like Carbon (DLC) as an alternative to chrome for use on gravure cylinders. DLC coatings consist of carbon atoms, arranged into a diamond-like structure that closely resembles that of natural diamond. In contrast to chrome, DLC is environmentally friendly. The focus of the study is to determine the viability of DLC as a substitute material for chrome to be used on gravure cylinders by determining key material properties and evaluating printing performance.

In the first research paper, four DLC variants (Standard DLC, A-DLC, S-DLC, and Organic Silica) and …