Engineering Commons^™

Design, Fabrication, And Determination Of The Optimum Working Conditions Of A Peanut (Arachis Hypogaea L.) Pneumatic Bagging System, Selcuk Ugurluay, Ali Somay

The Philippine Agricultural Scientist

The peanut bagging process is not mechanized, it requires a large amount of human labor. In addition, the shovel or canister used in bagging breaks the peanut shell that causes losses. The purpose of this study is to reduce the required workforce by mechanizing the peanut bagging process, and to determine the optimum working criteria (hose diameter and air velocity) of the prototype machine. A peanut pneumatic bagging machine powered by a tractor power takeoff (PTO) was designed and fabricated to convey peanut pods from the ground and fill the product into the bags. To determine the optimum working conditions …

Distributed Solar Generation: Current Knowledge And Future Trends, Gasser G. Ali, Islam H. El-Adaway

Civil Engineering Faculty Publications

Distributed solar generation (DSG) has been growing over the previous years because of its numerous advantages of being sustainable, flexible, reliable, and increasingly affordable. DSG is a broad and multidisciplinary research field because it relates to various fields in engineering, social sciences, economics, public policy, and others. Developing a holistic understanding of the state of research related to DSG can be difficult. Motivated to provide that understanding, the goal of this paper is to explore current and emerging multidisciplinary research trends associated with DSG. To achieve that, (1) a large data set of approximately 66,000 publications was collected; (2) the …

Inverting Geodetic Strain Rates For Slip Deficit Rate In Complex Deforming Zones: An Application To The New Zealand Plate Boundary, Kaj M. Johnson, Laura M. Wallace, Jeremy Maurer, Ian Hamling, Charles Williams, Chris Rollins, Matt Gerstenberger, Russ Van Dissen

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The potential for future earthquakes on faults is often inferred from inversions of geodetically derived surface velocities for locking on faults using kinematic models such as block models. This can be challenging in complex deforming zones with many closely spaced faults or where deformation is not readily described with block motions. Furthermore, surface strain rates are more directly related to coupling on faults than surface velocities. We present a methodology for estimating slip deficit rate directly from strain rate and apply it to New Zealand for the purpose of incorporating geodetic data in the 2022 revision of the New Zealand …

A Priori Procedure To Establish Spinodal Decomposition In Alloys, Simon Divilov, Hagen Eckert, Cormac Toher, Rico Friedrich, Adam C. Zettel, Donald W. Brenner, William G. Fahrenholtz, Douglas E. Wolfe, Eva Zurek, Jon Paul Maria, Nico Hotz, Xiomara Campilongo, Stefano Curtarolo

Materials Science and Engineering Faculty Research & Creative Works

Spinodal decomposition can improve a number of essential properties in materials, especially hardness. Yet, the theoretical prediction of the onset of this phenomenon (e.g., temperature) and its microstructure (e.g., wavelength) often requires input parameters coming from costly and time-consuming experimental efforts, hindering rational materials optimization. Here, we present a procedure where such parameters are not derived from experiments. First, we calculate the spinodal temperature by modeling nucleation in the solid solution while approaching the spinode boundary. Then, we compute the spinodal wavelength self-consistently using a few reasonable approximations. Our results show remarkable agreement with experiments and, for NiRh, the calculated …

Analyzing Biomedical Datasets With Symbolic Tree Adaptive Resonance Theory, Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight, Donald C. Wunsch

Chemistry Faculty Research & Creative Works

Biomedical Datasets Distill Many Mechanisms Of Human Diseases, Linking Diseases To Genes And Phenotypes (Signs And Symptoms Of Disease), Genetic Mutations To Altered Protein Structures, And Altered Proteins To Changes In Molecular Functions And Biological Processes. It Is Desirable To Gain New Insights From These Data, Especially With Regard To The Uncovering Of Hierarchical Structures Relating Disease Variants. However, Analysis To This End Has Proven Difficult Due To The Complexity Of The Connections Between Multi-Categorical Symbolic Data. This Article Proposes Symbolic Tree Adaptive Resonance Theory (START), With Additional Supervised, Dual-Vigilance (DV-START), And Distributed Dual-Vigilance (DDV-START) Formulations, For The Clustering Of …

T-Pickseer: Visual Analysis Of Taxi Pick-Up Point Selection Behavior, Shuxian Gu, Yemo Dai, Zezheng Feng, Yong Wang, Haipeng Zeng

Research Collection School Of Computing and Information Systems

Taxi drivers often take much time to navigate the streets to look for passengers, which leads to high vacancy rates and wasted resources. Empty taxi cruising remains a big concern for taxi companies. Analyzing the pick-up point selection behavior can solve this problem effectively, providing suggestions for taxi management and dispatch. Many studies have been devoted to analyzing and recommending hotspot regions of pick-up points, which can make it easier for drivers to pick-up passengers. However, the selection of pick-up points is complex and affected by multiple factors, such as convenience and traffic management. Most existing approaches cannot produce satisfactory …

Pd-Modified Cuo-Zno-Al2o3 Catalysts Via Mixed-Phases-Containing Precursor For Methanol Synthesis From Co2 Hydrogenation Under Mild Conditions, Xiao Fan, Kaiying Wang, Xiaoqing He, Shiguang Li, Miao Yu, Xinhua Liang

Chemical and Biochemical Engineering Faculty Research & Creative Works

A series of palladium-modified (Pd-modified) CuO-ZnO-Al2O3 (CZA) catalysts with various Pd loadings (0.3 wt% to 2.4 wt%) were prepared using the wetness impregnation method, on two CZA supports with different structures that are CZA-aged precursor composed of a mixture of zincian-malachite and hydrotalcite-like phases (CZA-zH), and CuO-ZnO-Al2O3 metal oxide nanoparticles (CZA-MO). Enhancement on catalytic activity can be observed on both Pd-modified CZA catalysts in a temperature range of 180–240 °C for methanol synthesis via CO2 hydrogenation. Pd/CZA-zH catalysts exhibited a more efficient and stable production of methanol at a relatively low reaction temperature of 180 °C for 100 hrs. of …

Advancement In Heavy Oil Upgrading And Sustainable Exploration Emerging Technologies, Youssef Yatimi, Jihane Mendil, Meena Marafi, Ahmed Alalou, Muthanna H. Al-Dahhan

Chemical and Biochemical Engineering Faculty Research & Creative Works

Upgrading heavy oil is a subject of high importance for fossil fuel industry due to the rapid depletion of light oil reservoirs and the consequent increased demand for upgrading heavy oil. In this review, the advancement made in heavy oil upgrading and the proposed sustainable emerging technologies dedicated to heavy oil processing have been discussed in a comprehensive and informative manner with consideration to the encountered associated with properties of heavy oil including its significant content of undesirable large molecular weight hydrocarbons, its high viscosity, and its elevated impurity level. The shortcomings of conventional crude oil upgrading technologies are outlined, …

Insights Into Cellular Evolution: Temporal Deep Learning Models And Analysis For Cell Image Classification, Xinran Zhao

Master's Theses

Understanding the temporal evolution of cells poses a significant challenge in developmental biology. This study embarks on a comparative analysis of various machine-learning techniques to classify cell colony images across different timestamps, thereby aiming to capture dynamic transitions of cellular states. By performing Transfer Learning with state-of-the-art classification networks, we achieve high accuracy in categorizing single-timestamp images. Furthermore, this research introduces the integration of temporal models, notably LSTM (Long Short Term Memory Network), R-Transformer (Recurrent Neural Network enhanced Transformer) and ViViT (Video Vision Transformer), to undertake this classification task to verify the effectiveness of incorporating temporal features into the classification …

Building Services Engineering March/April 2024

Building Services Engineering

No abstract provided.

A Comparison Of Western And Eastern Soft Systems Approaches, John L. Anaya, John L. Anaya, John L. Anaya

Master's Theses

Soft System Approaches have been developed worldwide to help problem-solvers and decision-makers develop solutions to complex problems, such as aerospace systems. Soft System Approaches were designed to help lower the disorder of developing a complex system by increasing understanding of a situation. Four Soft System Approaches were investigated, two from the West and two from the East. Within the context of the paper, the West refers to thought patterns associated with thinkers and scientists in Europe and North America, and the East refers to those from and around China. The two from the West are Peter Checkland’s Soft Systems Methodology …

Contributing Factors To Right-Turn Crash Severity At Signalized Intersections: An Application Of Econometric Modeling, Hisham Jashami, Jason C. Anderson, Hameed Mohammed, Douglas P. Cobb, David Hurwitz

Civil and Environmental Engineering Faculty Publications and Presentations

Motorists are required to interact with both roadway infrastructure and various users. The complexity of the driving task in certain scenarios can influence the frequency and severity of crashes. Turning vehicles at intersections, for example, pose a collision risk for both motorized and non-motorized road users. The primary goal of this paper is to investigate the underlying factors which contribute to right-turn crashes at signalized intersections. Five years of crash data across Oregon were collected. A random parameters binary logit model was developed to predict the likelihood of whether a crash resulted in an injury or fatality. It was found …

Nonlinear Interactions Of Sea‐Level Rise And Storm Tide Alter Extreme Coastal Water Levels: How And Why?, H. Moftakhari, D. F. Muñoz, A. Akbari Asanjan, A. Aghakouchak, Hamid Moradkhani, David A. Jay

Civil and Environmental Engineering Faculty Publications and Presentations

Sea-level rise (SLR) increasingly threatens coastal communities around the world. However, not all coastal communities are equally threatened, and realistic estimation of hazard is difficult. Understanding SLR impacts on extreme sea level is challenging due to interactions between multiple tidal and non-tidal flood drivers. We here use global hourly tidal data to show how and why tides and surges interact with mean sea level (MSL) fluctuations. At most locations around the world, the amplitude of at least one tidal constituent and/or amplitude of non-tidal residual have changed in response to MSL variation over the past few decades. In 37% of …

Finite Element Analysis Of The Bearing Component Of Total Ankle Replacement Implants During The Stance Phase Of Gait, Timothy S. Jain

Master's Theses

Total ankle replacement (TAR) implants are an effective option to restore the range of motion of the ankle joint for arthritic patients. An effective tool for analyzing these implants’ mechanical performance and longevity in-silico is finite element analysis (FEA). ABAQUS FEA was used to statically analyze the von Mises stress and contact pressure on the articulating surface of the bearing component in two newly installed fixed-bearing total ankle replacement implants (the Wright Medical INBONE II and the Exactech Vantage). This bearing component rotates on the talar component to induce primary ankle joint motion of plantarflexion and dorsiflexion. The stress response …

An Exploratory Framework For Benchmarking Vehicle Miles Traveled (Vmt) Estimates Associated With University Campuses, Troy Kawahara

Master's Theses

Although vehicle miles traveled (VMT) has become the standard for assessing transportation related impacts in California, some have concerns that many VMT estimates are not properly grounded or informed by real world data, potentially resulting in flawed estimates and impact assessments. This is especially true of special generators, like college and university campuses, which have complex travel patterns distinct from that of the general public. This thesis attempts to resolve a significant disparity observed between two credible VMT estimates for Cal Poly’s campus wide VMT. As part of a campus master planning effort, a VMT estimate was produced in 2019 …

Spatiotemporal Dispersion Compensation For A 200-Thz Noncollinear Optical Parametric Amplifier, William P. Carbery, Laurie A. Bizimana, Matthew S. Barclay, Nicholas D. Wright, Paul H. Davis, William B. Knowlton, Ryan D. Pensack, Paul C. Arpin, Daniel B. Turner

Materials Science and Engineering Faculty Publications and Presentations

A noncollinear optical parametric amplifier (NOPA) can produce few-cycle femtosecond laser pulses that are ideally suited for time-resolved optical spectroscopy measurements. However, the nonlinear-optical process giving rise to ultrabroadband pulses is susceptible to spatiotemporal dispersion problems. Here, we detail refinements, including chirped-pulse amplification (CPA) and pulse-front matching (PFM), that minimize spatiotemporal dispersion and thereby improve the properties of ultrabroadband pulses produced by a NOPA. The description includes a rationale behind the choices of optical and optomechanical components, as well as assessment protocols. We demonstrate these techniques using a 1 kHz, second-harmonic Ti:sapphire pump configuration, which produces ∼5-fs duration pulses that …

Laboratory Evaluation Of High-Temperature Resistant Lysine-Based Polymer Gel Systems For Leakage Control, Tao Song, Xuyang Tian, Baojun Bai, Yugandhara Eriyagama, Mohamed Ahdaya, Adel Alotibi, Thomas P. Schuman

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

In-situ crosslinking gel known for its cost-effectiveness, has been employed for decades to plug high-permeability features in subsurface environments. However, some commonly used crosslinkers are being phased out due to the increasingly rigorous environmental regulations. As a newly discovered environmentally friendly crosslinker, lysine can crosslink the partially hydrolyzed polyacrylamide through transamidation reaction. The present work aimed to study the effect of polymer composition and concentration on the gelation behavior of lysine and high molecular weight acrylamide-based polymers. Several commercial high molecular weight polymers with different contents of 2-Acrylamido-2-methyl-1-propane sulfonic acid (AMPS) including AN-105/125, SAV-55/37/28, and SAV-10 were deployed in this …

Layered Mantle Flow Field Associated With Plate Kinematics And Slab Modulation Underneath The Horseshoe-Shaped Banda Arc-Islands, Sijia Li, Fansheng Kong, Kelly H. Liu, Stephen S. Gao

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The Banda Arc-Continent Collision Zone Signifies One Of The Most Seismically Active And Tectonically Intricate Zones. The High Convergence Rate Across The Region, Coupled With The Exceptionally Arcuate Arc And Subducted Slab, Makes It An Ideal Locale For Investigating Interactions Between Plate (Slab) Kinematics And Plastic Flow In The Asthenosphere, Which Can Be Diagnosed By Seismic Anisotropy From Shear Wave Splitting Analyses. In Total, 206 Pairs Of Splitting Measurements Using Teleseismic SKS, SKKS, And PKS, Along With 43 Pairs Using Local S Phases, Are Obtained By Utilizing Broadband Seismic Data From Five Permanent Seismic Stations. To Reduce The Ambiguity In …

Can Neural Networks Reach Human Vision Levels On Object Recognition Tasks?, Luke D. Baumel, Mikayla Cutler, Matt Hyatt, Joseph Tocco, William Friebel, Nicholas Baker Dr., George K. Thiruvathukal Dr.

Psychology: Faculty Publications and Other Works

Object recognition is a crucial function of biological vision; it allows us to draw conclusions about a visual scene that transcends the image formed by the retina. However, the task of object recognition quickly becomes a challenge when hindrances such as viewing angle, object distance from observer, illuminant qualities, and potential occlusions become active variables. Additionally, the diversity of visual features within the same category of object, coupled with the numerous contexts in which an object may be observed is demonstrative of the formidable task that is object recognition. Previous research showed a significant texture bias in Convolutional Neural Networks’ …

The Professional Constructor, Full Issue, Volume 49, Number 01

The Professional Constructor

No abstract provided.

Mixed Reality For In-Field Construction Activities: A Systematic Literature Review To Identify Challenges And Solutions, Sumanth Sai. P., Jason Lucas

The Professional Constructor

With the new industrial revolution, “Industry 4.0,” it is important to understand and incorporate the new standards and technologies evolving in the market. Industry 4.0 relies on the integrated use of big data and analytics coupled with various technologies to help make decisions and manage projects. This revolution has brought Mixed Reality (MR) into the construction field. Mixed reality (MR) offers significant benefits for smart industries, such as enhancing productivity, training, manufacturing, error correction, assembly, and packaging processes. But how feasible are Mixed Reality Technologies (MRTs) considering the high initial investment required for acquiring devices, subscribing to services, planning and …

Computer-Integrated Construction Management With Procore, Vedanth Ashoka, M.G. Matt Syal

The Professional Constructor

The construction industry faces difficulties in managing the enormous amounts of data generated at each stage of a project, impacting project coordination and decision-making. Currently the industry is facing the issue of a lack of interoperability among the multiple software programs being used for different functions. To address this lack of interoperability, there is a need for an integrated environment that allows seamless flow of data between different functions. Among the few software tools that have emerged in recent year, Procore, a cloud-based construction project management software, has emerged as a widely used solution in the industry, enabling collaboration among …

Hybrid Features Extraction For The Online Mineral Grades Determination In The Flotation Froth Using Deep Learning, Ahmed Bendaouia, El Hassan Abdelwahed, Sara Qassimi, Abdelmalek Boussetta, Intissar Benzakour, Abderrahmane Benhayoun, Oumkeltoum Amar, François Bourzeix, Karim Baïna, Mouhamed Cherkaoui, Oussama Hasidi

Manufacturing & Industrial Engineering Faculty Publications

The control of the froth flotation process in the mineral industry is a challenging task due to its multiple impacting parameters. Accurate and convenient examination of the concentrate grade is a crucial step in realizing effective and real-time control of the flotation process. The goal of this study is to employ image processing techniques and CNN-based features extraction combined with machine learning and deep learning to predict the elemental composition of minerals in the flotation froth. A real world dataset has been collected and preprocessed from a differential flotation circuit at the industrial flotation site based in Guemassa, Morocco. …

Source Level Of Wind-Generated Ambient Sound In The Oceana, N. Ross Chapman, Michael Ainslie, Martin Siderius

Electrical and Computer Engineering Faculty Publications and Presentations

Inference of source levels for ambient ocean sound from local wind at the sea surface requires an assumption about the nature of the sound source. Depending upon the assumptions made about the nature of the sound source, whether monopole or dipole distributions, the estimated source levels from different research groups are different by several decibels over the frequency band 10–350 Hz. This paper revisits the research issues of source level of local wind-generated sound and shows that the differences in estimated source levels can be understood through a simple analysis of the source assumptions.

Energy-Efficient Neuromorphic Architectures For Nuclear Radiation Detection Applications, Jorge I. Canales-Verdial, Jamison R. Wagner, Landon A. Schmucker, Mark Wetzel, Nathan J. Withers, Philippe Erol Proctor, Christof Teuscher, Multiple Additional Authors

Electrical and Computer Engineering Faculty Publications and Presentations

A comprehensive analysis and simulation of two memristor-based neuromorphic architectures for nuclear radiation detection is presented. Both scalable architectures retrofit a locally competitive algorithm to solve overcomplete sparse approximation problems by harnessing memristor crossbar execution of vector–matrix multiplications. The proposed systems demonstrate excellent accuracy and throughput while consuming minimal energy for radionuclide detection. To ensure that the simulation results of our proposed hardware are realistic, the memristor parameters are chosen from our own fabricated memristor devices. Based on these results, we conclude that memristor-based computing is the preeminent technology for a radiation detection platform.

Online Instructional Tools For Motor Carriers, Brian Howell, Jennifer Walton, Paul Ross, Andrew Martin

Kentucky Transportation Center Research Report

Commercial motor carrier customers on Kentucky highways must register and pay taxes for licensing and credentialing requirements. The Kentucky Transportation Cabinet (KYTC) provides an online Motor Carrier Portal that offers information and instructions on meeting these requirements, but customers have increasingly resorted to calling into KYTC’s motor carrier help desk, thereby straining limited personnel resources. The Kentucky Transportation Center (KTC) coordinated with KYTC to develop a series of online instructional videos that can better assist customers with applying for and meeting credentialing requirements.

KTC researchers used a three-phase approach to determine the feasibility and requirements for instructional videos. First, they …

Strengthening The Deployment Of Uncrewed Aerial Systems (Uas) At Kytc, Rachel Catchings, Suzanne Smith, Gayle Marks, Candice Wallace, Christopher Van Dyke

Kentucky Transportation Center Research Report

The Kentucky Transportation Cabinet (KYTC) and transportation agencies around the United States increasingly depends on uncrewed aircraft systems (UAS — also commonly known as drones) to collect data and accelerate project development and delivery. Drones let transportation practitioners safely and efficiently perform many activities, including bridge and highway inspection, construction monitoring, surveying, emergency response, and measuring stockpiles. KYTC’s implementation of UAS has expanded rapidly over the past 10 years, however, the agency lacks well-coordinated procedures for connecting pilots with end data users, scheduling and conducting flights, developing and documenting best practices, and processing and storing data. Based on a review …

The Thermophysical Properties Of Tco2, Hong Zhong, Jason Lonergan, John S. Mccloy, Scott P. Beckman

Materials Science and Engineering Faculty Research & Creative Works

Technetium-99 Is A Highly Radioactive Isotope With A Long Half-Life That Is Common In Nuclear Waste. It Volatizes At A Low Temperature, Which Poses A Significant Challenge To The Clean-Up And Containment Processes. Due To Difficulties In Purifying Technetium Compounds, Their Thermophysical Properties Have Not Been Measured Or Calculated. Here, First Principle Methods Are Used Along With The Quasi Quasi-Harmonic Harmonic Approximation To Compute The Debye Temperature, Volumetric Thermal Expansion Coefficient, Bulk Modulus, And Heat Capacity Of Rutile TcO2 For Temperatures Ranging From 0 To 1500 K And Applied Pressures Ranging From 0 To 255 GPa. The Computed Atomic Structures …

Numerical Back Analysis Of An Underground Bulk Mining Operation Using Distributed Optical Fiber Sensors For Model Calibration, Samuel Nowak, Taghi Sherizadeh, Mina Esmaeelpour, Paul Brooks, Dogukan Guner, Kutay Karadeniz

Mining Engineering Faculty Research & Creative Works

Numerical Modeling Of Complex Underground Engineering Projects Such As Caverns, Tunnels, And Bulk Mining Zones Is An Essential Part Of The Design Phase. Large-Scale Models Require Significant Reductions In Complexity From The Real-World Scenario, Which Often Leads To Low Confidence In The Model Output. In This Work, A Mine-Scale Numerical Model Is Developed To Simulate A Room And Pillar Extraction Mining Operation. The Model Inputs Are Calibrated Through The Comparison Of The Model Response To Pillar Extraction In An Analogous Mine Geometry With Measured Strain Values Collected Using A Novel Distributed Optical Fiber Strain Sensing Technique After Pillar Extraction. Calibration …

Effect Of Heavy-Duty Electric Vehicles On Tire–Pavement Contact Forces, Jaime Hernandez, Angeli Jayme, Johann J. Cardenas Huaman, Imad L. Al-Qadi

Civil and Environmental Engineering Faculty Research and Publications

Electric vehicles offer higher acceleration than conventional internal combustion engines due to larger engine torque. The design and placement of battery packs in heavy-duty electric vehicles are still being optimized, as they can affect axle load distributions and consequently impact pavement analysis and design. This study presents a finite element model of a dual tire assembly considering varying load and acceleration conditions to investigate the effect of conventional and electric heavy-duty vehicles on tire–pavement contact forces. Three scenarios for battery pack locations were examined, leading to six loading conditions for both internal combustion engines and electric trucks. The resulting 3D …