Engineering Commons^™

Work In Progress: Assessing Engineering Students' Behavioral Engagement And Learning; Survey Development And Validation, Ibukun Samuel Osunbunmi, Kurt Henry Becker, Young Min Kim, Mohammad Al Mestiraihi

Electrical and Computer Engineering Faculty Publications

Studies have shown that the more involved students are with their learning, the better their achieved desired educational outcome. However, little is known about the extent to which the existing engineering curriculum and pedagogical strategy implemented elicit engineering students’ engagement in the Middle East and North Africa region (MENA) of the world. The goal of this study is to examine to what extent the existing engineering curriculum elicits student engagement in self-learning and collaborative learning. This effort is part of the ongoing re-evaluation and redesign of the water engineering curriculum of one of the countries in the MENA region by …

Uav-Based Quantification Of Dynamic Lahar Channel Morphology At Volcán De Fuego, Guatemala, Jerry C. Mock, Jeffrey B. Johnson, Armando Pineda, Gustavo Bejar, Amilcar Roca

Michigan Tech Publications

This study quantified erosional and depositional processes for secondary lahars in Las Lajas drainage at Volcán de Fuego, Guatemala, during the rainy season from May to October 2021. Abundant pyroclastic material from ongoing eruptive activity is remobilized seasonally during heavy precipitation, which can impact infrastructure and populations living near Fuego. Our region of focus was in an agricultural zone 6 to 10 km from the summit, surveyed with an unoccupied aerial vehicle (UAV) quadcopter at monthly intervals. Imagery was processed into overlapping time-lapse structure from motion digital elevation models (DEMs). DEMs were differenced to find volumetric changes as a function …

Deep Learning Enhancement And Privacy-Preserving Deep Learning: A Data-Centric Approach, Hung S. Nguyen

USF Tampa Graduate Theses and Dissertations

Deep Learning and its applications have become attractive to a lot of research recentlybecause of its capability to capture important information from large amounts of data. While most of the work focuses on finding the best model parameters, improving machine learning performance from data perspective still needs more attention. In this work, we propose techniques to enhance the robustness of deep learning classification by tackling data issue. Specifically, our data processing proposals aim to alleviate the impacts of class-imbalanced data and non- IID data in deep learning classification and federated learning scenarios. In addition, data pre-processing strategies such that dimensionality …

Toward Architecture For Discrete Event Logistics Systems Design, Leon Mcginnis

International Material Handling Research Colloquium

No abstract provided.

Transportation Service Provider Collaboration: Benefits And Insights, Steven Roesch, Kimberly Ellis

International Material Handling Research Colloquium

No abstract provided.

Optimization Of Cargo Handling Equipment At The Airport, David Šourek

International Material Handling Research Colloquium

No abstract provided.

On Logistics And Motion Planning – An Informal Axiomatic Approach, Moritz Roidl

International Material Handling Research Colloquium

No abstract provided.

Handling Disruptions In A Network With Cross-Docking, Vishal Badyal, Fahim Ahmed, Nikhil Aditya Eti, Nathan Huynh, William Ferrell

International Material Handling Research Colloquium

No abstract provided.

Supply Chain Disruptors And Their Impact On The Future Of Manufacturing, Logistics, And Distribution, Henk M. Zijm, Sunderesh S. Heragu

International Material Handling Research Colloquium

No abstract provided.

Breakout Session E-2: "Information", Jelmer Pier Van Der Gaast, Moritz Roidl

International Material Handling Research Colloquium

No abstract provided.

Breakout Session E-3: "The Ideal Gtp Characteristics", Russell D. Meller, Uday Venkatadri

International Material Handling Research Colloquium

No abstract provided.

Breakout Session E-1: "Resilience", Fabio Sgarbossa, William Ferrell

International Material Handling Research Colloquium

No abstract provided.

Breakout Session D-3: "Robotics", Jennifer Pazour, Moritz Roidl

International Material Handling Research Colloquium

No abstract provided.

Breakout Session D-1: "Sustainability", Uday Venkatadri, Kimberly Ellis

International Material Handling Research Colloquium

No abstract provided.

Breakout Session D-2: "Artificial Intelligence", Sunderesh S. Heragu, Hector J. Carlo

International Material Handling Research Colloquium

No abstract provided.

A Fluid Flow Queuing Network Model For Performance Analysis Of Bulk Liquid Terminals, Debjit Roy, Werner Scheinhardt, Jan-Kees Van Ommeren

International Material Handling Research Colloquium

No abstract provided.

Decision Rules For The Robotic Mobile Fulfillment System Of A Pcb Assembly Factory Warehouse, Ching-Jung Ting, Hendra Permana, Hsien-Mi Meng

International Material Handling Research Colloquium

No abstract provided.

Requirements For Generating Learning Environments For Autonomous Systems Behavior In A Digital Continuum, Anike Murrenhoff

International Material Handling Research Colloquium

No abstract provided.

Working Together — Scheduling Operations In Assisted Order Picking, Jelmer Pier Van Der Gaast

International Material Handling Research Colloquium

No abstract provided.

Forklift Operator Safety & Productivity: A Review Of Current Research And Future Directions, Jesus A. Jimenez, Abhimanyu Sharotry, Francis A. Méndez Mediavilla

International Material Handling Research Colloquium

No abstract provided.

Let Shoppers Shop: Why Click And Collect Is Not The Solution, Jennifer Pazour, Kai Furmans

International Material Handling Research Colloquium

No abstract provided.

Designing Facilities To Improve Flexibility: Zone-Based Dynamic Facility Layout With Embedded Input/Output Points, Sadan Kulturel-Konak, Abdullah Konak

International Material Handling Research Colloquium

No abstract provided.

Evaluating Business Service Models For On-Demand Warehousing: A Double Perspective On Suppliers And Customers, Maria Grazia Gnoni, Fabiana Tornese

International Material Handling Research Colloquium

No abstract provided.

On Sparse Coding As An Alternate Transform In Video Coding, Michael G. Schimpf

Engineering Ph.D. Theses

In video compression, specifically in the prediction process, a residual signal is calculated by subtracting the predicted from the original signal, which represents the error of this process. This residual signal is usually transformed by a discrete cosine transform (DCT) from the pixel, into the frequency domain. It is then quantized, which filters more or less high frequencies (depending on a quality parameter). The quantized signal is then entropy encoded usually by a context-adaptive binary arithmetic coding engine (CABAC), and written into a bitstream. In the decoding phase the process is reversed. DCT and quantization in combination are efficient tools, …

A Comprehensive Review Of Dc-Dc Converters For Ev Applications, Shayan Hosseinzad, Amin Mirzaei

Emirates Journal for Engineering Research

DC-DC converters in Electric vehicles (EVs) have the role of interfacing power sources to the DC-link and the DC-link to the required voltage levels for usage of different systems in EVs like DC drive, electric traction, entertainment, safety and etc. Improvement of gain and performance in these converters has a huge impact on the overall performance and future of EVs. So, different configurations have been suggested by many researches. In this paper, bidirectional DC-DC converters (BDCs) are divided into four categories as isolated-soft, isolated-hard, non-isolated-soft and non-isolated-hard depending on the isolation and type of switching. Moreover, the control strategies, comparative …

Optimal Estimation Inversion Of Ionospheric Electron Density From Gnss-Pod Limb Measurements: Part I-Algorithm And Morphology, Dong L. Wu, Nimalan Swarnalingam, Cornelius C. J. H. Salinas, Daniel J. Emmons, Tyler C. Summers, Robert Gardiner-Garden

Faculty Publications

GNSS-LEO radio links from Precise Orbital Determination (POD) and Radio Occultation (RO) antennas have been used increasingly in characterizing the global 3D distribution and variability of ionospheric electron density (Ne). In this study, we developed an optimal estimation (OE) method to retrieve Ne profiles from the slant total electron content (hTEC) measurements acquired by the GNSS-POD links at negative elevation angles (ε < 0°). Although both OE and onion-peeling (OP) methods use the Abel weighting function in the Ne inversion, they are significantly different in terms of performance in the lower ionosphere. The new OE results can overcome the large Ne oscillations, sometimes negative values, seen in the OP retrievals in the E-region ionosphere. In the companion paper in this Special Issue, the HmF2 and NmF2 from the OE retrieval are validated against ground-based ionosondes and radar observations, showing generally good agreements in NmF2 from all sites. Nighttime hmF2 measurements tend to agree better than the daytime when the ionosonde heights tend to be slightly lower. The OE algorithm has been applied to all GNSS-POD data acquired from the COSMIC-1 (2006–2019), COSMIC-2 (2019–present), and Spire (2019–present) constellations, showing a consistent ionospheric Ne morphology. The unprecedented spatiotemporal sampling of the ionosphere from these constellations now allows a detailed analysis of the frequency–wavenumber spectra for the Ne variability at different heights. In the lower ionosphere (~150 km), we found significant spectral power in DE1, DW6, DW4, SW5, and SE4 wave components, in addition to well-known DW1, SW2, and DE3 waves. In the upper ionosphere (~450 km), additional wave components are still present, including DE4, DW4, DW6, SE4, and SW4. The co-existence of eastward- and westward-propagating wave4 components implies the presence of a stationary wave4 (SPW4), as suggested by other earlier studies. Further improvements to the OE method are proposed, including a tomographic inversion technique that leverages the asymmetric sampling about the tangent point associated with GNSS-LEO links.

Fabric-Based Organic Electrochemical Transistor Towards Wearable Ph Sensing Electronics, Nestor Osvaldo Marquez Rios

USF Tampa Graduate Theses and Dissertations

Wearable electronics interest has attracted the attention of a few sectors because of their applicability in different areas like healthcare, military, and our daily basis. Still building circuits on fabrics to make these wearable electronics is challenging. As transistors are the building blocks of electronic circuits and most of the biosensors, recently, fiber-shaped electrochemical transistors have been studied extensively for a lot of applications including bioelectronics. Fiber-based devices are getting popular in different applications due to their low fabrication cost, lightweight, and flexibility without losing their properties. Additionally, they are potentially suitable for making sensors on garments.

In this work, …

Computational Fluid Dynamics Modeling Of A Wafer Etch Temperature Control System, Henrique Oyama, Kip Nieman, Anh Tran, Bernard Keville, Yewei Wu, Helen Durand

Chemical Engineering and Materials Science Faculty Research Publications

Next-generation etching processes for semiconductor manufacturing exploit the potential of a variety of operating conditions, including cryogenic conditions at which high etch rates of silicon and very low etch rates of the photoresist are achieved. Thus, tight control of wafer temperature must be maintained. However, large and fast changes in the operating conditions make the wafer temperature control very challenging to be performed using typical etch cooling systems. The selection and evaluation of control tunings, material, and operating costs must be considered for next-generation etching processes under different operating strategies. These evaluations can be performed using digital twin environments (which …

Peer Review Of Teaching: Et Theory, Deficit Irrigation And Consumptive Use, Derek M. Heeren, Saleh Taghvaeian

Department of Agricultural and Biological Systems Engineering: Presentations and White Papers

A BSE Peer Review of Teaching was carried out for a graduate level course on Advanced Irrigation Management. This course has been offered for several years; each time improvements are made, but there is always a need for additional improvement. In particular, ET theory, deficit irrigation, and consumptive use are topics that the students struggle to grasp. These topics involve a relatively high level of math for an MS-level (800-level) Agricultural Systems Technology course, and the available materials on these topics either were not well developed or were not a good fit for this class. The primary objective was to …

Resource Recovery From Crew Metabolic Wastes In Lunar And Martian Habitats: Reuse Of Effluent From An Anaerobic Membrane Bioreactor Treating Fecal Organic Matter As Fertilizer Source For Plants, Alexandra A. Smith

USF Tampa Graduate Theses and Dissertations

As humans set their sights on exploration of the Moon and Mars human focused challenges like providing potable water, supplying nutritious food to the astronaut crew, and managing their waste present themselves. There are no readily available resources on the Moon and Mars, therefore nothing should be considered unusable including the organic wastes (i.e., feces and urine) produced by the crew. Fecal matter is not currently recycled and is treated as solid waste. After collection, it is discarded out of the International Space Station where it is incinerated upon re-entry. This approach will not work on the Moon’s surface. There …