Engineering Commons^™

Mathematical Modeling Of A Two Wheeled Robotic Base, Kathryn Remell

Mechanical Engineering Undergraduate Honors Theses

This thesis presents the concept of using a two wheeled robot on the moon and briefly explores the requirements for successful long term operation in a lunar environment. The mathematical model for the motion of a robot with two fixed wheels on a differential drive with in a global reference frame. The robot is assumed to be balancing a platform so the mathematical model to balance the platform with wheel motors is also developed and briefly evaluated.

Modeling The Release And Spreading Of Permanganate From Aerated Slow-Release Oxidants In A Laboratory Flow Tank, Ann Kambhu, Yusong Li, Troy E. Gilmore, Steve D. Comfort

Papers in Natural Resources

Aerated, slow-release oxidants are a relatively new technology for treating contaminated aquifers. A critical need for advancing this technology is developing a reliable method for predicting the radius of influence (ROI) around each drive point. In this work, we report a series of laboratory flow tank experiments and numerical modeling efforts designed to predict the release and spreading of permanganate from aerated oxidant candles (oxidant-wax composites). To mimic the design of the oxidant delivery system used in the field, a double screen was used in a series of flow tank experiments where the oxidant was placed inside the inner screen ...

My Private Lead Service Line Replacement, Lillian C. Jeznach, Joseph E. Goodwill

Engineering, Computing & Construction Management Faculty Publications

3 Key Takeaways:

1. A homeowner’s decision to replace their lead service line can be confounded by factors including their understanding of the science, their perceptions of their lead exposure risks, and the cost of the work.
2. First draw and 5-minute flush samples may not capture the peak lead concentration, further confounding a customer’s replacement decision.
3. In my case, lead service line replacement significantly lowered lead concentrations after stagnation based on sequential sampling.

X-Ray Flow Visualization In Multiphase Flows, Alberto Aliseda, Theodore J. Heindel

Mechanical Engineering Publications

The use of X-ray flow visualization has brought a powerful new tool to the study of multiphase flows. Penetrating radiation can probe the spatial concentration of the different phases without the refraction, diffraction, or multiple scattering that usually produce image artifacts or reduce the signal-to-noise ratio below reliable values in optical visualization of multiphase flows; hence, X-ray visualization enables research into the three-dimensional (3D) structure of multiphase flows characterized by complex interfaces. With the commoditization of X-ray laboratory sources and wider access to synchrotron beam time for fluid mechanics, this novel imaging technique has shed light onto many multiphase flows ...

Strategies For Reducing Greenhouse Gases From Liquid Dairy Manure, Vera Sokolov

Theses and Dissertations (Comprehensive)

Livestock production, including the storage, handling, and spreading of manure, are among the largest contributors to greenhouse gas emissions from the agricultural sector. Liquid dairy manure storages are hot spots of methane (CH₄), nitrous oxide (N₂O) and ammonia (NH₃). Both CH₄ and N₂O are greenhouse gases (GHG) which contribute to global warming, while NH₃ is an indirect source of N₂O and a risk to human health. Reducing emissions from manure storages is important not only for protection of environment and humans, but also for conserving the nutrients in manure making ...

Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin

Faculty of Engineering and Information Sciences - Papers: Part B

The identification of protein-protein interaction (PPI) is one of the most important tasks to understand the biological functions and disease mechanisms. Although numerous databases of biological interactions have been published in debt to advanced high-throughput technology, the study of inter-species protein-protein interactions, especially between human and bacterium pathogens, remains an active yet challenging topic to harness computational models tackling the complex analysis and prediction tasks. In this paper, we comprehensively revisit the prediction task of human-bacterium protein-protein interactions (HB-PPI), which is a first ever endeavour to report an empirical evaluation in learning and predicting HB-PPI based on machine learning models ...

A Hybrid Unsupervised Clustering-Based Anomaly Detection Method, Guo Pu, Lijuan Wang, Jun Shen, Fang Dong

Faculty of Engineering and Information Sciences - Papers: Part B

In recent years, machine learning-based cyber intrusion detection methods have gained increasing popularity. The number and complexity of new attacks continue to rise; therefore, effective and intelligent solutions are necessary. Unsupervised machine learning techniques are particularly appealing to intrusion detection systems since they can detect known and unknown types of attacks as well as zero-day attacks. In the current paper, we present an unsupervised anomaly detection method, which combines Sub-Space Clustering (SSC) and One Class Support Vector Machine (OCSVM) to detect attacks without any prior knowledge. The proposed approach is evaluated using the well-known NSL-KDD dataset. The experimental results demonstrate ...

The Ftc And Ai Governance: A Regulatory Proposal, Michael Spiro

Seattle Journal of Technology, Environmental & Innovation Law

No abstract provided.

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Kriging-Based Design For Robust High-Performance Control Systems, Laura Micheli, Simon Laflamme

Civil, Construction and Environmental Engineering Publications

High-performance control systems (HPCS) are sophisticated vibration-mitigation devices that include active, semiactive, and hybrid systems. HPCS leverage feedback mechanisms to dynamically adjust the damping force in response to motion, offering a good mitigation performance over a wide excitation bandwidth. These damping systems are attractive for multihazard mitigation of civil structures. However, the application of HPCS necessitates the design and integration of a closed-loop control system that can be susceptible to local failure or reduction in performance in the form of, for example, malfunctions of HPCS components, noisy measurements, wear, aging, and power unavailability. It follows that these sources of uncertainties ...

Deep Neural Network For Complex Open-Water Wetland Mapping Using High-Resolution Worldview-3 And Airborne Lidar Data, Vitor S. Martins, Amy L. Kaleita, Brian K. Gelder, Gustavo W. Nagel, Daniel A. Maciel

Agricultural and Biosystems Engineering Publications

Wetland inventory maps are essential information for the conservation and management of natural wetland areas. The classification framework is crucial for successful mapping of complex wetlands, including the model selection, input variables and training procedures. In this context, deep neural network (DNN) is a powerful technique for remote sensing image classification, but this model application for wetland mapping has not been discussed in the previous literature, especially using commercial WorldView-3 data. This study developed a new framework for wetland mapping using DNN algorithm and WorldView-3 image in the Millrace Flats Wildlife Management Area, Iowa, USA. The study area has several ...

Closed-Loop Propulsive Control For Very Low Perigee Orbit Energy Management And Stabilization, Tyler J. Gardner

All Graduate Theses and Dissertations

Within the past decade, the United States Air Force has begun exploring options for using smaller satellites, known as SmallSats and CubeSats, to decrease the time it takes to design and build new satellites. If used properly, a rapid development environment for satellites could improve the Air Force's ability to respond to new technologies and threats. Other organizations such as NASA and universities have been using SmallSats and CubeSats for research and development missions.

While smaller satellites are usually much cheaper to develop and require less time to create, limited volume strictly constrains the size of instrumentation and avionics ...

Comparison Of Pre-Intervention Idi Results From Stem And Non-Stem Undergraduate Students, Anne M. Lucietto, Liza Russell

Journal of Global Education and Research

The emphasis on intercultural competence is more prevalent in STEM (Science, Technology, Engineering and Mathematics) majors as the world shifts towards a more globalized economy. When entering higher education, students have differing levels of cultural interaction due to varying peer interaction, family experiences, international travel, and social media experiences. The Intercultural Development Inventory (IDI) has been used to develop an understanding of how students view others and the level of skills they have to interact and adapt to other cultures. Using published data focused on pre-intervention assessment, researchers compared it to data obtained from STEM students preparing for an international ...

Effects Of Short Season Irrigation On Pasture Yield And Predicting Yield With Sentinel-2 Satellite, Ihsan Bugra Bugdayci

All Graduate Theses and Dissertations

Deficit irrigation can reduce agriculture water use making additional water available for other uses. This study looked at multi-year impacts of deficit irrigation on pasture yield. The results show that that early irrigation provides the most benefit to cool season pastures and late season irrigation only had small impacts on yield. According to this research, irrigation water can be saved without impacting the yield importantly.

Remote sensing techniques are becoming a part of agriculture. Yield predictions are important for the farmers and others involved with agriculture. In this research, relationships between the normalized difference vegetation index (NDVI) calculated from remotely ...

Soft-Switched Resonant Dc-Dc Converter In Underwater Dc Power Distribution Network, Tarak Saha

All Graduate Theses and Dissertations

Power distribution with DC source is advantageous over its AC counterpart in long distance distribution network due to the absence of effects of reactive components. Long distance power distribution with traditional voltage source suffers from drop in voltage over the length of the cable due to its impedance and forces the converters in the network to be over-designed with higher power rating than needed. In underwater power distribution network such as ocean observatory, marine sensors on the sea-bed etc., power conversion modules are situated at a distance far away from the shore, ranging from tens of kilometers to hundreds of ...

Near Net Shape Fabrication Of Anisotropic Fe-6.5%Si Soft Magnetic Materials, Gaoyuan Ouyang, Brandt Jensen, Wei Tang, Jordan Schlagel, Benjamin Hilliard, Chaochao Pan, Baozhi Cui, Kevin W. Dennis, David C. Jiles, Todd Monson, Iver E. Anderson, Matthew J. Kramer, Jun Cui

Electrical and Computer Engineering Publications

Efficient and cost-effective soft magnetic materials (SMMs) are essential for accelerating the adoption of electric vehicles and the sustainable growth of renewable electricity. While amorphous and nanocrystalline SMMs offer remarkably low magnetic losses, their poor mechanical properties, limited availability in size and shape (particularly ribbon widths), and high cost prevent them from widespread industrial application. Here, we show that ductile Fe-6.5%Si 2-D flakes could be used as building blocks for making high performance bulk SMMs. This approach bypasses the brittleness problem and creates a new morphology and a new fabrication method for the SMMs with improved energy efficiency ...

Formal Verification Of The Adversarial Robustness Property Of Deep Neural Networks Through Dimension Reduction Heuristics, Refutation-Based Abstraction, And Partitioning, Joshua Smith

All Graduate Theses and Dissertations

Neural networks are tools that are often used to perform functions such as object recognition in images, speech-to-text, and general data classification. Because neural networks have been successful at approximating these functions that are difficult to explicitly write, they are seeing increased usage in fields such as autonomous driving, airplane collision avoidance systems, and other safety-critical applications. Due to the risks involved with safety-critical systems, it is important to provide guarantees about the networks performance under certain conditions. As an example, it is critically important that self driving cars with neural network based vision systems correctly identify pedestrians 100% of ...

Hydraulic Analysis Of Coupling A Labyrinth Weir With A Steep Stepped Chute, Tucker J. Jorgensen

All Graduate Theses and Dissertations

There are many considerations involved in the design of a dam structure. A few of these include minimizing upstream flooding (and risk of embankment overtopping), economical construction, and downstream erosion. Addressing these concerns has, in part, led to a recent increase in the use of more efficient and economical hydraulic. Complex hydraulic structures such as labyrinth weirs and stepped chutes require extensive study to establish design methods. Combining two complex structures can result in dramatic changes in flow characteristics. This is particularly true in the case of combining a labyrinth weir with a stepped chute. Flow from the labyrinth weir ...

Using Numerical Methods To Screen Magnetocaloric Materials In An Active Magnetic Regenerative Cycle, Huseyin Ucar, Durga Paudyal, Ozdal Boyraz

Ames Laboratory Accepted Manuscripts

A 2-dimensional numerical model of a room temperature operating Active Magnetic Regenerator (AMR) that comprises of a regenerator, hot and cold heat exchangers, heat transfer fluid is developed. The regenerator is made of a magnetocaloric material (MCM) which heats up upon applying a magnetic field, H, and cools down when the field is removed; thus, making it the most essential part of an AMR. The model takes experimentally measured ∆Tad(H,T) and the Cp(H,T) data as input and provides quantitative performance metrics of the magnetic cooling system, such as ∆Tspan and the cooling load, as output. With ...

Large Eddy Simulation Of Turbidity Currents In A Narrow Channel With Different Obstacle Configurations, Danial Goodarzi, Kaveh Sookhak Lari, Ehsan Khavasi, Soroush Abolfathi

ECU Publications Post 2013

© 2020, The Author(s). Turbidity currents are frequently observed in natural and man-made environments, with the potential of adversely impacting the performance and functionality of hydraulic structures through sedimentation and reduction in storage capacity and an increased erosion. Construction of obstacles upstream of hydraulic structures is a common method of tackling adverse effects of turbidity currents. This paper numerically investigates the impacts of obstacle’s height and geometrical shape on the settling of sediments and hydrodynamics of turbidity currents in a narrow channel. A robust numerical model based on LES method was developed and successfully validated against physical modelling measurements ...