Engineering Commons^™

Globally Optimal Passive Compliance Control For Tasks Having Multiple Homotopy Classes, Jacob J. Rice, Joseph M. Schimmels

Mechanical Engineering Faculty Research and Publications

Redundant serial manipulators with variable stiffness actuators (VSAs) are capable of passive compliance control, in which the elastic behavior of the end-effector is controlled for robust interaction with a stiff environment. This paper addresses the problem of finding the globally optimal joint manipulation path (sequence of joint positions and compliances) that yields a desired task manipulation path (sequence of end-effector positions and compliances) when there is one degree of redundancy. The space of admissible joint paths can be very complex, with multiple bifurcations resulting in multiple homotopy classes of joint paths. Bifurcations due to singularities in the combined kinematic and …

Improved Virus Isoelectric Point Estimation By Exclusion Of Known And Predicted Genome-Binding Regions, Joe Heffron, Brooke K. Mayer

Civil and Environmental Engineering Faculty Research and Publications

Knowledge of the isoelectric points (pIs) of viruses is beneficial for predicting virus behavior in environmental transport and physical/chemical treatment applications. However, the empirically measured pIs of many viruses have thus far defied simple explanation, let alone prediction, based on the ionizable amino acid composition of the virus capsid. Here, we suggest an approach for predicting the pI of nonenveloped viruses by excluding capsid regions that stabilize the virus polynucleotide via electrostatic interactions. This method was applied first to viruses with known polynucleotide-binding regions (PBRs) and/or three-dimensional (3D) structures. Then, PBRs were predicted in a group of 32 unique viral …

Seismic Performance Of Chevron-Configured Special Concentrically Braced Frames With Yielding Beams, Hayato Asada, Andrew D. Sen, Tao Li, Jeffrey W. Berman, Dawn E. Lehman, Charles W. Roeder

Civil and Environmental Engineering Faculty Research and Publications

Current seismic design requirements for special concentrically braced frames (SCBFs) in chevron configurations require that the beams supporting the braces be designed to resist the demands resulting from the simultaneous yielding of the tension brace and degraded, post-buckling strength of the compression brace. Recent research, including large-scale experiments and detailed finite-element analyses, has demonstrated that limited beam yielding is not detrimental to chevron braced frame behavior and actually increases the story drift at which the braces fracture. These findings have resulted in new expressions for computing beam demands in chevron SCBFs that reduce the demand in the tension brace to …

Deep Reinforcement Learning For Collaborative Edge Computing In Vehicular Networks, Mushu Li, Jie Gao, Lian Zhao, Xuemin Shen

Electrical and Computer Engineering Faculty Research and Publications

Mobile edge computing (MEC) is a promising technology to support mission-critical vehicular applications, such as intelligent path planning and safety applications. In this paper, a collaborative edge computing framework is developed to reduce the computing service latency and improve service reliability for vehicular networks. First, a task partition and scheduling algorithm (TPSA) is proposed to decide the workload allocation and schedule the execution order of the tasks offloaded to the edge servers given a computation offloading strategy. Second, an artificial intelligence (AI) based collaborative computing approach is developed to determine the task offloading, computing, and result delivery policy for vehicles. …

Real-Time Optical Monitoring Of Endotracheal Tube Displacement, Ramzan Ullah, Karl Doerfer, Pawjai Khampang, Faraneh Fathi, Wenzhou Hong, Joseph E. Kerschner, Bing Yu

Biomedical Engineering Faculty Research and Publications

Proper ventilation of a patient with an endotracheal tube (ETT) requires proper placement of the ETT. We present a sensitive, noninvasive, operator-free, and cost-effective optical sensor, called Opt-ETT, for the real-time assessment of ETT placement and alerting of the clinical care team should the ETT become displaced. The Opt-ETT uses a side-firing optical fiber, a near-infrared light-emitting diode, two photodetectors with an integrated amplifier, an Arduino board, and a computer loaded with a custom LabVIEW program to monitor the position of the endotracheal tube inside the windpipe. The Opt-ETT generates a visual and audible warning if the tube moves over …

Comparative Transport Of Legionella And E. Coli Through Saturated Porous Media In A Two-Dimensional Tank, Indrayudh Mondal, Jazlyn Acosta, Absar Alum, Brooke K. Mayer, Paul Dahlen, Morteza Abbaszadegan

Civil and Environmental Engineering Faculty Research and Publications

This study investigated bacterial transport in a two-dimensional (2-D) tank to evaluate the bacterial behavior of Legionella pneumophila as compared to Escherichia coli under saturated flow to simulate aquifer conditions. The experiments were performed in a 2-D tank packed with 3700 in³ (60,632 cm³) of commercially available bagged play sand under saturated conditions. The tank was disinfected by backwashing with 10% chlorine solution and subsequently neutralized by backwashing with tap water containing sodium thiosulphate (Na₂S₂O₃) to ensure no chlorine residual. Bacterial transport was measured using samples collected from ports located at …

Determining Ground Elevations Covered By Vegetation On Construction Sites Using Drone-Based Orthoimage And Convolutional Neural Network, Yuhan Jiang, Yong Bai, Sisi Han

Civil and Environmental Engineering Faculty Research and Publications

Three-dimensional (3D) surveying of a construction site using an image-based method may produce incorrect ground elevation results at vegetation-covered regions, because the light rays are reflected on the surface of vegetation in front of the “truth” ground. This paper presents a convolutional neural network (CNN) method to identify and locate static vegetation using drone-based high-resolution orthoimages. The developed CNN-based image classification models are supplemented with an overlapping disassembling algorithm to generate , , , or small-patches as model inputs. The training datasets are 10 pairs of orthoimage and label-image dataset. Experimental results show that cropping a high-resolution image into 9,025 …

Determination Of Construction Site Elevations Using Drone Technology, Yuhan Jiang, Yong Bai

Civil and Environmental Engineering Faculty Research and Publications

Image-based 3D-reconstruction techniques, such as drone photogrammetry, have been adopted to various construction operations. The challenge is determining the construction site elevation, which is the vertical distance from the ground to the camera, in real-time. This paper presents the research results of using two frame drone-based ortho-images to estimate the elevation of a construction site. This idea is derived from the stereo vision model for measuring distance of indoor scenes. The spatial resolution of the stereo vision is a positive correlation with its baseline, the distance between two cameras. However, a large baseline stereo cameras system is impossible for a …

Modifying The Surface Chemistry And Nanostructure Of Carbon Nanotubes Facilitates The Detection Of Aromatic Hydrocarbon Gases, John N. Hodul, Allison K. Murray, Nikhil F. Carneiro, Joseph R. Meseke, Jacob Morris, Xinping He, Dimitry Zemlyanov, George T.-C. Chiu, James E. Braun, Jeffrey F. Rhoads, Bryan W. Boudouris

Mechanical Engineering Faculty Research and Publications

The benzene, toluene, and xylene (BTX) compounds currently utilized in many building materials and paints have been linked to deleterious health effects, and thus, monitoring the presence of these compounds is of increasing importance with respect to public health. As such, there is a critical need for next-generation low-cost, selective, and sensitive indoor BTX sensors. Current BTX detection systems require multicomponent, complex devices or require high power input to achieve BTX detection at meaningful concentrations, but this long-standing paradigm can be altered through the introduction of tailored nanomaterials. Specifically, we demonstrate a selective BTX resonant mass sensor platform that leverages …

An Investigation Of The Effect Of Trunk Musculature On The Lumbar Spine Injury During A High-Speed Frontal Central Crash, Nan Lin

Master's Theses (2009 -)

Motor vehicle crashes have been a leading cause of fatalities and injuries worldwide. Owing to new protection systems, the occurrence of injuries has been decreasing in recent years. On the contrary, the incidence of lumbar spine injuries in frontal crashes has been increasing as a function of the vehicle model year. However, only a few studies focused on lumbar spine injuries in vehicle crashes. Therefore, the mechanism of lumbar spine injuries has not been understood thoroughly. Muscle contraction is one of the factors that influence the risk of lumbar spine injuries as occupants tend to brace their muscles during a …

Organ Segmentation Of Pediatric Computed Tomography (Ct) With Generative Adversarial Networks, Chi Nok Enoch Kan

Master's Theses (2009 -)

Accurately segmenting organs in abdominal computed tomography (CT) is crucial for many clinical applications such as organ-specific dose estimation. With the recent emergence of deep learning techniques for computer vision, many powerful frameworks are proposed for organ segmentation in abdominal CT images. A major problem with these state-of-the-art methods is that they depend on large amounts of training data to achieve high segmentation accuracy. Pediatric abdominal CTs are particularly hard to obtain since these children are much more sensitive to ionizing radiation than adults. It is extremely challenging to train automatic segmentation algorithms on pediatric CT volumes. To address these …

Aerial Imaging Riverflow System Using Optical Flow, Jamir Shariar Jyoti

Master's Theses (2009 -)

Watershed models of extreme flooding events require accurate and reliablemeasurements of streamflow for calibration and validation. However, flow rate measurements during floods are inherently uncertain, and physical measurements of velocity during flood conditions are prohibitive in many cases. Therefore, novel methods to measure stream velocity during extreme floods must be considered. This work addresses this challenge through the development of the Aerial Imaging Riverflow System (AIRS), a novel system that utilizes drones, aerial imagery, and optical flow algorithm to measure velocity in rivers and streams. This system was applied at a case study location on the Menomonee River in Wauwatosa, …

Seasonal Hydrologic And Biogeochemical Drivers Of Nutrient Availability In Urban Green Spaces, Isabelle R. Horvath

Master's Theses (2009 -)

Humans dominate urban nutrient cycles – adding nitrogen (N) and phosphorus (P) through car exhaust, fertilizer over-use, and pet waste. N and P are transported to streams via stormwater runoff, where they create eutrophic conditions and reduced water quality. Urban green spaces, like green stormwater infrastructure (GSI), have potential to mitigate N and P pollution through retention in soils and plants. Nutrient retention is accomplished in urban green spaces through filtration, plant uptake, and biogeochemical processes. These processes are highly variable, due to the influence of varying environmental drivers, such as temperature, rainfall, soil moisture, and soil redox status. This …

Impact Of Sewershed Characteristics On Rainfall Derived Inflow And Infiltration, Spencer Michael Sebo

Master's Theses (2009 -)

Cities rely on sewer systems to transport wastewater and stormwater, but sometimes these systems are overwhelmed, and their capacity is exceeded due to excess water in the system from rainfall derived inflow and infiltration. This can lead to overflows and backups that can be detrimental to health and property. Excess water from rainfall derived inflow and infiltration enters a sewer system through a multitude of ways, including downspout connections, foundation drains, pipe joints, and broken pipes. Identifying these sources individually can be time intensive and expensive if entire service areas need to be addressed. High level screening tools are therefore …

Benign Paroxysmal Positional Vertigo Predictive Diagnosis From Patient-Facing Survey, Taiwo Fasae

Master's Theses (2009 -)

Benign Paroxysmal Positional Vertigo (BPPV) is a leading cause of dizziness and imbalance that is responsible for one-third of fall incidents. Diagnosis, however, is ridden with uncertainties and errors. This thesis explores various techniques for BPPV predictive diagnosis from a survey study and proposes measures for predictive performance improvement. Patient-facing surveys are established ways of acquiring medical history in clinical settings and, as this thesis demonstrates, are capable of conveying patterns distinguishable for accurate diagnosis. This work begins by discussing BPPV and vestibular disorders in general, and the risks associated with misdiagnosis or elusive diagnosis. Innovative efforts by medical professionals …

Seasonal Hydrologic And Biogeochemical Drivers Of Nutrient Availability In Urban Green Spaces, Isabelle R. Horvath

Master's Theses (2009 -)

Humans dominate urban nutrient cycles – adding nitrogen (N) and phosphorus (P) through car exhaust, fertilizer over-use, and pet waste. N and P are transported to streams via stormwater runoff, where they create eutrophic conditions and reduced water quality. Urban green spaces, like green stormwater infrastructure (GSI), have potential to mitigate N and P pollution through retention in soils and plants. Nutrient retention is accomplished in urban green spaces through filtration, plant uptake, and biogeochemical processes. These processes are highly variable, due to the influence of varying environmental drivers, such as temperature, rainfall, soil moisture, and soil redox status. This …

Association Of Liver Tissue Optical Properties And Thermal Damage, Vivek K. Nagarajan, Jerrold M. Ward, Bing Yu

Biomedical Engineering Faculty Research and Publications

Background and Objectives

Complete thermocoagulation of tumors is vital to minimize the risk of local tumor recurrence after a thermal ablation. Histological assessments are not real-time and require experienced pathologists to grade the thermal damage (histopathology) [Correction added on 21 January, 2020 after first online publication: After thermal damage in the preceding sentence, (histopathology) was added]. Real-time assessment of thermal tissue damage during an ablation is necessary to achieve optimal tumor ablation. In our previous studies, we found that continuous monitoring of the wavelength-averaged (435–630 nm) tissue absorption coefficient (µ_a) and the reduced scattering coefficient () during …

Overcoming Anaerobic Digestion Toxicity Of Aqueous Liquid From Wastewater ‎Solids Pyrolysis, Seyedehfatemeh Seyedi

Dissertations (1934 -)

Pyrolysis treats and potentially recovers energy from wastewater solids (WWS). ‎Aqueous pyrolysis liquid (APL), however, is produced and its management is a ‎bottleneck to pyrolysis full-scale application. To overcome this bottleneck, ‎anaerobic digestion (AD) may be a possible method to manage APL, but APL ‎digestion has not been conclusively demonstrated. In AD, a select group of ‎microorganisms convert organic chemicals to biogas containing methane that ‎can be used as a fuel. In this dissertation work, APL derived from WWS pyrolysis ‎was successfully converted into methane as the sole substrate and as a co-‎digestate with synthetic primary sludge in long-term, continuous …

Design Of Novel Experiments And Analyses For Head And Spine Trauma Biomechanics, John Robert Humm

Dissertations (1934 -)

Previous biomechanics research studies have used both whole-body and isolated postmortem human surrogate experiments to define human injury tolerances, advance safety in injury producing environments, and promulgate standards for design of injury mitigating systems. Recent developments in transportation and sports-related fields have led to an increasing need to determine tolerances for combined loading (multi-axis) scenarios. This dissertation demonstrates the efficacy of the novel experimental design and analysis to head and spine trauma in these modalities. The first topic was the design of a novel experiment to examine the effect oblique loading on the tension tolerance of the lumbar spine. To …

Stochastic Methods For Fine-Grained Image Segmentation And Uncertainty Estimation In Computer Vision, Philipe Ambrozio Dias

Dissertations (1934 -)

In this dissertation, we exploit concepts of probability theory, stochastic methods and machine learning to address three existing limitations of deep learning-based models for image understanding. First, although convolutional neural networks (CNN) have substantially improved the state of the art in image understanding, conventional CNNs provide segmentation masks that poorly adhere to object boundaries, a critical limitation for many potential applications. Second, training deep learning models requires large amounts of carefully selected and annotated data, but large-scale annotation of image segmentation datasets is often prohibitively expensive. And third, conventional deep learning models also lack the capability of uncertainty estimation, which …

Study Of Techniques To Enhance The Performance Of Concrete Members Strengthened By Externally Bonded Composite Materials, Zhao Wang

Dissertations (1934 -)

External bonding of fiber reinforced polymer (FRP) composite materials has been widely recognized as a popular technique for strengthening concrete structures. To find advanced strategies to improve the bond behavior of externally bonded composites strengthened concrete, three major tasks were conducted in this study: experimental work, finite element (FE) analysis, and reliability analysis. The mechanical properties and the deterioration due to water absorption of carbon nanofibers (CNFs) epoxy composites with different contents of CNFs were tested through uniaxial tensile test. According to the tensile test results, adding CNFs could significantly enhance the tensile behavior for epoxy resin. Because adding proper …

Analysis Of Bristle-Tip Impact Crater For Wire Impact Tool, Jian Zhang

Dissertations (1934 -)

Bristle blasting is a novel method that is rapidly gaining widespread acceptance among engineers and practitioners in the surface preparation industry. This process contains the use of a specially designed wire bristle tool that is precisely tuned to the spindle speed of a power tool that rotates at approximately 2,500 rpm. That is, the principle of operation is based upon synchronized/repeated impact and rebound of bristle tips with the target surface, leading to a multitude of impact craters that remove corrosion, expose fresh substrate material, and generate anchor profile. Hence, it is important to develop a model to research the …

Deep Learning For Quantitative Susceptibility Mapping Reconstruction, Juan Liu

Dissertations (1934 -)

Quantitative susceptibility mapping (QSM) is a magnetic resonance imaging (MRI) technique that estimates tissue magnetic susceptibility from Larmor frequency offset measurements. The generation of QSM requires solving ill-posed background field removal (BFR) and field-to-source inversion problems. Incorrect BFR often introduces erroneous local field outputs and subsequently affects susceptibility quantification accuracy. Inaccurate field-to-source inversion often causes large susceptibility estimation errors that appear as streaking artifacts in the QSM, especially in massive hemorrhagic regions. Because current QSM techniques struggle to generate reliable QSM, the clinical translation of QSM is greatly hindered. Recently, deep learning (DL) has achieved state-of-the-art performance in many computer …

Staying Connected – Interactive Student Learning During The Covid Transition To Remote Learning, Jeffrey A. Starke, Margaret L. Mcnamara, Richard J. Povinelli, Daniela Castillo-Perez, Linda Noelle Brigham

Civil and Environmental Engineering Faculty Research and Publications

Background.

How can we transition courses in one week, while maintaining a similar experience for students? This was probably the initial response by faculty across universities as they transitioned to remote learning, mid-semester, in response to the SARS-CoV-2 pandemic. Our approach is supported by the ICAP framework which posits that “as activities move from passive to active to constructive to interactive, students undergo different knowledge-change processes and, as a result, learning will increase.” (Chi and Wylie, 2014)

Purpose/Hypothesis.

How we could foster students’ interactions with course material, instructors, and their peers using collaborative technology and course activities? It was hypothesized …

The Influence Of Marking Methods On Mobility, Survivorship, And Field Recovery Of Halyomorpha Halys (Hemiptera: Pentatomidae) Adults And Nymphs, Danielle M. Kirkpatrick, Kevin B. Rice, Aya Ibrahim, Shelby J. Fleischer, John F. Tooker, Amy Tabb, Henry Medeiros, William R. Morrison Iii, Tracy C. Leskey

Electrical and Computer Engineering Faculty Research and Publications

Halyomorpha halys (Stål), the brown marmorated stink bug, is an invasive and highly polyphagous insect that has caused serious economic injury to specialty and row crops in the United States and Europe. Here, we evaluated the effects of marking adult and nymphal H. halys with four different colors of fluorescent powder (Blaze Orange, Corona Pink, Horizon Blue, and Signal Green) on mobility and survivorship in laboratory bioassays. Adults and nymphs were marked using liquified fluorescent powder solutions and allowed to dry prior to bioassay. The presence of the marking solution had no significant effects on adult or nymphal mobility, adult …

Anomalous Growth Of Al8Mo3 Phase During Interdiffusion And Reaction Between Al And Mo, Abhishek Mehta, Le Zhou, Dennis D. Keiser Jr., Yongho Sohn

Mechanical Engineering Faculty Research and Publications

No abstract provided.

Global Convergence Of Covid-19 Basic Reproduction Number And Estimation From Early-Time Sir Dynamics, Gabriel G. Katul, Asaad Mrad, Sara Bonetti, Gabriele Manolia, Anthony J. Parolari

Civil and Environmental Engineering Faculty Research and Publications

The SIR (‘susceptible-infectious-recovered’) formulation is used to uncover the generic spread mechanisms observed by COVID-19 dynamics globally, especially in the early phases of infectious spread. During this early period, potential controls were not effectively put in place or enforced in many countries. Hence, the early phases of COVID-19 spread in countries where controls were weak offer a unique perspective on the ensemble-behavior of COVID-19 basic reproduction number inferred from SIR formulation. The work here shows that there is global convergence (i.e., across many nations) to an uncontrolled R_o=4.5 that describes the early time spread of COVID-19. This value …

Autonomous Pev Charging Scheduling Using Dyna-Q Reinforcement Learning, Fan Wang, Jie Gao, Mushu Li, Lian Zhao

Electrical and Computer Engineering Faculty Research and Publications

This paper proposes a demand response method to reduce the long-term charging cost of single plug-in electric vehicles (PEV) while overcoming obstacles such as the stochastic nature of the user's driving behaviour, traffic condition, energy usage, and energy price. The problem is formulated as a Markov Decision Process (MDP) with an unknown transition probability matrix and solved using deep reinforcement learning (RL) techniques. The proposed method does not require any initial data on the PEV driver's behaviour and shows improvement on learning speed when compared to a pure model-free reinforcement learning method. A combination of model-based and model-free learning methods …

The Impact Of Metal Pipe Materials, Corrosion Products, And Corrosion Inhibitors On Antibiotic Resistance In Drinking Water Distribution Systems, Lee Kimbell, Yin Wang, Patrick J. Mcnamara

Civil and Environmental Engineering Faculty Research and Publications

Drinking water distribution systems (DWDS) are unique engineering environments that are important routes for the acquisition and dissemination of antibiotic resistance. Antibiotic-resistant bacteria (ARB) and antibiotic resistance genes (ARGs) in drinking water pose risks to human and environmental health. Metals are known stressors that can select for antibiotic resistance. The objective of this review was to assess the state of knowledge regarding the impact of metal pipe materials, corrosion products, and corrosion inhibitors on the prevalence of antibiotic resistance in DWDS. ARGs and mobile genetic elements (MGEs) have been detected in full-scale DWDS in concentrations ranging from ~ 10^{1 …}

Kinetics, Affinity, Thermodynamics, And Selectivity Of Phosphate Removal Using Immobilized Phosphate-Binding Proteins, Kaushik Venkiteshwaran, Erin Wells, Brooke K. Mayer

Civil and Environmental Engineering Faculty Research and Publications

A phosphate (P_i)-selective adsorption system featuring immobilized P_i-binding proteins (PBP) has recently attracted attention for ultralow P_i removal followed by recovery. This study investigated the adsorption kinetics, affinity, thermodynamics, and selectivity, as well as the effect of pH and temperature on P_i adsorption using immobilized PBP (PBP resin). Immobilizing PBP did not affect its P_i affinity. Kinetic studies at 22 °C and pH 7.1 showed that the PBP resin achieved 95% of its equilibrium capacity within 0.64 ± 0.2 min. The estimated Langmuir affinity constant (K_L) was 21 ± 5 …