Engineering Commons^™

Development Of A Design Guideline For Pile Foundations Subjected To Liquefaction-Induced Lateral Spreading, Milad Souri, Arash Khosravifar

Student Research Symposium

Past earthquakes confirmed that seismically induced kinematic loads from soil lateral spreading and inertial loads from structure can cause severe damages to pile foundations. The research questions are:

• How to combine inertial and kinematic loads in design of pile foundations in liquefied soil?
• How the combination of inertia and kinematics changes with depth?
• How this combination is affected by long-duration earthquakes?
• How this combination affects inelastic demands in piles?

Explanation Methods For Neural Networks, Jack H. Chen, Christof Teuscher

Student Research Symposium

Neural Networks (NNs) have become a basis of almost all state-of-the-art machine learning algorithms and classifiers. While NNs have been shown to generalize well to real-world examples, researchers have struggled to show why they work on an intuitive level. We designed several methods to explain the decisions of two state-of-the-art NN classifiers, ResNet and an All-CNN, in the context of the Japanese Society of Radiological Technology (JSRT) lung nodule dataset and the CIFAR-10 image dataset. Leading explanation methods LIME and Grad-CAM generate variations of heat maps which represent the regions of the input determined salient by the NN. We analyze …

Diagnostic Imaging Of Structural Concrete Using Ground Penetrating Radar And Ultrasonic Array, Sina Mehdinia, Thomas Schumacher, Eric Wan, Xubo Song

Student Research Symposium

Structural concrete is the most widely used construction material in the world. Many structures critical to a society such as bridges, hospitals, and airports are built with concrete. While this material is well understood from a mechanical design point of view, still no accurate quantitative tools exist to assess it for damage and deterioration. This is of particular concern for an urban area like Portland with a mega-thrust earthquake waiting to occur. Non-destructive evaluation tools that can quickly and accurately give a full picture of the integrity of structural concrete elements will be key to help plan effective and safe …

An Assessment Of The Decision Making Units’ Efficiency In Service Systems (The Case Of Cellular Telecom), Maoloud Dabab, Timothy R. Anderson

Student Research Symposium

Most tools and models on performance and quality of service management are generic and do not solve the complex technical systems, which the most critical component on the network and where these tools should be applied. The objective of this research is to assess the cellular performance and Base Transceiver Station (BTS) efficiency by proposing a robust model that is derived from multiple Key Performance Indicators (KPIs) based on technical and financial aspects. The novelty of this research provides a comprehensive multidimensional model for tuning the BTS parameters, which can lead to developing a standard global mobile network KPI. The …

Reliable Explanations Via Adversarial Examples On Robust Networks, Walt Woods, Jack H. Chen, Christof Teuscher

Student Research Symposium

Neural Networks (NNs) are increasingly used as the basis of advanced machine learning techniques in sensitive fields such as autonomous vehicles and medical imaging. However, NNs have been found vulnerable to a class of imperceptible attacks, called adversarial examples, which arbitrarily alter the output of the network. To close the schism between needing reliability in real-world applications and the fragility of NNs, we propose a new method for stabilizing networks, and show that as an added bonus, our technique results in reliable, high-fidelity explanations for the NN's decision. Compared to the state-of-the-art, this technique increased the area under the curve …

Exploring And Expanding The One-Pixel Attack, Umairullah Khan, Walt Woods, Christof Teuscher

Student Research Symposium

In machine learning research, adversarial examples are normal inputs to a classifier that have been specifically perturbed to cause the model to misclassify the input. These perturbations rarely affect the human readability of an input, even though the model’s output is drastically different. Recent work has demonstrated that image-classifying deep neural networks (DNNs) can be reliably fooled with the modification of a single pixel in the input image, without knowledge of a DNN’s internal parameters. This “one-pixel attack” utilizes an iterative evolutionary optimizer known as differential evolution (DE) to find the most effective pixel to perturb, via the evaluation of …

Congratulations 2019 Graduates | College Of Engineering, Utah State University

College of Engineering News

The College of Engineering at Utah State Univerisity congratulates all students who graduated May 2.

Computationally Efficient Optimization Of A Five-Phase Flux-Switching Pm Machine Under Different Operating Conditions, Hao Chen, Xiangdong Liu, Nabeel Demerdash, Ayman M. El-Refaie, Zhen Chen, Jiangbiao He

Electrical and Computer Engineering Faculty Research and Publications

This paper investigates the comparative design optimizations of a five-phase outer-rotor flux-switching permanent magnet (FSPM) machine for in-wheel traction applications. To improve the comprehensive performance of the motor, two kinds of large-scale design optimizations under different operating conditions are performed and compared, including the traditional optimization performed at the rated operating point and the optimization targeting the whole driving cycles. Three driving cycles are taken into account, namely, the urban dynamometer driving schedule (UDDS), the highway fuel economy driving schedule (HWFET), and the combined UDDS/HWFET, representing the city, highway, and combined city/highway driving, respectively. Meanwhile, the computationally efficient finite-element analysis …

A Review On Mixed Criticality Methods, Alex Jenkel

Recent Advances in Real-Time Systems

Within the study of mixed criticality scheduling, there are many different aspects that must be considered—resources, processor speeds, number of processors, etc.—that make scheduling theories difficult to produce. Two papers address specific aspects of mixed criticality scheduling, and this paper compares the two different methods and also builds upon them.

High Speed Mid Altitude Aircraft Project, Eric Yan

Honors Program Theses and Projects

This project designs aircraft that addresses the space constraint that limits airport capacity by exploiting lift created by flying aircraft at high speeds (350-500KIAS) in the mid altitudes of FL100-FL200 to increase the payload of smaller aircraft. Three solutions with the length and wingspan footprint of the Boeing 737-800 are produced using the software X-Plane, then virtually flight tested for various performance data. The results find that adoption of these designs can yield significant capacity increases, albeit at reduced fuel efficiency.

Twitter And Disasters: A Social Resilience Fingerprint, Benjamin A. Rachunok, Jackson B. Bennett, Roshanak Nateghi

Purdue University Libraries Open Access Publishing Fund

Understanding the resilience of a community facing a crisis event is critical to improving its adaptive capacity. Community resilience has been conceptualized as a function of the resilience of components of a community such as ecological, infrastructure, economic, and social systems, etc. In this paper, we introduce the concept of a “resilience fingerprint” and propose a multi-dimensional method for analyzing components of community resilience by leveraging existing definitions of community resilience with data from the social network Twitter. Twitter data from 14 events are analyzed and their resulting resilience fingerprints computed. We compare the fingerprints between events and show that …

Wearable Devices For Single-Cell Sensing And Transfection, Lingqian Chang, Yu-Chieh Wang, Faheem Ershad, Ruiguo Yang, Cunjiang Yu, Yubo Fan

Department of Mechanical and Materials Engineering: Faculty Publications

Wearable healthcare devices are mainly used for biosensing and transdermal delivery. Recent advances in wearable biosensors allow for long-term and real-time monitoring of physiological conditions at a cellular resolution. Transdermal drug delivery systems have been further scaled down, enabling wide selections of cargo, from natural molecules (e.g., insulin and glucose) to bioengineered molecules (e.g., nanoparticles). Some emerging nanopatches show promise for precise single-cell gene transfection in vivo and have advantages over conventional tools in terms of delivery efficiency, safety, and controllability of delivered dose. In this review, we discuss recent technical advances in wearable micro/nano devices with unique capabilities or …

Synergy And Timing: A Concurrent Mass Medical Campaign Predicted To Augment Indoor Residual Spraying For Malaria, Richard C. Elliott, David L. Smith, Dorothy C. Echodu

Materials Science and Engineering Faculty Publications and Presentations

Background: Control programmes for high burden countries are tasked with charting effective multi-year strategies for malaria control within significant resource constraints. Synergies between different control tools, in which more than additive benefit accrues from interventions used together, are of interest because they may be used to obtain savings or to maximize health impact per expenditure. One commonly used intervention in sub-Saharan Africa is indoor residual spraying (IRS), typically deployed through a mass campaign. While possible synergies between IRS and long-lasting insecticide-treated nets (LLINs) have been investigated in multiple transmission settings, coordinated synergy between IRS and other mass medical distribution campaigns …

Information Technology News, Georgia Southern University

Information Technology: News & Publications (2012-2023)

• Spring 2019 IT Graduation Reception and Exit Survey

College Of Engineering News, Georgia Southern University

College of Engineering & Computing: News & Publications (2010-2023)

• Computer Science student Najee Searcy co-authors article for IEEE Future Directions newsletter

Development Of A Sonically Powered Biodegradable Nanogenerator For Bone Regeneration, Avi S. Patel

University Scholar Projects

Background: Reconstruction of bone fractures and defects remains a big challenge in orthopedic surgery. While regenerative engineering has advanced the field greatly using a combination of biomaterial scaffolds and stem cells, one matter of difficulty is inducing osteogenesis in these cells. Recent works have shown electricity’s ability to promote osteogenesis in stem cell lines when seeded in bone scaffolds; however, typical electrical stimulators are either (a) externally housed and require overcomplex percutaneous wires be connected to the implanted scaffold or (b) implanted non-degradable devices which contain toxic batteries and require invasive removal surgeries.

Objective: Here, we establish a biodegradable, piezoelectric …

Development Of A Sonically Powered Biodegradable Nanogenerator For Bone Regeneration, Avi Patel

Honors Scholar Theses

Background: Reconstruction of bone fractures and defects remains a big challenge in orthopedic surgery. While regenerative engineering has advanced the field greatly using a combination of biomaterial scaffolds and stem cells, one matter of difficulty is inducing osteogenesis in these cells. Recent works have shown electricity’s ability to promote osteogenesis in stem cell lines when seeded in bone scaffolds; however, typical electrical stimulators are either (a) externally housed and require overcomplex percutaneous wires be connected to the implanted scaffold or (b) implanted non-degradable devices which contain toxic batteries and require invasive removal surgeries.

Objective: Here, we establish a biodegradable, piezoelectric …

Management Transition To The Great Lakes Nearshore: Insights From Hydrodynamic Modeling, Chenfu Huang, Anika Kuczynski, Martin T. Auer, David M. O'Donnell, Pengfei Xue

Department of Civil, Environmental, and Geospatial Engineering Publications

The emerging shift in Great Lakes management from offshore to nearshore waters will require attention to complexities of coastal hydrodynamics and biogeochemical transformations. Emphasizing hydrodynamics, this work resolves transport processes in quantifying discharge plume and pollutant of concern (POC) footprint dimensions, the latter being the portion of the plume where water quality standards are not met. A generic approach, isolated from pollutant-specific biokinetics, provides first-approximation estimates of the footprint area. A high-resolution, linked hydrodynamic-tracer model is applied at a site in the Greater Toronto Area on Lake Ontario. Model results agree with observed meteorological and hydrodynamic conditions and satisfactorily simulate …

Listener Evaluation Of Common Drum Recording And Mixing Techniques, Tucker W. Arbuthnot

Student Theses

This thesis explored whether listeners could perceive the differences between samples recorded and mixed according to methods reported by the so-called popular audio press and samples that did not utilize those methods. The three recording methods were: aligning multiple tracks to achieve a coherent phase relationship, microphone selection, and the style of recording. The three mixing methods were: inverting the bottom snare drum microphone to match the top snare drum microphone, having a pre-delay time on a reverb that matched the tempo of the sample, and routing the room microphones to the drummer’s perspective. ABX listening tests, preference surveys, and …

A Feasibility Study Of Industrial Hemp On Virginia Commercial Poultry Production, Aaron Sloss

Senior Honors Projects, 2010-2019

This project sought to characterize industrial hemp as a potential competitive agricultural commodity for the state of Virginia. Specifically, industrial hempseed was evaluated as a feedstock for the commercial broiler (meat-chickens) industry in Virginia.

Data were gathered to identify both the advantages and disadvantages of industrial hempseed as a nutritional resource for broilers. Key nutritional compositions were identified, quantified, and compared to several common feed ingredients, such as soybean, wheat, corn, and sorghum. Hempseed (whole seed) was found to have a considerably high amino acid content, protein, fiber, and metabolizable energy – making it an attractive alternative to conventional feedstuffs. …

Physical Controllers Vs. Hand-And-Gesture Tracking: Evaluation Of Control Schemes For Vr Audio Mixing, Justin Bennington

Student Theses

Alternative control schemes for affecting the characteristics of audio signals have been designed and evaluated within the audio research community. The medium of virtual reality (VR) presents a unique method of sound source visualization using a headset which displays a virtual environment to the user, allowing users to directly control sound sources with minimal intermediary interference with a variety of different controllers. In order to provide insight into the design and evaluation of VR systems for audio mixing, the differences in subject preference between physical controllers and hand-and-gesture detection controls were investigated. A VR audio mixing interface was iteratively developed …

Mid-Side To X/Y Equivalence: Turning Microphone Theory Into Practice, Brent T. Hauer

Student Theses

The mathematical transformation of the Mid-Side microphone array (M-S) to stereophonic left and right outputs results in an equivalent coincident microphone configuration (X/Y). The output pattern of the combined mid (M) and side (S) signals can be altered by manipulating the polar pattern of the mid (M) microphone and by adjusting the ratio between the M and side (S) microphones. This study investigated the technical and perceptual attributes of equivalent M-S and X/Y patterns in order to determine the consistency of the theoretical with the practical application. A simulated jazz sextet was recorded using a selection of M-S, and their …

Environmental Monitoring Using A Drone-Enabled Wireless Sensor Network, Gina Valentino, Laura Yates, Brooke Potter

Senior Honors Projects, 2010-2019

Water quality monitoring traditionally occurs via resource intensive field surveys, such as when a researcher manually collects data in a stream. Limiting factors such as time, money, and accessibility often result in less oversight of impaired water bodies, significantly threatening ecosystemic health and related ecosystem services. According to the United States Environmental Protection Agency, 84% of rivers and streams within the United States remain unassessed, resulting in significant lapses in available data. Such lapses prohibit efficient and effective monitoring, restoration, and conservation efforts throughout the United States. The objective of this project was to employ an unmanned aerial vehicle to …

Capability Of Matterport 3d Camera For Industrial Archaeology Sites Inventory, R. Shults, E. Levin, R. Habibi, S. Shenoy, O. Honcheruk, T. Hart, Z. An

Michigan Tech Publications, Part 1

This paper provides an overview of state-of-The-Art technology and sensor for the inventory of industrial archaeology. As an object of study, a historical copper shaft the Quincy Mine in Michigan State Upper Peninsula was chosen. This shaft was operated for nearly 100 years from 1846 to 1945 and today, what remains of the shaft is a part of the Keweenaw National Historical Park. The main sensor for data acquisition that was used is a 3D camera Matterport. In given research, the results of the above ground scanning using of Matterport are presented. Before scanning a calibration of Matterport camera was …

The Effects Of Finite Precision On The Simulation Of The Double Pendulum, Rebecca Wild

Senior Honors Projects, 2010-2019

We use mathematics to study physical problems because abstracting the information allows us to better analyze what could happen given any range and combination of parameters. The problem is that for complicated systems mathematical analysis becomes extremely cumbersome. The only effective and reasonable way to study the behavior of such systems is to simulate the event on a computer. However, the fact that the set of floating-point numbers is finite and the fact that they are unevenly distributed over the real number line raises a number of concerns when trying to simulate systems with chaotic behavior. In this research we …

Dry River Watershed Valuation And Management Plan, Julia Hutchens

Senior Honors Projects, 2010-2019

Water quality has become a major environmental and human welfare concern in the world today, it’s no longer just for developing countries. There have been many incidences in the US of health problems related to water quality and a shortage of water. The City of Harrisonburg and the surrounding community also have a need for a well-developed watershed management plan. The focus of this study will be the Dry River because that is a main source of the city’s water. The Dry River watershed is threatened by illegal dumping, erosion from primitive roads and future road building sedimentation, a lack …

Systems Analysis For Pet And Olefin Polymers In A Circular Economy, David R. Shonnard, Emily Tipaldo, Vicki Thompson, Joshua M. Pearce, Gerard T. Caneba, Robert Handler

Michigan Tech Publications, Part 1

Polyethylene terephthalate (PET #1) and polyolefin plastics such polyethylene (HDPE #2, LDPE #4) and polypropylene (PP #5) are major products from the chemical industry, and they comprise a significant fraction of municipal solid waste that ends up in landfills or as litter and marine debris. The reuse of these polymeric materials can be optimized through systems analysis with a view on materials flow analysis, techno-economics, environmental life cycle assessment, and consequential societal impacts. This contribution will present the overall research approach for this exploratory project within the DOE- and industry-funded REMADE Institute and end with a proposed systems analysis framework.

An Unsupervised Channel Selection Method For Ssvep-Based Brain Computer Interfaces, Ethan Webster, Hadi Habibzadeh, Tolga Soyata

CURCE Annual Undergraduate Conference

Brain-computer interfaces (BCIs) provide an alternative communication channel for people with motor deficits that prevent normal communication. The underlying premise of a BCI is that a neuroimaging process such as electroencephalography (EEG) can be used to measure the user’s brain activity as signals. The obtained signals are analyzed to determine the user’s intended actions and a computer system can be used to replace voluntary muscle activity as a means of communication. The information transfer rate (ITR) of an algorithm used for determining the user’s intentions greatly affects the perceived practicality of the BCI system. Such algorithms are divided into two …

Understanding The Privacy Methods, Implications, And Challenges Of Educational Data Mining., Tyler Blanco, Liam Smith

CURCE Annual Undergraduate Conference

Studies on educational data mining have massively advanced the analytical understanding of student learning, outcome predictions, student modeling, and better evaluation. While the information retrieved can improve educational outcomes, such studies must not break the wall of trust or compromise student privacy. To this end, it’s imperative to understand the methods of how privacy is ensured in the field of educational data mining and learning analytics, the limitations of these strategies, the complications that may follow, and the possible resolutions. In this project, we take a systematic approach to review studies in the educational data mining field. Initially, we examine …

Geospatial Energy Potential And Life Cycle Assessment Of Nearshore Oscillating Water Column Systems, Aleks Siemenn, Marie-Odile Fortier

CURCE Annual Undergraduate Conference

Oscillating Water Column (OWC) systems are an iteration of terminator ocean energy technology which generate electrical energy from turbine torque induced by the compression of air in a chamber from changing water level height. OWCs are a well-established technology, however, there have been no studies to date which quantify the life cycle environmental impacts of these systems in a geographic context. The goal of this study is to optimally size an OWC system for selected New England coastline sites and then assess the environmental impacts of the varying system sizes.

An OWC system is optimally sized when the volume of …