Engineering Commons^™

Implementing Lean Six Sigma In Fda Regulated Technology Transfer, Naina Zachariah, Chad Laux Phd

International Conference on Lean Six Sigma

No abstract provided.

Improving Peruvian Manufacture Of Welding Electrodes, Almendra Morales, Alejandro Gallegos, David Hernandez, Maria Ortiz

International Conference on Lean Six Sigma

No abstract provided.

A Deterministic Model Of The Effect Of Electric Field On Chemotherapeutics Delivery Into A Tumor, Maryam Moarefian, Luke Achenie

Biology and Medicine Through Mathematics Conference

No abstract provided.

Perception Of 3d Symmetrical And Near-Symmetrical Shapes, Vijai Jayadevan, Aaron Michaux, Edward Delp, Zygmunt Pizlo

MODVIS Workshop

No abstract provided.

Real Time Learning Level Assessment Using Eye Tracking, Saurin S. Parikh, Hari Kalva

MODVIS Workshop

E-Learning is emerging as a convenient and effective learning tool. However, the challenge with eLearning is the lack of effective tools to assess levels of learning. Ability to predict difficult content in real time enables eLearning systems to dynamically provide supplementary content to meet learners’ needs. Recent developments have made possible low-cost eye trackers, which enables a new class of applications based on eye response. In comparison to past attempts using bio-metrics in learning assessments, with eye tracking, we can have access to the exact stimulus that is causing the response. A key aspect of the proposed approach is the …

A Time-Series Forecasting Model For Windhoek Rainfall, Namibia, Godfrey T. Pazvakawambwa

Andrews Research Conference

The objective of the study was to use time series forecasting techniques to model Windhoek rainfall based on secondary monthly data from 1891 to 2011. Descriptive summary statistics in the form of measures of centrality and dispersion, time series plots, and autocorrelation functions were generated using R time series statistical software. The Box Jenkin’s ARIMA modelling procedure (model identification, model estimation, model validation) was used to determine the best models for the data. Model diagnostics based on residual analysis were performed to assess the adequacy of the identified models. The final model was then used to forecast monthly rainfall for …

Modeling Accommodation Control Of The Human Eye: Chromatic Aberration And Color Opponency, Agostino Gibaldi, Steven A. Cholewiak, Marty S. Banks

MODVIS Workshop

Accommodation is the process by which the eye lens changes optical power to maintain a clear retinal image as the distance to the fixated object varies. Although luminance blur has long been considered the driving feature for accommodation, it is by definition unsigned (i.e., there is no difference between the defocus of an object closer or farther than the focus distance). Nonetheless, the visual system initially accommodates in the correct direction, implying that it exploits a cue with sign information. Here, we present a model of accommodation control based on such a cue: Longitudinal Chromatic Aberration (LCA). The model relies …

Color Algebras, Jeffrey B. Mulligan

MODVIS Workshop

No abstract provided.

Heuristics From Statistics—Modeling The Behavior And Perception Of Non-Rigid Materials, Vivian C. Paulun, Roland W. Fleming

MODVIS Workshop

No abstract provided.

Modelling Grip Point Selection In Human Precision Grip, Guido Maiello, Lina Klein, Vivian C. Paulun, Roland W. Fleming

MODVIS Workshop

No abstract provided.

Understanding Deleted File Decay On Removable Media Using Differential Analysis, James H. Jones Jr, Anurag Srivastava, Josh Mosier, Connor Anderson, Seth Buenafe

Annual ADFSL Conference on Digital Forensics, Security and Law

Digital content created by picture recording devices is often stored internally on the source device, on either embedded or removable media. Such storage media is typically limited in capacity and meant primarily for interim storage of the most recent image files, and these devices are frequently configured to delete older files as necessary to make room for new files. When investigations involve such devices and media, it is sometimes these older deleted files that would be of interest. It is an established fact that deleted file content may persist in part or in its entirety after deletion, and identifying the …

Source Anonymization Of Digital Images: A Counter–Forensic Attack On Prnu Based Source Identification Techniques, Prithviraj Sengupta, Venkata Udaya Sameer, Ruchira Naskar, Ezhil Kalaimannan

Annual ADFSL Conference on Digital Forensics, Security and Law

A lot of photographers and human rights advocates need to hide their identity while sharing their images on the internet. Hence, source–anonymization of digital images has become a critical issue in the present digital age. The current literature contains a number of digital forensic techniques for “source–identification” of digital images, one of the most efficient of them being Photo–Response Non–Uniformity (PRNU) sensor noise pattern based source detection. PRNU noise pattern being unique to every digital camera, such techniques prove to be highly robust way of source–identification. In this paper, we propose a counter–forensic technique to mislead this PRNU sensor noise …

Harnessing Predictive Models For Assisting Network Forensic Investigations Of Dns Tunnels, Irvin Homem, Panagiotis Papapetrou

Annual ADFSL Conference on Digital Forensics, Security and Law

In recent times, DNS tunneling techniques have been used for malicious purposes, however network security mechanisms struggle to detect them. Network forensic analysis has been proven effective, but is slow and effort intensive as Network Forensics Analysis Tools struggle to deal with undocumented or new network tunneling techniques. In this paper, we present a machine learning approach, based on feature subsets of network traffic evidence, to aid forensic analysis through automating the inference of protocols carried within DNS tunneling techniques. We explore four network protocols, namely, HTTP, HTTPS, FTP, and POP3. Three features are extracted from the DNS tunneled traffic: …

An Accidental Discovery Of Iot Botnets And A Method For Investigating Them With A Custom Lua Dissector, Max Gannon, Gary Warner, Arsh Arora

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper presents a case study that occurred while observing peer-to-peer network communications on a botnet monitoring station and shares how tools were developed to discover what ultimately was identified as Mirai and many related IoT DDOS Botnets. The paper explains how researchers developed a customized protocol dissector in Wireshark using the Lua coding language, and how this enabled them to quickly identify new DDOS variants over a five month period of study.

Find, Build, And Export Information For 3d Printing Of Your Favorite Molecules And Crystal Structures At Two Dedicated Websites, Paul R. Destefano, Peter Moeck

Student Research Symposium

As 3D printers require instructions, the Nano-Crystallography Group at Portland State University is creating two websites (http://nanocrystallography.org/3dconvert/ and http://nanocrystallography.research.pdx.edu/3d-print-files/convert/) where such instructions are created, interactively, for the atomic arrangements of virtually all known molecules and crystals.

We will prepare a "pipeline" into which crystallographic information enters from two curated open access crystallographic databases, is manipulated to create the desired 3D models, and then is exported in either STL format (the standard for monochrome 3D printing) or VRML/X3D (the ISO successor to STL). The two aforementioned databases are the North-American mirror of the Crystallography Open Database (http://nanocrystallography.org) …

Fe Analysis Of Alternative Thermal Breaks For Steel Buildings, Salih Q. Mahmood

Student Research Symposium

“Thermal bridge” is a term used for structural or non-structural elements that have higher heat transfer than any other elements or spots in the building envelope, reducing the efficiency of the building thermal insulation. About 20% of the heat occurs via such thermal bridges. Thermal insulations (thermal breaks) are used within a steel connection to mitigate the effect of thermal bridges. In this research, connections with steel fillers studied by Dusicka (2007) were simulated using the finite element (FE) program ABAQUS. The results from the FE model were validated with those from the experimental work done by Dusicka (2007) and …

Monitoring Of Applied Stress In Concrete Using Ultrasonic Full-Waveform Comparison Techniques, Ali Hafiz

Student Research Symposium

Ultrasonic testing is a non-destructive approach commonly used to evaluate concrete structures. A challenge with concrete is that it is heterogeneous, which causes multiple wave scattering resulting in longer and more complex wave paths. The recorded ultrasonic waveform can be divided into two portions: the coherent (or early) and the diffuse (or Coda) portion. While conventional methods only use the coherent portion, e.g. the first wave arrival to determine the wave velocity, we are interested in the entire waveform, i.e. until the wave amplitude is completely dampened out. The objective of this study was to determine what portion of the …

Extended Saleh Model For Behavioral Modeling Of Envelope Tracking Power Amplifiers, Haider Al Kanan, Fu Li, Felice Francesco Tafuri

Student Research Symposium

Envelope Tracking (ET) is one of the most deployed efficiency enhancement techniques to improve efficiency of RF Power Amplifiers (PAs) in wireless communication. ET PA behavioral models are important to predict the impact of the nonlinear distortion, and memory effect of ET PA on the spectrum in wireless communication. ET PA linearization techniques can be designed based on the behavioral modeling.

Understanding Photovoltaic Properties Of Pbs Quantum Dot Solids Via Solution Contacting, Vitalii Dereviankin, Erik Johansson

Student Research Symposium

Photovoltaic (PV) devices based on PbS quantum dot (QD) solids demonstrate high photontoelectron conversion yields. However, record power conversion efficiency remain low, in part due to small photovoltages, which in turn are affected by both bulk and interfacial defects. Their relative impacts on limiting the photovoltaic performance of QD solids are not known. Interfacial defects can be formed when contacting a semiconductor and may dominate the semiconductor/metal or metaloxide junction properties. The objective of this study is to explore whether electrochemical contacting using liquid electrolytes provides means of contacting QD solids without introducing interfacial defects. We have initially focused on …

Using Activated Charcoal To Reuse Anesthetic Gas, Patrick Kolbay, Joseph Orr, Kai Kück

Utah Space Grant Consortium

General anesthesia enables surgery, with anesthesia machines being the predominant tool to do so. However, these machines are hard to maintain, costly, and require significant supporting infrastructure. The current design of anesthesia machines demands the disposal of anesthetic gases at a rate equal to fresh oxygen entering the system. This causes several orders of magnitude more anesthetic vaporized than needed, yielding negative economic and environmental impact. To address this, we propose utilizing the porous surface of activated charcoal to absorb and desorb the anesthetic gases to be reused.

A Hydrodynamic Model For Plasmasphere Refilling Following Geomagnetic Storms, Kausik Chatterjee, Robert W. Schunk

Utah Space Grant Consortium

The refilling of the plasmasphere following a geomagnetic storm remains one of the longstanding problems involving ionosphere-magnetosphere coupling. Both diffusion and hydrodynamic approximations have been adopted for the modeling and solution of this problem. The diffusion approximation neglects the nonlinear inertial term in the momentum equation and so this approximation is not rigorously valid immediately after a storm. The principle focus of this work is the formulation and development of a hydrodynamic refilling model (that includes the nonlinear inertial term) using the fluxcorrected transport method, a numerical method that is extremely well suited to handling nonlinear problems with shocks and …

Using Hotspot Analysis And Detection Of Early Season Invasives (Desi) To Analyze The Temporal And Spatial Dynamics Of Invasive Cheatgrass (Bromus Tectorum)., Tara B.B. Bishop, J. Belnap, S. Munson, R. A. Gill, Sam B. St. Clair

Utah Space Grant Consortium

The invasion of exotic annual grasses during the last century has transformed plant habitats and communities worldwide. Cheatgrass (Bromus tectorum) is a winter annual grass that has invaded over 100 million acres of the western United States (Pellant and Hall, 1994. Pellant, 1996). Cheatgrass quickly utilizes available resources especially after a disturbance to the landscape. A major impact of invasion is the increased frequency in fires (D’Antonio and Vitousek, 1992). As cheatgrass is highly successful at invading open and disturbed landscapes at a rapid pace it increases the frequency and severity of fires in arid landscapes (Brooks, 2005). …

Linking Quantitative Motor Assessments To The Underlying Brian Injury: A Preliminary Report, Paula Johnson, Clay Kincaid, Nathan Muncy, Steven K. Charles

Utah Space Grant Consortium

Using custom software and an inexpensive novel motion capture controller, we adapted and automated traditional subjective motor assessments in an integrated system to develop a quantitative motor assessment (QMA) that is low-cost, and highly sensitive. Twelve participants who have suffered a traumatic brain injury performed the QMA and had MRI scans of their brain. We compared the individual QMA results from the TBI group to normative standards (developed in an earlier work). We also compared the QMA results to measures of damage found in MRI results. Preliminary analysis of a subset of data are reported here.

Acoustic Measurements Of Lithium-Ion Battery Electrode Films, Kathryn L. Dallon, Jing Yao, Dean R. Wheeler, Brian A. Mazzeo

Utah Space Grant Consortium

This research investigates the use of acoustic measurements as an alternative means of non-destructive quality control for Li-ion battery films. The goal of this research is to enable accurate, non-destructive inspection of the battery electrode as it is being manufactured, so that problems can be identified and addressed early on. Here we report on our efforts to distinguish between films with different mechanical properties using acoustic resonances and surface acoustic wave (SAW) velocity. We were able to differentiate between films of various coating thicknesses using resonance measurements. We also used resonance measurements to monitor a material as it dried. SAW …

Desorption Electrospray Ionization (Desi) Mass Spectrometric Imaging Of Spatially Regulated In Vivo Metabolic Rates, Charlotte R. Lewis, Richard H. Carson, Mercede N. Erikson, Anna P. Zagieboylo, Bradley C. Naylor, Kelvin W. Li, John C. Price, Paul B. Farnsworth

Utah Space Grant Consortium

Desorption electrospray ionization (DESI) is an ambient ionization technique used for mass spectrometric imaging of biological samples. When coupled with isotopic ratio measurements of deuterium-labeled tissues, DESI provides a means of measuring metabolic rates on a spatially resolved basis. In vivo metabolic rates are desired to better understand diseases such as Alzheimer’s, Parkinson’s, and Huntington’s and to study the impact of space travel on muscle tissue growth and wasting. Although DESI has been used to image lipids and metabolites of a variety of tissues and other imaging techniques, such as NIMS, have been used to study kinetic turnover rates, DESI …

Towards Unsupervised Deep Learning Based Anomaly Detection, Trevor Landeen, Jacob Gunther

Utah Space Grant Consortium

Novelty or anomaly detection is a challenging problem in many research disciplines without a general solution. In machine learning, inputs unlike the training data need to be identified. In areas where research involves taking measurements, identifying errant measurements is often necessary and occasionally vital. When monitoring the status of a system, some observations may indicate a potential system failure is occurring or may occur in the near future. The challenge is to identify the anomalous measurements that are usually sparse in comparison to the valid measurements. This paper presents a land-water classification problem as an anomaly detection problem to demonstrate …

Considering Manufacturability In The Design Of Deployable Origami-Adapted Mechanisms, Erica B. Crampton, Spencer P. Magleby

Utah Space Grant Consortium

Primary barriers to greater implementation of deployable origami-adapted mechanisms are their manufacturability and robustness. This paper discusses manufacturability in the design of such mechanisms through presenting and examining three examples. Manufacturability lessons gathered from these examples include the importance of joint-panel interfaces and how techniques and approaches for origami-adapted design can be customized to meet the needs of a specific product. As the manufacturability of deployable origami-adapted products is addressed and improved, their robustness will also improve, thereby enabling greater use of origami-adapted design.

An Optical-Based Aggregate Approach To Measuring Condensation Heat Transfer, Kimberly A. Stevens, Julie Crockett, Daniel R. Maynes, Brian D. Iverson

Utah Space Grant Consortium

Condensation heat transfer is significant in many applications such as such as desalination, energy conversion [1], atmospheric water harvesting [2, 3], electronics cooling, and other high heat flux applications [4]. However, condensate on the surface adds a thermal resistance that limits condensation rates. The rate of condensation heat transfer is inversely proportional to the diameter of the condensate drops [5]. In industrial condensing systems, the resistance is minimized by removing the condensate via gravity or a vapor shear, but the minimum size of droplet removal is typically on the order of the capillary length of the condensate, about 2.7 mm …

Electrochemical Sensing With High Aspect Ratio Carbon Nanotube Platforms, Benjamin J. Brownlee, Brian D. Iverson

Utah Space Grant Consortium

Increased sensitivity of electrochemical sensors is important for detection of low analyte concentrations. A unique flow-through sensor is demonstrated by depositing nanostructured platinum catalyst onto high aspect ratio, porous membranes of vertically-aligned carbon nanotubes (CNTs). Convective mass transfer enhancement was shown to improve the platinum-nanowire-coated CNT (PN-CNT) sensor performance in amperometric sensing of hydrogen peroxide (H₂O₂). Over 90% of the H₂O₂ was oxidized as it passed through the PN-CNT sensor, even for low concentrations in the range of 50 nM to 500 μM. This effective utilization of the analyte in detection demonstrates the …

An Efficient Linear Octree-Based Grid Toward Magnetic Fluid Stimulation, Sean Flynn, Parris Egbert

Utah Space Grant Consortium

An Eulerian approach to fluid flow provides an efficient stable paradigm for realistic fluid simulation. However its reliance on a fixed-resolution grid is not ideal for simulations that exhibit both large and small-scale fluid phenomena. A coarse grid can efficiently capture large-scale effects like ocean waves, but lacks the resolution needed for small-scale phenomena like droplets. On the other hand, a fine grid can capture these small-scale effects, but is inefficient for large-scale phenomena. Magnetic fluid, or ferrofluid, illustrates this problem with its very fine detail centered about a magnet and lack of detail elsewhere. Our new fluid simulation technique …