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Full-Text Articles in Engineering

User Interface Design For Mobile Financial Services: Users Perspective, Belachew U. Regane Jul 2020

User Interface Design For Mobile Financial Services: Users Perspective, Belachew U. Regane

African Conference on Information Systems and Technology

Users belonging to different countries have different exposure and perception to trust the technology to adopt it. Users’ trust and adoption rates are challenging issues in mobile financial services. Thus, the purpose of the research is how to design a trustful user interface. Market research is conducted to collect data. Using the data, personas and use cases developed. The result of personas and use cases used to develop prototypes. Prototype A and B designed differently to give choice to users to investigate users' trust. Prototype A is designed to make it easy to use and clear workflow. Whereas prototype B …


Usability And Accessibility Model For E-Government Websites In Ethiopia, Yoseph Zeleke Jul 2020

Usability And Accessibility Model For E-Government Websites In Ethiopia, Yoseph Zeleke

African Conference on Information Systems and Technology

The development of websites and portals are main components of the e-Government strategy implementations for the last nine years in Ethiopia. However, services optimizations with usability and accessibility are key issues of Ethiopia e-Government services development.

Therefore, the ultimate goal of this study is creation of usable, accessible and sustainable Ethiopian eGovernment websites with four stage of research analysis, through proposed model. The investigations results are used to provide a clear picture of what needs to be improves from management and user point of views and also from other stakeholders of e-Government services. This study applies mixed methods of data …


A Comprehensive Study For Modern Models: Linking Requirements With Software Architectures, Sisay Yemata Jul 2020

A Comprehensive Study For Modern Models: Linking Requirements With Software Architectures, Sisay Yemata

African Conference on Information Systems and Technology

Several models recently have been addressed in software engineering for requirements transformation. However, such transformation models have encountered many problems due to the nature of requirements. In the classical transformation modeling, some requirements are discovered to be missing or erroneous at later stages, in addition to major assumptions that may affect the quality of the software. This has created a crucial need for new approaches to requirements transformation. In this paper, a comprehensive study is presented in the main modern models of linking requirements to software architectures. An extensive evaluation is conducted to investigate the capabilities of such modern models …


Artificial Intelligence Towards Future Industrial Opportunities And Challenges, Gizealew Dagnaw Jul 2020

Artificial Intelligence Towards Future Industrial Opportunities And Challenges, Gizealew Dagnaw

African Conference on Information Systems and Technology

The industry 4.0 will bring reflective changes to our society, including an important digital shift in the manufacturing sector. At present, several manufacturing firms are trying to adopt the practices of industry 4.0 throughout their supply chain. The Fourth Industrial Revolution and the artificial intelligence at its core are fundamentally changing the way we live, work and interact as citizens. The complexity of this transformation may look overwhelming and to many threatening. Recently, the dramatic growth of new generation information technologies has prompted several countries to seek new strategies for industrial revolution. The globalization and the competitiveness are forcing companies …


Efficient Data Mining Algorithm Network Intrusion Detection System For Masked Feature Intrusions, Kassahun Admkie, Kassahun Admkie Tekle Jul 2020

Efficient Data Mining Algorithm Network Intrusion Detection System For Masked Feature Intrusions, Kassahun Admkie, Kassahun Admkie Tekle

African Conference on Information Systems and Technology

Most researches have been conducted to develop models, algorithms and systems to detect intrusions. However, they are not plausible as intruders began to attack systems by masking their features. While researches continued to various techniques to overcome these challenges, little attention was given to use data mining techniques, for development of intrusion detection. Recently there has been much interest in applying data mining to computer network intrusion detection, specifically as intruders began to cheat by masking some detection features to attack systems. This work is an attempt to propose a model that works based on semi-supervised collective classification algorithm. For …


It Governance For Balancing Evolveability And Standardization In Health Information System Implementation In Ethiopian Context, Birkinesh Lagebo, Birkinesh Lagebo, Mark Gaynor Prof., Temtim Assefa Dr Jul 2020

It Governance For Balancing Evolveability And Standardization In Health Information System Implementation In Ethiopian Context, Birkinesh Lagebo, Birkinesh Lagebo, Mark Gaynor Prof., Temtim Assefa Dr

African Conference on Information Systems and Technology

Failing to balance standardization and evolveability in IS design and implementation process results sustainability failure which is common in developing country. IS research provides various IS design solution including layered modular architecture to address both evolveability and standardization simultaneously. However, this design solution requires appropriate IT governance mechanisms which lacks both theoretical and empirical explanation in IS research. The core of this research is understanding IT governance mechanism design that can balance standardization and evolveability in the course of IS design and implementation. The research uses the case of District Health Information System-2 (DHIS-2), layered modular architecture, design and implementation …


Human Behavior Is A Significant Flaw In Maintaining Cyber Security, Elizabeth Jackson Jul 2020

Human Behavior Is A Significant Flaw In Maintaining Cyber Security, Elizabeth Jackson

Cybersecurity Undergraduate Research Showcase

Human behavior and data security utilization must be intertwined; in order to mitigate the negative effects of cyber attacks. No consumer wants their data hacked, breached, stolen, shared or wiped out. It is imperative to survey the type of education is needed to keep users safe and interested in securing their data. This can be done by simply seeking out the consumer's view of data security. The information obtained would allow the cybersecurity community to offer a simple way for consumers to protect their mobile data. There is a constant interaction between human behavior and the need for increased data …


"Thinking Across Borders." 13th Annual Research Week: Event Proceedings, Office Of Research And Sponsored Projects Operations Jun 2020

"Thinking Across Borders." 13th Annual Research Week: Event Proceedings, Office Of Research And Sponsored Projects Operations

Excellence Summit (Research Week) Archived Proceedings

Poster and podium presentations of research by students and faculty of University of the Incarnate Word.


Tympanal Asymmetry In A Parasitoid Fly: Small Asymmetries Produce Big Gains, Max Mikel-Stites, Anne E. Staples May 2020

Tympanal Asymmetry In A Parasitoid Fly: Small Asymmetries Produce Big Gains, Max Mikel-Stites, Anne E. Staples

Biology and Medicine Through Mathematics Conference

No abstract provided.


Security Camera Using Raspberry Pi, Tejendra Khatri May 2020

Security Camera Using Raspberry Pi, Tejendra Khatri

Student Academic Conference

No abstract provided.


Predictive Analysis Of Ethanol Prices With Machine Learning, Benjamin Schilling May 2020

Predictive Analysis Of Ethanol Prices With Machine Learning, Benjamin Schilling

Student Academic Conference

Overview of a predictive analysis regression developed using machine learning alongside ETL process techniques.


Estimating The Tempo Of Audio Files, Parker Ostertag May 2020

Estimating The Tempo Of Audio Files, Parker Ostertag

Student Academic Conference

On the market today, there exists a multitude of software that allows for the detection and prediction of beats per minute (BPM) contained in audio files. There are both free and monetized versions of these programs, but there is one thing that they all have in common: they are inaccurate. This is simply because the science behind beat detection is unfinished, and may never be. In this project, I decided to use a method of audio peak detection to help me detect the tempo that may exist in any audio file. I started by researching existing programs and the science …


A Microfluidic Platform For High-Throughput Screening Of Aquaporin Performance, Adriana Del Pino Herrera, Jordan Hoydick, Rachel Rauh, Elyssa El-Hajj, Madison Burchfield May 2020

A Microfluidic Platform For High-Throughput Screening Of Aquaporin Performance, Adriana Del Pino Herrera, Jordan Hoydick, Rachel Rauh, Elyssa El-Hajj, Madison Burchfield

Undergraduate Research and Scholarship Symposium

Aquaporins are a family of small integral membrane proteins that transport water across cell membranes in response to osmotic gradients. They facilitate fluid secretion and absorption across epithelial surfaces in kidney tubules, exocrine glands, and gastrointestinal tract. Here, we describe a novel microfluidic method to evaluate and screen for aquaporin-based transmembrane permeability in mammalian cells. A microfluidic device was designed and fabricated for the encapsulation of single mammalian and yeast cells in micron-sized droplets. For this purpose, Chinese Hamster Ovarian (CHO) cells were used. CHO cells express AQP1 (aquaporin-1) homologous to human kidney aquaporins. The cells were cultivated and exposed …


Enriching The Stem System, Cierra Desmaratti May 2020

Enriching The Stem System, Cierra Desmaratti

COD Library Student Research and Award Symposium

This project is about the driving factors behind the lack of women and minorities in the STEM field. As I acquired a deeper understanding of the harmful misconceptions and stereotypes that play a huge role in this, I decided to compose a research presentation that featured not only the causes of the problem but solutions for how to increase diversity at College of DuPage. The presentation highlights solutions that will empower young women and minorities to feel validated and supported in the STEM field.

Faculty Sponsor: Tom Carter


Advancing Space Flight Medical Care Through On-Demand Protein Therapeutic Production Capabilities, Emily Long Zhao May 2020

Advancing Space Flight Medical Care Through On-Demand Protein Therapeutic Production Capabilities, Emily Long Zhao

Utah Space Grant Consortium

Cell-free protein synthesis (CFPS) is an in vitro protein synthesis system that provides a uniquely adaptable platform for protein production. In recent years, lyophilization of CFPS have expanded the capabilities of this system by improving reagent stability outside of cold-chain storage. This project sought to utilize lyophilized CFPS reagents to develop a convenient, shelf-stable, on-demand therapeutic protein production platform. The therapeutic protein production potential of this novel platform was demonstrated by the successful expression of an FDA approved therapeutic protein. With the advancement of shelf-stable, on-demand protein therapeutic production platforms comes the potential to provide point-of-care medical treatment for space-flight …


Aerodynamic Interactions Of Synchronized Propellers, Nathan Welker, Samuel Johnson May 2020

Aerodynamic Interactions Of Synchronized Propellers, Nathan Welker, Samuel Johnson

Utah Space Grant Consortium

Emerging advances in electric-propulsion technology are enabling aircraft to use distributed electric propulsion (DEP) to increase efficiency and maneuverability. Distributed electric propulsion can also provide unique take-off and landing abilities which are not commonly found on traditional aircraft. The implementation of DEP effectively decreases the spacing between propellers, introducing complex aerodynamic interactions that are not well understood. This study aims to obtain experimental measurements of the flow fields of synchronized propellers at close-proximity in a side-by-side configuration using particle image velocimetry (PIV) in a wind tunnel. The results of this work will be focused on identifying the impact closely-spaced propellers …


Comparison Of Wake Expansion Methods For Use In Wake Expansion Continuation Optimization, Jared J. Thomas May 2020

Comparison Of Wake Expansion Methods For Use In Wake Expansion Continuation Optimization, Jared J. Thomas

Utah Space Grant Consortium

This paper presents a comparison of three methods for expanding the wake for use with wake expansion continuation (WEC) optimization. A process related to continuation optimization methods for reducing multi-modality in the wind farm layout optimization problem. A reduction in multi-modality is achieved by starting with an increased wake spread, while maintaining normal velocity deficits at the center of the wakes, and then reducing the wake spread for each of a series of optimization runs until the standard wake spread is used. Three wake expansion methods were tested: (1) increasing the wake expansion angle, (2) multiplying the wake diameter, and …


Monte-Carlo Methods And The Step-Back Kalman Filter For Orbital State Estimation, Louis Tonc May 2020

Monte-Carlo Methods And The Step-Back Kalman Filter For Orbital State Estimation, Louis Tonc

Utah Space Grant Consortium

This research assesses the performance of filtering schemes for tracking uncooperative satellites through space-based optical measurements, and identifies a simple and numerically stable methodology that ameliorates the poor performance of standard filtering schemes at a substantially reduced cost in comparison to nonlinear particle filter-based remedies. Traditional filtering schemes, such as the extended Kalman filter (EKF) and unscented Kalman filter (UKF), both diverge when tracking a resident space object (RSO) in geosynchronous orbit (GEO) when there is a long time duration between measurements. This divergence is identified as a consequence of nonlinearity in the dynamics and nonlinearity in the optical measurements, …


One-Dimensional Turbulence Modeling Of Soot Formation And Transport In Non-Premixed Turbulent Flames, Victoria B. Stephens May 2020

One-Dimensional Turbulence Modeling Of Soot Formation And Transport In Non-Premixed Turbulent Flames, Victoria B. Stephens

Utah Space Grant Consortium

Soot modeling in turbulent flames involves tightly coupled problems of combustion chemistry, particle transport, compressible fluid dynamics, and turbulence behavior in addition to soot chemistry and transport. Significant uncertainties accompany soot modeling and transport in such systems, hindering progress toward accurate combustion models and predictive simulation tools. The one-dimensional turbulence (ODT) model, using a stochastic approach to turbulence modeling, captures the full range of length and time scales in a simulation and provides detailed statistical data of the flow con-figuration, chemistry, and particle transport. Previously, ODT has demonstrated accuracy and computational efficiency compared to direct numerical simulation (DNS) of turbulent, …


Ultra-Low Power Adcs For Space Sensors And Instruments, Shea Smith, Wood Chiang May 2020

Ultra-Low Power Adcs For Space Sensors And Instruments, Shea Smith, Wood Chiang

Utah Space Grant Consortium

A 28nm 0.1V 10-bit 2kS/s Successive Approximation Register ADC design is proposed. This design opens the doors to both low supply and low power space sensors and instruments. Due to the stringent voltage supply unique challenges arise that are met with innovation in the sample switch and comparator design. These components of the ADC architecture are optimized to perform successfully at a 0.1V supply with a sample rate suitable for most sensor applications.


Development Of An Inertial Measurement-Based Assessment Of Disease Severity In Chronic Fatigue Syndrome, Turner Palombo, Suzanne Vernon, Shad Roundy May 2020

Development Of An Inertial Measurement-Based Assessment Of Disease Severity In Chronic Fatigue Syndrome, Turner Palombo, Suzanne Vernon, Shad Roundy

Utah Space Grant Consortium

While myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is relatively new and poorly understood, a recent upsurge in research has identified the disease’s core symptoms, including post-exertional malaise and orthostatic intolerance. The FDA has yet to approve any treatments for ME/CFS, partially due to a lack of validated efficacy endpoints.

The central focus of this research is to develop ME/CFS efficacy endpoints using a non-invasive, inertial measurement-based approach. Accessible endpoints will provide a way to properly evaluate potential treatments for ME/CFS. Using a Kalman filter, inertial measurement unit (IMU) data can be converted to optimized leg angle estimates. These angle estimates can …


Validating A Finite Element Model With Ansys Workbench For Isotruss® Structures Subject To Uniaxial Compression, Hanna B. Opdahl May 2020

Validating A Finite Element Model With Ansys Workbench For Isotruss® Structures Subject To Uniaxial Compression, Hanna B. Opdahl

Utah Space Grant Consortium

The purpose of this study is to develop, verify, and validate a finite element (FE) model of IsoTruss® structures subject to uniaxial compression. The FE model is implemented in ANSYS WorkBench and verified using axial stiffness and critical buckling loads that are derived from traditional mechanics. The buckling failure modes include global buckling and local bay buckling. The predictions from the FE model and mechanics calculations are validated by experimental data generated in preceding studies. Results indicate that the effective material modulus is highly affected by variations in manufacturing. Adjustment factors are applied to the nominal material properties to accurately …


An Examination Into The Defining Characteristics Of Flexible Solar Aircraft Configurations Through Optimization, Taylor Mcdonnell May 2020

An Examination Into The Defining Characteristics Of Flexible Solar Aircraft Configurations Through Optimization, Taylor Mcdonnell

Utah Space Grant Consortium

This paper examines the defining characteristics of various solar aircraft configurations through gradient-based multidisciplinary design optimization. We first present a general gradient-based solar aircraft optimization framework which accounts for nonlinear aeroelastic effects resulting from structural flexibility. We then apply this framework to several discrete SR-HALE aircraft geometric, structural, and propulsion system configuration choices to determine the defining characteristics of each configuration choice.


Improving Technologies In Anesthesia, Patrick Kolbay, Joseph Orr May 2020

Improving Technologies In Anesthesia, Patrick Kolbay, Joseph Orr

Utah Space Grant Consortium

General anesthesia is well known to offer physicians access to a broad variety of invasive procedures otherwise deemed too risky. Anesthesia machines provides the means for anesthetizing patients safely in the hospital operating room. However, these devices are increasingly unable to meet the demands and needs outside of the hospital. Developing countries struggle to purchase and maintain these costly devices, leading to a 40-fold increase in anesthesia-related deaths compared to developed countries. Small-office practices in the United States experience significantly poorer anesthesia outcomes and increased legal claims versus their larger hospital counterparts, resulting in 60% more anesthesia-related deaths. Environmental impacts …


Masking And Detecting Radiation-Induced Errors In Sram-Based Fpgas Through Partial Circuit Replication, Andrew M. Keller May 2020

Masking And Detecting Radiation-Induced Errors In Sram-Based Fpgas Through Partial Circuit Replication, Andrew M. Keller

Utah Space Grant Consortium

Radiation found in terrestrial and space environments can induce errors into SRAM-based FPGAs. Replication of circuitry can be used mask and detect these errors to improve reliability or availability. This work advances the understanding and implementation of partial circuit replication in SRAM-based FPGAs. Partial circuit replication is the replication of a subset of the components in a circuit. A reliability model is presented that evaluates the reliability benefit of partial circuit replication. The model suggests that the reliability benefit is inversely related to the portion of the circuit replicated. A partial triple module redundancy case study is also presented that …


Leveraging Commercial Nuclear Reactors To Power Space Exploration, Ben Johnson May 2020

Leveraging Commercial Nuclear Reactors To Power Space Exploration, Ben Johnson

Utah Space Grant Consortium

This study is aimed at exploring the adaptation of commercial nuclear reactors as an alternative to NASA’s current high-power fission reactor systems, particularly with respect to applications on the surface of Mars. The study concludes that while the Kilopower architecture is brilliantly poised to provide affordable, near-term power in the 1-10 kilowatts electric (kWe) range, the financial barrier to higher power scaling of such systems is significant. This financial barrier adds risk to the development of greater than 10kWe systems and is likely to result in the failure to successfully scale the technology to higher powers for space exploration applications. …


Model Reference Predictive Adaptive Control For Large Scale Soft Robots, Phillip Hyatt, Curtis Johnson May 2020

Model Reference Predictive Adaptive Control For Large Scale Soft Robots, Phillip Hyatt, Curtis Johnson

Utah Space Grant Consortium

Past work has shown Model Predictive Control (MPC) to be an effective strategy for controlling continuum joint soft robots using rudimentary models, however the in-accuracies of these models often mean that an integration scheme must be combined with MPC. Presented in this work is a novel dynamic model formulation for continuum joint soft robots which is more accurate than the authors’ previous models yet remains fast enough for MPC. This model is based on the Piecewise Constant Curvature (PCC) assumption and a relatively new configuration representation and allows for computationally efficient simulation. Due to the difficulty in determining model parameters …


Three-Dimensional Hydrodynamic Focusing For Integrated Optofluidic Detection Enhancement, Eric Scott Hamilton May 2020

Three-Dimensional Hydrodynamic Focusing For Integrated Optofluidic Detection Enhancement, Eric Scott Hamilton

Utah Space Grant Consortium

Integrated optofluidics are ideal for high sensitivity detection due to the size of device features being near the small scale of sample particles (10 microns). Novel integrated optofluidic designs enable single molecule detection through hydrodynamic focusing, making the approach ideal for low concentration biosensing. Detection was enhanced and device operation characterized. Further enhancement is promised with optimization of existing designs.


Ensuring Extramobile And Intramobile Motion On Cylindrical Developable Mechanisms, Jared Butler May 2020

Ensuring Extramobile And Intramobile Motion On Cylindrical Developable Mechanisms, Jared Butler

Utah Space Grant Consortium

Developable mechanisms offer the ability to deploy to perform tasks then return to a hidden position along or interior to a predetermined developable surface. It is often advantageous for these mechanisms to not penetrate the surface along which they conform. This paper presents the limits of extramobile and intramobile motion (motion exterior to and interior to a developable surface). Three conditions are identified that determine a limit of extramobile and intramobile behavior. It is shown that the more difficult of these conditions to predict is never reached prior to the more simple cases. This is demonstrated for all possible Grashof …


Influence Of Electrode Height On Carbon Nanotube Electrochemical Biosensors, Benjamin J. Brownlee May 2020

Influence Of Electrode Height On Carbon Nanotube Electrochemical Biosensors, Benjamin J. Brownlee

Utah Space Grant Consortium

High sensitivity of electrochemical sensors enables the detection of low concentrations of target analyte. Being able to quickly and accurately detect low concentrations of proteins at point-of-care allows for results to be analyzed more easily and effectively. Having high surface area allows for more analyte to be detected, possibly leading to increased sensitivity. Vertically-aligned carbon nanotubes (VACNTs) were patterned into interdigitated electrodes (IDEs) and then functionalized with the representative protein streptavidin to demonstrate sensing of biotin. Three electrode heights were investigated to determine the influence of electrode height on sensor sensitivity. Cyclic voltammetry and electrochemical impedance spectroscopy were used to …