Engineering Commons^™

Design And Evaluation Of A Non-Contact Bed-Mounted Sensing Device For Automated In-Home Detection Of Obstructive Sleep Apnea: A Pilot Study, Clara Mosquera-Lopez, Joseph Leitschuh, John Condon, Chad C. Hagen, Uma Rajhbeharrysingh, Cody Hanks, Peter Jacobs

Electrical and Computer Engineering Faculty Publications and Presentations

We conducted a pilot study to evaluate the accuracy of a custom built non-contact pressure-sensitive device in diagnosing obstructive sleep apnea (OSA) severity as an alternative to in-laboratory polysomnography (PSG) and a Type 3 in-home sleep apnea test (HSAT). Fourteen patients completed PSG sleep studies for one night with simultaneous recording from our load-cell-based sensing device in the bed. Subjects subsequently installed pressure sensors in their bed at home and recorded signals for up to four nights. Machine learning models were optimized to classify sleep apnea severity using a standardized American Academy of Sleep Medicine (AASM) scoring of the gold …

Aggregation Of Residential Water Heaters For Peak Shifting And Frequency Response Services, Thomas Leighton Clarke, Tylor Slay, Robert B. Bass, Conrad Eustis

Electrical and Computer Engineering Faculty Publications and Presentations

The increased penetration of renewable energy resources poses challenges for grid stability. The stochastic generation of solar and wind power cannot be controlled to follow load. And, the transition away from synchronous generators is reducing the capacity to arrest and recover from frequency disturbances. Smart electric water heaters provide utilities with an appliance that can be remotely controlled and serve as a form of energy storage. They have very fast response times and make up a large amount of residential energy consumption, making them useful for load peak shifting as well as other ancillary grid services. As smart appliances become …

A High Torque Density Halbach Rotor Coaxial Magnetic Gear, Ho Yin Wong, Jonathan Z. Bird, David Barnett, Wesley Williams

Electrical and Computer Engineering Faculty Publications and Presentations

This paper presents the design, analysis, and experimental testing results for a 5.67:1 Halbach rotor magnetic gearbox with a ferromagnetic back support. Using 3-D finite element analysis software the Halbach magnetic gearbox was calculated to achieve a volumetric torque density of 284N·m/L with only an active region outer diameter of 120mm. The experimental prototype obtained an active region volumetric torque density of 261.4N·m/L

A Bayesian Nonparametric Multiple Testing Procedure For Comparing Several Treatments Against A Control, Luis Gutiérrez, Andrés Barrientos, Jorge González, Daniel Taylor-Rodríguez

Mathematics and Statistics Faculty Publications and Presentations

We propose a Bayesian nonparametric strategy to test for differences between a control group and several treatment regimes. Most of the existing tests for this type of comparison are based on the differences between location parameters. In contrast, our approach identifies differences across the entire distribution, avoids strong modeling assumptions over the distributions for each treatment, and accounts for multiple testing through the prior distribution on the space of hypotheses. The proposal is compared to other commonly used hypothesis testing procedures under simulated scenarios. Two real applications are also analyzed with the proposed methodology.

Lifecycle Modeling And Assessment Of Unmanned Aerial Vehicles (Drones) Co2e Emissions, Miguel A. Figliozzi

Civil and Environmental Engineering Faculty Publications and Presentations

There are no studies that model the potential effectiveness of Unmanned Aerial Vehicles (UAVs) or drones to reduce CO2e lifecycle (including both utilization and vehicle phase) emissions when compared to conventional diesel vans, electric trucks, electric vans, and tricycles. This study presents a novel analysis of lifecycle UAV and ground commercial vehicles CO2e emissions. Different route and customer configurations are modeled analytically. Utilizing real-word data, tradeoffs and comparative advantages of UAVs are discussed. Breakeven points for operational emissions are obtained and the results clearly indicate that UAVs are more CO2e efficient, for small payloads, than conventional diesel vans in a …

From Probabilistic Socio-Economic Vulnerability To An Integrated Framework For Flash Flood Prediction, Sepideh Khajehei

Dissertations and Theses

Flash flood is among the most hazardous natural disasters, and it can cause severe damages to the environment and human life. Flash floods are mainly caused by intense rainfall and due to their rapid onset (within six hours of rainfall), very limited opportunity can be left for effective response. Understanding the socio-economic characteristics involving natural hazards potential, vulnerability, and resilience is necessary to address the damages to economy and casualties from extreme natural hazards. The vulnerability to flash floods is dependent on both biophysical and socio-economic factors. This study provides a comprehensive assessment of socio-economic vulnerability to flash flood alongside …

Assessment Of Cooling And Heat Transfer Properties Of Quenchants With Matlab, Lemmy Meekisho, Rosa L. Simencio Otero, Jônatas M. Viscaino, D. Scott Mackenzie, George Totten, Lauralice C.F. Canale

Mechanical and Materials Engineering Faculty Publications and Presentations

There is ongoing interest for evaluating the potential of renewable base stocks, such as vegetable oils, to replace petroleum oils as metal quenchants. Perhaps the most critical part of this process is characterizing and comparing the cooling and heat transfer performance of potential quenchant candidates. In this work, cooling curves of two vegetable oils, palm oil and canola oil, were obtained along with a commercially available conventional and an accelerated petroleum quenchant using the so-called Tensi multiple thermocouple probe, with emphasis on the center probe emulating a small probe concept. The lumped-parameter approach was implemented in the MATLAB environment (Mathworks …

Quenchant Cooling Curves, Rewetting, And Surface Heat Flux Properties Of Vegetable Oils, Rosa L. Simencio Otero, Jônatas M. Viscaino, Jun Xu, Jianfeng Wu, George Totten, Lauralice C.F. Canale

Mechanical and Materials Engineering Faculty Publications and Presentations

Vegetable oils are currently used for biodegradable and renewable base stocks for quenchant formulation. However, there are relatively few references relating to their true equivalency, or lack thereof, comparative to the quenching performance of petroleum oil-based quenchant formulations. To obtain an overview of the variability vegetable oil quenching performance, the cooling curves and rewetting properties were determined, and the surface heat flux properties were calculated. The vegetable oils that were studied included canola, coconut, corn, cottonseed, palm, peanut, soybean, and sunflower oils. Cooling curves were obtained using the Tensi multiple-surface thermocouple 15 mm diameter by 45 mm cylindrical Inconel 600 …

Aliased Tidal Variability In Mesoscale Sea Level Anomaly Maps, Edward Zaron, Richard D. Ray

Civil and Environmental Engineering Faculty Publications and Presentations

Sea level anomaly (SLA) maps are routinely produced by objective analysis of data from the constellation of satellite altimeter missions in operation since 1992. Beginning in 2014, changes in the Data Unification and Altimeter Combination System (DUACS) used to create the SLA maps resulted in improved spatial resolution of mesoscale variability, but it also increased the levels of aliased tidal variability compared to the methodology employed prior to 2014. The present work investigates the magnitude and spatial distribution of these tidal signals, which are typically smaller than 1 cmin the open ocean but can reach tens of centimeters in the …

Comparative Analysis Of Mosquito Trap Counts In The Peruvian Amazon: Effect Of Trap Type And Other Covariates On Counts And Diversity, George W. Peck, Fanny Castro-Llanos, Victor Lopez-Sifuentes, Erica Lindroth

Civil and Environmental Engineering Faculty Publications and Presentations

Efficient detection of multiple species of adult mosquitoes in various habitats using effective traps is a crucial 1st step in any disease prevention program. Novel trap types that target tropical vectors of human diseases require field testing in the habitat of the vector–disease system in question. This paper analyzes a series of mosquito trapping studies conducted at Mapacocha, San Juan Bautista District, Loreto, Peru, during August–September 2013 and April–May 2014. Six trap configurations were evaluated in forest and rural locations. Adult mosquito counts were analyzed using full Bayesian inference of multilevel generalized linear models and posterior probability point estimates of …

Teen Driver System Modeling: A Tool For Policy Analysis, Celestin Missikpode, Corrine Peek-Asa, Daniel V. Mcgehee, James Torner, Wayne Wakeland, Robert Wallace

Complex Systems Faculty Publications and Presentations

Background: Motor vehicle crashes remain the leading cause of teen deaths in spite of preventive efforts. Prevention strategies could be advanced through new analytic approaches that allow us to better conceptualize the complex processes underlying teen crash risk. This may help policymakers design appropriate interventions and evaluate their impacts.

Methods: System Dynamics methodology was used as a new way of representing factors involved in the underlying process of teen crash risk. Systems dynamics modeling is relatively new to public health analytics and is a promising tool to examine relative influence of multiple interacting factors in predicting a health …

Modeling Harmonic Impacts Of Electric Vehicle Chargers On Distribution Networks, Nicole Woodman, Robert B. Bass, Mike Donnelly

Electrical and Computer Engineering Faculty Publications and Presentations

As the proliferation of electric vehicles continues to grow, it is becoming important to understand the impacts that electric vehicle charging will have on distribution assets. EV chargers are non-linear, multi-state loads. This manuscript presents a design method for the modeling of EV charging units using a VHDL-AMS simulation environment, per IEEE Standard 1076.1. Voltage and current data collected from in-service EV charging stations were used to create harmonic profiles of the EV charging units. From these profiles, generalized models for both Level 2 and Level 3 EV chargers were created. These models were validated within a larger system context …

Modeling The Sustainability Of Small Unmanned Aerial Vehicles Technologies: Final Report, Miguel A. Figliozzi

Civil and Environmental Engineering Faculty Publications and Presentations

In the past decade, unmanned aerial vehicles (UAV) have become increasingly more popular in the commercial sector. Drones are being used for all kinds of purposes, such as surveillance, inspecting architecture, filming, wildlife research, and more. Freight delivery is a potential application that is getting lots of attention from large companies.

This research presented novel data, relationship, and models for deliveries utilizing small UAVs. Small UAVs were defined as aircrafts with a tare of up to 15 kilograms (kg) and a potential payload of up to 15 kg. Since the weight of the UAVs is capped, only drones with engines …

Compensation Of Vertical Position Error Using A Force–Deflection Model In Friction Stir Spot Welding, Jinyoung Yoon, Cheolhee Kim, Sehoon Rhee

Mechanical and Materials Engineering Faculty Publications and Presentations

Despite increasing need for friction stir spot welding (FSSW) for high-temperature softening materials, system deflection due to relatively high plunging force remains an obstacle. System deflection results in the vertical position error of a welding tool and insufficient plunge depth. In this study, we used adaptive control to maintain plunge depth, the plunging force was coaxially measured, and the position error was estimated using a force–deflection model. A linear relationship was confirmed between the force and deflection; this relationship is dependent on the stiffness of the welding system while independent of process parameters and base materials. The proposed model was …

The Influence Of Shared Mobility And Transportation Policies On Vehicle Ownership, Edgar Bertini Ruas

PSU Transportation Seminars

With the emergence of several new providers of shared mobility services, such as Uber, Biketown and Car2go, there has been the promise of changes to the traditional way of owning and using a vehicle. One potential consequence of the new mobility services is the reduction in vehicle ownership. At the same time, cities are trying to anticipate these changes by reducing the amount of space dedicated to parking. This thesis aims to asses the extent to which new shared mobility and transportation policy strategies (especially parking requirements and transit pass availability) relate to vehicle ownership among residents of multifamily dwellings. …

Thermally (Un-) Stratified Wind Plants: Stochastic And Data-Driven Reduced Order Descriptions/Modeling, Naseem Kamil Ali

Dissertations and Theses

Wind energy is one of the significant sources of renewable energy, yet a number of challenges preclude optimal operation of wind plants. Research is warranted in order to minimize the power losses and improve the productivity of wind plants. Here, a framework combining turbulence theory and data mining techniques is built to elucidate physics and mechanisms driving the energy extraction of the wind plants under a number of atmospheric/operating conditions. The performance of wind turbines is subjected to adverse effects caused by wake interactions. Therefore, it is crucial to understand wake-to-wake interactions as well as wake-to-atmospheric boundary layer interactions. Experimental …

Webinar: Segmenting The Market For Transportation Demand Management Campaigns, Philip L. Winters, Amy Lester

TREC Webinar Series

Social marketing seeks to develop and integrate marketing concepts with other approaches to influence behaviors that benefit individuals and communities for the greater social good. It is a useful transportation demand management (TDM) planning approach to promote travel behavior change. The purpose of this study was to explore a consumer market segmentation technique successfully used in Europe for its applicability to marketing efforts in the United States. Attitudinal and demographic data were collected from 1900 individuals in Florida, Oregon, and Virginia modeled after the European approach. Clustering analysis was applied to divide the sample into segments so that members of …

Early Detection Of Corrosion Via Hydrogel-Based Spectroelectrochemical Sensors, Capri Ann Price

Dissertations and Theses

The backbone of the industrialized world is comprised of refined, zerovalent metal, a material which thermodynamically favors an oxidative return to more chemically stable states. There are many methods used to slow or delay this process, such as protective coatings, sacrificial anodes, and alloys, but no method can entirely prevent corrosion. This body of work instead proposes detecting the earliest chemical markers of corrosion: that is, metal ions as they solubilize from a metal surface. Such information would allow maintenance personnel to make informed decisions about the necessity or lack thereof of preventive maintenance, and intervene before advanced damage has …

Scenarios For Adoption Of Autonomous Vehicle Technologies In Freight, Sabya Mishra

PSU Transportation Seminars

Innovation adoption research has largely ignored organizational adoption, and little work has been done to understand or predict the adoption of innovations by freight organizations. Among the existing innovation adoption theoretical and methodological approaches this seminar will explore which are most appropriate methods for freight organizational adoption. The seminar will present a disaggregate market penetration model for freight transportation organizations adopting connected autonomous vehicle (CAV) technology and demonstrate an application using a case study area in Memphis, TN. The seminar will highlight ongoing and future organizational adoption research for CAVs, and other innovations.

Carbon-Supported Transition Metal Nanoparticles For Catalytic And Electromagnetic Applications, Kavita Meduri

Dissertations and Theses

Recently, there has been growing interest in using transition metals (TM) for catalytic and electromagnetic applications, due to the ability of TMs to form stable compounds in multiple oxidation states. In this research, the focus has been on the synthesis and characterization of carbon-supported TM nanoparticles (NPs), specifically palladium (Pd) and gold (Au) NPs, for catalytic applications, and transition metal oxides (TMO) NPs, specifically Fe₃O₄ NPs for electromagnetic applications. Carbon supports have several advantages, such as enabling even distribution of particles, offering large specific surface area with excellent electron conductivity, and relative chemical inertness.

In this dissertation, …

Ensemble Data Assimilation For Flood Forecasting In Operational Settings: From Noah-Mp To Wrf-Hydro And The National Water Model, Mahkameh Zarekarizi

Dissertations and Theses

The National Water Center (NWC) started using the National Water Model (NWM) in 2016. The NWM delivers state-of-the-science hydrologic forecasts in the nation. The NWM aims at operationally forecasting streamflow in more than 2,000,000 river reaches while currently river forecasts are issued for 4,000. The NWM is a specific configuration of the community WRF-Hydro Land Surface Model (LSM) which has recently been introduced to the hydrologic community. The WRF-Hydro model, itself, uses another newly-developed LSM called Noah-MP as the core hydrologic model. In WRF-Hydro, Noah-MP results (such as soil moisture and runoff) are passed to routing modules. Riverine water level …

First-Principles Study Of The Products Of Co2 Dissociation On Nickel-Based Alloys: Trends In Energetics With Alloying Element, Lynza H. Sprowl, Benjamin Adam, Julie D. Tucker, Líney Árnadóttir

Mechanical and Materials Engineering Faculty Publications and Presentations

Oxidation and corrosion of nickel and Ni-based alloys are a problem for many industrial applications, such as power plants that use supercritical CO2 as the working fluid. In supercritical CO2 environments, CO2 dissociates on the surface forming adsorbed CO and O, which can oxidize the surface. The adsorbed CO can further breakdown via direct CO dissociation or via the Boudouard reaction to form adsorbed C, which can in turn carburize the surface. Understanding how the adsorbed species interact with different Ni-based alloys can help guide the design of future alloys. The interactions of adsorbed O, C, and CO on the …

Driver Comprehension Of Permissive Right-Turns With A Flashing Yellow Arrow (Fya), Christopher Monsere, David Hurwitz

PSU Transportation Seminars

This research explored driver comprehension and behaviors with respect to right-turn signal displays with a focus on the Flashing Yellow Arrow (FYA) in a driving simulator and a comprehension survey. Flashing yellow arrows are used in place of other turn signals, such as solid green or flashing yellow or red circles, to indicate that drivers may turn after yielding to oncoming traffic. These turns are considered “permissive.” Turns where no conflicting traffic is present, such as those indicated with a green arrow, are “protected” turns. The flashing yellow arrow’s inclusion in the 2009 Manual on Uniform Traffic Control Devices sped …

Keyword-Based Patent Citation Prediction Via Information Theory, Farshad Madani, Martin Zwick, Tugrul U. Daim

Engineering and Technology Management Faculty Publications and Presentations

Patent citation shows how a technology impacts other inventions, so the number of patent citations (backward citations) is used in many technology prediction studies. Current prediction methods use patent citations, but since it may take a long time till a patent is cited by other inventors, identifying impactful patents based on their citations is not an effective way. The prediction method offered in this article predicts patent citations based on the content of patents. In this research, Reconstructability Analysis (RA), which is based on information theory and graph theory, is applied to predict patent citations based on keywords extracted from …

Webinar: Addressing Bicycle-Vehicle Conflicts With Alternate Signal Control Strategies, Sirisha Kothuri

TREC Webinar Series

There is nationwide interest in supporting sustainable and active transportation modes such as bicycling and walking due to the many benefits associated with them, including reduced congestion, lower emissions and improved health. Although the number of bicyclists is increasing, safety remains a top concern. In urban areas, a common crash type involving bicycles at intersections is the “right hook” where a right-turning vehicle collides with a through bicyclist. While geometric treatments and pavement markings have been studied, there is a lack of research on signal timing treatments to address right-hook bicycle-vehicle conflicts.

Addressing Bicycle-Vehicle Conflicts with Alternate Signal Control Strategies …

Evolution From Cooling Modeling To Cooling Engineering Of The Steel Quenching Process: A Technology Overview, Xinmin Luo, George Totten

Mechanical and Materials Engineering Faculty Publications and Presentations

The type of heat treatment process used is mainly determined by its cooling mode. Hardening is a metal heat treatment during which the most critical operation is cooling. Most quenchants used for steel hardening are vaporizable liquids, such as water, petroleum oils, emulsions, aqueous polymer solutions, or brines. Testing methodologies that include ISO 9950, Industrial Quenching Oils-determination of Cooling Characteristics-Nickel-alloy Probe Test Method, and ASTM Standards: D6200, Standard Test Method for Determination of Cooling Characteristics of Quench Oils by Cooling Curve Analysis, D6482, Standard Test Method for Determination of Cooling Characteristics of Aqueous Polymer Quenchants by Cooling Curve Analysis with …

Unified Business Intelligence Ecosystem: A Project Management Approach To Address Business Intelligence Challenges, Bhavana Ramesh, Akash Ramakrishna

Engineering and Technology Management Faculty Publications and Presentations

The purpose of this paper is to explore a concept that improves the success rate of Business Intelligence projects by looking at it as an ecosystem rather than standalone project. This paper discusses the importance on Business Intelligence (BI) initiatives and today's challenges in implementing them. The concentration is on using proven practices of project management to reduce the failure rates of the Business Intelligence projects by evaluating currently existing Information Technology (IT) project process, Business Intelligence frameworks and a Project Vulnerability process in order to adopt some of the best project management practices that works for Business Intelligence projects. …

Service Innovation In The Cloud: Implications For Strategy Development, Robert R. Harmon, Enrique G. Castro-Leon

Engineering and Technology Management Faculty Publications and Presentations

Cloud enterprises have shifted from linear to networked business models through a value transformation process centered on the development of multisided service platforms. These platforms facilitate service exchange and value cocreation by enabling three essential transitions: 1. from control to orchestration of enterprise resources, 2. from internal optimization to external interactions, and 3. from customer value to ecosystem value. Innovative service transformation is most in evidence with enterprises that are native cloud companies or companies that have more rapidly and effectively adopted ecosystem-based service platforms such as Netflix, Google, Facebook, Uber and Airbnb. Service ecosystems enable the critical processes for …

Genomics, Rare Diseases, And Disruptive Innovation In The Biopharmaceutical Industry, Mark J. Ahn, Amir Shaygan, Charles Weber

Engineering and Technology Management Faculty Publications and Presentations

The multinational biopharmaceutical industry has to deal with significant financial pressures due to being a very cost-constrained and highly regulated industry. To add to that, finite patent expirations on financially successful drugs, vying nature of the biotech industry due to new innovations. There has been an increase of smaller markets due to the proliferation of molecular segmentation patient populations in fields such as personalized medicine. Particularly, due to the significant cost reducing impacts of the development of "next-generation" sequence platforms on DNA sequencing in the last decade, molecular diagnostics are being considered as cost effective candidates to be used as …

Technology Planning For Aligning Emerging Business Models And Regulatory Structures - The Case Of Electric Vehicle Charging And The Smart Grid, Kelly Cowan, Tugrul Daim

Engineering and Technology Management Faculty Publications and Presentations

Smart Grid has the potential to produce over $2 trillion of benefits in the US utility sector over the next 20 years, according to a study by the Electric Power Research Institute. However, the study also projects significant costs of up to $476 billion to achieve these returns. Therefore, while smart grid represents an enormous opportunity, with a benefit-to-cost ratio of nearly 6 to 1, given the enormous financial sums at stake, it is crucial that the planning process for smart grid be done with extreme care. Planning the deployment of smart grid technology in the electric utility sector can …