Digital Commons Network^™

Organizational Readiness Assessment For Fraud Detection And Prevention: Case Of Airlines Sector And Electronic Payment, Sultan Ayed Alghamdi

Dissertations and Theses

Payment processing systems have advanced significantly in the airline business. Because e-payments are easy, they have captured the attention of many companies in the aviation industry and are quickly becoming the dominant means of payment. However, as technology advances, fraud grows at a comparable rate. Over the years, there has been a surge in payment fraud incidents in the airline sector, reducing the platform's trustworthiness. Despite attempts to eliminate e-payment fraud, decision-makers lack the technical expertise required to use the finest fraud detection and prevention assessments; this research recognizes the lack of an established decision model as a hurdle and …

Comparing The Performance Of Different Machine Learning Models In The Evaluation Of Solder Joint Fatigue Life Under Thermal Cycling, Jason Scott Ross

Dissertations and Theses

Predicting the reliability of board-level solder joints is a challenging process for the designer because the fatigue life of solder is influenced by a large variety of design parameters and many nonlinear, coupled phenomena. Machine learning has shown promise as a way of predicting the fatigue life of board-level solder joints. In the present work, the performance of various machine learning models to predict the fatigue life of board-level solder joints is discussed. Experimental data from many different solder joint thermal fatigue tests are used to train the different machine learning models. A web-based database for storing, sharing, and uploading …

Coriolis Forces On Wind Turbine Wakes Within A Wind Farm, Natalie Violetta Frank

Dissertations and Theses

As wind plant footprints and turbine scales grow larger, understanding the interactions between mesoscale physical phenomena, such as Earth's rotation, and large-scale farm wakes become increasingly important. Current field research notes spatial and temporal influences on the global farm wakes caused by Coriolis forces. However, using field experiments to study this is notoriously difficult as there is additional influence from wind veer in the atmospheric boundary layer caused by many factors ranging from terrain to the diurnal cycles. Experiments are performed on a wind plant under the influence of Coriolis forces. This is achieved by placing the wind plant on …

Factors Affecting Community Rating System Participation In The National Flood Insurance Program: A Case Study Of Texas, Ryan David Eddings

Dissertations and Theses

Since the 1960s, the frequency and cost of floods have, on average, increased in the United States. Concurrent with this increase in flood losses has been an increase in flood insurance claims paid out by the National Flood Insurance Program (NFIP). The existing literature shows that participation in the NFIP's Community Rating System (CRS) program successfully lowered flood losses and NFIP insurance claims in the participating communities. In spite of these successes, community participation in the CRS is low and the NFIP is currently more than $20 billion in debt. By identifying factors predicting participation and related barriers to entry …

Environmental Enrichment Factors Associated With The Activity Level Of Bottlenose Dolphins Under Professional Care, Lisa K. Lauderdale, K. Alex Shorter, Joaquin Gabaldon, Jill D. Mellen, Multiple Additional Authors

Biology Faculty Publications and Presentations

Environmental enrichment can be used to improve the welfare of dolphins in zoos and aquariums. Bottlenose dolphins under professional care are typically provided with a range of enrichment that has a variety of features and levels of complexity at various frequencies. In the present study, a subset of data from a larger study entitled “Towards understanding the welfare of cetaceans in zoos and aquariums” (colloquially called the Cetacean Welfare Study) was used to examine the relationship between activity level and enrichment buoyancy as well as enrichment provisioning schedules. Survey data were collected from accredited zoos and aquariums related to the …

Faculty Senate Monthly Packet January 2023, Portland State University Faculty Senate

Faculty Senate Monthly Packets

The January 9, 2023 Monthly packet includes the January agenda and appendices and the Faculty Senate minutes and attachments from the meeting held on December 5, 2022.

Dissecting Succulence: Crassulacean Acid Metabolism And Hydraulic Capacitance Are Independent Adaptations In Clusia Leaves, Alistair Leverett, Samantha Hartzell, Klaus Winter, Milton Garcia, Multiple Additional Authors

Civil and Environmental Engineering Faculty Publications and Presentations

Succulence is found across the world as an adaptation to water-limited niches. The fleshy organs of succulent plants develop via enlarged photosynthetic chlorenchyma and/or achlorophyllous water storage hydrenchyma cells. The precise mechanism by which anatomical traits contribute to drought tolerance is unclear, as the effect of succulence is multifaceted. Large cells are believed to provide space for nocturnal storage of malic acid fixed by crassulacean acid metabolism (CAM), whilst also buffering water potentials by elevating hydraulic capacitance (CFT). The effect of CAM and elevated CFT on growth and water conservation have not been compared, despite the assumption that these adaptations …

Risk Analysis For Asset Protection In Hoyt Arboretum, Portland, Or, Nathan Kossnar

Masters in GIS Practicum Reports

In order to fulfill Tree Risk Assessment Qualification (TRAQ) certification obligations to the International Society of Arboriculture (ISA), this project delineated areas within Hoyt Arboretum where tree hazards have the potential to fall on important infrastructure and areas of frequent use. The project utilized Metro’s RLIS lidar data to generate a canopy height model which was then applied to a variable window filter (vwf) algorithm to determine individual tree heights and locations throughout the park. Previously defined protection areas were used to determine which surrounding trees have the potential to damage structures or injure park visitors in the chance of …

Exploring Associations Between Military Identity And Well-Being Outcomes Among Post-9/11 Veterans After Separation, James David Lee

Dissertations and Theses

Approximately 200,000 service members exit the military each year; as of 2016, there were 19 million veterans in the U.S. As service members transition out of the military and acclimate to civilian life, they face a multitude of stressors. For example, estimates vary from 44 to 72% of veterans reportedly experience increased stress during their transition which often entails securing civilian employment, navigating interpersonal difficulties, and adapting to the challenges of civilian life. These stressors have harmful consequences and have been linked to physical and mental health, and suicide risk. Despite these findings, research examining the well-being of veterans following …

Damage Detection In Reinforced Concrete Member Using Local Time-Frequency Transform Applied To Vibration Measurements, Ning Liu, Thomas Schumacher, Yan Li, Lina Xu, Bo Wang

Civil and Environmental Engineering Faculty Publications and Presentations

Signal processing and analysis of structural vibration measurements are key components of structural damage detection (SDD) in structural health monitoring (SHM). The goal of signal processing is to extract subtle changes in the measured signals, which can be used to infer changes in structural parameters and damage. Time-frequency analysis is one of the most popular characterization methods for studying non-stationary vibration signals. In this article, the local time-frequency transform (LTFT) is applied and evaluated to calculate the time-domain signals because of its excellent time-frequency energy distribution properties. The LTFT matches the input data by the Fourier basis in an inverse …

Community Gis Workshop Design & Delivery: Columbia County Geographic Workshop At Scappoose Public Library, Marty Marquis

Masters in GIS Practicum Reports

Geographic information systems (GIS) provide tools for industry, government, and the public to describe, visualize and organize space both conceptually and materially. Because the technology is complicated and potentially expensive, it is often out of the reach of those communities that might most benefit from its use, even as it’s routinely wielded by business interests, bureaucrats, and representative bodies to identify and legitimize administrative boundaries, potential areas for growth and profit, spatially oriented legislation (restricted areas, zoning), and so forth. Communities whose members know how to use a GIS gain potential advantages in deploying narratives that contest official plans for …

Eugenol, Menthol And Other Flavour Chemicals In Kreteks And ‘White’ Cigarettes Purchased In Indonesia, Joanna Cohen, Beladenta Amalia, Wentai Luo, Kevin J. Mcwhirter, James F. Pankow

Civil and Environmental Engineering Faculty Publications and Presentations

Background Flavoured tobacco products are not restricted in Indonesia, a country with about 68 million adults who smoke. Most use clove-mixed tobacco cigarettes (‘kreteks’); non-clove (‘white’) cigarettes are also available. Although the use of flavour chemicals has been identified by WHO as promoting tobacco use, little has been reported for Indonesia about the levels of flavourants in either kreteks or ‘white cigarettes’.

Methods 22 kretek brand variants and nine ‘white’ cigarette brand variants were purchased in Indonesia during 2021/2022; one of the kretek packs contained three colour-coded variants, giving a total sample number of 24 for the kreteks. Chemical analyses …

Theorizing The Korean Wave| K(Q)Ueer-Pop For Another World: Toward A Theorization Of Gender And Sexuality In K-Pop, Jungmin Kwon

School of Film Faculty Publications and Presentations

This article argues that the K-pop space, which on one level appears to be homogeneously cishetpatriarchal, actually encompasses multiple configurations of gender and sexual identity. Nonetheless, academic discussions about gender and sexuality in K-pop have been significantly weighted toward the idea of “soft masculinity” regarding male performers, thereby muffling other possible interpretations. I suggest a new term, K(Q)ueerness. It means the aesthetics, imaginations, practices, performances, and ideas of K-pop players sublate binaristic identifications, including masculinity and femininity and heterosexual and homosexual—as well as Butler’s distinction between performance and performativity—to embrace the multifarious expressions of gender and sexuality surrounding K-pop. This …

Bulletin: General Catalog Issue 2023-2024, Portland State University

Bulletin & Curriculum Change Documents

No abstract provided.

Dependence Among Order Statistics For Time-Transformed Exponential Models, Subhash C. Kochar, Fabio Spizzichino

Mathematics and Statistics Faculty Publications and Presentations

Let (X1, . . . ,Xn) be a random vector distributed according to a time-transformed exponential model. This is a special class of exchangeable models, which, in particular, includes multivariate distributions with Schur-constant survival functions and with identical marginals. Let for 1 ≤ i ≤ n, Xi:n denote the corresponding ith order statistic. We consider the problem of comparing the strength of dependence between any pair of Xi’s with that of the corresponding order statistics. It is proved that for m = 2, . . . , n, the dependence of X2:m on X1:m is more than that of X2 …

The Role Of Preprocessing For Word Representation Learning In Affective Tasks, Nastaran Babanejad, Heidar Davoudi, Ameeta Agrawal, Manos Papagelis

Computer Science Faculty Publications and Presentations

Affective tasks, including sentiment analysis, emotion classification, and sarcasm detection have drawn a lot of attention in recent years due to a broad range of useful applications in various domains. The main goal of affect detection tasks is to recognize states such as mood, sentiment, and emotions from textual data (e.g., news articles or product reviews). Despite the importance of utilizing preprocessing steps in different stages (i.e., word representation learning and building a classification model) of affect detection tasks, this topic has not been studied well. To that end, we explore whether applying various preprocessing methods (stemming, lemmatization, stopword removal, …

Learned Compressive Representations For Single-Photon 3d Imaging, Felipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle, Claudio Bruschini, Edoardo Charbon, Yin Li, Mohit Gupta, Andreas Velten

Computer Science Faculty Publications and Presentations

Single-photon 3D cameras can record the time-of-arrival of billions of photons per second with picosecond accuracy. One common approach to summarize the photon data stream is to build a per-pixel timestamp histogram, resulting in a 3D histogram tensor that encodes distances along the time axis. As the spatio-temporal resolution of the histogram tensor increases, the in-pixel memory requirements and output data rates can quickly become impractical. To overcome this limitation, we propose a family of linear compressive representations of histogram tensors that can be computed efficiently, in an online fashion, as a matrix operation. We design practical lightweight compressive representations …

Panoramas From Photons, Sacha Jungerman, Atul Ingle, Mohit Gupta

Computer Science Faculty Publications and Presentations

Scene reconstruction in the presence of high-speed motion and low illumination is important in many applications such as augmented and virtual reality, drone navigation, and autonomous robotics. Traditional motion estimation techniques fail in such conditions, suffering from too much blur in the presence of high-speed motion and strong noise in low-light conditions. Single-photon cameras have recently emerged as a promising technology capable of capturing hundreds of thousands of photon frames per second thanks to their high speed and extreme sensitivity. Unfortunately, traditional computer vision techniques are not well suited for dealing with the binary-valued photon data captured by these cameras …

Rdkg: A Reinforcement Learning Framework For Disease Diagnosis On Knowledge Graph, Shipeng Guo, Kunpeng Liu, Pengfei Wang, Weiwei Dai, Yi Du, Yuanchun Zhou, Wenjuan Cui

Computer Science Faculty Publications and Presentations

Automatic disease diagnosis from symptoms has attracted much attention in medical practices. It can assist doctors and medical practitioners in narrowing down disease candidates, reducing testing costs, improving diagnosis efficiency, and more importantly, saving human lives. Existing research has made significant progress in diagnosing disease but was limited by the gap between interpretability and accuracy. To fill this gap, in this paper, we propose a method called Reinforced Disease Diagnosis on Knowlege Graph (RDKG). Specifically, we first construct a knowledge graph containing all information from electronic medical records. To capture informative embeddings, we propose an enhanced knowledge graph embedding method …

Implications Of Physical Fault Injections On Single Chip Motes, Sara Faour, Mališa Vučinić, Filip Maksimovic, David Burnett, Paul Muhlethaler, Thomas Watteyne, Kristofer Pister

Electrical and Computer Engineering Faculty Publications and Presentations

Single-chip motes are wireless sensor nodes that integrate computation, communication, power and sensing on a single chip. We consider the security threats these novel devices are subject to when employed in safety-critical applications. Fault injection attacks are a prominent form of physical attacks that pose a threat to the normal and secure functioning of targeted devices, potentially compromising their intended behavior. These attacks have been studied mainly on commercial off-the-shelf devices which rely on external components such as crystal oscillators and passives. Such external components are absent from single-chip motes, resulting in a uniquely different attack surface compared to commercial …

Contextualizing Patterns In Short-Term Disaster Recoveries From The 2015 Nepal Earthquakes: Household Vulnerabilities, Adaptive Capacities, And Change, Jeremy Spoon, Drew Gerkey, Alisa Rai

Anthropology Faculty Publications and Presentations

Disaster recovery is multidimensional and requires theoretical and methodological approaches from the interdisciplinary social sciences to illustrate short- and long-term recovery dynamics that can guide more informed and equitable policy and interventions. The 2015 Nepal earthquakes have had catastrophic impacts on historically marginalized ethnic groups and Indigenous households in rural locations, arising in the immediate aftermath and unfolding for years afterward. Analyzing factors that shape household recovery patterns can help identify vulnerabilities and adaptive capacities in addition to signaling potential future changes. We pursue this goal using survey data from 400 randomly selected households in 4 communities over 2 10-week …

Comparison Of Gis Methods For Estimating The Social Vulnerability In Response To Natural Hazards In The West Part Of The City Of Tualatin, Alex Troy

Geography Masters Research Papers

The influence of natural hazards on social vulnerability is an important topic in the risk analysis of natural disasters in the human-environment system. Due to the difficulty of directly measuring social vulnerability, composite indexes are used as a surrogate. Social vulnerability indexes attempt to characterize access to societal and local social services during or after disastrous events, using various indicators such as age, gender, ethnicity, socioeconomic status, housing organization, access to shelters, and medical facilities. Geographic information systems (GIS) are used for vulnerability analysis due to their visualization methods and demographic data analysis. However, limitations in GIS applications for social …

Pathos, Winter 2023, Portland State University. Student Publications Board

Pathos

Editor: Bret Steggell

Unequal Trust: Bottled Water Consumption, Distrust In Tap Water, And Economic And Racial Inequality In The United States, Daniel Jaffee

Sociology Faculty Publications and Presentations

Reviewing public health, nutrition, and social science literature, this article examines how bottled water consumption and spending in the United States differ along lines of race, ethnicity, and income, how these consumption patterns have changed in recent years, and how those shifts map onto perceptions of the safety and trustworthiness of tap water supplies, both before and since the Flint water disaster. It also addresses the differential impact of bottled water spending on household income. The findings challenge the truism that bottled water consumption is positively correlated with income, instead showing a bimodal racial and class consumption pattern that reflects …

Network Effects Of Disruptive Traffic Events, Juan Medina, Xiaoyue Cathy Liu

TREC Final Reports

Current traffic management strategies are based on expected conditions caused by recurring congestion (e.g., by time of day, day of week), and can be very effective when provisions are also given for reasonable variations from such expectations. However, traffic variations due to non-recurrent events (e.g., crashes) can be much larger and difficult to predict, making also challenging efforts to identify, measure, and forecast their disruptive effects. This project explores a proactive approach to deploy a tool for managing non-recurrent congestion by identifying and quantifying the effects of disruptive traffic events at a microscopic level using a comprehensive set of data …

Machine Learning Predictions Of Electricity Capacity, Marcus Harris, Elizabeth Kirby, Ameeta Agrawal, Rhitabrat Pokharel, Francis Puyleart, Martin Zwick

Complex Systems Faculty Publications and Presentations

This research applies machine learning methods to build predictive models of Net Load Imbalance for the Resource Sufficiency Flexible Ramping Requirement in the Western Energy Imbalance Market. Several methods are used in this research, including Reconstructability Analysis, developed in the systems community, and more well-known methods such as Bayesian Networks, Support Vector Regression, and Neural Networks. The aims of the research are to identify predictive variables and obtain a new stand-alone model that improves prediction accuracy and reduces the INC (ability to increase generation) and DEC (ability to decrease generation) Resource Sufficiency Requirements for Western Energy Imbalance Market participants. This …

New Lidar System Pinpoints Pedestrian Behavior To Improve Eficiency And Safety At Intersections, Taylor Li, Sirisha M. Kothuri, Xianfeng Terry Yang

TREC Project Briefs

Pedestrian safety is critical to improving walkability in cities. To that end, NITC researchers have developed a system for collecting pedestrian behavior data using LiDAR sensors. Tested at two intersections in Texas and soon to be tested at another in Salt Lake City, Utah, the new software created by a multi-university research team is able to reliably observe pedestrian behavior and can help reduce conflicts between pedestrians and vehicles at signalized intersections. The Utah Department of Transportation (UDOT) is already working on implementing this new LiDAR system to improve data collection at intersections.

Educational Myths Of An American Empire: Colonial Narratives And The Meriam Report, Madhu Narayanan

Educational Leadership and Policy Faculty Publications and Presentations

The Meriam Report is a remarkable historical artifact of the United States' colonial project. The idea of a stronger nation through education embodied in the report betrays the report's imperial core. The report's authors express moral outrage at the failure of the United States to respect the human dignity of Native Americans. To absolve these failures, the report repeatedly looks to education as the way forward. My interest is in the discursive construction of that argument, specifically how new discourses of progress, scientific management, and modern administrative principles were used to justify expansion of the federal government and solidify the …

Spartina Species Invasive In Coastal Salt Marshes And Mudflats Of The Pacific Northwest, Gabriel E. Campbell, Ashley Newcomb, Jacob Rose

Center for Lakes and Reservoirs Publications and Presentations

Spartina (cordgrass) species are invasive plants that threaten the Pacific Northwest of the United States of America. This document contains a literature review, map of known occurrences, and identification guide of Spartina species invasive in coastal salt marshes and mudflats of the Pacific Northwest.

Aquatic Invasive Species Survey And Treatment On Lake Umatilla And Lake Celilo 2022-2023 Report, Gabriel E. Campbell, Jacob Rose

Center for Lakes and Reservoirs Publications and Presentations

Flowering Rush (Butomus umbellatus) is an invasive aquatic plant in the Pacific Northwest that threatens salmon habitat. The Center for Lakes and Reservoirs staff surveyed for this and other aquatic species from 2022 and 2023 in the Columbia River in Lake Umatilla and Lake Celilo. This document summarizes their survey efforts including their protocols, data, and small-scale removal efforts.