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The Stadyn Programming Language, Francisco Ortin, Miguel Garcia, Baltasar Garcia Perez-Schofield, Jose Quiroga Jan 2022

The Stadyn Programming Language, Francisco Ortin, Miguel Garcia, Baltasar Garcia Perez-Schofield, Jose Quiroga

Department of Mathematics Publications

Hybrid static and dynamic typing languages are aimed at combining the benefits of both kinds of languages: the early type error detection and compile-time optimizations of static typing, together with the runtime adaptability of dynamically typed languages. The StaDyn programming language is a hybrid typing language, whose main contribution is the utilization of the type information gathered by the compiler to improve compile-time error detection and runtime performance. StaDyn has been evaluated as the hybrid typing language for the .Net platform with the highest runtime performance and the lowest memory consumption. Although most optimizations are performed statically by the compiler, …

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¿Dónde Están? Latin American Representation In Theatre For Young Audiences, Ximena Gonzalez Toledo Jan 2022

¿Dónde Están? Latin American Representation In Theatre For Young Audiences, Ximena Gonzalez Toledo

Electronic Theses and Dissertations, 2020-2023

¿Dónde están los Latinos? As a Latina theatre practitioner born and raised in Venezuela now studying Theatre for Young Audiences (TYA) in the United States, I perceive a generalization and oversimplification of Latin American culture or culturally specific pieces across available TYA dramatic literature and other forms of children's entertainment, with Mexican culture as a monolith for all Hispanics and Latin Americans. My thesis asks: What tropes exist within the representation of Latin American cultures? What might those tropes offer about authentic representation, and opportunities for broadened representation, within the field of TYA? My research pulls from two formative experiences …

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Designing The Electrochemical Interface To Enable Lithium Metal Batteries, Supriya Koul Jan 2022

Designing The Electrochemical Interface To Enable Lithium Metal Batteries, Supriya Koul

Electronic Theses and Dissertations, 2020-2023

Although Li-ion battery is one of the most widely used energy storage devices, there have been extensive efforts to push its limit to meet the ever-increasing demands to improve its energy density for applications such as electric vehicles, portable electronics, and grid storages. Here, Li metal anode plays a key role in the next generation energy storage devices, ultimately enabling the anode-free configuration. However, there are major challenges that need to be overcome for a successful deployment of anode-free batteries. These include designing a competitive SEI, low Coulombic efficiency, and the formation of dendrites. To realize an effective anode-free configuration …

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How Small Organic Osmolytes Modulate Actin Filament Assembly Kinetics And Mechanics, Pavlo Kravchuk Jan 2022

How Small Organic Osmolytes Modulate Actin Filament Assembly Kinetics And Mechanics, Pavlo Kravchuk

Electronic Theses and Dissertations, 2020-2023

Actin filament assembly and mechanics are crucial for muscle contraction, maintenance of cell structure, motility, and division. Actin filament assembly occurs in a crowded intracellular environment consisting of various types of molecules, including small organic molecules known as osmolytes. Ample evidence highlights the protective functions of osmolytes such as trimethylamine-N-oxide (TMAO), including their effects on protein stability and their ability to counteract cellular osmotic stress. Recently, TMAO has been shown to counteract the denaturing effects of urea on actin filament assembly based on bulk fluorescence assays. Yet, how TMAO affects individual actin filament assembly dynamics and mechanics is not well …

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Interactions Of Aerosol Droplets With Ventilated Airflows In The Context Of Airborne Pathogen Transmission, Steven Schroeder Jan 2022

Interactions Of Aerosol Droplets With Ventilated Airflows In The Context Of Airborne Pathogen Transmission, Steven Schroeder

Electronic Theses and Dissertations, 2020-2023

This multidisciplinary study provides a comprehensive visualization of airborne aerosols and droplets coming into contact with a crossflow of moving air utilizing both experimental particle measuring methods and multiphase computational fluids dynamics (CFD). The aim of this research is to provide a Eulerian visualization of how ventilation can alter the position and density of an aerosol cloud, with the goal of applying this information to our understanding of social distancing ranges within outdoor settings and ventilated rooms. The results indicate that even minor perpendicular crossflows across the trajectory of an aerosol cloud can greatly reduce both the linear displacement and …

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Innovation Resistance? Understanding Officer Attitudes Toward Police Innovation, Justin Smith Jan 2022

Innovation Resistance? Understanding Officer Attitudes Toward Police Innovation, Justin Smith

Electronic Theses and Dissertations, 2020-2023

Over the years, innovations such as community-oriented policing, problem-oriented policing, and crime analysis have helped police agencies control, reduce, and prevent crime and disorder, and improve police and community relations. However, research shows that some officers are resistant to using these innovations in practice. Few studies have examined the causal mechanisms behind innovation resistance. This doctoral dissertation details a study that utilized a mixed method approach to partially test a framework that encompassed two theories to explain officer resistance to innovation: The Model of Consumer Resistance to Innovation from the consumer psychology and marketing fields (Ram & Sheth, 1989), and …

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Investigating A Psychoeducational Job Search Intervention Among Unemployed Individuals, Galaxina Wright Jan 2022

Investigating A Psychoeducational Job Search Intervention Among Unemployed Individuals, Galaxina Wright

Electronic Theses and Dissertations, 2020-2023

The purpose of this study was to investigate the impact of Project P.A.T.H., a job search psychoeducation intervention, on unemployed individuals' levels of job search knowledge, job search self-efficacy, employment hope, and group therapeutic factors. To contribute to the knowledgebase in the counseling and counselor education fields, the researcher examined (a) if Project P.A.T.H. influences job search knowledge, job search self-efficacy, and employment hope over time; (b) the potential relationship between outcome variables and participant demographics; and (c) the potential relationship between the outcome variables and the group therapeutic factors. A multi-group pretest-posttest quasi-experimental design was utilized in this study. …

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Towards Leveraging Sparse Infrared Datasets For Multiple View Synthesis, Few Shot Learning And Background Invariant Recognition, Maliha Arif Jan 2022

Towards Leveraging Sparse Infrared Datasets For Multiple View Synthesis, Few Shot Learning And Background Invariant Recognition, Maliha Arif

Electronic Theses and Dissertations, 2020-2023

This dissertation presents a study of various machine learning techniques for recognizing vehicular objects in infrared images. State of the art methods for computer vision have not been widely explored for this part of the electromagnetic spectrum (EM). Challenges that arise due to the dearth of infrared training images, terrain clutter, and thermal phenomenology have not been fully addressed. Infrared dataset collection and annotation is both difficult and expensive. What if there is a way we can generate infrared images and diminish the need for collecting data out in the field? Our first research study encompasses an encoder-decoder model that …

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The Concept Of The Populus Romanus In The Late Republic And Augustan Period, Nicklaus Bobertz Jan 2022

The Concept Of The Populus Romanus In The Late Republic And Augustan Period, Nicklaus Bobertz

Electronic Theses and Dissertations, 2020-2023

This study was undertaken to explore how the concept of the definition of Roman identity changed over the course of the late Roman Republic and into the early Empire culminating with the death of Augustus in 14 AD. Since the 1970's the historiography surrounding the late Roman Republic and early Empire has had to contend with what exactly the populus Romanus and its power basis was. From these questions concepts of power, gender, group formation, and even nationalism have emerged. However, few academics have targeted the nucleus that all of these questions revolve around, how did the identity of the …

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Integration Of Video Game Play And Storytelling In Theme Park Environmental Design, Alexandria Marcello Jan 2022

Integration Of Video Game Play And Storytelling In Theme Park Environmental Design, Alexandria Marcello

Electronic Theses and Dissertations, 2020-2023

This thesis presents a visual design exploration of video game storytelling in physical themed environments, specifically, theme parks. The theme park industry has only recently begun to tap into the video game market, with seasonal attractions and events in parks, and the first fully video game dedicated land, Super Nintendo World at Universal Studios Japan. As theme park companies further seek out the most popular and profitable video game Intellectual Properties (IP), it will be imperative to create the most authentic video game experiences possible. The guest experience will hinge upon the successful adaptation of gameplay; creating the story around …

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Castle Of Unknowing: An Immersive Virtual Reality Experience, Damian Thorn-Hauswirth Jan 2022

Castle Of Unknowing: An Immersive Virtual Reality Experience, Damian Thorn-Hauswirth

Electronic Theses and Dissertations, 2020-2023

Castle of Unknowing is a rendered virtual reality (VR) experience presented as visual poem. As VR is a nascent technology, content is still limited, and methods of storytelling are not yet formalized. My film seeks to expand the breadth of what types of narratives are being told with this medium. The project is an immersive, experiential narrative imbued with symbolism. The viewer moves through a fixed sequence as they are taken on a journey which mixes elements of sci-fi, fairy tale, and surrealism. It utilizes compelling visuals and sound instead of traditional narrative to evoke an emotional response within the …

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Antisocial Personality Disorder: A Theoretical Approach Utilizing Three Dimensions Of Power Analysis, Timothy J. Nguyen, Tara Zolnikov Jan 2022

Antisocial Personality Disorder: A Theoretical Approach Utilizing Three Dimensions Of Power Analysis, Timothy J. Nguyen, Tara Zolnikov

Faculty Research, Scholarly, and Creative Activity

Antisocial Personality Disorder (ASPD) is often associated with high costs and burden to the rest of society; however, it remains a disorder with no evidence of effective traditional psychological interventions. This theoretical study aimed to analyze the phenomenon of power and how it may influence the conceptualization of ASPD. Data was collected through a comprehensive and systematic review of the current ASPD literature. Findings suggested ASPD as severely conceptually flawed, highly imbalanced in terms of power dynamics between professionals and people diagnosed with ASPD, absent of participants’ voices, absent of any effective traditional psychotherapy interventions, disproportionately focused on deficit-oriented strategies …

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Verification Of Risc-V Processor Beyond Rv32i Isa, Yamini Santosh Awasthi, Aishwarya Mahesh, Lili He Jan 2022

Verification Of Risc-V Processor Beyond Rv32i Isa, Yamini Santosh Awasthi, Aishwarya Mahesh, Lili He

Faculty Research, Scholarly, and Creative Activity

The RISC-V processor's open-source architecture provides designers with flexibility in implementing the architecture for a variety of applications. The same advantage, however, makes the verification process difficult because all variations must be verified. The proposed project will create a verification environment for the extended RISC V architecture. RISC-V supports both the "M" standard extension for integer multiplication and division and the "Zicsr" standard extension for control and status register instructions. The above-mentioned ISA classes will be tested using the RV32I ISA-based DUT with a UVM environment around the DUT to verify the M and Zicsr functionalities. The M and Zicsr …

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Verification Of Nand Flash Controller, M. J. Prajwala, Kush Desai, Lili He Jan 2022

Verification Of Nand Flash Controller, M. J. Prajwala, Kush Desai, Lili He

Faculty Research, Scholarly, and Creative Activity

NAND structure-based Flash memory-made SSDs are turning more popular than HDDs in several applications notably in consumer microelectronics devices and enterprise memory storage devices. The NAND controller is the heart of this system. It acts as a bridge for communication between the host system (usually the Personal Computer system) and the NAND Flash memory storage device. Unarguably, it can be said that it is an essential part of the NAND flash-based memory device and it helps to manage the directory containing file systems. The controller is also accountable for managing system features like wear levelling, error code correction (through ECC), …

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“Don't Downvote A$$$$$$S!!”: An Exploration Of Reddit's Advice Communities, Emily Cannon, Bianca Crouse, Souvick Ghosh, Nicholas Rihn, Kristen Chua Jan 2022

“Don't Downvote A$$$$$$S!!”: An Exploration Of Reddit's Advice Communities, Emily Cannon, Bianca Crouse, Souvick Ghosh, Nicholas Rihn, Kristen Chua

Faculty Research, Scholarly, and Creative Activity

Advice forums are a crowdsourced way to reinforce cultural norms and moral behavior. Sites like Reddit contain massive amounts of natural language human interaction, with rules and norms unique to each individual subreddit community. To explore this data, we created a dataset with top 1000 posts from each of two such forums, r/AmItheAsshole and r/relationships, and extracted natural language features including sentiment, similarity, word frequency, and demographics using both algorithmic and manual methods. Further, we developed a method to extract demographic information from the subreddits, examined how the post authors' self-disclosures reflect the unique communities in which their posts are …

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The League Of Nations, Traffic In Women And The Transnationalization Of Criminal Law, Paul Knepper Jan 2022

The League Of Nations, Traffic In Women And The Transnationalization Of Criminal Law, Paul Knepper

Faculty Research, Scholarly, and Creative Activity

During the 1920s, the Advisory Committee on the Traffic in Women, of the League of Nations operated as a legal regime in the transnationalization of criminal law. This can be seen in its management of the first >worldwide< investigation into the traffic in women which sent undercover investigators to more than a 100 countries across Europe, the Americas, and the Mediterranean. The Advisory Committee initiated >trafficking< as a transnational crime and advanced the understanding of transnational criminal law beyond concepts of professional criminality.

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Race Car Aerodynamics Simulation And Transmitted Tire Reaction Forces, Mark T.J. Lin, Periklis Papadopoulos Jan 2022

Race Car Aerodynamics Simulation And Transmitted Tire Reaction Forces, Mark T.J. Lin, Periklis Papadopoulos

Faculty Research, Scholarly, and Creative Activity

Often in Computational Fluid Dynamics integral forces and restoring moments are calculated, but the location where they should be applied may not always be clear. This is because the location is not intuitive: it is dependent on the vehicle’s velocity and its orientation (e.g. sideslip angle). A technique has been developed to translate the aerodynamic forces to the reaction forces on the vehicle’s tires. In this study, CFD simulation is performed with a 7.5° yaw to look at the effect of cornering. To understand aerodynamic effect on vehicle dynamics one must know the location at which this force is applied. …

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Control-Core: A Framework For Simulation And Design Of Closed-Loop Peripheral Neuromodulation Control Systems, Pradeeban Kathiravelu, Mark Arnold, Jake Fleischer, Yuyu Yao, Shubham Awasthi, Aviral Kumar Goel, Andrew Branen, Parisa Sarikhani, Gautam Kumar, Mayuresh V. Kothare, Babak Mahmoudi Jan 2022

Control-Core: A Framework For Simulation And Design Of Closed-Loop Peripheral Neuromodulation Control Systems, Pradeeban Kathiravelu, Mark Arnold, Jake Fleischer, Yuyu Yao, Shubham Awasthi, Aviral Kumar Goel, Andrew Branen, Parisa Sarikhani, Gautam Kumar, Mayuresh V. Kothare, Babak Mahmoudi

Faculty Research, Scholarly, and Creative Activity

Closed-loop Vagus Nerve Stimulation (VNS) based on physiological feedback signals is a promising approach to regulate organ functions and develop therapeutic devices. Designing closed-loop neurostimulation systems requires simulation environments and computing infrastructures that support i) modeling the physiological responses of organs under neuromodulation, also known as physiological models, and ii) the interaction between the physiological models and the neuromodulation control algorithms. However, existing simulation platforms do not support closed-loop VNS control systems modeling without extensive rewriting of computer code and manual deployment and configuration of programs. The CONTROL-CORE project aims to develop a flexible software platform for designing and implementing …

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Presence 5 For Racial Justice Workshop: Fostering Dialogue Across Medical Education To Disrupt Anti-Black Racism In Clinical Encounters, Megha Shankar, Kelsey Henderson, Raquel Garcia, Gabrielle Li, Ke Andrea Titer, Rhonda Graves Acholonu, Utibe R. Essien, Cati Brown-Johnson, Joy Cox, Jonathan G. Shaw, Marie Christine Haverfield, Kenji Taylor, Sonoo Thadaney Israni, Donna Zulman Jan 2022

Presence 5 For Racial Justice Workshop: Fostering Dialogue Across Medical Education To Disrupt Anti-Black Racism In Clinical Encounters, Megha Shankar, Kelsey Henderson, Raquel Garcia, Gabrielle Li, Ke Andrea Titer, Rhonda Graves Acholonu, Utibe R. Essien, Cati Brown-Johnson, Joy Cox, Jonathan G. Shaw, Marie Christine Haverfield, Kenji Taylor, Sonoo Thadaney Israni, Donna Zulman

Faculty Research, Scholarly, and Creative Activity

Introduction: Anti-Black racism has strong roots in American health care and medical education. While curricula on social determinants of health are increasingly common in medical training, curricula directly addressing anti-Black racism are limited. Existing frameworks like the Presence 5 framework for humanism in medicine can be adapted to develop a novel workshop that promotes anti-racism communication. Methods: We performed a literature review of anti-racism collections and categorized anti-racism communication practices using the Presence 5 framework to develop the Presence 5 for Racial Justice Workshop. Implementation included an introductory didactic, a small-group discussion, and a large-group debrief. Participants evaluated the workshop …

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Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park Jan 2022

Flexible And Robust Real-Time Intrusion Detection Systems To Network Dynamics, Kicho Yu, Khanh Nguyen, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Deep learning-based intrusion detection systems have advanced due to their technological innovations such as high accuracy, automation, and scalability to develop an effective network intrusion detection system (NIDS). However, most of the previous research has focused on model generation through intensive analysis of feature engineering instead of considering real environments. They have limitations to applying the previous methods for a real network environment to detect real-time network attacks. In this paper, we propose a new flexible and robust NIDS based on Recurrent Neural Network (RNN) with a multi-classifier to generate a detection model in real time. The proposed system adaptively …

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Spartan Face Mask Detection And Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, Jerry Gao Jan 2022

Spartan Face Mask Detection And Facial Recognition System, Ziwei Song, Kristie Nguyen, Tien Nguyen, Catherine Cho, Jerry Gao

Faculty Research, Scholarly, and Creative Activity

According to the World Health Organization (WHO), wearing a face mask is one of the most effective protections from airborne infectious diseases such as COVID-19. Since the spread of COVID-19, infected countries have been enforcing strict mask regulation for indoor businesses and public spaces. While wearing a mask is a requirement, the position and type of the mask should also be considered in order to increase the effectiveness of face masks, especially at specific public locations. However, this makes it difficult for conventional facial recognition technology to identify individuals for security checks. To solve this problem, the Spartan Face Detection …

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Markov Decision Process For Modeling Social Engineering Attacks And Finding Optimal Attack Strategies, Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones Jan 2022

Markov Decision Process For Modeling Social Engineering Attacks And Finding Optimal Attack Strategies, Faranak Abri, Jianjun Zheng, Akbar Siami Namin, Keith S. Jones

Faculty Research, Scholarly, and Creative Activity

It is important to comprehend the attacker's behavior and capacity in order to build a stronger fortress and thus be able to protect valuable assets more effectively. Prior to launching technical and physical attacks, an attacker may enter the reconnaissance stage and gather sensitive information. To collect such valuable data, one of the most effective approaches is through conducting social engineering attacks, borrowing techniques from deception theory. As a result, it is of utmost importance to understand when an attacker behaves truthfully and when the attacker opts to be deceitful. This paper models attacker's states using the Markov Decision Process …

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Predicting Cervical Cancer Biopsy Results Using Demographic And Epidemiological Parameters: A Custom Stacked Ensemble Machine Learning Approach, Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, S. Swathi, Saptarshi Sengupta Jan 2022

Predicting Cervical Cancer Biopsy Results Using Demographic And Epidemiological Parameters: A Custom Stacked Ensemble Machine Learning Approach, Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, S. Swathi, Saptarshi Sengupta

Faculty Research, Scholarly, and Creative Activity

The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide. This gynecological carcinoma causes many deaths, even though it can be treated by removing malignant tissues at a preliminary stage. In many developing countries, patients do not undertake medical examinations due to the lack of awareness, hospital resources and high testing costs. Hence, it is vital to design a computer aided diagnostic method which can screen cervical cancer patients. In this research, we predict the probability risk of contracting this deadly disease using a custom stacked ensemble machine learning approach. The technique combines the results of several machine …

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Malview: Interactive Visual Analytics For Comprehending Malware Behavior, Huyen N. Nguyen, Faranak Abri, Vung Pham, Moitrayee Chatterjee, Akbar Siami Namin, Tommy Dang Jan 2022

Malview: Interactive Visual Analytics For Comprehending Malware Behavior, Huyen N. Nguyen, Faranak Abri, Vung Pham, Moitrayee Chatterjee, Akbar Siami Namin, Tommy Dang

Faculty Research, Scholarly, and Creative Activity

Malicious applications are usually comprehended through two major techniques, namely static and dynamic analyses. Through static analysis, a given malicious program is parsed, and some representative artifacts (e.g., control-flow graphs) are produced without any execution; whereas, the given malicious application needs to be executed when conducting dynamic analysis. These two mainstream techniques for analyzing the given software are effective in detecting certain classes of malware. More specifically, through static analysis, the patterns and signature of the malware are exposed, helping in detecting any known malicious payload hidden in or injected into the code. On the other hand, behavioral and run-time …

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In-Vehicle Human Machine Interface: Investigating The Effects Of Tactile Displays On Information Presentation In Automated Vehicles, Kimberly D. Martinez, Gaojian Huang Jan 2022

In-Vehicle Human Machine Interface: Investigating The Effects Of Tactile Displays On Information Presentation In Automated Vehicles, Kimberly D. Martinez, Gaojian Huang

Faculty Research, Scholarly, and Creative Activity

Background: Semi-autonomous vehicles still require human drivers to take over when the automated systems can no longer perform the driving task. Objective: The goal of this study was to design and test the effects of six meaningful tactile signal types, representing six driving scenarios (i.e., navigation, speed, surrounding vehicles, over the speed limit, headway reductions, and pedestrian status) respectively, and two pattern durations (lower and higher urgencies), on drivers' perception and performance during automated driving. Methods: Sixteen volunteers participated in an experiment utilizing a medium-fidelity driving simulator presenting vibrotactile signals via 20 tactors embedded in the seat back, pan, and …

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Prediction Of Length Of Stay In The Emergency Department For Covid-19 Patients: A Machine Learning Approach, Egbe Etu Etu, Leslie Monplaisir, Suzan Arslanturk, Sara Masoud, Celestine Aguwa, Ihor Markevych, Joseph Miller Jan 2022

Prediction Of Length Of Stay In The Emergency Department For Covid-19 Patients: A Machine Learning Approach, Egbe Etu Etu, Leslie Monplaisir, Suzan Arslanturk, Sara Masoud, Celestine Aguwa, Ihor Markevych, Joseph Miller

Faculty Research, Scholarly, and Creative Activity

The coronavirus disease (COVID-19) outbreak has become a global public health threat. The influx of COVID-19 patients has prolonged the length of stay (LOS) in the emergency department (ED) in the United States. Our objective is to develop a reliable prediction model for COVID-19 patient ED LOS and identify clinical factors, such as age and comorbidities, associated with LOS within a '4-hour target.' Data were collected from an urban, demographically diverse hospital in Detroit for all COVID-19 patients' ED presentations from March 16 to December 29, 2020. We trained four machine learning models, namely logistic regression (LR), gradient boosting (GB), …

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On The Integer-Antimagic Spectra Of Non-Hamiltonian Graphs, Wai Chee Shiu, Richard M. Low Jan 2022

On The Integer-Antimagic Spectra Of Non-Hamiltonian Graphs, Wai Chee Shiu, Richard M. Low

Faculty Research, Scholarly, and Creative Activity

Let A be a nontrivial abelian group. A connected simple graph G = (V, E) is A-antimagic if there exists an edge labeling f : E(G) → A \ {0} such that the induced vertex labeling f+ : V (G) → A, defined by f+(v) = Σ {f(u, v): (u, v) ∈ E(G)}, is a one-to-one map. In this paper, we analyze the group-antimagic property for Cartesian products, hexagonal nets and theta graphs.

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Discrimination Experiences During Covid-19 Among A National, Multi-Lingual, Community-Based Sample Of Asian Americans And Pacific Islanders: Compass Findings, Van M. Ta Park, Marcelle M. Dougan, Oanh L. Meyer, Bora Nam, Marian Tzuang, Linda G. Park, Quyen Vuong, Joon Bang, Janice Y. Tsoh Jan 2022

Discrimination Experiences During Covid-19 Among A National, Multi-Lingual, Community-Based Sample Of Asian Americans And Pacific Islanders: Compass Findings, Van M. Ta Park, Marcelle M. Dougan, Oanh L. Meyer, Bora Nam, Marian Tzuang, Linda G. Park, Quyen Vuong, Joon Bang, Janice Y. Tsoh

Faculty Research, Scholarly, and Creative Activity

Reports of escalated discrimination among Asian Americans and Pacific Islanders (AAPIs) due to COVID-19 are alarming, making this a public health priority. However, there are limited empirical studies on the scope and impact of COVID-19-related discrimination among AAPIs. Using the COVID-19 Effects on the Mental and Physical Health of AAPI Survey Study (COMPASS) data (N = 4971; survey period: October 2020–February 2021), which is a U.S.-wide multi-lingual survey, we examined the prevalence of, and factors associated with discrimination experiences attributable to being an AAPI during the COVID-19 pandemic. Overall, 60.7% reported experiencing discrimination; the group prevalence ranged from 80.0% (Hmong) …

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Efficient Routing Protection Algorithm Based On Optimized Network Topology, Haijun Geng, Zikun Jin, Jiangyuan Yao, Han Zhang, Zhiguo Hu, Bo Yang, Yingije Guo, Wei Wang, Qidong Zhang, Guoao Duan Jan 2022

Efficient Routing Protection Algorithm Based On Optimized Network Topology, Haijun Geng, Zikun Jin, Jiangyuan Yao, Han Zhang, Zhiguo Hu, Bo Yang, Yingije Guo, Wei Wang, Qidong Zhang, Guoao Duan

Faculty Research, Scholarly, and Creative Activity

Network failures are unavoidable and occur frequently. When the network fails, intra-domain routing protocols deploying on the Internet need to undergo a long convergence process. During this period, a large number of messages are discarded, which results in a decline in the user experience and severely affects the quality of service of Internet Service Providers (ISP). Therefore, improving the availability of intra-domain routing is a trending research question to be solved. Industry usually employs routing protection algorithms to improve intra-domain routing availability. However, existing routing protection schemes compute as many backup paths as possible to reduce message loss due to …

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Impact Of Location Spoofing Attacks On Performance Prediction In Mobile Networks, Nikhil Sai Kanuri, Sang Yoon Chang, Younghee Park, Jonghyun Kim, Jinoh Kim Jan 2022

Impact Of Location Spoofing Attacks On Performance Prediction In Mobile Networks, Nikhil Sai Kanuri, Sang Yoon Chang, Younghee Park, Jonghyun Kim, Jinoh Kim

Faculty Research, Scholarly, and Creative Activity

Performance prediction in wireless mobile networks is essential for diverse purposes in network management and operation. Particularly, the position of mobile devices is crucial to estimating the performance in the mobile communication setting. With its importance, this paper investigates mobile communication performance based on the coordinate information of mobile devices. We analyze a recent 5G data collection and examine the feasibility of location-based performance prediction. As location information is key to performance prediction, the basic assumption of making a relevant prediction is the correctness of the coordinate information of devices given. With its criticality, this paper also investigates the impact …

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