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Predicting Suicidal And Self-Injurious Events In A Correctional Setting Using Ai Algorithms On Unstructured Medical Notes And Structured Data, Hongxia Lu, Alex Barrett, Albert Pierce, Jianwei Zheng, Yun Wang, Chun Chiang, Cyril Rakovski Jan 2023

Predicting Suicidal And Self-Injurious Events In A Correctional Setting Using Ai Algorithms On Unstructured Medical Notes And Structured Data, Hongxia Lu, Alex Barrett, Albert Pierce, Jianwei Zheng, Yun Wang, Chun Chiang, Cyril Rakovski

Mathematics, Physics, and Computer Science Faculty Articles and Research

Suicidal and self-injurious incidents in correctional settings deplete the institutional and healthcare resources, create disorder and stress for staff and other inmates. Traditional statistical analyses provide some guidance, but they can only be applied to structured data that are often difficult to collect and their recommendations are often expensive to act upon. This study aims to extract information from medical and mental health progress notes using AI algorithms to make actionable predictions of suicidal and self-injurious events to improve the efficiency of triage for health care services and prevent suicidal and injurious events from happening at California's Orange County Jails. …

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Reconnaissance Of Landslides And Debris Flows Associated With The July 2022 Flooding In Eastern Kentucky, Matt M. Crawford, Zhenming Wang, Seth Carpenter, Jonathan Schmidt, Hudson J. Koch, Jason M. Dortch Jan 2023

Reconnaissance Of Landslides And Debris Flows Associated With The July 2022 Flooding In Eastern Kentucky, Matt M. Crawford, Zhenming Wang, Seth Carpenter, Jonathan Schmidt, Hudson J. Koch, Jason M. Dortch

Report of Investigations--KGS

Between July 25 and July 30, 2022, a series of convective storms generated approximately 14–16 inches of rainfall across parts of eastern Kentucky, predominately in Clay, Leslie, Perry, Breathitt, Knott, and Letcher Counties. The peak rainfall occurred on the evening of July 27 and the morning of July 28, with the hardest-hit areas experiencing more than 10 inches in a 24-hour period. The historic rainfall led to catastrophic flooding along many rivers and streams, but also triggered widespread landslides and debris flows that damaged roads, homes, property, and other infrastructure. Once initial relief and recovery efforts were established, the Kentucky …

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Cybersecurity Continuity Risks: Lessons Learned From The Covid-19 Pandemic, Tyler Fezzey, John H. Batchelor, Gerald F. Burch, Randall Reid Jan 2023

Cybersecurity Continuity Risks: Lessons Learned From The Covid-19 Pandemic, Tyler Fezzey, John H. Batchelor, Gerald F. Burch, Randall Reid

Journal of Cybersecurity Education, Research and Practice

The scope and breadth of the COVID-19 pandemic were unprecedented. This is especially true for business continuity and the related area of cybersecurity. Historically, business continuity and cybersecurity are viewed and researched as separate fields. This paper synthesizes the two disciplines as one, thus pointing out the need to address both topics simultaneously. This study identifies blind spots experienced by businesses as they navigated through the difficult time of the pandemic by using data collected during the height of the COVID-19 pandemic. One major shortcoming was that most continuity and cybersecurity plans focused on single-axis threats. The COVID-19 pandemic resulted …

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Making Minnesota A Model For Energy Storage Policy, Max Meyer Jan 2023

Making Minnesota A Model For Energy Storage Policy, Max Meyer

Minnesota Journal of Law, Science & Technology

No abstract provided.

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The View From Ventress - 2021-22 Academic Year, University Of Mississippi, College Of Liberal Arts Jan 2023

The View From Ventress - 2021-22 Academic Year, University Of Mississippi, College Of Liberal Arts

Liberal Arts Newsletters

News from the College of Liberal Arts

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Not A Waste: Wastewater Surveillance To Enhance Public Health, Anna Gitter, Jeremiah Oghuan, Anuja Rajendra Godbole, Carlos A. Chavarria, Carlos Monserrat, Tao Hu, Yun Wang, Anthony W. Maresso, Blake M. Hanson, Kristina D. Mena, Fuqing Wu Jan 2023

Not A Waste: Wastewater Surveillance To Enhance Public Health, Anna Gitter, Jeremiah Oghuan, Anuja Rajendra Godbole, Carlos A. Chavarria, Carlos Monserrat, Tao Hu, Yun Wang, Anthony W. Maresso, Blake M. Hanson, Kristina D. Mena, Fuqing Wu

Pharmacy Faculty Articles and Research

Domestic wastewater, when collected and evaluated appropriately, can provide valuable health-related information for a community. As a relatively unbiased and non-invasive approach, wastewater surveillance may complement current practices towards mitigating risks and protecting population health. Spurred by the COVID-19 pandemic, wastewater programs are now widely implemented to monitor viral infection trends in sewersheds and inform public health decision-making. This review summarizes recent developments in wastewater-based epidemiology for detecting and monitoring communicable infectious diseases, dissemination of antimicrobial resistance, and illicit drug consumption. Wastewater surveillance, a quickly advancing Frontier in environmental science, is becoming a new tool to enhance public health, improve …

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Building Coleus Academy, Janessa Unseld Jan 2023

Building Coleus Academy, Janessa Unseld

Mahurin Honors College Capstone Experience/Thesis Projects

Coleus Academy, a nonprofit e-learning platform, has been created to address the deficits left by the de-emphasis and, at times, outright omission of practical skill-centric education in American curriculums. There exists a gap between the degree of knowledge necessary to engage with adult life and the extent of that knowledge that is actually possessed by emerging adults. Prominent legislations are among the numerous efforts to address this issue. However, there is a deeply fractured market where resources are proving too expensive, too sparse, or hyper-specific to the point of limited usability. Compounded with disparities in when, where, and to whom …

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When Do Data Collection And Use Become A Matter Of Concern? A Cross-Cultural Comparison Of U.S. And Dutch Privacy Attitudes, Jessica Vitak, Yuting Liao, Anouk Mols, Daniel Trottier, Michael Zimmer, Priya C. Kumar, Jason Pridmore Jan 2023

When Do Data Collection And Use Become A Matter Of Concern? A Cross-Cultural Comparison Of U.S. And Dutch Privacy Attitudes, Jessica Vitak, Yuting Liao, Anouk Mols, Daniel Trottier, Michael Zimmer, Priya C. Kumar, Jason Pridmore

Computer Science Faculty Research and Publications

Around the world, people increasingly generate data through their everyday activities. Much of this happens unwittingly through sensors, cameras, and other surveillance tools on roads, in cities, and at the workplace. However, how individuals and governments think about privacy varies significantly around the world. In this article, we explore differences between people’s attitudes toward privacy and data collection practices in the United States and the Netherlands, two countries with very different regulatory approaches to governing consumer privacy. Through a factorial vignette survey deployed in the two countries, we identify specific contextual factors associated with concerns regarding how personal data are …

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A Mathematical Model Of Juvenile Delinquency In The New York State, Oluwasegun Micheal Ibrahim Jan 2023

A Mathematical Model Of Juvenile Delinquency In The New York State, Oluwasegun Micheal Ibrahim

Articles

This report presents a mathematical model of juvenile delinquency in the New York State. In particular, we develop a juvenile delinquency system of non-linear differential equations using the mathematical epidemiology framework. In constructing this model, we assume that juvenile delinquency can be studied as a socially infectious disease. The stability of the juvenile delinquency-free equilibrium of the model is examined using the standard non-linear dynamical systems theory technique. We carried out a data fitting based on real-life data from the New York State Criminal Justice Services. The research result reveals that the formulated model conforms with the available data and …

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Low-Head Dams (Aka Drowning Machines) Are Deadly: An Analysis Of Liability For Landowners And States, And Recommendations For Legislation And Warning Signs, Forrest R. Hansen, Rollin H. Hotchkiss Jan 2023

Low-Head Dams (Aka Drowning Machines) Are Deadly: An Analysis Of Liability For Landowners And States, And Recommendations For Legislation And Warning Signs, Forrest R. Hansen, Rollin H. Hotchkiss

Kentucky Journal of Equine, Agriculture, & Natural Resources Law

No abstract provided.

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Trends In Cyanotoxin Production Potential In China Lake: An Edna Analysis Of Microcystis And Dolichospermum And The Environmental Drivers Of Cyanotoxin Production, Gennifer M. Rubin Jan 2023

Trends In Cyanotoxin Production Potential In China Lake: An Edna Analysis Of Microcystis And Dolichospermum And The Environmental Drivers Of Cyanotoxin Production, Gennifer M. Rubin

Honors Theses

Episodes of cyano-harmful algal blooms (cyano-HABs) are hypothesized to be exacerbated by the effects of climate change. However, the dynamics of the interactions between elements of climate change and toxigenic cyanobacteria proliferation are not well defined. China Lake is the drinking water source for 7 municipalities in the Kennebec County and is one of many lakes in central Maine that has been subjected to high levels of cyano-HABs and microcystin toxin contamination in recent years. Monitoring the toxicity of these blooms in relation to various aspects of climate change may lead to identification of the major drivers of microcystin production …

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Uit-Adrone: A Novel Drone Dataset For Traffic Anomaly Detection, Tung Minh Tran, Tu N. Vu, Tam Nguyen, Khang Nguyen Jan 2023

Uit-Adrone: A Novel Drone Dataset For Traffic Anomaly Detection, Tung Minh Tran, Tu N. Vu, Tam Nguyen, Khang Nguyen

Computer Science Faculty Publications

Anomaly detection plays an increasingly important role in video surveillance and is one of the issues that have attracted various communities, such as computer vision, machine learning, and data mining in recent years. Moreover, drones equipped with cameras have quickly been deployed to a wide range of applications, starting from border security applications to street monitoring systems. However, there is a notable lack of adequate drone-based datasets available to detect unusual events in the urban traffic environment, especially in roundabouts, due to the density of interaction between road users and vehicles. To promote the development of anomalous event detection with …

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Development Of Ambient Ionization Mass Spectrometry Approaches For The Characterization And Quantification Of Psychoactive Small-Molecule Constituents In Complex Plant Matrices, Megan Isabella Chambers Jan 2023

Development Of Ambient Ionization Mass Spectrometry Approaches For The Characterization And Quantification Of Psychoactive Small-Molecule Constituents In Complex Plant Matrices, Megan Isabella Chambers

Legacy Theses & Dissertations (2009 - 2024)

Drug chemistry sections of forensic crime laboratories are tasked with analyzing a variety of unknown materials, a subset of which are derived from plants. In comparison to the analysis of small-molecule drugs, these plant matrices are incredibly complex and present unique challenges. When traditional chromatographic approaches are used to interrogate these materials in forensic investigations, large amounts of time, resources, and funds are directed towards the extensive sample preparation steps required. Exacerbating the issue is that the matrix characteristics often result in instrument downtime to accomplish the maintenance required to address ingredients adhering to columns or clogging syringes, which are …

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The Daily Patterns Of Emergency Medical Events, Mary Elizabeth Helander, Margaret K. Formica, Dessa K. Bergen-Cico Jan 2023

The Daily Patterns Of Emergency Medical Events, Mary Elizabeth Helander, Margaret K. Formica, Dessa K. Bergen-Cico

Social Science - All Scholarship

This study examines population level daily patterns of time-stamped emergency medical service (EMS) dispatches to establish their situational predictability. Using visualization, sinusoidal regression, and statistical tests to compare empirical cumulative distributions, we analyzed 311,848,450 emergency medical call records from the U.S. National Emergency Medical Services Information System (NEMSIS) for years 2010 through 2022. The analysis revealed a robust daily pattern in the hourly distribution of distress calls across 33 major categories of medical emergency dispatch types. Sinusoidal regression coefficients for all types were statistically significant, mostly at the p < 0.0001 level. The coefficient of determination ($R^2$) ranged from 0.84 and 0.99 for all models, with most falling in the 0.94 to 0.99 range. The common sinusoidal pattern, peaking in mid-afternoon, demonstrates that all major categories of medical emergency dispatch types appear to be influenced by an underlying daily rhythm that is aligned with daylight hours and common sleep/wake cycles. A comparison of results with previous landmark studies revealed new and contrasting EMS patterns for several long-established peak occurrence hours--specifically for chest pain, heart problems, stroke, convulsions and seizures, and sudden cardiac arrest/death. Upon closer examination, we also found that heart attacks, diagnosed by paramedics in the field via 12-lead cardiac monitoring, followed the identified common daily pattern of a mid-afternoon peak, departing from prior generally accepted morning tendencies. Extended analysis revealed that the normative pattern prevailed across the NEMSIS data when re-organized to consider monthly, seasonal, daylight-savings vs civil time, and pre-/post- COVID-19 periods. The predictable daily EMS patterns provide impetus for more research that links daily variation with causal risk and protective factors. Our methods are straightforward and presented with detail to provide accessible and replicable implementation for researchers and practitioners.

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Accelerating Precision Station Keeping For Automated Aircraft, James D. Anderson Jan 2023

Accelerating Precision Station Keeping For Automated Aircraft, James D. Anderson

Browse all Theses and Dissertations

Automated vehicles pose challenges in various research domains, including robotics, machine learning, computer vision, public safety, system certification, and beyond. These vehicles autonomously handle navigation and locomotion, often requiring minimal user interaction, and can operate on land, in water, or in the air. In the context of aircraft, one specific application is Automated Aerial Refueling (AAR). Traditional aerial refueling involves a "tanker" aircraft using a mechanism, such as a rigid boom arm or a flexible hose, to transfer fuel to another aircraft designated as the "receiver". For AAR, the boom arm may be maneuvered automatically, or in certain instances the …

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Perceptions And Knowledge Of Information Security Policy Compliance In Organizational Personnel, Jesus M. Mosqueda Jan 2023

Perceptions And Knowledge Of Information Security Policy Compliance In Organizational Personnel, Jesus M. Mosqueda

Walden Dissertations and Doctoral Studies

All internet connected organizations are becoming increasingly vulnerable to cyberattacks due to information security policy noncompliance of personnel. The problem is important to information technology (IT) firms, organizations with IT integration, and any consumer who has shared personal information online, because noncompliance is the single greatest threat to cybersecurity, which leads to expensive breaches that put private information in danger. Grounded in the protection motivation theory, the purpose of this quantitative study was to use multiple regression analysis to examine the relationship between perceived importance, organizational compliance, management involvement, seeking guidance, and rate of cybersecurity attack. The research question for …

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Precision Meteorological Prediction Employing A Data-Driven, Adaptive, Real-Time (Dart) Approach, Sujit Sinha Jan 2023

Precision Meteorological Prediction Employing A Data-Driven, Adaptive, Real-Time (Dart) Approach, Sujit Sinha

Theses and Dissertations--Mechanical and Aerospace Engineering

The objective of this research is to improve precision meteorological prediction, benefiting both uncrewed aerial vehicle (UAV) operations by avoiding hazardous flight conditions and tracking contaminant or toxic clouds caused by incidents, accidents, or fires. The operational concept is to collect meteorological observations from instruments mounted on a swarm of UAVs, telemeter the data to a weather simulation model, revise the predicted solution by adapting the flow field to the observations, and then transmit the updated forecast to appropriate personnel as well as to the guidance system of UAVs for repositioning to the next set of most beneficial measurements. While …

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Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study, Andreas Tolk, Jennifer A. Richkus, F. Leron Shults, Wesley J. Wildman Jan 2023

Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study, Andreas Tolk, Jennifer A. Richkus, F. Leron Shults, Wesley J. Wildman

VMASC Publications

Land-use planning for modern societies requires technical competence as well as social competence. We therefore propose an integrative solution enabling better land-use planning and management through better-informed decision-making. We adapt a method developed for cross-disciplinary team building to identify the stakeholders and their various objectives and value systems. We use these results to populate artificial societies embedded into a dynamic data analytics framework as a tool to identify, explore, and visualize the challenges resulting from the different objectives and value systems in land-use planning and management. To prove the feasibility of the proposed solution, we present two use cases from …

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Estimating Bedrock Shear Wave Velocity At Vsap, Paducah, Kentucky, Using Ambient Noise, Russel Rogers Jan 2023

Estimating Bedrock Shear Wave Velocity At Vsap, Paducah, Kentucky, Using Ambient Noise, Russel Rogers

Theses and Dissertations--Earth and Environmental Sciences

Due to the nature of the Mississippi Embayment region and its vicinity to the New Madrid Seismic Zone, earthquake ground-motion site effects are potential hazards and quantifying the associated hazard is a necessary step for public safety. Measuring the Vs contrast between bedrock and overlying soil layers is necessary for site effect evaluation. Various methodologies for investigating shear wave velocity (Vs) profiles have been implemented in the Mississippi Embayment. However, these previous studies provided a wide range of bedrock Vs. In this study, microtremor array measurements, utilizing ambient background noise, were used to provide an additional estimate …

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The Pre-Processing Of Wt Blade Images By Ss And Bilateral Filter With Machine Learning Frameworks, Joy Iong-Zong Chen, Chien-Yeh Lee, Wien-Chieh Lo Jan 2023

The Pre-Processing Of Wt Blade Images By Ss And Bilateral Filter With Machine Learning Frameworks, Joy Iong-Zong Chen, Chien-Yeh Lee, Wien-Chieh Lo

Journal of Marine Science and Technology–Taiwan

This paper discusses the motivation behind turbine migration and addresses the challenges of using NN (neural network) computing systems. Moreover, it focuses on high-dimensional data from WT (wind turbine) blades. The three key aspects addressed in this study are turbine migration, overfitting, and strict feature selection. To evaluate the performance of the machine learning system, the study considers the characteristics of WT blades, specifically the similarity in blade color and the differences in shape. The authors apply pre-processing techniques, in particular a bilateral filter, in conjunction with the SS (selective synthesizer) of blade fouling patterns. The SS method adopts the …

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Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams Jan 2023

Comparative Adjudication Of Noisy And Subjective Data Annotation Disagreements For Deep Learning, Scott David Williams

Browse all Theses and Dissertations

Obtaining accurate inferences from deep neural networks is difficult when models are trained on instances with conflicting labels. Algorithmic recognition of online hate speech illustrates this. No human annotator is perfectly reliable, so multiple annotators evaluate and label online posts in a corpus. Labeling scheme limitations, differences in annotators' beliefs, and limits to annotators' honesty and carefulness cause some labels to disagree. Consequently, decisive and accurate inferences become less likely. Some practical applications such as social research can tolerate some indecisiveness. However, an online platform using an indecisive classifier for automated content moderation could create more problems than it solves. …

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Ember Alerts: Assessing Wireless Emergency Alert (Wea) Messages In Wildfires Using The Warning Response Model, Erica D. Kuligowski, Nicholas A. Waugh, Jeannette Sutton, Thomas J. Cova Jan 2023

Ember Alerts: Assessing Wireless Emergency Alert (Wea) Messages In Wildfires Using The Warning Response Model, Erica D. Kuligowski, Nicholas A. Waugh, Jeannette Sutton, Thomas J. Cova

Emergency Preparedness, Homeland Security, and Cybersecurity Faculty Scholarship

When evacuation is necessary in a wildfire event, affected communities must be alerted and warned of the imminent danger and instructed on what to do to protect themselves. One channel available to message providers in the United States is Wireless Emergency Alerts (WEAs) disseminated via IPAWS. Recent wildfire events have shed light on the need to improve WEA strategies and messages when alerting exposed populations of imminent fire threat. The purpose of this article is to assess how, when and where WEAs have been used in US wildfires; whether they comply with guidance set out by Mileti and Sorensen’s Warning …

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Public Perceptions Of U.S. Earthquake Early Warning Post-Alert Messages: Findings From Focus Groups And Interviews, Jeannette Sutton, Michele M. Wood, Savanah Crouch, Nicholas A. Waugh Jan 2023

Public Perceptions Of U.S. Earthquake Early Warning Post-Alert Messages: Findings From Focus Groups And Interviews, Jeannette Sutton, Michele M. Wood, Savanah Crouch, Nicholas A. Waugh

Emergency Preparedness, Homeland Security, and Cybersecurity Faculty Scholarship

In May 2020, a false earthquake alert message was sent to the city of Ridgecrest, CA, in the U.S.A., an area that just 10 months prior had experienced a significant series of earthquake events. The false alert was followed by a post-alert message, indicating that the message was cancelled and under investigation. This event, the first of its kind in the U.S.A., provided an opportunity to learn about public perceptions of the post-alert message, including what individuals understood about the threat and their safety, and what actions they should take as a result. We conducted individual interviews with 40 persons …

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3d Indoor Modeling And Game Theory Based Navigation For Pre And Post Covid-19 Situation, Jaiteg Singh, Noopur Tyagi, Saravjeet Singh, Babar Shah, Farman Ali, Ahmad Ali Alzubi, Abdulrhman Alkhanifer Jan 2023

3d Indoor Modeling And Game Theory Based Navigation For Pre And Post Covid-19 Situation, Jaiteg Singh, Noopur Tyagi, Saravjeet Singh, Babar Shah, Farman Ali, Ahmad Ali Alzubi, Abdulrhman Alkhanifer

All Works

The COVID-19 pandemic has greatly affected human behavior, creating a need for individuals to be more cautious about health and safety protocols. People are becoming more aware of their surroundings and the importance of minimizing the risk of exposure to potential sources of infection. This shift in mindset is particularly important in indoor environments, especially hospitals, where there is a greater risk of virus transmission. The implementation of route planning in these areas, aimed at minimizing interaction and exposure, is crucial for positively influencing individual behavior. Accurate maps of buildings help provide location-based services, prepare for emergencies, and manage infrastructural …

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Negotiating Infrastructural Citizenship Beyond The State: Philanthropy, Non-Profit Organizations, And The Flint Water Crisis, Melissa Heil Jan 2023

Negotiating Infrastructural Citizenship Beyond The State: Philanthropy, Non-Profit Organizations, And The Flint Water Crisis, Melissa Heil

Faculty Publications - Geography, Geology, and the Environment

The urban infrastructure literature has explored how infrastructure is tied to the politics of citizenship: states’ use of infrastructure to include/exclude populations and marginalized populations’ use of infrastructure to claim fuller citizenship. Often, this literature focuses on the relationship between governments and city dwellers, neglecting the role of other actors, like NGOs and philanthropic organizations, that influence infrastructural citizenship. A hallmark of neoliberalism in the Global North has been the transfer of responsibilities from the state to the non-profit sector, increasing these organizations’ power to shape urban citizenship. This paper examines how non-profit organizations participate in the politics of infrastructural …

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Expanding Current Definitions Of Environmental Stewardship Through Organizational Mission Statement Analysis, Alyssa S. Thomas, Michele Romolini Jan 2023

Expanding Current Definitions Of Environmental Stewardship Through Organizational Mission Statement Analysis, Alyssa S. Thomas, Michele Romolini

Center for Urban Resilience Scholarship

In recent years, environmental stewardship has been emphasized as one solution to social-ecological sustainability concerns, especially at the local scale. The Stewardship Mapping and Assessment Project (STEW-MAP) is a national research program developed by the USDA Forest Service that has been implemented at numerous locations in the United States and internationally. This study compared the mission statements of environmental stewardship groups in the Los Angeles River Watershed to previously proposed definitions and frameworks of organizational environmental stewardship to see how well they were reflected. A thematic analysis of the mission statements was also carried out to identify locally important themes …

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Perceptions And Knowledge Of Information Security Policy Compliance In Organizational Personnel, Jesus M. Mosqueda Jan 2023

Perceptions And Knowledge Of Information Security Policy Compliance In Organizational Personnel, Jesus M. Mosqueda

Walden Dissertations and Doctoral Studies

All internet connected organizations are becoming increasingly vulnerable to cyberattacks due to information security policy noncompliance of personnel. The problem is important to information technology (IT) firms, organizations with IT integration, and any consumer who has shared personal information online, because noncompliance is the single greatest threat to cybersecurity, which leads to expensive breaches that put private information in danger. Grounded in the protection motivation theory, the purpose of this quantitative study was to use multiple regression analysis to examine the relationship between perceived importance, organizational compliance, management involvement, seeking guidance, and rate of cybersecurity attack. The research question for …

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Exploring Spectral Bias In Time Series Long Sequence Forecasting, Kofi Nketia Ackaah-Gyasi, Sergio Valdez, Yifeng Gao, Li Zhang Jan 2023

Exploring Spectral Bias In Time Series Long Sequence Forecasting, Kofi Nketia Ackaah-Gyasi, Sergio Valdez, Yifeng Gao, Li Zhang

Computer Science Faculty Publications

Transformers have achieved great success in the task of time series long sequence forecasting (TLSF) in recent years. However, existing research has pointed out that over-parameterized deep learning models are in favor of low frequency and could be difficult to capture high-frequency information for regression fitting task, named spectral bias. Yet the effect of such bias on TLSF problem, an auto-regressive problem with a long forecasting length, has not been explored. In this work, we take the first step to investigate the spectral bias issues in TLSF task for state-of-the-art models. Specifically, we carefully examine three different existing time series …

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On Measuring The Degree Of Resource Isolation In Elastic Network Slicing, Nitin Datta Movva Jan 2023

On Measuring The Degree Of Resource Isolation In Elastic Network Slicing, Nitin Datta Movva

Master's Projects

With the growing popularity of 5G networks and their vast use cases, users must be provided with the services they request. Network slicing is a technique for establishing numerous distinct logical and virtualized networks over a shared multi-domain infrastructure. In particular, the emerging elastic slicing, which allows users to scale up or down the reserved amount of resources during the slice life cycle, is a promising technique to accommodate diverse network services more affordably. However, users may sometimes need more resources, which is impossible to provide due to the abundance of users and lack of additional resources. To our knowledge, …

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Perceptions Of Trail Safety In Humboldt County, California: An Analysis Of Safety Concerns, Factors That Impact Trail Use, And The Value People Place On Trails, Natalie C. Arroyo Jan 2023

Perceptions Of Trail Safety In Humboldt County, California: An Analysis Of Safety Concerns, Factors That Impact Trail Use, And The Value People Place On Trails, Natalie C. Arroyo

Cal Poly Humboldt theses and projects

Trails in Humboldt County, California that are used for both transportation and recreation have myriad community benefits. However, people’s concerns about feeling safe can affect trail use, design, and development, as well as how trails are valued and perceived by residents. There has been a lack of information in Humboldt County about trail safety perceptions despite it being a factor that repeatedly arises in infrastructure planning and funding conversations. My research was focused on answering the following questions: (1) How do Humboldt County trail users perceive their safety on and near trails? (2) What factors affect these perceptions about safety, …

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