Digital Commons Network^™

2022 Report To The Governor: Utah's Land, Water, And Air, Janet Quinney Lawson Institute For Land, Water, And Air

Reports

This report serves as a 2022 snapshot of key issues and concerns with Utah's shared resources. It highlights gathered data that is available to provide context to these issues, as well as identifies areas where more study is needed. Addressing these challenges will enable Utah policymakers and other statewide leaders to make informed decisions for the future. Under the authorship of 37 researchers and experts and the general guidance of 38 advisory committee members, the report outlines 26 issues and trends to pay attention to in the coming months and years.

Biking In Indianapolis: An Ethnographic Analysis Of Obstacles And Solutions, Emory Lietz

Undergraduate Honors Thesis Collection

Indiana is known as the ""Crossroads of America"" for its historic investment in vehicle infrastructure. This focus on automobiles has shaped Indianapolis's urban landscape, to the dismay of many cyclists. Based on semi-structured interviews with a range of stakeholders in the Indianapolis cycling community, including urban planners, bike commuters, IndyGo employees, city government officials, and bike advocates, this project identifies and evaluates the current barriers that prevent Indianapolis residents from riding their bikes. These obstacles, which include infrastructural, safety, and social factors, make it more difficult than it ought to be to bike in Indy.

For my thesis project, I …

An Image Processing Based Classifier To Support Safe Dropping For Delivery-By-Drone, Assem A. Abdelhak, Alan Hicks, Dan Moss, Susan Mckeever

Articles

Autonomous delivery-by-drone of packages is an active area of research and commercial development. However, the assessment of safe dropping/ delivery zones has received limited attention. Ensuring that the dropping zone is a safe area for dropping, and continues to stay safe during the dropping process is key to safe delivery. This paper proposes a simple and fast classifier to assess the safety of a designated dropping zone before and during the dropping operation, using a single onboard camera. This classifier is, as far as we can tell, the first to address the problem of safety assessment at the point of …

Factors Affecting Customers’ Decision To Share Personal Data With Mobile Operators, Ammar Ali Qaffaf

CCAC Theses and Dissertations

Companies that personalize their services based on users’ specific needs have increased sales and customer satisfaction. Personalization requires analyzing the user’s behavior and correlating the action with other pieces of information. The information available for cellular service providers has grown substantially as connectivity becomes ubiquitous. Customers are unknowingly sharing their locations, habits, activities, and preferences in real-time with their service providers. Although cellular service providers state that they share personal data with external entities in their publicly available privacy policies, users have limited control over who can access their personal information. Users have no, or suboptimal, control to manage their …

Development And On-Road Applications Of A 1/10-Scale Autonomous Vehicle, Laura Cornejo Paulino

Theses, Dissertations and Culminating Projects

Autonomous vehicles (AVs) are a key component in the creation of the new transportation infrastructure. Over the last several decades, nations across the world have experienced an increase in traffic congestion, environmental deprecation due to greenhouse gas emissions and an increase in time loss and productivity. A key factor in these components is the increase in numbers of vehicles on the road, a number that continues to increase gradually every year. In addition, the continued increase in vehicles on the road poses a threat to human and environmental safety. There is strong evidence to support that accidental vehicular deaths and …

New York City Micronet : Comprehensive Site Metadata And Classifications And Characteristics Of The Urban Heat Island, Ashley Williamson

Legacy Theses & Dissertations (2009 - 2024)

The New York City Micronet (NYC Micronet), comprised of 17 stations, was installed in the Fall of 2020 for the purpose of long-term monitoring of climate change, and to provide support to utility operations for Consolidated Edison, Inc. (Con Edison). There are five additional standard NYS Mesonet stations located in NYC installed in late 2017. Co-located at the standard stations are three flux, and three profiler stations from sub-networks within the NYS Mesonet. With 22 different locations collecting 5-minute averaged data, this network becomes the highest spatial and temporal resolution urban meteorological network (UMN) of this quality in NYC. This …

Spokane Climate Project: Chapter 1, Temperature Impact Study For Spokane, Washington, Rebecca Macmullen, Kara Odegard, Jim Simon, David Camp, Gonzaga University Climate Institute

Climate, Water, and the Environment Research

This chapter examines the effects that projected future temperature increases are likely to have on human health and safety in Spokane. Spokane’s annual Lilac Bloomsday Run (Bloomsday) is used as a case study to illustrate potential impacts to human health.

The full version of this report as well as a full list of the citations and methodologies employed for this analysis can be found at the Spokane Climate Project website: https://www.spokaneclimateproject.org/.

Cybersecurity & Correctional Institutions, Kelly Himelwright

Cybersecurity Undergraduate Research Showcase

Cybersecurity is becoming an increasingly important aspect of correctional operations. To properly maintain security, more jails and prisons are using comprehensive cyber protection techniques. Correctional facilities face risks that were perhaps unimaginable only a few decades ago. Many organizations have used information technology to help them run their businesses, but few have the resources or vision to foresee and adequately manage the cyber dangers that come with it. Institutions need to be more aware of these hazards, as well as have more information security experts on staff.

C2 Microservices Api: Ch4rl3sch4l3m4gn3, Thai H. Nguyễn

School of Computer Science & Engineering Undergraduate Publications

In the 21^st century, cyber-based attackers such as advance persistent threats are leveraging bots in the form of botnets to conduct a plethora of cyber-attacks. While there are several social engineering techniques used to get targets to unknowingly download these bots, it is the command-and-control techniques advance persistent threats use to control their bots that is of critical interest to the author. In this research paper, the author aims to develop a command-and-control microservice application programming interface infrastructure to facilitate botnet command-and-control attack simulations. To achieve this the author will develop a simple bot skeletal framework, utilize the latest …

Combining Green Metrics And Digital Twins For Sustainability Planning And Governance Of Smart Buildings And Cities, Casey R. Corrado, Suzanne M. Delong, Emily G. Holt, Edward Y. Hua, Andreas Tolk

VMASC Publications

Creating a more sustainable world will require a coordinated effort to address the rise of social, economic, and environmental concerns resulting from the continuous growth of cities. Supporting planners with tools to address them is pivotal, and sustainability is one of the main objectives. Modeling and simulation augmenting digital twins can play an important role to implement these tools. Although various green best practices have been utilized over time and there are related attempts at measuring green success, works in the published literature tend to focus on addressing a single problem (e.g., energy efficiency), and a comprehensive approach that takes …

Estimation Of The Amount Of Active Pharmaceutical Ingredient In Over-The-Counter Available Aspirin Formulations Using Titrimetry, Uv-Visible Spectrophotometry And Raman Spectroscopy, Harismranjeet K. Chahal

Browse all Theses and Dissertations

Counterfeit pharmaceuticals are a serious threat to public safety worldwide. Adverse health effects including resistance to treatment and death have resulted from the consumption of such medicines. Aspirin, which is a non-steroidal anti-inflammatory drug, has been counterfeited in the past due to its increasing demand. Rapid and easy analytical methods are needed to detect these counterfeit medicines and put a halt to the growing number of such incidents. In this study, quantitative estimation of active pharmaceutical ingredient (API) content in different over-the-counter available aspirin tablets was done using titrimetry and UV- Visible spectrophotometry. Qualitative analysis was done using Raman spectroscopy. …

Development Of A Novel Vertebrate Pesticide For The Invasive Small Indian Mongoose, Carmen Antaky, Steven C. Hess, Israel Leinbach, Robert T. T. Sugihara, Emily W. Ruell, Shane Siers

United States Department of Agriculture Wildlife Services: Staff Publications

Small Indian mongooses are detrimental introduced predators in the United States, where they depredate native species, serve as vector of disease, and threaten public safety. Due to the risk of accidental introduction to mongoose-free islands, high cost and limitations to trapping, and no national (Section 3) Environmental Protection Agency (EPA)-registered toxicants for mongoose control, there is a need for an efficacious toxic bait for mongooses for use in conservation areas and at points of entry in the United States. Over the last five years, the National Wildlife Research Center (NWRC) worked to develop a toxic bait for mongooses for registration …

Graph Neural Networks For Malware Classification, Vrinda Malhotra

Master's Projects

Malware is a growing threat to the digital world. The first step to managing this threat is malware detection and classification. While traditional techniques rely on static or dynamic analysis of malware, the generation of these features requires expert knowledge. Function call graphs (FCGs) consist of program functions as their nodes and their interprocedural calls as their edges, providing a wealth of knowledge that can be utilized to classify malware without feature extraction that requires experts. This project treats malware classification as a graph classification problem, setting node features using the Local Degree Profile (LDP) model and using different graph …

A Citizen-Science Approach For Urban Flood Risk Analysis Using Data Science And Machine Learning, Candace Agonafir

Dissertations and Theses

Street flooding is problematic in urban areas, where impervious surfaces, such as concrete, brick, and asphalt prevail, impeding the infiltration of water into the ground. During rain events, water ponds and rise to levels that cause considerable economic damage and physical harm. The main goal of this dissertation is to develop novel approaches toward the comprehension of urban flood risk using data science techniques on crowd-sourced data. This is accomplished by developing a series of data-driven models to identify flood factors of significance and localized areas of flood vulnerability in New York City (NYC). First, the infrastructural (catch basin clogs, …

Estimating The Statistics Of Operational Loss Through The Analyzation Of A Time Series, Maurice L. Brown

Theses and Dissertations

In the world of finance, appropriately understanding risk is key to success or failure because it is a fundamental driver for institutional behavior. Here we focus on risk as it relates to the operations of financial institutions, namely operational risk. Quantifying operational risk begins with data in the form of a time series of realized losses, which can occur for a number of reasons, can vary over different time intervals, and can pose a challenge that is exacerbated by having to account for both frequency and severity of losses. We introduce a stochastic point process model for the frequency distribution …

Biometric Security: A Novel Ear Recognition Approach Using A 3d Morphable Ear Model, Md Mursalin, Mohiuddin Ahmed, Paul Haskell-Dowland

Research outputs 2022 to 2026

Biometrics is a critical component of cybersecurity that identifies persons by verifying their behavioral and physical traits. In biometric-based authentication, each individual can be correctly recognized based on their intrinsic behavioral or physical features, such as face, fingerprint, iris, and ears. This work proposes a novel approach for human identification using 3D ear images. Usually, in conventional methods, the probe image is registered with each gallery image using computational heavy registration algorithms, making it practically infeasible due to the time-consuming recognition process. Therefore, this work proposes a recognition pipeline that reduces the one-to-one registration between probe and gallery. First, a …

Lake Huron Shoreline Analysis, Shubham Satish Nandanwar

Theses and Dissertations (Comprehensive)

Lake Huron is a popular tourist destination and is home to several businesses and residents. Since the shoreline is dynamic and is subject to change over the years due to several factors such as a change in water level, soil type, human encroachment, etc., these locations tend to encounter floods due to increased water levels and wind speed. This causes erosion and loss to the properties along the shoreline.

This study is based on two areas of interest named Pinery Provincial Park and Sauble Beach which are located on the shoreline of Lake Huron where Pinery Provincial Park is a …

Exploring Visitor Perceptions And Behaviours Related To Ticks And Lyme Disease Risk In An Ontario Protected Area, Ryan Brady

Theses and Dissertations (Comprehensive)

Lyme disease is the most common vector-borne zoonosis in North America and over the past decade, reported cases of the disease have been rapidly increasing in many regions throughout Canada. The relative novelty of this public health threat presents nature-based tourism and recreation organizations with a range of policy and management challenges. Currently, there is a limited understanding of public perceptions and behaviours associated with tick and Lyme disease risk, especially within a Canadian parks and protected areas visitation and visitor experience context. To address this practical and scholarly knowledge gap, this study utilized in-situ surveys to explore visitor perceptions, …

Social Disorganisation Theory And Violent Crime: A Spatial-Econometric Analysis Of Chicago And Sydney, Anthony N. Greening

Theses: Doctorates and Masters

The spatialisation of violent crime is explored in two large case studies, Chicago and Sydney, using spatial econometric methods and macro-sociological variables derived from Social Disorganisation Theory.

Social Disorganisation Theory (SDT) is introduced in terms of its formulation in response to highly specific conditions arising in Chicago, as well as its adoption of methodological and theoretical developments from existing traditions. This specificity belies its breadth of application and enduring presence in criminology. With “Social Disorganisation Theory” hosting a wealth of highly nuanced academic dialogue conducted under its banner, current incarnations of SDT appear as branches on an evolutionary tree. This …

Mind The Gap: Reimagining An Interactive Programming Course For The Synchronous Hybrid Classroom, Christopher M. Poskitt, Kyong Jin Shim, Yi Meng Lau, Hong Seng Ong

Research Collection School Of Computing and Information Systems

COVID-19 has significantly affected universities, forcing many courses to be delivered entirely online. As countries bring the pandemic under control, a potential way to safely resume some face-to-face teaching is the synchronous hybrid classroom, in which physically and remotely attending students are taught simultaneously. This comes with challenges, however, including the risk that remotely attending students perceive a ‘gap’ between their engagement and that of their physical peers. In this experience report, we describe how an interactive programming course was adapted to hybrid delivery in a way that mitigated this risk. Our solution centred on the use of a professional …

Natural Environment: Protocol To Recover Pollen Grains On Bodies, Karl J. Reinhard, A. Barbosa

School of Natural Resources: Faculty Publications

No abstract provided.

Multimedia Security And Privacy Protection In The Internet Of Things: Research Developments And Challenges, Wencheng Yang, Song Wang, Jiankun Hu, Nickson M. Karie

Research outputs 2022 to 2026

With the rapid growth of the internet of things (IoT), huge amounts of multimedia data are being generated from and/or exchanged through various IoT devices, systems and applications. The security and privacy of multimedia data have, however, emerged as key challenges that have the potential to impact the successful deployment of IoT devices in some data-sensitive applications. In this paper, we conduct a comprehensive survey on multimedia data security and privacy protection in the IoT. First, we classify multimedia data into different types and security levels according to application areas. Then, we analyse and discuss the existing multimedia data protection …

Analysis Of Modern Communication Protocols For Iot Applications, Neerendra Kumar, Pragti Jamwal

Karbala International Journal of Modern Science

To facilitate increasing interactions of machines, various protocols are building up for IoT applications. Safeguarding communication among devices is necessary. In this paper, various protocols have been studied and compared using six parameters: Communication overhead, Security, Packet Loss, Throughput, Bandwidth and Support to QoS. LIDOR is found as the most successful communication protocol. A tabulated comparison of various communication protocols have been provided by comparing the parameters. Further, six star rating for the various protocols have been proposed. The study shows that LIDOR increases reliability under DoS attacks. Considering the existing literature, new research gaps and challenges have been presented.

Ai And The Future Of Work: What We Know Today, Steven M. Miller, Thomas H. Davenport

Research Collection School Of Computing and Information Systems

To contribute to a better understanding of the contemporary realities of AI workplace deployments, the authors recently completed 29 case studies of people doing their everyday work with AI-enabled smart machines. Twenty-three of these examples were from North America, mostly in the US. Six were from Southeast Asia, mostly in Singapore. In this essay, we compare our findings on job and workplace impacts to those reported in the MIT Task Force on the Work of the Future report, as we consider that to be the most comprehensive recent study on this topic.

Early Prediction Of Hate Speech Propagation, Ken-Yu Lin, Roy Ka-Wei Lee, Wei Gao, Wen-Chih Peng

Research Collection School Of Computing and Information Systems

Online hate speech has disrupted the social connectedness in online communities and raises public safety concerns in our societies. Motivated by this rising issue, researchers have developed many machine learning and deep learning methods to detect hate speech in social media automatically. However, most of the existing automated solutions have focused on detecting hate speech in a single post, neglecting the network and information propagation effects of social media platforms. Ideally, the content moderators would want to identify the hateful posts and monitor posts and threads that are likely to induce hate. This paper aims to address this research gap …

Spatiotemporal Variations Of Precipitation And Climate-Resilient Structure Design In Virginia, Xiaomin Yang

Civil & Environmental Engineering Theses & Dissertations

How to consider effects of climate change on the design and management of hydrology related infrastructure is crucial but remains a challenge for sustaining resilient society. To address this challenge, existing hydrologic design procedures may need to be revised and/or redeveloped to take into account the precipitation non-stationarity resulting from climate change. Using the state of Virginia as a testbed and advanced statistical techniques such as nonparametric test, spatial autocorrelation, linear regression, distribution fitting, and spatial interpolation, this dissertation developed an innovative framework to detect the historical spatiotemporal variations of various precipitation characteristics, namely maximum precipitation intensity, precipitation amount, simple …

Development Of A Magnetic Confinement Attachment For Enhanced Signal In Handheld Laser Induced Breakdown Spectroscopy Soil Analysis, Alfred C. Anderson

Theses and Dissertations

Field techniques for characterizing low levels of heavy elements of less than 100 parts per million in soils tend to be unreliable because of the relatively weak signal of these elements and the large, variable background inherent to analyzing soils with minimal sample preparation. To enhance the detection and analysis capability of a handheld laser-induced breakdown spectroscopy (LIBS) instrument, this work investigates the effects of a unique magnetic confinement apparatus on signal intensities, focusing on five iron lines as well as those from actinides in 11 soil samples. The proposed magnetic confinement apparatus achieved over 0.8 T but did not …

Developing A Watershed-Based Plan Evaluation Framework For Socio-Ecological Network Analysis In The Upper Pontchartrain Basin, Lindsey R. Lamana

LSU Master's Theses

Louisiana's efforts to create regional watershed planning under the Louisiana Watershed Initiative (LWI) suggest the need to evaluate existing governance systems such as the coordination, development, and implementation of plans. The Network Analysis and Plan Evaluation (NAPE) Framework developed in this study answers initial questions related to the LWI’s long-term resilience outcomes from the content analysis and extraction of relational data in plans of LWI Region 7 located in the Upper Pontchartrain Basin. Actor-Plan Coordination Networks reveal the coordination and collaboration of entities, and a Network of Plans presents the integration of planning documents in the Region. Local government organizations …

Issue Of False Amphetamine Field Test Positives Caused By Sugar: Use Of Baeyer Test As A Secondary Test Solution, Reed A. Knutson, Jennah Duncan, Kara Peightal, Samuel Thomas

Department of Chemistry: Dissertations, Theses, and Student Research

The Marquis reagent is a well-established and widely used chemical presumptive test for 3,4-Methylenedioxymethamphetamine (MDMA) and methamphetamine. It is composed of concentrated sulfuric acid and 40% formaldehyde, which act upon alkaloids causing them to complex into larger molecules. This complexation causes a color change that can be visually interpreted as a positive or negative result. Almost any sugar molecule can be complexed in this way as well, due to their many OH groups. Experimentally it was found that the sugar molecules did complex with one another when the Marquis test was administered. The color produced by this reaction was brownish-red. …

Risk Communication In The Tourism Industry, Lindsay E. Usher, Ashley Schroeder

Human Movement Studies & Special Education Faculty Publications

This chapter focuses on risk communication in the tourism sector. Tourism organizations must communicate with a variety of stakeholders when conveying messages about impending severe weather or disasters, which are increasing due climate change and sea level rise. There is also an increased need to distribute information to tourism stakeholders about preparing for, continuing service during, and recovering from, disasters. Stakeholders involved with the tourism industry include business owners, government officials and tourists, all of whom have differing degrees of vulnerability in a destination when a threat occurs. Different messages regarding disaster preparation and recovery must be communicated to the …