Digital Commons Network^™

Full Issue, The Migrant

The Migrant - Tennessee Ornithological Society

No abstract provided.

Using Cobot Technology To Design A Finger-Based Haptic Device, Danielle Carr, Carl A. Moore, Rodney Roberts, Ed Colgate

Florida Conference on Recent Advances in Robotics

Robot telemanipulation systems use operator interfaces coupled to avatars (remote robots) so people can touch and manipulate things far away. When the operator’s hand controls the interface, it may be called a haptic interface. An important haptic research topic is determining how to provide a realistic sensation of a remote object. However, existing haptic devices have been criticized for having limited capabilities that prevent them from excelling at both ends of the impedance spectrum. This can make them operate slowly and be challenging due to issues with mobility, immersive displays, and direct in-hand manipulation. It also reduces haptics to low …

Design Of A Low Cost 2dof Geartrain For Broad Applications In Quadrupedal Robots, Benjamin Labiner, David Jay

Florida Conference on Recent Advances in Robotics

This paper presents the design and analysis of a low-cost two-degree-of-freedom (2DOF) geartrain tailored for versatile applications in quadrupedal robots. Leveraging principles of simplicity and affordability, the described geartrain design aims to provide an effective solution for transferring power from motors to limbs while minimizing manufacturing costs. This paper discusses the key considerations in geartrain design, including gear ratio selection, material choice, and mechanical efficiency, highlighting the trade-offs between performance and cost. Through mathematical modeling and extensive testing, the ideal parameters of the geartrain are identified to achieve desired locomotion capabilities across various terrains and loads. This geartrain design offers …

Quantifying Impact Of Robot Perception Accuracy At Landmarks In Decision-Making During Complex Situations, Sheuli Paul, Steven Liu, Akram Alghanmi, Veton Kepuska, Marius Silaghi

Florida Conference on Recent Advances in Robotics

Perception and decision making is contextual. Landmarks are components of the environment associated with high perception and localization accuracy and their presence can significantly impact agent beliefs and decisions. Our research focuses on integrating state-of-the-art sensing technologies to enhance human decision-making. The perception model incorporates multi-sensor fusion, utilizing LiDAR, cameras, and inertial sensors to create a dynamic representation of the environment. Object recognition and tracking algorithms further enable the robot to interpret the scene providing valuable insights for informed decision-making. This effort involves a novel perception model tailored for mobile robots, emphasizing its role in assisting humans during decision-making processes. …

Carpool-Based Parking Assignment Policy, Daniel Rodriguez-Roman, Héctor Carlo Colón, Nayda G. Santiago, Alberto M. Figueroa Medina, Peng Chen, Ran Tao

Research Reports

A new travel demand management (TDM) strategy is proposed that integrates ride-matching and parking management to tackle traffic congestion and air pollution problems that arise when the demand for parking spaces exceeds parking supply. The proposed strategy implements a centralized system that assigns parking spaces, free of out-of-pocket costs, according to users’ reservation requests, users’ travel schedules, and available parking supply. Concurrent to the parking assignment process, the system coordinates carpools by finding minimum travel cost matches between drivers whose parking requests were accepted and system participants that require transportation. This report presents an optimization model for the implementation of …

Using Digital Twins To Protect Biomanufacturing From Cyberattacks, Brenden Fraser-Hevlin, Alec W. Schuler, B. Arda Gozen, Bernard J. Van Wie

Military Cyber Affairs

Understanding of the intersection of cyber vulnerabilities and bioprocess regulation is critical with the rise of artificial intelligence and machine learning in manufacturing. We detail a case study in which we model cyberattacks on network-mediated signals from a novel bioreactor, where it is important to control medium feed rates to maintain cell proliferation. We use a digital twin counterpart reactor to compare glucose and oxygen sensor signals from the bioreactor to predictions from a kinetic growth model, allowing discernment of faulty sensors from hacked signals. Our results demonstrate a successful biomanufacturing cyberattack detection system based on fundamental process control principles.

Surmounting Challenges In Aggregating Results From Static Analysis Tools, Dr. Ann Marie Reinhold, Brittany Boles, A. Redempta Manzi Muneza, Thomas Mcelroy, Dr. Clemente Izurieta

Military Cyber Affairs

Aggregation poses a significant challenge for software practitioners because it requires a comprehensive and nuanced understanding of raw data from diverse sources. Suites of static-analysis tools (SATs) are commonly used to assess organizational security but simultaneously introduce significant challenges. Challenges include unique results, scales, configuration environments for each SAT execution, and incompatible formats between SAT outputs. Here, we document our experiences addressing these issues. We highlight the problem of relying on a single vendor's SAT version and offer a solution for aggregating findings across multiple SATs, aiming to enhance software security practices and deter threats early with robust defensive operations.

Characterizing Advanced Persistent Threats Through The Lens Of Cyber Attack Flows, Logan Zeien, Caleb Chang, Ltc Ekzhin Ear, Dr. Shouhuai Xu

Military Cyber Affairs

Effective cyber defense must build upon a deep understanding of real-world cyberattacks to guide the design and deployment of appropriate defensive measures against current and future attacks. In this abridged paper (of which the full paper is available online), we present important concepts for understanding Advanced Persistent Threats (APTs), our methodology to characterize APTs through the lens of attack flows, and a detailed case study of APT28 that demonstrates our method’s viability to draw useful insights. This paper makes three technical contributions. First, we propose a novel method of constructing attack flows to describe APTs. This abstraction allows technical audiences, …

Generative Machine Learning For Cyber Security, James Halvorsen, Dr. Assefaw Gebremedhin

Military Cyber Affairs

Automated approaches to cyber security based on machine learning will be necessary to combat the next generation of cyber-attacks. Current machine learning tools, however, are difficult to develop and deploy due to issues such as data availability and high false positive rates. Generative models can help solve data-related issues by creating high quality synthetic data for training and testing. Furthermore, some generative architectures are multipurpose, and when used for tasks such as intrusion detection, can outperform existing classifier models. This paper demonstrates how the future of cyber security stands to benefit from continued research on generative models.

Commercial Enablers Of China’S Cyber-Intelligence And Information Operations, Ethan Mansour, Victor Mukora

Military Cyber Affairs

In a globally commercialized information environment, China uses evolving commercial enabler networks to position and project its goals. They do this through cyber, intelligence, and information operations. This paper breaks down the types of commercial enablers and how they are used operationally. It will also address the CCP's strategy to gather and influence foreign and domestic populations throughout cyberspace. Finally, we conclude with recommendations for mitigating the influence of PRC commercial enablers.

Summit Report: Artificial Intelligence In The Era Of Strategic Competition, Sarah Brown

GNSI Summit Reports

The 3^rd Tampa Summit: Artificial Intelligence in the Era of Strategic Competition was held March 5-7^th, 2024 at the University of South Florida and encompassed the 9^th event in the Great Power Competition Conference series. The Global and National Security Institute (GNSI), in partnership with U.S. Central Command (USCENTCOM), the U.S. Department of Defense Chief Digital and Artificial Intelligence Office (CDAO), and the USF Institute for Artificial Intelligence (AI+X) brought together over 50 experts from government, academia and private industry to discuss the current and future applications of artificial intelligence in national security.

Cargo Consolidation, Routing, And Location Optimization To Reduce Traffic Congestion By Minimizing Commercial Heavy Vehicle Trips, Mario M. Monsreal, Seckin Ozkul, Bill Prieto, Jose Rivera, William Eisele

Research Reports

Commercial heavy vehicles, given their frequency of acceleration and deceleration, impact the traffic stream more than passenger cars, leading to greater congestion on the roads. Mixed-cargo shipments, or cargo consolidation, is an operational strategy that has gained traction in many industries because it reduces transportation costs while increasing asset utilization, such as making use of all the available capacity. This practice achieves cost reductions and increased asset efficiency by reducing the number of trips that are needed to deliver the same volume of products among different companies. However, its implementation is far from optimal since it is often carried out …

High School Acceleration And First-Year College Student Success: Do Advanced Placement Or Dual Enrollment Influence College Persistence Differently, Serge W. Desir Jr.

USF Tampa Graduate Theses and Dissertations

The proliferation of Advanced Placement (AP) and Dual Enrollment taken by high school students expanded over the past few decades due concerted efforts to make the accelerated mechanisms more available to historically underrepresented groups and to reduce the cost of higher education. Supported by years of research correlating improved first-year college performance to enrollment in such programs, AP and Dual Enrollment also allow students to earn college credit prior to enrolling at post-secondary institutions, further enhanced their appeal. Despite this enhanced popularity, little research has been done on whether there are any indications of different academic outcomes by the accelerated …

Full Issue, The Migrant

The Migrant - Tennessee Ornithological Society

No abstract provided.

Klimchouk’S Impact On The Development Of Speleogenetic Models For Castile Evaporites: West Texas And Southeastern New Mexico, Usa, Kevin W. Stafford

International Journal of Speleology

Due to the pioneering work of Alexander Klimchouk (2007), hypogene karst is now recognized as being complex and extensive throughout Permian strata of the greater Delaware Basin in West Texas and southeastern New Mexico (USA). Klimchouk heavily influenced our current understanding of hypogene speleogenesis in the Permian Ochoan Castile Formation where we now recognize diverse hypogene manifestations that include vertically-extensive breccia pipes, laterally-extensive blanket breccias, morphologically-varied caves, diagenetically-altered sulfates, and unique venting structures. Underlying Bell Canyon strata provide the transmissive zone for delivery and removal of solutionally aggressive fluids to the conformably overlying Castile evaporites. Current speleogenetic models indicate that …

Spectral Properties Of Wetlands In Michigan Using Remote Sensing To Identify And Classify Wetlands In Roscommon County, Michigan, Kolin Williamson

USF Tampa Graduate Theses and Dissertations

Biological, geological, and physical. These are only a handful of the many environmental aspects that wetlands functions maintain and protect. Unfortunately, wetlands within the United States have been razed at an alarming rate. The State of Michigan has not gone through this unscathed either, loosing over 1000 acres of wetland a year. One of the most important tools to prevent this destruction are the maps and programs that show where these essential ecosystems are located. The current, federally-created maps and imaging software in use by environmental consultants and contractors may not be up to date which can pose challenges for …

Mathematics Teacher Preparation Reimagined: The Exploration Of Preservice Teachers Planning Culturally Responsive Mathematics Lessons Using Culturally Relevant Mathematics Tasks, Lakesia L. Dupree

USF Tampa Graduate Theses and Dissertations

Equipping teachers with the knowledge, skills, and dispositions deemed necessary to work with students from diverse populations is a documented need that plagues teacher education. Furthermore, the influx of students from diverse backgrounds enrolled in United States schools intensifies the need to prepare the future generation of teachers to be equipped to provide learning opportunities for each and every student in their classroom. This paper highlights the importance of culture and the integral place it holds when supporting current and future teachers with planning and subsequently enacting culturally responsive mathematics and culturally relevant mathematics tasks in their middle grades mathematics …

The Effect Of Fixed Time Delays On The Synchronization Phase Transition, Shaizat Bakhytzhan

USF Tampa Graduate Theses and Dissertations

Nature is full of synchronization phenomena, which are essential to many scientific fields like biology, chemistry, physics, and neuroscience. The Kuramoto model is a well-known theoretical model that helps explain the fundamental ideas behind synchronization dynamics [6]. Nevertheless, in practical situations, systems frequently display intrinsic latency, which can greatly impact their behavior during synchronization. This insight inspired our work, which looks at the results of adding temporal delays to the Kuramoto model. In particular, we investigate how the system’s synchronization dynamics are affected by delays. We shed light on the mechanisms underpinning synchronization in the face of temporal delays and …

Full Issue, The Migrant

The Migrant - Tennessee Ornithological Society

No abstract provided.

Full Issue, The Migrant

The Migrant - Tennessee Ornithological Society

No abstract provided.

Full Issue, The Migrant

The Migrant - Tennessee Ornithological Society

No abstract provided.

Modeling The Human Learning Process Using An Industrial Steam Boiler Analogy To Design A Psychophysiological-Based Hypermedia Adaptive Automation System, Liliana María Villavicencio López

USF Tampa Graduate Theses and Dissertations

This dissertation aims to address the existing gap in the integration of various dimensions within the student learning system, encompassing cognitive, emotional, and physical variables. The primary objective is to construct a Personalized Learning Adaptive Automation model using Electroencephalography (EEG) technology.

To provide deeper insight into the intricate nature of the Human Learning Process, this study introduces a novel analogy with an Industrial Steam Boiler. This analogy serves as a distinctive contribution to research in the field.

The research methodology involved the collection of brainwaves data from engineering students while they undertook educational tasks of varying levels of difficulty, categorized …

Development Of Novel Analytical Methods For The Investigation Of Mammalian Tissues And Cells, Grace A. Binder

USF Tampa Graduate Theses and Dissertations

This dissertation endeavors to advance the frontiers of analytical chemistry by addressing critical challenges across three distinct chapters. In the first chapter, the focus is on the evaluation of digestion methods for the analysis of trace metals in mammalian tissues and the Standard Reference Material NIST 1577c. The primary goal is to optimize methodologies, laying the groundwork for reliable trace metal analysis and furthering our understanding of their roles in biological systems.

Transitioning into the realm of immunomodulation, the second chapter elucidates immune response, disease and treatment through the optimization and discovery of STING modulators, utilizing the luciferase assay for …

Time-Scale Of Groundwater Recharge In Coastal Plain Soils, Qing Du

USF Tampa Graduate Theses and Dissertations

Understanding and modeling the timing and magnitude of groundwater recharge fromrainfall infiltration through vadose zone percolation is important for many reasons but especially because the flux is being acted on by root zone evapotranspiration (ET) and very little of rainfall infiltration ever becomes water table recharge. This study elaborates on the considerable time of the wetting front arrival and ultimate bulk recharge of rainfall infiltration in shallow water table fine-sandy soils typical of coastal plain environments such as Florida. Calibrated Hydrus-1D modeling of Florida (Myakka) soil was evaluated at varying depths of water table and hydraulic conductivities to bracket the …

Context-Aware Affective Behavior Modeling And Analytics, Md Taufeeq Uddin

USF Tampa Graduate Theses and Dissertations

Affective computing (AC) is a sub-domain of AI that has the potential to assist people by assessing mental states and making appropriate recommendations to patients, loved ones, caregivers, and domain experts. Humans usually produce an enormous amount of data (such as face videos) every day. One of the major challenges for affective computer vision is to efficiently deal with high volumes of data to facilitate automated model development. To cope with this challenge, we developed computer vision algorithms that measure the expressivity of the human face from video data. More precisely, the developed algorithms can map complex affect information from …

Quandle Rings, Idempotents And Cocycle Invariants Of Knots, Dipali Swain

USF Tampa Graduate Theses and Dissertations

Quandles are sets with self-distributive binary operations that axiomatize the three Reidemeister movesin classical knot theory. In an attempt to bring ring theoretic techniques to the study of quandles, a theory of quandle rings analogous to the classical theory of group rings where several interconnections between quandles and their associated quandle rings have been explored. Functoriality of the construction implies that morphisms of quandle rings give a natural enhancement of the well-known quandle coloring and quandle 2 cocycle invariant of knots and links.

The dissertation is structured into two main parts. In the first part, we delve into quandle rings …

Dispersion Of Artificial Tracers In Ventilated Caves, Claudio Pastore, Eric Weber, Frédéric Doumenc, Pierre-Yves Jeannin, Marc Lütscher

International Journal of Speleology

Artificial CO₂ was used as a tracer along ventilated karst conduits to infer airflow and investigate tracer dispersion. In the karst vadose zone, cave ventilation is an efficient mode of transport for heat, gases and aerosols and thus drives the spatial distribution of airborne particles. Modelling this airborne transport requires geometrical and physical parameters of the conduit system, including the cross-sectional areas, the airflow and average air speed, as well as the longitudinal dispersion coefficient which describes the spreading of a solute. Four gauging tests were carried out in one mine (artificial conduit) and two ventilated caves (natural conduits). …

Local Ecological Knowledge, Education, And Bilingualism: Ethnography Of A Stem Program For Elementary Students In Southwestern Florida, Barbara D. Herrera

USF Tampa Graduate Theses and Dissertations

In response to the limited inclusion of cultural relevant pedagogy in Science, Technology, Engineering, and Mathematics (STEM) centered educational programs, this study illustrates dynamics that encourage inclusivity and provide a space for minority students to develop self-efficacy while also exposing them to formal modes of STEM knowledge. Elementary level English/Spanish speaking children were taught local ecological knowledge (LEK) during a STEM summer program in a city in Southwestern Florida. The use of participant observation, group interviews with the students, and interviews with the educators allowed for an in-depth analysis of the program and the established goals. This study provides insight …

Comparative Analysis Of Time Series Models On U.S. Stock And Exchange Rates: Bayesian Estimation Of Time Series Error Term Model Versus Machine Learning Approaches, Young Keun Yang

USF Tampa Graduate Theses and Dissertations

This study presents a comparative analysis of contemporary applications of time series models, focusing on the Bayesian approach. In contrast to many nonparametric studies, the Bayesian approach circumvents the common issue of bandwidth selection by offering systematic estimation and avoiding ad hoc methods. Specifically, we delve into the Bayesian approach for estimating the autocovariance function of a time series model’s error term. Traditional time series models often make the unrealistic assumption of a constant error term. Furthermore, models such as autoregressive conditional heteroskedasticity (ARCH) and general autoregressive conditional heteroskedasticity (GARCH) address the limitation of constant variance by assuming an autoregressive …

Beach Processes Controlling Erosional Hotspots And Their Influences On Beach Nourishment Performances: A Case Study Along West-Central Florida Barrier Island Beaches, Sophia Gutierrez

USF Tampa Graduate Theses and Dissertations

This study examines the long-term performance of repeated beach nourishment over an approximately 35-year period at two barrier islands, Sand Key and Treasure Island along the west-central Florida coast, USA. Five cycles of beach nourishment on Sand Key and six on Treasure Island were conducted during the study period. Three erosional hotspots were identified along a combined 14-km stretch of the nourished beach. The processes that cause the erosional hotspot were examined through numerical modeling of nearshore wave and current fields.

The most recent three nourishments since 2006 were monitored systematically by this study. Beach profiles were surveyed bimonthly to …