Computer Sciences Commons^™

Fitting Cell-Based Biomechanical Models From Spatiotemporal Data: A Gradient Descent Approach, Namita Raghuvanshi

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

Biological systems that contain multiple living cells exhibit complex self-organization during development of an embryo as individual cells coordinate their behaviors to form intricate patterns. Understanding the mechanisms that underlie this emergent behavior is within reach because of advances in cell imaging that can now track hundreds of cells’ states and positions in real time. However, computational methods are needed that can fit physical scientific models to these observations in space and time. This work introduces a new method to solve this problem that applies automatic differentiation and gradient descent, techniques that underlie deep-learning advances. The method fits a biomechanical …

Computational Techniques For Elucidating Plant-Pathogen Interactions: A Case Study On Citrus-Hlb Interactome, Cristian D. Loaiza

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

The Citrus fruit industry in the United States has been affected during the last two decades because of the outbreak of the citrus greening disease, also known as Huanglongbing (HLB). Many people and organizations are working in therapeutics to help mitigate the impact of this disease, unfortunately there is not a cure yet. There are many mechanisms that needs to be understood about this disease, especially at the molecular level. Not only HLB, but many other infectious diseases are controlled by the interaction of proteins from the host (Citrus in this case) and from the pathogen that causes the disease. …

An Empirical And Theoretical Investigation Of Random Reinforced Forests And Shallow Convolutional Neural Networks, Nikhil Ganta

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

For many years, the global population of honey bees has been decreasing due to inconclusive reasons resulting in the syndrome Colony Collapse Disorder (CCD). This syndrome has been plaguing bees and affecting commercial agriculture pollination since 1998. Many researchers have suggested that pesticides, in-hive chemicals, pathogens, etc., might be the causes of CCD. Researchers also believe that any changes in a beehive can disturb the bees, which may negatively affect their health. Honey bees are the most vital among all the animal pollinators contributing to approximately 30% of the world’s commercial pollination services. As they are of keystone importance to …

Plug-And-Play Sql, Shubham Swami

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

We present an efficient model to retrieve data from a database by implementing plug-and-play queries using the query guards. The model is efficient in the sense that it saves time when writing a query and promotes query portability and reuse. A plug-and-play query is a freestanding query that can couple to any data socket and self determine whether it can be evaluated reliably on the data. We use hierarchies to improve SQL querying in a way that eliminates the need to write a view to construct virtual tables or a set of tables to run a query. The hierarchy is …

Metaxmorph: Hierarchical Transformation Of Data With Metadata, Shubham Airan

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

This research is about transforming data. Data comes in different shapes; it can be structured as a graph, a tree, a collection of tables, or some other shape. In this thesis, we focus on data structured as a tree, which is known as hierarchical data. The same data could be structured in many different tree shapes. Previously it was shown how to transform data from one tree shape, one hierarchy to another without losing any information. But sometimes the pieces of the hierarchy are annotated or associated with metadata, that is, with data about the data itself. The metadata can …

Deep Learning Data And Indexes In A Database, Vishal Sharma

All Graduate Theses and Dissertations, Spring 1920 to Summer 2023

A database is used to store and retrieve data, which is a critical component for any software application. Databases requires configuration for efficiency, however, there are tens of configuration parameters. It is a challenging task to manually configure a database. Furthermore, a database must be reconfigured on a regular basis to keep up with newer data and workload. The goal of this thesis is to use the query workload history to autonomously configure the database and improve its performance. We achieve proposed work in four stages: (i) we develop an index recommender using deep reinforcement learning for a standalone database. …

Socio-Technical Perspective For Electronic Tax Information System In Tanzania, Lucas Ngowi, Ellen Kalinga

Tanzania Journal of Engineering and Technology (TJET)

Socio-technical systems theory has rarely been used by system architects in setting up computing systems. However, the role of socio-technical concepts in computing, which is becoming social in nature, has made the concepts more relevant and commercial. Tax information systems are examples of such systems because they are influenced by external variables such as the political environment, technological trends, and social environment, introducing complexity in their deployment and determining the type of e-services and their delivery to a diverse group of people. It was observed that in Tanzania there is resistance, reluctance and minimal use of electronic tax system because …

Socioapp: Detecting Your Sociability Status With Your Smartphone, Aaron Walker, Dheryta Jaisinghani Ph.D., Sarah Diesburg Ph.D.

Summer Undergraduate Research Program (SURP) Symposium

We are still recovering from the pandemic’s psychological effects and figuring out how to break out of our quarantine. Students may not realize they have antisocial behaviors that have a negative affect on students’ grades. Our smartphones are packed with sensors that can help us to passively detect social status of a subject and propose prospective remedies. Our hypothesis is that you are social when co-doing certain activities like walking and talking. Thus, we begin with detecting activities such as, walking, sitting, and cooking using the movement sensors accelerometer and gyroscope; then, we detect proximity with another person using the …

On The Vulnerability Of Openthread To Agile Denial Of Service Attacks, Casey Cronin, Sarah Diesburg Ph.D., Dheryta Jaisinghani Ph.D.

Summer Undergraduate Research Program (SURP) Symposium

The Internet of Things (IoT) includes physical devices such as sensors, connected home appliances, video monitoring systems, and smart classroom or smart warehouse applications. These devices can capture large amounts of data while using low amount of power to do it, as well as keep track of things going on around it and turn it into usable data for the user depending on what task it is performing.

IoT devices are not immune from security concerns, such as Denial of Service (DoS) attacks. These attacks are important to investigate because they can play a dangerous role in shutting down applications, …

Probability Distributions For Elliptic Curves In The Cgl Hash Function, Dhruv Bhatia, Kara Fagerstrom, Max Watson

Mathematical Sciences Technical Reports (MSTR)

Hash functions map data of arbitrary length to data of predetermined length. Good hash functions are hard to predict, making them useful in cryptography. We are interested in the elliptic curve CGL hash function, which maps a bitstring to an elliptic curve by traversing an inputdetermined path through an isogeny graph. The nodes of an isogeny graph are elliptic curves, and the edges are special maps betwixt elliptic curves called isogenies. Knowing which hash values are most likely informs us of potential security weaknesses in the hash function. We use stochastic matrices to compute the expected probability distributions of the …

Human-Centered Cybersecurity Research — Anthropological Findings From Two Longitudinal Studies, Anwesh Tuladhar

USF Tampa Graduate Theses and Dissertations

Cybersecurity is a pressing issue. Researchers have proposed numerous security solutions over the years in order to combat security issues but it is still common to find known, well understood security issues in production environments. In this thesis, I seek to find the underlying reasons to why existing security solutions and best practices are not consistently applied and how to improve the utilization of secure best practices. To this end, I adopt the anthropological research method of long term participant observation and embed myself in real-world settings in order to understand the existence of security issues and the perception of …

Graphical Models In Reconstructability Analysis And Bayesian Networks, Marcus Harris, Martin Zwick

Complex Systems Faculty Publications and Presentations

Reconstructability Analysis (RA) and Bayesian Networks (BN) are both probabilistic graphical modeling methodologies used in machine learning and artificial intelligence. There are RA models that are statistically equivalent to BN models and there are also models unique to RA and models unique to BN. The primary goal of this paper is to unify these two methodologies via a lattice of structures that offers an expanded set of models to represent complex systems more accurately or more simply. The conceptualization of this lattice also offers a framework for additional innovations beyond what is presented here. Specifically, this paper integrates RA and …

The Mystery Of The Dancing Men, Manmohan Kaur

Journal of Humanistic Mathematics

In this paper I describe an activity based on a 1903 Sherlock Holmes murder mystery, in which a substitution cipher is used to encrypt secret messages. The story provides a fun and interesting way to talk about frequency analysis, and can be used as a segue into mathematical constructs such as modular arithmetic and computation. The activity is accessible to ages twelve and above, and has been successfully used in mathematics outreach and popularization efforts as well as in general education and mathematics courses.

Boolean Logic Algebra Driven Similarity Measure For Text Based Applications, Hassan I. Abdalla, Ali A. Amer

All Works

In Information Retrieval (IR), Data Mining (DM), and Machine Learning (ML), similarity measures have been widely used for text clustering and classification. The similarity measure is the cornerstone upon which the performance of most DM and ML algorithms is completely dependent. Thus, till now, the endeavor in literature for an effective and efficient similarity measure is still immature. Some recently-proposed similarity measures were effective, but have a complex design and suffer from inefficiencies. This work, therefore, develops an effective and efficient similarity measure of a simplistic design for text-based applications. The measure developed in this work is driven by Boolean …

The Is Social Continuance Model: Using Conversational Agents To Support Co-Creation, Naif Alawi

USF Tampa Graduate Theses and Dissertations

With the rise of Agentic IS Artifact and the increasing integration of this technology within organizations, our understanding of the impact of this technology on individuals remains limited. Although IS use literature provides important guidance for organization to increase employees’ willingness to work with new technology implementations, the utilitarian view of prior IS use limits its application in light of the new evolving social interaction between humans and Agentic IS Artifacts. To that end, we contribute to the IS use literature by implementing a social view to understand the impact of Agentic IS Artifacts on an individual’s perception and behavior. …

A Wireguard Exploration, Alexander Master, Christina Garman

CERIAS Technical Reports

Internet users require secure means of communication. Virtual Private Networks (VPNs) often serve this purpose, for consumers and businesses. The research aims of this paper were an analysis and implementation of the new VPN protocol WireGuard. The authors explain the cryptographic primitives used, build server and client code implementations of WireGuard peers, and present the benefits and drawbacks of this new technology. The outcome was a functional WireGuard client and server implementation, capable of tunneling all Internet traffic through a cloud-based virtual private server (VPS), with minimal manual configuration necessary from the end user. The code is publicly available.

Raising Algorithm Bias Awareness Among Computer Science Students Through Library And Computer Science Instruction, Shalini Ramachandran, Steven Matthew Cutchin, Sheree Fu

Computer Science Faculty Publications and Presentations

We are a computer science professor and two librarians who work closely with computer science students. In this paper, we outline the development of an introductory algorithm bias instruction session. As part of our lesson development, we analyzed the results of a survey we conducted of computer science students at three universities on their perceptions about search-engine and big-data algorithms. We examined whether an information literacy component focused on algorithmic bias was beneficial to offer to students in the computational sciences and designed an instructional prototype. We studied qualitative data, including feedback from students and colleagues on our initial instruction …

A Look Into User Privacy And Third-Party Applications In Facebook, Sovantharith Seng, Mahdi Nasrullah Al-Ameen, Matthew Wright

Computer Science Faculty and Staff Publications

Purpose

A huge amount of personal and sensitive data are shared on Facebook, which makes it a prime target for attackers. Adversaries can exploit third-party applications connected to a user’s Facebook profiles (i.e. Facebook apps) to gain access to this personal information. Users’ lack of knowledge and the varying privacy policies of these apps make them further vulnerable to information leakage. However, little has been done to identify mismatches between users’ perceptions and the privacy policies of Facebook apps. This paper aims to address this challenge in the work.

Design/methodology/approach

The authors conducted a lab study with 31 participants, where …

Amplification Of Hidden Periodic Motions In 3d Videos, Thomas Boccuto, Seraiah Kutai, Kristen Mosley, Samuel Kirk

Mathematics Summer Fellows

Ordinary videos capture a surprising amount of hidden, visually imperceptible information. For instance, videos of peoples' faces may capture color changes in the skin and artery motion from heartbeats, while videos of mechanical systems can capture subtle vibrations indicating imminent failure. Algorithms can extract and exaggerate these signals for visualization on top of the original videos. In particular, Eulerian magnification algorithms sidestep the need to track hidden motions directly and instead devise multiscale bandpass filters to amplify signals in local spatial regions. In this work, we extend these techniques beyond color videos to geometric video data captured by 3D depth …

Computational Studies Of Carbon Nanocluster Solidification, Chathuri C. Silva

Dissertations

A subset of micron-size meteoritic carbon particles formed in red giant atmospheres show a core-rim structure, likely condensed from a vapor phase into super-cooled carbon droplets that nucleated graphene sheets (~40Å) on randomly oriented 5-atom loops during solidification, followed by coating with a graphite rim. Similar particles form during slow cooling of carbon vapor in the lab.

Here we investigate the nucleation and growth of carbon rings and graphene sheets using density functional theory (DFT). Our objectives: (1). explore different computational techniques in DFT-VASP for various carbon structures and compare the results with literature, (2). investigate the nucleation and growth …

Threshold Concepts In Web Development: The Impact Of Education And Experience On The Perceptions Of Practitioners, Michael Lee Mick

College of Computing and Digital Media Dissertations

The Threshold Concepts (TCs) framework posits characteristics of critical concepts that enable a learner to see things in a new and unforgettable way that allows the incorporation of cognitive approaches and skills needed by professionals in the discipline. All previous research has been qualitatively oriented toward discovery of candidate TCs, without, so far, quantitative studies of the candidate TCs recognition within the professional ranks. An underrepresented group in previous research is that of Web development professionals.

This proposal describes initial quantitative research utilizing the TCs framework in the Web development area to measure the perception of candidate TCs by professionals …

Energy Optimization In Multi-Uav-Assisted Edge Data Collection System, Bin Xu, Lu Zhang, Zipeng Xu, Yichuan Liu, Jinming Chai, Sichong Qin, Yanfei Sun

Student Published Works

In the IoT (Internet of Things) system, the introduction of UAV (Unmanned Aerial Vehicle) as a new data collection platform can solve the problem that IoT devices are unable to transmit data over long distances due to the limitation of their battery energy. However, the unreasonable distribution of UAVs will still lead to the problem of the high total energy consumption of the system. In this work, to deal with the problem, a deployment model of a mobile edge computing (MEC) system based on multi-UAV is proposed. The goal of the model is to minimize the energy consumption of the …

Dan Farkas, Dan Farkas

Oral History

Dan Farkas has taught on the Pleasantville campus of Pace University since 1977.

Adaptable And Reusable Educational ‘Bricks’ For Teaching Computer Science Ethics, Andrea Curley, Damian Gordon, Ioannis Stavrakakis, Anna Becevel, J.P. Gibson, Dympna O'Sullivan

Conference papers

No abstract provided.

Secure Coding In Five Steps, Mini Zeng, Feng Zhu

Journal of Cybersecurity Education, Research and Practice

Software vulnerabilities have become a severe cybersecurity issue. There are numerous resources of industry best practices available, but it is still challenging to effectively teach secure coding practices. The resources are not designed for classroom usage because the amount of information is overwhelming for students. There are efforts in academia to introduce secure coding components into computer science curriculum, but a big gap between industry best practices and workforce skills still exists. Unlike many existing efforts, we focus on both the big picture of secure coding and hands-on projects. To achieve these two goals, we present five learning steps that …

Observations, Evaluations, And Recommendations For Deterlab From An Educational Perspective, Ahmed Ibrahim, Vitaly Ford

Journal of Cybersecurity Education, Research and Practice

DETERLab is a cluster environment that provides a set of virtual machines that can be used by researchers and teachers to run cybersecurity experiments and competitions, and where it is possible to deploy different network configurations to research attack and defense mechanisms in the cyber world. While we were working to develop a pathway for producing more usable and effective cybersecurity educational resources by investigating and examining several projects, we examined DETERLab as a prospective platform to use in the classroom. Throughout our experimentation, we faced challenges that we decided to document in order to help other educators use the …

An Exploratory Study Of Mode Efficacy In Cybersecurity Training, Michael D. Workman

Journal of Cybersecurity Education, Research and Practice

Cybersecurity capabilities in organizations and governmental agencies continue to lag behind the threats. Given the current environment, these entities have placed renewed emphasis on cybersecurity education. However, education appears to lack its full potential in most settings. Few empirical studies have systematically tested the efficacy of various training methods and modes, and those that have been conducted have yielded inconsistent findings. Recent literature on the use of gamified simulations have suggested that they may improve cybersecurity behaviors. Similarly, live activities such as hackathons and capture the flag events have been surmised to augment learning and capabilities. We conducted an exploratory …

Collaborative Development Of Spatial Audio Virtual Environments, George V. Landon, Austin K. Jaquith

Frameless

Access to the newest features of Virtual Reality headsets has become increasingly more accessible to student developers in recent years. Manufacturers are competing to support all available device features not just through their Software Development Kits (SDKs), but also integrated into industry-standard game engines. One particular feature, spatial sound, can now be deployed without directly accessing the SDK but instead modifying deployment settings and selecting checkboxes. This accessibility to new VR developers has opened up new opportunities for inter-disciplinary collaborations within constrained development cycles like an academic semester.

Rotateentry: Controller-Rolling-Style Text Entry For Three Degrees Of Freedom Virtual Reality Devices, Ziming Li, Roshan Peiris

Frameless

In this work, we propose RotateEntry, a controller-rolling-style method for text entry on three degrees of freedom virtual reality devices. To move the key-selecting cursor in two dimensions on a QWERTY layout virtual keyboard, we developed three variants of RotateEntry: Rotate Column Rotate, Rotate Key, and Rotate Column Point. We conducted a comparative empirical evaluation of the four text input methods, including three proposed controller-rolling-style text input methods and the standard raycasting-style one. Text entry performance, accuracy, workload, usability, and user experience were tested and evaluated. Due to the COVID-19 situation, our study was conducted remotely. The impact of using …

Vr Cinema, Simarjot Khanna

Frameless

A virtual reality cinema experience using a decent smartphone and Google Cardboard or similar inexpensive VR Headsets.