Digital Commons Network^™

Multimodal Techniques For Malware Classification, Jonathan Jiang

Master's Projects

The threat of malware has remained a serious concern for computer networks and systems, highlighting the need for accurate classification techniques. This research adopted the structured nature of PE files incorporated with a multi-modal machinelearning approach, to classify malware types. Features extracted from the PE headers were used to train an LSTM model. Features extracted from the PE sections were used to train a CNN model. Probabilities produced from these two models were then concatenated and fed into an SVM classifier. This multi-modal approach demonstrated high accuracy by experimenting with and verifying the approach on a large and labeled dataset. …

Unlv Title Iii Aanapisi & Mcnair Scholars Institute Research Journal 2024, Jesica Godinez-Paredes, Kian Hassankhan, Apia Hickman, Robin Ruth Kee, Kevin Ayala Pineda, Briana Melendez, Kalli Ramos, Saturn L. Reyes, Fabian Leija, Selena Pepe, Silva Topchyan, Celeste Ainsley, Mayra Arzate, Jessica Balistreri, Zantana Ephrem, Mirella Jasso, Karl Panou, Nichole Pelaez, Miklo Alcala, Akshay Dave, Mey Mey Heng, Michael Finkle, Janessa Montenegro, Reynafe Naol Aniga, Victor Mejia, Angelica G. Diaz, Anayeli Flores-Garibay, Kari Lee Joe Goold, Samantha Hernandez, Lianelys Cabrera Martinez, Caitlin Reynolds, Kimberly N. Usbeck, Abdulrahman Alahdal, Angelica Diaz, Willaine Mae Kahano, Raquel Jackson, Cecia Ruiz-Hernandez, Kers Ung-Watson, Yessenia Henriquez, Vanessa Marie Booth, Alexia Brown, Darlyn Magana, Bianca Navarro, Nicholas Pereira, Gia Renemae Calip, Lucky Heng, Ralph Sagun, Lucas Abreu, Alexandra Maria Acosta, Tristan Benally, Cosset Hernandez Pena, Adrian Montenegro, Cierra Paaaina-Daquioag, Nicole Torosian, Tracy Fuentes, Julissa Martinez, Medina Mcallister, Michal Newhouse-Van Vlerin, Tiria Carr, Nima Abkenar, Isabella Aceituno, Yuhan Bi, Victoria Campos, Melika Cummings, Zachary J. Johnigan, Alexis Sotolongo-Marin

McNair Journal

Journal articles based on research conducted by undergraduate students in the AANAPISI, LSAMP, and McNair Scholars Program.

Table of Contents

About AANAPISI

Dr. Chris Heavey, Interim President

Dr. Keith Rogers, Vice President for Student Affairs

Ms. Zhanna Aronov, Associate Vice President for Retention & Outreach

A Review Of Textmining Techniques: Trends, And Applications In Various Domains, Hiba J. Aleqabie, Mais Saad Sfoq, Rand Abdulwahid Albeer, Enaam Hadi Abd

Iraqi Journal for Computer Science and Mathematics

Text mining, a subfield of natural language processing (NLP), has received considerable attention in recent years due to its ability to extract valuable insights from large volumes of unstructured textual data. This review aims to provide a comprehensive evaluation of the applicability of text mining techniques across various domains and industries. The reviewstarts off with a dialogue of the basic ideas and methodologies that are concerned with textual content mining together with preprocessing, feature extraction, and machine learning algorithms. Furthermore, this survey highlights the challenges faced at some stage in implementing textual content mining strategies. Additionally, the review explores emerging …

Ai-Based Defect Detection In Aerospace Ultrasonic Signals, Rami Issac Lake

Graduate Research Theses & Dissertations

Ensuring the safety and integrity of materials and structures throughout the manufacturing cycle is a critical concern across various industries, including aerospace, automotive, oiland gas, and civil engineering. Non-Destructive Inspection (NDI) techniques allow for the examination of materials without causing damage or alteration, enabling the early detection of potential issues before materials are utilized in the field. The inspection of fuselage composites presents a particular challenge due to their complex structures, diverse materials, and differences in thickness, making defect detection a challenging yet crucial task. Moreover, defects of various types and causes can emerge across all depths of the material …

Perceptions Of Lightboard Videos On Engineering Students' Engagement For Learning: A Mixed-Methods Case Study, Rana Sanyal

Graduate Research Theses & Dissertations

Purpose. Researchers have recommended using comprehensive visual materials in engineering courses, as visuals instill more information in students than auditory information and they have the ability to engage students more effectively than other types of content and to convey the nuances of non-verbal communication. The purpose of this study was to explore the perceptions of engineering students on incorporating technologically advanced video course materials (TAVCM) created with lightboard technology on their engagement in learning. Theoretical Framework. The theoretical framework was based upon an integrative learning environment that incorporated many theories of cognitive learning. The Cognitive Theory of Multimedia Learning (CTML) …

Genetic Engineering Of Escherichia Coli For The Production Of Riboflavin, Adeyemi Adesanwo

Graduate Research Theses & Dissertations

Riboflavin, a water-soluble vitamin B2, is essential for the growth and reproduction of living organisms. However, humans and animals lack a riboflavin synthesis pathway and must rely on diets derived from plants and microbes for this essential vitamin. To meet our needs for vitamin B2, industrial riboflavin production is currently being pursued using strains of Bacillus subtilis. The fermentation process is successful, but improvements are needed for better substrate-to-product conversion yield. To this end, it is imperative to develop alternative microbial strains for cost-effective riboflavin production.

Due to its simple growth requirement, well-understood genetic background, and widely available genetic tools, …

Enhancing Microwave Disinfection: Impact Of Sodium Chloride On Microbial Inactivation, Saleh A. Alfawaz, Ibrahim Nasser I. Alquaydheb, Amirreza Ghadimi Avval, Sara Ghayouraneh, Samir M. El-Ghazaly, Jianhong Zhou

Electrical Engineering and Computer Science Faculty Publications and Presentations

This study explores the role of sodium chloride (NaCl) in enhancing the efficiency of microbial inactivation using microwave energy with two distinct methods: temperature-controlled treatment and predefined cycle. The primary objective is to maintain a stable temperature within the biological samples during treatment. Detailed descriptions of the treatment system’s design and the function of each element are provided. Simulations are conducted to illustrate the heating behavior of liquids with and without NaCl, revealing significant differences in temperature profiles between the two media. The experimental design and the objective behind each iteration are discussed. The experimental design includes three different power …

Framework Of Internal Damage Identification In Inhomogeneous Medium Interweaving Wave Scattering Model And Deep Learning, Suyun Ham, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David

Data

The primary objective of this project is to investigate the framework of internal damage identification in inhomogeneous media (IHM) using deep learning techniques and wave scattering. The study focuses on two main steps: 1) analyzing the wave response pattern in homogeneous media (HM) and 2) characterizing the wave response variation (WRV) in IHM with different aggregate sizes and random distributions. The WRV patterns are then classified and used to predict internal damage using a convolutional neural network (CNN). The accuracy of the finite element (FE) model is verified using laboratory tests with artificial internal crack models of varying depths. The …

Exploring Older Adults’ Mobility Challenges And Preferences Before And After Experiencing Covid-19 Pandemic, Hany Hassan, Bernard Boakye

Publications

The US Census Bureau reports that the number of seniors (65+ years old) in the US is predicted to increase from 16.5% in 2019 to 22% by 2050. However, seniors have reduced mobility as they age due to their declining health and the limited travel options available. Therefore, it is crucial to solve their transportation needs during pandemics like COVID-19 when they are most disadvantaged. This study involved an online national survey that collected 1507 responses from seniors in all the 50 US states to examine their travel behavior and challenges and their willingness to adopt Autonomous Vehicles before and …

Leveraging Technology For Safer Roads For Vulnerable Road Users In South Africa, Ntombifuthi Ngobeni, Busisiwe Marole, Koketso Bosilong, Hlulani Nkuna

Kentucky Transportation Center Presentations

This research aims to enhance road safety, particularly for Vulnerable Road Users (VRUs) such as pedestrians and cyclists, through the use of both cutting-edge technologies and consideration of conventional engineering methods and solutions. The study focuses on innovative solutions related to the road environment and their impact on VRU safety, piloted at selected sites in South Africa. The research investigates the use of technologies such as video cameras, video analysis software, artificial intelligence and machine learning to conduct route risk assessments. These assessments inform the selection and implementation of effective safety measures tailored to enhance VRU safety. By understanding the …

Advancing Biological Applications Through Microfluidic-Based Tool Development, K.M. Taufiqur Rahman

Electronic Theses and Dissertations

This research undertook an interdisciplinary approach, integrating bioengineering, microbiology, molecular biology, and systems biology to investigate bacterial dynamics behavior. Specifically, it delved into the development of microfluidic devices for biological applications such as bacterial cell counts, real-time observation of plant roots (here, specialized lectin-coated microbeads are used that mimic root characteristics), and soil microbe interactions. Furthermore, Next-Generation Sequencing and systems biology methodologies were employed to explore the intricate, multifaceted survival mechanisms of Escherichia coli persister population. Studying and quantifying persisters or testing for the existence of VBNC (viable but nonculturable) is challenging. These experiments require precise counts. It has been …

Parametric Study Of Protodune - I And Protodune - Ii Single-Phase Neutrino Detectors Using Computational Fluid Dynamics, Sahil Sharma

Electronic Theses and Dissertations

Computational fluid dynamics (CFD) models of two designs of ProtoDUNE single-phase neutrino detectors were developed, refined, and analyzed. These detectors are prototypes for the full-sized far detectors that are part of the Deep Underground Neutrino Experiment (DUNE), an international research collaboration aimed at better understanding of neutrinos and the role they play in our universe. Representative simplified models of the complex geometries of the prototype detectors were created using commercial modeling software, Dassault System’s SolidWorks, and these simplified models were imported to the commercial CFD program SimCenter Star-CCM+®. The baseline parameters including inlet temperatures, ambient temperature, electronic heat load, liquid …

Underwater Nitrate Monitoring With Wireless Flexible Sensor Networks, Shah Zayed Riam

Electrical Engineering Theses

This study introduces a sophisticated sensor array engineered for comprehensive monitoring of water quality, thereby addressing the pressing need for effective environmental conservation and water resource management. The array encompasses sensors for nitrate, pH, and temperature, seamlessly integrated into a unified flexible platform capable of wireless data transmission for real-time monitoring applications. Employing potentiometric detection methods, the nitrate and pH sensors offer robust analytical capabilities, while the temperature sensor operates on resistive principles.

The nitrate sensor, constructed using a novel nanocomposite comprising poly(3-octyl-thiophene) (PoT) and molybdenum disulfide (MoS₂), exhibits a sensitivity of -50 mV against every decade change …

Combating Disinformation On Social Media Networks With Media And Information Literacy Training For Social Media Network Users, Oscar Kwok Chao Ho

CCAC Theses and Dissertations

In the Internet age, social media networks (SMNs), such as Facebook (FB), Instagram (IG), and Twitter (TW), have gained popularity and become an essential part of human life. SMNs provide ease of connection to family, friends, and communities; however, they increase the chances social media network users (SMN users) will disclose private information (PI), causing critical harm to SMN users’ information privacy (IP). Furthermore, SMN users are exposed to significant amounts of disinformation, misinformation, or fake news, which they share without realizing the information is untrustworthy.

The goal of this developmental research was to investigate, examine, and understand the effects …

Maximizing Mining Operations: Unlocking The Crucial Role Of Intelligent Fleet Management Systems In Surface Mining’S Value Chain, Arman Hazrathosseini, Ali Moradi Afrapoli

Earth and Environmental Sciences Faculty Publications

On the one side, the operational expenses of mining enterprises are showing an upward trend; and on the other side, conventional mining fleet management systems (FMSs) are falling short in addressing the high-dimensionality, stochasticity, and autonomy needed in increasingly complex operations. These major drivers for change have convinced researchers to search for alternatives including artificial-intelligence-enabled algorithms recommended by Mining 4.0. The present study endeavors to scrutinize this transition from a business management point of view. In other words, a literature review is carried out to gain insight into the evolutionary trajectory of mining FMSs and the need for intelligent algorithms. …

Optimizing Anaerobic Digestion Of Food Waste And Industrial Sludge For Biogas Production, Emma R. Murray

Honors College Theses

Food waste is a major contributor to municipal solid waste, and its disposal at landfills has significant environmental and economic impacts. Opportunities need to be identified for the sustainable management of food waste at large scales. Pulp and paper mills throughout the country commonly use anaerobic digestion to treat their waste sludge; however, this sludge can consist of over 50% lignin, which is slowly or negligibly digested. This research aims to explore the sustainability of co-digestion of food waste and paper mill sludge. Lab-scale studies were used to assess the feasibility of anaerobic digestion by measuring treatment efficiencies and biogas …

The Role Of Smart Systems In Conservation On Sustainability Of Heritage Buildings, Aml Abd El-Wareth Mohamed

Mansoura Engineering Journal

Abstract— Historic cities with challenges in trying to integrate their heritage buildings to keep pace with the age of technology, by developing a vision for an intelligent environment (IE) of the future that would integrate smart systems for conservation on heritage. Recent, information and communications technology (ICT) progress has diverse smart heritage solutions, enhancing efficiency, sustainability, and longevity for future generations. Research problem includes challenging the possibility of integrating smart systems into heritage buildings while conserving its values, identity, and using it effectively, sustainably manner, also no comprehensive model for smart technology integration in heritage buildings for automation and control …

An Innovative Covid-19 Patient Recognition Framework, Shereen H. Ali

Mansoura Engineering Journal

A virus called COVID-19 has caused devastation throughout the world and is still putting people's lives in jeopardy. It is important to identify COVID-19 patients as soon as possible so that they can be treated and kept from spreading. A new framework for recognizing COVID-19-infected individuals would be provided in this study. The patient’s recognition framework (PRF) is a term used to describe a method for detecting patients. The PRF consists of three stages, which are: the pre-processing stage (P2S), the feature selection stage (FS2), and the classification stage (CS). The P2S extracts a collection of features from CT chest …

Design And Construction Of A Novel Reciprocating Pin-On-Plate Wear Testing Machine, Yasser S. Mohamed, Ahmed Abdelbary

Mansoura Engineering Journal

This manuscript introduces a new pin-on-plate tribometer established for a study of the tribological behavior of materials at a constant sliding speed. The originality of this test rig lies in its capability to perform six independent tests at the same time. Wear tests can be conducted with high reliability and low error thanks to the high rigidity of the machine. The reciprocating motion of the counterface was designed to be in an arc path. The tribometer has the facility of changing the applied load and the length of the wear path. The test machine can used to perform both dry …

Vertical Farming: A Key To Sustainable Compact Cities, Mohab Taher Abdelfatah, Sahar Mahmoud El-Arnaouty, Akram Abdelhakim Zayan

Mansoura Engineering Journal

Urbanization continues to surge, with projections indicating that by 2050, around 70 percent of the global population will reside in urban areas. In response, urban planners are exploring novel urban paradigms to ensure food security through urban agriculture, a cornerstone of sustainable development encompassing environmental, economic, and social dimensions. This study addresses a critical research gap within urban agriculture, conducting a comparative analysis between horizontal and vertical farming methodologies within urban contexts. By categorizing various typologies of vertical farming, from container farms to mixed-use structures, this research highlights their distinct contributions to sustainable urban development. Emphasis is placed on vertical …

Knowledge Gap Analysis For Efficient Form-Finding Of Lightweight Structures, Shorouk Mohamad Khedr, Mohamed Esmat Elattar, Ahmed Eltantawy, Esraa Elazab

Mansoura Engineering Journal

Historically, Performance assessment of temporary structures’ form was substantially dependent on how loads transfer along geometry. Fortunately, the development of tools has enabled designers to explore more design variations as well as testing their feasibility. This study aims to address the knowledge gap between design process, tool contributions and feasibility requirements of temporary structures. This will be achieved through analyzing the evolution of temporary structures’ design approaches including early form finding approaches, geometrical properties dependencies, reflections of both bottom -top and top-bottom approach as well as linking them to material innovations, structural contributions and manual experiments. As a result, the …

Muscle Activation And Coordinated Movements Of Infant Rolling, Danielle N. Siegel, Safeer F. Siddicky, Wyatt D. Davis, Erin M. Mannen

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Rolling is a critical step of infant development, encouraging muscle coordination and enabling independent exploration. Understanding muscle activity during infant rolling movements on a flat surface is necessary to more fully characterize how the rolling milestone is achieved. The purpose of this study was to determine infants’ muscle activation throughout roll initiation for six previously established coordinated movements. Thirty-eight healthy infants (age: 6.5 ± 0.7 months; 23M/15F) were enrolled in this IRB-approved in-vivo biomechanics study. Surface electromyography sensors recorded muscle utilization from the erector spinae, abdominal muscles, quadriceps, and hamstrings while infants rolled. Each rolling movement was categorized as one …

Performance Reliability And Safety Index For Region Vii Highways, Aemal J. Khattak, Mm Shakiul Haque, Li Zhao

Mid-America Transportation Center: Final Reports and Technical Briefs

Roadway performance measures are used for operating, planning, and design purposes to improve services for road users. Simple statistics of the performance metrics such as measures of central tendency (e.g., mean, median) are often used for making operational and planning decisions. Even though such statistics are useful, they are, more than often, not comprehensive enough for making insightful operational and planning decisions. Consequently, performance reliability measures, which attempt to capture the day-to-day variability in performance, have the potential to benefit the areas of operation, planning, and design. Traffic data from Intelligent Transportation System facilitates the measurement of the reliability of …

Inconclusive Objects: Sample Making As Inquiry-Driven Practice, Etta Sandry

Textile Society of America: Symposium Proceedings

In Inconclusive Objects: Sample Making as Inquiry-driven Practice I will discuss craft sample making as a valuable practice of critical thought and experimentation. Craftspeople, artists, and designers make samples to practice technical skills and to demonstrate results on small scales. It is process work, typically used to learn a new technique or a hidden step on the way to a final product. However, as a cumulative process of research, material probing, and play, sampling is a critical aspect of design and creation. What can a closer study of sampling reveal about creative practice and knowledge production in craft and beyond? …

Dynamics Of Cell Membrane Lesions And Adaptive Conductance Under The Electrical Stress, Mantas Silkunas, Olga N. Pakhomova, Giedre Silkuniene, Andrei G. Pakhomov

Bioelectrics Publications

Exceeding physiological limits of the cell membrane potential compromises structural integrity, enabling the passage of normally impermeant solutes and disrupting cell function. Electropermeabilization has been studied extensively at the cellular scale, but not at the individual membrane lesion level. We employed fast total internal reflection fluorescence (TIRF) imaging of Ca(2+) entry transients to discern individual lesions in a hyperpolarized cell membrane and characterize their focality, thresholds, electrical conductance, and the lifecycle. A diffuse and momentary membrane permeabilization without a distinct pore formation was observed already at a -100 mV threshold. Polarizing down to -200 mV created focal pores with a …

Social Media Bot Detection Using Dropout-Gan, Anant Shukla

Master's Projects

Bot activity on social media platforms is a pervasive problem, undermining the credibility of online discourse and potentially leading to cybercrime. We propose an approach to bot detection using Generative Adversarial Networks (GAN). We discuss how we overcome the issue of mode collapse by utilizing multiple discriminators to train against one generator, while decoupling the discriminator to perform social media bot detection and utilizing the generator for data augmentation. We demonstrate that our approach outperforms---in terms of accuracy---the state-of-the-art techniques in this field. We also show how the generator in the GAN can be used to evade such a classification …

Zookeeper Through The Ages: A Comparative Performance Analysis Of Evolutionary Versions, Ashish Khanchandani

Master's Projects

The rise in the need for scalable, fault-tolerant, and high-performance systems is the primary factor driving the developments in distributed computing. However, the proliferation of distributed computing creates significant difficulties. In an internet- scale setting where errors and network delays are frequent, coordinating distributed applications presents difficulties that ZooKeeper attempts to solve. It ensures several crucial characteristics that guarantee reliability and consistency. However, performance and latency play a huge part when it comes to dealing with systems built for handling very high loads. ZooKeeper has very low latency for read-heavy workloads, making it suitable for real-time applications. These factors contribute …

A Two-Stage Machine Learning Approach For Fake News Detection And News Article Categorization, Snegdha Adusumilli

Master's Projects

This project employs machine learning techniques to develop a sequential model for detecting and categorizing fake news, aiming to mitigate its proliferation in today's digital landscape. The model operates in two phases: in the first phase, the classification algorithms like Naïve Bayes, XGBoost and Random Forest are used to distinguish between true and false news stories and in the second phase the capabilities of Naïve Bayes, XGBoost, Random Forest, and the Transformer-based BERT (Bidirectional Encoder Representations from Transformers) model are leveraged to further categorize the news into specific topics.

The methodology encompasses several key steps: data acquisition, preprocessing, feature extraction, …

A Censorship Resistant News Website Using The Ethereum Blockchain, Hoang Lai

Master's Projects

Misleading information, false claims, and fabricated news articles not only misguide readers but also undermine the trustworthiness of the news platforms themselves. The blockchain provides decentralized, immutable data storage and offers a promising solution to prevent censorship on news websites. Compared to traditional news websites, a decentralized application (dApp) offers benefits such as greater stability and resistance to information manipulation. A decentralized web app is harder to attack than centralized servers since the database is stored across a blockchain network. Moreover, blockchain prevents censorship by letting readers check data across all blocks in the Blockchain, which is good for a …

Credit Score-Based Lending System On The Ethereum Platform, Mayuri Shimpi

Master's Projects

Traditional banking systems act as intermediaries, assessing risks and profiting from interest rate differentials. Credit scores, provided by trusted bureaus, are commonly used to evaluate the creditworthiness of borrowers. Cryptocurrencies have emerged as a significant and innovative medium due to their decentralized nature, operating without reliance on a central authority, such as a government.

This report describes a project to implement the Autonomous Lending system on the Ethereum Platform (ALOE), as proposed in [1], aiming to seamlessly integrate traditional credit scoring methodologies for evaluating a borrower's risk of default. The objective of this project report is to establish a robust …