Engineering Commons^™

Research On Theoretical Framework Of Simulative Experiment Evalution For Intelligent Unmanned Swarm Cooperation, Jipeng Wang, Xing Zhang, Hao Wu, Yu Gu, Huijie Yang

Journal of System Simulation

Abstract: As a typical representative of intelligent equipment, the technology, equipment and combat applications of intelligent unmanned swarm are being promoted globally. However, the research on experimental theory of unmanned swarm lags behind the technology and equipment in general. The emergence of swarm ability and complexity of confrontation of unmanned swarm, the nonrepeatability and non-generalization of swam experiment take great challenge to the basic theory and methods of unmanned swarm. The four experimental models including intelligent technology, intelligent equipment, intelligent swarm, and intelligent sos(system of systems) experiment from the perspective of system engineering and the whole life cycle of equipment …

Research On Dynamic Scene Slam Based On Improved Object Detection, Lanxi Shi, Wenxu Yan, Hongyu Ni, Feng Zhao

Journal of System Simulation

Abstract: Aiming at the epipolar constraint matching problem of monocular SLAM in dynamic scenes a dynamic feature point selection method based on object detection is proposed, in which the dynamic feature points in the front-end image frame of SLAM system is eliminated during feature extraction to improve the localization accuracy of SLAM. An improved target detection network is proposed to construct a loss function to describe the bounding box by using the overlap area, distance similarity and cosine similarity, which can achieve the accurate localization of target objects and obtain the range of object feature points in the current image …

Study On Forest Fire Visual Analysis Method For Extinguishing Command In Virtual Environment, Benrun Zhang, Weiqun Cao

Journal of System Simulation

Abstract: Aiming at the demand of forest fire fighting command, the information required for the command, such as geographical environment, meteorological conditions, forest resources and forest fire behavior are comprehensively analyzed, and the data visualization visual analysis method in the virtual forest fire environment is designed and realized. Wang Zhengfei-3D mixed cellular automata model is used to simulate the process of forest fire spread and the difference time method is adopted to predict the forest fire spreading behavior. The change of environmental data in different interest domains is captured in real time, and the multi-view panel and overlay layers are …

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 …

Asl-Catboost Method For Wind Turbine Fault Detection Integrated With Digital Twin, Hongtao Liang, Lingchao Kong, Guozhu Liu, Wenxuan Dong, Xiangyi Liu

Journal of System Simulation

Abstract: In view of the low visibility of the current wind farm status monitoring and insufficient realtime operation and maintenance, based on the concept of digital twin five-dimensional model, the framework of wind farm digital twin five-dimensional model is constructed. Aiming at the insufficient fault detection capability of traditional algorithms and unbalanced positive and negative samples in fan fault data set, the improved ASL-CatBoost algorithm is proposed to achieve the accurate detection of fan fault status. Based on the digital twinning platform, combined with MATLAB/Simulink, the simulation mathematical model of doubly-fed wind turbine under the condition of blade mass imbalance …

Spatial Correspondence Of Cortical Activity Measured With Whole Head Fnirs And Fmri Toward Clinical Use Within Subject, Anthony Zinos, Julie C. Wagner, Scott A. Beardsley, Wei-Liang Chen, Lisa Conant, Marsha Malloy, Joseph Heffernan, Brendan Quirk, Robert W. Prost, Mohit Maheshwari, Jeffrey Sugar, Harry T. Whelan

Biomedical Engineering Faculty Research and Publications

Functional near infrared spectroscopy (fNIRS) and functional magnetic resonance imaging (fMRI) both measure the hemodynamic response, and so both imaging modalities are expected to have a strong correspondence in regions of cortex adjacent to the scalp. To assess whether fNIRS can be used clinically in a manner similar to fMRI, 22 healthy adult participants underwent same-day fMRI and whole-head fNIRS testing while they performed separate motor (finger tapping) and visual (flashing checkerboard) tasks. Analyses were conducted within and across subjects for each imaging approach, and regions of significant task-related activity were compared on the cortical surface. The spatial correspondence between …

Influence Of Eco-Friendly Agar-Derivatives On The Electrochemical Performance Of Carbon Felts Electrodes Of Vanadium Redox Flow Battery, Abdulmonem Fetyan, Ayoob Alhammadi, Zineb Matouk, Anugrah Andisetiawan, Ahmed Bahaa

All Works

In this study, bio-derived natural agar powder was used as an electrocatalyst for application as an electrode in all‑vanadium redox flow batteries. Different concentrations of agar solution were tested, and cyclic voltammetry studies confirmed that agar loaded felts have good catalytic activity toward both redox couples V4+/V5+ at the positive and V2+/V3+ at the negative side. Energy dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy demonstrated the presence of higher amount of oxygen-functional groups on the surface of the fibers. Contact angle measurements demonstrated an enormous increase in hydrophilicity of the felts treated with agar. Long-term charge/discharge profiles revealed 6 % …

Ml/Ai Enabled Intelligent Next Generation Autonomous Network System: Performance Enhancement And Management, Harsh Kumar

Electrical and Computer Engineering ETDs

The smart next generation autonomous system for network performance enhancement and management, specifically suitable for networks like 5G, B5G, 6G, and SDN, is presented in this PhD dissertation powered by ML/AI. The dissertation has been divided into six critical parts. First, it focuses on QoS monitoring and provisioning using intelligent QoS agent design in 6G network. Second, it elaborates on LSTM and SP-LSTM comparative analysis towards network traffic prediction in 6G networks. Third, digging into 6G frontier navigation using SE-DO for intelligent Agent Optimization. Fourth, the dissertation delves into role delegation function as a service to improve reliability and latency …

Electrodeposition Of Gadolinium Metal Thin Films For Neutron Phase Contrast Imaging, Mary Louise Gucik

Chemical and Biological Engineering ETDs

A rare earth metal, gadolinium has unique magnetic properties and the largest neutron absorption cross section making it highly sought after in emerging technology. However, unlike most metals, it is difficult to work with and lacks a damascene process. When incorporated into alloys, gadolinium’s properties are muted and the film thickness must increase to account for the low concentration. Gadolinium metal films have been deposited successfully through sputter coating, but these films have density deficiencies and are limited to line-of-sight substrates. In this work, the deposition of gadolinium metal thin films was investigated for use on complex geometries via electrophoretic …

Predictive Ai Applications For Sar Cases In The Us Coast Guard, Joshua Nelson

Cybersecurity Undergraduate Research Showcase

This paper explores the potential integration of predictive analytics AI into the United States Coast Guard's (USCG) Search and Rescue Optimal Planning System (SAROPS) for deep sea and nearshore search and rescue (SAR) operations. It begins by elucidating the concept of predictive analytics AI and its relevance in military applications, particularly in enhancing SAR procedures. The current state of SAROPS and its challenges, including complexity and accuracy issues, are outlined. By integrating predictive analytics AI into SAROPS, the paper argues for streamlined operations, reduced training burdens, and improved accuracy in locating drowning personnel. Drawing on insights from military AI applications …

Mechanical Characterization And Evaluation Of Additively Manufactured Titanium 5v-5mo-5al-3cr Alloy, Zachary Casias

Mechanical Engineering ETDs

Ti-5V-5Mo-5Al-3Cr (Ti-5553) is a near beta titanium alloy commonly used in aerospace applications. It is currently being explored for additive manufacturing (AM), but the fatigue behavior of this AM alloy needs to be well-understood for adoption in aerospace applications. The present work examines the tensile and fatigue behavior of LPBF manufactured Ti-5553. The effect of post-print heat treatments, effects of surface roughness, and print defects on the mechanical properties of AM Ti-5553 were also evaluated. Fatigue lives of as-LPBF and BAA material are nearly identical, and both are far below the fatigue lives of conventionally manufactured Ti-5553 of 350 MPa. …

Decoding The Future: Integration Of Artificial Intelligence In Web Development, Dhiraj Choithramani

Harrisburg University Dissertations and Theses

The thesis explores AI's profound impact on web development, particularly in front-end and back-end processes. AI revolutionizes UI prototyping by automating design creation, enhancing both efficiency and aesthetics. It also aids in code review, content generation, and process flow experimentation, streamlining development workflows. Through AI-driven tools like GitHub's Copilot and Wix ADI, developers benefit from coding assistance and innovative design capabilities. Despite some challenges, AI's evolving role promises to reshape web development, offering unprecedented efficiency and user-centric solutions.

A Feasibility Study Of Drilling Fluid Slippage For Wellbore Displacement, John Johnson

LSU Master's Theses

In the ideal plug-flow mode viscoplastic drilling fluids display uniform frontal velocity due to wall slippage (at very low flowrate limited by the fluid’s yield strength). The flow rate could be increased by raising the yield strength that would make the fluid best candidate for frontal displacement. Based on this concept the study qualifies wall slippage effect for wellbore displacement. Using a conceptual model of fluid motion between two parallel plates defines maximum velocity as a function of shearing rate and yield stress. Conversion to coaxial geometry gives practical formulas for fluid testing with rotational viscometer. A new analysis of …

Improved Modeling And Application Of Data Assimilation In Gas Influx Management During Managed Pressure Drilling, Chen Wei

LSU Doctoral Dissertations

The management of gas influxes in a drilling well has been considered one of the most critical topics for maintaining petroleum drilling safety and efficiency. Reliable modeling of gas influx behaviors in a wellbore or a marine riser greatly benefits the improved understanding of a gas kick event and the development of optimized influx management strategies. However, the current studies on transient multiphase flow modeling show varying limitations on both the model rigorousness and the overall numerical efficiency. Meanwhile, the existence of great system uncertainties, such as the unclear influx sizes and distributions in the well/riser, has brought significant challenges …

Feasibility Of Using Combustion-Based Methods To Quantify Saline-Based Anti-Stripping Agent In Modified Asphalt Binders, Riyadul Hashem Riyad, Ji Wu, Junan Shen

Civil Engineering & Construction: Faculty Publications

“Anti-stripping Agents” or “adhesion promoters” can enhance the chemical affinity between asphalt and aggregate by increasing their mutual attraction. Various forms of anti-stripping agents have been proposed to mitigate pavement stripping, and siloxane-based Zychotherm is one of them. Choosing the appropriate type and dose of anti-stripping additives is no doubt vital to the intended performance. Therefore, it is critically important to determine the dose of the additives used in the modification of asphalt binders. This research developed a feasible detection method that can closely measure the dose (0.05% and 0.1%) of siloxane-based anti-stripping liquid agents. Related test methods, including heat …

Enhancing Cyber Resilience: Development, Challenges, And Strategic Insights In Cyber Security Report Websites Using Artificial Inteligence, Pooja Sharma

Harrisburg University Dissertations and Theses

In an era marked by relentless cyber threats, the imperative of robust cyber security measures cannot be overstated. This thesis embarks on an in-depth exploration of the historical trajectory and contemporary relevance of penetration testing methodologies, elucidating their evolution from nascent origins to indispensable tools in the cyber security arsenal. Moreover, it undertakes the ambitious task of conceptualizing and implementing a cyber security report website, meticulously designed to fortify cyber resilience in the face of ever-evolving threats in the digital realm.

The research journey commences with an insightful examination of the historical antecedents of penetration testing, tracing its genesis in …

The Role Of Attention Mechanisms In Enhancing Transparency And Interpretability Of Neural Network Models In Explainable Ai, Bhargav Kotipalli

Harrisburg University Dissertations and Theses

In the rapidly evolving field of artificial intelligence (AI), deep learning models' interpretability

and reliability are severely hindered by their complexity and opacity. Enhancing the

transparency and interpretability of AI systems for humans is the primary objective of the

emerging field of explainable AI (XAI). The attention mechanisms at the heart of XAI's work

are based on human cognitive processes. Neural networks can now dynamically focus on

relevant parts of the input data thanks to these mechanisms, which enhances interpretability

and performance. This report covers in-depth talks of attention mechanisms in neural networks

within XAI, as well as an analysis …

Enhancing Mobile App User Experience: A Deep Learning Approach For System Design And Optimization, Deepesh Haryani

Harrisburg University Dissertations and Theses

This paper presents a comprehensive framework for enhancing user experience in mobile applications through the integration of deep learning systems. The proposed system design encompasses various components, including data collection and preprocessing, model development and training, integration with mobile applications, dataset management service, model training service, model serving, hyperparameter optimization, metadata and artifact store, and workflow orchestration. Each component is meticulously designed with a focus on scalability, efficiency, isolation, and critical analysis. Innovative design principles are employed to ensure seamless integration, usability, and automation. Additionally, the paper discusses distributed training service design, advanced optimization techniques, and decision criteria for hyperparameter …

Proposed Charlotte To Atlanta High-Speed Passenger Rail Line: An Economic, Infrastructural, And Developmental Analysis In The Upstate Of South Carolina, Ian C. Macurda, Kimberly Whitehead

SC Upstate Research Symposium

This research paper is an in-depth analysis of the high-speed passenger rail line proposed between Charlotte, NC and Atlanta, GA and its impact on the economy, infrastructure, and future development of the Upstate of South Carolina. Currently, passenger rail service between Charlotte and Atlanta is offered on Amtrak at late hours throughout the night on its long-distance passenger rail line The Crescent from New York City, NY to New Orleans, LA. The train is often delayed and is operating at a deficit for Amtrak, like most of their long-distance routes. Traffic on Interstate 85 through the Upstate is another issue …

A Biocompatible Hybrid Approach For The Selection Of Gas Drainage Methods In Coal Mines Based On The Best-Worst Method And Analytic Network Process, Amir Jafarpour, Mehdi Najafi, Ali Dabagh

Journal of Sustainable Mining

Methane drainage is one of the main steps in underground coal mining projects. The operation of methane extraction from coal mines/seams is important from the safety, economic, and technical points of view. Selecting the appropriate method for methane drainage is very difficult, and if the method is not chosen correctly, it will lead to environmental problems. The relationship between different influencing factors, parameters, and methods (and how they affect) is significant in choosing the method of gas drainage. In the current study, a hybrid algorithm is presented based on an Analytic Network Process (ANP) and a method based on the …

Inertial Measurement Unit Based Haptic System, Nathan Ceja

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

This study investigated the mitigation of lower back pain of nurses through the measurement of trunk flexion during patient handling tasks and the application of haptic feedback when a safe limit was exceeded. This was done using a system comprising: a microcontroller; a battery and cable to connect it thereto; buttons for trial control soldered thereto; an inertial measurement unit and cable to connect it thereto; a microSD card for in situ data collection inserted thereto; and a coin motor for haptic feedback soldered thereto. After informed consent was given, the system was attached to the lower back of a …

Low Back Loading During Patient Handling Tasks, Grant Seyller

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Lower back disorders are common among the general population, and are the leading cause of disability worldwide. Nurses and others in the healthcare profession are the most at risk for lower back pain, due to the repeated lifting and handling of patients. In a survey from 2001, over 40,000 nurses from 5 different countries were surveyed, and 39% said they would leave their occupation in the next year because of the physical demands. Because of the prevalence of low back pain in nurses, understanding how patient handling tasks and the weight of patients affect the lower back is important to …

The Santa Clara, 2024-04-12, Santa Clara University

The Santa Clara

No abstract provided.

A Case Study Of The Crashoverride Malware, Its Effects And Possible Countermeasures, Samuel Rector

Cybersecurity Undergraduate Research Showcase

CRASHOVERRIDE is a modular malware tailor-made for electric grid Industrial Control System (ICS) equipment and was deployed by a group named ELECTRUM in a Ukrainian substation. The malware would launch a protocol exploit to flip breakers and would then wipe the system of ICS files. Finally, it would execute a Denial Of Service (DOS) attack on protective relays. In effect, months of damage and thousands out of power. However, due to oversights the malware only caused a brief power outage. Though the implications of the malware are cause for researching and implementing countermeasures against others to come. The CISA recommends …

Variation Of Lumbar Rotation During Asymmetric Patient Handling Tasks, Elsa Brillinger, Yeageon Song, Regina Vicente

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Musculoskeletal injury to the lower lumbar vertebrae is among high prevalence in nursing personnel. Currently, lumbar rotation during patient-handling tasks (PHT) is not widely studied. This work specifically investigated lumbar rotation in asymmetric PHT tasks—tasks where the arms or shoulders are used to reach to different parts of a patient, causing the trunk to rotate. In addition, task performance was also analyzed with respect to patient weight. A pilot study was completed with 5 able-bodied volunteers without PHT experience. Three tasks were analyzed: sliding a patient towards the head of the bed using a sling (2-slide), lifting a patient’s leg …

How Adjusting Surface Electrode Voltages Affects Referred Sensation Quality, Jeffrey Quintanilla-Flores, Justin Egbuzie, Marianna Urdaneta

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Referred sensation is when electrical stimulation at one location activates a nerve that innervates a different location. Achieving referred sensation via surface electrical stimulation for the median nerve experimentally has been found to be difficult and time-consuming. Our long-term goal is to design an electrode array to be placed over the elbow crease and develop an algorithm to adjust the electrode voltages used for stimulation until a good referred sensation in the hand is achieved. Our goal for this project was to evaluate the sensation quality of different stimulation values in an electrode array.

Using an anatomically-based finite element model …

Multiscale Characterization Of Dislocation Development During Cyclic Bending Under Tension In Commercially Pure Titanium, Nathan R. Miller

Theses and Dissertations

Continuous bending under tension (CBT) has been shown to increase room temperature elongation-to-failure (ETF) in various sheet metals past that of simple tension (ST). In commercially pure titanium (CP-Ti) Grade 4, up to 3x extended elongation over ST has been achieved. A greater understanding of deformation mechanisms in CBT would allow for its elongation-enhancing effects to be more fully exploited in HCP and other metals, creating potential for new forming strategies. While most of the extended ETF has been attributed to delayed localization via incremental deformation inherent to the CBT process, together with compressive stabilization and relaxation of mechanical strain …

The Relationship Between An Individual's Height And The Movement Strategies Implemented To Perform Manual Patient-Handling Tasks, Regina Vicente, Elsa Brillinger, Yea Geon Song

23rd Annual A. Paul and Carol C. Schaap Celebration of Undergraduate Research and Creative Activity (2024)

Nurses are specifically at risk of low back pain and injury, which has been associated with the performance of daily tasks involving repositioning and handling patients in awkward postures. We recently conducted a proof of concept study to understand multi-joint coordination of the trunk, hips, and knees during the performance of several patient-handling tasks. While interpreting that data, we noted a difference in performance of shorter subjects versus taller subjects. In this study, we present a secondary analysis of that data that explores the relationship of the movement strategies selected during tasks (based on trunk, hip, and knee joint coordination) …

Seeding Effects Of Submicron Caal-No3 Ldh Particles On The Hydration And Properties Of Portland Cement And Sulfoaluminate Cement Pastes, Sukanta K. Mondal, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Layered Double Hydroxide (LDH) Is Reported To Improve The Durability Of Concretes, Primarily Due To Its Ability To Exchange Anionic Species, Including Chloride, Which Is Implicated In Corrosion-Driven Durability Issues. However, There Is No Comprehensive Study Investigating The Effect Of LDH On The Properties Of Different Cement Systems At Both Early And Mature Ages. In This Study, The Early Age And Mature Age Properties Of Portland Cement (OPC) And Calcium Sulfoaluminate (CSA) Cement Pastes Seeded With Submicron-Sized Calcium Aluminum-NO3 LDH (CaAl-NO3 LDH) Were Investigated. The Effects Of The 1–5%mass Dosage Of LDH On The Hydration Of Both Cement Systems Were …

Seeding Effects Of Submicron Caal-No3 Ldh Particles On The Hydration And Properties Of Portland Cement And Sulfoaluminate Cement Pastes, Sukanta K. Mondal, Monday Uchenna Okoronkwo

Chemical and Biochemical Engineering Faculty Research & Creative Works

Layered double hydroxide (LDH) is reported to improve the durability of concretes, primarily due to its ability to exchange anionic species, including chloride, which is implicated in corrosion-driven durability issues. However, there is no comprehensive study investigating the effect of LDH on the properties of different cement systems at both early and mature ages. in this study, the early age and mature age properties of Portland cement (OPC) and calcium sulfoaluminate (CSA) cement pastes seeded with submicron-sized calcium aluminum-NO3 LDH (CaAl-NO3 LDH) were investigated. the effects of the 1–5%mass dosage of LDH on the hydration of both cement systems were …