Digital Commons Network^™

Assessing Marpol Annex V Port Reception Facilities Of The National Port Of Liberia (Freeport Of Monrovia), Barbara Wade Cummings

World Maritime University Dissertations

No abstract provided.

Different Brain Network Connectomic Relationships Subserve Hand Dexterity During Task Versus Resting States In People With Brain Tumors, Timothy F. Boerger, Leon Taquet, Kaitlin Goetschel, Sarah Young, Jennifer Connelly, Jeffrey R. Binder, Brian Schmit, Max O. Krucoff

Biomedical Engineering Faculty Research and Publications

Purpose

The purpose of this study was to explore different brain network connectomic relationships subserving hand dexterity in patients with contrast-enhancing brain tumors during task and resting states.

Method

We measured hand dexterity, resting state functional connectivity, and task-based functional connectivity in 21 participants with newly diagnosed brain tumors. Hand dexterity was measured using the 9-hole peg test (9HPT), and patient-reported outcomes were assessed with the Duroz Hand Index (DHI).

Findings

We discovered the following: (1) The inability to complete dexterous tasks is most associated with low somatomotor-basal ganglia network connectivity during rest but high somatomotor-basal ganglia network connectivity during …

Towards Automated And Explainable Insider Threat Response In Electronic Health Records: A Role-Aware Machine Learning Framework, Luca Lippi Ornstil

Master's Theses

Healthcare remains a prime target for cyberattacks, with insider misuse and credential compromise posing major risks to Electronic Health Records (EHRs). This thesis introduces a role-aware, explainable anomaly detection and response framework integrated with OpenEMR to address post-authentication threats. Four models—Local Outlier Factor (LOF), Isolation Forest, Autoencoder, and Graph Neural Network (GNN)—detect behavioral deviations across temporal, device, and role-based features, with LOF serving as the primary runtime detector. A configurable policy engine maps anomaly severity to proportional actions, from email alerts to read-only restrictions or account suspension, all reversible and auditable. Evaluation on real EHR logs shows the system’s operational …

Occupational Safety In Fishing Vessels : A Comparative Analysis Of Namibia, South Africa And Mozambique In The Sadc Region, Fiina Ndakulilwa Twiihaleni Shaanika

World Maritime University Dissertations

No abstract provided.

Optimization Of Aids To Navigation System In Papua New Guinea, Justus Wayne

World Maritime University Dissertations

No abstract provided.

An Assessment Of The Impact Of Illegal Sand Mining On The Coastline Of Liberia, Alphena J. Logan

World Maritime University Dissertations

No abstract provided.

The Role Of Atmospheric Turbulence On Cloud Droplet Distribution And Droplet Impaction On An Airfoil, Arash Shad, Hashnayne Ahmed, ‪Nadim Zgheib, S. Balachandar, S. A. Sherif

Mechanical Engineering Faculty Publications

We conduct turbulence-informed Euler–Lagrange simulations of droplet-laden flow to examine the effects of atmospheric turbulence on droplet impingement characteristics on a NACA 0012 airfoil. We implement statistical overloading, whereby we inject millions of droplets, ranging in diameter from 1 to 160 microns, upstream of the airfoil at an average streamwise velocity of 120 m/s. Within a fraction of a second, these droplets would have either impinged on the airfoil or continued downstream. While the incoming air flow is maintained uniform, droplet injection is informed by ambient turbulence, affecting both the droplet velocity distribution as well as the size-dependent preferential concentration …

Bending Fatigue In Additively Manufactured Metals: A Review Of Current Research And Future Directions, Md Bahar Uddin, Sriram Praneeth Isanaka, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Metal additive manufacturing (MAM), also referred to as 3D printing, has proven remarkable in the fabrication of complex metal components in multiple sectors. However, the assessment of this revolutionary process through bending fatigue is frequently impeded due to concerns about mechanical and physical conditions of the printed components. The unique layer-by-layer production process results in varied microstructures, anisotropy, and intrinsic defects that considerably differ from traditionally manufactured wrought metals. This review article aims to integrate and evaluate historical and contemporary research on the bending fatigue of additively manufactured materials. More specifically, the impact of process parameters, build orientation, surface conditions, …

Intelligent Decision-Making Systems In Smart Greenhouses, Muso Berdiyor Ugli Allanov

Chemical Technology, Control and Management

Smart greenhouses offer a solution to sustainable food production under climate uncertainty, yet their management often depends on fixed rules or human intuition. This study proposes an intelligent decision-making framework that integrates optimization, simulation, and a neural set into a self-learning system. By generating “conditionally real data” through simulation and evolutionary algorithms, the system can predict microclimatic changes and optimize control of water, energy, and nutrients. Continuous digital feedback enables adaptive, data-efficient operation even with limited real data. Experimental results demonstrate reduced resource use and improved yield stability, advancing the development of autonomous and resilient greenhouse ecosystems.

باستخدام مجموعة بيانات متعددة من الطائرات بدون طيار Yolo البحث والإنقاذ البحري القائم على في ظروف الطقس الصعبة, Aysha Ali Alshebli

Theses

Object detection models, powered by deep learning and computer vision, are revolutionizing marine search and rescue (SAR). By analyzing aerial imagery and live drone footage, these systems automatically identify critical targets like survivors, life rafts, and debris across vast and treacherous ocean areas. This capability enhances operational efficiency by reducing human workload and accelerating response times, even in challenging conditions such as poor light, high seas, or cluttered backgrounds. The result is continuous monitoring, faster decision-making, and a significantly improved probability of successful rescue.

Departing from prior methodologies, YOLO introduced a paradigm shift through its single-shot architecture, which concurrently predicts …

Investigation Of Mechanical Performance And Metallurgical Characteristics Of Titanium Grade 2 Tube-To-Tubesheet Joints, Ahmad Hussein Al Tamimi

Theses

Tube-to-tubesheet joints, an integral component of shell and tube heat exchangers, are known for their vulnerability to leakage problems at the joint region due to mechanical and chemical factors coupled with fabrication techniques involved in creating these joints. An ideal condition of manufacturing process parameters and geometrical variables required to produce tube-to-tubesheet joints is highly desired. One of the most promising candidate materials to fabricate tube-to-tubesheet joints is titanium or titanium alloys due to their excellent strength and resistance to corrosion. The present study investigates the structural integrity of three categories of Titanium Grade 2 based tube-to-tubesheet joints comprising of …

Enhanced Air Hockey Robot Performance Through Adaptive Control Algorithim Using Ai-Based Hierarechal Decicion Archeticture, Ayham Majed Salim

Theses

This thesis presents the development of an intelligent air hockey robot that combines precise mechanical design, computer vision, and adaptive control within an AI-based hierarchical decision architecture. The system integrates synchronized stepper motors, high-speed image processing, and a real-time decision framework to achieve competitive gameplay performance. The robot detects the puck using adaptive HSV color segmentation, supported by dynamic calibration that maintains accuracy under different lighting conditions. A two-stage trajectory prediction model, based on exponential decay velocity estimation, enables anticipation of puck motion and improves response time during fast gameplay.

At the decision level, a fuzzy-logic supervisor governs the robot’s …

An Analysis Of Renewable Energy Capture Utilization For Mpulungu Harbour, Dorica Nayame

World Maritime University Dissertations

No abstract provided.

Decarbonization And Climate Justice : Challenges And The Effect On Shipowners, Sofiana Kontouri

World Maritime University Dissertations

No abstract provided.

The Ratification And Implementation Of The International Maritime Organisation (Imo) Instruments : A Social And Policy Persepctive On Maritime Governance In Fiji, Miriama Latianara

World Maritime University Dissertations

No abstract provided.

Oil Spill Pollution In The Caspian Sea In Case Of Azerbaijan : Evaluating Spill Patterns And Governance Gaps In Azerbaijan’S Marine Oil Pollution Response, Ulviyya Hasanova

World Maritime University Dissertations

No abstract provided.

Evaluating The Implementation Of The Ballast Water Management Convention In Nigeria : The Possible Contribution Of The Experimentalist Governance Approach, Muhammad Ahmad

World Maritime University Dissertations

No abstract provided.

Assessing Spatial And Temporal Patterns Of Industrial Bottom Trawlers Using Vessel Monitoring System Data : A Case Study Of Ghana, Emmanuel Agbeko

World Maritime University Dissertations

No abstract provided.

Legal Analysis On The Use Of Maritime Drones In Law Enforcement Operations, Da Ye Kim

World Maritime University Dissertations

No abstract provided.

Strengthening Thailand’S Ship-Sourced Oil Spill Management : A Comparative Analysis Of Legal And Response Frameworks In Thailand, The United States, And Singapore, Supranee Wattanapongsakul

World Maritime University Dissertations

No abstract provided.

Energy-Harvesting Concurrent Lora Mesh With Timing Offsets For Underground Mine Emergency Communications, Hilary Kelechi Anabi, Samuel Frimpong, Sanjay Madria

Mining Engineering Faculty Research & Creative Works

Underground mine emergencies destroy communication infrastructure when situational awareness is most critical. Current systems rely on centralized network infrastructure, which fails during emergencies when miners are trapped and require rescue coordination. This paper proposes an energy-harvesting LoRa mesh network that addresses self-powered operation, interference management, and adaptive physical layer optimization under severe underground propagation conditions. A dual-antenna architecture separates RF energy harvesting (860 MHz) from LoRa communication (915 MHz), enabling continuous operation with supercapacitor storage. The core contribution is a decentralized scheduler that derives optimal timing offsets by modeling concurrent transmissions as a Poisson collision process, exploiting LoRa's capture effect …

Characterization And Antibacterial Properties Of Centrifugally Spun Polyvinylpyrrolidone/Copper(Ii) Acetate Composite Fibers, Batool Ibrahim, Roberto Curiel, Sara Ibrahim, Luis A. Materon, Oleg Ermolinsky, Helia Magali Morales, Jason Parsons, Mataz Alcoutlabi

School of Integrative Biological & Chemical Sciences Faculty Publications

The demand for effective antibacterial materials is growing rapidly in today’s world. Both metallic and metal oxide nanoparticles have been widely used as antibacterial agents against various bacterial species due to their unique mechanisms of destroying bacterial membrane cells. The current study explores the antibacterial activity of centrifugally spun fibers prepared from copper acetate polyvinylpyrrolidone (PVP) ethanol precursor solutions against both Gram-negative and Gram-positive bacteria. During the synthesis of the composite fibers, the physical and chemical conditions were optimized. The structure and morphology of the PVP/Cu-Ac fibers were analyzed using scanning electron microscopy (SEM), X-ray diffraction (XRD), energy-dispersive X-ray spectroscopy …

Analysis Of Modern Research In The Field Of Automation And Digitalization Of The Dairy Industry, N.A Kabulov, U.K. Sabirov, A.K. Oqilov

Chemical Technology, Control and Management

This article presents a systematic analysis of modern research aimed at the advancement of automation and digitalization technologies in the dairy industry, with particular emphasis on the processes of product sorting and quality control. The main directions of digital solution implementation are examined, including the use of robotic sorting lines, computer vision systems, spectral analysis sensors, and artificial intelligence tools for the automatic verification of product compliance with established standards. A comparative analysis of existing approaches to the implementation of intelligent control systems within the technological cycle — from raw material intake to packaging and finished product logistics — is …

Algorithms For The Synthesis Of A Temperature Control System For The Inner Tube Heat Exchanger With A Steam Jacket, H.Z. Igamberdiyev, Jasur Sevinov, U.F. Mamirov, Sh.M. Abdishukurov

Chemical Technology, Control and Management

The synthesis of a feedback propagation control law for an inner tube heat exchanger with a steam jacket is addressed in this text. A controller has been developed that, based on temperature measurements taken at four points. The maintains the output temperature at a specified level by acting on the steam jacket temperature. To determine the parameters of the plant, a linear quadratic optimal (LQ-optimal) algorithm is employed. In the considered case, the optimal controller includes a proportional–integral (PI) component, as well as an additional term that requires storing the control input over the current interval for its computation. The …

Intelligent Method Of Dynamic Control For A Class Of Stochastic Nonlinear Systems, Isamidin Khakimovich Siddikov, Davronbek Abdalimovich Khalmatov, Gulchekhra Rakhimjanovna Alimova, Dilnoza Rakhmanovna Khushnazarova

Chemical Technology, Control and Management

The paper considered the problems of researching the stabilisation system and backstepping control of stochastic nonlinear systems. The characteristics of stochastic nonlinear dynamic control systems are random signals with normal lawful distribution, which significantly complicates task control. In stochastic control, it is necessary to determine the trajectories of the control variables in order to achieve the desired control objective at minimum cost. Since the mathematical equations of stochastic nonlinear systems are not always constant, not every model-based controller can be accurate. Therefore, in this work, a neuro-fuzzy network is used to evaluate the parameters of the control system with backstepping, …

Analyzing Surface Spectral Signature Shifts In Fire-Affected Areas Of Elko County Nevada, Ibtihaj Ahmad, Haroon Stephen

Civil and Environmental Engineering and Construction Faculty Research

This study investigates post-fire vegetation transitions and spectral responses in the Snowstorm Fire (2017) and South Sugarloaf Fire (2018) in Nevada using Landsat 8 Operational Land Imager (OLI) surface reflectance imagery and unsupervised ISODATA classification. By comparing pre-fire and post-fire conditions, we have assessed changes in vegetation composition, spectral signatures, and the emergence of novel land cover types. The results revealed widespread conversion of shrubland and conifer-dominated systems to herbaceous cover with significant reductions in near-infrared reflectance and elevated shortwave infrared responses, indicative of vegetation loss and surface alteration. In the South Sugarloaf Fire, three new spectral classes emerged post-fire, …

A Green Manufacturing Model: Joint Optimization Of Maintenance, Scheduling, And Sustainability, Ahmed Attia, Mohamed Darghouth, Ahmed Ghaithan, Awsan Mohamed, Noha Mostafa

Mechanical Engineering

This study proposes an integrated framework for sustainable manufacturing that jointly optimizes production scheduling, maintenance planning, and carbon-conscious energy management. A Mixed-Integer Nonlinear Programming (MINLP) model is developed to minimize makespan while maintaining machine reliability and ensuring compliance with greenhouse gas (GHG) emission limits. The model incorporates speed scaling as a decision variable, capturing the trade-off between processing time, energy consumption, and machine degradation. Preventive maintenance (PM) and minimal repair (MR) strategies are explicitly modeled using a Weibull-based failure distribution, and a carbon cap constraint is introduced to bound total emissions. A case study demonstrates the model's practical relevance, and …

Coal Phase-Out In The Silesian Coal Regions – Building Sustainable Scenario On Past Experiences, Adam Drobniak, Jan Bondaruk, Mirosław Skibski

Journal of Sustainable Mining

The dynamics of phasing out of hard coal mining are currently the subject of many debates and policies programming the energy transition. Diversity of opinions on the speed of the hard coal mining transition is evident. This discourse uses a number of technical, environmental, economic and social arguments that are not always supported by evidence-based analyses. As assumed in the European Green Deal, a responsible approach to decarbonisation requires just transition values. Thus, the negative effects of mining phasing out should be well recognized to enable their mitigation. This applies especially to the Silesian Voivodeship, where the concentration of so-called …

Mosquito Classification And Explainability From Image Data Via Deep Learning Techniques, Farhat Binte Azam

USF Tampa Graduate Theses and Dissertations

According to the World Health Organization (WHO), mosquitoes are the deadliest animals on Earth, responsible for more human deaths annually than any other species. Mosquito-borne illnesses continue to pose severe risks to global health. In 2015 alone, there were an estimated 214 million malaria cases worldwide. Similarly, a 2016 report from the Centers for Disease Control and Prevention (CDC) revealed that Puerto Rico’s Department of Health received over 62,500 suspected cases of Zika, with 29,345 confirmed positive cases. In 2019, Southeast Asia experienced its worst dengue outbreak in recorded history. Of the approximately 4,500 mosquito species distributed across 34 genera, …

Political Turbulence And Aviation Safety: A Cross-National Analysis Of Political Stability's Effects On Aviation Accidents, Léa Faure, Lilliam Maria Cáceres Malachowski

Journal of Aviation/Aerospace Education & Research

To what extent does political stability affect aviation safety? This research aims to link domestic political conditions and public safety through the consideration of aviation accident frequency. Political instability can indeed have profound effects on reducing overall public safety in a variety of domains through its influence on public policies. Reduced regulations and governance efforts can appear in contentious contexts for less-prioritized fields. This could influence the reemergence of technical aviation risk factors like crew training and performance, maintenance issues, infrastructure problems, human errors, etc. This would highlight a correlation between such political instability and weaker aviation safety regulations, investments …