Engineering Commons^™

Mechanistic Insights Into The Flash Effect: The Role Of Oxygen And Radiation Chemistry In Ultra-High Dose Rate Radiation Therapy, Jacob Pierce Sunnerberg

Dartmouth College Ph.D Dissertations

The development of new cancer therapies focuses on widening the therapeutic ratio between tumor control and normal tissue toxicity. Over the last decade, ultra-high dose rate (UHDR) radiation therapy, commonly known as FLASH radiotherapy (FLASH-RT), has shown promising potential to reduce normal tissue toxicity while maintaining tumor control. However, the underlying mechanisms of the FLASH effect remain poorly understood. This thesis explores the radiation-chemical basis of FLASH-RT, focusing on the role of oxygen and reactive oxygen species in modulating biological outcomes.

A comprehensive set of in vitro studies demonstrated that UHDR delivery significantly alters radiation chemistry compared to conventional dose …

Optimization Of Pile Construction Sequence Using Cfa Machines, Omar Wael Ammar

Theses and Dissertations

In most construction projects with deep foundations, piling activities are critical to the project schedule and often fall on the critical path. The piling construction process requires a diverse range of resources, including equipment, materials, and skilful labour. Without carefully planning the construction process according to installation standards, there is a significant risk of time and cost overruns. These overruns are caused by inefficiencies such as equipment idle or lost time due to required lags between closely spaced piles. Therefore, it is essential to develop an optimized construction sequence to minimize these risks and enhance overall project efficiency. The primary …

An Llm Approach For Automating The Analysis Of Bim (Ifc) Data, Miral Selim

Theses and Dissertations

This thesis introduces a novel methodology for automating the analysis of Building Information Modeling (BIM) data using LangGraph, an advanced extension of the LangChain framework, and integrating Google’s Gemini Large Language Model (LLM) with IfcOpenShell. BIM, and specifically Industry Foundation Class (IFC) files, are widely used in the construction industry for representing and managing building data. However, analyzing this data effectively remains a significant challenge due to its volume and complexity. Additionally, analyzing BIM data typically requires knowledge of different BIM software depending on the application. This research addresses this challenge by creating a workflow that utilizes LangGraph’s ability to …

Image-Based Models For Left Heart Flow Morphodynamics In Hypertrophic Obstructive Cardiomyopathy, Abdelrahman A. Sultan

Theses and Dissertations

Relieving flow obstruction in hypertrophic obstructive cardiomyopathy is highly effective in reducing symptoms and promoting left ventricular remodeling. However, existing characteristics in the disease, such as the systolic anterior motion of the mitral, mitral regurgitation, and papillary muscle motion, and their effect on ventricular flow and vortex formation, have not been thoroughly addressed. This study aims to develop image-based computational fluid dynamics models to evaluate flow morphodynamics in hypertrophic obstructive cardiomyopathy. A computational fluid dynamics model is constructed to investigate the interaction between inflow and outflow in hypertrophic obstructive cardiomyopathy, with a focus on how the motion of the left …

Removal Of Fluoroquinolones From Water Systems Employing Rice Husk Composited Sponges Via Nanoadsorption, Dalia Kanaa

Theses and Dissertations

A novel nanocomposite of polyvinyl alcohol formaldehyde (PVF) sponge loaded with green zinc oxide nanoparticles (ZnONP) and referred to as (NP-PVF) was fabricated as a potential adsorbent of ciprofloxacin from water. A simple mechanical foaming process was used to synthesize the adsorbent. Rice husk extract was used to synthesize zinc oxide nanoparticles (ZnONP) for its phytochemicals as reducing agents. A facile and low-energy-dependent extraction method was used that did not require the use of high-temperature annealing. The synthesized nanoparticles showed a maximum UV absorption at 347 nm, which corresponds to a 3.58 eV band gap energy. FTIR confirmed the successful …

Journal Of Roleplaying Studies And Steam (Jrpssteam) Vol. 4 [2025], Número 1 (Issue 1), Ivan Ávila González Phd, Cristo Leon, Romano Ponce-Díaz Phd, Diogo A. Camelo, Alfonso Rincón Vaquero, Edgar Ávila González, Daira Pando Tamayo, Michelle Llado-Wrzos, Leonid Moyzhes, Andrea A. Echeverría Barrios

Journal of Roleplaying Studies and STEAM

La cultura es un diálogo constante con el pasado, el presente y el futuro. Todos nuestros objetos culturales son el resultado causal de las personas que estuvieron antes que nosotros, se actualizan en nuestro proceder en el presente y, les proyectamos al futuro con la esperanza de que aporten algo positivo a las generaciones que estarán delante de nosotros; de tal forma, este Volumen 4 [2025], número 1 (Issue 2) es el resultado directo de la labor de los editores fundadores Mauricio Rangel Jiménez, Miguel Angel Bastarrachea Magnani y todas aquellas personas que trabajaron antes que nosotros para que existiera …

Cutting-Edge Methods For Analyzing Student Behavior In Educational Settings: A Review, Shatha Talib Rashid, Hasanen S. Abdullah

Journal of Soft Computing and Computer Applications

The ability to predict students' performance in educational settings like schools and universities is crucial. A key objective of this effort is to increase academic outcomes and prevent dropout rates, among other benefits. Automating student activities, encouraged by information collected from any technology-based learning tool, has an important role in the process here. Those big quantities of information ought to be completely studied theoretically and processed for gaining worthy insights concerning a student's background as well as interacting with scientific missions, facilitating the development of advanced ways and algorithms to predict students' performance. The current study reviews several contemporary mechanisms …

Blockchain-Based Physical Election Votes Digitally Secure Transfer, Mohanad A. Mohammed, Hala B. Abdul Wahab

Journal of Soft Computing and Computer Applications

Responsibility for maintaining election transparency over time and ensuring democratic values intact is held by the Iraqi Independent High Electoral Commission (IHEC). However, transferring physical election votes from election centers is a critical duty, where many challenges appear regarding accountability and security measures. This study proposes a system that utilizes blockchain technology to solve any challenges or difficulties and ensure an effective and improved election process by providing its highest trustworthiness and legitimacy and ensuring a decentralized security process. This system offers unique blockchain characteristics such as immutability, decentralization, and transparency, providing an extra level of security to the data …

Modern Face Recgognition Systems: A Review Of Methods And Empirical Findings, Zahraa Naji Razoqi, Raheem Ogla, Abdul Monem S. Rahma

Journal of Soft Computing and Computer Applications

The face recognition system is a biometric technique that replaces traditional passwords and personal identification. This research is dedicated to presenting a study of some facial recognition systems. Since it is unlikely to replicate and is more stable over time, the domain of facial feature extraction has proven to be more effective in attaining exact facial recognition, which is important, especially in intelligent security surveillance systems. Face recognition systems encounter several challenges, primarily related to pose variations, illumination conditions, and occlusions such as hair, glasses, and so on. To address these challenges, enhance performance, and boost the accuracy and speed …

Arson Event Detection Using Yolov9, Ali Abbas Abbod, Matheel E. Abdulmunimb, Ismail A. Mageed

Journal of Soft Computing and Computer Applications

Detecting event anomalies is crucial for surveillance systems, as it enables the identification of occurrences in videos, both temporally and spatially. It can identify deviations from patterns without requiring human oversight by learning from past information to distinguish normal behavior and pinpoint irregularities. Early detection of arson fires is critical to mitigating damage, public safety, property, and the environment, as well as saving lives and aiding in law enforcement investigations. The objective of this study is to evaluate a system for detecting events using the You Only Look Once version 9 (YOLOv9) model in surveillance videos with a focus on …

Enhancing Cybersecurity Based On Blockchain Technology: A Systematic Review, Sarah Mohammed Shareef, Rehab Flaih Hassan

Journal of Soft Computing and Computer Applications

Cybersecurity is a crucial component of the security system that guards against unauthorized access to digital transactions. Blockchain is a decentralized ledger used to securely exchange digital currencies and conduct trades and transactions. Blockchain technology has led to significant changes in electronic transactions. The enormous potential is being exploited in many areas such as financial services, real estate, supply chain, and the Internet of Things. Despite being a security system, it has suffered from security threats to sensitive data. Phishing and 51% attacks can circumvent blockchain security, highlighting the need for thorough user education and awareness. Additionally, blockchains based on …

Predicting Earthquake Location Using Convolutional Neural Network-Attention Mechanism Approach, Mohammed A. Jaleel Shaneen, Suhad M. Kadhem

Journal of Soft Computing and Computer Applications

In seismically active areas, earthquake prediction is essential for minimizing potential damages and preserving lives. However, precise forecasts are complicated to achieve because of seismic events’ complex and unpredictable nature. The current study presents an advanced prediction approach to address such issues, combining Convolutional Neural Networks (CNNs) and Attention Mechanism (AM). The primary goal is to improve the accuracy of the earthquake predictions and the generalizability across various mainland Chinese regions. AM layer emphasizes significant features for improving the prediction performance, whereas CNNs are utilized to extract spatial features of seismic data. The efficiency and effectiveness of the proposed approach …

The Aerodynamics Of Swept, Canted, And Slotted Winglets, Andrew K. Mahler

Mechanical Engineering Master's Theses

Winglets have been used to improve the aerodynamic performance of wings. They do this by decreasing the lift induced drag that is experienced by the wing. The winglet modifies the wingtip vortex generated by adjusting both its size, location and strength. Motivated by previous research on the manipulation of wake vorticity through the use of a forward or backward sweep discovered originally when investigating crescent wings, the presented work investigates the role of sweep, cant and slots on winglets. Sweep was first applied to positive and negative canted wings with a symmetric airfoil, the ONERA M6. The wing flows were …

Comparative Analysis Of Loss Of Control Definitions, Owen D. Poborsky

Journal of Aviation Technology and Engineering

“Loss of control” (LOC) is a broad term in aviation used to describe an event or series of events that resulted in an accident or incident of an aircraft. Many definitions of LOC exist for aircraft while maneuvering on the ground and in the air. The purpose of this study is to synthesize the numerous LOC definitions found in the literature and from government and rulemaking organizations to better understand the importance of airspeed awareness as it relates to LOC events at low altitudes. Furthermore, emphasis shall be placed specifically on flight training within general aviation, as significant LOC statistical …

E-Taxi Technology: Assessing Operational Benefits And Sustainability In Modern Aviation, Arthur C. Dela Peña

Journal of Aviation Technology and Engineering

This study evaluates the operational benefits and sustainability impacts of electrically driven landing gear systems (e-taxi technology) in the aviation industry, focusing on the Philippine context. The objective was to assess improvements in fuel savings, emissions reductions, and maintenance costs associated with e-taxi systems. Using a mixed-methods approach, data were collected through interviews with airline operators, and secondary data were collected from industry reports. Results showed that e-taxi systems reduced taxiing time by 15–22%, fuel consumption by 150–180 kg per flight, and engine wear by 10–14%. Carbon emissions were reduced by 472–566 kg per flight, while noise levels decreased by …

A Machine Learning-Driven Framework For Real Time Detection And Prevention Of Replica Node Attacks In Wireless Sensor Networks, Maram Pavani, Tanguturi Sharani, Amutha Jeevakumari S A

Northeast Journal of Complex Systems (NEJCS)

Mobile devices and wireless sensor networks (WSNs) are increasingly vulnerable to security threats such as unauthorized access and replica node attacks. Mobile devices face risks from replication and anomalous behavior, while attackers compromise WSNs by cloning legitimate nodes, thus threatening network integrity. Traditional security mechanisms often fall short in detecting such sophisticated threats, especially in resource-constrained environments. This research proposes a dual-component security system. A Machine Learning-Based Intrusion Detection System (IDS) for WSNs leverages Graph Neural Networks (GNNs) to detect replica nodes through structural network analysis and applies Federated Learning to preserve data privacy. The Sequential Probability Ratio Test (SPRT) …

The Spectral Response Of Time-Resolved Piv In A Turbulent Boundary Layer, Peter Manovski, Wagih Abu Rowin, Henry Ng, Paul Gulotta, Matteo Giacobello, Charitha De Silva, Nicholas Hutchins, Ivan Marusic

Student Publications

This study presents the application of time-resolved particle image velocimetry (TR-PIV) to measure the mean and fluctuating velocity components in a turbulent boundary layer (TBL) over an axisymmetric body of revolution. A narrow wall-normal strip of the flow was captured using a synchronised high-speed laser and camera at a recording frequency of up to 80 kHz. The resulting streamwise and wall-normal velocity TR-PIV data were validated against hot-wire anemometry measurements and direct numerical simulations (DNS) of a flat plate under matched flow conditions. The mean flow results showed good agreement between all methods, while the expected attenuation due to the …

Gbotuner: Autotuning Of Openmp Parallel Codes With Bayesian Optimization And Code Representation Transfer Learning, Kimsong Lor

Computer Science and Engineering Master's Theses

Empirical autotuning methods such as Bayesian optimization (BO) are a powerful approach that allows us to optimize tuning parameters of parallel codes as black-boxes. However, BO is an expensive approach because it relies on empirical samples from true evaluations for varying parameter configurations. In this thesis, we present GBOTuner, an autotuning framework for optimizing the performance of OpenMP parallel codes, where OpenMP is a widely used API that enables shared-memory parallelism in C, C++, and Fortran using simple compiler directives. GBOTuner improves sample efficiency of BO by combining code representation learning from a Graph Neural Network (GNN) into a BO …

Thermal Rheological Properties Of Heat-Moisture Modified And Its Application In Multigrain Cookies, Thi Huyen Trang, Li Xianghong, Miao Jinxu, Wang Faxiang, Liu Yongle, Li Shuang

Food and Machinery

［Objective］ To develop low -burden,high -nutrient functional baked foods.［Methods］ A single -factor experimental design is employed,with rapid visco analyzer,rheometer,and differential scanning calorimeter to analyze the physicochemical properties of heat -moisture modified wheat flour.The cookie formula is optimized based on sensory evaluation.［Results］ Heat -moisture treatment significantly enhances the pasting stability and resistant starch content of wheat flour.The optimal auxiliary ingredient formula is 50 g of heat-moisture modified wheat flour,20 g of oat flour,10 g of mung bean flour,and 6 g of resistant dextrin powder.Compared with the control group,the cookies made from the experimental formula show a significantly lower digestibility,with a glycemic …

Multi-Field Quantum Conference Key Agreement Using An Integrated Photonic Green Machine, Benjamin J. Fisher

Theses and Dissertations

Quantum Conference Key Agreement (QCKA) enables a group of users to generate a shared secret key, which reduces the latency and equipment overhead of establishing multiple Quantum Key Distribution (QKD) links. Conventional QCKA protocols send a multi-photon entangled state from one user to others and a key is generated only when all photons are detected, which is inefficient at high loss and opens side-channels at the receiver side. Here, we overcome this barrier through a multi-field QCKA protocol enabled by designing, fabricating, and testing an integrated photonic Green Machine that implements an eight-mode Hadamard unitary transformation through a beam-splitter network. …

Sae Baja Drivetrain Capstone 2024-2025, Leslie Alvarez Cisneros

University Honors Theses

This thesis reviews the 2024-2025 Baja SAE Drivetrain capstone project. The Baja SAE competition mimics real world engineering problems where teams of students design and build off-road vehicles that can handle tough, rough terrain. The objective of this capstone was to design a functional and reliable drivetrain system for the vehicle, within the constraints of a limited budget and the SAE competition guidelines. As part of a 12-member capstone team divided into three subgroups: frame, suspension, and drivetrain. As part of a four person drivetrain team, we picked up where the 2023-2024 team left off by relying on their past …

Advances In Bone And Orthopedics 2025 – 5th Edition, Jean-Philippe Berteau, Laurent Pujo-Menjouet, Hélène Follet, Aurélie Levillain

Publications and Research

This volume brings together selected works from the 2025 Bone and Orthopedics Interdisciplinary Symposium (BONITOS), underscoring our community’s ongoing commitment to advancing research in biomechanics, bone health, and orthopedic science. The symposium unites leading experts from around the world, fostering collaboration and the exchange of ideas across disciplines. Organized in partnership with the French-speaking Society of Biomechanics, the French National Institute of Health and Medical Research (INSERM), the University of Lyon, the College of Staten Island of the City University of New York (CUNY), and the American Association of Physical Therapists (APTA) – Brooklyn Staten Island Chapter, BONITOS 2025 represents …

Computational Fluid Dynamics And Fluid Structure Interaction Modeling In Healthy Vertebral Arteries: A Comparative Study, Bryce Clinkenbeard

Electronic Theses and Dissertations

Cerebral perfusion is critical for maintaining proper brain function, with each cerebrovascular artery playing an integral role in the overall cerebrovascular system. When these arteries become damaged or develop plaque, cardiovascular disease (CVDs) such as atherosclerosis can arise, leading to conditions like arterial stenosis. While CVDs are most prevalent in older individuals, they are also observed in young adults, particularly those engaged in high-endurance occupations such as military service. Diagnosis and prediction of CVDs often rely on imaging modalities supported by computational fluid dynamics (CFD) which account for low resolution in fluid flow. CFD models assume rigid arterial walls, which …

Supercritical Co2 Technology For Biomass Extraction: Review, Bahare Nozari, Ron Kander

School of Design and Engineering Papers

Supercritical carbon dioxide extraction is increasingly recognized as a green and efficient alternative to conventional solvent-based techniques for valorizing plant biomass. This review provides a comprehensive overview of recent advances in a scCO₂ extraction method, focusing on its advantages in isolating high-value compounds from agricultural feedstocks. The unique physicochemical properties of scCO₂, combining gas-like diffusivity with liquid-like solvating power, enable selective extraction under mild and tunable conditions, which preserves the integrity of thermally sensitive molecules. In addition, scCO₂ reduces energy consumption, eliminates toxic solvent residues, and offers greater extraction precision than traditional methods. These features have …

Development Of An Embedded Iot Board For Real-Time Floor Estimation Of Autonomous Robots, Carter J. Sorensen

Electronic Theses and Dissertations

As service robots become more prevalent in multi-story environments such as hospitals, hotels, and laboratories, accurate floor-level detection is critical to ensuring operational reliability. Consider a robot tasked with delivering medical samples in a multi-story laboratory. Without accurate feedback, a robot exiting on the wrong floor could introduce delays, disrupt workflows, or compromise sample integrity. Internet of Things (IoT) technologies offer a way to address these risks by providing real-time error detection and corrective capability. However, current IoT-based floor estimation systems often require invasive modifications to building infrastructure—particularly elevator control panels. These approaches introduce challenges related to cost, liability, backward …

An Advanced Hexacopter For Autonomous Exploration Of Mars: Attitude Control And Navigation Strategies, Laura Sopegno

Electronic Theses and Dissertations

Mars exploration has recently witnessed major interest within the scientific community. Unmanned robotic platforms offer reliable solutions to acquire and collect data and information from the Red Planet. Particularly, rovers, landers, and orbiters have significantly shaped planetary exploration on the Moon and Mars, contributing significantly to past missions while also highlighting limitations in their capacity to cover diverse terrains over wide ranges. Given current advances in Unmanned Aircraft Systems (UASs), Unmanned Aerial Vehicles (UAVs) offer promising alternatives for future scientific missions.

It is argued that hexacopters, with their relatively compact design and redundancy, present a promising …

Reducing Attention Complexity In Graph Transformers Through Subgraph Partitioning, Ranjan Kumar Choubey

Master’s Dissertations

This dissertation addresses the challenge of scaling Graph Transformers by proposing a subgraph-based strategy to reduce attention complexity. The proposed framework preserves representational power while making attention computation tractable for largescale graphs. The method begins by partitioning the input graph into K subgraphs using the METIS algorithm. Each subgraph is encoded using a combination of local structural features from a Graph Convolutional Network (GCN) and global positional cues from Laplacian Positional Embeddings (LPEs). These embeddings are fused via a trainable projection function to form subgraph tokens. A supergraph is constructed to model interactions among subgraphs, allowing attention to be applied …

Optimized Wireless Power Transmission For Low-Cost, Energy-Efficient Internet Of Things Devices In Residential Environments, Daniel Brook Hatch

Theses and Dissertations

Wireless power transmission (WPT) offers a promising solution for powering devices in locations where traditional electrical outlets are inaccessible, such as ceilings or outdoor environments. By utilizing electromagnetic waves, such as light, WPT enables power delivery without the need for physical connections. With line-of-sight (LoS) as its primary limitation, this technology offers significant flexibility and potential for a wide range of applications, making it a compelling focus for research and innovation. Despite the advancements in WPT technologies, their practical application for powering Internet of Things (IoT) devices in real-world scenarios remains underexplored. Many IoT devices are installed in locations where …

Shrinkage Study In Photopolymerisable Hybrid Sol-Gel Through Holographic Patterning, Jamshed Aftab, Izabela Naydenova, Tatsiana Mikulchyk

Articles

Photopolymerisation induced shrinkage of holographic materials is one of the main factors which needs to be considered for designing holographic optical elements (HOEs) with high accuracy in light redirection with maximum efficiency. This work studies the shrinkage in photopolymerisable hybrid sol-gel (PHSG) by examining the properties of volume transmission gratings recorded in PHSG layers. It explores both the dependence of shrinkage on the holographic grating parameters (thickness, spatial frequency, slant angle) and the effect of material aging. By using the fringe-plane rotation model, shrinkage is found to have the maximum value of 1.37 % at 765 lines/mm (19.36° slant angle) …

Piloted Autonomous Crisis Reconnaissance Robot 2.0 (Pacrr 2.0), Awawu Alimi, Urmika Ghosh, Marissa Kuo, Jonathan Santosa, Ethan Wyrick

Electrical and Computer Engineering Senior Theses

PACRR 2.0 (Piloted Autonomous Crisis Reconnaissance Robot, version 2) builds upon the original low-cost, autonomous-capable quadruped platform by enhancing both mobility and environmental perception for first-responder applications such as search and rescue, gas leak detection, and mapping of confined or hazardous areas. In PACRR 2.0, we integrate an RGB-D camera with analytic inverse kinematics and frame-based motion planning to achieve precise foot placement and stable quasi-static gaits even on sloped or uneven terrain. An NVIDIA Jetson processor runs high-level control and mapping alongside a Raspberry Pi 4 to manage motor control. Through simulation, we demonstrate robust 3D map generation and …