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2025

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Articles 2851 - 2880 of 8630

Full-Text Articles in Engineering

Theory And Engineering Practice Of Coal-Water Coordinated Mining Based On Constraints Of Formation Bearing Capacity, Pang Zhenzhong, Zeng Yifan, Han Keyao, Wu Qiang, Liu Shouqiang, Hua Zhaolai, Zhao Gangyi, Zhang Shuai, Yang Huxiong, Wang Xuejun, Li Feifan Jul 2025

Theory And Engineering Practice Of Coal-Water Coordinated Mining Based On Constraints Of Formation Bearing Capacity, Pang Zhenzhong, Zeng Yifan, Han Keyao, Wu Qiang, Liu Shouqiang, Hua Zhaolai, Zhao Gangyi, Zhang Shuai, Yang Huxiong, Wang Xuejun, Li Feifan

Coal Geology & Exploration

Background The high-intensity mining of coal resources in the Yushen mining area has caused negative environmental effects and water disasters on coal seam roofs, seriously restricting the sustainable development of the area.Methods and Results Based on a summary of previous research results on the mitigation of the impacts of coal mining on groundwater resources and surface ecosystem, this study analyzed the contradiction between coal mining and the protection of the fragile ecosystem in the Yushen mining area in Shaanxi Province through theoretical analysis, field investigation, and data statistics. Then, it systematically illustrated the concept of the formation bearing capacity …

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Impacts Of Boundary Conditions And Parameter Heterogeneity On The Simulation And Prediction Of Water Inflow In Coal Mines, Ji Qiang, Wu Zhenjiang, Yao Yingying Jul 2025

Impacts Of Boundary Conditions And Parameter Heterogeneity On The Simulation And Prediction Of Water Inflow In Coal Mines, Ji Qiang, Wu Zhenjiang, Yao Yingying

Coal Geology & Exploration

Background Accurate prediction of water inflow in coal mines is essential for ensuring safe mining operations. Three-dimensional (3D) groundwater numerical models can be used to characterize hydrogeological conditions in mining areas and simulate the dynamic processes of water inflow, providing a theoretical basis for scientifically predicting mining-induced water inflow. However, there is a lack of a clear understanding of the impacts of the boundary conditions with surface water-groundwater interactions and the heterogeneity of aquifer permeability coefficients (K) on the simulation and prediction of water inflow during coal mining. Methods This study developed a 3D transient groundwater numerical model …

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An Experimental Study On The Seepage Characteristics Of Sandstones With Different Numbers Of Fractures Before And After Grouting, Chen Juntao, Zhou Haoyu, Yu Junjian, Li Guo, Fan Mingjin, Li Lu, Wang Yunhao Jul 2025

An Experimental Study On The Seepage Characteristics Of Sandstones With Different Numbers Of Fractures Before And After Grouting, Chen Juntao, Zhou Haoyu, Yu Junjian, Li Guo, Fan Mingjin, Li Lu, Wang Yunhao

Coal Geology & Exploration

Background Grouting in surrounding rocks serves as a conventional approach to controlling disasters in coal mine roadways. The developmental degree of fractures significantly influences the reinforcement and sealing effects of grouting. Methods To determine the changes in the impermeability of fractured surrounding rocks before and after grouting, this study investigated sandstones—the most common sedimentary rocks in coal mines. Using laboratory experiments and numerical simulations, this study explored the permeability variations of sandstone specimens with varying fracture numbers under different confining pressures and assessed the impact of grouting on their seepage performance. Through triaxial compression-seepage experiments using a Rock Top multi-field …

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An Experimental Study On Seepage Characteristics And Grouting-Induced Permeability Reduction Of Burnt Rocks, Qian Ziwei, Tan Chunzhi, Sun Qiang, Wang Hai, Zhang Gailing Jul 2025

An Experimental Study On Seepage Characteristics And Grouting-Induced Permeability Reduction Of Burnt Rocks, Qian Ziwei, Tan Chunzhi, Sun Qiang, Wang Hai, Zhang Gailing

Coal Geology & Exploration

Background Burnt rocks represent special geobodies formed by the spontaneous combustion of coal seams. Their pore and fracture systems provide preferential spaces for groundwater occurrence and migration while also posing severe water hazard threats to the safe mining of adjacent coal seams. Methods To address this engineering challenge, this study systematically analyzed the void structures within burnt rocks using three-dimensional reconstruction technology. Through laboratory seepage and grouting experiments, this study revealed the seepage patterns and grouting-induced permeability mechanisms of typical burnt rock specimens. Results and Conclusions The burnt rock specimens contained highly developed pores and fractures, with the void structures …

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Developmental Pattern Of Water Flowing Fractured Zones In The Soil-Bedrock-Type Overburden And Water-Controlled Mining Strategy Under A Super-Large Mining Height, Zhang Yujun, Hua Zhaolai, Song Yejie, Hu Haoyu, Li Jiawei Jul 2025

Developmental Pattern Of Water Flowing Fractured Zones In The Soil-Bedrock-Type Overburden And Water-Controlled Mining Strategy Under A Super-Large Mining Height, Zhang Yujun, Hua Zhaolai, Song Yejie, Hu Haoyu, Li Jiawei

Coal Geology & Exploration

Background The heights of water flowing fractured zones represent a key concern in the prevention and control of water disasters occurring in mining face roofs and water resource protection of coal mines. Varying lithologies and structures of the overburden are identified as primary factors governing the height and characteristic differences of water flowing fractured zones. Methods Against the engineering background of a mining face with 10 m super-large mining height in the Caojiatan Coal Mine of Shaanxi Province, this study investigated the differences in the mining-induced responses of the soil-bedrock-type overburden using numerical simulations of stress-seepage coupling and measured heights …

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Regularity And Mechanisms Of Water-Sand Inrushes Within Mining-Activated Faults, Zhang Shichuan, Huang Pu, Li Yangyang, Wang Chenggong, Wu Zhenhua Jul 2025

Regularity And Mechanisms Of Water-Sand Inrushes Within Mining-Activated Faults, Zhang Shichuan, Huang Pu, Li Yangyang, Wang Chenggong, Wu Zhenhua

Coal Geology & Exploration

Background During underground coal mining, water-sand mixtures within faults may rush into mine floors. The water-sand inrushes are especially prominent under the conditions of high water-yield properties and loose filling structures in fault zones, severely threatening the safe mining of coal mines. Previous studies focus primarily on the impact of a single factor on inrushes. Hence, it is significant to systematical investigate the regularity of water-sand inrushes within faults under the combined effects of multiple factors. Methods Based on the fluid and granular mechanic theories, this study derived the instability criterion and flow formulas of water-sand mixtures. Using orthogonal experiments …

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Conversion Relationships And Three-Dimensional Storage And Utilization Modes Of Four Water Resources In An Open-Pit Mining Area, Chen Tianci, Xu Zhimin, Sun Yajun, Fang Jie, Wang Qiangmin, Xiong Xiaofeng, Zhu Yuhao, Lu Zihan, Wan Fei Jul 2025

Conversion Relationships And Three-Dimensional Storage And Utilization Modes Of Four Water Resources In An Open-Pit Mining Area, Chen Tianci, Xu Zhimin, Sun Yajun, Fang Jie, Wang Qiangmin, Xiong Xiaofeng, Zhu Yuhao, Lu Zihan, Wan Fei

Coal Geology & Exploration

Background Open-pit coal mines in China are primarily distributed in arid and semi-arid regions such as Xinjiang and Inner Mongolia. However, the contradiction between coal mining and groundwater resource conservation is increasingly prominent in these regions. Specifically, a substantial amount of mine water inflow produced during coal mining tends to lead to the further loss of groundwater resources within the influence range of a mining area. Concurrently, the failure of efficient mine water storage intensifies the regional water shortage.Methods This study investigated a typical open-pit coal mine in eastern Inner Mongolia. Using methods such as field survey and sampling, …

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Multi-Scale Color Correction And Contrast Enhancement Via Leaf In Wind Optimization For Improved Weld Defect Detection In Non- Destructive Testing, Senthil Anand N Mr Jul 2025

Multi-Scale Color Correction And Contrast Enhancement Via Leaf In Wind Optimization For Improved Weld Defect Detection In Non- Destructive Testing, Senthil Anand N Mr

Theses and Dissertations

Image enhancement is an essential process in numerous fields, including industrial inspection, medical imaging, remote sensing, and photography, as it improves image quality for accurate analysis and interpretation. Among the advanced image enhancement techniques, Focused Super Resolution (FSR) with Self-Attention Single Candidate Optimizer-based Generative Adversarial Networks (GANs) is specifically designed for weld defect detection, while Advanced Image Enhancement through Multi-scale Color Correction and Contrast Stretching using Leaf in Wind Optimization focuses on enhancing the overall visual quality of images. Although both approaches aim to improve image quality, they differ significantly in their objectives and application areas. The FSR method concentrates …

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Deformation And Earthquake Potential On The North America - Caribbean - Cocos Triple Junction In Guatemala, Jeremy Maurer, Andreas Eckert, Qiaoqi Sun, Jonathan Obrist-Farner Jul 2025

Deformation And Earthquake Potential On The North America - Caribbean - Cocos Triple Junction In Guatemala, Jeremy Maurer, Andreas Eckert, Qiaoqi Sun, Jonathan Obrist-Farner

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The triple junction between the Cocos (CO), North American (NA), and Caribbean (CA) tectonic plates in Guatemala is a region of high seismic risk and includes many large faults and historic earthquakes. Previous analyses of the tectonic system have been overly simplified, resulting in discrepancies between geologically derived and geodetic models of fault slip rate. This study leverages available geodetic, seismic, and geologic data to develop new strain rate maps and faulting models for the region. We find that locking on the regional faults matches historic reports of large earthquakes and that multiple minor fault segments are active and accommodate …

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Efficient Small Tool Detection In Construction Via Lightweight Deep Neural Networks, Maryam Soleymani Jul 2025

Efficient Small Tool Detection In Construction Via Lightweight Deep Neural Networks, Maryam Soleymani

LSU Master's Theses

Construction sites are dynamic and inherently hazardous environments, where small hand tools—although essential—pose serious safety risks due to their frequent use, portability, and tendency to be misplaced or dropped. This study introduces a novel and lightweight deep learning-based architecture, Lightweight Small Tool Detection (LSTD), specifically designed for fast detection of small tools in unstructured and challenging construction environments. Recognizing that small object detection remains a persistent limitation in existing computer vision models, particularly under poor lighting or cluttered backgrounds, LSTD integrates advanced modules for enhanced feature extraction, fusion, and classification. It achieves notable improvements in accuracy, recall, and computational efficiency …

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Cost-Effective Automated Uhi Mapping With Ai: A Case Study Of A Scalable Framework For Climate Equity In San José, California, Martin Alvarez Lopez Jul 2025

Cost-Effective Automated Uhi Mapping With Ai: A Case Study Of A Scalable Framework For Climate Equity In San José, California, Martin Alvarez Lopez

Master's Theses

Urban areas experience the Urban Heat Island (UHI) effect, with higher temperatures than rural areas, disproportionately impacting low-income communities. Mapping UHIs is a process that usually requires significant amount of human resources, and is not scalable. The lack of accurate and detailed UHI maps makes it difficult for decision makers to design effective mitigation strategies. In this work we introduce a cost-effective, scalable, and universally applicable UHI mapping framework that leverages open-source data and AI-driven feature extraction from remote sensing imagery. Using various causative factors such as city characteristics, anthropogenic heat, city canyons, and meteorological variables, we create UHI maps …

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Stead: Spatio-Temporal Efficient Anomaly Detection For Time And Compute Sensitive Applications, Andrew Gao Jul 2025

Stead: Spatio-Temporal Efficient Anomaly Detection For Time And Compute Sensitive Applications, Andrew Gao

Master's Theses

This paper presents a new method for anomaly detection in automated systems with time and compute sensitive requirements, with unparalleled efficiency. As these systems become increasingly popular, ensuring their safety has become more important than ever. Therefore, this paper focuses on how to quickly and effectively detect various anomalies in the aforementioned systems, with the goal of making them safer and more effective. Many detection systems have been developed with great success under spatial contexts; however, there is still significant room for improvement when it comes to temporal context. While there is substantial work regarding this task, there is minimal …

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Quantization On Graph Neural Networks For Image Classification, Rithik Reddy Katpally Jul 2025

Quantization On Graph Neural Networks For Image Classification, Rithik Reddy Katpally

Master's Theses

Quantization has become a key approach for reducing storage and computational demands of deep neural networks while maintaining high accuracy. Although 8-bit quantization is well-established for convolutional architectures such as ResNet50 and MobileNetV2, its application to graph-based vision models remains underexplored. In this work, we extend quantization-aware training to Vision Graph Neural Networks (ViGs) and conduct comparisons with quantized CNNs on the CIFAR-100 dataset. To ensure parity, all models have same training hyperparameters such as learning rate, batch size, optimizer, number of epochs. We used numerous techniques to preserve performance for low-bit precision. First, Pauta Quantization clips activation outliers based …

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Using Facial Recognition For Selective Pose Detection, William J. Parker Jul 2025

Using Facial Recognition For Selective Pose Detection, William J. Parker

Master's Theses

Pose detection involves locating and identifying key body points for all individuals within a frame. This enables the ability to convert the pose into a digital format, which can then be recorded and analyzed for a variety of purposes. Advancements in the field have already opened applications in areas such as digital fitness coaches, fall detection, and virtual reality. Existing approaches primarily focus on tracking all detected individuals, which limits the practical applications when attempting to analyze a single or specific subject when there are other people in frame. Previous work has discussed integrating identification, but these approaches use identification …

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Quantum Algorithm Emulation Using Fpgas, Samuel Petruescu Jul 2025

Quantum Algorithm Emulation Using Fpgas, Samuel Petruescu

Master's Theses

Field Programmable Gate Arrays (FPGAs) have been used in most of the physics sub-fields for various unique purposes. This includes particle physics, quantum optics, and, more recently, quantum computing. FPGAs boast many benefits over previous experimental and computational setups. They are versatile, easy to program, and cost-effective, leading to an understandable desire to incorporate them into the new field of quantum computing. While FPGAs have been used to help control the readout and control of physical qubits, they can also be a good tool for improving algorithm simulations, which is the focus of this paper. Different algorithms have different computational …

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Sirilla: Predicting Traffic Flow Via Stacked Decentralized Federated Learning, Andrew Selvia Jul 2025

Sirilla: Predicting Traffic Flow Via Stacked Decentralized Federated Learning, Andrew Selvia

Master's Theses

Billions of people today rely on traffic predictions to optimize their travels. Digital mapping services deliver accurate predictions by learning from vast troves of historical data. Impressive as these systems are, their assumptions do not always apply. They depend on an endless flow of sensitive user data to a central authority, a stable Internet connection, and trustworthiness on both sides of the traditional client-server model. This thesis explores a novel architecture which bucks those assumptions. In the proposed model, traffic data remains on edge devices which individually train models via federated learning. Beyond the obvious privacy benefits, this architecture enables …

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Uptake, Distribution, And Activity Of Pluronic F68 Adjuvant In Wheat And Its Endophytic Bacillus Isolate, Anthony Cartwright, Mohammad Zargaran, Anagha Wankhade, Astrid Jacobson, Joan E. Mclean, Anne J. Anderson, David W. Britt Jul 2025

Uptake, Distribution, And Activity Of Pluronic F68 Adjuvant In Wheat And Its Endophytic Bacillus Isolate, Anthony Cartwright, Mohammad Zargaran, Anagha Wankhade, Astrid Jacobson, Joan E. Mclean, Anne J. Anderson, David W. Britt

Biological Engineering Student Research

Surfactants are widely utilized in agriculture as emulsifying, dispersing, anti-foaming, and wetting agents. In these adjuvant roles, the inherent biological activity of the surfactant is secondary to the active ingredients. Here, the hydrophilic non-ionic surface-active tri-block copolymer Pluronic® F68 is investigated for direct biological activity in wheat. F68 binds to and inserts into lipid membranes, which may benefit crops under abiotic stress. F68’s interactions with Triticum aestivum (var Juniper) seedlings and a seed-borne Bacillus spp. endophyte are presented. At concentrations below 10 g/L, F68-primed wheat seeds exhibited unchanged emergence. Root-applied fluorescein-F68 (fF68) was internalized in root epidermal cells and …

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Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein Jul 2025

Mechanical Properties And Temperature Resistance Of Fly Ash-Based Geopolymer Concrete, Hala Emad Elden Fouad, Mohamed I. Serag, Ahmed Ragab, Abdelrahman Hussein

Mansoura Engineering Journal

Global warming is pressing issue, primarily driven by increasing in greenhouse gas emissions with CO2 accounting for 64% of total emissions. It was founded that produce one ton of Ordinary Portland Cement (OPC) producing one ton of CO2. To address these issues, geopolymers derived from fly ash (FA) have been proposed as a superior alternative to cement. This research presents a comparative review of OPC and FA-based geopolymers in the context of CO2 sequestration. The research investigates the behavior of FA-based geopolymer cement, focusing on the influence of preparation conditions on its mechanical performance, bond strength, and the effect of …

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Structural Differential Privacy In Graph Neural Networks, Bibek Giri Jul 2025

Structural Differential Privacy In Graph Neural Networks, Bibek Giri

Master’s Dissertations

Graph Neural Networks (GNNs) have demonstrated impressive performance across a range of graph-based learning tasks. However, their application to domains with sensitive relational data raises serious privacy concerns, as the graph structure itself may leak confidential information. This thesis investigates a decentralized framework for enforcing edge-level local di!erential privacy (LDP) in graph-structured data. We introduce two mechanisms that perturb a node’s neighborhood in a privacy-preserving yet utility-aware manner. The first approach replaces randomly selected neighbors with feature-similar nodes from the 2-hop neighborhood, ensuring structural realism while preserving degree. The second approach eliminates the need for explicit 2-hop propagation and dummy …

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Investigating The Impact Of Agent Openness On Planning In Multi-Agent Systems, Bala Subramanyam Duggirala Jul 2025

Investigating The Impact Of Agent Openness On Planning In Multi-Agent Systems, Bala Subramanyam Duggirala

School of Computing: Dissertations, Theses, and Student Research

Multi-agent systems (MAS) possess significant potential for modeling real-world scenarios requiring coordinated actions (like wildfire fighting or ridesharing) among autonomous entities or agents (e.g., wildfire fighting agents) in complex, dynamic environments. Effective decision-theoretic planning (where each agent must carefully consider both the immediate and the future situations or states, and coordinate with the other agents (neighbors) to evaluate what needs to be done at present) within MAS, especially multiagent planning, where the planning agent directly models its neighbors in order to estimate their optimal actions, is critical, yet challenged by factors like partial observability, openness, and diverse agent types with …

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Shock Induced Droplet Aerobreakup For Newtonian And Non-Newtonian Fluids, James Leung Jul 2025

Shock Induced Droplet Aerobreakup For Newtonian And Non-Newtonian Fluids, James Leung

LSU Doctoral Dissertations

This research investigates shock-induced aerodynamic breakup (aerobreakup) of fluids with different stress-strain behaviors. The central hypothesis is that shear stress from highspeed gas flow manifests differently depending on a fluid’s strain response, influencing droplet breakup morphology, fragment size distribution, and drag-induced acceleration. To test this, experiments and simulations were performed on μm–mm sized droplets of Newtonian (water) and shear-thinning fluids (nanofluids or xanthan gum). Two experimental setups were used: an open-ended shock tube and a closed conventional shock tube. In the openended setup, a normal shock impacts a stationary droplet held by an acoustic levitator. Droplet breakup and gas dynamics …

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Influence Of Zinc Oxide Nanoparticles On The Efficiency Of Oxytetracycline Removal From Wastewater Using Continuous Catalytic Ozonation, Sarmad Al-Anssari, Hassanain A. Hassan, Maha K. Mohsin, Ahmed A. Mohammed Jul 2025

Influence Of Zinc Oxide Nanoparticles On The Efficiency Of Oxytetracycline Removal From Wastewater Using Continuous Catalytic Ozonation, Sarmad Al-Anssari, Hassanain A. Hassan, Maha K. Mohsin, Ahmed A. Mohammed

Research outputs 2022 to 2026

Antibiotics must be fully eliminated before they are released into the environment. In most cases, conventional wastewater treatment systems are not built to handle polar microcontaminants such as antibiotics. Oxytetracycline (OTC) is one of these antibiotics, an environmental hazard contaminant in aqueous solutions. Therefore, an advanced treatment method is needed for wastewater contaminated with antibiotics. In this study, we employed zinc oxide nanoparticles (ZnO), and the catalytic ozonation procedure was employed to increase the ozonation efficiency. A continuous experiment was carried out to compare the effectiveness of catalytic and single ozonation in degrading OTC in a continuous reactor. The flow …

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Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra Jul 2025

Sbv_Dps: A Stacking-Bagging-Voting Nested Ensemble Based Diabetes Prediction System Using K-Fold Cross Validation, Sourabh Shastri, Sachin Kumar, Paramjit Kour, Vibhakar Mansotra

Mansoura Engineering Journal

With the advancement of machine learning techniques, the introduction of the most accurate model has become a necessity. In real-world scenarios, every model has some constraints and assimilates errors, so their performance is not always highly efficient; this sparked the development of ensemble learning. The ensemble approach aims to consolidate the strengths of existing approaches and minimize their weaknesses or decision-making risks. The proposed diabetes prediction system encases a resampling filter, applied to balance the dataset and model builder method, i.e., without the SBV ensemble and with the SBV ensemble method. The model is initially built without using the SBV …

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From Devices To The Cloud: Digital Forensics In The Changing Social Media Landscape, Joseph Brown Jul 2025

From Devices To The Cloud: Digital Forensics In The Changing Social Media Landscape, Joseph Brown

LSU Master's Theses

This thesis presents a comprehensive digital forensic analysis of emerging and alternative social media platforms, including Truth Social, Threads, Bluesky, Nextdoor, and Neighbors. These platforms, which range from politically aligned alt-tech networks to hyperlocal neighborhood apps, present unique forensic challenges and security vulnerabilities. Across all case studies, established forensic techniques were applied using a hybrid methodology combining mobile device analysis, network traffic monitoring, and API interrogation. Findings include the discovery of plaintext credentials, session tokens, and other sensitive artifacts, particularly in platforms with weaker security postures such as Truth Social, Bluesky, Nextdoor, and Neighbors. Threads, by contrast, demonstrated greater resilience …

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Dynamic Sparsification In Secure Gradient Aggregation For Federated Learning, Bikash Samanta Jul 2025

Dynamic Sparsification In Secure Gradient Aggregation For Federated Learning, Bikash Samanta

Master’s Dissertations

Secure aggregation is a critical component of privacy-preserving federated learning. However, existing fixed-sparsity approaches often incur unnecessary communication overhead. We present DynamicSecAgg, a novel framework that introduces dynamic sparsity while preserving coordinate-level privacy. Our method achieves significant improvements in communication efficiency while maintaining — and in some cases improving — model accuracy across both IID and non-IID user distributions. The framework maintains information-theoretic privacy guarantees via adaptive gradient thresholding and polynomial-based aggregation, proving particularly effective under heterogeneous data settings. These results establish dynamic sparsity as a key optimization for efficient and privacy-preserving federated learning.

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Cloud-Assisted Multi-Channel Data Broadcasting, Debabrata Maji Jul 2025

Cloud-Assisted Multi-Channel Data Broadcasting, Debabrata Maji

Master’s Dissertations

The convergence of Internet of Things (IoT) and cloud computing has transformed technology, impacting commerce, industrial production, data management, etc. Multi- Channel Broadcast Encryption (MCBE), first introduced by Phan et al. (ASIACCS 2013), is a cryptographic encryption primitive used for both IoT and Cloud that permits a sender to e!ciently and securely encrypt several messages for di”erent groups of receivers. After thoroughly exploring the existing literature, we observe that none achieves the robust provable security within the standard model. This paper addresses this gap, aiming to achieve adaptive INDistinguishable under full-IDentity Chosen-Ciphertext Attack (IND-ID-CCA) security by constructing an e!cient identity-based …

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Modeling The Influence Of Silicon Content On Electrochemical Performance Of Silicon-Graphite Blended Electrodes Considering Voltage Hysteresis, Mohamed Atwair, Paul T. Coman, Ralph E. White Jul 2025

Modeling The Influence Of Silicon Content On Electrochemical Performance Of Silicon-Graphite Blended Electrodes Considering Voltage Hysteresis, Mohamed Atwair, Paul T. Coman, Ralph E. White

Faculty Publications

Silicon, with its high specific capacity, is a highly promising material for lithium-ion battery anodes. To enhance durability, it is commonly combined with graphite in composite anodes. Despite this, the electrochemical dynamics between silicon and graphite are not yet fully understood. Modeling serves as an important tool for analyzing and improving batteries, but current models lack comprehensive representation of the coupled electrochemical and structural behavior of silicon-graphite blended electrodes. Herein, we present a comprehensive model for blended Si/Gr electrodes that incorporates the distinct properties and kinetics of each material. Our approach accounts for the dependence of electrode thickness and solid …

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Humanization Strategy Of The Public Urban Space In Cairo, Rania Badawy Shokry Jul 2025

Humanization Strategy Of The Public Urban Space In Cairo, Rania Badawy Shokry

Mansoura Engineering Journal

An accurate scientific definition of the term “humanization of cities” has not yet crystallized, which refers the term to the word from which it is derived. She is "human". Obviously, anything contrary to it is inhuman; starting from wild nature or a life entirely dependent on vehicles. If a person cannot dispense with vehicles when carrying out his daily activities, then here we know that the standard of humanization in a place is low. However, if the planning of a city or neighborhood takes into account the needs of the population and the human standard, then the city may reach …

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Multi-Party Key Establishment For Resource-Constrained Devices, Supriyo Banerjee Jul 2025

Multi-Party Key Establishment For Resource-Constrained Devices, Supriyo Banerjee

Master’s Dissertations

As the number of IoT (Internet of Things) devices continues to grow, ensuring secure communication among them has become increasingly important. Traditional pairing schemes rely on centralized architectures, which are vulnerable to temporary or permanent failures due to operational malfunctions of their central hubs or gateways. To address these challenges, decentralized communication is essential. However, existing decentralized pairing schemes suffer from high pairing times and significant computational overhead. Given the diverse capabilities of IoT devices, ranging from high-performance edge devices to resource-constrained sensors, many of these schemes become impractical in real-world scenarios. Therefore, we require a lightweight pairing scheme. Our …

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Turning Data Into Guardrails-Decoding Financial Vulnerability Through Behavioural Signs, Debanwita Hajra Jul 2025

Turning Data Into Guardrails-Decoding Financial Vulnerability Through Behavioural Signs, Debanwita Hajra

Master’s Dissertations

This report presents the work I did during my internship at Hongkong and Shanghai Banking Corporation (HSBC), Kolkata. As a financial institution, the strength of the bank is fundamentally rooted in the behavior and reliability of its customers. Understanding this behavior is not only desirable; it is essential for the security, risk mitigation and future strategic planning of the bank. To do this, banks must invest in a thorough analysis of the financial behavior of their customers to detect early signs of risk and act accordingly. I worked in the Finance Support Team within the Data and Analytics division, where …

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