Digital Commons Network^™

Developing A Prototype Of A Smart-Lighting System For Isolated Rural Intersections: Phase 2, Vinod Vasudevan, Mohammad Heidari Kapourchali

CSET Project Reports

Rural intersections are high-risk locations for road users. Particularly, during the nighttime, lower traffic volumes make it difficult for drivers to discern an intersection despite traffic signs. The lack of alertness may lead to severe crashes. An effective way to reduce the likelihood of crashes at isolated intersections is to warn road users of the intersection in advance. A smart-lighting system can detect approaching vehicles using sensors to illuminate the intersection. In the first phase of this project, we developed a prototype of a demand-responsive light. This report documents the second phase of development and deployment of a smart-lighting system …

Development Of Low-Profile Wideband Microstrip Antennas For Cubesat Phased-Array Applications, Mitchell R. Hay

Engineering

CubeSat missions rely heavily on effective communication systems in order to transmit and receive large amounts of data quickly and efficiently. The total throughput is limited by the capacity of the channel - a quantity dependent upon the signal quality and bandwidth of the link. Volume and power constraints on a CubeSat impede overall capacity in a fixed bandwidth channel. Phased-array antennas provide a more power efficient solution to improving signal quality by optimizing the spatial properties of the link, rather than broadcasting higher signal power over a broader area through power amplification alone. In order to take advantage of …

Effects Of Vertical Earthquake Component On Columns Of Reinforced Concrete Moment Frames Across Different Seismic Zones, Sujata Neupane

Engineering

This thesis investigates the impact of vertical earthquake ground motion on the seismic performance of reinforced concrete (RC) moment-resisting frames. A 12-story RC moment­ resisting frame, designed in accordance with the NEHRP 2015 seismic provisions for Honolulu, Hawaii, was selected. The building was analyzed using nonlinear time history analysis in OpenSees to capture its seismic response under realistic loading conditions. Earthquake records from four seismically active regions—Kathmandu (Nepal), Anchorage (Alaska), El Centro (California), and Honolulu (Hawaii)—were applied to evaluate the influence of vertical ground motion across different seismic zones. Site-specific amplification and scaling factors were implemented to ensure uniformity in …

An Analysis Of Vulnerable Road User Crashes In Alaska Using Spatio-Temporal Methods, Santosh Adhikari

Engineering

This study presents a two-part investigation into the spatial patterns of crashes and safety of vulnerable road users (VRUs). VRUs, cyclists and pedestrians in this context, represent approximately 18% of traffic fatalities in Alaska annually. However, existing studies on VRU safety in Alaska are limited and causal factors and effects of safety projects are not well understood making it difficult to implement targeted and strategic approaches to improve VRU safety. To that end, the objectives of this research are two-fold: 1) analyze spatial interactions of VRU crashes involving risk tolerant behaviors; and 2) evaluate the effectiveness of Highway Safety Improvement …

The Wnba And Activism: A Case Study Of Power Of The Dream, Jakki Padilla

Communication

This thesis looks at how WNBA players used their platform to stand up for social and political change during the 2020-2021 season. This research focuses on the documentary Power of the Dream (Porter, 2024), which follows the Atlanta Dream and other WNBA players during a time of a global pandemic, racial injustice, and an election year. Guided by public relations scholars Bernays (1961), Curtain and Gaither (2007), Ciszek (2015) for my methodology. By using the Cultural-Economic Model (CEM) (Ciszek, 2015) and understanding their five interconnected components to guide understanding of activism in sports. By using thematic analysis (Braun & Clarke, …

Alaska Earthquake Center Quarterly Review January-March 2025, Heather Mcfarlin, Will Dienstfrey, Alexandra Farrell, Beth Grassi, Stephen Holtkamp, Nate Murphy, Elisabeth Nadin, Carolyn Parcheta, Angelica Stabs, Michael West

Alaska Earthquake Center Reports

This series of technical quarterly reports from the Alaska Earthquake Center (AEC) includes detailed summaries and updates on Alaska seismicity, the AEC seismic network and stations, fieldwork, our online presence, public outreach, and lists publications and presentations by AEC staff. Multiple AEC staff members contributed to this report.

A Contemporary Approach For Exploring The Influence Of Detoxification And Standardization Of Traditional Metallopharmaceutical Product Pharmacological And Toxicological Aspects, Malarvizhi K

Theses and Dissertations

Polyherbomineral formulation possess unique medicinal properties due to the presence of metals and minerals as integral part, as processed in addition to specific herbals. There is an increased interest in metallopharmaceuticals in clinical and research areas, because of their immense therapeutic efficiency towards multiple diseases and evidence for non-toxic claim. Sivanar Amirtham is one of the polyherbomineral Siddha medicine recommended for the treatment of various respiratory diseases and other ailments including antidote therapy for poisonous bites. The present research work attempted for standardization of Sivanar Amirtham preparation as per the traditional standard protocols (including the detoxification process of raw materials) …

Magnetic Molecularly Imprinted Polymers For Quercetin Adsorption: Fabrication, Characterization, And Application, Vinitha Ug

Theses and Dissertations

A highly selective Magnetic Molecularly Imprinted Polymer (MMIP) was developed for the detection and purification of Quercetin. The Density Functional Theory was utilized for the selection of suitable monomers based on binding energy interaction between quercetin and monomers (Acrylamide, Acrylonitrile, Methacrylic Acid). From computational studies, Acrylamide was selected as a suitable monomer for the synthesis of MMIP. Under ultrasound irradiation both quercetin and naringin imprinted materials MMIP-Q and MMIP-N were fabricated.

Compared to ultrasound-assisted synthesis, Microwave Synthesis provides uniform heat transfer throughout the reaction solution, which enables uniformity in the size of synthesised material, increases the yield of material and …

Design And Development Of Deep Learning Based Generic Platform For Promoting Precision Agriculture, Srilakshmi A

Theses and Dissertations

Precision agriculture also referred as precision farming or smart farming, is an innovative approach to agricultural management that leverages technology and data to optimize various aspects of the farming process. This approach aims to make farming more effective, sustainable, and profitable by affording farmers with the application tools and information they need to make more informed decisions.

Precision agriculture combines elements of agriculture, technology, and data science to enhance crop production, and resource utilization. Precision agriculture techniques can be highly effective in leaf disease detection within crop fields. Machine learning has been developed incredibly across multiple domains and shown it …

Factors Influencing The Performance Of Farmer-Producer Organizations (Fpos) And Their Societal Impact In Tamil Nadu, Arjune S

Theses and Dissertations

Farmer Producer Organizations (FPOs) are formed mainly for the farmers to have better institutional access to acquire them. They are also under the inspiration of the director's abstinence and the incentive of getting more money. These are socio-psychological individual differences and thus of importance to markets, the perception of markets, and market relevance of group interaction. Self-esteem, attitude to participation in group activities, and willingness to participate in these types of activities are of some significance for his/her performance because they have an effect on their performance afterward.

Farmer social empowerment increased but not farmer economic empowerment did so much …

Facile Fabrication Of Protein-Polysaccharide Conjugate Multifilament Nerve Guidance Conduit For Peripheral Nerve Regeneration, Preethy Amruthavarshini R

Theses and Dissertations

Long segmental defects in peripheral nerves impair sensory and motor function by disrupting neural impulse transmission. End-to-end autologous grafting with proper fascicular complementation has demonstrated functional recovery per the Medical Research Council Classification (MRCC). However, obtaining donor nerve tissue exceeding 30 mm remains a significant challenge. Artificial hollow conduits serve as an alternative but are limited to defects smaller than 30 mm due to inadequate innervation across the lumen.

Multichannel nerve guidance conduits (mNGCs) have emerged as a promising solution by enhancing fascicular complementation similar to autografts. This study presents a two-step approach for fabricating nerve conduits with precise fascicular …

3d Bioprinting On Electrospun Nanofibrous Scaffolds To Fabricate Myocardial Patches, Muthu Parkkavi S

Theses and Dissertations

Tissue-engineered three-dimensional (3D) myocardial patches offer superior and innovative treatment strategy for myocardial infarction (MI). Among the various scaffold fabrication techniques, electrospinning and 3D bioprinting have received great attention due to their ability to recreate native cardiac tissue mimetic characteristics. Despite several advantages, electrospun nanofibers have limitations in cell delivery due to random cell seeding, while bioprinting faces challenges in creating hydrogel constructs with ideal mechanical properties capable of supporting cardiac contraction/relaxation cycle. Hence in this work, hybrid myocardial patches were developed by converging electrospinning and bioprinting techniques.

Electrospinning of PLCL:PEOz (B73, 7:3 blend of poly-L-lactide-co-ε-caprolactone (PLCL) and polyethyl oxazoline …

Detailed Modelling And Analysis Of A Shake Table Comprising Hybrid Actuation And Load-Balancing Mechanism, Xavier Reni Prasad

Theses and Dissertations

Catastrophic earthquakes endanger human lives by severely damaging critical infrastructure such as nuclear plants, bio-laboratories, and bridges. Developing earthquake-resistant structures is vital to mitigate these risks. Shake tables replicate recorded earthquake ground motions to assess structural performance. This research presents a novel three-legged, six degrees of freedom (6-DOF) hybrid shake table with a cost-effective design and decoupled motion control, offering a viable alternative to conventional six-legged models.

This architecture effectively decouples actuator motions by employing hydraulic actuators for 3-DOF spatial movement and electromechanical actuators for 3-DOF planar motion. Servo-hydraulic actuators support the static payload against gravity, while lightweight electromechanical actuators …

Structural Response Of Rc Columns Strengthened Using Bfrp Based Bfegc System – Under Fire And Cooling Regime, Ruba P

Theses and Dissertations

Retrofitting fire-damaged columns is essential for restoring structural integrity. This study evaluates the effectiveness of BFRP based Basalt fiber Engineered Geopolymer Composites (BFEGC). The performance of basalt fiber wrapping and BFEGC was tested for fire protection system and retrofitted system. An optimal BFEGC mix achieved a compressive strength of 55.34 MPa, with split tensile strength, flexural strength, and strain hardening behaviour of 15.5 MPa, 5.13 MPa, and 6% respectively.

Microstructural analysis was accessed for the optimum mix. Durability tests include water absorption, sorptivity, and RCPT which confirmed compliance with standards. Thermo gravimetry analysis (TGA) shows the minimal weight loss of …

Hindcasting The Occurrence Time Of Major Earthquakes Using Machine Learning And Time Series Analysis, Rubidha Devi D

Theses and Dissertations

An earthquake is an intense shaking of the ground that typically occurs when tectonic plates move beneath the surface of the Earth. Scientists analyze historical seismic records and geophysical and atmospheric signs to build models estimating the probability of major earthquakes by detecting patterns and anomalies in data such as ground deformation and seismic waves. This study would help in predicting earthquakes to minimize risks of people and buildings.

The present study investigates the devastating earthquakes along the Chilean subduction zone in South America, linking non-seismic data to machine learning predictions of Outgoing Longwave Radiation (OLR) and Relative Humidity (RH) …

Encountering And Mitigating Selfish Mining In Bitcoin Mining Pools, Jeyasheela Rakkini M J

Theses and Dissertations

Blockchain, an innovative decentralized distributed, disrupting programming paradigm embodies key principles such as decentralization, data provenance, immutability, and transparency. At its core blockchain begins with the genesis block and progresses with each subsequent block containing the hash of the previous block, Merkle root, timestamp, a coin base transaction address, and a nonce. Miners compete to discover a target hash value (hash value of the previous block and nonce) for the current block, that is less than or equal to the difficulty value set by the system, a process known as mining.

This work encounters selfish mining attacks in bitcoin mining …

Computational Studies On The Major Antioxidant Enzymes Of Wuchereria Bancrofti Towards The Development Of Anti Filarial Leads, Sureshan M

Theses and Dissertations

Lymphatic filariasis (LF), or elephantiasis, is a mosquito-borne parasitic disease affecting the lymphatic system, primarily in tropical and subtropical regions. It is the second leading cause of long-term disability and a neglected tropical disease. According to WHO, LF threatens 882 million people in 44 countries, with over 9 billion treatments administered. The disease is caused by three nematodes: Wuchereria bancrofti (90% of cases worldwide, including India), Brugia malayi (10% in Southeast and Eastern Asia), and Brugia timori (found in Timor and nearby islands). Lymphatic filariasis (LF) is an ancient disease that continues to challenge scientists and physicians. Current treatments include …

Impact Of Ionic Liquids On The Treatment Of Various Derivatives Of Prosopis Juliflora For Removing Toxic Pollutants From Wastewater, Karthikeyan A

Theses and Dissertations

Water resources are increasingly contaminated by toxic pollutants, particularly industrial effluents, posing significant environmental concerns. Addressing the toxicity of these pollutants, especially those released from textile industries, presents challenges due to their harmful effects on living organisms. Various treatment methods are employed to mitigate this issue, including coagulation, flocculation, membrane filtration, photocatalytic degradation, adsorption, anaerobic processes, and chemical oxidation. Among these, adsorption emerges as an effective and economical method due to its minimal secondary contamination, negligible sludge production, and the use of inexpensive agricultural and marine waste materials.

This study examines the ability of Prosopis juliflora treated with imidazolium-based ionic …

Comparative Analysis Of Copyright In Electronic Games And Its Impact On Personality Rights, Abhinaya R

Theses and Dissertations

In India and globally, the electronic gaming business is a rapidly growing and evolving sector both in terms of revenue as well as technological creativity. Over the last 20 years, the video game business has seen significant change. It has transcended borders and is no longer limited to a single or a few players played within a room. Modern video games, unlike their predecessors, include many distinctive visuals and other components are and closely compared to motion pictures.

Electronic games and their complexities present unique challenges to copyright law. In this research, the researcher explores and examines issues in the …

Hindcasting The Occurrence Time Of Major Earthquakes Using Machine Learning And Time Series Analysis, Rubidha Devi D

Theses and Dissertations

An earthquake is an intense shaking of the ground that typically occurs when tectonic plates move beneath the surface of the Earth. Scientists analyze historical seismic records and geophysical and atmospheric signs to build models estimating the probability of major earthquakes by detecting patterns and anomalies in data such as ground deformation and seismic waves. This study would help in predicting earthquakes to minimize risks of people and buildings. The present study investigates the devastating earthquakes along the Chilean subduction zone in South America, linking non-seismic data to machine learning predictions of Outgoing Longwave Radiation (OLR) and Relative Humidity (RH) …

Artificial Intelligence-Based Adaptive Data-Driven Techniques For Disruption Prediction In Tokamak, Priyanka M

Theses and Dissertations

Tokamaks are nuclear fusion reactors designed to generate sustainable energy by confining plasma, yet plasma disruptions remain a major obstacle as they can damage reactor components and interrupt fusion reactions. Addressing this challenge requires reliable models that can classify plasma discharges and predict disruptions in advance. This thesis develops machine learning and deep learning approaches to improve both classification and forecasting.The first contribution is a semi-supervised active learning framework, Nearest Margin-Ranked Batch Mode Active Learning (NM-RBMAL), integrated with an ensemble model.

Unlike traditional classifiers that operate on static training data, this approach continuously adapts to new plasma conditions, reducing model …

Ai Based Early Detection Of Hormonal Imbalance And Poly-Cystic Ovary Syndrome In Young Women, Reka S

Theses and Dissertations

A hormonal disorder, Poly-Cystic Ovary Syndrome (PCOS) usually affects women during the reproductive age. It is characterised by imbalances in hormones, particularly a rise in the female body's androgen level (male hormone) and enlarged ovaries with small cysts. PCOS can cause ovarian cysts, weight gain, acne, excessive hair growth, insulin resistance, and irregular menstrual cycles along with other health problems. While the exact origin of PCOS is uncertain and its symptoms are unclear, diagnosing PCOS in real-world conditions is a difficult task. Therefore, prompt and precise PCOS diagnosis is essential for efficient treatment and for averting long-term issues.

Clinicians typically …

Biogenic Calcite Precipitation For Coastal Sand Stabilization: A Synergistic Approach Using Marine Bacteria And Natural Fibers, Aparna Gs

Theses and Dissertations

Coastal erosion, driven by natural forces such as waves, tides, winds, and currents and further intensified by anthropogenic activities like urbanization, climate change, and coastal infrastructure development, poses a significant threat to shoreline stability. Conventional erosion control methods, including jetties, embankments, and artificial reefs, often face limitations in sustainability and effectiveness. In this context, microbially induced calcite precipitation (MICP) has emerged as a promising ecofriendly solution for ground stabilization.

The present study investigates the potential of an indigenous ureolytic marine bacterium, Bacillus sp. N₉, isolated from the coastal sediments of Nagapattinam, Tamil Nadu, for coastal sand stabilization. The strain was …

Bioprospecting Of Wheat Straw Pyrolysis Aqueous Phase To Combat Multi-Drug Resistant Pathogens, Srividhya K

Theses and Dissertations

Hospital-acquired infections (HAIs) significantly contribute to the emergence and spread of antimicrobial resistance (AMR), primarily through the contamination of high-touch surfaces. Current disinfectants have drawbacks like high environmental persistence, ecotoxicity, and resistance development, prompting the need for environmentally friendly alternatives.

One potential approach is pyrolysis, during which the biomass components are broken down into solid, liquid, and pyro-gas. The aqueous phase of the liquid fraction is usually discarded as waste, but it contains a variety of organic compounds that have the potential for antibacterial and antifungal activity. The present study assessed the anti-infective and anti-biofilm properties of wheat straw pyrolysis …

Fabrication Of Transparent Conducting Electrodes By Chemical Approaches & Their Application Towards Sensing And Energy Storage, Namuni Sneha

Theses and Dissertations

In the intelligent era, there is a growing demand for developing highly efficient and robust wearable electrodes through simple chemical approaches. We developed highperforming transparent electrodes using interconnected Au nanoparticle networks via a simple liquid-liquid interface approach that offers high conductivity, transparency (>85%), and mechanical durability. Additionally, the prepared electrodes exhibit tunable transmittance and sheet resistance, and the method was also adaptable to various substrates without harsh chemical or thermal treatments.

Furthermore, using Au 1L (1-layer) nanonetwork, a highly transparent breath sensor is fabricated with short response and recovery times (1.1 s and 1.3 s). The Au-1L sensor is …

Design And Investigation Of Deep Eutectic Solvent-Assisted Extractive Fermentation Of Biomolecules, Ramya M

Theses and Dissertations

The increasing demand for sustainable and efficient bioprocessing techniques has prompted the development of novel separation strategies integrating bioproduction with downstream processing. Extractive fermentation has emerged as a promising process intensification to overcome product inhibition and enhance productivity by constantly removing target biomolecules from the fermentation medium. Although the extractive fermentation of acids and alcohols has been extensively studied, less attention has been focused on green solvents and their compatibility, phase-forming abilities, and reactor configurations.

Therefore, advancing extractive fermentation technology necessitates comprehensive studies on solvent systems and the development of modified bioreactor configurations to aid future optimization. Initially, 22 DESs …

Fabrication Of Protein-Based Nanomicelle Against Inflamed Synoviocytes In Rheumatoid Arthritis, Madhumithra Thangadurai

Theses and Dissertations

Rheumatoid arthritis (RA) is a chronic autoimmune disease marked by persistent synovial inflammation, progressive cartilage and bone destruction, and systemic complications. 1% of the global population are affected by RA, when their immune system targets synovial tissues, leading to joint pain, swelling, and functional disability. Standard treatments, such as disease-modifying antirheumatic drugs (DMARDs) like methotrexate (MTX), are limited by systemic toxicity and inconsistent patient responses, highlighting the need for improved therapies. This research work explores protein-glycosaminoglycan nanomicelles engineered using Zein with Chondroitin or carboxymethylated Dextran Sulfate as targeted drug delivery vehicles for RA.

MTX was encapsulated within these nanomicelles to …

Aerodynamics And Vibrational Characteristics Of Vertical Axis Wind Turbine With Bio-Inspired Lep (Leading Edge Protuberance) Blades, Karthik Vel E

Theses and Dissertations

The growing wind energy sector and demand for renewable energy have led to increased wind turbine installations and alternatives to horizontal-axis wind turbines, such as small-scale turbines. The trends are shifting toward the use of readily available energy alone or with sustainable sources, such as solar or geothermal energy. The creation of self-sustaining energy capture and urban installations for developing smart grids is in great demand. A vertical-axis wind turbine is one such alternative. The performance of vertical-axis wind turbines is affected by drag, dynamic stalls, and vibrations from turbulent flow. Time-varying flow causes structural instabilities, leading to the vibration …

Developing A Deep Learning Model For Detection Of Spontaneous Combustion In Open Pit Coal Mines, Jatin Juneja

Engineering

Spontaneous combustion in coal mines have been a concern for miners all over the world, particularly in China, the USA and India. If allowed to establish over a large area it can become a serious environmental concern. It is important to detect it at initial stages and isolate affected coal seam to quench fire. Monitoring combustion in spoil piles of abandoned and artisanal coal mines is even more difficult due to lack of access to regulating authorities. By using Deep Learning Neural Networks, Convolutional Neural Network models can be trained to detect spontaneous combustion. These scans can be made more …

Optimal Control And Inverse Problems For Partial Differential Equations And Variational Inequalities, Olha Sus

Mathematics and Statistics

This dissertation addresses optimal control problems for nonlinear evolutionary variational inequalities involving Volterra-type operators and inverse problems for the Dirac system on finite metric graphs. The first part presents the historical background, novelty, and motivation behind the research studies. In the second part, we focus on solving the initial value problem for nonlinear evolutionary variational inequalities with Volterra-type operators, proving the existence of a unique solution using the Banach fixed-point theorem. The third part explores an optimal control problem for these inequalities, establishing the existence of a solution under specific assumptions on the given data. In the last part of …