Digital Commons Network^™

A Review On Chemometrics And Climate Change: Insights From Malaysia Case Study, Ismafatin Nabilah Ismail, Mohd Khairul Amri Kamarudin, Wan Nor Azilawanie Tun Ismail, Noorjima Abd Wahab, Ahmad Shakir Mohd Saudi, Mohd Ekhwan Toriman, Firdaus Mohamad Hamzah, Septi Ariadi

Applied Environmental Research

Climate change consider as main issues and concerns in Malaysia over the decade. Chemometrics techniques have been used in many climate change issues to address the limitations of climate change monitoring studies. In climate change areas, chemometrics is a valuable tool for assessing the correlation between different climate change factors, especially in vast and intricate databases. The purpose of the review was to evaluate and summarise the available data and restrictions regarding the use of chemometrics techniques in Malaysian environmental studies. The study conducted a thorough analysis of pertinent scientific papers published between 2019 to 2023 that addressed the main …

Optimizing Tenebrio Molitor Feeding Strategy To Induce Physical Degradation Of Tires: A Novel Approach For Sustainable Waste Management, Abdussalam Topandi, Khadijah Sayyidatun Nisa, Fatimah Azizah Riyadi, Ibnu Maulana Hidayatullah, Pranata -, Firah Gustianda Ayu, Reynaldi Ivan Prasetya, Frederick Soetandar, Dimas Rafi Narawangsa, Eka Rahayu

Applied Environmental Research

Due to the increased usage of tires, the accumulation of worn tires has become a significant environmental concern and necessitates environmentally friendly waste management strategies. Conventional methods, such as tire incineration or improper disposal, contribute to environmental degradation. It is reported that organisms, such as Tenebrio molitor larvae, can degrade a wide range of polymers. This study explores the promising potential of Tenebrio molitor larvae in addressing this concern. Through a series of experiments, Tenebrio molitor larvae were fed with cut-worn tires to facilitate degradation. The larvae exhibited remarkable capabilities, surviving and thriving on tires as a sole carbon source …

Screening, Isolation And Hydrocarbon Degradation Characteristics Of Yeasts From Mangrove Sediments Of Kerala, Vidya Pothayi, Sreedevi N Kutty, Sebastian Chempakassery Devasia

Applied Environmental Research

The aim of the present work was to examine the hydrocarbon degradation potential of yeasts isolated from the mangrove sediments. Mangrove sediments around the world were considered to be heavily polluted with oil contaminants and the microbes dwelling in them were believed to be highly active in metabolizing and detoxifying the oil fractions. In the present study, 70 yeast isolates were screened for their lipolytic activity qualitatively and 35 of them which showed comparatively higher lipolysis were tested for their crude oil degradation ability. Screening of hydro-carbon utilizing isolates was performed on Bushnell Haas agar media overlaid with 1% crude …

Application Of Remote Sensing In Analyzing Mangrove Forest Changes And Drivers In Mui Ca Mau National Park, Vietnam, Nguyen Thi Huyen, Le Hoang Tu, Phan Thi Ha, Nguyen Kim Duyet, Nguyen Kim Loi

Applied Environmental Research

Mangroves are vital in coastal ecology and for sustaining and securing coastal communities. However, several factors such as human activities and climate change have changed mangroves' quantity and quality. This research analyses land-use/land cover (LULC) changes focusing on mangroves in Mui Ca Mau National Park (MCMNP) from 1995-2022. Collected Landsat imagery in 1995, 2003, and 2022 were applied to perform this research. Overall accuracy and Kappa of land cover classification were 88.5% and 0.86 in 2003, and 87.6% and 0.85 in 2022, respectively. The classified results showed that the mangrove area had increased significantly from 4,316.1 hectares in 1995 to …

Establishing Optimal Machine Learning Models For Monitoring Water Quality In Vietnam’S Upper Ma River, Thanh-Son Ngo, Duc-Loc Nguyen

Applied Environmental Research

This study aims to establish the optimal regression model for predicting total suspended solids (TSS) and Turbidity based on in situ data and spectral regions of Sentinel-2 images. Various machine learning models were evaluated, including Multilayer Perceptron Regression (MLPR), Random Forest Regression (RFR), AdaBoost Regression (ABR), Multiple Linear Regression (MLR), and K-Nearest Neighbors Regression (KNNR). These models were applied to different band combinations of spectral regions: visible (VIS), near-infrared (NIR), shortwave-infrared (SWIR), VIS+NIR (VNIR), and VIS+NIR+SWIR (VNIR+SWIR). The study results revealed that the MLR model, while not the best performer during training (R2 = 0.89 for TSS and R2 = …

Simulation Of Wave Propagation In Granular Particles Using A Discrete Element Model, Syed Tahmid Hussan

College of Graduate Studies: Theses & Dissertations

The understanding of Bender Element mechanism and utilization of Particle Flow Code (PFC) to simulate the seismic wave behavior is important to test the dynamic behavior of soil particles. Both discrete and finite element methods can be used to simulate wave behavior. However, Discrete Element Method (DEM) is mostly suitable, as the micro scaled soil particle cannot be fully considered as continuous specimen like a piece of rod or aluminum. Recently DEM has been widely used to study mechanical properties of soils at particle level considering the particles as balls. This study represents a comparative analysis of Voigt and Best …

The Importance Of Cryptography In Cloud Computing, Saja Alaam Talib

Al-Esraa University College Journal for Engineering Sciences

Cloud computing has grown as a widely accepted concept simultaneously, as the alarms for the security of data and information. This paper seeks to establish the comprehensive roles of cryptography in tackling these issues in the Cloud environment. The study begins with the historical background of cryptography and then moves on to analyze trends in information technology before discussing on the challenges to security in cloud computing. The goal of its publication is to highlight the importance of using cryptographic technologies for the protection of information confidentiality, its integrity and compliance. The combination of literature review and the case study …

การวิเคราะห์หาเวลาหยุดที่เหมาะสมของหุ้นกู้แปลงสภาพได้ในโครงสร้างพื้นฐานร่วมลงทุนระหว่างรัฐและเอกชน โดยใช้คอปูลา, สหัสวรรษ พาคำ

Chulalongkorn University Theses and Dissertations (Chula ETD)

ในอนาคตประเทศไทยจะมีโครงการร่วมลงทุนระหว่างรัฐและเอกชน (Public Private Partnership หรือ PPP) เกิดขึ้นในต่างจังหวัดเพิ่มมากขึ้น ทำให้นำมาซึ่งความเสี่ยงหลายด้าน เช่น ความเสี่ยงด้านจำนวนผู้ใช้บริการ ความเสี่ยงด้านรายได้จากการจัดเก็บค่าธรรมเนียม และความเสี่ยงด้านเงินกู้ เป็นต้น ส่งผลให้ภาคเอกชนขาดความมั่นใจเข้าร่วมลงทุนในโครงการ PPP ในต่างจังหวัด เพื่อแก้ปัญหาดังกล่าวภาครัฐต้องให้การสนับสนุนทางการเงินในโครงการ PPP ดังนั้น งานวิจัยนี้จึงมีจุดประสงค์เพื่อศึกษาการใช้เงินทุนชั้นลอยด้วยการใช้หุ้นกู้แปลงสภาพ (Convertible debenture) เป็นหุ้นกู้ที่ให้สิทธิหน่วยงานรัฐเป็นผู้ถือหุ้นในโครงสร้างเงินทุน ซึ่งเป็นรูปแบบการสนับสนุนทางการเงินใหม่ในโครงการ PPP และศึกษาสัดส่วนโครงสร้างเงินทุนที่เหมาะสม โดยเสนอการพัฒนาตัวแบบทางคณิตศาสตร์เพื่อวิเคราะห์หาเวลาหยุดที่เหมาะสมสำหรับการแปลงหนี้ให้เป็นทุน ทั้งการวิเคราะห์แบบ Deterministic และ Stochastic ภายใต้สถานการณ์ความไม่แน่นอนของตัวแปรเสี่ยงหลายตัว โดยใช้คอปูลา (Copula) วิเคราะห์ตัวแปรเสี่ยงที่มีความสัมพันธ์กัน ซึ่งจะช่วยเป็นการกำหนดตัวแปรสำคัญในตัวแบบทางคณิตศาสตร์ และนำตัวแบบทางคณิตศาสตร์ไปประยุกต์ใช้กับโครงการตัวอย่างจริง คือ โครงการทางพิเศษสายเมืองใหม่-เกาะแก้ว-กะทู้ จังหวัดภูเก็ต โดยเสนอเป็นทางเลือกให้กับหน่วยงานรัฐนำหุ้นกู้แปลงสภาพไปประยุกต์ใช้กับโครงการ PPP เพื่อวิเคราะห์เปรียบเทียบรูปแบบการสนับสนุนและโครงสร้างเงินทุนที่เหมาะสมสามกรณี ผลลัพธ์ที่ได้ คือ กรณีที่สามหน่วยงานรัฐให้การสนับสนุนเงินทุนชั้นลอยด้วยรูปแบบหุ้นกู้แปลงสภาพและให้เงินสนับสนุนทางตรงในโครงการ PPP ทำให้มีความคุ้มค่าทางการเงินของโครงการสูงสุด และสามารถวิเคราะห์หาเวลาหยุดที่เหมาะสมที่เกิดขึ้นในระยะเวลาดำเนินการของระยะสัมปทานโครงการได้

Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls, Farman Mia, Samer Dessouky

Data

The research aims to provide insight into the initiation event of Wrong-way Driving (WWD) on highways. The intense severity of a WWD accident is encouraging the authorities to install mitigation systems that will ensure safety for motorists on highways. The WWD events are mostly resulting of intoxicated driving, where the unconscious driver takes the wrong way to enter the highway and place other motorists into life-threatening danger. This research attempted to explore from basic knowledge of WWD occurrence to examine the origin and driving philosophy of intoxicated drivers from land-use impact and mathematical modeling point of views. To identify the …

Investigating The Efficacy Of Natural And Nature-Based Features To Increase The Service Life Of Coastal Roadways, Navid Jafari, Mohammad O. Hassan

Publications

Wetlands serve as essential natural barriers, protecting coastal regions against the increasing threats from hurricane-induced storm surges, rising sea levels, and changing weather patterns. Understanding their structural resilience is crucial, particularly the shear strength of the wetland soil-root matrix, which contributes significantly to stability under extreme weather events. However, evaluating this shear strength is challenging due to the complex nature of root systems and the varying amounts of live biomass and necromass at different soil depths. This study utilized a Large-scale Direct Shear Apparatus (LDSA) to address this gap by assessing the shear strength of root biomass in a horizontal …

Pipeline For Fast Digital Twin Development And Integration In Driving Simulation, Zhanqian Wu, Luying Zhang, Jaime Hernandez, Chase Leibowitz, Helen Loeb, Xiaoxia Dong, Erick Guerra, Rahul Mangharam

Kentucky Transportation Center Presentations

The use of digital mapping with precise GPS coordinates has allowed intelligent navigation, which is now ubiquitous in vehicles. The flat 2D imagery provided by Google maps was recently enhanced by the introduction of dynamic 3D representations of the Earth. Unity3D and Unreal Games Engines now offer Application Programming Interfaces that can be leveraged for geospatial applications. This technology, which offers visually compelling results for flight simulation and drone applications, opens new opportunities for driving simulation.This paper presents an innovative approach for developing a drivable Digital Twin of Philadelphia’s Roosevelt Boulevard to enhance urban planning and traffic management using advanced …

Development Of Innovative Flocculation Technologies For Agricultural Water Treatment, Noor Haleem

Electronic Theses and Dissertations

The development of innovative flocculation technologies is essential for addressing the challenges of agricultural water treatment. These technologies play a crucial role in removing contaminants such as suspended solids and nutrients, thereby ensuring safer water for irrigation and livestock consumption. By enhancing water quality and wastewater management, they contribute significantly to environmental sustainability and public health in agricultural communities. This comprehensive thesis extensively explores various dimensions of flocculation, with a focused effort on methodologies and resources aimed at strengthening sustainability and efficiency. A pivotal aspect of the research involves synthesizing cationic starch (CS), a flocculant derived from an underutilized resource, …

Lead Bioaccessibility And Commonly Measured Soil Characteristics (Detroit, Mi, Usa) – Phase 1, Sabrina R. Good, Allison R. Harris, Patrick Crouch, Conor T. Gowan, William D. Shuster, Shawn P. Mcelmurry

Open Data at Wayne State

Contaminated urban soil is one of the major contributors to child Pb exposure. To gain a better understanding of Pb risk in urban areas, composite samples were collected from 142 residential, privately owned, parcels in Detroit, Hamtramck, and Highland Park, Michigan, with approval from the property owners. The proximity of soil sampling and former smelter locations were also reported. Sample were collected from areas covered with turf grass. Four samples were collected, one from each cardinal direction (north, south, east, and west), 20 cm from an aluminum tent stake driven into the center of the sampling site. Soils were collected …

Ground Tire Rubber As A Sustainable Additive: Transforming Desert Sand Behavior, Nabil Ismael, Dalya Ismael, Asmaa Al-Ahmad

Engineering Technology Faculty Publications

Managing waste tires presents a significant challenge globally, particularly in regions experiencing high temperatures and shortage of landfill sites. This issue is affecting countries like Kuwait, where the abundance of waste tires is a major source of environmental and safety risks, particularly during the intensely hot summer months. This extreme heat has sparked numerous fires, leading to substantial air pollution due to thick black smoke. Given the limited disposal options, recycling waste tires and finding practical applications for ground tire rubber (GTR) is essential. To address the challenge, a comprehensive laboratory testing program was conducted, using locally produced rubber aggregates …

Digitalization Of Railway Transportation Through Ai-Powered Services: Digital Twin Trains, Salih Sarp, Murat Kuzlu, Vukica Jovanovic, Zekeriya Polat, Ozgur Guler

Engineering Technology Faculty Publications

Digitalization is a key concept that transformed the various industries through technologies like Internet of Things (IoT), Artificial Intelligence (AI), and Digital Twin (DT). Although innovations provided by the advancement of digitalization have paved the way for more efficient operations and products for transportation, the rail transportation sector struggles to keep up with the rest of the transportation industry, since trains are designed to last for decades, and the insufficient infrastructure investment leads to multiple railroad derailments across the globe. Therefore, the primary aim is to transform current railway systems into human-centric, adaptable, sustainable and future-proof networks, aligning with Industry …

Performance Reliability And Safety Index For Region Vii Highways, Aemal J. Khattak, Mm Shakiul Haque, Li Zhao

Mid-America Transportation Center: Final Reports and Technical Briefs

Roadway performance measures are used for operating, planning, and design purposes to improve services for road users. Simple statistics of the performance metrics such as measures of central tendency (e.g., mean, median) are often used for making operational and planning decisions. Even though such statistics are useful, they are, more than often, not comprehensive enough for making insightful operational and planning decisions. Consequently, performance reliability measures, which attempt to capture the day-to-day variability in performance, have the potential to benefit the areas of operation, planning, and design. Traffic data from Intelligent Transportation System facilitates the measurement of the reliability of …

Parametric Study Of The Effect Of Increased Magnetic Field Exposure On Microalgae Chlorella Vulgaris Growth And Bioactive Compound Production, Sharanabasaweshwara Asundi, Sanurag Rout, Simone Stephen, Sanghamitra Khandual, Sandipan Dutta, Sandeep Kumar

Mechanical & Aerospace Engineering Faculty Publications

This parametric study aimed to analyze the effects of increased magnetic field exposure (MFE) on the growth and production of the bioactive compounds of Chlorella (C.) vulgaris. With the intent of studying the effect of an increased MFE, the magnetic field typically experienced by life on Earth was amplified by an order of magnitude. In the increased-MFE environment, six treatments of C. vulgaris with two repetitions for each treatment were exposed to a magnetic field of 5 Gauss (500 µT) about each axis, which was generated in a state-of-the-art Helmholtz cage. The treatments and the control were characterized by the …

Development Of Regional Severity-Duration-Frequency (Sdf) Curves In Cambodia Using Standardized Precipitation Index (Spi), Sophanny Phan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Drought is one of the most destructive natural hazards that causes scarcity and lack of water in hydrological basins and impacts economic, social, and environmental system. This study aims to develop Severity-Duration-Frequency (SDF) curves to provide a comprehensive characterization of droughts in the Lower Mekong River Basin in Cambodia from 1985 to 2022. A Bayesian bias correction technique was applied to improve reanalysis rainfall data from ERA-5, resulting in enhanced accuracy which evidenced by an 11% increase in correlation coefficients (R), a 9% improvement in Nash-Sutcliff efficiency (NSE), and a 45% reduction in RMSE. The corrected rainfall data were then …

Modelling Of Competing Compensation And Excess Revenue Sharing In Project-Based Ppp Contracts: Machine Learning And Real Option Approaches, Lykeang Sorin

Chulalongkorn University Theses and Dissertations (Chula ETD)

Public Private Partnership (PPP) is now considered as a very common approach for the delivery of infrastructure projects, especially in developing countries in which fiscal budgets are limited. Most PPP projects are usually implemented as project-based, connecting existing infrastructure projects. However, transportation infrastructure projects as a whole work as a network of systems such as highway systems and mass rail transit (MRT) systems. Currently, the project-based approach to PPP implementation has created two unintended consequences: (1) fragmentation of the systems and (2) non-compete clause in PPP contracts preventing new development that may affect the future revenues of the concessionaire. The …

Evaluating Flood Hazards And Damage On Paddy Fields: A Case Study Of The Prek Thnot River Basin, Cambodia, Koem Sreang Ka

Chulalongkorn University Theses and Dissertations (Chula ETD)

Flooding is a pervasive natural hazard that leads to substantial damage, economic losses, and social disruption. In Cambodia, the Lower Mekong River basin is particularly prone to recurrent flooding due to seasonal monsoons. The Prek Thnot River, a Bassac and Mekong Rivers tributary, experiences heightened flood risks from heavy rainfall and fluctuating water levels. This study aims to assess flood inundation hazards during extreme events and evaluate paddy damage within the Prek Thnot River Basin (PTRB). By analyzing rainfall data from eight monitoring stations, we performed a frequency analysis. The LP3 distribution is identified as the most optimal distribution for …

A Study Of Characteristics, Origins And Fates Of Ultrafine Particles Over Taichung City, Taiwan, Kijpat Thavorn

Chulalongkorn University Theses and Dissertations (Chula ETD)

Ultrafine particles (UFPs, <0.1 μm) pose health risks and are challenging to model. This study investigated UFP dynamics in Taichung City, Taiwan, using April 2021 observations and GEOS-Chem-TOMAS simulations. Observations included particle number size distributions (analyzed from 11.8 to 593.5 nm), sulfuric acid, and meteorological data. The model used 15 size bins, testing five nucleation schemes (Base, Binary, Binary ion, Ternary, Ternary ion) for new particle formation (NPF) sensitivity.Base, Ternary, and Ternary ion schemes simulated sporadic nucleation bursts; Binary schemes showed minimal activity. Despite visual coincidence with sulfuric acid peaks, simulated nucleation rates exhibited weak linear correlation (Pearson R ≈ −0.04). The model consistently and substantially underestimated observed particle number concentrations across all modes (NMBs ranging from -8.5% to -90.9%; correlation coefficients (absolute values) from 0.06 to 0.21). Crucially, no clear classical "banana-shaped" NPF events were observed in observations or model simulations. These findings underscore the need for improved nucleation/growth parameterizations, higher-resolution meteorological data, and refined local emissions for urban aerosol modeling in subtropical environments.

Examining The Effectiveness Of Oiled Ballast Water Treatment Processes: Insights Into Hydrocarbon Oxidation Product Formation And Environmental Implications, Maxwell L. Harsha, Danielle E. Verna, Yanila Salas-Ortiz, Eduardo Osborn, Eduardo Turcios Valle, Aleksandar I. Goranov, Patrick G. Hatcher, Ana M. Aguilar-Islas, Patrick L. Tomco, David C. Podgorski

Chemistry & Biochemistry Faculty Publications

Ballast water released from ships into coastal environments has been identified as a mechanism that introduces contaminants of concern into coastal ecosystems. This study investigates the treatment processes employed at a ballast water treatment facility in Valdez, Alaska, that remove hydrocarbons from unsegregated ballast water. Specifically, the aim is to quantify and characterize hydrocarbons of emerging concern, known as dissolved hydrocarbon oxidation products (HOPs) and heavy metals (HMs), throughout the treatment process. Specialized analytical techniques were employed, such as non-volatile dissolved organic carbon analysis, fluorescence spectroscopy, Fourier transform-ion cyclotron resonance-mass spectrometry, and inductively coupled plasma triple quadrupole mass spectrometry. Results …

Estimation Of Mechanical Behavior Of Unsaturated Soils From A Soil-Water Characteristic Curve, Lucas Acheampong

Theses and Dissertations--Civil Engineering

The small-strain shear modulus and shear strength are two crucial mechanical behaviors used in the design of geotechnical structures and in the analyses of earth materials subjected to static and dynamic loadings. Traditional testing methods for these parameters are expensive and time-consuming. This research aimed to address these challenges by developing a model based on the inverse relationship between mechanical behavior of unsaturated soils and the soil-water characteristic curve (SWCC). The proposed model integrates a scaling function to align the SWCC with the mechanical property curve. Empirical relationships were established for the scaling function, specifically aligning with the air-entry value …

Thermal Alteration Of The Mineralogy Of Calcium Sulfoaluminate Cements: Implications For The Performance Of Rapid Repair Materials, Jillian Cavellier

Theses and Dissertations--Earth and Environmental Sciences

Calcium sulfoaluminate (CSA) was developed in part to lessen the environmental impact of cementitious materials compared to traditional Portland cements. CSA was first put into production in the 1970s and has been undergoing various performance testing to investigate its durability. Yet to be evaluated is CSA’s response to a rapid, high temperature event. In this study, X-ray diffraction, thermogravimetric analysis, Fourier transform infrared spectrometry and scanning electron microscope imaging were used to analyze alterations in the mineralogy due to such an event. As found in previous studies, after ~125°C, ettringite has been completely dehydrated. Ettringite decomposes into bassanite and calcium …

Visualizing And Automating Past, Real-Time, And Forecast Dynamic Hazard Maps For Shallow Colluvial Landslides In Eastern Kentucky, Nathaniel O'Leary

Theses and Dissertations--Earth and Environmental Sciences

Landslide hazards are a persistent threat to communities and infrastructure in Eastern Kentucky, where steep slopes, shallow colluvial soils, and variable hydrological conditions make slope failures frequent. This thesis presents an integrated approach to landslide hazard mapping (LHM) through the development of dynamic, spatiotemporal LHMs for shallow colluvial landslides. Two studies within this work investigate and refine the use of the Lu and Godt (2008) factor of safety (FS) equation to improve landslide predictions. The first study establishes a novel LHM workflow using Hydrus-1D to simulate soil moisture infiltration and fluctuations from precipitation and evapotranspiration (ET) data. This study also …

The Efficacy Of Wetland Treatment Systems Used To Treat Runoff Mixtures From Different Landscapes Across Kentucky, Emily Nottingham

Theses and Dissertations--Biosystems and Agricultural Engineering

The overarching goal was to improve our understanding of the cumulative effect of increased use and occurrence of commonly detected contaminants of potential concern (CPCs) on nitrogen (N) transformation processes in wetlands. The central hypothesis was that those various mixtures of nutrients and CPCs entering treatment wetlands impact N removal pathways. The first study assessed the current state of the literature on the implications to N removal in wetlands in the presence of pesticides and antibiotics. 181 primary studies were identified. Removal efficiencies for nitrate varied widely across the studies, with CPCs impacting microbial communities. A knowledge gap remains in …

Advanced Network And Graph Theoretical Approaches To Urban Traffic Control And Optimization, Peirong Wang

Civil Engineering Dissertations - Archive

This article-based dissertation consists of four complete manuscripts related to using proposed advanced network and graph theoretical approaches to optimize traffic control. Manuscript One addresses the integration of Connected Automated Vehicles (CAVs) and human-driven vehicles in heterogeneous traffic networks. Traditional models assume uniform driving behaviors, which are now inadequate. To address this, an integer programming formulation for a vehicle-oriented traffic dynamics model in space-time networks is introduced. This model distinguishes between individual vehicles and their unique driving behaviors, capturing diverse attributes of heterogeneous traffic flow. The manuscript demonstrates how the model can estimate the propagation of backward shockwaves for scheduled …

Experimental And Numerical Analyses Of Percussion Driven Earth Anchors Under Monotonic Pullout Tests, Mehran Azizian

Civil Engineering Dissertations - Archive

This dissertation provides a thorough investigation into the behavior and performance of Percussion-Driven Earth Anchors (PDEAs) during monotonic pullout tests. PDEAs are becoming more commonly utilized in geotechnical engineering because of their effectiveness in installation, ability to bear loads immediately, and minimal disruption to the environment. Despite their advantages, a detailed understanding of their pullout capacity and failure mechanisms remains limited.

The research encompasses both experimental and numerical analyses to bridge this knowledge gap. Experimental tests were conducted using Digital Image Correlation (DIC) techniques to obtain precise measurements of soil and anchor interaction and figure out the failure mechanism. Photogrammetry …

Enhancing Resilience Of Critical Infrastructural Systems Against Severe Weather Conditions, Miaomiao Li

Dissertations, Master's Theses and Master's Reports

As climate change intensifies natural hazards and extreme weather events, critical infrastructure systems like power networks and pavements are increasingly vulnerable to damage. While significant progress has been made in studying individual hazards for specific systems, there remains a need for comprehensive frameworks addressing parametrized fragility for key components in critical infrastructure and their application in system risk and resilience evaluation. This dissertation investigates the failure mechanisms and fragility of power systems and pavements under extreme conditions, including winter storms, hurricanes, heatwaves, and flooding. Using structural analysis, numerical modeling, and statistical methods, this work evaluates system vulnerabilities, develops fragility models, …

Predictive Modeling Of Healthcare Traffic Using Machine Learning: A Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md. Rafid Hassan, Nondon Lal Dey, Md. Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

Effective healthcare traffic management is critical for ensuring prompt medical services, particularly in emergencies where delays can have life-threatening consequences. This study conducts a comparative analysis of three popular machine learning models—Linear Regression, Decision Trees, and Random Forests—for predicting healthcare-related traffic volumes. Utilizing a comprehensive dataset from a metropolitan interstate traffic system, the models were evaluated based on key performance metrics, including Mean Squared Error (MSE), R² Score, and execution time. The findings demonstrate that the Random Forest model outperforms the others, offering superior predictive accuracy and efficiency. These insights are valuable for optimizing traffic management in healthcare, ultimately contributing …