Engineering Commons^™

Effect Of Parametric Design On The Functional Efficiency Of Administrative Buildings Case Study, ِAya Ibrahim, Mohammed Medhat Dorra, Tarek Ibrahim Nasreldin

Journal of Engineering Research

parametric design was the entrance of‏ the designer to inspire from nature to‏ achieve creativity and innovation in the form of the product, It provides a modern tool that‏ enabled the designer to deal with the forms, especially the complex one, and enhancing the designer's‏ ability to creativity and innovation.‏ As a result, a new design style known‏ as parametricism has been emerged. It is a style‏ characterized by characteristics through the complexity and dynamics of its‏ curved lines, for its various components and elements.‏The aim of current study to know that to what extent the use of the parametricism …

A Methodology For Evaluating And Comparing Unmanned Inspection Platforms In Underground And Indoor Environments, Sydney Shockley

Graduate Theses & Non-Theses

This report summarizes a research project focused on development of a methodology for evaluating the performance of various unmanned aerial vehicles (UAVs, commonly referred to as drones) and robotic platforms in GPS-denied environments, highlighting a clear stratification based on technological sophistication and design intent. A series of flight trials were designed and implemented in various environments including indoor spaces with various geometries and obstacles, and an underground mine. These trials examined signal range from the unmanned platform to the controller, the ability to navigate through confined spaces and obstacles, the overall ease-of-use and responsiveness of controls, as well as specialized …

Designing Behavior-Aware Ai Systems To Influence Human Decision-Making, Guanghui Yu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Artificial intelligence (AI) demonstrates superiority over humans in many applications, such as image processing, speech recognition, and decision-making. AI systems are more efficient and accurate in information processing and computation, making them invaluable in assisting human decision-making across domains like healthcare, finance, and academia. Despite these strengths, real-world applications often involve complex, context-specific judgments and a deep understanding of human values, which current AI systems might not fully grasp. In domains requiring creativity and critical thinking, AI systems heavily rely on existing human knowledge. Humans, however, possess unique strengths such as intuition, which aids decision-making in uncertain or novel situations, …

Demand Side Management Through Integrated Water Distribution Systems And Smart Irrigation Controllers, Nathan T. Lunstad

Theses and Dissertations

The innovation of electrical utilities in creating smart electrical grids has superseded that of water utilities in analogous efforts. While many water utilities are now using smart water technologies, they lack the virtual command center that allows for two-way communication for more effective forecasting, load balancing, preventive methods, emergency and master planning, and level of service delivery while ensuring environmental justice and enhancing the responsible use of resources. In this dissertation, I propose the idea of the Integrated Water Distribution System (IWDS) to overcome this challenge. IWDS coordinates management of water supply and demand in a way that benefits both …

Exploring Co-Manipulation Via A New Decomposition Of Interaction Force And An Exploration Of Signal Space In Multi-Agent Motion Primitives, Kody Blaine Shaw

Theses and Dissertations

Co-manipulation is when two or more people work together to move an object. In this work, we consider the physical co-manipulation of objects that are large and heavy enough that they are more easily handled by two or more participants. We currently lack a fundamental understanding of how people perform such tasks together, both the basic signals they use to communicate and how those signals are mapped to actions and behaviors. This work builds upon the existing body of knowledge to improve our understanding of physical co-manipulation. Specifically, interaction forces are often considered a key method for information transfer in …

Analysis Of Water Usage And Greenhouse Gas Emissions As Transition Fuel From Coal To Natural Gas In San Juan County, New Mexico, Tahereh Kookhaei

Civil Engineering ETDs

Abstract

Coal is a major contributor to various environmental issues, making the transition to alternative energy sources essential for reducing environmental impacts and combating climate change. San Juan County in New Mexico has historically depended on coal-fired power plants for producing electricity. However, due to environmental and economic pressures, there is a move to reassess energy strategies. This study explores the transition from coal to natural gas (NG) in San Juan County, with a focus on assessing changes in water usage and emissions (CO₂, NO_x, and SO₂) at the Four Corners (coal-fired) and Afton …

Layered Naba2m3q3(Q2) (M = Cu Or Ag; Q = S Or Se) Chalcogenides And Local Ordering In Their Mixed-Anion Compositions, Ayat Tassanov, Huiju Lee, Yi Xia, James M. Hodges

Mechanical and Materials Engineering Faculty Publications and Presentations

Three new NaBa2M3Q3(Q2) (M = Ag or Cu; Q = S or Se) chalcogenides were prepared by using solid-state methods and structurally characterized by using single-crystal X-ray diffraction. NaBa2Ag3Se3(Se2) and NaBa2Cu3Se3(Se2) crystallize in monoclinic space group C2/m and have a two-dimensional structure composed of edge-sharing MSe4/4 tetrahedra separated by Na+ and Ba2+ cations, along with (Se2)2– dimers at the center of the spacings between [M3Se3]3– slabs. NaBa2Ag3S3(S2) adopts a related structure with space group C2/m but has additional, crystallographically distinct Ag atoms in the [Ag3S3]3– layer that are linearly coordinated. NaBa2Ag3Se3(Se2) and NaBa2Ag3S3(S2) have indirect band gaps measured to be …

Mechanochemical Correlations And Spatial Distribution Of Components In Plant Cell Walls And Extracellular Matrices, Huiyong Li

McKelvey School of Engineering Graduate Student Theses & Dissertations

Plant cell walls and extracellular matrices (ECMs) are important to cellular activities in plant/animal organs. The organization of plant cell wall/ECM components (e.g., local composition, arrangement, and ultrastructure of cell wall/ECM polymers) plays a role in determining their local mechanical properties. As a result, the natural processes of cell and tissue growth, development, and function rely on the control of cell wall/ECM composition, arrangement, and ultrastructure to manipulate local mechanical properties. However, directly correlating cell wall/ECM composition, organization, and mechanics has been challenging. To overcome this barrier, one goal of this thesis is to develop probing methodologies at a sub-cellular …

Perovskites Informatics: Studying The Impact Of Thicknesses, Doping, And Defects On The Perovskite Solar Cell Efficiency Using A Machine Learning Algorithm, Zahraa Ismail, Eman Sawires, Fathy Amer, Sameh O. Abdellatif

Electrical Engineering

No abstract provided.

Effect Of Superabsorbent Polymer On 3d Printing Characteristics As Rheology-Modified Agent, Yu Cun Gu, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study aims to investigate the effects of two superabsorbent polymer (SAP) types, S1 and S2 (with continual absorption and rapid desorption, respectively) as rheology-modified agent on 3D printing characteristics. Three base mixtures were selected with different thixotropic behaviors (i.e., mixtures with high re-flocculation (τfloc), high structuration rate (Athix), and both low τfloc and Athix, respectively). The initial mini-slump flow of 190±10 mm was secured by adjusting superplasticizer (SP) or water demand (increasing w/b by either 0.025 or 0.05). An extrudable region was determined within the range of τfloc (200-890 Pa) and Athix (15-60 Pa/min). The use of the S2 …

Breaking The Causality Limit For Broadband Acoustic Absorption Using A Noncausal Active Absorber, Kangkang Wang, Sipei Zhao, Chen Shen, Haishan Zou, Jing Lu, Andrea Alu

Henry M. Rowan College of Engineering Departmental Research

The principle of causality imposes a constraint between the thickness and bandwidth of absorbers. This trade-off applies to any linear, time-invariant, passive system, limiting the development of broadband-absorbing materials that demand a thin profile for sound, light, and radio waves. Here, we demonstrate a strategy to overcome this constraint in acoustics using a noncausal active absorber whose response is controlled over time. A theoretical framework is established, which sets a relation among minimum thickness, bandwidth, and a priori information about the incident signal, representing a relaxed physical bound for noncausal absorbers. We design an absorber based on this principle and …

Coupled Effect Of Fiber Type And Reinforcement Ratio On Flexural Behavior Of Reinforced Beams Cast With Super Workable Concrete, Jingjie Wei, Le Teng, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study investigated the effect of 5-dimensional hooked-end fiber (5D) on the structural performance of beams and compared its efficiency with other fibers in strengthening structural performance of reinforced concrete (RC) beams with an increase in reinforcement ratio (ρ). The potential of using fibers to reduce the longitudinal rebar based on various design criteria was investigated. The fibers included 5D, a combination of 80 % 3-dimensional hooked-end and 20 % short steel fibers (STST), and two combinations of macro synthetic fibers A and B (MSF). Experimental results indicated that, compared to non-fibrous beams, using 5D was the most efficient in …

Tribology Of Mos2 Thin Films Stabilized By A Chromium Underlayer And Max Phase, Nihal Ahmed

Theses and Dissertations

MoS2 is a popular solid lubricant with limited application at room temperature due to its’ sensitivity to atmospheric oxygen and humidity. This thesis focuses on the stabilization of molybdenum disulfide (MoS2) coatings on aluminum substrates to enhance their tribological performance at room temperature. MoS2 exhibits exceptional lubricating properties in vacuum conditions, but its reactivity with atmospheric oxygen leads to the formation of abrasive molybdenum trioxide (MoO3), restricting its effectiveness in ambient environments. This thesis investigates the effects of a Chromium underlayer and the incorporation of MAX phase (Ti3SiC2) on the tribological performance and chemical stability of MoS2 solid lubricant. Physical …

Analyzing The Usability, Performance, And Cost-Efficiency Of Deploying Ml Models On Various Cloud Computing Platforms, Hongyu Wang

Masters Theses (Archived)

With the enhanced computing capabilities and accessibility to cloud resources, major cloud computing providers such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure offer Machine Learning (ML) and AI services. Their primary purpose is to provide efficiency, scalability, and adaptability in modern software development and IT operations while reducing overall costs and operational complexity. However, prospective customers of the services often question which ML-AI service will best suit their organizational and business needs. This study compares and analyzes the usability, performance, and cost-efficiency of deploying Machine Learning (ML) models across three cloud platforms: GCP, AWS, and …

A Hybrid Model For Assessing Safety Implementation And Project Success In The Construction Industry, Aya Hassan, Ali Hassan

Civil Engineering

Construction projects are prone to accidents and injuries, necessitating a focus on implementing safety programs. However, the implementation of such programs is influenced by various factors. Developing countries often have poor safety performance in their building sectors, with limited research in this area. This study aimed to identify essential safety program activities (SPAs) specific to the building sector. Through a literature review and survey, 25 SPAs were identified and validated via a pilot survey involving building sector experts. A questionnaire survey was conducted with 105 participants from the construction industry and academia. They were then categorized into four interconnected measurements …

Synergizing Bim And Value Engineering In The Construction Of Residential Projects: A Novel Integration Framework, Ahmed Gouda Mohamed, Mohamed Ahmed Nabawy Dr

Civil Engineering

This study explores integrating Building Information Modeling (BIM) and Value Engineering (VE) to enhance cost management and project value optimization in residential construction. The primary aim is to develop a comprehensive framework that synergizes 5th Dimension Building Information Modeling (5D BIM) with VE processes to identify and evaluate the most cost-effective construction alternatives. Employing a mixed-methods approach, this research includes an extensive review of existing practices, an integrated BIM-VE framework proposal, and the application of 5D BIM principles to improve visualization, cost estimation, and scheduling. The findings reveal that integrating BIM and VE significantly enhances project efficiency, quality, and cost-effectiveness. …

Simulation Of Calcium Carbonate Nucleation Processes In Confined C-S-H Nanopores With Different Calcium-Silicon Ratios, Jiao Yu, Kerui Wang, Peixuan Yang, Mengmeng Li, Biqin Dong, Zuquan Jin, Shuxian Hong, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Carbonation curing technology plays an important role in carbon cycling and improving the properties of cement-based materials, while the nucleation and growth mechanism of calcium carbonate (CaCO₃) is still unclear. Based on molecular dynamics simulation, the formation process and nucleation mechanism of CaCO₃ in confined C-S-H nanopores with different calcium-silicon ratios were studied. The results show that the clustering behavior of CaCO₃ in C-S-H nanopores filled with saturated CaCO₃ solution can be divided into three phases, rapid agglomeration stage, slow cluster stage, and stable cluster stage. The aggregation is mainly dependent on ionic bonding for …

An Exploration Of Dimensionality Reduction Of Dynamics On Lie Groups Via Structure-Aware Canonical Correlation Analysis, Wooyoung Chung

Master's Theses

Incorporating prior knowledge into a data-driven modeling problem can drastically improve performance, reliability, and generalization outside of the training sample. The stronger the structural properties, the more effective these improvements become. Manifolds are a powerful nonlinear generalization of Euclidean space for modeling finite dimensions. When additionally assuming that the manifold carries (Lie) group structure, this imposes a drastically stricter global constraint. The range of their applications is very wide and includes the important case of robotic tasks. We apply this idea to Canonical Correlation Analysis (CCA). In traditional CCA one constructs a hierarchical sequence of maximal correlations of up to …

Synthetic Data Generation For Accurate, Fair, And Private Recommender Systems, Derek B. Lilienthal

Master's Theses

A notorious challenge for recommender systems on online platforms is to accurately and fairly recommend items that align with users’ preferences while retaining user privacy. These systems often rely on historical data that is partially labeled and includes incomplete user information, leading to the over-representation of majority groups and disproportionately favoring popular items. Substituting user data with synthetic data can address these concerns, but accurately replicating real-world datasets has been a challenging problem. Recent advancements in generative AI have demonstrated the impressive capabilities of diffusion models in generating realistic data across several domains. In this work, we introduce two variations …

Reinforcement Learning Based Planning And Control For Robotic Source Seeking Inspired By Fruit Flies, Gauravkumar Koradiya

Master's Theses

In the exploration of mobile sensing agents such as robots equipped with sensors, these agents have the potential to measure unknown scalar fields, ranging from chemical concentrations to temperature fluctuations. One of the primary interests is the robots’ ability to gravitate towards the peaks or troughs of these fields, a phenomenon termed as “source seeking”. This behavior is invaluable in practical scenarios, like detecting chemical leaks or locating survivors after catastrophes. However, the challenge becomes significantly more pronounced when operating in turbulent flow fields, where the erratic nature of odorant plumes makes predictions and simulations highly unreliable. Interestingly, fruit flies …

Controllable Physics-Informed Latent Space For Acoustic Wave Manipulation, Tristan Shah

Master's Theses

Partial Differential Equations (PDEs) are foundational descriptive tools in scientific and engineering disciplines, enabling the exploration of phenomena from material design to climate dynamics and the propagation of pandemics and wildfires. Establishing control of PDEs, especially when the underlying phenomena are only partially observable, holds great potential for fostering technological innovations. This ambition faces considerable obstacles, as a robust sample-based solution remains elusive. Addressing this challenge, this thesis introduces a framework leveraging physics-informed machine learning (ML) to enable control of PDEs. Central to this framework is an agent, equipped with sensors to perceive its environment, that generates a low-dimensional physics-informed …

Extraction, Preparation, And Characterization Of Alginate Biopolymer Films From Natural Seaweed, David Ly

Master's Theses

This study evaluates the use of naturally harvested seaweed from the Monterey Bay to produce a biodegradable film for food packaging applications. Two different film-forming methods were evaluated: solution casting and compression molding. The solution casting method using an alginate biopolymer produced the most consistent results. The seaweed biopolymer was extracted from the seaweed biomass using a modified method, resulting in a yield of 11-25 %. The highest yield was observed when using the lowest biomass concentration of 10 wt. %. The extracted alginate was then cast into films at different levels of glycerol plasticization (15-35 wt.%). The addition of …

Domain Specific Aspect Extraction For Product Design, Divyam Sobti

Master's Theses

As technology advances, computers become increasingly proficient at interpreting and translating human language into machine-understandable text. With the help of algorithms in natural language processing (NLP), machines can now translate textual data. These algorithms help identify and extract specific text components known as aspects. The aspects represent specific attributes or topics within textual data. For instance, an Amazon review states,“ This phone has good battery life but poor camera quality,” and attributes like ‘battery life’ and ‘camera quality’ represent aspects in the text. Aspect extraction is a pivotal process involving identifying and isolating key features or topics within text. This …

Tribological Analysis Of Heat Treatments On Medical Grade Cobalt Chromium Molybdenum Alloys, Samuel Edis Bowden

Theses and Dissertations

Cobalt chromium molybdenum (CoCrMo) has many material properties that make it desirable as a medical hip implant. Due to the range of heat treatments available and the resulting material properties that are present in medical device manufacturing using CoCrMo, many implants are not able to withstand both the chemical and physical wear necessary as a hip replacement. This research looks to examine various heat treatments and their resulting properties to find a desirable heat treatment for CoCrMo in hip implant bearing surfaces. This study was accomplished by using five distinct variations of heat treatment on forged CoCrMo alloy that would …

Exploring The Link Between Travel Behavior And Mental Health, Emily Kae Youngs

Theses and Dissertations

This study explores the critical link between travel behavior and mental health, focusing on young adults who have expressed suicidal ideation. By analyzing how daily activities and movement patterns impact mental well being, the research aims to explore travel related mental health approaches for individuals. The importance of this work lies in its potential to improve the quality of life for individuals by informing more personalized and effective mental health strategies. Through comprehensive data analysis and statistical modeling, the research aims to uncover insights into how travel behavior influences motivation levels and mental well-being across different neurological and physiological groups. …

From Saving To Budgeting: Unpacking The Impact Of A Culturally Relevant Financial Literacy Summer Program- $Mart Money, Renee S. Gibert, Imani Adams, Sungwoo Kang

Lyles School of Civil Engineering Faculty Publications

Culturally Relevant Pedagogy (CRP) is an educational framework that illustrates how to foster educational excellence through a focus on cultural competence, critical consciousness, and academic success, which aims to empower students by making education more applicable and responsive to their lived experiences (Ladson-Billings, Citation1995). This study elucidates the efficacy of CRP within financial literacy education, as implemented in a STEAM (Science, Technology, Engineering, Arts, and Mathematics) summer enrichment program. Our objective is to explore the extent to which CRP influences student perceptions of their personal finances through an understanding of financial literacy. Employing a qualitative methods approach, we reviewed transcripts, …

Central Tracking And Billing System For Insurance Bills, Kehinde Alabi

Harrisburg University Dissertations and Theses

In this article, we introduce a new centralized billing platform designed for insurance bills including auto insurance, health insurance, home insurance, life insurance, etc. This system consolidates all bills for individual users eliminating the need for them to manage and pay bills separately. Users stand to benefit from significant time and effort savings each month, reducing the likelihood of missed payments and associated late fees. Insurance billing organizations and banks can also capitalize on timely payments and reduced physical mailings, leading to cost savings and environmental benefits. The proposed system offers users the ability to track and review their historical …

Customized Agile Project Management For Scientific Computing: Addressing Challenges And Developing A Framework, Yashesh Sakharikar

Harrisburg University Dissertations and Theses

This paper presents a novel Agile framework tailored for scientific computing projects. Identifying gaps in existing methodologies, the research emphasizes the need for adaptable solutions in this dynamic field. The proposed framework, characterized by flexibility and stakeholder engagement, addresses specific challenges posed by scientific computing endeavors. Through a comprehensive literature review, the paper highlights the limitations of generic Agile practices and positions the proposed framework as a valuable contribution. The study motivates further exploration into specialized Agile approaches, promising enhanced efficiency and success in scientific computing projects.

Balancing Results From Ai-Based Geostatistics Versus Fuzzy Inference By Game Theory Bargaining To Improve A Groundwater Monitoring Network, Masoumeh Hashemi, Richard C. Peralta, Matt Yost

Plants, Soils and Climate Student Research

An artificial intelligence-based geostatistical optimization algorithm was developed to upgrade a test Iranian aquifer's existing groundwater monitoring network. For that aquifer, a preliminary study revealed that a Multi-Layer Perceptron Artificial Neural Network (MLP-ANN) more accurately determined temporally average water table elevations than geostatistical kriging, spline, and inverse distance weighting. Because kriging is usually used in that area for water table estimation, the developed algorithm used MLP-ANN to guide kriging, and Genetic Algorithm (GA) to determine locations for new monitoring well location(s). For possible annual fiscal budgets allowing 1-12 new wells, 12 sets of optimal new well locations are reported. Each …

Purpose, Performance, And Process Influence On Airline Pilot Trust In Automation Technology: A Quantitative Study, Thomas Robert Meyer

Doctoral Dissertations and Projects

The purpose of this quantitative, descriptive survey study was to determine if purpose, performance, and process influence airline pilot trust in automation technology. The role of a tool is an extension of human capabilities. Initially limited to mechanical extensions of arms and legs, tools are more sophisticated and extend into mental abilities. Quantum leaps in computer and automation technology mitigate repetitive or complex calculations using developed cognitive processes. Through the Trust in Automation theoretical lens, this study used the Likert-based System Trustworthiness Scale offered online to approximately 3,000 airline pilots using simple random sampling methods comprising voluntary submissions. Data was …