Other Engineering Commons^™

Automating Lackenby's Method: The Design Of A Set Of Scripts To Execute Lackenby's Method With Mcnaull's Expansion In Rhinoceros 3d, Mara E. Kramer

LSU New Orleans Theses and Dissertations

In vessel design, modifying the design of a preexisting hull is a common practice to save time and labor compared to designing a hull from scratch. This can be achieved either by manually adjusting the hull model in a 3D modeling software or by systematically adjusting certain vessel parameters using an algebraic method. However, these methods are time-intensive and do not fully utilize the capabilities of modern software. To address this issue, this paper presents a set of Rhinoscript and Python scripts that automate part of the hull modification process using Lackenby’s method with McNaull’s expansion. The developed code utilizes …

Mathematical Description Of A Bleach Impregnation Reservoir, Bekobod Ibragimov

Chemical Technology, Control and Management

This article discusses the issues of constructing a mathematical model of the technological process of bleaching textile materials in an impregnating reservoir using the heat balance equation, on the basis of which a qualitative analysis of the dynamic properties of an object has been carried out in order to create highly efficient control systems with the use of energy-saving technologies. While constructing a mathematical model characterizing the established and non-established modes of the control object (impregnating reservoir) used changes in heat flow and mass velocity of the incoming tissue. An algorithm for constructing a mathematical model of the process of …

Energy Efficient Integrated Mems Neural Network For Simultaneous Sensing And Computing, Hamed Nikfarjam, Mohammad Megdadi, Mohammad Okour, Siavash Pourkamali, F. M. Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

Biological systems seamlessly combine multiple functions in lightweight and energy-efficient structures. Such capability in synthetic structures would be desirable in numerous engineering applications such as aerospace, robotics and wearable devices. Here we report an integrated silicon-based structure configured to sense, perform different classification algorithms, and produce an action signal within the same physical layer. The algorithms are coded in the mechanical responses of the sensing elements of multiple coupled micro-electromechanical systems (MEMS), simultaneously capturing acceleration measurements to produce an actuated signal. This all-in-one structure operates with zero circuitry and low power consumption. As a demonstration, we designed and fabricated a …

Advanced Biomedical Laboratory (Abl) Synergy With Communication, Robotics, And Iot, Razvan Cristian Voicu, Steven Steele, Jorge Diaz Rodriguez, Yusun Chang, Chan Ham

Symposium of Student Scholars

This paper proposes a framework for integrating IoT and automation in a biomedical laboratory to improve safety, optimize processes, and enhance students' learning experience. The framework incorporates a centralized control unit and distributed subsystems to control equipment and machinery and includes autonomous robotics and intelligent monitoring systems. The paper presents the results of undergraduate students' work on automating various biomedical processes, including developing an Intelligent Autonomous Monitoring (IAM) device. IAM utilizes machine learning algorithms to identify outliers in processes and safety hazards. Moreover, IAM autonomously detects and localizes biomedical tools and equipment. Results show the feasibility of delivering real-time results …

Ransomware Attacks In The Software Supply Chain: A Review Of Attack Vectors, Defenses And Gaps, Corey Brookins, Ava Norouzinia, Asia Shavers, Miranda Dominguez, Marie Nassif, Kenneth Burke, Shamar Lake

Symposium of Student Scholars

The proliferation of cyberattacks in the software supply chain domain is a pressing concern making them a formidable threat to software security and compromising its integrity and credibility which needs to be critically acknowledged and investigated. The lack of familiarity with the design and pattern of emerging attacks has contributed to the occurrence of several vulnerable software supply chain attacks in the preceding years. This project aims to conduct a comprehensive study of the various tactics and techniques employed by cybercriminals in this domain along with a focus on exploring the influence of software supply chain stakeholders’ traits, limitations, and …

Optimization Of Material Flow Of Woodshop Through Layout Redesign, Madison Wegner

Honors Theses

A local high-design outdoor site furniture company – Landscape Forms – worked with the senior design team to create alternative layouts for the woodshop within the company. This senior project will offer three categories of alternative layouts: short, mid, and long term. By offering multiple time frame layouts, Landscape Forms will be able to implement changes based on time frame and need. A project plan indicates all tasks required to meet these objectives as well as a timeline for accomplishing this plan. Research including worker movement diagrams, stakeholder interviews incorporating woodshop employees and engineers, a man and machine utilization study, …

Air Pre-Heat System Optimization For Flash Dryers, Sophia Louden

Honors Theses

Primient, a leading producer of food and industrial ingredients made from plant-based, renewable sources is the industrial sponsor for this project. The company is currently using Plate & Frame Heat exchangers to heat up a 40% by-weight glycol and water solution that is then used to preheat the incoming ambient air. Glycol is being added to reduce the risks of freezing in the system during the winter season. It is important to highlight that this fact affects the heat transfer properties of the liquid overall. Since air heating is a highly energy-demanding process, an outlet stream of hot water produced …

Reconfigurable Metatiles With Circular Maze-Like Space-Coiling-Based Acoustic Metastructure For Low-To-Mid Frequency Sound Attenuation, Sanjay Kumar, Heow Pueh Lee

Durham School of Architectural Engineering and Construction: Faculty Publications

This study presents a compact, lightweight, and reconfigurable acoustic metatile for sound mitigation applications. The metatile prototype is designed based on a circular maze-like acoustic metastructure, which utilizes a space-coiling technique for enhanced acoustic performance in low-to-mid frequencies. The proposed labyrinthine acoustic metadisk structure comprises a central hollow front face sheet and two coiling-up backing cavities. Experimental results show that the metadisk has high absorption peaks of 0.81 and 0.75 at 574 and 1436 Hz, respectively, and exhibits high sound transmission loss (STL) values (≥25 dB) in separate wide frequency bands between 100–580 Hz and 820–1600 Hz. Based on the …

Structural Testing Of Concrete Walls On-Edge With Combined Axial And Out-Of-Plane Loading, Salam Al-Rubaye, Marc Maguire

Durham School of Architectural Engineering and Construction: Faculty Publications

Full-scale testing of structural components can be time consuming and difficult. The design of full- scale slender concrete walls is highly influenced and controlled by second-order and out-of-plane bending loads. Previous experiments on out-plane bending of slender walls and insulated walls have been performed with bending in the direction of gravity (with or against). Additionally, most of the research considering out-of-plane bending does not include an axial load and suffers from inaccurate results due to not simulating the actual loading and constraining conditions or safety issues. This testing method was developed expressly for the determination of slender wall behavior in …

Relationships Between Residence Characteristics And Nursing Home Compare Database Quality Measures, Brian J. Puckett, Erica E. Ryherd, Natalie Manley, Carey S. Ryan

Durham School of Architectural Engineering and Construction: Faculty Publications

Objective: This study evaluated relationships between physical characteristics of nursing home residences and quality-of-care measures.

Design: This was a cross-sectional ecologic study. The dependent variables were 5 Centers for Medicare & Medicaid Services (CMS) Nursing Home Compare database long-stay quality measures (QMs) during 2019: percentage of residents who displayed depressive symptoms, percentage of residents who were physically restrained, percentage of residents who experienced 1 or more falls resulting in injury, percentage of residents who received antipsychotic medication, and percentage of residents who received anti-anxiety medication. The independent variables were 4 residence characteristics: ownership type, size, occupancy, and region …

Law Informs Code: A Legal Informatics Approach To Aligning Artificial Intelligence With Humans, John J. Nay

Northwestern Journal of Technology and Intellectual Property

Artificial Intelligence (AI) capabilities are rapidly advancing. Highly capable AI could cause radically different futures depending on how it is developed and deployed. We are unable to specify human goals and societal values in a way that reliably directs AI behavior. Specifying the desirability (value) of AI taking a particular action in a particular state of the world is unwieldy beyond a very limited set of state-action-values. The purpose of machine learning is to train on a subset of states and have the resulting agent generalize an ability to choose high value actions in unencountered circumstances. Inevitably, the function ascribing …

Defining Safe Training Datasets For Machine Learning Models Using Ontologies, Lynn C. Vonder Haar

Doctoral Dissertations and Master's Theses

Machine Learning (ML) models have been gaining popularity in recent years in a wide variety of domains, including safety-critical domains. While ML models have shown high accuracy in their predictions, they are still considered black boxes, meaning that developers and users do not know how the models make their decisions. While this is simply a nuisance in some domains, in safetycritical domains, this makes ML models difficult to trust. To fully utilize ML models in safetycritical domains, there needs to be a method to improve trust in their safety and accuracy without human experts checking each decision. This research proposes …

Analysis And Design Of Lateral Framing Systems For Multi-Story Steel Buildings, Husam Al Dughaishi, Jawad Al Lawati, Moad Alosta, Shaker Mahmood, Mohamed Faisal Al-Kazee, Nur Izzi Md Yusoff, Abdalrhman Milad

Durham School of Architectural Engineering and Construction: Faculty Publications

This study focused on identifying the most appropriate structural system for multi-story buildings and analyzing its response to lateral loads. The study analyzed and compared the different structural systems to determine the most suitable option. The study aims to utilize three lateral framing systems (moment, braced, and diagrid) in order to investigate which system needs the least amount of steel to meet the design requirements. Thus, in order to determine the estimated steel savings of this system as compared to the moment and braced frames, the four-story and eight-story buildings that are 96' × 96' in the plane and utilize …

A Simulation Study Of Surfactant/Foam Processes In Shallow Subsurface Remediation: Using Foams For Mobility Control Vs. Blockage, Betty Cepeda

LSU Master's Theses

Many shallow ex-situ and in-situ remediation treatments come from the contamination of underground soils and groundwater sources by organic hydrocarbon components called non-aqueous phase liquids (NAPLs). These contaminants, if leaking, can impose long-term threats causing environmental and health concerns. One of the versatile in-situ remediation techniques is using surfactant/foam processes that can overcome subsurface heterogeneity and improve NAPL removal.

This simulation study investigates surfactant/foam processes, especially focusing on two different roles of foams during the treatment: foams for “mobility control” vs. foams for “blocking”. The first is based on the actual operations carried out in the pilot-test site for 23 …

Fire Life Safety Design Of Technology Office, Jared Ellis

Fire Protection Engineering: Culminating Experience Project Reports

The subject building is an approximately 180,000 SF technology office; the location and some details are omitted for privacy of the project and client. It is a 3-story heavy timber frame (Type IIIA) over 1 level of concrete basement stepped into a hillside.

The building is compliant with the prescriptive building code for egress, fire alarm, and fire sprinkler systems. A NFPA 72 compliant fire detection, notification and communication system is provided. The building is fully sprinklered with a system that is hydraulically designed per NFPA 13, 2016 Section 11.2.3 Water Demand Requirements – Hydraulic Calculation Methods. Water supply is …

Approach To Problem Solving And Use Of Intuition By Engineering Technology Students, Meher R. Taleyarkhan, Anne M. Lucietto, Natalie L. F. Hobson, Therese M. Azevedo

Journal of Global Education and Research

Engineering technology students often forgo a methodical approach of solving or answering questions on assignments or exams in favor of an intuition-based approach, emphasizing educated guessing (Broberg et al., 2008). Faculty observations have noted these student solutions often provide explanations, usually sans calculations, to support answers the students believe to be reasonable when in reality deviated from the correct answer. An extensive study was developed to assess several distinctions between student intuition and use of cognition in problem solving, as related to a generalized student population. The study was comprised of a survey and interview. The survey utilized two instruments, …

Gömböc The Great, Indigo M. Strickert, Lori E. Bradford

The Transdisciplinary STEAM+ Journal

A sonnet written about the mathematics behind the self-righting shape of some tortoise shells.

Creatively Making Through Failure, Spencer W. Ashnault

CAFE Symposium 2023

This work of art is a 3D Map of Rome, Italy that uses laser cutting and 3D printing techniques to create. The project and technique is explained by the artist and author Spencer Ashnault.

Riverine Commons And Institute Framework Plan, Community Design Center

Community Design Center Project Reports

The nonprofit Watershed Conservation Resource Center is restoring a 98-acre riparian wetland landscape near downtown Fayetteville as a River Commons and Institute. The Framework Plan combines watershed restoration with architecture and urban design to house a river education center, a visitor interpretive center, walking trails, passive recreation facilities including bird watching and canoeing, and outdoor heritage exhibitions. The Plan operates at the intersection of anthropology, ecology, and design in developing a lasting and robust riverine knowledge fund across space and time.

The Effect Of Foam Configuration On The Cushion Performance, Xiaojing Liu, Min Degruson

Journal of Applied Packaging Research

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This research exhibits the cushion design process for protecting a product during the distribution environment and examines the effect of the final design by ISTA 1A drop tests. Currently, few research on the principles of cushion design in protective packaging has been undertaken. Rare research on cushion configuration and its performance. The study started with proposed several cushions distribute layouts - face pad, edge pad, and corner pad, along one orientation. Samples were tested, analyzed, and compared by static compress and dynamic drop tests. After manufacturing and engineering consideration were involved, two improved cushion configuration designs were applied to …

A Framework To Predict Variability Characteristics In Building Load Profiles, Sam Moayedi, Andrew Parker, Kevin James, Xiaoyue Cheng, Michael Hempel, Hamid Sharif, Mahmoud A. Alahmad

Durham School of Architectural Engineering and Construction: Faculty Publications

The expansion of Advanced Metering Infrastructure (AMI) has provided building operators and researchers detailed information on building energy consumption. The majority of AMI systems, however, record data at relatively low resolutions of 15, 30, or 60 minutes, due to cost, storage and bandwidth limitations. Emerging applications in power flow analysis, Quasi-Static Time-Series Simulation (QSTS), smart grid integration and load matching, however, require data at higher resolutions. Short-term energy demand can deviate significantly from long-term averages, with an unknown magnitude and frequency when only low-resolution load profile data is available. This paper presents a novel data-driven approach to predict characteristics of …

Structural Integrity Analysis Of The Rig Mast Following Repair Of Two Diagonal Braces In The Upper Mast Section, Rendhatya Padmodwiputra, Johny Wahyuadi Soedarsono, Mirza Mahendra, Bambang Eka Satria, Chandra Arif, Eka Juni Suarthana

Journal of Materials Exploration and Findings

During a move to the new drilling location, two braces of the upper mast section on a 550 HP oil and gas rig was damaged. When damage is discovered, the rig operating company should conduct a risk analysis related to the damage using the standard used to determine rejection criteria and follow-up repairs. The strength of the rig mast is calculated using Finite Element Analysis (FEA) with initial conditions (before damage occurs) where all braces are installed and extreme conditions where neither brace is repaired. The calculation results are then used to assess the risk of reducing the rig mast …

Integration Of Real-Time Semantic Building Map Updating With Adaptive Monte Carlo Localization (Amcl) For Robust Indoor Mobile Robot Localization, Matthew Peavy, Pileun Kim, Hafiz Oyediran, Kyungki Kim

Durham School of Architectural Engineering and Construction: Faculty Publications

A robot can accurately localize itself and navigate in an indoor environment based on information about the operating environment, often called a world or a map. While typical maps describe structural layouts of buildings, the accuracy of localization is significantly affected by nonstructural building elements and common items, such as doors, appliances, and furniture. This study enhances the robustness and accuracy of indoor robot localization by dynamically updating the semantic building map with non-structural elements detected by sensors. We propose modified Adaptive Monte Carlo Localization (AMCL), integrating object recognition and map updating into the traditional probabilistic localization. With the proposed …

Statistical Tolerance Regions For Flexible Modeling Paradigms, Yafan Guo

Theses and Dissertations--Statistics

Tolerance intervals in a regression setting allow the user to quantify, with a specified degree of confidence, bounds for a specified proportion of the sampled population when conditioned on a set of covariate values. While methods are available for tolerance intervals in fully-parametric regression settings, the construction of tolerance intervals for semiparametric regression models has been treated in a limited capacity. The first project fills this gap and develops likelihood-based approaches for the construction of pointwise one-sided and two-sided tolerance intervals for semiparametric regression models. A numerical approach is also presented for constructing simultaneous tolerance intervals. An appealing facet of …

Understanding Professional Skills In Engineering Education: A Phenomenographic Study Of Faculty Conceptions, Una Beagon, Brian Bowe

Articles

Abstract Background Globalization and socially complex problems will greatly affect the way engineers work in the future. Therefore, efforts to transform engineering education must focus on professional skills and engagement of faculty as key change agents.

Purpose/Hypotheses For engineering programs to address the needs of society, graduates must have the skills to tackle future challenges. Transformation will only be successful if faculty fully engage in all curriculum design aspects; however, little is known about how faculty view professional skills. This understanding is critical if we wish to support and encourage their participation in the transformation effort. This novel study reveals …

Owasp Zap Vs Snort For Sqli Vulnerability Scanning, Christopher Kalaani

College of Graduate Studies: Theses & Dissertations

Web applications are important to protect from threats that will compromise sensitive information. Web vulnerability scanners are a prominent tool for this purpose, as they can be utilized to find vulnerabilities in a web application to be rectified. Two popular open-source tools were compared head-to-head, OWASP ZAP and Snort. The performance metrics evaluated were SQLi attacks detected, false positives, false negatives, processing time, and memory usage. OWASP ZAP yielded fewer false positives and had less processing time. Snort used significantly fewer memory resources. The internal workings of ZAP’s Active Scan feature and Snort’s implementation of the Boyer-Moore and Aho-Corasick algorithms …

Dissipated Hysteretic Energy Reconstruction For High-Resolution Seismic Monitoring Of Instrumented Buildings, Milad Roochi, Eric M. Hernández, David V. Rosowsky

Durham School of Architectural Engineering and Construction: Faculty Publications

This paper proposes a high-resolution seismic monitoring framework that employs dissipated energy as a feature for damage detection and localization in instrumented building structures. The the methodology consists of (1) implementing a nonlinear state observer to reconstruct the dynamic response at all degrees of freedom (DoF) of a structural model, (2) employing the reconstructed response to estimate element-by-element forces and displacements, and (3) using estimated displacement, forces, and constitutive laws to estimate elementlevel dissipated energy. The main advantages of the proposed energy-based approach are that i) the proposed feature is physically meaningful and correlates well with the level of cyclic …

The Role Of Teacher Agency In Using Gis To Teach Sustainability: An Evaluation Of A Lower Secondary School Story Mapping Gis Initiative In Ireland, Sasha Brown, Zerrin Doganca Kucuk, Angela Rickard, James Lonergan, Rachel Abernethy, Lorraine Mcnerney, Ronan Foley, Avril Behan, Aengus Byrne, Bernard Essel, Jack Ffrench, Jonathan Faull, Conor Cahalane

Articles

This paper investigates the role of teacher agency for those who were trained in using an innovative Geographic Information Systems (GIS) approach and incorporated GIS into their teaching. While national curricula increasingly emphasise STEM and sustainability approaches, there has been limited analysis of how teachers can bring new software, including GIS, and new approaches into the classroom. Through an evaluation of a teaching initiative “5*S: Space, Surveyors and Students – STEM and the Sustainable Development Goals” designed to bring GIS technology, satellite data, and the Sustainable Development Goals (SDGs) into classrooms as activities and resources for teachers and students in …

Portable Hepa Filtration Successfully Augments Natural-Ventilation-Mediated Airborne Particle Clearance In A Legacy Design Hospital Ward, Mehael Fennelly, S. Hellebust, J. Wenger, D. O'Connor, G.W. Griffith, B.J. Plant, A.P.C. Microbiome Institute

Articles

As the severe acute respiratory syndrome coronavirus-2 pandemic has proceeded, ventilation has been recognized increasingly as an important tool in infection control. Many hospitals in Ireland and the UK do not have mechanical ventilation and depend on natural ventilation. The effectiveness of natural ventilation varies with atmospheric conditions and building design. In a challenge test of a legacy design ward, this study showed that portable air filtration significantly increased the clearance of pollutant aerosols of respirable size compared with natural ventilation, and reduced spatial variation in particle persistence. A combination of natural ventilation and portable air filtration is significantly more …

Synthetic Well Log Generation Software, Daniel E. Keller

Graduate Theses, Dissertations, and Problem Reports (ETD)

In this study, we developed a novel approach to generate synthetic well logs using backpropagation neural networks through the use of an open source software development tool. Our method predicts essential well logs such as neutron porosity, sonic, photoelectric, and resistivity, which are crucial in various stages of oil and gas exploration and development, as they help determine reservoir characteristics. Our approach involves sequentially predicting well logs, using the outputs of one prediction model as inputs for subsequent models to generate comprehensive and coherent sets of well logs. We trained and tested our models using 16 wells from a single …