Engineering Commons^™

A Critical Examination Of Visual Programming And Generative Design For The Compliance Checking Of Open Plan Office Layouts Against Hse Guidelines Post Covid-19., Bim Tudublin, Ronan Byrne

Capstone Reports

The purpose of this study is to explore the feasibility of Visual Programming (VP) and Generative Design (GD) in assisting employers review open plan office layouts against Ireland’s HSE guidelines implemented in May 2020 in response to Covid-19. The pandemic has affected all areas of life with workplace standards requiring a complete overhaul. This study will attempt to ascertain compliance with natural ventilation and social distancing requirements through the completion of an experimental research study, utilising Computational Design (CD) tools. A GD study will be undertaken to provide the designer with numerous office layout design solutions to evaluate and evolve. …

Should Acoustic Simulation Technology Be Utilised In Architectural Practice? Does It Have The Potential For Bim Integration?, Bim Tudublin, Keith Harvey

Capstone Reports

The research presented in this paper, firstly, aims to convey the importance of our acoustic environment through focusing on the effects of undesirable acoustic conditions on cognitive abilities in spaces where cognitive performance is of the utmost concern, our learning environments. Secondly, it aims to investigate current state-of-the-art acoustic simulation methods, available platforms, and their levels of interoperability with architectural BIM authoring software. Structured interviews were carried out with 7 Irish architects and architectural technologists to determine if a disconnection between architectural design and acoustic performance exists and to identify the advantages and disadvantages of current workflows for acoustic performance …

Deep Learning Methods For Fingerprint-Based Indoor And Outdoor Positioning, Fahad Alhomayani

Electronic Theses and Dissertations

Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning impractical. Location fingerprinting, which utilizes machine learning, has emerged as a viable method and solution for indoor positioning due to its simple concept and accurate performance. In the past, shallow learning algorithms were traditionally used in location fingerprinting. Recently, the research community started utilizing deep learning methods for fingerprinting after witnessing the great success and superiority these methods have over traditional/shallow machine learning algorithms. The contribution of this dissertation is fourfold:

First, a Convolutional Neural Network (CNN)-based method for …

Performance Of Non-Contact Flow Meters In Irrigation Canals And Surface Drains, Kyle Feist, Jack Evans, Zack Markow, Stuart Styles

BioResource and Agricultural Engineering

Flow measurement is an important component of modern irrigation delivery systems. As irrigation projects are modernized, flow measurement devices are being installed in more non-traditional applications. Some applications feature a combination of characteristics that eliminate traditional flow measurement structures. Furthermore, as regulations obligate more districts to report real time diversions, redundant flow measurement devices using different methods or technologies become necessary to reduce the potential for temporary gaps in diversion data. In these cases, non-contact type flow measurement devices may be of interest. Two non-contact flow meters were installed at different irrigation district canals. Data was collected from the non-contact …

Development Of A Framework For Managing The Industry 4.0 Equipment Procurement Process For The Irish Life Sciences Sector, Shane Loughlin

Doctoral

Industry 4.0 (I4.0) brings unprecedented opportunities for Manufacturing Corporations poised to implement Digital Business models; DigitALIZAtion. Industry Standards have been developed for the core technologies of the I4.0 Digital Supply Chains. Manufacturing equipment must now be procured to integrate seamlessly at any point in these novel supply chains. The aim of this study is to determine if an I4.0 Equipment Procurement Process (I4.0-EPP) can be developed which reduces the risk of equipment integration issues. It asks; Can the form of the equipment be specified, so that it correctly fits into the I4.0 Digital Supply Chain, to facilitate the desired I4.0 …

Open Source Software Problems In Heat Transfer To Explore Assumptions And Models, Benjamin Pepper, Amir Behbahanian, Nick Roberts

Course Materials

Energy2D software can be downloaded here: http://energy.concord.org/energy2d/

After opening the application, choose File -> Open and select one of the .e2d files available for download here under additional files. Click the Run button to get started.

The main download has a document that provides a detailed description of the adaptation of a freely available software program, Energy2D, for problems focused on the exploration and limitations of assumptions made in models commonly used in an undergraduate heat transfer course. The motivation for creating homework problems that use Energy2D is to explore the accuracy and limitations of the models used in heat …

An Active Hybrid Modulation Strategy For A Si/Sic Hybrid Multilevel Converter, Fei Diao, Yufei Li, Xinyuan Du, Yue Zhao

Electrical Engineering Faculty Publications and Presentations

This paper proposes a hybrid modulation strategy for a medium-voltage hybrid seven-level (7-L) converter, which consists of a three-phase silicon (Si) IGBT-based active-neutral-point-clamped (ANPC) stage and a cascaded silicon carbide (SiC) MOSFET-based H-bridge (HB) stage in each phase. Within the framework of the proposed modulation strategy, three floating HB converters are controlled using a high-frequency three-level (3-L) space-vector-modulation (SVM), while a low-frequency modulation is applied to the ANPC converter. To regulate the DC voltages across floating capacitors, a zero-sequence voltage (ZSV) injection method is adopted. The proposed method possesses three major advantages. First, it enables the simplification from a 7-L …

“Greener” Chemical Modification Of Cellulose Nanocrystals Via Oxa-Michael Addition With N-Benzylmaleimide, Mohammad Jahid Hasan, Ashley E. Johnson, Esteban E. Ureña-Benavides

Faculty and Student Publications

Surface modification of cellulose nanocrystals (CNCs) was conducted by an oxa-Michael addition of primary hydroxyl groups on the CNC surface with N-Benzylmaleimide (BnM). Six principles of green chemistry were used to obtain the hydrophobized CNC. Two catalytic approaches were used, a self-catalyzed reaction where alkyl sulfuric acid on the surface of the CNC was the catalyst, and a base-catalyzed approach using triethylamine (TEA). DMSO was chosen as reaction solvent due to its low cost, low toxicity and ability to disperse native CNC compared to other polar diprotic solvents. NMR and FTIR studies confirmed the successful modification of CNCs in both …

Shopping For An Ir: The Search, Adoption, And Implementation Of The University Of Louisiana At Lafayette’S Institutional Repository Platform, Zachary G. Stein

Faculty Scholarship

Institutions wishing to disseminate their scholarship on a wide scale have influenced the need for institutional repositories (IR). These repositories provide institutions the opportunity to display and preserve what they have to offer in an open access environment. The University of Louisiana at Lafayette (UL Lafayette) had attempted to adopt an IR for years and finally achieved this goal. Many issues impacted the adoption, including funding, deciding on the appropriate platform solutions, and marketing the need for contributions from faculty and university administration. There is much optimism for the IR, as it is also included in the university’s Quality Enhancement …

Creation Connections: Visualizing And Utilizing A Ravine, Bryce Bundens, Alex Newell, Hannah Smith

Student Papers and Reports

Creation Connections sought to provide access for students of all mobility levels at Grand Rapids Christian Middle School (GRCMS) to outdoor learning spaces through the design of a 20-year masterplan.

Recycling Of Fiber Polymer Matrix Composites In Cementitious Materials, Edward Patton Clark

Electronic Theses and Dissertations

Recycling options for fiber polymer matrix composite waste materials are limited because they typically cannot be reused, reprocessed for down-cycling, and are generally environmentally unfriendly. The utility industry, specifically electrical distribution, has been increasingly using hybrid carbon, glass fiber, and epoxy resin composite rods for high-voltage (HV) conductor transmission lines. The high-voltage conductor core (HVCC) used in the transmission line can have an optimal in-service-life of roughly several decades, in which the material is then retired to a waste landfill. Currently, there is limited research and recycling methodology for these hybrid composite rods. In this research, powder carbon fiber, glass …

Pedagogical Considerations And Challenges For Sociotechnical Integration Within A Materials Science Class, Laura A. Gelles, Susan M. Lord

School of Engineering: Faculty Scholarship

This paper describes the development and refinement of sociotechnical content within an introductory Materials Science and Engineering (MSE) course by incorporating principles of sustainability (i.e., social and environmental context), interdisciplinary collaboration, and best pedagogical practices. The study draws on student data from focus groups, interviews, final exam responses, and researcher and instructor reflections on the practical realities of teaching sociotechnical modules.

Our results show that students demonstrated greater awareness of social and environmental issues. However, they also expressed a need to engage beyond surface-level awareness to better understand the direct impact of engineering decisions on people and the environment. While …

An Experimental Study Investigating The Impact Of Miscible And Immiscible Nitrogen Injection On Asphaltene Instability In Nano Shale Pore Structure, Mukhtar Elturki, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Miscible gas injection has become the most used enhanced oil recovery (EOR) method in the oil and gas industry. The deposition and precipitation of asphaltene during the gas injection process is one of the problems during the oil production process. The asphaltene can deposit and plug the pores, which reduces the permeability in a reservoir; thus, decreasing the oil recovery and increasing the production costs. This research investigates the nitrogen (N2) miscible and immiscible pressure injections on asphaltene instability in shale pore structures. First, a slim tube was used to determine the minimum miscibility pressure (MMP) of N2 to ensure …

Tolle Lege Works Published In 2021, Mcquade Library

Bibliographies

Compiled Tolle Lege bibliography of works published by members of the Merrimack College Community in 2021. Works include journal articles, books, book chapters, conference presentations and posters, and more.

Clustering Hypergraphs Via The Mapequation, Matthew Swan, Justin Zhan

Computer Science and Computer Engineering Faculty Publications and Presentations

A hypergraph is a generalization of a graph in that the restriction of pairwise affinity scores is lifted in favor of affinity scores that can be evaluated between an arbitrary number of inputs. Hypergraphs clustering is the process of finding groups in which members of a given hypergraph exhibit a high similarity and dissimilarity with members outside their group. In this paper, we generalize the well-known MapEquation, an optimization equation used in the clustering of nonhypergraphs, for hypergraphs. We develop an agglomerative algorithm, Hypergraph Random Walks (HRW), to find an approximate solution to the generalized MapEquation. Our algorithm requires neither …

Multidimensional Demographic Profiles For Fair Paper Recommendation, Reem Alsaffar, Susan Gauch

Computer Science and Computer Engineering Faculty Publications and Presentations

Despite double-blind peer review, bias affects which papers are selected for inclusion in conferences and journals. To address this, we present fair algorithms that explicitly incorporate author diversity in paper recommendation using multidimensional author profiles that include five demographic features, i.e., gender, ethnicity, career stage, university rank and geolocation. The Overall Diversity method ranks papers based on an overall diversity score whereas the Multifaceted Diversity method selects papers that fill the highest-priority demographic feature first. We evaluate these algorithms with Boolean and continuous-valued features by recommending papers for SIGCHI 2017 from a pool of SIGCHI 2017, DIS 2017 and IUI …

Optimal Sizing And Operation Of A Pumped Thermal Energy Storage System, Matthew Perez

Electronic Theses and Dissertations

Current trends in the modern grid are leading to the integration of energy storage technologies (ESSs), such as pumped thermal energy storage to help incorporate more variable renewable energy sources into the grid. This paper analyzes the operation of a pumped thermal energy storage (PTES) system under the grid services of energy arbitrage, regulation services, spinning and non-spinning reserve, resource adequacy, and a combination of them all. Each revenue stream is setup into an optimization problem and solved to find which revenue generating technique would generate the most revenue. The combined revenue stream was found to produce the most revenue …

Thermal Performance Of Algan/Gan Based Power Switching Devices For Transformerless Inverters, Mahesh B. Manandhar

Electronic Theses and Dissertations

Wide Bandgap (WBG) semiconductors like Silicon Carbide (SiC), Gallium Nitride (GaN) and Aluminum Gallium Nitride (AlGaN) have superior material properties as compared to Silicon (Si) like higher electrical breakdown voltages and bandgap energies as well as lower leakage currents as compared to Si which make them ideal to operate at higher voltage with lower thermal losses. These properties make WBG materials ideal for power devices like Vertical Double-diffused Metal Oxide Semiconductor Field Effect Transistors (VDMOSFETs). The use of digital prototyping through computer simulation increases the speed and flexibility of the design iterations while reducing the cost and time required for …

Wind Turbine Parameter Calibration Using Deep Learning Approaches, Rebecca Mccubbin

Electronic Theses and Dissertations

The inertia and damping coefficients are critical to understanding the workings of a wind turbine, especially when it is in a transient state. However, many manufacturers do not provide this information about their turbines, requiring people to estimate these values themselves. This research seeks to design a multilayer perceptron (MLP) that can accurately predict the inertia and damping coefficients using the power data from a turbine during a transient state. To do this, a model of a wind turbine was built in Matlab, and a simulation of a three-phase fault was used to collect realistic fault data to input into …

Design And Implementation Of A High-Fidelity Virtual Reality Manufacturing Planning Framework, Hamza Anwar Al-Jundi

Master's Theses and Doctoral Dissertations

Manufacturing applications of virtual reality (VR) technology are growing. The challenge is to design, implement, and integrate VR simulation for manufacturing systems that improves the effectiveness of the planning process. This dissertation provides the industry with the technical infrastructure necessary to design a high-fidelity, collaborative virtual manufacturing planning system. It introduces the VR setup, the VR planning process, and the use of integrated hardware and software to produce high-fidelity simulations. The dissertation also provides a framework and set of guidelines for the architecture of the VR system. The framework is demonstrated by a high-fidelity VR simulation of a stamping process. …

Small Scale Plasma Gasification Of Municipal Solid Waste, Keith Male

Civil and Environmental Engineering Master's Project Reports

The goal of this project was to develop a prototype plasma gasification system to treat municipal solid waste (MSW) with minimal regulated emissions in a footprint small enough to be transported for a wide range of applicability. This project started with a review of current MSW treatment methods and of the emissions produced from thermal breakdown of MSW. A review of air quality regulations and emission control technologies was then used to select the emission control systems to be used for a small-scale plasma gasification system.

This plasma gasification system began with a plasma torch and cooling system being designed, …

Effects Of Resin Chemistries On The Selective Removal Of Industrially Relevant Metal Ions Using Wafer-Enhanced Electrodeionization, Humeyra B. Ulusoy Erol, Christa N. Hestekin, Jamie A. Hestekin

Chemical Engineering Faculty Publications and Presentations

Wafer-enhanced electrodeionization (WE-EDI) is an electrically driven separations technology that occurs under the influence of an applied electric field and heavily depends on ion exchange resin chemistry. Unlike filtration processes, WE-EDI can be used to selectively remove ions even from high concentration systems. Because every excess ion transported increases the operating costs, the selective separation offered by WE-EDI can provide a more energy-efficient and cost-effective process, especially for highly concentrated salt solutions. This work reports the performance comparison of four commonly used cation exchange resins (Amberlite IR120 Na⁺, Amberlite IRP 69, Dowex MAC 3 H⁺, and …

Diving Into Reliable Numerical Observability And Stabilization Of The One-Dimensional Wave Equation, Emma Moore

Mahurin Honors College Capstone Experience/Thesis Projects

In this project, a one-dimensional wave equation, which is a partial differential equation (PDE) describing vibrations on a string, is considered. It is known that the PDE model is exactly observable and exponentially stabilizable. The main goal of this project is to construct a numerical approximation technique, so-called the direct filtering technique, to prove that the Finite Difference and Finite Element space-discretized 1-D wave equations (i) with homogeneous Dirichlet boundary conditions are uniformly observable, (ii) with controlled boundary conditions are uniformly exponentially stable, as the approximation parameters tend to zero. It is crucial to develop reliable numerical approximation techniques for …

Application Of Analogical Reasoning For Use In Visual Knowledge Extraction, Kara Lian Combs

Browse all Theses and Dissertations

There is a continual push to make Artificial Intelligence (AI) as human-like as possible; however, this is a difficult task because of its inability to learn beyond its current comprehension. Analogical reasoning (AR) has been proposed as one method to achieve this goal. Current literature lacks a technical comparison on psychologically-inspired and natural-language-processing-produced AR algorithms with consistent metrics on multiple-choice word-based analogy problems. Assessment is based on “correctness” and “goodness” metrics. There is not a one-size-fits-all algorithm for all textual problems. As contribution in visual AR, a convolutional neural network (CNN) is integrated with the AR vector space model, Global …

Complex Interactions Between Multiple Goal Operations In Agent Goal Management, Sravya Kondrakunta

Browse all Theses and Dissertations

A significant issue in cognitive systems research is to make an agent formulate and manage its own goals. Some cognitive scientists have implemented several goal operations to support this issue, but no one has implemented more than a couple of goal operations within a single agent. One of the reasons for this limitation is the lack of knowledge about how various goals operations interact with one another. This thesis addresses this knowledge gap by implementing multiple-goal operations, including goal formulation, goal change, goal selection, and designing an algorithm to manage any positive or negative interaction between them. These are integrated …

Analytics Capability In Marketing Education: A Practice-Informed Model, Justina Setkute, Simone Kurtzke Dr.

Articles

As marketing continues to be transformed by technology and the explosion of big data, academic research has identified a significant need for analytics skills in marketing education. However, it is unclear whether current curriculum approaches to marketing analytics equip students with the skills employers need and prepare them effectively for data-driven marketing roles. This study identifies the knowledge and skills marketing graduates require for analytics practice to bridge the theory-practice gap and increase students’ employability. Our research reveals that a blend of knowledge, soft and technical skills is needed, and that the ability to communicate insights from data to stakeholders …

Integrating Gender And Inclusivity Into Research Planning And Communication., Shannon Chance, J. Mihajlović Trbovc

Other

No abstract provided.

Identifying Sources Of Covid19 Pandemic Supply Chain Fragility, Clovia Hamilton

Technology & Society Faculty Publications

Supply chain management is in the industrial engineering management and operations management disciplines. It involves product procurement of raw materials, production, storage, distribution, wholesales, and retail sales. The COVID19 pandemic has the added challenge of healthcare service operations management. This paper is a bibliometric study of the COVID19 supply chain fragility problem. In February 2021, the United States’ President called for a review of the pandemic related supply chain for vaccines, personal protective equipment (PPE), medical equipment such as ventilators, and food. This study involves a search for references published between January 1, 2020 and April 30, 2021. It reveals …

Wearable Knee Assistive Devices For Kneeling Tasks In Construction, Siyu Chen, Duncan Stevenson, Shuangyue Yu, Monika Mioskowska, Jingang Yi, Hao Su, Mitja Trkov

Henry M. Rowan College of Engineering Departmental Research

Construction workers regularly perform tasks that require kneeling, crawling, and squatting. Working in awkward kneeling postures for prolonged time periods can lead to knee pain, injuries, and osteoarthritis. In this paper, we present lightweight, wearable sensing and knee assistive devices for construction workers during kneeling and squatting tasks. Analysis of kneeling on level and slopped surfaces (0, 10, 20 degs) is performed for single- and double-leg kneeling tasks. Measurements from the integrated inertial measurement units are used for real-time gait detection and lower-limb pose estimation. Detected gait events and pose estimation are used to control the assistive knee-joint torque provided …

Ionizable Lipid Nanoparticles For In Utero Mrna Delivery., Rachel S. Riley, Meghana V Kashyap, Margaret M Billingsley, Brandon White, Mohamad-Gabriel Alameh, Sourav K Bose, Philip W Zoltick, Hiaying Li, Rui Zhang, Andrew Y Cheng, Drew Weissman, William H Peranteau, Michael J Mitchell

Henry M. Rowan College of Engineering Departmental Research

Clinical advances enable the prenatal diagnosis of genetic diseases that are candidates for gene and enzyme therapies such as messenger RNA (mRNA)-mediated protein replacement. Prenatal mRNA therapies can treat disease before the onset of irreversible pathology with high therapeutic efficacy and safety due to the small fetal size, immature immune system, and abundance of progenitor cells. However, the development of nonviral platforms for prenatal delivery is nascent. We developed a library of ionizable lipid nanoparticles (LNPs) for in utero mRNA delivery to mouse fetuses. We screened LNPs for luciferase mRNA delivery and identified formulations that accumulate within fetal livers, lungs, …