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Full-Text Articles in Engineering

Law School News: National Housing Advocate Named To Lead Rwu's New Real Estate Initiatives 02/08/2022, Roger Williams University School Of Law Feb 2022

Law School News: National Housing Advocate Named To Lead Rwu's New Real Estate Initiatives 02/08/2022, Roger Williams University School Of Law

Life of the Law School (1993- )

No abstract provided.


Sensitivity Of Tremor Propagation To Model Parameters, Charles Paul Curtis Jr. Dec 2021

Sensitivity Of Tremor Propagation To Model Parameters, Charles Paul Curtis Jr.

Theses and Dissertations

Although Essential Tremor (ET) is the most common type of tremor, many patients are left without satisfactory treatment options. One potential alternative treatment to medication or surgery is a wearable tremor-suppressing device. However, optimizing the effectiveness of such a device requires knowledge of which muscles/joints are most responsible for tremor. To answer this question, current efforts simulate tremor propagation using a model of the neuromusculoskeletal dynamics of the upper limb. To guide efforts to identify realistic model parameters and use the model to determine the mechanical origin of tremor, we performed preliminary parameter estimation work and a thorough sensitivity ...


Sensitivity Analysis Of Transportation Emissions On Near-Road Air Dispersion Using The Epa-Approved Gaussian Air Dispersion Model Aermod, Ivan Mauricio Ramirez Aug 2021

Sensitivity Analysis Of Transportation Emissions On Near-Road Air Dispersion Using The Epa-Approved Gaussian Air Dispersion Model Aermod, Ivan Mauricio Ramirez

Open Access Theses & Dissertations

Departments of transportation across the United States have presented concerns over making the American Meteorological Society (AMS) and U.S. Environmental Protection Agency (EPA) Regulatory Model (AERMOD) the new regulatory air dispersion model for federally funded transportations projects. Concerns arose from the lack of data presented on its use in transportation projects. AERMOD was developed to present a steady-state air dispersion model used on industrial complexes which present static emission sources unlike the dynamic sources presented by transportation projects. We used multiple analytical and statistical methods to further understand the sensitivity of the model results based on different factors and ...


Numerical Simulation Of Losses In Four-Way Pipe Junctions, Simon Barth May 2021

Numerical Simulation Of Losses In Four-Way Pipe Junctions, Simon Barth

All Graduate Theses and Dissertations

To design pipelines, engineers need to know how much energy the fluid in the pipe has at different locations in the pipe network. The energy the fluid has comes in the form of pressure, velocity, and elevation. As fluid travels through a pipe, it loses energy for many different reasons. Some of those reasons include friction between the fluid and the pipe wall, shear forces within the fluid, changes in flow direction, changes in elevation, or various pipe fittings like elbows, tee’s, valves, reducers, and expanders. Many of the causes of energy loss are well researched. One cause of ...


Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin Jan 2021

Towards A More Effective Bidirectional Lstm-Based Learning Model For Human-Bacterium Protein-Protein Interactions, Huaming Chen, Jun Shen, Lei Wang, Yaochu Jin

Faculty of Engineering and Information Sciences - Papers: Part B

The identification of protein-protein interaction (PPI) is one of the most important tasks to understand the biological functions and disease mechanisms. Although numerous databases of biological interactions have been published in debt to advanced high-throughput technology, the study of inter-species protein-protein interactions, especially between human and bacterium pathogens, remains an active yet challenging topic to harness computational models tackling the complex analysis and prediction tasks. In this paper, we comprehensively revisit the prediction task of human-bacterium protein-protein interactions (HB-PPI), which is a first ever endeavour to report an empirical evaluation in learning and predicting HB-PPI based on machine learning models ...


Theoretical Investigations On Electrocaloric Properties Of (111)-Oriented Pbmg1/3Nb2/3O3 Single Crystal, Mahmoud Aly Hamad Oct 2020

Theoretical Investigations On Electrocaloric Properties Of (111)-Oriented Pbmg1/3Nb2/3O3 Single Crystal, Mahmoud Aly Hamad

Journal of Advanced Ceramics

The electrocaloric (EC) effect accompanied with the ferroelectric to paraelectric phase transition in (111)-oriented PbMg1/3Nb2/3O3 (PMN) is investigated. It is shown that the largest change ΔT is 0.37 K in 3 kV/cm electric field shift near the Curie temperature of 221 K; that is, the cooling ΔT per unit field (MV/m) is 1.23×10-6 m·K/V. This value is significantly larger, and comparable with the value of 0.254×10-6 m·K/V for PbZr0.95Ti0.05O3 thin film under ...


Theoretical Work On Magnetocaloric Effect In La0.75Ca0.25Mno3, Mahmoud Aly Hamad Oct 2020

Theoretical Work On Magnetocaloric Effect In La0.75Ca0.25Mno3, Mahmoud Aly Hamad

Journal of Advanced Ceramics

In this work, a phenomenological model is applied to describe the magnetocaloric effect for the La0.75Ca0.25MnO3 system near a second-order phase transition from a ferromagnetic to a paramagnetic state. Based on this model, it can predict the values of the magnetocaloric properties from calculation of magnetization as a function of temperature under different external magnetic fields. The magnetic entropy change reaches a peak of about 5.39 J/(kg·K) at 257 K upon 4 T applied field variation. The ∆SM distribution is much more uniform than that of gadolinium, which is ...


Potential Hydrodynamic Origin Of Frictional Transients In Sliding Mesothelial Tissues, Stephen H. Loring, James P. Butler Oct 2020

Potential Hydrodynamic Origin Of Frictional Transients In Sliding Mesothelial Tissues, Stephen H. Loring, James P. Butler

Friction

Steady-state and transient variations in frictional force observed in tribological experiments of mesothelial tissues sliding in lubricant were analyzed with a mathematical model to test the hypothesis that such phenomena are manifestations of elastohydrodynamic lubrication and, importantly, do not require physical contact between the sliding surfaces. The model incorporates three phenomena characteristic of elastohydrodynamic lubrication: thinning of the liquid layer between sliding surfaces under a normal load (“squeeze-out”), thickening of the liquid layer due to hydrodynamic pumping, and smoothing of the elastic surfaces caused by hydrodynamic pressure gradients. Observations in soft mesothelial tissues sliding in lubricant showed variations in steady ...


A Novel Path Loss Forecast Model To Support Digital Twins For High Frequency Communications Networks, James Marvin Taylor Jr Jul 2020

A Novel Path Loss Forecast Model To Support Digital Twins For High Frequency Communications Networks, James Marvin Taylor Jr

Theses, Dissertations, and Student Research from Electrical & Computer Engineering

The need for long-distance High Frequency (HF) communications in the 3-30 MHz frequency range seemed to diminish at the end of the 20th century with the advent of space-based communications and the spread of fiber optic-connected digital networks. Renewed interest in HF has emerged as an enabler for operations in austere locations and for its ability to serve as a redundant link when space-based and terrestrial communication channels fail. Communications system designers can create a “digital twin” system to explore the operational advantages and constraints of the new capability. Existing wireless channel models can adequately simulate communication channel conditions with ...


Discrete Vortex Modeling Of Aerodynamic Flutter Of A Flat Plate With Damped Oscillations, Emma Chao May 2020

Discrete Vortex Modeling Of Aerodynamic Flutter Of A Flat Plate With Damped Oscillations, Emma Chao

UNLV Theses, Dissertations, Professional Papers, and Capstones

Aerodynamic flutter is the unstable oscillation of a body caused by the interaction of aerodynamic forces, structural elasticity, and inertial effects induced by vortex shedding. Current models of this phenomenon require finite element analysis and extensive computational power and processing time. The purpose of this study was to develop and validate a program that is faster and more efficient than existing approaches by using the discrete vortex method (DVM). By reducing the complexities of flutter to the shedding of vortices in an inviscid model of a two-dimensional flat plate with a torsional spring constant at its center, this phenomenon can ...


Emergency Eye Simulation Model, Gavin L. Warrington, Christopher Forsyth, Lexus Morris, Natalie Ledezma May 2020

Emergency Eye Simulation Model, Gavin L. Warrington, Christopher Forsyth, Lexus Morris, Natalie Ledezma

Chancellor’s Honors Program Projects

No abstract provided.


Thermal Chemical Energy Storage, William Miller, Samuel Swayne, Jonathan West, John Davis, James Mcbroom, Tennessee Bryant May 2020

Thermal Chemical Energy Storage, William Miller, Samuel Swayne, Jonathan West, John Davis, James Mcbroom, Tennessee Bryant

Chancellor’s Honors Program Projects

No abstract provided.


Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin Jan 2020

Hybrid Translation And Language Model For Micro Learning Material Recommendation, Jiayin Lin

Faculty of Engineering and Information Sciences - Papers: Part A

As an emerging pedagogy, micro learning aims to make use of people’s fragmented spare time and provide personalized online learning service, for example, by pushing fragmented knowledge to specific learners. In the context of big data, the recommender system is the key factor for realizing the online personalization service, which significantly determines what information will be fmally accessed by the target learners. In the education discipline, due to the pedagogical requirements and the domain characteristics, ranking recommended learning materials is essential for maintaining the outcome of the massive learning scenario. However, many widely used recommendation strategies in other domains ...


Deep Sequence Labelling Model For Information Extraction In Micro Learning Service, Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun Jan 2020

Deep Sequence Labelling Model For Information Extraction In Micro Learning Service, Jiayin Lin, Zhexuan Zhou, Geng Sun, Jun Shen, David Pritchard, Tingru Cui, Dongming Xu, Li Li, Ghassan Beydoun

Faculty of Engineering and Information Sciences - Papers: Part B

Micro learning aims to assist users in making good use of smaller chunks of spare time and provides an effective online learning service. However, to provide such personalized online services on the Web, a number of information overload challenges persist. Effectively and precisely mining and extracting valuable information from massive and redundant information is a significant preprocessing procedure for personalizing online services. In this study, we propose a deep sequence labelling model for locating, extracting, and classifying key information for micro learning services. The proposed model is general and combines the advantages of different types of classical neural network. Early ...


A Novel Monte Carlo-Based Neural Network Model For Electricity Load Forecasting, Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou Jan 2020

A Novel Monte Carlo-Based Neural Network Model For Electricity Load Forecasting, Binbin Yong, Zijian Xu, Jun Shen, Huaming Chen, Jianqing Wu, Fucun Li, Qingguo Zhou

Faculty of Engineering and Information Sciences - Papers: Part B

The ongoing rapid growth of electricity over the past few decades greatly promotes the necessity of accurate electricity load forecasting. However, despite a great number of studies, electricity load forecasting is still an enormous challenge for its complexity. Recently, the developments of machine learning technologies in different research areas have demonstrated its great advantages. General Vector Machine (GVM) is a new machine learning model, which has been proven very effective in time series prediction. In this article, we firstly review the basic concepts and implementation of GVM. Then we apply it in electricity load forecasting, which is based on the ...


Model Predictive Control For A New Magnetic Linked Multilevel Inverter To Integrate Solar Photovoltaic Systems With The Power Grids, A M. Mahfuz-Ur-Rahman, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto Jan 2020

Model Predictive Control For A New Magnetic Linked Multilevel Inverter To Integrate Solar Photovoltaic Systems With The Power Grids, A M. Mahfuz-Ur-Rahman, Md Rabiul Islam, Kashem M. Muttaqi, Danny Sutanto

Faculty of Engineering and Information Sciences - Papers: Part B

The multilevel inverters are becoming increasingly popular for use in the grid integration of wind and photovoltaic (PV) power plants due to their higher voltage handling capability and the better output power quality. There are several types of multilevel inverters that have been proposed in the literature; among them the active neutral point clamp (ANPC) multilevel inverters have been drawing significant attention specially for solving the problems with other multilevel inverters. However, with the increase of number of levels, the ANPC requires more electronic switches and flying capacitors, by which the complexity and the cost increases. In this paper, an ...


Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi Jan 2020

Apex2s: A Two-Layer Machine Learning Model For Discovery Of Host-Pathogen Protein-Protein Interactions On Cloud-Based Multiomics Data, Huaming Chen, Jun Shen, Lei Wang, Chi-Hung Chi

Faculty of Engineering and Information Sciences - Papers: Part B

No abstract provided.


A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam Jan 2020

A New Data Driven Long-Term Solar Yield Analysis Model Of Photovoltaic Power Plants, Biplob Ray, Rakibuzzaman Shah, Md Rabiul Islam, Syed Islam

Faculty of Engineering and Information Sciences - Papers: Part B

Historical data offers a wealth of knowledge to the users. However, often restrictively mammoth that the information cannot be fully extracted, synthesized, and analyzed efficiently for an application such as the forecasting of variable generator outputs. Moreover, the accuracy of the prediction method is vital. Therefore, a trade-off between accuracy and efficacy is required for the data-driven energy forecasting method. It has been identified that the hybrid approach may outperform the individual technique in minimizing the error while challenging to synthesize. A hybrid deep learning-based method is proposed for the output prediction of the solar photovoltaic systems (i.e. proposed ...


Establecimiento De Dos Cultivos (Frijol Y Arracacha) Como Modelo De Diversificación De La Producción Agrícola Familiar En El Municipio De Guavatá Santander, Brayan Orlando Ariza Velasco Jan 2020

Establecimiento De Dos Cultivos (Frijol Y Arracacha) Como Modelo De Diversificación De La Producción Agrícola Familiar En El Municipio De Guavatá Santander, Brayan Orlando Ariza Velasco

Ingeniería Agronómica

El proyecto Productivo se llevó a cabo en el municipio de Guavatá Santander mediante el apoyo de Universidad de La Salle proyecto Utopía. El componente de ingeniería agronómica para el cual se establecieron dos cultivos, Fríjol (Phaseolus Vulgaris) y Arracacha (Arracacia xanthorrhiza) como modelo de diversificación de la producción agrícola familiar en el municipio; este componente fue exitoso ya que se realizó un manejo técnico adecuado se dio a conocer esta alternativa en la región y se obtuvieron altos rendimientos. El componente de investigación el cual tuvo como objetivo analizar los sistemas actuales de producción de guayaba del municipio de ...


Miniature Photogrammetry Rig, Alec Geither, Sean Weber Jan 2020

Miniature Photogrammetry Rig, Alec Geither, Sean Weber

Williams Honors College, Honors Research Projects

Photogrammetry is a process that accurately gathers measurements from multiple photographs, capturing all sides and angles of the object. As long as a point is visible in at least three different photographs, its position can be triangulated accurately relative to each other point on the model. This process has a diverse range of applications, from surveying land to developing virtual training systems for professional athletes. One interesting application for photogrammetry is to create highly accurate electronic three-dimensional models from a series of photographs. We intend to build a miniature photogrammetry rig for use at the University of Akron.


Fórmula Sintética Para El Cálculo De La Reactancia De Dispersión En Transformadores De Núcleo Arrollado, Darwin Felipe Alcócer Torres, Cristian David Bermúdez Gutiérrez Jan 2020

Fórmula Sintética Para El Cálculo De La Reactancia De Dispersión En Transformadores De Núcleo Arrollado, Darwin Felipe Alcócer Torres, Cristian David Bermúdez Gutiérrez

Ingeniería Eléctrica

En este trabajo se presenta una fórmula sintética para el cálculo de la reactancia de dispersión en transformadores de núcleo arrollado. La fórmula propuesta en esta tesis tomó como base inicial la fórmula obtenida en el trabajo de maestría de Castañeda Hernández (2019). Los resultados calculados con la fórmula sintética mostraron una exactitud promedio superior a los obtenidos con la fórmula propuesta en Castañeda Hernández (2019). La fórmula sintética se obtuvo incluyendo más grados de libertad a la fórmula de Castañeda y realizando una regresión no lineal para determinar el valor de los grados de libertad. La regresión no lineal ...


Diseño De Un Modelo Para La Gestión De La Innovación En Wm Wireless & Mobile Sas En Bogotá, Manuel Sebastián Bernal Díaz, Silvana Soto Ocampo Jan 2020

Diseño De Un Modelo Para La Gestión De La Innovación En Wm Wireless & Mobile Sas En Bogotá, Manuel Sebastián Bernal Díaz, Silvana Soto Ocampo

Ingeniería Industrial

En un mercado globalizado, donde las empresas cada vez son más competitivas y productivas, la innovación es una de las herramientas para mantenerse vigente, ya que ofrecer un amplio portafolio de productos y servicios lleva a las organizaciones a competir con base al costo, entorpeciendo él desarrollo normal de la economía, por lo que estas deben salir de los commodities hacia los océanos azules (Mauborgne & Kim, 2016). Es por esto que el Gobierno Nacional promueve nuevas políticas, planes de gobierno, incentivos y manuales de buenas prácticas, entre otros, para que, desde los diferentes organismos, como la Cámara de Comercio de ...


Modelling The Addition Of Limestone In Cement Using Hydcem, Niall Holmes, Denis Kelliher, Mark Tyrer Sep 2019

Modelling The Addition Of Limestone In Cement Using Hydcem, Niall Holmes, Denis Kelliher, Mark Tyrer

Conference papers

Hydration models can aid in the prediction, understanding and description of hydration behaviour over time as the move towards more sustainable cements continues.

HYDCEM is a new model to predict the phase assemblage, degree of hydration and heat release over time for cements undergoing hydration for any w/c ratio and curing temperatures up to 450C. HYDCEM, written in MATLAB, complements more sophisticated thermodynamic models by predicting these properties over time using user-friendly inputs within one code. A number of functions and methods based on up to date cement hydration behaviour from the literature are hard-wired into the code along ...


Model Based Analysis Of The Accuracy And Precision Of Auscultatory Blood Pressure Measurements In Patients With Atrial Fibrillation, Charles F. Babbs Sep 2019

Model Based Analysis Of The Accuracy And Precision Of Auscultatory Blood Pressure Measurements In Patients With Atrial Fibrillation, Charles F. Babbs

Weldon School of Biomedical Engineering Faculty Working Papers

Accurate measurement of blood pressure in the presence of atrial fibrillation remains an open problem. The present study combines the techniques of stochastic mathematical modeling with physiological models of the systemic circulation, cuff, and arm (1) to explore mechanisms underlying both the lack of accuracy and the lack of precision in cuff-based arterial pressure measurements during atrial fibrillation and (2) to develop strategies to correct for errors. Both the cardiovascular system and the measurement technique are described using mathematics, including both numerical techniques and analytical probability theory. Preliminary results with numerical models suggested that, despite variability, average systolic pressures tend ...


Hydcem: A New Cement Hydration Model, Niall Holmes, Denis Kelliher, Mark Tyrer Aug 2019

Hydcem: A New Cement Hydration Model, Niall Holmes, Denis Kelliher, Mark Tyrer

Conference papers

Hydration models are useful to predict, understand and describe the behaviour of different cementitious-based systems. They are indispensable for undertaking long-term performance and service life predictions for existing and new products for generating quantitative data in the move towards more sustainable cements while optimising natural resources. One such application is the development of cement-based thermoelectric applications.

HYDCEM is a new model to predict the phase assemblage, degree of hydration, heat release and changes in pore solution chemistry over time for cements undergoing hydration for any w/c ratio and curing temperatures up to 450C. HYDCEM, written in MATLAB, is aimed ...


A Model For Condensation Heat Transfer In Hydrophobic-­Hydrophilic Surfaces, Abdulwahab E. Alhashem Jul 2019

A Model For Condensation Heat Transfer In Hydrophobic-­Hydrophilic Surfaces, Abdulwahab E. Alhashem

Theses and Dissertations

The primary focus of this research is to provide a validated model for a comprehensive understanding of hydrophobic-­‐hydrophilic condensation on patterned-­‐ hybrid surface. Establishing the model requires the modeling of fully dropwise condensation (DWC) before applying modifications to evaluate heat transfer performance of patterned-­‐hybrid condensation surface.

The model for fully DWC consists of defining expressions for heat transfer through a single drop, maximum radius of the drop and drop-­‐size distribution which all are primarily based on the work in the literature. In this work the author utilized a proposed modified version of the simulation for drop-­‐size ...


An Electrical Matlab Model Of Plasma Electrolytic Oxidation, Huize Xue May 2019

An Electrical Matlab Model Of Plasma Electrolytic Oxidation, Huize Xue

Theses

Plasma Electrolytic Oxidation (PEO), a part of Plasma electrolytic Deposition (PED), has been developing for surface modification of metallic materials in the past 20 years. During PEO process, sample always connect with anode of DC power source, under high temperature, accelerating process of oxidation reaction to from an average and dense oxidation film. A general passage, Plasma electrolysis for surface engineering, written by A.L. Yerokhin, X. Nie gives us a trend of what happened during PEO process but did not determine specific material and value. Linxin Zhu’s Development of PEO invent a new boiling system and investigated relationship ...


Computations Of Top-Down Attention By Modulating V1 Dynamics, David Berga, Xavier Otazu May 2019

Computations Of Top-Down Attention By Modulating V1 Dynamics, David Berga, Xavier Otazu

MODVIS Workshop

The human visual system processes information defining what is visually conspicuous (saliency) to our perception, guiding eye movements towards certain objects depending on scene context and its feature characteristics. However, attention has been known to be biased by top-down influences (relevance), which define voluntary eye movements driven by goal-directed behavior and memory. We propose a unified model of the visual cortex able to predict, among other effects, top-down visual attention and saccadic eye movements. First, we simulate activations of early mechanisms of the visual system (RGC/LGN), by processing distinct image chromatic opponencies with Gabor-like filters. Second, we use a ...


Using A Balloon-Launched Unmanned Glider To Validate Real-Time Wrf Modeling, Travis J. Schuyler, S. M. Iman Gohari, Gary Pundsack, Donald Berchoff, Marcelo I. Guzman Apr 2019

Using A Balloon-Launched Unmanned Glider To Validate Real-Time Wrf Modeling, Travis J. Schuyler, S. M. Iman Gohari, Gary Pundsack, Donald Berchoff, Marcelo I. Guzman

Chemistry Faculty Publications

The use of small unmanned aerial systems (sUAS) for meteorological measurements has expanded significantly in recent years. SUAS are efficient platforms for collecting data with high resolution in both space and time, providing opportunities for enhanced atmospheric sampling. Furthermore, advances in mesoscale weather research and forecasting (WRF) modeling and graphical processing unit (GPU) computing have enabled high resolution weather modeling. In this manuscript, a balloon-launched unmanned glider, complete with a suite of sensors to measure atmospheric temperature, pressure, and relative humidity, is deployed for validation of real-time weather models. This work demonstrates the usefulness of sUAS for validating and improving ...


Generating Spectra Using Pca-Based Spectral Mixture Models, Joseph S. Makarewicz, Heather D. Makarewicz Apr 2019

Generating Spectra Using Pca-Based Spectral Mixture Models, Joseph S. Makarewicz, Heather D. Makarewicz

Scholar Week 2016 - present

PCA-based spectra mixture models have been created for several laboratory mixture data sets. This presentation provides examples of spectra that were generated using PCA-based spectra mixture models.