Engineering Commons^™

Tunable Passive Shock And Vibration Isolators For Rotational Isolation, Chase B. Lemaire

LSU Master's Theses

Shock and vibration isolation are a critical need in helmets, which are widely used to protect athletes, workers, soldiers, and astronauts. Passive vibration isolation systems are a good option when mass and volume should be minimized and when the experienced loadings can be predicted. However, it is frequently challenging to find materials and structures which exhibit the optimal vibration and impact isolation properties for an application. As a case study illustrating a novel design paradigm for rotational shock absorption, a family of optimal solutions for the physical properties of American football helmets is presented. Lumped parameter Simulink models simulate a …

Microfluidic Device For Localized Electroporation, Justin Brooks, Arian Jaberi, Ruiguo Yang

Department of Mechanical and Materials Engineering: Faculty Publications

Electroporation is a common method of transfection due to its relatively low risk and high transfection efficiency. The most common method of electroporation is bulk electroporation which is easily performed on large quantities of cells yet results in variable levels of viability and transfection efficiency across the population. Localized electroporation is an alternative that can be administered on a similar scale but results in much more consistent with higher quality transfection and higher cell viability. This paper discusses the creation and use of a simple and cost-effective device using porous membrane for performing localized electroporation.

Implementation Of Lean And Six Sigma Methodologies To Improve The Operations And Efficiencies Of An Inpatient Pharmacy, Brian Ricks

Medical Engineering Theses

Reducing overhead costs and eliminating process waste are important aspects of any successful organization. Hospital processes are frequently interconnected, with many exchanges of both materials and information between departments. The Inpatient Pharmacy, a key component of any hospital, has hundreds of interactions between departments on any given day, and many processes see the pharmacy acting as producers, consumers, and transporters of goods throughout the hospital. Such a varied role provides broad opportunities for process improvement. Within the broader manufacturing world, the philosophies of Lean and Six Sigma have helped many companies increase their process efficiencies, reduce costs, and increase quality. …

Phase Space Analysis Of Nonlinear Wave Propagation In A Bistable Mechanical Metamaterial With A Defect, Mohammed A. Mohammed, Piyush Grover

Department of Mechanical and Materials Engineering: Faculty Publications

We study the dynamics of solitary waves traveling in a one-dimensional chain of bistable elements in the presence of a local inhomogeneity (`defect'). Numerical simulations reveal that depending upon its initial speed, an incoming solitary wave can get transmitted, captured or reflected upon interaction with the defect. The dynamics are dominated by energy exchange between the wave and a breather mode localized at the defect. We derive a reduced-order two degree of freedom Hamiltonian model for wave-breather interaction, and analyze it using dynamical systems techniques. Lobe dynamics analysis reveals the fine structure of phase space that leads to the complicated …

Structural Health Monitoring Of Fatigue Cracks For Steel Bridges With Wireless Large-Area Strain Sensors, Sdiq Anwar Taher, Jian Li, Jong-Hyun Jeong, Simon Laflamme, Hongki Jo, Caroline Bennett, William N. Collins, Austin Downey

Faculty Publications

This paper presents a field implementation of the structural health monitoring (SHM) of fatigue cracks for steel bridge structures. Steel bridges experience fatigue cracks under repetitive traffic loading, which pose great threats to their structural integrity and can lead to catastrophic failures. Currently, accurate and reliable fatigue crack monitoring for the safety assessment of bridges is still a difficult task. On the other hand, wireless smart sensors have achieved great success in global SHM by enabling long-term modal identifications of civil structures. However, long-term field monitoring of localized damage such as fatigue cracks has been limited due to the lack …

Addressing The "Leaky Pipeline": A Review And Categorisation Of Actions To Recruit And Retain Women In Computing Education, Alina Berry, Susan Mckeever, Brenda Murphy, Sarah Jane Delany

Conference papers

Gender imbalance in computing education is a well-known issue around the world. For example, in the UK and Ireland, less than 20% of the student population in computer science, ICT and related disciplines are women. Similar figures are seen in the labour force in the field across the EU. The term "leaky pipeline"; is often used to describe the lack of retention of women before they progress to senior roles. Numerous initiatives have targeted the problem of the leaky pipeline in recent decades. This paper provides a comprehensive review of initiatives related to techniques used to boost recruitment and improve …

Micro Heat Exchanger To Cool Cerebrospinal Fluid For Brain Injury Treatment, Sachin Dahiya

LSU Master's Theses

Hypothermia is accepted as a method to preserve cells and tissue. Clinical evidence shows that administration of hypothermia could lead to neuroprotection after cardiac arrest. Non-invasive methods such as surface cooling devices, drugs and cold liquid ventilation are available to induce hypothermia. These approaches for achieving hypothermia have not been optimized yet. The surface cooling methods are generally slow and may lead to additional thermal shock to the body. Here, we propose a rapid, selective cooling method for the brain using a micro heat exchanger to cool the cerebrospinal fluids (CSF). We designed and 3D printed a U-type heat exchanger …

Consemblex: A Consensus-Based Transcriptome Assembly Approach That Extends Consemble And Improves Transcriptome Assembly, Richard Mwaba

School of Computing: Dissertations, Theses, and Student Research

An accurate transcriptome is essential to understanding biological systems enabling omics analyses such as gene expression, gene discovery, and gene-regulatory network construction. However, assembling an accurate transcriptome is challenging, especially for organisms without adequate reference genomes or transcriptomes. While several methods for transcriptome assembly with different approaches exist, it is still difficult to establish the most accurate methods. This thesis explores the different transcriptome assembly methods and compares their performances using simulated benchmark transcriptomes with varying complexity. We also introduce ConSemblEX to improve a consensus-based ensemble transcriptome assembler, ConSemble, in three main areas: we provide the ability to use any …

Removal And Recovery Of Ammonia From Simulated Wastewater Using Ti3C2TX Mxene In Flow Electrode Capacitive Deionization, Naqsh E. Mansoor, Luis A. Diaz, Christopher E. Shuck, Yury Gogotsi, Tedd E. Lister, David Estrada

Materials Science and Engineering Faculty Publications and Presentations

Flowing electrode capacitive deionization systems (FE-CDI) have recently garnered attention because of their ability to prevent cross contamination and operate in uninterrupted cycles ad infinitum. Typically, FE-CDI electrodes suffer from low conductivity, reducing deionization performance. Utilization of higher mass loadings to combat this leads to poor rheological properties. Herein, Ti₃C₂T_x MXene was introduced as 1 mg mL⁻¹ slurry electrodes in an FE-CDI system for the removal and recovery of ammonia from simulated agricultural wastewater. The electrode performance was evaluated by operating the FE-CDI system with a feed solution of 500 mg L⁻¹ NH …

Circadiomics: Circadian Omic Web Portal, Muntaha Samad, Forest Agostinelli, Tomoki Sato, Kohei Shimaji, Pierre Baldi

Faculty Publications

Circadian rhythms are a foundational aspect of biology. These rhythms are found at the molecular level in every cell of every living organism and they play a fundamental role in homeostasis and a variety of physiological processes. As a result, biomedical research of circadian rhythms continues to expand at a rapid pace. To support this research, CircadiOmics (http://circadiomics.igb.uci.edu/) is the largest annotated repository and analytic web server for high-throughput omic (e.g. transcriptomic, metabolomic, proteomic) circadian time series experimental data. CircadiOmics contains over 290 experiments and over 100 million individual measurements, across >20 unique tissues/organs, and 11 different species. Users are …

The Effects Of Recycled Waste On Concrete Mixture Properties, Noral Hadbawi

Master of Science in Civil Engineering Theses

Recent years have seen an exponential increase in plastic product consumption worldwide. Manufacturing, and individuals rely on plastics in almost every aspect, as a result, a negative impact on the environment is detected due to the large quantities and low biodegradability of plastic waste. The massive amount of plastic waste and end-of-life tires produced annually required a vast area of landfills, which became a major concern far and wide. To address these issues, an eco-friendly approach consisting of incorporating plastic and rubber waste into engineering applications, such as plastic concrete, and rubberized concrete was proposed. A primary objective of this …

Research Advances Into Mine Safety Science And Engineering, Hani Mitri, Rudrajit Mitra, Ting Ren

Journal of Sustainable Mining

No abstract provided.

Efficiently Searching Extreme Mechanical Properties Via Boundless Objective-Free Exploration And Minimal First-Principles Calculations, Joshua Ojih, Mohammed Al-Fahdi, Alejandro David Rodriguez, Kamal Choudhary, Ming Hu

Faculty Publications

Despite the machine learning (ML) methods have been largely used recently, the predicted materials properties usually cannot exceed the range of original training data. We deployed a boundless objective-free exploration approach to combine traditional ML and density functional theory (DFT) in searching extreme material properties. This combination not only improves the efficiency for screening large-scale materials with minimal DFT inquiry, but also yields properties beyond original training range. We use Stein novelty to recommend outliers and then verify using DFT. Validated data are then added into the training dataset for next round iteration. We test the loop of training-recommendation-validation in …

A Broadband Circularly Polarised Slot Antenna For Ambient Rf Energy Harvesting Applications, Khatereh Nadali, Patrick Mcevoy, Max Ammann

Conference papers

Energy harvesting is a potential source of power for integrating compact low-power and self-sustainable wireless devices in ambient backscatter communication systems and IoT networks. In this paper, an electrically small circularly polarised (CP) slot antenna for harvesting is proposed. The measured CP bandwidth for axial ratio values less than 3 dB is 990 MHz (1.7 GHz to 2.69 GHz), while the measured impedance bandwidth is 1,930 MHz (1.45 GHz to 3.38 GHz). The proposed structure can harvest energy from common radio frequency signal emitters operating in GSM 1800/1900, 3G/LTE 2100, 3G/LTE 2300, 4G/LTE 2500, and 2.4GHz Wi-Fi bands, which makes …

Machine Learning Boosts Performance Of Optical Fiber Sensors: A Case Study For Vector Bending Sensing, Chen Zhu, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

The Spectral Response Produced When a High-Sensitivity Optical Fiber Sensor (OFS) is Subject to an External Perturbation Has Recently Been Shown to Contain Rich Information that Can Be Potentially Exploited for Multi-Dimensional Sensing. in This Article, We Propose the Use of Machine Learning to Directly and Statistically Learn the Relation between the Complex Spectral Response from an OFS and a Measurand of Interest, Without Knowing If There Are Distinct and Tractable Features in the Spectrum. as a Proof-Of-Concept Demonstration, It is Shown that a Simple Heterostructure-Based Device with a Capillary Tube Sandwiched between Two Single-Mode Fibers Without Any Fiber Modification …

Lubrication Performance Of Sunflower Oil Reinforced With Halloysite Clay Nanotubes (Hnt) As Lubricant Additives, Md Abu Sayeed Biswas, Md Mashfiqur Rahman, Javier A. Ortega, Laura Peña-Parás, Demófilo Maldonado-Cortés, José A. González, Ricardo Cantú, Adrián Campos, Eugenio Flores

Mechanical Engineering Faculty Publications

This study evaluates the tribological performance of nanolubricants of a vegetable oil (sunflower oil) reinforced with different concentrations of environmentally-friendly nanoparticles of halloysite clay nanotubes (HNTs). Tribological characterization was performed under different conditions to determine its effect on the nanolubricants’ performance and optimal HNT concentration. The tribological performances under low and high contact pressures were analyzed with a block-on-ring tribometer following the ASTM G-077-05 standard procedure. The extreme pressure (EP) properties of the nanolubricants were determined with a T-02 four-ball tribotester according to the ITeE-PIB Polish method for testing lubricants under scuffing conditions. In addition, the lubrication performance of the …

Credit Card Fraud Detection Using Machine Learning Techniques, Nermin Samy Elhusseny, Shimaa Mohamed Ouf, Amira M. Idrees Ami

Future Computing and Informatics Journal

This is a systematic literature review to reflect the previous studies that dealt with credit card fraud detection and highlight the different machine learning techniques to deal with this problem. Credit cards are now widely utilized daily. The globe has just begun to shift toward financial inclusion, with marginalized people being introduced to the financial sector. As a result of the high volume of e-commerce, there has been a significant increase in credit card fraud. One of the most important parts of today's banking sector is fraud detection. Fraud is one of the most serious concerns in terms of monetary …

Review Of Emerging Approaches Utilizing Alternative Physiological Human Body Fluids In Non- Or Minimally Invasive Glucose Monitoring, Sunghoon Jang, Yu Wang, Andre Jang

Publications and Research

Diabetes can cause various acute as well as long-term complications in patients, with blood sugar levels of over 600 mg/dL, such as blindness, kidney disease, nervous & circulatory system disease, limb amputations, stroke, and cardiovascular disease (CVD). Frequent and regular blood glucose monitoring by diabetics and physicians is an essential step in the management of diabetes. Over the last five decades, there have been numerous attempts to develop viable painless non- or minimally invasive blood glucose monitoring techniques to replace all existing invasive methods, such as home blood glucose monitoring, which usually require drawing a blood sample by piercing the …

Evaluation Of Various Data Acquisition Scenarios For The Retrieval Of Seismic Body Waves From Ambient Noise Seismic Interferometry Technique Via Numerical Modeling, Haitao Cao, Erdi Apatay, Garvie Crane, Boming Wu, Ke Gao, Roohollah Askari

Michigan Tech Publications, Part 1

Seismic interferometry is often proposed as a cost-efficient technique for reservoir monitoring including CO2 sequestration due to its low cost and environmental advantages over active source imaging. Although many studies have demonstrated the ability of seismic interferometry to retrieve surface waves, body wave imaging remains challenging due to their generally lower amplitudes of body waves in seismic interferometry data. An optimum data acquisition strategy can help retrieve low amplitude body waves better, however, rare attempts have been made to evaluate various data acquisition strategies. In this study, we use numerical modeling to examine three different acquisition schemes to evaluate the …

Defining The Hourglass Framework Of Technical And Musical Concepts In Music Technology Education With Two Case Studies In Course Development, Timothy Hsu

Journal of the Association for Technology in Music Instruction

As the field of music technology connects music with a vast array of technical fields, a mature music technology program ideally challenges and develops students that incorporate musical contexts of technical ideas and the technical concepts of musical ideas. The educational challenge of music technology programs lies in the balancing of technical and musical material in the curriculum. In structuring this balance, this paper proposes an hourglass framework, where music technology sits at the neck of two sides, where one side is built on the tradition of Western and non-Western music history, theory, and repertoire, and the other side is …

Cobol Cripples The Mind!: Academia And The Alienation Of Data Processing, Neel Shah

Swarthmore Undergraduate History Journal

This paper writes a social history of the programming language COBOL that focuses on its reception in academia. Through this focus, the paper seeks to understand the contentious relationship between data processing and the academy. In historicizing COBOL, the paper also illuminates the changing nature of the academy-industry-military triangle that was a mainstay of early computing.

A Monte Carlo Framework For Incremental Improvement Of Simulation Fidelity, Damian M. Lyons, James Finocchiaro, Misha Novitzky, Chris Korpela

Faculty Publications

Robot software developed in simulation often does not be- have as expected when deployed because the simulation does not sufficiently represent reality - this is sometimes called the `reality gap' problem. We propose a novel algorithm to address the reality gap by injecting real-world experience into the simulation. It is assumed that the robot program (control policy) is developed using simulation, but subsequently deployed on a real system, and that the program includes a performance objective monitor procedure with scalar output. The proposed approach collects simulation and real world observations and builds conditional probability functions. These are used to generate …

A Monte Carlo Framework For Incremental Improvement Of Simulation Fidelity, Damian Lyons, James Finocchiaro, Misha Novitsky, Chris Korpela

Faculty Publications

Robot software developed in simulation often does not be- have as expected when deployed because the simulation does not sufficiently represent reality - this is sometimes called the `reality gap' problem. We propose a novel algorithm to address the reality gap by injecting real-world experience into the simulation. It is assumed that the robot program (control policy) is developed using simulation, but subsequently deployed on a real system, and that the program includes a performance objective monitor procedure with scalar output. The proposed approach collects simulation and real world observations and builds conditional probability functions. These are used to generate …

A Half- Yearly E-Newsletter Of The Department Of Computer Science And Engineering, Manipal Institute Of Technology - Jul 2022, Ashalatha Nayak Dr.

Faculty work

No abstract provided.

Incorporation Of Torsion Springs In A Knee Exoskeleton For Stance Phase Correction Of Crouch Gait, Katy Baker Bumbard, Harold Herrington, Chung-Hyun Goh, Alwathiqbellah Ibrahim

Mechanical Engineering Faculty Publications and Presentations

Crouch gait is a motor complication that is commonly associated with cerebral palsy, spastic diplegia, stroke, and motor-neurological pathologies, broadly defined as knee flexion in excess of 20° in the gait cycle. Uncorrected crouch gait results in fatigue, joint degradation, and loss of ambulation. Torsion springs have been used in cycling to store energy in the knee flexion to reduce fatigue in the quadriceps during knee extension. SolidWorks was used to design a passive exoskeleton for the knee, incorporating torsion springs of stiffnesses 20,000 N/mm and 30,000 N/mm at the knee joint, to correct four different crouch gaits. OpenSim was …

Santa Clara Magazine, Volume 63 Number 1, Summer 2022, Santa Clara University

Santa Clara Magazine

16 - SHARED DREAMS Meet incoming University President Julie Sullivan, the first layperson and woman selected to lead SCU. Leslie Griffy

20 - BD KNOWS BEST Discovering who you really are, being grateful, and dinosaurs with BD Wong. Lauren Loftus.

22 - SWEPT AWAY Being homeless in Silicon Valley is particularly deadly. One professor explores why so many die in a land of such excess. Leslie Griffy .

28 - ON THE OUTSIDE A first-person account of being wrongly convicted, as told by Arturo Jimenez.

30 - BOOKED AND BUSY The secret behind the Hollywood success of so many Bronco …

A Deep Learning Image Segmentation Model For Agricultural Irrigation System Classification, Ehsan Raei, Ata Akbari Asanjan, Mohammad Reza Nikoo, Mojtaba Sadegh, Shokoufeh Pourshahabi, Jan Franklin Adamowski

Civil Engineering Faculty Publications and Presentations

Effective water management requires a large-scale understanding of agricultural irrigation systems and how they shift in response to various stressors. Here, we leveraged advances in Machine Learning and availability of very high resolution remote sensing imagery to help resolve this long-standing issue. To this end, we developed a deep learning model to classify irrigation systems at a regional scale using remote sensing imagery. After testing different model architectures, hyper parameters, class weights and image sizes, we selected a U-Net architecture with a Resnet-34 backbone for this purpose. We applied transfer learning to increase training efficiency and model performance. We considered …

Spiking Neural Networks And Their Applications: A Review, Kashu Yamazaki, Viet-Khao Vo-Ho, Darshan Bulsara, Ngan Le

Computer Science and Computer Engineering Faculty Publications and Presentations

The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the recent increasing need for the autonomy of machines in the real world, e.g., self-driving vehicles, drones, and collaborative robots, exploitation of deep neural networks in those applications has been actively investigated. In those applications, energy and computational efficiencies are especially important because of the need for real-time responses and the limited energy supply. A promising solution to these previously infeasible applications has recently been given …

Life Cycle Cost Analysis Of High Friction Surface Treatment Applications, Eslam Deef-Allah, Korrenn Broaddus, Magdy Abdelrahman

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Life cycle cost analyses for high friction surface treatment (HFST) applications were executed relying on a Microsoft Excel program developed by the researchers. Calcined bauxite (CB), five CB alternatives, and epoxy binder were utilized in the HFST applications. The aggregates' performances were evaluated through the aggregate image measurement system (AIMS) before and after Micro-Deval polishing. The performance of the HFST applications was evaluated by the dynamic friction tester (DFT) and British pendulum (BP). The major purpose of this program was to present a rational method for converting different input data (project and material specifics) to comparable output data (net present …

Topological Supercavity Resonances In The Finite System, Lujun Huang, Bin Jia, Yan Kei Chiang, Sibo Huang, Chen Shen, Fu Deng, Tianzhi Yang, David A Powell, Yong Li, Andrey E Miroshnichenko

Henry M. Rowan College of Engineering Departmental Research

Acoustic resonant cavities play a vital role in modern acoustical systems. The ultrahigh quality-factor resonances are highly desired for some applications such as high-resolution acoustic sensors and acoustic lasers. Here, a class of supercavity resonances is theoretically proposed and experimentally demonstrated in a coupled acoustic resonator system, arising from the merged bound states in the continuum (BICs) in geometry space. Their topological origin is demonstrated by explicitly calculating their topological charges before and after BIC merging, accompanied by charges annihilation. Compared with other types of BICs, they are robust to the perturbation brought by fabrication imperfection. Moreover, it is found …