Engineering Commons^™

Decoding Human Movement Through Experiments And Simulation, Vishnu Deep Chandran

Dissertations

The ability to walk or move independently plays a decisive role in one's quality of life. This human ability requires complex coordination with several systems, such as the nervous, muscular, skeletal, and sensory organs, to execute movement tasks. Hence, any disorder of these systems from injury, disease, or aging severely affects the ability to walk or move independently. Disabilities that impair movement severely affect the quality of life. Therefore, studying the changes affecting human movement is necessary to improve the lives of individuals with impaired movement. Since human movement is complex and many systems interact in non-intuitive ways, the overarching …

Formation Of Oil Particle Aggregates And The Impact On The Fate Of Oil, Wen Ji

Dissertations

Spilled oil slicks are likely to break into droplets offshore due to wave energy. The fate and transport of such droplets are affected by suspended particles in local marine environment, through forming oil particle aggregates (OPAs). OPA formation is affected by various factors, including the properties of the particles and oil, the mixing energy and duration, etc. To investigate the impact of these factors, lab scale experiments are conducted by using seawater (both artificial and natural) and kaolinite and silica to simulate the formation of OPAs in baffled flasks. In the first experiment, 9 gm and 3 gm spherical silica …

Falcon Neuro: An Event-Based Sensor On The International Space Station, Matthew G. Mcharg, Richard L. Balthazor, Matthew P. Borg, Brian J. Mcreynolds, David H. Howe, Colin J. Maloney, Daniel O'Keefe, Rayomand Bam, Gabriel Wilson, Paras Karki, Alexandre Marcireau, Gregory Cohen

Student Publications

We report on the Falcon neuro event-based sensor (EBS) instrument that is designed to acquire data from lightning and sprite phenomena and is currently operating on the International Space Station. The instrument consists of two independent, identical EBS cameras pointing in two fixed directions, toward the nominal forward direction of flight and toward the nominal Nadir direction. The payload employs stock DAVIS 240C focal plane arrays along with custom-built control and readout electronics to remotely interface with the cameras. To predict the sensor’s ability to effectively record sprites and lightning, we explore temporal response characteristics of the DAVIS 240C and …

Optimizing Build Plate Adhesion Of Polymers In Fused Granule Fabrication Processes, Alex Schroeder, Jason Weaver

Faculty Publications

Perhaps the most crucial element of fused granule fabrication (FGF) is material adhesion; in order to achieve a successful product, the material being printed must adhere to the build plate. For optimal products, the material should only adhere to the build plate until the print is complete, then be easily removable. This paper examines the effects of different build plates, environments, and bonding agents on material adhesion during the FGF process in a CNC mill machine. The force to remove polycarbonate (PC) and polypropylene (PP) from build plates was tested with various bonding agents. Except in one case, the adhesive …

Machine Learning Mosa Monitoring System, Aditya G. Manjunath, Sabahudin Vrtagic, Fatih Dogan, Milan Dordevic, Mileta Zarkovic, Jasmin Kevric, Goran Dobric

Materials Science and Engineering Faculty Research & Creative Works

This research paper deals with the problem of Metal-Oxide Surge Arrester (MOSA) condition monitoring and a new methodology in surge arrester monitoring and diagnostics is presented. A machine learning algorithm (back propagation regression) is used to estimate the non-linearity coefficient of the surge arrester, based on operating voltage and leakage current of the arrester. Using a simulated system, this research investigates the possibility of application and efficiency of machine learning. It is shown that the applied learning algorithm results are competitive with the model results parameters calculated as R2 = 0.999 and mean absolute real error computed as 0.005 which …

A Comparison Of Layer Deposition And Open Molding Of Petg By Fused Pellet Fabrication In An Additive Manufacturing System, Alex Gibson, Jason Weaver

Faculty Publications

Additive manufacturing continues to offer new possibilities in both production and economics. The industry has quickly adopted it to rapidly produce parts that would be difficult or cost preventative otherwise. Recent innovation has expanded its capabilities, however there are still significant limitations. Most AM processes are restricted by materials available, in producing large parts, or by not achieving material deposition speeds to make certain products feasible. In addition, tight tolerances for features and surfaces cannot be produced without substantial post processing. High-speed Fused Pellet Fabrication (FPF) in combination with Hybrid Manufacturing (HM) offers expanded capabilities as additive and subtractive process …

Acoustic Source Localization Using Straight Line Approximations, Swarnadeep Bagchi, Ruairí De Fréin

Conference papers

The short paper extends an acoustic signal delay estimation method to general anechoic scenario using image processing techniques. The technique proposed in this paper localizes acoustic speech sources by creating a matrix of phase versus frequency histograms, where the same phases are stacked in appropriate bins. With larger delays and multiple sources coexisting in the same matrix, it becomes cluttered with activated bins. This results in high intensity spots on the spectrogram, making source discrimination difficult. In this paper, we have employed morphological filtering, chain-coding and straight line approximations to ignore noise and enhance the target signal features. Lastly, Hough …

Reality Analagous Synthetic Dataset Generation With Daylight Variance For Deep Learning Classification, Thomas Lee, Susan Mckeever, Jane Courtney

Conference papers

For the implementation of Autonomously navigating Unmanned Air Vehicles (UAV) in the real world, it must be shown that safe navigation is possible in all real world scenarios. In the case of UAVs powered by Deep Learning algorithms, this is a difficult task to achieve, as the weak point of any trained network is the reduction in predictive capacity when presented with unfamiliar input data. It is possible to train for more use cases, however more data is required for this, requiring time and manpower to acquire. In this work, a potential solution to the manpower issues of exponentially scaling …

Parameter Selection In Fully Homomorphic Encryption Schemes And Fhe Applications, Cavidan Yakupoglu

Dissertations

Quantum computing has been gaining momentum as a result of recent technological advances. Existing cryptographic systems rely on the difficult problems that can be solved by sufficiently powerful quantum computers. As the quantum age approaches, the desire to discover new difficult problems that cannot be solved by quantum systems has increased. Lattice-based cryptography is a prominent tool for the post-quantum era that facilitates the implementation of encryption systems for practical applications.

The Learning with Error (LWE) and Ring-LWE problems introduce new lattice hardness assumptions that have been incorporated into public-key cryptosystems to facilitate the implementation of numerous privacy-enhancing applications. Fully …

A Deep Learning Approach For Airport Runway Identification From Satellite Imagery, Mahmut Gemici

Theses and Dissertations

The United States lacks a comprehensive national database of private Prior Permission Required (PPR) airports. The primary reason such a database does not exist is that there are no federal regulatory obligations for these facilities to have their information re-evaluated or updated by the Federal Aviation Administration (FAA) or the local state Department of Transportation (DOT) once the data has been entered into the system. The often outdated and incorrect information about landing sites presents a serious risk factor in aviation safety. In this thesis, we present a machine learning approach for detecting airport landing sites from Google Earth satellite …

A Network Flow Approach For Constellation Planning, Skylar A. Cox, Greg N. Droge, John H. Humble, Konnor D. Andrews

Space Dynamics Laboratory Publications

A graph-based network flow approach to constellation planning is presented that respects spacecraft resources and mission constraints to arrive at a preliminary operational schedule. The method discretizes task fulfillment opportunity windows into graph nodes and then adds edges based on feasibility of transition between these opportunities, either by slew maneuvers or extended-time task fulfillment during downlink operations. Intelligent graph pruning is applied to improve computation performance and provide a versatile planning capability with a minimal impact on the resulting solution. A network flow formulation allows for a simultaneous search for spacecraft plans using a Mixed Integer Linear Program (MILP). The …

Trade-Off Characterization Between Social And Environmental Impacts Using Agent-Based Models And Life-Cycle Assessment, Joseph C. Leichty, Christopher S. Mabey, Christopher A. Mattson, John L. Salmon, Jason Weaver

Faculty Publications

Meeting the UN’s sustainable development goals requires designers and engineers to solve multi-objective optimization problems involving trade-offs between social, environmental, and economic impacts. This paper presents an approach for designers and engineers to quantify the social and environmental impacts of a product at a population-level and then perform a trade-off analysis between those impacts. In the approach, designers and engineers define the attributes of the product as well as the materials and processes used in the product’s life cycle. Agent-Based Modeling (ABM) tools that have been developed to model the social impacts of products are combined with Life- Cycle Assessment …

Advancing The Necessary Foundations For Empirical Energy Rebound Estimates: A Partial Equilibrium Analysis Framework, Matthew K. Heun, Gregor Semieniuk, Paul E. Brockway

University Faculty Publications and Creative Works

Widespread implementation of energy efficiency is a key greenhouse gas emissions mitigation measure, but rebound can “take back” energy savings. However, conceptual foundations lag behind empirical estimates of the size of rebound. We posit that development of solid analytical frameworks for rebound is hampered by the interdisciplinary nature of the topic, involving both economics and energy analysis. In this paper, we help advance a rigorous analytical framework that starts at the microeconomics of rebound and is approachable for both energy analysts and economists. We include emplacement, substitution, and income rebound effects and link them to macro rebound. Novel graphs show …

Coupled Oscillators: Protein And Acoustics, Angelique N. Mcfarlane

Theses

This work encompassed three different vibrational energy transfer studies of coupled resonators (metal, topological, and microtubule comparison) inspired by the lattices of microtubules from regular and cancerous cells. COMSOL Multiphysics 5.4 was utilized to design the experiment. The simulation starts with an acoustic pressure study to examine the vibrational modes present in coupled cylinders, representing α-, β-tubulin heterodimers. The Metal Study consisted of 3 models (monomer, dimer, and trimer) to choose the correct height (40 mm) and mode (Mode 1) for study. The Topological Study was run to predict and understand how the lattice structure changes over a parametric sweep …

Neonicotinoid Pesticide And Nitrate Mixture Removal And Persistence In Floating Treatment Wetlands, Julia K. Lindgren, Tiffany L. Messer, Daniel N. Miller, Daniel D. Snow, Thomas G. Franti

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Mesocosm and microcosm experiments were conducted to explore the applicability of floating treatment wetlands (FTWs), an ecologically based management technology, to remove neonicotinoid insecticides and nitrate from surface water. The mesocosm experiment evaluated three treatments in triplicate over a 21-d period. Floating treatment wetland mesocosms completely removed nitrate-N over the course of the experiment even when neonicotinoid insecticides were present. At the completion of the experiment, 79.6% of imidacloprid and degradation byproducts and 68.3% of thiamethoxam and degradation byproducts were accounted for in the water column. Approximately 3% of imidacloprid and degradation byproducts and 5.0% of thiamethoxam and degradation byproducts …

Three-Phase Ac Induction Motor Speed Control Based On Variable Speed Driver, Abdelrahim Ahmed Mohammed Ate, Rihab Gafar, Xiuyun Sun, Tahleel Abozead

Makara Journal of Technology

Massive loss of power is a concern for many countries because of the high power consumption of alternating current (AC) motors. The motor speed should be controlled to alleviate this problem and save more power. This paper proposes a simple simulation for a variable speed driver (VSD) to control the three-phase induction motor speed. The VSD consists of three parts. The converter performs from full bridge diodes to convert single-phase AC voltage into direct current voltage, and then this voltage is filtered by the RL filter and transferred to the last part, which is the inverter. The model was simulated …

Evaluation Of Material Request Order To Support Sustainable Construction, Fajar Susilowati, Nur Nahdiah Anggraeni

Makara Journal of Technology

This study was conducted on one of Indonesia’s apartment projects, in which reinforced concrete is the main structure. Based on existing project data, this project experienced a decline in the construction work’s progress, thus reducing the project’s overall progress. This decline occurred because the delivery of concrete reinforcement material was delayed. This study aimed to determine the process of material request order and its relationship with the work implementation, as well as the factors that influenced the delayed arrival of concrete reinforcement material at the project site. The method used in this study was observation and interview. Data were analyzed …

Interactive Software-Based Modeling For Gait Analysis Of Musculoskeletal Structures, Nada Masood Mirza, Adnan Ali, Mohamad Khairi Ishak

Makara Journal of Technology

Software for interactive musculoskeletal modeling applies diverse scientific and technological concepts to stimulate the movement of musculoskeletal figures. Several tools are available for biomechanical analysis in studying motion and capturing the musculoskeletal representation data to facilitate further evaluation for muscle activation. Musculoskeletal software, such as the OpenSim model, animates, and measures in 3D the structural movement of bones, muscles, joints, ligaments, and such structures in the human body. Users apply graphical interfaces to manipulate the movement science for fast and accurate analysis. OpenSim simulation software features a user-friendly interface to allow the proper clinical application in biomechanics and rehabilitation research. …

Multimodal Imaging Of Structural Concrete Using Image Fusion And Deep Learning, Sina Mehdinia

Dissertations and Theses

Concrete structures may be exposed to a variety of loads and environments during their service life. Non-destructive testing (NDT) techniques can be helpful in evaluating the condition of a structure. Imaging provides a visual representation of the interior of concrete and its condition non-destructively. Ground penetrating radar (GPR) and ultrasonic echo array (UEA) using electromagnetic and stress waves, respectively, provide the data that can be used to reconstruct an image. In this PhD dissertation, image reconstruction and fusion algorithms, simulation, and a deep learning model were investigated with the goal to lay the foundation for enhanced imaging applications for concrete. …

Back And Shoulder Exoskeletons For Occupational Use: A Review, Erkan Ozan

Theses

Work-related musculoskeletal disorders (MSDs) account for a large portion of all work-related injuries according to OSHA. Back and shoulder-related disorders make the most of work-related MSDs according to the Bureau of Labor Statistics (BLS). Exoskeletons emerged in recent years with the potential to reduce the risks of work-related musculoskeletal disorders and injuries. Their use in occupational settings is increasing, and exoskeleton designs are rapidly evolving. This paper reviewed recent scientific articles (2015 and after) that evaluated back and shoulder-support passive industrial exoskeletons. The findings of these articles are summarized and analyzed to assess the benefits of passive upper-body exoskeletons by …

Effect Of Alloying Elements On The Compressive Mechanical Properties Of Biomedical Titanium Alloys: A Systematic Review, Syed Faraz Jawed, Chirag Dhirajlal Rabadia, Muhammad Ahmed Khan, Saad Jawaid Khan

Research outputs 2022 to 2026

Due to problems such as the stress-shielding effect, strength-ductility trade-off dilemma, and use of rare-earth, expensive elements with high melting points in Ti alloys, the need for the design of new Ti alloys for biomedical applications has emerged. This article reports the effect of various alloying elements on the compressive mechanical performance of Ti alloys for biomedical applications for the first time as a systematic review following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines on this subject. The search strategy in this systematic review used Scopus, Web of Science, and PubMed databases and searched the articles …

Hey Google: Does Environmental Beliefs And Perceived Privacy Risk Influence Potential User’S Intention To Use A Smart Home System In Indonesia?, Adrian Adhe Elian, Imam Salehudin

Smart City

Automation technology has grown in a rapid pace recently. One of the technology that is growing rapidly right now is the Internet of Things or IoT. IoT consist of many devices, and one of the IoT device that are popular right now is called the smart home device. This smart home device can be use to make the house of the user be smart and can be use to save energy for efficiency for the daily life of the user, such as electricity and water that kan provide a negative impact on the environment if used extensively. This smart home …

Towards Public Vaccination Data Resilience During Natural Disaster Using Blockchain-Based Decentralized Application, Riri Fitri Sari, Mokhammad Rizqi Herdiawan, Muhammad Hamzah, Muhammad Aljundi, Jauzak Hussaini Windiatmaja

Smart City

This paper presents a platform development plan for a public vaccination decentralized data base based on Blockchain technology. Vaccination is a medical practice that allows a human body to produce a specific antibody as a means of developing a preventive measure and reducing the risk of contracting a particular disease. Systematic vaccination data recording is an utmost important system that is required particularly during the Covid-19 pandemic. The recording mechanism should utilize the state-of-the-art information and communication technology (ICT). For faster vaccination data recording, it is common to use digital technology, making the health care process faster thus decreasing time …

Research On Countermeasures To Strengthen Domestic Traffic Safety Based On Risk Control, Hui Lin

World Maritime University Dissertations

No abstract provided.

Supervision Of Intelligent Ship : Analytical Review From The Perspectives Of China Maritime Administration, Zhenhuan Zhang

World Maritime University Dissertations

No abstract provided.

Research On Safe Return To Port Capability Of Large Ships And Its Key Factors, Tian Wu

World Maritime University Dissertations

No abstract provided.

Research On The Detection Technologies Of Ship Exhaust Gas In Emission Control Areas, Binting Tu

World Maritime University Dissertations

No abstract provided.

Modeling Radiation Belt Electrons With Information Theory Informed Neural Networks, Simon Wing, Drew L. Turner, Aleksandr Y. Ukhorskiy, Jay R. Johnson, Thomas Sotirelis, Romina Nikoukar, Giuseppe Romeo

Faculty Publications

An empirical model of radiation belt relativistic electrons (μ = 560–875 MeV G−1 and I = 0.088–0.14 RE G0.5) with average energy ∼1.3 MeV is developed. The model inputs solar wind parameters (velocity, density, interplanetary magnetic field (IMF) |B|, Bz, and By), magnetospheric state parameters (SYM-H and AL), and L*. The model outputs the radiation belt electron phase space density (PSD). The model is operational from L* = 3 to 6.5. The model is constructed with neural networks assisted by information theory. Information theory is used to select the most effective and relevant solar …

Effects Of Various Solvents On Adsorption Of Organics For Porous And Nonporous Quartz Co2 Brine Systems: Implications For Co2 Geo-Storage, Muhammad Ali, Nurudeen Yekeen, Mujahid Ali, Mirhasan Hosseini, Nilanjan Pal, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit

Research outputs 2022 to 2026

The underground geo-storage of carbon dioxide (CO₂) is an essential component of the carbon capture and sequestration value chain. The success of CO₂ containment depends on the wetting state of the rock, which controls the mechanism of fluid flow and distribution. The presence of organic acids in the storage formation introduces a considerable effect on the wettability of the rock / CO₂ / brine system under various temperature and pressure conditions. Despite the previous studies on this topic, the impact of the substrate pores, the rock surface roughness, and the solvents used to prepare the organic …

Decarbonization Of International Shipping Industry And Its Impact On China From The Perspective Of Economic Analysis, Haolin Peng

World Maritime University Dissertations

No abstract provided.