Digital Commons Network^™

Filter-Based Fault Detection And Isolation In Distributed Parameter Systems Modeled By Parabolic Partial Differential Equations, Hasan Ferdowsi, Jia Cai, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper covers model-based fault detection and isolation for linear and nonlinear distributed parameter systems (DPS). The first part mainly deals with actuator, sensor and state fault detection and isolation for a class of DPS represented by a set of coupled linear partial differential equations (PDE). A filter based observer is designed based on the linear PDE representation using which a detection residual is generated. A fault is detected when the magnitude of the detection residual exceeds a detection threshold. Upon detection, several isolation estimators are designed using filters whose output residuals are compared with predefined isolation thresholds. A fault …

Dipole-Moment-Based Reciprocity For Practical Desensitization Identification And Mitigation, Shengxuan Xia, Hanfeng Wang, Yansheng Wang, Zhonghua Wu, Chulsoon Hwang, Jun Fan

Electrical and Computer Engineering Faculty Research & Creative Works

Radio frequency interference can degrade the receiving sensitivity of antennas. The interference is usually caused by certain coupling structures, such as layouts without adequate grounding for the radio frequency signal return path. Those structures can be modeled as a set of equivalent dipole moments when they are electrically small. Herein, the dipole moment model-based coupling framework is applied to a practical cellphone design case to devise an engineering solution. The coupling framework incorporates dipole moments as radiation sources and a coupling model based on the reciprocity theorem. Unfortunately, near-field scan probes often lack access to all locations, owing to the …

Extended Kalman Filter Based Resilient Formation Tracking Control Of Multiple Unmanned Vehicles Via Game-Theoretical Reinforcement Learning, Lei Xue, Bei Ma, Jian Liu, Chaoxu Mu, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

In This Paper, We Discuss the Resilient Formation Tracking Control Problem of Multiple Unmanned Vehicles (MUV). a Dynamic Leader-Follower Distributed Control Structure is Utilized to Optimize the Performance of the Formation Tracking. for the Follower of the MUV, the Leader is a Cooperative Unmanned Vehicle, and the Target of Formation Tracking is a Non-Cooperative Unmanned Vehicle with a Nonlinear Trajectory. Therefore, an Extended Kalman Filter (EKF) Observer is Designed to Estimate the State of the Target. Then the Leader of the MUV is Adjusted Dynamically According to the State of the Target. in Order to Describe the Interactions between the …

Advances In Fiber-Optic Extrinsic Fabry-Perot Interferometric Physical And Mechanical Sensors: A Review, Chen Zhu, Hongkun Zheng, Lingmei Ma, Zheyi Yao, Bo Liu, Jie Huang, Yunjiang Rao

Electrical and Computer Engineering Faculty Research & Creative Works

Fabry-Perot Interferometers Have Found a Multitude of Scientific and Industrial Applications Ranging from Gravitational Wave Detection, High-Resolution Spectroscopy, and Optical Filters to Quantum Optomechanics. Integrated with Optical Fiber Waveguide Technology, the Fiber-Optic Fabry-Perot Interferometers Have Emerged as a Unique Candidate for High-Sensitivity Sensing and Have Undergone Tremendous Growth and Advancement in the Past Two Decades with their Successful Applications in an Expansive Range of Fields. the Extrinsic Cavity-Based Devices, I.e., the Fiber-Optic Extrinsic Fabry-Perot Interferometers (EFPIs), Enable Great Flexibility in the Design of the Sensitive Fabry-Perot Cavity Combined with State-Of-The-Art Micromachining and Conventional Mechanical Fabrication, Leading to the Development of …

Principles Of Lexicographic Description For Word Formation Synthesis Terminology (On The Material Of Verbs Of Sound In The Russian Language), Irina Ivliyeva

Arts, Languages and Philosophy Faculty Research & Creative Works

No abstract provided.

Magnetic Inversion Approach For Modeling Data Acquired Across Faults: Various Environmental Cases Studies, Khalid S. Essa, Eid R. Abo-Ezz, Neil Lennart Anderson, Omar A. Gomaa, Mahmoud Elhussein

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

An effective extension to the particle swarm optimizer scheme has been developed to visualize and modelize robustly magnetic data acquired across vertical or dipping faults. This method can be applied to magnetic data sets that support various investigations, including mining, fault hazards assessment, and hydrocarbon exploration. The inversion algorithm is established depending on the second horizontal derivative technique and the particle swarm optimizer algorithm and was utilized for multi-source models. Herein, the inversion method is applied to three synthetic models (a dipping fault model contaminated without and with different Gaussian noises levels, a dipping fault model affected by regional anomaly, …

The Influence Of Tropical Atlantic Sea-Surface Temperatures And The North Atlantic Subtropical High During The Maya Droughts, Derek K. Gibson, Jonathan Obrist-Farner, Brooke A. Birkett, Jason H. Curtis, Melissa A. Berke, Peter M.J. Douglas, Prudence M. Rice, Jeremy Maurer

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

The frequency and duration of Late-Holocene hydrologic extremes in northern Guatemala were investigated using multiple sedimentological and geochemical proxies preserved in a sediment core collected from Lake Petén Itzá. A general trend of increasing aridity in the Maya Lowlands during the past 2000 years was punctuated by several multidecadal- to centennial-scale drought events recorded in the Petén Itzá sediments. In particular, the period spanning the Maya Terminal Classic Period and the Medieval Climate Anomaly (MCA), between 800 and 1300 CE, was marked by several extreme droughts and included the driest conditions of the past 2000 years between 950 and 1100 …

Geo-Distributed Multi-Tier Workload Migration Over Multi-Timescale Electricity Markets, Sourav Kanti Addya, Anurag Satpathy, Bishakh Chandra Ghosh, Sandip Chakraborty, Soumya K. Ghosh, Sajal K. Das

Computer Science Faculty Research & Creative Works

Virtual machine (VM) migration enables cloud service providers (CSPs) to balance workload, perform zero-downtime maintenance, and reduce applications' power consumption and response time. Migrating a VM consumes energy at the source, destination, and backbone networks, i.e., intermediate routers and switches, especially in a Geo-distributed setting. In this context, we propose a VM migration model called Low Energy Application Workload Migration (LEAWM) aimed at reducing the per-bit migration cost in migrating VMs over Geo-distributed clouds. With a Geo-distributed cloud connected through multiple Internet Service Providers (ISPs), we develop an approach to find out the migration path across ISPs leading to the …

Robust Federated Learning Against Backdoor Attackers, Priyesh Ranjan, Ashish Gupta, Federico Corò, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning is a Privacy-Preserving Alter-Native for Distributed Learning with No Involvement of Data Transfer. as the Server Does Not Have Any Control on Clients' Actions, Some Adversaries May Participate in Learning to Introduce Corruption into the Underlying Model. Backdoor Attacker is One Such Adversary Who Injects a Trigger Pattern into the Data to Manipulate the Model Outcomes on a Specific Sub-Task. This Work Aims to Identify Backdoor Attackers and to Mitigate their Effects by Isolating their Weight Updates. Leveraging the Correlation between Clients' Gradients, We Propose Two Graph Theoretic Algorithms to Separate Out Attackers from the Benign Clients. under …

Identifying Design-Build Decision-Making Factors And Providing Future Research Guidelines: Social Network And Association Rule Analysis, Ramy Khalef, Islam H. El-Adaway

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

There is a dire need to rebuild existing infrastructure with strategic and efficient methods. Design-build (DB) becomes a potential solution that provides fast-tracked delivery as a more time and cost-efficient project delivery method. Past research studied factors influencing DB but without providing a holistic analytic approach. This paper fills this knowledge gap. First, a systematic literature review is performed using the preferred reporting items for systematic reviews and meta-analyses techniques, and a set of factors affecting DB projects are then identified and clustered, using k-means clustering, based on the whole literature discussions. Second, a graph theory approach, social network analysis …

Representative Functional Connectivity Learning For Multiple Clinical Groups In Alzheimer's Disease, Lu Zhang, Xiaowei Yu, Yanjun Lyu, Tianming Liu, Dajiang Zhu

Computer Science Faculty Research & Creative Works

Mild cognitive impairment (MCI) is a high-risk dementia condition which progresses to probable Alzheimer's disease (AD) at approximately 10% to 15% per year. Characterization of group-level differences between two subtypes of MCI - stable MCI (sMCI) and progressive MCI (pMCI) is the key step to understand the mechanisms of MCI progression and enable possible delay of transition from MCI to AD. Functional connectivity (FC) is considered as a promising way to study MCI progression since which may show alterations even in preclinical stages and provide substrates for AD progression. However, the representative FC patterns during AD development for different clinical …

The Application Of Statistical Modeling To Identify Genetic Associations With Mild Traumatic Brain Injury Outcomes, Caroline Schott

Masters Theses

"Traumatic brain injury (TBI) is a growing health concern, with millions of TBI diagnoses in the United States each year. The vast majority of TBI diagnoses are mild traumatic brain injuries (mTBI), which can be challenging to manage due to variation in symptoms and outcomes. Most individuals with mTBI successfully recover quickly, but a small subset has a delayed recovery. Although the factors that contribute to this variation in recovery are not clearly understood, it is possible that genetic differences may play a role. Very few studies have investigated the association between single nucleotide polymorphisms (SNPs) with mTBI outcomes and …

Application Of Nitrate To An Anaerobic Subsurface Bioremediation, Cassie Marie Roberts

Masters Theses

"The highly contaminated subsurface matrix of the Baird and McGuire Superfund site is currently threatening the health and safety of the surrounding environment of Holbrook, MA. Contaminants of significant concern due to high concentration are inorganic arsenite and petroleum hydrocarbons, such as naphthalene. Parsons Corporation and the Massachusetts Department of Environmental Protection have implemented a bioremediation pilot to attempt to degrade the hydrocarbons and arsenic with the application of nitrate. The nitrate would act as an electron acceptor for biodegradation of the hydrocarbon contaminants, produce nitrite that would oxidize reduced iron, and iron oxides would sequester arsenic. Preliminary data showed …

Evaluation Of Mesenchymal Stem Cells In Autoimmune Disease: A Systematic Review And Meta-Analysis, Hailey Nicole Swain

Masters Theses

"Mesenchymal stem cells, also known as multipotential stem/progenitor cells and mesenchymal stem/progenitor cells, are denoted by the acronym MSCs. MSCs can differentiate into multiple lineages from different germ layers in vitro, and in limited situations, in vivo. MSCs have broad anti-inflammatory and immune-modulatory properties, which is the greatest focus of MSCs in clinical testing. Despite their promise and use in over 950 clinical trials, pivotal questions remain unanswered. Recent clinical trials have demonstrated that when MSCs are harvested from autoimmune patients, they show a reduction in their therapeutic efficacy in comparison to MSCs from a healthy person. Identifying quality MSCs …

Environmental Dna Metabarcoding As A Tool For Fish Community Assessment In Wetlands, Eric Ludwig

Masters Theses

"Environmental DNA (eDNA) metabarcoding is a genetically based method of assessing biodiversity in aquatic environments. While the efficacy of eDNA surveys has been well documented in riverine and marine systems, it has been relatively underemployed in freshwater wetland environments. In this study, we conducted an eDNA metabarcoding survey of fish diversity and its seasonal variation in a wetland along the Mississippi River in the Missouri Bootheel. Samples were collected from both permanent and seasonal water bodies including oxbow lakes, a shallow, man-made lake, a ditch, and a slough. For each of the 28 sites in this study, three water samples …

Sentiment Strength And Topic Recognition In Sentiment Analysis, Esi A.R. Adeborna

Masters Theses

"Current sentiment analysis methods focus on determining the sentiment polarities (negative, neutral or positive) in users’ sentiments. However, in order to correctly classify users’ sentiments into their right polarities, the strengths of these sentiments must be considered. In addition to classifying users’ sentiments into their correct polarities, it is important to determine the sources and topics under which users’ sentiments fall. Sentiment strength helps as to understand the levels of customer satisfaction toward products and services. Sentiment topics on the other hand, helps to determine the specific product/service areas associated with user sentiments. This paper proposes two sentiment analysis approaches. …

Scalable And Continuous Fabrication Of Dendrimer Based Gene And Protein Delivery Systems, Joseph Johnston

Masters Theses

"Gene and protein therapeutics play critical roles in the drug market and represent the future of biopharmaceuticals. Polymeric nanoparticle-based gene/protein delivery systems are promising owing to their ability to protect the cargo from degradation, improving intracellular delivery and transfection efficiency as well as abundant sources and flexibility to be modified. Yet the successful industrialized production and clinical application of polymeric nanoparticle-based delivery systems have long been limited by unsatisfied delivery efficiency and the lack of reproducible and scalable methods for the preparation of uniform nanoparticles with good batch to batch consistency. To address the unsatisfied efficacy and difficulty in scale-up …

Prediction And Root-Cause Analysis For Smart Speaker Intentional Electromagnetic Interference Attacks, Tanner Fokkens

Masters Theses

"Smart home and Internet of Things (IoT) devices have become ubiquitous in homes over the past decade. The smart speaker itself is often the device that interfaces all these devices together. Because of this, the smart speaker can become a point of attack for someone trying to exploit or hack into the smart home devices. In the past few years, it was discovered that smart speakers with microwave electromechanical system (MEMS) microphones are susceptible to intentional electromagnetic interference (I-EMI) attacks by modulating an audio command to a high-frequency carrier signal. This attack allows for command recognition for long-distances and smart …

Improved Decap Model And Placement Optimization Algorithm For Power Distribution Network Design, Jack Juang

Masters Theses

"Decoupling capacitors (decaps) are used in power distribution network (PDN) design to act as a low impedance return path for noise and act as a local source of charge when required by integrated circuits (IC). For placement of decaps, which can number even to the hundreds, many algorithms have been proposed including genetic algorithms (GA), iterative algorithm, and machine learning methods.

One limitation of iterative decap placement algorithms (adding one decap at a time) is how the construction of the algorithm affects the form of the final solution. For example, if the reward function (used in GA and machine learning …

A Hybrid Framework For Critical Infrastructures Interdependency Modeling, Simulation, And Analysis, David Corder Hinton

Masters Theses

"Flow system models, also known as flow network models, encompass vastly complex, ever-expanding problem sets which comprise the foundation for maintenance, operation, and improvement of critical infrastructures around the world. The stable operation of these vast critical infrastructures is fundamental to the continued advancement of modern society. These infrastructures are tightly interdependent and vulnerable to interruption by both natural circumstance and malicious targeting. This necessitates representation of such critical infrastructures and their multi-domain interdependencies in defense focused constructive and virtual simulation environments as a matter of national interest and security. By breadth exploration of the problem space, this work body …

Flight Software Development For A University-Class Microsatellite Mission, Yumeka Nagano

Masters Theses

"The purpose of this research is to present the software development process used by the Command and Data Handling (C&DH) subsystem as a part of a microsatellite mission underway at the Missouri University of Science and Technology. The mission's objective is to evaluate the performance of an innovative cold gas propulsion system for use in formation flying applications and the incorporation of a stereoscopic imaging sensor used to measure the satellite pair's relative position and velocity vectors in real time. C&DH uses a Raspberry Pi 3 Model B as the flight computer running a Linux environment, and the flight code …

Development And Testing Of A Hyperbaric Aerodynamic Levitator For Containerless Materials Research, Sydney Elizabeth Boland

Masters Theses

"This research focused on the development and testing of a hyperbaric aerodynamic levitator for container less materials research of specimens at temperatures greater than 2000°C and pressures up to 10.3 MPa (1500 psi). The effect of specimen size, specimen density, pressure, and flow rate on the levitation behavior was studied. Lightweight specimens demonstrated two stable levitation regimes that were speculated to be associated with a change in the turbulent wake structure. The hyperbaric aerodynamic levitator was also used to determine the effect of pressure on the heat transfer by studying the melting behavior of a levitated 3.0 mm diameter alumina …

Designing Exterior Lighting For Safety And Comfort While Minimizing Light Pollution, Energy Consumption, And Cost, Stephen Michael Simmons

Masters Theses

"Artificial light at night brings many benefits to society. However, these benefits do not come without costs. One environmental issue that is often overlooked in the design of public spaces and infrastructure is light pollution. At the expense of large amounts of energy, light pollution causes numerous harmful effects on human health, ecosystems, and the night sky. Today, the problem is becoming more widespread, especially with the increasing use of bright, white LED luminaires. Thus, it is imperative for designers and engineers to create smarter lighting designs that not only allow for safety and comfort at night but also promote …

A Real-Time Microwave Camera Using Zero-Bias Diode Detector, Liang Liu

Masters Theses

"This thesis presents the design of a microwave camera that utilizes a two-dimensional array of elliptical slot antennas and diode detectors to quickly and accurately locate radiation sources. Unlike traditional scanning techniques like ESM and holography, which rely on mechanical scanning, require a long measurement time, and are prone to mechanical errors, the microwave camera operates quickly and efficiently by using electronic switching to access the output of each detector. This results in a more precise and efficient means of locating radiation sources'--Abstract, p. iii

Implementing Effective University - Level Small Satellite Assembly, Integration, And Testing Procedures, Tyler Patrick Hoover

Masters Theses

"As applications for satellite assets grow within government and commercial spheres, demand for aerospace engineers and related technicians has pushed universities to develop graduates with relevant knowledge in the field. As such, universities began to grow university satellite programs to give members hands-on experience and a background of working on satellite systems before entering the workforce.

The M-SAT team at Missouri University of Science and Technology, along with contributions and assistance from the Air Force Research Laboratory and NASA, are progressing their first satellite mission through assembly, integration, and testing (AIT) development. This document serves to give a background into …

A Network Of Low-Cost Multi-Pollutant Air Quality Sensors For Evaluating Fine-Scale Exposure Disparity In Twin Cities, Mn, P M Varuni Abhayaratne

Masters Theses

"Poor air quality is detrimental to health and is a leading environmental risk factor for early death globally. The massive scale of urbanization and population growth has led urban air quality to become a global concern as the release of air pollutants into the atmosphere continues to increase. Air quality has traditionally been monitored using reference-grade monitoring stations that are expensive and sparsely distributed. Low-cost sensors can complement existing regulatory networks to provide more spatial detail, capturing fine-scale variations. This study investigates spatiotemporal pollutant patterns, exposure disparities and environmental justice using data collected from a two-year (2019-2021) deployment of a …

Tropospheric Correction For Insar Using Machine Learning, Ngo Hi Kenny Yue

Masters Theses

"Interferometric Synthetic Aperture Radar (InSAR) is a popular technique for studying Earth's surface deformation caused by phenomena like earthquakes and subsidence. However, its accuracy is limited by tropospheric delays caused by water vapor in the atmosphere. This limitation can be overcome by using methods that correct for tropospheric noise, such as statistical, empirical, and predictive approaches. This study explores the potential of using machine learning algorithms to predict the zenith total delay caused by tropospheric effects in InSAR measurements. The study employs two different machine learning algorithms, random forest and neural networks, to learn the relationship between numerical weather prediction …

Optimizing The Placement Of Multiple Uav--Lidar Units Under Road Priority And Resolution Requirements, Zachary Michael Osterwisch

Masters Theses

"Real-time road traffic information is crucial for intelligent transportation systems (ITS) applications, like traffic navigation or emergency response management, but acquiring such data is tremendously challenging in practice because of the high costs and inefficient placement of sensors. Some modern ITS applications contribute to this problem by equipping vehicles with multiple light detection and ranging (LiDAR) sensors, which are expensive and gather data inefficiently; one solution that avoids vehicle-mounted LiDAR acquisition has been to install elevated LiDAR instruments along roadways, but this approach remains unrefined. The eventual development of sixth-generation (6G) wireless communication will enable new, creative solutions to solve …

Tailoring A System Engineering And Management Plan For A University Satellite Team, Jacob D. Anderson

Masters Theses

"A Systems Engineering and Management Plan (SEMP) helps enable a successful engineering project or team. All university teams working on satellite development encounter similar obstacles that are not commonly seen in industry. As a result, university teams must determine new approaches to solve these unique and difficult problems. A SEMP can mitigate risks, solve problems, and provide streamlined solutions. A modified SEMP is proposed along with guidance for implementing it into a new team and an existing team.

The adopted SEMP provides a road map for the technical execution and program management of a university team. The SEMP should be …

Rapid-Throughput Analysis Of 1,4-Dioxane In Plants By Centrifugal Sampling And Phytoforensic Analysis For Site Delineation And Assessing Enhanced Rhizodegradation, Anthony Eberechukwu Oha

Masters Theses

"Owing to its broad use and environmental persistence, 1,4-dioxane (dioxane) poses a notable threat to public health and is recalcitrant to traditional remedial systems. Dioxane moves readily in an aqueous environment and is an emerging contaminant in drinking water, surface water, groundwater, and wastewater. The extent of dioxane in the biosphere is also difficult to delineate, particularly in the subsurface. Phytoremediation has demonstrated the potential for dioxane groundwater remediation. Recent findings indicate that plant-microbial symbiosis may be more advantageous for limiting potential transport and transfer into plant tissues and the atmosphere. Bioaugmentation of the rhizosphere paired with soil amendments has …