Digital Commons Network^™

Understanding The Behavior Of Upper Subcritical Limit Calculations, Bobbi Riedel

Nuclear Engineering ETDs

This research consists of two comparison studies: the first study employed standard practices to characterize Upper Subcritical Limit (USL) estimation methods. A series of 33 neutronic systems that used standardized nuclear data and benchmark libraries were studied to compare the Whisper, TSURFER, and USLSTATS methods relative to a stochastic USL. USLs were also estimated for these 20 systems using the Whisper 1.1 code. Sensitivity data files were produced using MCNP6.2 and then used with the ORNL TSURFER and USLSTATS methods to estimate USLs for a cross-method USL comparison. The results show that USLs for each of the loosely coupled system …

Evaluation Of The Dynamic Vision Sensor’S Photoreceptor Circuit For Infrared Event-Based Sensing, Zinah M. Alsaad

Electrical and Computer Engineering ETDs

For space surveillance applications, neuromorphic imaging is being studied as it may perform sensing and tracking tasks with less power and downstream datalink demand. The read-out of the event-based camera is made to only be sensitive to changes in the signals it receives from the photodetector, which results in a datastream of events indicating where and when changes in illumination occur. This is in contrast to the conventional framing camera, which produces images by essentially counting the electrons produced by light incident on each pixel’s photodetector. These cameras are commercially available with siliconbased detectors for applications involving visible wavelengths. However, …

Chance Constrained Stochastic Optimal Control Of Discrete Time Linear Stochastic Systems With Applications In Multi-Satellite Operations, Shawn Priore

Electrical and Computer Engineering ETDs

Stochastic disturbances arise in a variety of engineering applications. For tractability, Gaussian disturbances are often assumed. However, this may not always be valid, such as when a disturbance exhibits heavy-tailed or skewed phenomena. As autonomous systems become more ubiquitous, non-Gaussian disturbances will become more common due to the compounding effects of sensing, actuation, and external forces. Despite this, little has been done to develop formal methods that are both computationally efficient and allow for analytical assurances with non-Gaussian disturbances. Addressing convex polytopic set acquisition and non-convex collision avoidance chance constraints with quantile and moment-based reformulations, this dissertation proposes novel stochastic …

Long-Term Human Participation Detection Using A Dynamic Scene Analysis Model, Wenjing Shi

Electrical and Computer Engineering ETDs

The dissertation develops new methods for assessing student participation in long (>1 hour) classroom videos. First, the dissertation introduces the use of multiple image representations based on raw RGB images and AM-FM components to detect specific student groups. Second, a dynamic scene analysis model is developed for tracking under occlusion and variable camera angles. Third, a motion vector projection system identifies instances of students talking.

The proposed methods are validated using digital videos from the Advancing Out-of-school Learning in Mathematics and Engineering (AOLME) project. The proposed methods are shown to provide better group detection, and better talking detection at …

Data-Driven Stochastic Optimal Control Using Hilbert Space Embeddings Of Distributions, Adam J. Thorpe

Electrical and Computer Engineering ETDs

Autonomous systems are increasingly being deployed in complex environments subject to real-world uncertainty. For such systems, it may be exceptionally difficult or even impossible to compute a simple mathematical model of the system--for instance due to the presence of human elements, complex mechanics or system dynamics, or learning-enabled components. Data-driven control has recently gained significant attention in this area, where observations taken from the system evolution are used to compute an implicit representation of the system that is amenable to analysis and control. However, data-driven algorithms for control present new challenges, and require new insights to enable their use. The …

Development Of Models For The Velocity-Pressure Gradient Correlations In Incompressible Wall-Bounded Planar Turbulent Flows Using Multiple Linear Regression, Juampablo E. Heras Rivera

Mechanical Engineering ETDs

In this thesis, the multiple linear regression method is applied to clarify terms and their coefficients in data-driven models for velocity/pressure-gradient (VPG) correlations in the Reynolds stress transport equations. Additionally, a method for developing universal linear models for the VPG correlations with unchanging coefficients when complex conditions arise in a flow is introduced. The generated models were assessed using residual analysis to ensure an appropriate level of accuracy. Data from direct numerical simulation in an incompressible fully-developed turbulent channel flow at Re_tau = 392 with an adverse pressure gradient is used in the study as the data source.

On The Symbolic 3-Plithogenic Rings And Their Algebraic Properties, Othman Al Basheer, Arwa Hajjari, Rasha Dalla

Neutrosophic Sets and Systems

No abstract provided.

Application Of An Empirical Density Law Via Python For Aqueous Plutonium Nitrate Systems, Tara L. Robertson

Nuclear Engineering ETDs

A predictive density tool has been developed to reduce bias and uncertainty in nuclear criticality safety calculations for aqueous plutonium nitrate systems. Multiple methods to calculate the density were reviewed and an empirical method was selected for use. The selected method was then implemented into a Python tool to calculate the solution density and the atom densities for an MCNP6.2 input file.

The Python tool has been validated and verified against the International Handbook of Evaluated Criticality Safety Benchmark Experiments to predict densities within ± 2.6%. The capability to calculate and utilize densities from this tool is a large improvement …

On A Novel Security Scheme For The Encryption And Decryption Of 2×2 Fuzzy Matrices With Rational Entries Based On The Algebra Of Neutrosophic Integers And El-Gamal Crypto-System, Mohammad Abobala, Ali Allouf

Neutrosophic Sets and Systems

No abstract provided.

An Introduction To Symbolic 2-Plithogenic Modules Over Symbolic 2-Plithogenic Rings, Nader Mahmoud Taffach, Khadija Ben Othman

Neutrosophic Sets and Systems

No abstract provided.

An Introduction To Symbolic 2-Plithogenic Vector Spaces Generated From The Fusion Of Symbolic Plithogenic Sets And Vector Spaces, Nader Mahmoud Taffach

Neutrosophic Sets and Systems

No abstract provided.

On Phi-Euler's Function In Refined Neutrosophic Number Theory And The Solutions Of Fermat's Diophantine Equation, Josef Al Jumayel, Maretta Sarkis, Hasan Jafar

Neutrosophic Sets and Systems

No abstract provided.

On Some Algorithms For Solving Different Types Of Symbolic 2-Plithogenic Algebraic Equations, Ahmad Khaldi, Khadija Ben Othman, Oliver Von Shtawzen, Rozina Ali, Sarah Jalal Mosa

Neutrosophic Sets and Systems

No abstract provided.

On The Symbolic 2-Plithogenic Number Theory And Integers, Hamiyet Merkepci, Ammar Rawashdeh

Neutrosophic Sets and Systems

No abstract provided.

Algebraic Approach To Literal Neutrosophic Kumaraswamy Probability Distribution, Mohammad Bisher Zeina, Mohammad Abobala, Ahmad Hatip, Said Broumi, Sarah Jalal Mosa

Neutrosophic Sets and Systems

No abstract provided.

A Review Study On Some Properties Of The Structure Of Neutrosophic Ring, Adel Al-Odhari

Neutrosophic Sets and Systems

No abstract provided.

On The Refined Neutrosophic Real Analysis Based On Refined Neutrosophic Algebraic Ah-Isometry, Mohammad Bisher Zeina, Mohammad Abobala

Neutrosophic Sets and Systems

No abstract provided.

Introduction To Neutrosophic Stochastic Processes, Mohammad Bisher Zeina, Yasin Karmouta

Neutrosophic Sets and Systems

No abstract provided.

On The Roots Of Unity In Several Complex Neutrosophic Rings, Djamal Lhiani, Karla Zayood, Nader Mahmoud Taffach, Katy D. Ahmad

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 54, 2023, Special Issue On Neutrosophic Algebraic Structures, Neutroalgebra & Antialgebra And Superhyperalgebra & Neutrosophic Superhyperalgebra Contributions Of Researchers From The Arab World, Florentin Smarandache, Mohamed Abdel-Basset, Said Broumi, Mohammad Abobala

Neutrosophic Sets and Systems

No abstract provided.

Network Economics-Based Crowdsourcing In Online Social Networks, Natasha S. Kubiak

Electrical and Computer Engineering ETDs

This thesis addresses the challenge of user recruitment by various competing marketing agencies (MAs) in Online Social Networks. A labor economics approach, following the principles of contract theory, is devised to enable MAs to reveal the potential of each participating user to contribute a personalized level of quality and quantity of information to the crowdsourcing process. The MAs objective is to maximize their personal benefit, i.e., total utility obtained, given its budget. The latter optimization problem is formulated as a Generalized Colonel Blotto (GCB) game among the MAs, where each MA aims at incentivizing each user to report its information. …

Improved Experimental Validation Of An Electromagnetic Subcell Model For Narrow Slots With Depth, Michael Anthony Illescas

Electrical and Computer Engineering ETDs

The coupling of electromagnetic (EM) energy into a system can disrupt operation of essential electronics present within it. Metal enclosures are used to shield these systems from potentially harmful electromagnetic interference (EMI). Seams and gaps in such metal enclosures are minimized but unavoidable for reasons such as maintenance and repair. These seams and gaps create an entry point for EM energy to couple into the system. Entry points are often modeled by EM analysts as narrow slots defined by their length, width, and depth. The depth of these slots can become significant compared to the wavelength, introducing resonances associated with …

Multilevel Optimization With Dropout For Neural Networks, Gary Joseph Saavedra

Mathematics & Statistics ETDs

Large neural networks have become ubiquitous in machine learning. Despite their widespread use, the optimization process for training a neural network remains com-putationally expensive and does not necessarily create networks that generalize well to unseen data. In addition, the difficulty of training increases as the size of the neural network grows. In this thesis, we introduce the novel MGDrop and SMGDrop algorithms which use a multigrid optimization scheme with a dropout coarsening operator to train neural networks. In contrast to other standard neural network training schemes, MGDrop explicitly utilizes information from smaller sub-networks which act as approximations of the full …

Effective Utilization Of Battery-Supercapacitor Hybrid Energy Storage Systems In Dc Nano-Grids, Seyyed Ali Ghorashi Khalil Abadi

Electrical and Computer Engineering ETDs

This PhD dissertation proposes novel control strategies to improve the flexibility and reliability of DC nanogrids by utilizing battery-supercapacitor hybrid energy storage systems (HESSs). The dissertation is divided into five sections, each addressing a specific challenge in DC nanogrids and proposing unique control strategies to overcome them. The proposed strategies include an adaptive control system for multiple nanogrids, a distributed power management strategy for a grid-connected DC nano-grid, a model predictive control strategy to improve voltage quality and stability in islanded DC nanogrids, a cloud HESS technology to improve voltage stability in clustered DC nanogrids, and a method of electric …

University College 2023 Apr Self-Study & Documents, Unm Academic Program Review

UNM Academic Program Review

UNM University College APR self-study report and review team report for Spring 2023, fulfilling requirements of the Higher Learning Commission.

University College Apr Spring 2023 Self-Study Report & Documents, Unm Academic Program Review

UNM Academic Program Review

University College APR self-study report, review team report, response report, and initial action plan for Spring 2022, fulfilling requirements of the Higher Learning Commission. UC includes the following: Liberal Arts & Integrative Studies, ROTC, Academic Communities, and Pre-Health Professions.

Nanoscience And Microsystems Engineering 2023 Apr Self-Study & Documents, Unm Academic Program Review

UNM Academic Program Review

UNM Nanoscience & Microsystems Engineering APR self-study report and review team report for Spring 2023, fulfilling requirements of the Higher Learning Commission.

The Midas Touch: Atuahene's "Stategraft" And Unregulated Artificial Intelligence, Sonia Gipson Rankin

Faculty Scholarship

Professor Bernadette Atuahene’s article, A Theory of Stategraft, develops the new theoretical conception of “stategraft.” Professor Atuahene notes that when state agents have engaged in practices of transferring property from persons to the state in violation of the state’s own laws or basic human rights, it sits at the nexus of illegal behavior and revenue-generating activity for the government. Although there are countless instances of “stategraft,” one particularly salient example is when the state uses artificial intelligence to illegally extract resources from people. This Essay will apply stategraft to an algorithm implemented in Michigan that falsely accused recipients of unemployment …

The Role Of Citizen Science In Ecosystem Management: A Case Study Of The Middle Rio Grande Bosque Ecosystem Monitoring Program, Hannah Miller

Water Resources Professional Project Reports

Rapid advances in technology, especially smart phones, have changed citizen science around the world. Citizen science-generated data are growing exponentially, so there is increasing interest about what is happening with all this data. Some research suggests that governmental agencies are not using citizen science data to make ecosystem management decisions, although other studies contradict this finding. Regionally, the Middle Rio Grande bosque ecosystem extends for 162 miles along the Rio Grande in New Mexico. The Bosque Ecosystem Monitoring Program, or BEMP, was founded in 1996 following the efforts of the Bosque Initiative and the development of the Bosque Biological Management …

Securing Environmental Flows For The Rio Grande Silvery Minnow, Ashley Veihl

Water Resources Professional Project Reports

Since 1997, the Bureau of Reclamation (Bureau) has been leasing water to provide habitat for the now-endangered Rio Grande silvery minnow (Minnow). The majority of leased water comes from the San-Juan Chama project, a trans-basin water delivery system that was originally implemented to secure flows to the Rio Grande for municipal and agricultural use. Limitations on water storage within reservoirs incentivize contractors that are allocated more surface water than they can use to lease the extra quantity. It is through this water leasing market that the Bureau has established the largest environmental flow program in the state of New Mexico. …