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Articles 33421 - 33450 of 302576
Full-Text Articles in Physical Sciences and Mathematics
Double Cone Flow Field Reconstruction Between Mach 4 And 12 Using Machine Learning Techniques, Trevor A. Toros
Double Cone Flow Field Reconstruction Between Mach 4 And 12 Using Machine Learning Techniques, Trevor A. Toros
Theses and Dissertations
No abstract provided.
Leveraging Machine Learning For Large Scale Analysis Of Publicly-Available Data For Gnss Interference Events, David K. Stamper
Leveraging Machine Learning For Large Scale Analysis Of Publicly-Available Data For Gnss Interference Events, David K. Stamper
Theses and Dissertations
This research documents architecture and implementation of an enhanced interference detection and classification analysis system, using both a database and storage solution utilizing machine learning algorithms to detect changes in Carrier-to-Noise strength over multiple GNSS sites. The system uses publicly-available government supported receivers to detect interference, and built using FOSS packaged as a programming library through Python. Two algorithms are discussed in terms of enhancing interference detection using both non-machine learning and machine learning approaches. Two algorithms are also discussed which are used for classification of events. In addition, an approach to Large Scale data analytics is demonstrated via a …
Bug Triage Automation Approaches: A Comparative Study, Dr Khaled Nagaty, Madonna Mayez, Khaled Ahmed Nagay Dr.
Bug Triage Automation Approaches: A Comparative Study, Dr Khaled Nagaty, Madonna Mayez, Khaled Ahmed Nagay Dr.
Computer Science
Bug triage is an essential task in the software maintenance phase. It is the process of assigning a developer (fixer) to bug report. Triaging process is performed by the triager, who has to analyze developers’ profiles and bug reports for the purpose of making a suitable assignment. Manual assignment consumes time, financial resources and human resources; to get a high-quality software with minimum cost, automating this process is necessary. Previous researchers tackled this problem as a classification problem from different perspectives, either information retrieval approach or machine learning algorithms, some researchers handled it as an optimization problem using optimization and …
One More Physics-Based Explanation For Rectified Linear Neurons, Jonatan Contreras, Martine Ceberio, Vladik Kreinovich
One More Physics-Based Explanation For Rectified Linear Neurons, Jonatan Contreras, Martine Ceberio, Vladik Kreinovich
Departmental Technical Reports (CS)
The main idea behind artificial neural networks is to simulate how data is processed in the data processing devoice that has been optimized by million-years natural selection -- our brain. Such networks are indeed very successful, but interestingly, the most recent successes came when researchers replaces the original biology-motivated sigmoid activation function with a completely different one -- known as rectified linear function. In this paper, we explain that this somewhat unexpected function actually naturally appears in physics-based data processing.
A Pair Of Sub-Neptunes Transiting The Bright K-Dwarf Toi-1064 Characterized With Cheops, T. G. Wilson, E. Goffo, Y. Alibert, D. Gandolfi, A. Bonfanti, C. M. Persson, A. Collier Cameron, M. Fridlund, L. Fossati, J. Korth, W. Benz, A. Deline, H.-G. Florén, P. Guterman, V. Adibekyan, M. J. Hooton, S. Hoyer, A. Leleu, A. J. Mustill, S. Salmon, S. G. Sousa, O. Suarez, L. Abe, A. Agabi, R. Alonso, G. Anglada, J. Asquier, T. Bárczy, D. Barrado Navascues, S. C. C. Barros, W. Baumjohann, M. Beck, T. Beck, N. Billot, X. Bonfils, A. Brandeker, C. Broeg, E. M. Bryant, M. R. Burleigh, M. Buttu, J. Cabrera, S. Charnoz, D. R. Ciardi, R. Cloutier, W. D. Cochran, K. A. Collins, K. D. Colón, N. Crouzet, S. Csizmadia, M. B. Davies, M. Deleuil, L. Delrez, O. Demangeon, B.-O. Demory, D. Dragomir, G. Dransfield, D. Ehrenreich, A. Erikson, A. Fortier, T. Gan, S. Gill, M. Gillon, C. L. Gnilka, N. Grieves, S. Grziwa, M. Güdel, T. Guillot, J. Haldemann, K. Heng, K. Horne, S. B. Howell, K. G. Isaak, J. M. Jenkins, Eric L.N. Jensen, L. Kiss, G. Lacedelli, K. Lam, J. Laskar, D. W. Latham, A. Lecavelier Des Etangs, M. Lendl, K. V. Lester, A. M. Levine, J. Livingston, C. Lovis, R. Luque, D. Magrin, W. Marie-Sainte, P. F. L. Maxted, A. W. Mayo, B. Mclean, M. Mecina, D. Mékarnia, V. Nascimbeni, L. D. Nielsen, G. Olofsson, H. P. Osborn, H. L. M. Osborne, R. Ottensamer, I. Pagano, E. Pallé, G. Peter, G. Piotto, D. Pollacco, D. Queloz, R. Ragazzoni, N. Rando, H. Rauer, S. Redfield, I. Ribas, G. R. Ricker, M. Rieder, N. C. Santos, G. Scandariato, F.-X. Schmider, R. P. Schwarz, N. J. Scott, S. Seager, D. Ségransan, L. M. Serrano, A. E. Simon, A. M. S. Smith, M. Steller, C. Stockdale, G. Szabó, N. Thomas, E. B. Ting, A. H. M. J. Triaud, S. Udry, V. Van Eylen, V. Van Grootel, R. K. Vanderspek, V. Viotto, N. Walton, J. N. Winn
A Pair Of Sub-Neptunes Transiting The Bright K-Dwarf Toi-1064 Characterized With Cheops, T. G. Wilson, E. Goffo, Y. Alibert, D. Gandolfi, A. Bonfanti, C. M. Persson, A. Collier Cameron, M. Fridlund, L. Fossati, J. Korth, W. Benz, A. Deline, H.-G. Florén, P. Guterman, V. Adibekyan, M. J. Hooton, S. Hoyer, A. Leleu, A. J. Mustill, S. Salmon, S. G. Sousa, O. Suarez, L. Abe, A. Agabi, R. Alonso, G. Anglada, J. Asquier, T. Bárczy, D. Barrado Navascues, S. C. C. Barros, W. Baumjohann, M. Beck, T. Beck, N. Billot, X. Bonfils, A. Brandeker, C. Broeg, E. M. Bryant, M. R. Burleigh, M. Buttu, J. Cabrera, S. Charnoz, D. R. Ciardi, R. Cloutier, W. D. Cochran, K. A. Collins, K. D. Colón, N. Crouzet, S. Csizmadia, M. B. Davies, M. Deleuil, L. Delrez, O. Demangeon, B.-O. Demory, D. Dragomir, G. Dransfield, D. Ehrenreich, A. Erikson, A. Fortier, T. Gan, S. Gill, M. Gillon, C. L. Gnilka, N. Grieves, S. Grziwa, M. Güdel, T. Guillot, J. Haldemann, K. Heng, K. Horne, S. B. Howell, K. G. Isaak, J. M. Jenkins, Eric L.N. Jensen, L. Kiss, G. Lacedelli, K. Lam, J. Laskar, D. W. Latham, A. Lecavelier Des Etangs, M. Lendl, K. V. Lester, A. M. Levine, J. Livingston, C. Lovis, R. Luque, D. Magrin, W. Marie-Sainte, P. F. L. Maxted, A. W. Mayo, B. Mclean, M. Mecina, D. Mékarnia, V. Nascimbeni, L. D. Nielsen, G. Olofsson, H. P. Osborn, H. L. M. Osborne, R. Ottensamer, I. Pagano, E. Pallé, G. Peter, G. Piotto, D. Pollacco, D. Queloz, R. Ragazzoni, N. Rando, H. Rauer, S. Redfield, I. Ribas, G. R. Ricker, M. Rieder, N. C. Santos, G. Scandariato, F.-X. Schmider, R. P. Schwarz, N. J. Scott, S. Seager, D. Ségransan, L. M. Serrano, A. E. Simon, A. M. S. Smith, M. Steller, C. Stockdale, G. Szabó, N. Thomas, E. B. Ting, A. H. M. J. Triaud, S. Udry, V. Van Eylen, V. Van Grootel, R. K. Vanderspek, V. Viotto, N. Walton, J. N. Winn
Physics & Astronomy Faculty Works
We report the discovery and characterization of a pair of sub-Neptunes transiting the bright K-dwarf TOI-1064 (TIC 79748331), initially detected in the Transiting Exoplanet Survey Satellite (TESS) photometry. To characterize the system, we performed and retrieved the CHaracterising ExOPlanets Satellite (CHEOPS), TESS, and ground-based photometry, the High Accuracy Radial velocity Planet Searcher (HARPS) high-resolution spectroscopy, and Gemini speckle imaging. We characterize the host star and determine Teff,* = 4734 ± 67 K, R* = 0.726 ± 0.007 R⊙, and M* = 0.748 ± 0.032 M⊙. We present a …
Transit Timings Variations In The Three-Planet System: Toi-270, L. Kaye, S. Vissapragada, M. N. Günther, S. Aigrain, T. Mikal-Evans, Eric L.N. Jensen, H. Parviainen, F. J. Pozuelos, L. Abe, J. S. Acton, A. Agabi, D. R. Alves, D. R. Anderson, D. J. Armstrong, K. Barkaoui, O. Barragán, B. Benneke, P. T. Boyd, R. Brahm, I. Bruni, E. M. Bryant, M. R. Burleigh, S. L. Casewell, D. Ciardi, R. Cloutier, K. A. Collins, K. I. Collins, D. M. Conti, I. J. M. Crossfield, N. Crouzet, T. Daylan, D. Dragomir, G. Dransfield, D. Fabrycky, M. Fausnaugh, G. Fuűrész, T. Gan, S. Gill, M. Gillon, M. R. Goad, V. Gorjian, M. Greklek-Mckeon, N. Guerrero, T. Guillot, E. Jehin, J. S. Jenkins, M. Lendl, J. Kamler, S. R. Kane, J. F. Kielkopf, M. Kunimoto, W. Marie-Sainte, J. Mccormac, D. Mékarnia, F. Y. Morales, M. Moyano, E. Palle, V. Parmentier, H. M. Relles, F.-X. Schmider, R. P. Schwarz, S. Seager, A. M. S. Smith, T.-G. Tan, J. Taylor, A. H. M. J. Triaud, J. D. Twicken, S. Udry, J. I. Vines, G. Wang, P. J. Wheatley, J. N. Winn
Transit Timings Variations In The Three-Planet System: Toi-270, L. Kaye, S. Vissapragada, M. N. Günther, S. Aigrain, T. Mikal-Evans, Eric L.N. Jensen, H. Parviainen, F. J. Pozuelos, L. Abe, J. S. Acton, A. Agabi, D. R. Alves, D. R. Anderson, D. J. Armstrong, K. Barkaoui, O. Barragán, B. Benneke, P. T. Boyd, R. Brahm, I. Bruni, E. M. Bryant, M. R. Burleigh, S. L. Casewell, D. Ciardi, R. Cloutier, K. A. Collins, K. I. Collins, D. M. Conti, I. J. M. Crossfield, N. Crouzet, T. Daylan, D. Dragomir, G. Dransfield, D. Fabrycky, M. Fausnaugh, G. Fuűrész, T. Gan, S. Gill, M. Gillon, M. R. Goad, V. Gorjian, M. Greklek-Mckeon, N. Guerrero, T. Guillot, E. Jehin, J. S. Jenkins, M. Lendl, J. Kamler, S. R. Kane, J. F. Kielkopf, M. Kunimoto, W. Marie-Sainte, J. Mccormac, D. Mékarnia, F. Y. Morales, M. Moyano, E. Palle, V. Parmentier, H. M. Relles, F.-X. Schmider, R. P. Schwarz, S. Seager, A. M. S. Smith, T.-G. Tan, J. Taylor, A. H. M. J. Triaud, J. D. Twicken, S. Udry, J. I. Vines, G. Wang, P. J. Wheatley, J. N. Winn
Physics & Astronomy Faculty Works
We present ground- and space-based photometric observations of TOI-270 (L231-32), a system of three transiting planets consisting of one super-Earth and two sub-Neptunes discovered by TESS around a bright (K-mag = 8.25) M3V dwarf. The planets orbit near low-order mean-motion resonances (5:3 and 2:1) and are thus expected to exhibit large transit timing variations (TTVs). Following an extensive observing campaign using eight different observatories between 2018 and 2020, we now report a clear detection of TTVs for planets c and d, with amplitudes of ~10 min and a super-period of ~3 yr, as well as significantly refined estimates of the …
Machine Learning Methods For Generating High Dimensional Discrete Datasets, Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
Machine Learning Methods For Generating High Dimensional Discrete Datasets, Giuseppe Manco, Ettore Ritacco, Antonino Rullo, Domenico Saccà, Edoardo Serra
Computer Science Faculty Publications and Presentations
The development of platforms and techniques for emerging Big Data and Machine Learning applications requires the availability of real-life datasets. A possible solution is to synthesize datasets that reflect patterns of real ones using a two-step approach: first, a real dataset X is analyzed to derive relevant patterns Z and, then, to use such patterns for reconstructing a new dataset X' that preserves the main characteristics of X. This survey explores two possible approaches: (1) Constraint-based generation and (2) probabilistic generative modeling. The former is devised using inverse mining (IFM) techniques, and consists of generating a dataset satisfying given …
Pattern Formation In One-Dimensional Polaron Systems And Temporal Orthogonality Catastrophe, Georgios M. Koutentakis, Simeon I. Mistakidis, Peter Schmelcher
Pattern Formation In One-Dimensional Polaron Systems And Temporal Orthogonality Catastrophe, Georgios M. Koutentakis, Simeon I. Mistakidis, Peter Schmelcher
Physics Faculty Research & Creative Works
Recent Studies Have Demonstrated That Higher Than Two-Body Bath-Impurity Correlations Are Not Important For Quantitatively Describing The Ground State Of The Bose Polaron. Motivated By The Above, We Employ The So-Called Gross Ansatz (GA) Approach To Unravel The Stationary And Dynamical Properties Of The Homogeneous One-Dimensional Bose-Polaron For Different Impurity Momenta And Bath-Impurity Couplings. We Explicate That The Character Of The Equilibrium State Crossovers From The Quasi-Particle Bose Polaron Regime To The Collective-Excitation Stationary Dark-Bright Soliton For Varying Impurity Momentum And Interactions. Following An Interspecies Interaction Quench The Temporal Orthogonality Catastrophe Is Identified, Provided That Bath-Impurity Interactions Are Sufficiently Stronger …
Intra- And Interband Excitations Induced Residue Decay Of The Bose Polaron In A One-Dimensional Double-Well, Jie Chen, Simeon I. Mistakidis, Peter Schmelcher
Intra- And Interband Excitations Induced Residue Decay Of The Bose Polaron In A One-Dimensional Double-Well, Jie Chen, Simeon I. Mistakidis, Peter Schmelcher
Physics Faculty Research & Creative Works
We Investigate The Polaronic Properties Of A Single Impurity Immersed In A Weakly Interacting Bosonic Environment Confined Within A One-Dimensional Double-Well Potential Using An Exact Diagonalization Approach. We Find That An Increase Of The Impurity-Bath Coupling Results In A Vanishing Residue, Signifying The Occurrence Of The Polaron Orthogonality Catastrophe. Asymptotic Configurations Of The Systems' Ground State Wave Function In The Strongly Interacting Regime Are Obtained By Means Of A Schmidt Decomposition, Which In Turn Accounts For The Observed Orthogonality Catastrophe Of The Polaron. We Exemplify That Depending On The Repulsion Of The Bose Gas, Three Distinct Residue Behaviors Appear With …
Long-Range Interactions For Hydrogen Atoms In Excited D States, Chandra M. Adhikari, Ulrich D. Jentschura
Long-Range Interactions For Hydrogen Atoms In Excited D States, Chandra M. Adhikari, Ulrich D. Jentschura
Physics Faculty Research & Creative Works
Pressure shifts inside an atomic beam are among the more theoretically challenging effects in high-precision measurements of atomic transitions. A crucial element in their theoretical analysis is the understanding of long-range interatomic interactions inside the beam. For excited reference states, the presence of quasi-degenerate states leads to additional challenges, due to the necessity to diagonalize large matrices in the quasi-degenerate hyperfine manifolds. Here, we focus on the interactions of hydrogen atoms in reference states composed of an excited nD state (atom A), and in the metastable 2S state (atom B). We devote special attention to the cases n = 3 …
Magic Wavelengths For 1s-Ns And 2s-Ns Transitions In Hydrogenlike Systems, Chandra M. Adhikari, Jonathan C. Canales, Thusitha P.W. Arthanayaka, Ulrich D. Jentschura
Magic Wavelengths For 1s-Ns And 2s-Ns Transitions In Hydrogenlike Systems, Chandra M. Adhikari, Jonathan C. Canales, Thusitha P.W. Arthanayaka, Ulrich D. Jentschura
Physics Faculty Research & Creative Works
We study the magic wavelength for two-photon 1S-nS transitions in a hydrogen and deuterium atom, as well as 2S-nS transitions, where the lower level is the metastable 2S state. At the magic wavelength, the dynamic Stark shifts of the ground and the excited state of the transition coincide, so that the transition frequency is independent of the intensity of the trapping laser field. Experimentally feasible magic wavelengths of transitions with small slopes in the atomic polarizabilities are determined; these are the most stable magic wavelengths against variations of the laser frequency. We provide data for the magic wavelengths for the …
Google Earth Model Of The Southern Alisitos Arc Crustal Section, Baja California, Rebecca Morris, Sarah Medynski, Susan M. Debari, Cathy Busby
Google Earth Model Of The Southern Alisitos Arc Crustal Section, Baja California, Rebecca Morris, Sarah Medynski, Susan M. Debari, Cathy Busby
Geology Faculty Publications
The Cretaceous Alisitos Ocean Arc 3D Model version 1 (v1) is a publically accessible and interactive 3D arc crustal model, with geologic map overlays on Google Earth. The model provides a virtual field trip through the upper- to middle-crust transition in the exhumed 110 Ma southern Alisitos Arc, Baja California, Mexico. This region was chosen for the model as it exposes a structurally intact and minimally altered transition zone between heterogeneous volcanic upper crust through the underlying plutonic rocks (up to ~7 km deep). The model is organized into three paleo-volcanic centers, which include (from north to south): a northern …
Non-Adiabatic Perturbations And Non-Gaussianity During Inflation: Affine Gravity Approach, Isaac Bamwidhi
Non-Adiabatic Perturbations And Non-Gaussianity During Inflation: Affine Gravity Approach, Isaac Bamwidhi
Theses
This thesis is concerned with providing a complete study of non-Gaussianity and entropy perturbations that are sourced by multiple fields nonminimally coupled to gravity. The study will be performed in the framework of the two important formulations of gravity, namely: purely metric (general relativity) and purely affine formulation – where the metrical structure results from the dynamics of the spacetime affine connection. We shall employ a covariant formalism in our framework and demonstrate that it leads to a curved field space which can produce a conspicuous departure from the purely metric gravity. This work is expected, not only to derive …
Finitely Generated Modules Over A Principal Ideal Domain, Mariam Mutawa Meshaab Shemal Al-Dhaheri
Finitely Generated Modules Over A Principal Ideal Domain, Mariam Mutawa Meshaab Shemal Al-Dhaheri
Theses
This thesis covers the main theory of modules: modules, submodules, cosets, quotient modules, homomorphisms, ideals, direct sums, and some related topics. Using these notions, a theorem on the structure of finitely generated modules over domains of principal ideals is proved. As an application of this theorem, the theory of the structure of normal forms of matrices over various fields is presented.
Application Of Natural Radioactivity For Hydrogeological And Environmental Assessment Of Groundwater In Ras Alkhaimah, Uae, Mohammed Nasser Abdullah Al-Saqri
Application Of Natural Radioactivity For Hydrogeological And Environmental Assessment Of Groundwater In Ras Alkhaimah, Uae, Mohammed Nasser Abdullah Al-Saqri
Theses
Groundwater includes a certain concentration of natural radioactive isotopes of uranium (U) and its decay products (daughters) like radon (Rn). Defining the concentration levels, spatial distribution, and possible environmental impact of these isotopes in groundwater is vital for sustainable groundwater resources in the United Arab Emirates (UAE). This dissertation focuses on documenting the distribution and determining the probable environmental impact and sources of Uranium-235 (235U), Uranium-238 (238U), and Radon-222 (222Rn) in groundwater in the Northern part of the UAE and specifically in the Wadi Al Bih aquifer in Ras Al Khaimah Emirate. The sampled …
How To Select A Representative Sample For A Family Of Functions?, Leobardo Valera, Martine Ceberio, Vladik Kreinovich
How To Select A Representative Sample For A Family Of Functions?, Leobardo Valera, Martine Ceberio, Vladik Kreinovich
Departmental Technical Reports (CS)
Predictions are rarely absolutely accurate. Often, the future values of quantities of interest depend on some parameters that we only know with some uncertainty. To make sure that all possible solutions satisfy desired constraints, it is necessary to generate a representative finite sample, so that if the constraints are satisfied for all the functions from this sample, then we can be sure that these constraints will be satisfied for the actual future behavior as well. At present, such a sample is selected based by Monte-Carlo simulations, but, as we show, such selection may underestimate the danger of violating the constraints. …
A Possible Common Mechanism Behind Skew Normal Distributions In Economics And Hydraulic Fracturing-Induced Seismicity, Laxman Bokati, Aaron Velasco, Vladik Kreinovich, Kittawit Autchariyapanitkul
A Possible Common Mechanism Behind Skew Normal Distributions In Economics And Hydraulic Fracturing-Induced Seismicity, Laxman Bokati, Aaron Velasco, Vladik Kreinovich, Kittawit Autchariyapanitkul
Departmental Technical Reports (CS)
Many economic situations -- and many situations in other application areas -- are well-described by a special asymmetric generalization of normal distributions -- known as skew-normal. However, there is no convincing theoretical explanation for this empirical phenomenon. To be more precise, there are convincing explanations for the ubiquity of normal distributions, but not for the transformation that turns normal into skew-normal. In this paper, we use the analysis of hydraulic fracturing-induced seismicity to show explain the ubiquity of such a transformation.
Physical Meaning Often Leads To Natural Derivations In Elementary Mathematics: On The Examples Of Solving Quadratic And Cubic Equations, Christian Servin, Olga Kosheleva, Vladik Kreinovich
Physical Meaning Often Leads To Natural Derivations In Elementary Mathematics: On The Examples Of Solving Quadratic And Cubic Equations, Christian Servin, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
Usual derivation of many formulas of elementary mathematics -- such as the formulas for solving quadratic equation -- often leave un unfortunate impression that mathematics is a collection of unrelated unnatural trick. In this paper, on the example of formulas for solving quadratic and cubic equations, we show that these derivations can be made much more natural if we take physical meaning into account.
Bandgap Tuning Of Mose2 And Wse2 Monolayers Through Alloying And Substitution: An Ab Initio Study, Shahida Maqsood
Bandgap Tuning Of Mose2 And Wse2 Monolayers Through Alloying And Substitution: An Ab Initio Study, Shahida Maqsood
Theses
2D materials attracted considerable interest in the research community following the first report in 2004 on the preparation of graphene by simple micromechanical exfoliation of highly oriented pyrolytic graphite. For example, single-layer Molybdenum Di selenide (MoSe2) and Tungsten Di selenide (WSe2) transistors with on/off ratios of 108 and ultra-low standby power dissipation were demonstrated. Graphene electrodes have been used to develop fully transparent resistive memories to suppress unwanted surface effects that occur in oxide memory devices. Photodetectors based on MoSe2 with few layers have shown excellent photodetection properties. Phototransistors based on WSe2 monolayers exhibit …
Using Modified Technology Acceptance Model To Evaluate The Adoption Of A Proposed Iot-Based Indoor Disaster Management Software Tool By Rescue Workers, Preetinder Singh Brar, Babar Shah, Jaiteg Singh, Farman Ali, Daehan Kwak
Using Modified Technology Acceptance Model To Evaluate The Adoption Of A Proposed Iot-Based Indoor Disaster Management Software Tool By Rescue Workers, Preetinder Singh Brar, Babar Shah, Jaiteg Singh, Farman Ali, Daehan Kwak
All Works
Advancements in IoT technology have been instrumental in the design and implementation of various ubiquitous services. One such design activity was carried out by the authors of this paper, who proposed a novel cloud-centric IoT-based disaster management framework and developed a multimedia-based prototype that employed real-time geographical maps. The multimediabased system can provide vital information on maps that can improve the planning and execution of evacuation tasks. This study was intended to explore the acceptance of the proposed technology by the specific set of users that could potentially lead to its adoption by rescue agencies for carrying out indoor rescue …
The Impact Of Visual Feedback And Control Configuration On Pilot-Aircraft Interface Using Head Tracking Technology, Christopher M. Arnold
The Impact Of Visual Feedback And Control Configuration On Pilot-Aircraft Interface Using Head Tracking Technology, Christopher M. Arnold
Theses and Dissertations
Traditional control mechanisms restrict human input on the displays in 5th generation aircraft. This research explored methods for enhancing pilot interaction with large, information dense cockpit displays; specifically, the effects of visual feedback and control button configuration when augmenting cursor control with head tracking technology. Previous studies demonstrated that head tracking can be combined with traditional cursor control to decrease selection times but can increase pilot mental and physical workload. A human subject experiment was performed to evaluate two control button configurations and three visual feedback conditions. A Fitts Law analysis was performed to create predictive models of selection time …
The Application Of Virtual Reality In Firefighting Training, Dylan A. Gagnon
The Application Of Virtual Reality In Firefighting Training, Dylan A. Gagnon
Theses and Dissertations
Immersive simulations such as virtual reality is becoming more prevalent for use in training environments for many professions. United States Air Force firefighters may benefit from incorporating VR technology into their training program to increase organizational commitment, job satisfaction, self-efficacy, and job performance. With implementing a new training platform, it is also important to understand the relationship between these variables and the perceived benefits and efficacy of the VR training, which has not yet been studied in previous research. This study addresses this issue by gathering data from fire departments currently fielding a VR fire training platform.
The Research And Design Of Sustainlnk: An Online Hub Of Sustainability Resources In Lincoln, Nebraska, Kayla Kremke
The Research And Design Of Sustainlnk: An Online Hub Of Sustainability Resources In Lincoln, Nebraska, Kayla Kremke
Honors Theses
SustainLNK (www.sustainlnk.org) is a website serving as a hub of sustainability resources in Lincoln, Nebraska. The site began as a personal project before becoming my UNL Honors Program Senior Project in Spring 2021, and consists of a website of resources along with two social media accounts providing more timely updates on sustainability-related events. This document outlines the thought and planning that was behind the development of the resource, along with relevant links to grow a deeper understanding of this new community resource.
Existence And Uniqueness Of Minimizers For A Nonlocal Variational Problem, Michael Pieper
Existence And Uniqueness Of Minimizers For A Nonlocal Variational Problem, Michael Pieper
Honors Theses
Nonlocal modeling is a rapidly growing field, with a vast array of applications and connections to questions in pure math. One goal of this work is to present an approachable introduction to the field and an invitation to the reader to explore it more deeply. In particular, we explore connections between nonlocal operators and classical problems in the calculus of variations. Using a well-known approach, known simply as The Direct Method, we establish well-posedness for a class of variational problems involving a nonlocal first-order differential operator. Some simple numerical experiments demonstrate the behavior of these problems for specific choices of …
Autonomous And Resilient Management Of All-Source Sensors For Navigation Integrity: A Comparison And Analysis, Niles A. Tate
Autonomous And Resilient Management Of All-Source Sensors For Navigation Integrity: A Comparison And Analysis, Niles A. Tate
Theses and Dissertations
When navigating using Global Navigation Satellite Systems (GNSS), multiple/redundant, synchronous pseudorange measurements are readily available. However, when navigating in a GNSS degraded and/or denied region, this is not guaranteed. In response to this challenge, the ANT Center developed a framework known as Autonomous and Resilient Management of All-source Sensors (ARMAS). The ARMAS framework is designed to be resilient towards data corruption caused from mismodeled, uncalibrated, and faulty sensors. This thesis further expands on this work by performing a comparison against a Residual-Based Receiver Autonomous Integrity Monitoring (RBRAIM) scheme using simulated and real flight data to evaluate each systems performance.
Generalized Robust Feature Selection, Bradford L. Lott
Generalized Robust Feature Selection, Bradford L. Lott
Theses and Dissertations
Feature selection may be summarized as identifying salient features to a given response. Understanding which features affect the response enables, in the future, only collecting consequential data; hence, the feature selection algorithm may lead to saving effort spent collecting data, storage resources, as well as computational resources for making predictions. We propose a generalized approach to select the salient features of data sets. Our approach may also be applied to unsupervised datasets to understand which data streams provide unique information. We contend our approach identifies salient features robust to the sub-sequent predictive model applied. The proposed algorithm considers all provided …
Carbon Estimation And Decision Making In Usaf Acquisition, Robert F. Gray
Carbon Estimation And Decision Making In Usaf Acquisition, Robert F. Gray
Theses and Dissertations
Recent executive orders and international agreements require the United States to significantly reduce its carbon and greenhouse gas emissions. The DoD is a significant contributor to the carbon emissions of the USA and will be required to reduce the emissions. Therefore, in order to make appropriate programmatic decisions the DoD needs to develop an appropriate method for estimating carbon and making programmatic decisions; trading-off carbon emissions with the traditional cost-schedule-performance metrics. This thesis examines the possibility of developing a model that can be used to estimate the carbon footprint of producing a system before detailed engineering designed have been complete.
Investigating Collaboration In Software Reverse Engineering, Allison M. Wong
Investigating Collaboration In Software Reverse Engineering, Allison M. Wong
Theses and Dissertations
Reverse engineering (RE) is a rigorous process of exploration and analysis to support software design recovery and exploit development. The process is often conducted in teams to divide the workload and take full advantage of engineers' individual expertise and strengths. Collaboration in RE requires versatile and reliable tools that can match the environment's unpredictable and fluid nature. While studies on collaborative software development have indicated common best practices and implementations, similar standards have not been explored in reverse engineering. This research conducts semi-structured interviews with reverse engineering experts to understand their needs and solutions while working in a team. The …
Global Sporadic-E Climatological Analysis Using Gps Radio Occultation And Ionosonde Data, Travis J. Hodos
Global Sporadic-E Climatological Analysis Using Gps Radio Occultation And Ionosonde Data, Travis J. Hodos
Theses and Dissertations
A climatology of sporadic-E (Es) derived from a combined data set of GPS radio occultation (GPS-RO) and ground-based ionosonde soundings is presented for the period from September 2006 to February 2019. The ionosonde soundings were measured using the Lowell Digisonde International (LDI) Global Ionosphere Radio Observatory (GIRO) network consisting of 65 sites and 13,141,060 total soundings. The GPS-RO observations were taken aboard the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) satellites and processed using two binary Es detection algorithms, totaling 9,072,922 occultations. The first algorithm is an S4 amplitude threshold calibrated to the occurrence of any blanketing Es …
Monarch Science Observer, Volume 13, College Of Sciences, Old Dominion University
Monarch Science Observer, Volume 13, College Of Sciences, Old Dominion University
College of Sciences Newsletter
Spring 2022, issue of Monarch Science Observer, ODU Colleges of Sciences Newsletter.