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Articles 1 - 30 of 52
Full-Text Articles in Physics
Countering Internet Packet Classifiers To Improve User Online Privacy, Sina Fathi-Kazerooni
Countering Internet Packet Classifiers To Improve User Online Privacy, Sina Fathi-Kazerooni
Dissertations
Internet traffic classification or packet classification is the act of classifying packets using the extracted statistical data from the transmitted packets on a computer network. Internet traffic classification is an essential tool for Internet service providers to manage network traffic, provide users with the intended quality of service (QoS), and perform surveillance. QoS measures prioritize a network's traffic type over other traffic based on preset criteria; for instance, it gives higher priority or bandwidth to video traffic over website browsing traffic. Internet packet classification methods are also used for automated intrusion detection. They analyze incoming traffic patterns and identify malicious …
Benchmarks And Controls For Optimization With Quantum Annealing, Erica Kelley Grant
Benchmarks And Controls For Optimization With Quantum Annealing, Erica Kelley Grant
Doctoral Dissertations
Quantum annealing (QA) is a metaheuristic specialized for solving optimization problems which uses principles of adiabatic quantum computing, namely the adiabatic theorem. Some devices implement QA using quantum mechanical phenomena. These QA devices do not perfectly adhere to the adiabatic theorem because they are subject to thermal and magnetic noise. Thus, QA devices return statistical solutions with some probability of success where this probability is affected by the level of noise of the system. As these devices improve, it is believed that they will become less noisy and more accurate. However, some tuning strategies may further improve that probability of …
Static And Dynamical Properties Of Multiferroics, Sayed Omid Sayedaghaee
Static And Dynamical Properties Of Multiferroics, Sayed Omid Sayedaghaee
Graduate Theses and Dissertations
Since the silicon industrial revolution in the 1950s, a lot of effort was dedicated to the research and development activities focused on material and solid-state sciences. As a result, several cutting-edge technologies are emerging including the applications of functional materials in the design and enhancement of novel devices such as sensors, highly capable data storage media, actuators, transducers, and several other types of electronic tools. In the last two decades, a class of functional materials known as multiferroics has captured significant attention because of providing a huge potential for new designs due to possessing multiple ferroic order parameters at the …
An Update On The Computational Theory Of Hamiltonian Period Functions, Bradley Joseph Klee
An Update On The Computational Theory Of Hamiltonian Period Functions, Bradley Joseph Klee
Graduate Theses and Dissertations
Lately, state-of-the-art calculation in both physics and mathematics has expanded to include the field of symbolic computing. The technical content of this dissertation centers on a few Creative Telescoping algorithms of our own design (Mathematica implementations are given as a supplement). These algorithms automate analysis of integral period functions at a level of difficulty and detail far beyond what is possible using only pencil and paper (unless, perhaps, you happen to have savant-level mental acuity). We can then optimize analysis in classical physics by using the algorithms to calculate Hamiltonian period functions as solutions to ordinary differential equations. The simple …
Exploring Information For Quantum Machine Learning Models, Michael Telahun
Exploring Information For Quantum Machine Learning Models, Michael Telahun
Electronic Theses and Dissertations
Quantum computing performs calculations by using physical phenomena and quantum mechanics principles to solve problems. This form of computation theoretically has been shown to provide speed ups to some problems of modern-day processing. With much anticipation the utilization of quantum phenomena in the field of Machine Learning has become apparent. The work here develops models from two software frameworks: TensorFlow Quantum (TFQ) and PennyLane for machine learning purposes. Both developed models utilize an information encoding technique amplitude encoding for preparation of states in a quantum learning model. This thesis explores both the capacity for amplitude encoding to provide enriched state …
A Model For Massless Gravitons In Radiation And Matter Dominated Universes, Ioannis Haranas, Eli Cavan, Ioannis Gkigkitzis
A Model For Massless Gravitons In Radiation And Matter Dominated Universes, Ioannis Haranas, Eli Cavan, Ioannis Gkigkitzis
Physics and Computer Science Faculty Publications
A massless model of the graviton is explored by considering the minimum amount of information they can carry. The total entropy of the universe is calculated and compared to estimates from Super Massive Black holes and massive models of the graviton. The running cosmological constant is calculated using the entropy relation previously computed and compared to its experimentally accepted value. Both results are quantified considering radiation and matter dominated universes.
Making Artificial Cips Data With A Generative Adversarial Neural Network, Austin Hedges
Making Artificial Cips Data With A Generative Adversarial Neural Network, Austin Hedges
Fall Showcase for Research and Creative Inquiry
Polar mesospheric clouds (PMCs) have been studied for thirteen years by NASA's Aeronomy of Ice in the Mesosphere (AIM) satellite. The Cloud Imaging and Particle Size (CIPS) instrument onboard AIM has taken many images of PMCs over this time. Such a large number of images makes CIPS data ideal for training neural networks which require large datasets. CIPS images were used to train a Generative Adversarial Network (GAN) to train towards being able to generate purely artificial CIPS-like images.
Modified Newtonian Dynamics Effects In A Region Dominated By Dark Matter And A Cosmological Constant Λ, Ioannis Haranas, Kristin Cobbett, Ioannis Gkigkitzis, Athanasios Alexiou, Eli Cavan
Modified Newtonian Dynamics Effects In A Region Dominated By Dark Matter And A Cosmological Constant Λ, Ioannis Haranas, Kristin Cobbett, Ioannis Gkigkitzis, Athanasios Alexiou, Eli Cavan
Physics and Computer Science Faculty Publications
We study the motion of a secondary celestial body under the influence of a corrected gravitational potential in a modified Newtonian dynamics scenario. Furthermore we look within the Milky-way where the first correction to the potential results from a modified Poisson equation, and includes two mew terms one of which is of the form ln(r/rmax) and the other is associated with the cosmological constant lambda L added to the Newtonian potential. The regions of influence of the two potentials are associated with regions of interested bounded by the conditions for the Newtonian potential, the logarithmic …
Finite-Time State Estimation For An Inverted Pendulum Under Input-Multiplicative Uncertainty, Sergey V. Drakunov, William Mackunis, Anu Kossery Jayaprakash, Krishna Bhavithavya Kidambi, Mahmut Reyhanoglu
Finite-Time State Estimation For An Inverted Pendulum Under Input-Multiplicative Uncertainty, Sergey V. Drakunov, William Mackunis, Anu Kossery Jayaprakash, Krishna Bhavithavya Kidambi, Mahmut Reyhanoglu
Publications
A sliding mode observer is presented, which is rigorously proven to achieve finite-time state estimation of a dual-parallel underactuated (i.e., single-input multi-output) cart inverted pendulum system in the presence of parametric uncertainty. A salient feature of the proposed sliding mode observer design is that a rigorous analysis is provided, which proves finite-time estimation of the complete system state in the presence of input-multiplicative parametric uncertainty. The performance of the proposed observer design is demonstrated through numerical case studies using both sliding mode control (SMC)- and linear quadratic regulator (LQR)-based closed-loop control systems. The main contribution presented here is the rigorous …
Period Estimation And Noise In A Neutrally Stable Stochastic Oscillator, Kevin R. Sanft, Ben F. M. Intoy
Period Estimation And Noise In A Neutrally Stable Stochastic Oscillator, Kevin R. Sanft, Ben F. M. Intoy
Spora: A Journal of Biomathematics
The periods of the orbits for the well-mixed cyclic three-species Lotka-Volterra model far away from the fixed point are studied. For finite system sizes, a discrete stochastic approach is employed and periods are found via wavelet analysis. As the system size is increased, a hierarchy of approximations ranging from Poisson noise to Gaussian noise to deterministic models are utilized. Based on the deterministic equations, a mathematical relationship between a conserved quantity of the model and the period of the population oscillations is found. Exploiting this property we then study the deterministic conserved quantity and period noise in finite size systems.
A Fuzzy Assessment Model For Hospitals Services Quality Based On Patient Experience, Mohamed Khodyer Alkafaji, Eman Salih Al-Shamery
A Fuzzy Assessment Model For Hospitals Services Quality Based On Patient Experience, Mohamed Khodyer Alkafaji, Eman Salih Al-Shamery
Karbala International Journal of Modern Science
The patient's experience is a lens for services assessment that provide from healthcare institutions because the patient is the first and the last recipient for the service. The patient's experience carries a lot of uncertainty and an ultimate decision cannot be taken from the patient about the services, but it carries the partial truth. Many artificial intelligence technologies deal with the concept of partial truth, such as genetic algorithms and neural networks, but the fuzzy logic remains pioneering to deal with uncertainty. This paper aims to develop an assessment model by using fuzzy inference that is able to assess the …
A Systematic Mapping Study On The Risk Factors Leading To Type Ii Diabetes Mellitus, Karar N. J Musafer, Fahrul Zaman Huyop, Mufeed J Ewadh, Eko Supriyanto, Mohammad Rava
A Systematic Mapping Study On The Risk Factors Leading To Type Ii Diabetes Mellitus, Karar N. J Musafer, Fahrul Zaman Huyop, Mufeed J Ewadh, Eko Supriyanto, Mohammad Rava
Karbala International Journal of Modern Science
Diabetes is one of the most common diseases that has had devastating effects on the general population. It is also among the most popular research trends in modern medicine. Thus, due to the complexity and desirability of this particular affliction, there is a lot of demand towards understanding this disease better, so that it can pave the way towards better solutions in combating diabetes. The aim of this review is to provide a categorization of the risk factors leading to Type II Diabetes. In order to provide a justification for the type of diabetes, an explanation is provided which covers …
Chemical Composition And Antibacterial Activity Of The Essential Oil Of Myrtus Communis Leaves, Hajar El Hartiti, Amine El Mostaphi, Mariam Barrahi, Aouatif Ben Ali, Nabila Chahboun, Rajaa Amiyare, Abdelkader Zarrouk, Brahim Bourkhiss, Mohammed Ouhssine
Chemical Composition And Antibacterial Activity Of The Essential Oil Of Myrtus Communis Leaves, Hajar El Hartiti, Amine El Mostaphi, Mariam Barrahi, Aouatif Ben Ali, Nabila Chahboun, Rajaa Amiyare, Abdelkader Zarrouk, Brahim Bourkhiss, Mohammed Ouhssine
Karbala International Journal of Modern Science
The aim of this work is to determine the yield of the essential oil of the Myrtus communis leaves, to identify its chemical composition and to evaluate its antibacterial properties. The plant is harvested from Sidi Ahmed Chrif, a region in Ouazzane, Morocco. The extraction of the essential oil was carried out by hydrodistillation in a Clevenger apparatus type. The average yield was 0.7%. The analysis of this oil by Gas Chromatography coupled with Mass Spectrum (GC/MS) allows the identification of 32 compounds. Eucalyptol was the main compound with 42.43%, followed by myrtenyl acetate (21.25%) and α-pinene (19.39%). Myrtle essential …
Hormones Of Maize Crop As Affected By Potassium Fertilization , Water Quality And Ascobin Foliar Application ., Qais Hussain Al-Samak Prof., Fatima Karim Khudair Alasadi
Hormones Of Maize Crop As Affected By Potassium Fertilization , Water Quality And Ascobin Foliar Application ., Qais Hussain Al-Samak Prof., Fatima Karim Khudair Alasadi
Karbala International Journal of Modern Science
A pot assay on the plastic container of the wire sunshade in the University of Kerbala's Agricultural Division was conducted to research the impact of potassium treatment, the salinity of irrigation water and ascobin sprinkling, just as their connections, on the some plant hormones activities (auxin, gibberellin and abscisic acid) in developing Zea mays crops in a soil with sandy texture during the farming fall period of 2017–2018. The trial was planned as a factorial one with three factors, Potassium adding are 0, 100 and 200 Kg K.ha–1 . the irrigation water salinity are 1, 3 and 6 ds.m …
Physics-Constrained Hyperspectral Data Exploitation Across Diverse Atmospheric Scenarios, Nicholas M. Westing
Physics-Constrained Hyperspectral Data Exploitation Across Diverse Atmospheric Scenarios, Nicholas M. Westing
Theses and Dissertations
Hyperspectral target detection promises new operational advantages, with increasing instrument spectral resolution and robust material discrimination. Resolving surface materials requires a fast and accurate accounting of atmospheric effects to increase detection accuracy while minimizing false alarms. This dissertation investigates deep learning methods constrained by the processes governing radiative transfer to efficiently perform atmospheric compensation on data collected by long-wave infrared (LWIR) hyperspectral sensors. These compensation methods depend on generative modeling techniques and permutation invariant neural network architectures to predict LWIR spectral radiometric quantities. The compensation algorithms developed in this work were examined from the perspective of target detection performance using …
Machine Learning Corrected Quantum Dynamics Calculations, A. Jasinski, J. Montaner, R. C. Forrey, B. H. Yang, P. C. Stancil, Naduvalath Balakrishnan, J. Dai, A. Vargas-Hernandez, R. V. Krems
Machine Learning Corrected Quantum Dynamics Calculations, A. Jasinski, J. Montaner, R. C. Forrey, B. H. Yang, P. C. Stancil, Naduvalath Balakrishnan, J. Dai, A. Vargas-Hernandez, R. V. Krems
Chemistry and Biochemistry Faculty Research
Quantum scattering calculations for all but low-dimensional systems at low energies must rely on approximations. All approximations introduce errors. The impact of these errors is often difficult to assess because they depend on the Hamiltonian parameters and the particular observable under study. Here, we illustrate a general, system- and approximation-independent, approach to improve the accuracy of quantum dynamics approximations. The method is based on a Bayesian machine learning (BML) algorithm that is trained by a small number of exact results and a large number of approximate calculations, resulting in ML models that can generalize exact quantum results to different dynamical …
Numerical Model Of A Radio Frequency Ion Source For Fusion Plasma Using Particle-In-Cell And Finite Difference Time Domain, Augustin L. Griswold
Numerical Model Of A Radio Frequency Ion Source For Fusion Plasma Using Particle-In-Cell And Finite Difference Time Domain, Augustin L. Griswold
University Honors Theses
Radio frequency (RF) plasma sources are common tool for application and study, and of particular interest for inertial electrostatic (IEC) fusion. Computational analysis is often carried out using particle in cell (PIC) methods or finite difference time domain (FDTD). However, a more holistic analysis is necessary as the particle distribution is highly dependant on the fields created by the plasma source. Herein, an analysis of a particular planar RF electrode with deuterium gas is provided which covers the fields and the particle behaviour using first FDTD then PIC. Further applications are discussed as well as further directions for this study.
Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus
Snow-Albedo Feedback In Northern Alaska: How Vegetation Influences Snowmelt, Lucas C. Reckhaus
Theses and Dissertations
This paper investigates how the snow-albedo feedback mechanism of the arctic is changing in response to rising climate temperatures. Specifically, the interplay of vegetation and snowmelt, and how these two variables can be correlated. This has the potential to refine climate modelling of the spring transition season. Research was conducted at the ecoregion scale in northern Alaska from 2000 to 2020. Each ecoregion is defined by distinct topographic and ecological conditions, allowing for meaningful contrast between the patterns of spring albedo transition across surface conditions and vegetation types. The five most northerly ecoregions of Alaska are chosen as they encompass …
Qwasi: The Quantum Walk Simulator, Warren V. Wilson
Qwasi: The Quantum Walk Simulator, Warren V. Wilson
Theses and Dissertations
As quantum computing continues to evolve, the ability to design and analyze novel quantum algorithms becomes a necessary focus for research. In many instances, the virtues of quantum algorithms only become evident when compared to their classical counterparts, so a study of the former often begins with a consideration of the latter. This is very much the case with quantum walk algorithms, as the success of random walks and their many, varied applications have inspired much interest in quantum correlates. Unfortunately, finding purely algebraic solutions for quantum walks is an elusive endeavor. At best, and when solvable, they require simple …
Quantum Criticality In Strongly Correlated Electron Systems, Samuel Obadiah Kellar
Quantum Criticality In Strongly Correlated Electron Systems, Samuel Obadiah Kellar
LSU Doctoral Dissertations
The study of the Hubbard model in three dimensions contains a variety of phases dependent upon the chosen parameters. This thesis shows that there is the indication of a zero temperature phase transition at a finite doping. The Hubbard model has been used to identify a similar quantum critical point in two dimensions. The presented results continue these investigations. The system demonstrates a strange metal phase at finite temperature which cannot be described in term of the conventional Fermi liquid. While there have been extensive studies over the past three decades for such materials in two dimensions, there are few …
Synthesis, Characterisation And Biological Evaluation Of Tyramine Derived Schiff Base Ligand And Its Transition Metal(Ii) Complexes, Abdul Khader Jailani, N.S.K. Gowthaman, Mookkandi Palsamy Kesavan
Synthesis, Characterisation And Biological Evaluation Of Tyramine Derived Schiff Base Ligand And Its Transition Metal(Ii) Complexes, Abdul Khader Jailani, N.S.K. Gowthaman, Mookkandi Palsamy Kesavan
Karbala International Journal of Modern Science
In this study, a new tyramine derived Schiff base ligand (L) (L=1,3-phenylene-bis-4-aminoantipyrinyl-4-aminoethylphenol) and its derived transition metal(II) complexes [Cu(L)Cl2](1), [Ni(L)Cl2](2), [Co(L)Cl2] (3) and [Zn(L)Cl2] (4) have been synthesized and well characterized by the way of different spectroscopic and analytical techniques. Analytical and spectroscopic studies result suggests that metal(II) complexes more probably have octahedral geometry. DNA binding tendency of L and metal(II) complexes 1-4 have been assessed by probing their ability to bind with Calf Thymus DNA (CT-DNA) via electronic absorption and cyclic voltammetry titration methods. The results clearly reveal that the metal(II) …
Evaluation Of Structure And Properties Of Various Sol–Gel Nanocoatings On Biomedical Titanium Surface, Mohsin Talib Mohammed, Sarah Mohammed Hussein
Evaluation Of Structure And Properties Of Various Sol–Gel Nanocoatings On Biomedical Titanium Surface, Mohsin Talib Mohammed, Sarah Mohammed Hussein
Karbala International Journal of Modern Science
This study deals with the preparation and characterization of different bioceramic nanofilms formed on the surface of new metastable β-titanium (Ti) alloy. The films of pure TiO2, pure HA, TiO2/HA bilayer and HA/TiO2 composite were coated successfully on Ti surface by sol-gel using spray pyrolysis deposition technique. The surface characteristics of coated substrates, such as thickness, topography, morphology, phase transformations and wear behavior, were evaluated and compared to uncoated substrate. The results showed that the sol-gel is a promising technique to create biocoatings on Ti surface with outstanding structure and properties for biomedical applications.
On The Dynamic Behaviour Of Automobile Pulleys Under Cyclic Loading, Haval Kamal Asker, Thaker Saleh Dawood
On The Dynamic Behaviour Of Automobile Pulleys Under Cyclic Loading, Haval Kamal Asker, Thaker Saleh Dawood
Karbala International Journal of Modern Science
This paper investigates the dynamic characteristics of pulley systems with different numbers of bolt holes. Models with four, six and eight bolt holes were chosen for the pulley. Three sets of cyclic pressure were applied to the pulley system to resemble the different running revolutions of an engine. The study investigates the effect of the number of holes on the system’s stiffness and natural frequency. Finite element models were used to simulate the obtained deformations, stresses and frequency response function (FRF) for pulley models comprising four, six and eight bolt holes under different cyclic pressures. The results show that the …
Optically Thick Radiating Free Convective Mhd Nanofluid Flow Over An Exponentially Accelerated Plate, D.P. Bhatta, S.R. Mishra, J.K. Dash
Optically Thick Radiating Free Convective Mhd Nanofluid Flow Over An Exponentially Accelerated Plate, D.P. Bhatta, S.R. Mishra, J.K. Dash
Karbala International Journal of Modern Science
The present analysis investigates an unsteady conducting water-based nanofluid embedding with porous medium over an exponentially accelerated vertical plate. The plate is accelerated with moving ramped temperature. However, water is treated as the base fluid with Copper (Cu) and Titanium Oxide (TiO2) as nanoparticles. Effects of thermal radiation, heat source, and radiation absorption are taken care of in the energy equation which may enhance the heat transfer properties of nanofluid. The crux of the investigation is to find the closed-form solution of nonlinear coupled partial differential equations. Laplace Transform technique is employed to solve these equations. The influence …
A Support Vector Machine-Based Prediction Model For Electrochemical Machining Process, Subham Agarwal Mr., Shruti Sudhakar Dandge Ms., Shankar Chakraborty Prof.
A Support Vector Machine-Based Prediction Model For Electrochemical Machining Process, Subham Agarwal Mr., Shruti Sudhakar Dandge Ms., Shankar Chakraborty Prof.
Karbala International Journal of Modern Science
Manufacturing of quality products is one of the core measures to address competitiveness in industries. Hence, it is always necessary to accomplish quality prediction at early stages of a manufacturing process to attain high quality products at the minimum possible cost. To achieve this goal, the past researchers have developed and investigated the applications of different intelligent techniques for their effective deployment at various stages of manufacturing processes. In this paper, support vector machine (SVM), a supervised learning system based on a novel artificial intelligence paradigm, is employed for prediction of three responses, like material removal rate, surface roughness and …
Influence Of Carbon Fibres On Strain Sensing And Structural Properties Of Rc Beams Without Stirrups, Arvind Kumar Cholker, Manzoor Ahmad Tantray
Influence Of Carbon Fibres On Strain Sensing And Structural Properties Of Rc Beams Without Stirrups, Arvind Kumar Cholker, Manzoor Ahmad Tantray
Karbala International Journal of Modern Science
In present study, effect of micro carbon fibres on strain sensing property and structural behavior of the reinforced concrete (RC) beams in absence of stirrups was experimentally investigated. A total of three RC beams of dimensions, 125 mm width, 350 mm height and 1500 mm long were manufactured without stirrups. All the three beams had different longitudinal reinforcement ratios (0.9%, 1.43% and 1.03 %) and uniform strength of concrete of 36.5 MPa. All the beams had carbon fibre based concrete (CFBC) at top and bottom surface in mid span for a length of 350mm and depth of 78 mm. All …
Approximating Fixed Points In Modular Spaces, Salwa Salman Abed, Meena Fouad Abduljabbar
Approximating Fixed Points In Modular Spaces, Salwa Salman Abed, Meena Fouad Abduljabbar
Karbala International Journal of Modern Science
A generic two theorems for the two step iterative sequence of multivalued mappings are proved in a complete convex real modular space, and then cite some corollaries that are special cases of these theorems.