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Articles 31 - 59 of 59
Full-Text Articles in Physical Sciences and Mathematics
John-Stromberg Inequality For Certain Anisotropic Bmo Spaces, Yingfeng Hu
John-Stromberg Inequality For Certain Anisotropic Bmo Spaces, Yingfeng Hu
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In this paper, we establish the John-Stromberg inequality in certain anisotropic BMO spaces and apply the inequality to anisotropic Holder continuous function spaces. To achieve this goal, we define the median value, BMO space and sharp maximal function first. Secondly we constructed a family of continuously expanding rectangles and give a Calderon-Zygmund type decomposition. By using these tools, we establish the John-Stromberg inequality. Finally, an application to anisotropic Holder continuous function spaces is presented.
A Multi-Formal Languages Collaborative Scheme For Complex Human Activity Recognition And Behavioral Patterns Extraction, Anargyros Angeleas
A Multi-Formal Languages Collaborative Scheme For Complex Human Activity Recognition And Behavioral Patterns Extraction, Anargyros Angeleas
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Human Activity Recognition is an actively researched domain for the past few decades, and is one of the most eminent applications of today. It is already part of our life, but due to high level of uncertainty and challenges of human detection, we have only application specific solutions. Thus, the problem being very demanding and still remains unsolved. Within this PhD we delve into the problem, and approach it from a variety of viewpoints. At start, we present and evaluate different architectures and frameworks for activity recognition. Henceforward, the focal point of our attention is automatic human activity recognition. We …
A Stochastic Petri Net Reverse Engineering Methodology For Deep Understanding Of Technical Documents, Giorgia Rematska
A Stochastic Petri Net Reverse Engineering Methodology For Deep Understanding Of Technical Documents, Giorgia Rematska
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Systems Reverse Engineering has gained great attention over time and is associated with numerous different research areas. The importance of this research derives from several technological necessities. Security analysis and learning purposes are two of them and can greatly benefit from reverse engineering. More specifically, reverse engineering of technical documents for deeper automatic understanding is a research area where reverse engineering can contribute a lot. In this PhD dissertation we develop a novel reverse engineering methodology for deep understanding of architectural description of digital hardware systems that appear in technical documents. Initially, we offer a survey on reverse engineering of …
Sedimentary Architecture And Paleochannel Dimensions Of The Lamotte Sandstone Of Southeastern Missouri, Jamilyn Ann Moore
Sedimentary Architecture And Paleochannel Dimensions Of The Lamotte Sandstone Of Southeastern Missouri, Jamilyn Ann Moore
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This study focused on outcrops of the Lamotte Sandstone (Cambrian) within Hawn State Park near Farmington, Missouri. The goal was to estimate the channel depth, channel width, and channel belt width for rivers that deposited this portion of the Lamotte Ss. Sedimentary characteristics (grain size, bedding type and thickness, and unit bar and compound bar boundaries) were mapped within three outcrops on photomosaics and within graphic sedimentary logs (totaling 14 m vertically). The change in sedimentary characteristics from the lowest to the highest deposits studied suggest the formation and filling of a major channel within the braided channel belt. The …
Development Of An Ios App For Learning Intonation Of Wind Instruments, Swathi Pamidi
Development Of An Ios App For Learning Intonation Of Wind Instruments, Swathi Pamidi
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Learning music instrument is a challenging task for a beginner without constant guidance from an instructor. The primary objective of this thesis research is to design and develop an iOS mobile / iPad learning app that helps users to learn and practice intonation for a suite of wind instruments by themselves with comfort and ease through app-provided tuning and charting guidance and app-assisted self-assessment. Particularly, our successfully-implemented app provides the following features to enhance the user's learning experience: 1 ) Provides learners easy-to-access information for the fingering and tuning techniques of wind instruments by converting Dr. Shelley Jagow's book - …
Abiotic Reduction Transformations Of Recalcitrant Chlorinated Methanes, Chlorinated Ethanes, And 2,4-Dinitroanisole By Reduced Iron Oxides At Bench-Scale, Adam C. Burdsall
Abiotic Reduction Transformations Of Recalcitrant Chlorinated Methanes, Chlorinated Ethanes, And 2,4-Dinitroanisole By Reduced Iron Oxides At Bench-Scale, Adam C. Burdsall
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Sites contaminated with chlorinated hydrocarbons are frequent and widespread, and with the rising use of insensitive high explosive (IHE) compounds, more widespread contamination is inevitable. In the cases of both classes of organic contaminants, natural attenuation is a critical component of our understanding of the environmental fate of these compounds. This dissertation is intended to expand the knowledge of potential abiotic natural attenuation mechanisms and, in the case of the study of chlorinated hydrocarbons, to examine degradation under variable pH conditions in the hopes of helping to develop minimally invasive remediation techniques. The results indicated that precipitated hydrolyzed Fe(II) species …
Malware Analysis Skills Taught In University Courses, Swetha Gorugantu
Malware Analysis Skills Taught In University Courses, Swetha Gorugantu
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Career opportunities for malware analysts are growing at a fast pace due to the evolving nature of cyber threats as well as the necessity to counter them. However, employers are often unable to hire analysts fast though due to a lack of the required skillset. Hence, the primary purpose of the thesis is to conduct a gap analysis between the binary analysis skills taught in universities with those that the recruiters are looking for. Malware can be analyzed using three main types of tools and techniques: high-level profiling, static analysis, and dynamic analysis. These methods provide detailed information about the …
A Lc-Ms/Ms-Based Method For The Multiplex Detection Of 24 Fentanyl Analogs And Metabolites In Whole Blood At Sub Ng Ml-1 Concentrations, Kraig Edward Strayer
A Lc-Ms/Ms-Based Method For The Multiplex Detection Of 24 Fentanyl Analogs And Metabolites In Whole Blood At Sub Ng Ml-1 Concentrations, Kraig Edward Strayer
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The United States and numerous other countries worldwide are currently experiencing a public health crisis due to the abuse of illicitly manufactured fentanyl (IMF) and its analogues. This manuscript describes the development of a liquid chromatography-tandem mass spectrometry-based method for the multiplex detection of N = 24 IMF analogues and metabolites in whole blood at concentrations as low as 0.1-0.5 ng mL-1. These available IMFs were fentanyl, norfentanyl, furanyl norfentanyl, remifentanil acid, butyryl norfentanyl, remifentanil, acetyl fentanyl, alfentanil, AH-7921, U-47700, acetyl fentanyl 4-methylphenethyl, acrylfentanyl, para-methoxyfentanyl, despropionyl fentanyl (4-ANPP), furanyl fentanyl, despropionyl para-fluorofentanyl, carfentanil, (±)-cis-3-methyl fentanyl, butyryl fentanyl, isobutyryl fentanyl, sufentanil, …
Sensor Data Streams Correlation Platform For Asthma Management, Vaikunth Sridharan
Sensor Data Streams Correlation Platform For Asthma Management, Vaikunth Sridharan
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Asthma is a high-burden chronic inflammatory disease with prevalence in children with twice the rate compared to adults. It can be improved by continuously monitoring patients and their environment using the Internet of Things (IoT) based devices. These sensor data streams so obtained are essential to comprehend multiple factors triggering asthma symptoms. In order to support physicians in exploring causal associations and finding actionable insights, a visualization system with a scalable cloud infrastructure that can process multimodal sensor data and Patient Generated Health Data (PGHD) is necessary. In this thesis, we describe a cloud-based asthma management and visualization platform that …
A Semantically Enhanced Approach To Identify Depression-Indicative Symptoms Using Twitter Data, Ankita Saxena
A Semantically Enhanced Approach To Identify Depression-Indicative Symptoms Using Twitter Data, Ankita Saxena
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According to the World Health Organization, more than 300 million people suffer from Major Depressive Disorder (MDD) worldwide. PHQ-9 is used to screen and diagnose MDD clinically and identify its severity. With the unprecedented growth and enthusiastic acceptance of social media such as Twitter, a large number of people have come to share their feelings and emotions on it openly. Each tweet can indicate a user's opinion, thought or feeling. A tweet can also indicate multiple symptoms related to PHQ-9. Identifying PHQ-9 symptoms indicated by a tweet can provide crucial information about a user regarding his/her depression diagnosis. The current …
Electromagnetic Properties Of Fractal Antennas, Jordan Jeffrey Ewing
Electromagnetic Properties Of Fractal Antennas, Jordan Jeffrey Ewing
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Finite element method analysis is used to conduct electromagnetic simulations to characterize fractal antennas. This work considers wire (1D) antennas such as the triadic Koch curve, zig zag, and quadratic Koch curve of varying heights, iterations, and cross-sectional areas. Carpet (2D) antennas, including the Sierpinksi carpet, of varying heights, iterations, and deterministic and stochastic iterations are analyzed. The antenna shapes were generated in MATLAB and then modeled with finite element analysis using COMSOL Multiphysics®. The focus of this study is to determine what role various fractal patterns and iterations have on the S11 return loss and far field radiation patterns. …
A Parallel Spectral Method Approach To Model Plasma Instabilities, Kevin S. Scheiman
A Parallel Spectral Method Approach To Model Plasma Instabilities, Kevin S. Scheiman
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The study of solar-terrestrial plasma is concerned with processes in magnetospheric, ionospheric, and cosmic-ray physics involving different particle species and even particles of different energy within a single species. Instabilities in space plasmas and the earth's atmosphere are driven by a multitude of free energy sources such as velocity shear, gravity, temperature anisotropy, electron, and, ion beams and currents. Microinstabilities such as Rayleigh-Taylor and Kelvin-Helmholtz instabilities are important for the understanding of plasma dynamics in presence of magnetic field and velocity shear. Modeling these turbulences is a computationally demanding processes; requiring large memory and suffer from excessively long runtimes. Previous …
Highly-Configurable Multi-Objective Optimization For Physical Parameter Extraction Using Terahertz Time-Domain Spectroscopy, Andrew John Niklas
Highly-Configurable Multi-Objective Optimization For Physical Parameter Extraction Using Terahertz Time-Domain Spectroscopy, Andrew John Niklas
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The use of terahertz time-domain spectroscopy provides one of the most versatile and promising techniques for the robust determination of optical parameters, which is needed to enable identification of materials for quality control, materials science advancement, tamper prevention, drug enforcement, and hidden explosives detection. Previously, the state-of-the-art relied on legacy error measures for minimization of simulation error and the standard practice was to use a single unique measurement for each unknown material in a sample. Successful optical parameter extraction for uniformly varying optical property materials is correlated with low variation in extracted optical properties. This work advances the state-of-the-art in …
Building An Abstract-Syntax-Tree-Oriented Symbolic Execution Engine For Php Programs, Jin Huang
Building An Abstract-Syntax-Tree-Oriented Symbolic Execution Engine For Php Programs, Jin Huang
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This thesis presents the design, implementation, and evaluation of an abstract-syntax-tree-oriented symbolic execution engine for the PHP programming language. As a symbolic execution engine, our system emulate the execution of a PHP program by assuming that all inputs are with symbolic rather than concrete values. While our system inherits the basic definition of symbolic execution, it fundamentally differs from existing symbolic execution implementations that mainly leverage intermediate representation (IRs) to operate. Specifically, our system directly takes the abstract syntax tree (AST) of a program as input and subsequently interprets this AST. Performing symbolic execution using AST offers unique advantages. First, …
Verifying Data-Oriented Gadgets In Binary Programs To Build Data-Only Exploits, Zachary David Sisco
Verifying Data-Oriented Gadgets In Binary Programs To Build Data-Only Exploits, Zachary David Sisco
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Data-Oriented Programming (DOP) is a data-only code-reuse exploit technique that "stitches" together sequences of instructions to alter a program's data flow to cause harm. DOP attacks are difficult to mitigate because they respect the legitimate control flow of a program and by-pass memory protection schemes such as Address Space Layout Randomization, Data Execution Prevention, and Control Flow Integrity. Techniques that describe how to build DOP payloads rely on a program's source code. This research explores the feasibility of constructing DOP exploits without source code-that is, using only binary representations of programs. The lack of semantic and type information introduces difficulties …
Image Stitching And Matching Tool In The Automated Iterative Reverse Engineer (Aire) Integrated Circuit Analysis Suite, David C. Bowman
Image Stitching And Matching Tool In The Automated Iterative Reverse Engineer (Aire) Integrated Circuit Analysis Suite, David C. Bowman
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Due to current market forces, leading-edge semiconductor fabrication plants have moved outside of the US. While this is not a problem at first glance, when it comes to security-sensitive applications, over-production, device cloning, or design alteration becomes a possibility. Since these vulnerabilities exist during the fabrication phase, a Reverse Engineering (RE) step must be introduced to help ensure secure device operation. This thesis proposes several unique methods and a collection of tools to ensure trust assurance in integrated circuit design by detecting fabrication flaws and possible hardware Trojans using several image processing techniques; fused into a singular view of the …
Molecular Dynamics Study Of Hydrogen Trapping And Helium Clustering In Tungsten, Ashok Gurung
Molecular Dynamics Study Of Hydrogen Trapping And Helium Clustering In Tungsten, Ashok Gurung
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The field of plasma confinement and path toward achieving thermonuclear fusion started with experimental devices like tokamak and has evolved into other more complex variants of magnetic plasma confinement such as stellarator and spherical-tokamaks. As the plasma confinement machines advance towards higher temperature and plasma density (thermonuclear fusion conditions) the role and nature of plasma-wall interaction such as possible edge plasma regimes, particle recycling at the walls and its consequence for erosion, migration and re-deposition of wall material and impurity generation, transport and radiation as well as issues of particle exhaust continues to be a dominant limiting factor due to …
Redox-Active Silver N-Heterocyclic Carbene Complexes: A Dual Targeting Antibacterial Drug, Kotiba Malek
Redox-Active Silver N-Heterocyclic Carbene Complexes: A Dual Targeting Antibacterial Drug, Kotiba Malek
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Bacterial resistance to current [beta]-lactam antibiotics necessitates new therapeutic approaches. Silver-based drugs offer a promising alternative because of their antibacterial properties and minimal bacterial resistance. However, many silver-based antibacterial drugs rapidly release silver ions, limiting the bioavailability of silver ions for a longer period of time. Recently, N-heterocyclic carbenes (NHC) containing silver complexes have become a popular subject of research due to their versatility and the slow release of silver ions under biological conditions. To further enhance the efficacy of silver-NHC drugs, we fused redox-active substituents such as naphthoquinone and ferrocenes to NHCs. Both naphthoquinone and ferrocenes have been shown …
Multitrophic Impacts Of An Emerging Invasive Plant, Elizabeth J. Roberson
Multitrophic Impacts Of An Emerging Invasive Plant, Elizabeth J. Roberson
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The invasion of novel habitats by non-native plant species is a worldwide problem with serious economical and ecological implications. Broad biotic and abiotic filters contribute to the overall invasibility of non-native species. Invasive plants have the ability to rapidly establish themselves and outcompete their native counterparts as result of their relationship with herbivorous arthropods. Because invasive plants displace native plants, reduce overall plant diversity, and alter vegetation structure, this can have cascading effects on insect herbivores, particularly those that rely on one or a few food plants, and arthropod predators. The genus Euonymus (Celastraceae) is comprised of 130 species. Euonymus …
Investigation Of Communication And Radar System Optimization: New Computational And Theoretical Methods, Jeffrey R. Hollon
Investigation Of Communication And Radar System Optimization: New Computational And Theoretical Methods, Jeffrey R. Hollon
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Binary sequences and arrays, their higher dimensional counterparts, play a critical role in today's technologically advanced world. This thesis explores such sequences and their optimality under various conditions along with their applicability to problems in engineering such as communication and radar systems. A new asymptotically orthogonal type of matrix is defined with computational examples given along with infinite theoretical families. A high energy ternary sequence is developed and shown to have real world promise by simulation of its radar ambiguity function and frame synchronization. Proposed within is an extended and more complete definition for Doppler tolerance by which sequences may …
The Feasibility Of Dementia Caregiver Task Performance Measurement Using Smart Gaming Technology, Garrett G. Goodman
The Feasibility Of Dementia Caregiver Task Performance Measurement Using Smart Gaming Technology, Garrett G. Goodman
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Dementia caregiver burnout is detrimental to both the familial caregiver and their loved ones with dementia. As the population of older adults increases, both the number of individuals with dementia and their corresponding caregivers increase as well. Thus, we are interested in developing a potential tool to non-invasively detect signs of caregiver burnout using a mobile application combined with machine learning. Hence, the mobile application "Caregiver Assessment using Smart Technology" (CAST) was developed which personalizes a word scramble game. The CAST application utilizes a heuristically constructed Fuzzy Inference System (FIS) optimized via a Genetic Algorithm (GA) to provide an individualized …
Wetting Properties Of Structured Interfaces Composed Of Surface-Attached Spherical Nanoparticles, Bishal Bhattarai
Wetting Properties Of Structured Interfaces Composed Of Surface-Attached Spherical Nanoparticles, Bishal Bhattarai
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In this thesis, the effects of the external pressure and surface energy on stability and wetting transition at nanotextured interfaces are studied using molecular dynamics and continuum simulations. The surface roughness of the composite interface is modeled via an array of spherical nanoparticles with controlled wettability. It was found that in the absence of external pressure, the liquid interface is flat and its location relative to the solid substrate is determined by the radius of the particle and the local contact angle. With increasing pressure on the liquid film, its interface becomes more curved and the three-phase contact line is …
Geochemical And Microbiological Controls On Mercury Methylation In Natural Waters, Alison M. Agather
Geochemical And Microbiological Controls On Mercury Methylation In Natural Waters, Alison M. Agather
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Mercury (Hg) is a global pollutant toxic to humans and wildlife. Monomethylmercury (MMHg) is a bioavailable compound that bioaccumulates and biomagnifies in food webs. Humans are primarily exposed to MMHg from seafood consumption (Sunderland 2007), and high quantities of the neurotoxin lead to reduced neurocognitive functioning in adults and the children of exposed mothers (Cohen et al. 2005, Yokoo et al. 2003). Negative effects from MMHg accumulation on the health of humans and wildlife requires a more complete understanding of the chemistry and microbiology driving Hg methylation in both marine and freshwater systems. This work focuses on water column distribution, …
Structure-Property Relationships Of N-Heterocycle Functionalized Triphenylphosphine Oxide-Based Poly (Arylene Ether)S, Luke Meyer
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The synthesis of N-heterocycle functionalized triphenylphosphine oxide based PAEs, utilizing 3,5 difluorinated diphenyl sulfone systems was achieved. 3’-Iodo 3,5-difluorodiphenylsulfone was subjected to copper and palladium catalyzed coupling reactions with carbazole, phenothiazine, and indole. The syntheses of 3’-(9-carbazole) 3,5-difluorodiphenylsulfone, 3’-(9-phenothiazine) 3,5-difluorodiphenylsulfone, and 3’-(9-indole) 3,5-difluorodiphenylsulfone were successfully carried out. Copolymers with 4,4’ difluorotriphenylphosphine oxide, as well as 4,4’ dihydroxydiphenyl ether (DPE), as the nucleophilic partner, were prepared via standard nucleophilic aromatic substitution (NAS) polycondensataion reactions. Incorporation of the monomers containing N-heterocycle units was determined by NMR spectroscopy. All polymers displayed sufficient molecular weights (Mn) to allow for films to be cast from …
Interactive Visualization Of Search Results Of Large Document Sets, James D. Anderson
Interactive Visualization Of Search Results Of Large Document Sets, James D. Anderson
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When presented with many search results, finding information or patterns within the data poses a challenge. This thesis presents the design, implementation and evaluation of a visualization enabling users to browse through voluminous information and comprehend the data. Implemented with the JavaScript library Data Driven Documents (D3), the visualization represents the search as clusters of similar documents grouped into bubbles with the contents depicted as word-clouds. Highly interactive features such as touch gestures and intuitive menu actions allow for expeditious exploration of the search results. Other features include drag-and-drop functionality for articles among bubbles, merging nodes, and refining the search …
Development Of A Human-Ai Teaming Based Mobile Language Learning Solution For Dual Language Learners In Early And Special Educations, Saurabh Shukla
Development Of A Human-Ai Teaming Based Mobile Language Learning Solution For Dual Language Learners In Early And Special Educations, Saurabh Shukla
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Learning English as a secondary language is often an overwhelming challenge for dual language learners (DLLs), whose first language (L1) is not English, especially for children in early education (PreK-3 age group). These early DLLs need to devote a considerable amount of time learning to speak and read the language, in order to gain the language proficiency to function and compete in the classroom. Fear of embarrassment when mispronouncing words in front of others may drive them to remain silent; effectively hampering their participation in the class and overall curricular growth. The process of learning a new language can benefit …
Overwhelming The Saa System Of Delivery Uavs By Drone Swarming, Barry Lynn Pfaff
Overwhelming The Saa System Of Delivery Uavs By Drone Swarming, Barry Lynn Pfaff
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As the Internet continues to replace the brick-and-mortar store as the main place for purchasing goods, web-based companies are looking for ways to reduce the cost of delivering those goods. The use of Unmanned Aerial Vehicles, or UAVs, is one delivery method that is increasingly being used. These UAVs can be programmed with delivery routes and destinations and can complete the job while requiring limited intervention from human controllers. Sense and Avoidance (SAA) systems have recently been incorporated into these UAVs so that they can detect objects in their flight path, reroute the UAV accordingly and operate even more autonomously. …
Multiple Drone Detection And Acoustic Scene Classification With Deep Learning, Hari Charan Vemula
Multiple Drone Detection And Acoustic Scene Classification With Deep Learning, Hari Charan Vemula
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Classification of environmental scenes and detection of events in one's environment from audio signals enables one to create better-planning agents, intelligent navigation systems, pattern recognition systems, and audio surveillance systems. This thesis will explore the use of Convolutional Neural Networks(CNN'S) with spectrograms and raw audio waveforms as inputs to Deep Neural Networks with hand engineered features extracted from large-scale feature extraction schemes to identify the acoustic scenes and events. The first part focuses on building an audio pattern recognition system capable of detecting the if there are zero, one, or two DJI phantoms in the scene within the range of …
Fully Transparent Computer Vision Framework For Ship Detection And Tracking In Satellite Imagery, Jason T. Gottweis
Fully Transparent Computer Vision Framework For Ship Detection And Tracking In Satellite Imagery, Jason T. Gottweis
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Tracking of ships in satellite imagery is a challenging problem in remote sensing since it requires both object detection and object recognition. Most of the resources available only cover one of these problems and are often filled with machine learning techniques which are costly to train. Additionally, the techniques covered in these resources are often difficult to replicate or may be hard to combine with other solutions to get a full tracking algorithm. The proposed framework offers a transparent and efficient alternative to machine learning approaches and includes preprocessing, detection, and recognition needed for tracking. All components of the framework …