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Conditional Dilated Attention Tracking Model - C-Datm, Tyler Clayton Highlander Jan 2019

Conditional Dilated Attention Tracking Model - C-Datm, Tyler Clayton Highlander

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Current commercial tracking systems do not process images fast enough to perform target-tracking in real- time. State-of-the-art methods use entire scenes to locate objects frame-by-frame and are commonly computationally expensive because they use image convolutions. Alternatively, attention mechanisms track more efficiently by mimicking human optical cognitive interaction to only process small portions of an image. Thus, in this work we use an attention-based approach to create a model called C-DATM (Conditional Dilated Attention tracking Model) that learns to compare target features in a sequence of image-frames using dilated convolutions. The C-DATM is tested using the Modified National Institute of Standards …

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Leveraging Schema Information For Improved Knowledge Graph Navigation, Rama Someswar Chittella Jan 2019

Leveraging Schema Information For Improved Knowledge Graph Navigation, Rama Someswar Chittella

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Over the years, the semantic web has emerged as a new generation of the world wide web featuring advanced technologies and research contributions. It has revolutionized the usage of information by allowing users to capture and publish machine-understandable data and expedite methods such as ontologies to perform the same. These ontologies help in the formal representation of a specified domain and foster comprehensive machine understanding. Although, the engineering of ontologies and usage of logic have been an integral part of the web semantics, new areas of research such as the semantic web search, linking and usage of open data on …

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Geographic Profiling: Contributions To The Investigation Of Serial Murders, Beth Nichols Jan 2019

Geographic Profiling: Contributions To The Investigation Of Serial Murders, Beth Nichols

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Most research studies have focused on profiling serial killers but have not heavily utilized geographic profiling to complete this work. The purpose of this study is to determine whether geographic profiling software programs can assist in serial murder cases. The study will utilize CrimeStat geographical profiling software to look at the significance of disposal or dump sites, the residence of the killer, and the distance between the dumpsite and the serial killer’s residence. This research utilizes a mix -methods approach (case studies and GIS analysis) to analyze five solved case studies of male serial murderers to determine whether they live …

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Static Evaluation Of Type Inference And Propagation On Global Variables With Varying Context, Ivan Frasure Jan 2019

Static Evaluation Of Type Inference And Propagation On Global Variables With Varying Context, Ivan Frasure

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Software reverse engineering (SRE) is a broad field with motivations ranging from verifying or documenting gordian source code files to understanding and reimplementing binary object files and executables. SRE of binaries is exceptionally compelling and challenging due to large amounts of information that can be lost in the compilation progress. A central area in SRE is type inference. Type inference is built around a fundamental step in understanding the behavior of a binary, recovering the types of data in the program. Type inference has many unique techniques in both static and dynamic type inference systems that have been implemented in …

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Using Cfd To Improve Off-Design Throughflow Analysis, Troy J. Lanchman Jan 2019

Using Cfd To Improve Off-Design Throughflow Analysis, Troy J. Lanchman

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In turbomachinery design, complex internal flows give rise to significant losses and blockage whose effects are difficult to properly analyze without detailed computational fluid dynamics (CFD) methods or experiments. In a typical design method, CFD is used in conjunction with simpler throughflow or cascade codes to hasten the process. However, the lesser physical accuracy of the design codes demands the inclusion of models to improve the accuracy of the throughflow codes. This thesis aims to use CFD data to generate improved loss and blockage models for a 2D compressor throughflow code by matching throughflow data to CFD data using optimizations. …

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The Development Of The Human-Automation Behavioral Interaction Task (Habit) Analysis Framework, Isabelle Catherine Baird Jan 2019

The Development Of The Human-Automation Behavioral Interaction Task (Habit) Analysis Framework, Isabelle Catherine Baird

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Complex systems involve the collaboration of automated agents and goal-oriented human operators in a dynamic environment, and dynamic environments required dynamic automation. The implementation of automation fundamentally changes the nature of the cognitive demands by means of changing the role of the human operator. The augmentation of operator situation awareness has become a major design objective in the development of human-automated systems. Extensive literature identified the out-of-the-loop performance problem as a human-automation interaction challenge. This thesis presents the Human-Automation Behavioral Interaction Task (HABIT) Analysis, as a novel approach to assessing human-automation interaction challenges, such as out-of-the-loop consequences. The novel framework …

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Anticipation In Dynamic Environments: Deciding What To Monitor, Zohreh A. Dannenhauer Jan 2019

Anticipation In Dynamic Environments: Deciding What To Monitor, Zohreh A. Dannenhauer

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In dynamic environments, external changes may occur that may affect planning decisions and goal choices. We claim that an intelligent agent should actively watch for what can go wrong and anticipate changes in the environment that allows the changing of its plan or changing of a given goal. In this thesis, we focus on the relationship between perception, act, interpretation, and planning. We claim that these components are not independent and need to interact with each other to help the agent succeed in achieving its goals and plans. If newly encountered world information affects the plan, the agent adapts to …

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Digital Instantaneous Frequency Measurement Receiver For Fine Frequency And High Sensitivity, Bilal Khudhur Abdulhammed Abdulhamed Jan 2019

Digital Instantaneous Frequency Measurement Receiver For Fine Frequency And High Sensitivity, Bilal Khudhur Abdulhammed Abdulhamed

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Wideband technology has been applied to many wide bandwidth applications when there is a need to send much different information in a short time from one point and received from another point in high precision and accuracy. A wideband receiver reports a signal without tuning if the signal is within the input bandwidth. The analog Instantaneous Frequency Measurement (IFM) receiver has been used for decades to cover a very wide input bandwidth and report one accurate frequency on a short pulse at a time. The digital IFM use a high sampling rate ADC to operate in a wide bandwidth, Hilbert …

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Prevalence Visual Search: Optimal Performance And The Description-Experience Gap, Hanshu Zhang Jan 2019

Prevalence Visual Search: Optimal Performance And The Description-Experience Gap, Hanshu Zhang

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Real-world visual search differs significantly from the laboratory task. One distinct feature is that most targets in real-world visual search are low prevalence. Considering the important practical connections between the laboratory study and applied research, there has been a resurgence in exploring prevalence effects on visual search performance, especially the effect that targets are more likely to be missed when they have low prevalence. Though there is a consensus that target misses are due to a liberal criterion, previous studies failed to consider the potentiality of optimal performance from the perspective of Signal Detection Theory, which also predicts a the …

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Software Implementations And Applications Of Elliptic Curve Cryptography, Kirill Kultinov Jan 2019

Software Implementations And Applications Of Elliptic Curve Cryptography, Kirill Kultinov

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Elliptic Curve Cryptography (ECC) is a public-key cryptography system. Elliptic Curve Cryptography (ECC) can achieve the same level of security as the public-key cryptography system, RSA, with a much smaller key size. It is a promising public key cryptography system with regard to time efficiency and resource utilization. This thesis focuses on the software implementations of ECC over finite field GF(p) with two distinct implementations of the Big Integer classes using character arrays, and bit sets in C++ programming language. Our implementation works on the ECC curves of the form y^2 = x^3 + ax + b (mod p). The …

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Vegetation Sensitivity During The Mid-Holocene Warming In Western Ohio, Kristin Kopera Jan 2019

Vegetation Sensitivity During The Mid-Holocene Warming In Western Ohio, Kristin Kopera

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There has been a growing interest in prairie reconstruction in western Ohio, yet there are few recent academic sources supporting the claim that prairies appeared in western Ohio during the mid-Holocene. The hypsithermal was the warmest and driest part of the Holocene and occurred from 8,000-4,000 years ago in the Midwest. During the hypsithermal, the Prairie Peninsula appeared from Minnesota to eastern Ohio. If prairie did appear in Ohio, it occurred during the mid-Holocene hypsithermal. The goal of this study was to determine if western Ohio experienced a prairie period during the hypsithermal using pollen as a proxy for past …

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Rules With Right Hand Existential Or Disjunction With Rowltab, Sri Jitendra Satpathy Jan 2019

Rules With Right Hand Existential Or Disjunction With Rowltab, Sri Jitendra Satpathy

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One hotly debated research topic is, “What is the best approach for modeling ontologies?”. In the earlier stages of modeling ontologies, researchers have favored the usage of description logic to capture knowledge. One such choice is the Web Ontology Language (OWL) that is based on description logic. Many tools were designed around this principle and are still widely being used to model and explore ontologies. However, not all users find description logic to be intuitive, at least not without an extensive background in formal logics. Due to this, researchers have tried to explore other ways that will enable such users …

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Ammonium Cycling And Nitrifier Community Composition In Eutrophic Waters Affected By Cyanobacterial Harmful Algal Blooms, Justyna J. Hampel Jan 2019

Ammonium Cycling And Nitrifier Community Composition In Eutrophic Waters Affected By Cyanobacterial Harmful Algal Blooms, Justyna J. Hampel

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Non-point source nitrogen (N) from agriculture is a main driver of eutrophication in aquatic systems, which often manifests as toxin producing cyanobacterial harmful algal blooms (cyanoHABs). Non-N2 fixing cyanobacteria, such as Microcystis, thrive on chemically reduced N forms (e.g., ammonium (NH4+) and urea) used as the main N form in fertilizer. NH4+ turnover rates are important components of the aquatic N cycle in eutrophic lakes affected by cyanoHABs. Regeneration of NH4+ can contribute to the internal cycling of NH4+, which can sustain cyanoHABs when external loads are low. Additionally, NH4+ uptake by cyanobacteria competes directly with nitrification, another important pathway …

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A Model To Optimize Major Trauma Network Considering Patient Safety, Monit D. Vaishnav Jan 2019

A Model To Optimize Major Trauma Network Considering Patient Safety, Monit D. Vaishnav

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Trauma is any physical injury that has the potential to cause prolonged disability and death if the appropriate level of care is not administered in a timely fashion. Existing approaches in the literature and by the American College of Surgeons (ACS) to optimize the network of trauma centers are limiting. To address this challenge, we introduce the Trauma Network Design Problem, a bi-objective mathematical model that aims at determining the optimal trauma network by minimizing the weighted sum of mistriages. We use the trauma network data from 2012 for the state of Ohio to illustrate the use of our approach …

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Neurobehavioral Effects Of Multi-Tasking, Elizabeth Lynn Fox Jan 2019

Neurobehavioral Effects Of Multi-Tasking, Elizabeth Lynn Fox

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The progression of technology and adaptive automation has shown tremendous promise in reducing both physical and mental task demands, while allowing the maintenance or improvement of overall performance. Consequently, a user is able to maintain task performance with relatively more ease and reallocate spare time and energy to additional tasks. Quantifying the resources that one has left is an ongoing, relatively open, research objective for human factors psychologists. Here, we created a standardized, individual-level metric to serve as an estimate of multi-tasking efficiency. We go beyond just rank-order, or categorical labels of suffering from, benefiting from, or adequately maintaining performance …

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Development Of A Computer Program For Transient Heat Transfer Coefficient Studies, Sri Prithvi Samrat Samayamantula Jan 2019

Development Of A Computer Program For Transient Heat Transfer Coefficient Studies, Sri Prithvi Samrat Samayamantula

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At the present time, the magnitude of transient convective heat transfer is approximated using heat transfer coefficient correlations developed for steady state conditions. This is done by necessity, as transient heat transfer correlations are not readily available. There is a rare transient heat transfer correlation found in the literature, but the number of correlations available can be counted on one hand. In addition, the literature does provide some plots of Nusselt numbers for specific cases of transient convective heat transfer, but these are limited to the specific case for which they were developed. The work presented in this thesis is …

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The Response Of M0, M1, And M2 Raw246.7 Macrophage Cell Line To Hsv-1 Infection In Vitro, Amani Mohammed Alhazmi Jan 2019

The Response Of M0, M1, And M2 Raw246.7 Macrophage Cell Line To Hsv-1 Infection In Vitro, Amani Mohammed Alhazmi

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Herpes Simplex Virus Type 1 (HSV-1) infection occurs through the epithelial cells of the skin or mucous membranes. The beginning of the primary infection is rapid and is characterized by pain in the mouth, salivation, and submandibular lymphadenitis. The infected mucosa produces numerous, small and red lesions known as cold sores, however, many cases are asymptomatic. After the primary infection HSV-1 moves through the nerve to stay in trigeminal ganglia and to cause a recurrent infection from time to time. In the early hours of the HSV-1 infection, the cytokines produced by infected cells are critical in the stimulation of …

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The Effects Of Socs1 And Socs3 Peptide Mimetics On Macrophage Phagocytosis Of Malignant Cells, Tahirah M. Madkhali Jan 2019

The Effects Of Socs1 And Socs3 Peptide Mimetics On Macrophage Phagocytosis Of Malignant Cells, Tahirah M. Madkhali

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Macrophages are essential phagocytic cells involved in both innate and adaptive immune systems and play vital roles in the host defense and inflammation. Macrophages have a remarkably high capacity to clear unnecessary cellular materials in interstitial environment through a process called “phagocytosis”, which is affected by many factors including suppressors of cytokine signaling (SOCS). SOCSs are a group of intracellular proteins that downregulate the cytokine signals involved in various JAK/STAT pathways through a negative feedback loop. This study focuses on investigating the effects of SOCS1 and SOCS3 on the phagocytic ability of RAW 264.7 macrophages polarized into M2a with IL-4/IL-13 …

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Recognition Of Incomplete Objects Based On Synthesis Of Views Using A Geometric Based Local-Global Graphs, Michael Christopher Robbeloth Jan 2019

Recognition Of Incomplete Objects Based On Synthesis Of Views Using A Geometric Based Local-Global Graphs, Michael Christopher Robbeloth

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The recognition of single objects is an old research field with many techniques and robust results. The probabilistic recognition of incomplete objects, however, remains an active field with challenging issues associated to shadows, illumination and other visual characteristics. With object incompleteness, we mean missing parts of a known object and not low-resolution images of that object. The employment of various single machine-learning methodologies for accurate classification of the incomplete objects did not provide a robust answer to the challenging problem. In this dissertation, we present a suite of high-level, model-based computer vision techniques encompassing both geometric and machine learning approaches …

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Processing And Properties Of Multifunctional Two-Dimensional Nanocomposite Based On Single Wall Carbon Nanotubes, Ali M. Al Mafarage Jan 2019

Processing And Properties Of Multifunctional Two-Dimensional Nanocomposite Based On Single Wall Carbon Nanotubes, Ali M. Al Mafarage

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Truly single layer (monolayer) films of unmodified zigzag single-walled carbon nanotubes by using the Langmuir-Blodgett (LB) technique have been processed successfully. Measurements of their mechanical and optoelectric properties were achieved. Different theoretical equations were used based on the results obtained from the experimental part to study the properties and structures of the produced material and their composite. The produced films were highly oriented as determined by polarized Raman spectroscopy and as shown by scanning tunneling microscopy (STM). The films have a significant amount of flexibility which makes their behavior similar to rubbery materials. They can also be deposited on different …

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Mapping Of Suspected Unmarked Burials As High Resistivity Anomalies At The Stevenson Cemetery Near Xenia, Ohio, Philip Alexander Marsh Jan 2019

Mapping Of Suspected Unmarked Burials As High Resistivity Anomalies At The Stevenson Cemetery Near Xenia, Ohio, Philip Alexander Marsh

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The purpose of this thesis was to further study geophysical anomalies discovered and mapped by Shank (2013) at the Stevenson Cemetery, Greene County, Ohio, with the goal of delineating any resistivity anomaly possibly associated with suspected, but unmarked, burial sites. The previous study delineated geophysical anomalies using electromagnetic (EM), magnetic, and ground penetrating radar surveys, which were interpreted to represent unmarked burial sites. A hand-drawn map from the 1950’s shows a pattern of gravesites across this area, and three aligned subtle depressions are present at the surface in the study area. The focus of this study was to expand the …

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Knowledge Graph Reasoning Over Unseen Rdf Data, Bhargavacharan Reddy Kaithi Jan 2019

Knowledge Graph Reasoning Over Unseen Rdf Data, Bhargavacharan Reddy Kaithi

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In recent years, the research in deep learning and knowledge engineering has made a wide impact on the data and knowledge representations. The research in knowledge engineering has frequently focused on modeling the high level human cognitive abilities, such as reasoning, making inferences, and validation. Semantic Web Technologies and Deep Learning have an interest in creating intelligent artifacts. Deep learning is a set of machine learning algorithms that attempt to model data representations through many layers of non-linear transformations. Deep learning is in- creasingly employed to analyze various knowledge representations mentioned in Semantic Web and provides better results for Semantic …

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Supersonic Euler And Magnetohydrodynamic Flow Past Cones, Ian C. Holloway Jan 2019

Supersonic Euler And Magnetohydrodynamic Flow Past Cones, Ian C. Holloway

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This work contains the derivation and type analysis of the conical Euler and Ideal Magnetohydrodynamic equations. The 3 dimensional Euler equations and the Ideal MHD equations with Powell source terms, subject to the assumption that the solution is conically invariant, are projected onto a unit sphere using tools from tensor calculus. Conical flows provide valuable insight into supersonic and hypersonic flow past bodies, but are simpler to analyze and solve numerically. Previously, work has been done on conical inviscid flows governed by the compressible Euler equations with great success. It is known that some flight regimes involve flows of ionized …

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Non-Deterministic Metamodeling For Multidisciplinary Design Optimization Of Aircraft Systems Under Uncertainty, Daniel L. Clark Jr. Jan 2019

Non-Deterministic Metamodeling For Multidisciplinary Design Optimization Of Aircraft Systems Under Uncertainty, Daniel L. Clark Jr.

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To make coupled multi-physics-informed design decisions, multidisciplinary analysis, design optimization and uncertainty quantification must be present to accurately represent the full system under investigation. Unfortunately, all of these processes are computationally demanding, requiring a large number of system evaluations with identified uncertain variables, and iterative system evaluations with respect to the design variables of interest. Surrogate or metamodels are used to alleviate the computational burden in both these design exploration activities by trading accuracy with efficiency. The primary objective of this dissertation is to develop a flexible surrogate modeling technique capable of quantifying the uncertainty of multidisciplinary systems in an …

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Silver Nanoparticles: An Effective Antibacterial Agent Against Gram-Negative Bacteria, Ashley M. Wilcox Jan 2019

Silver Nanoparticles: An Effective Antibacterial Agent Against Gram-Negative Bacteria, Ashley M. Wilcox

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A fourth of the world’s population lack access to safe water, thus the need for a more effective water treatment is imperative. Interest in silver nanoparticles (AgNPs) has grown in the last decade. Unlike chlorine, AgNPs do not form disinfection by products (DBPs), making them a prime candidate for drinking water treatment. The main aim of this study was to compare the antibacterial activity of electrochemical silver nanoparticles (eAgNPs-f) of ~5 nm in diameter against well-established pathogens: Escherichia coli (E. coli), Klebsiella variicola (K. variicola), and Pseudomonas aeruginosa (P. aeruginosa) to chlorine and Ag+ for drinking water. This was achieved …

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The Effect Of Emotional Competencies On Team Functioning, Morgan R. Borders Jan 2019

The Effect Of Emotional Competencies On Team Functioning, Morgan R. Borders

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Collaboration, cohesion, and trust within teams can lead to beneficial outcomes such as innovation, speed of innovation delivery, enhanced creativity, and improved performance. Because of the prevalence of teams in the workforce, it is important that teams function at their highest capacity. One way to enhance team functioning may be to improve emotional intelligence (EI) in team members. Research has shown that higher EI is related to individual benefits such as stress resilience, better communication, relationship satisfaction, and improved performance. Team benefits of higher EI include greater cohesion, cooperation, trust, and performance. This study examined whether an emotional competency training …

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Tapped-Inductor Buck Dc-Dc Converter, Ankit Chadha Jan 2019

Tapped-Inductor Buck Dc-Dc Converter, Ankit Chadha

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There is a high demand for low step-down dc voltage conversions. Many conventional power converters that are currently being used have a moderate conversion ratio and this may not be sufficient to meet the demand. This can be achieved by either cascading power converters or using converters with a low step-down conversion ratio. Cascading the converters increases the power conversion stage complexity and increase the order of the system, while also affecting the stability. Using converters with a high conversion ratio seems to be a more intelligent option to root. This dissertation tackles to analyze one such converter, called tapped-inductor …

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Lead In Tap Water Of Public Schools Near Dayton, Ohio, Baylee Stark Jan 2019

Lead In Tap Water Of Public Schools Near Dayton, Ohio, Baylee Stark

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Lead (Pb) is a human-health concern, especially with regard to exposures of children. Lead contaminated drinking water is a primary route of exposure for children; however, water sampling for Pb is voluntary in schools with a public water supply. This study examined Pb in tap water from public schools around Dayton, OH. Schools were selected to span a range of ages (construction year) and community socioeconomic status. Of the 28 schools contacted, seven responded "affirmatively" to sampling, two responded "negatively", and 19 did not respond. None of the schools that were sampled had Pb concentrations exceeding the U.S. EPA guidelines …

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Leveraging Blockchain To Mitigate The Risk Of Counterfeit Microelectronics In Its Supply Chain, Aman Ali Pogaku Jan 2019

Leveraging Blockchain To Mitigate The Risk Of Counterfeit Microelectronics In Its Supply Chain, Aman Ali Pogaku

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System on Chip (SoC) is the backbone component of the electronics industry nowadays. ASIC and FPGA-based SoCs are the two most popular methods of manufacturing SoCs. However, both ASIC and FPGA industries are plagued with risks of counterfeits due to the limitations in Security, Accountability, Complexity, and Governance of their supply chain management. As a result, the current practices of these microelectronics supply chain suffer from performance and efficiency bottlenecks. In this research, we are incorporating blockchain technology into the FPGA and ASIC microelectronic supply chain to help mitigate the risk of counterfeit microelectronics through a secure and decentralized solution …

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Fault-Tolerant Mapping And Localization For Quadrotor Uav, Maximillian Andrew Gilson Jan 2019

Fault-Tolerant Mapping And Localization For Quadrotor Uav, Maximillian Andrew Gilson

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This research aims to accomplish three main tasks for a quadrotor UAV with mapping and navigation capabilities. Firstly, a Simultaneous Localization and Mapping (SLAM) system is developed utilizing a laser rangefinder an open source SLAM algorithm called GMapping. This system allows for mapping of the surrounding environment as well as localizing the position of the quadrotor, enabling position control. Secondly, several path planning algorithms were implemented and evaluated. This allows the quadrotor to navigate through the environment even in the presence of obstacles. Lastly, to compensate for possible faults in the SLAM measurements, a fault-tolerant control method is developed. Real-time …

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