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Articles 271 - 300 of 9636
Full-Text Articles in Entire DC Network
Measured Phase History Data For Target Recognition Studies, Gregory A. Seltzer
Measured Phase History Data For Target Recognition Studies, Gregory A. Seltzer
Browse all Theses and Dissertations
Performing automatic target recognition (ATR) on full-size aircraft targets using inverse synthetic aperture radar (ISAR) data is challenging and expensive. The use of scale models and radar systems of such large targets saves time and reduces facility requirements. This study examines the feasibility of performing ATR on 1:144 scale model airplanes at Ka-band. The scale model and Ka-band radar simulate the collection of full-scale targets at VHF-band. The phase history measurement collections were completed in the Sensors and Signals Exploitation Laboratory (SSEL) at Wright State University. To ensure sufficient data for training and testing, the phase history data was augmented …
Application Of Multiple Data Augmentation Techniques To Improve Training With Synthetic Sar Data In Common Cnn, Stephanie M.V. Saich
Application Of Multiple Data Augmentation Techniques To Improve Training With Synthetic Sar Data In Common Cnn, Stephanie M.V. Saich
Browse all Theses and Dissertations
To address the issues of limited target data in the Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) problem set, synthetic data is often used to aid in filling the gap. This paper covers an in depth look at the use of colorization, dynamic range adjustment, and target extraction as data augmentation techniques to improve the accuracy of deep learning networks trained on synthetic SAR data. The use of multiple different data augmentations combine to dramatically improve the accuracy of a common Convolutional Neural Network (CNN) over the use of standard synthetic data. A comparison of increasing fraction of measured …
Multi-Semantic-Stage Neural Networks For Robust And Interpretable Deep Learning, Christopher J. Menart
Multi-Semantic-Stage Neural Networks For Robust And Interpretable Deep Learning, Christopher J. Menart
Browse all Theses and Dissertations
Deep neural networks have great representational power. However, most deep neural nets today optimize directly for performance on a single task defined only by labeled training data. This excludes potential sources of knowledge and ways of learning which could improve their performance, and address challenges, such as explainability, which are pressing to the field. We propose a framework for neural network architecture which generalizes it to a graph of many semantically-meaningful variables. We call it the Multi-Semantic-Stage Neural Network (MSSNN). An MSSNN models its domain as a web of conditional probabilities, i.e. a collection of inter-related tasks which can learn …
Electrochemical-Thermal Model Of A Lithium-Ion Battery, Paul Kalungi
Electrochemical-Thermal Model Of A Lithium-Ion Battery, Paul Kalungi
Browse all Theses and Dissertations
Lithium-ion batteries are an integral component of energy storage systems for renewable energy applications owing to their high energy density. Extensive research has therefore been carried out, utilizing both experimental and computational methods, to aid in a deeper understanding of lithium-ion batteries. Challenges related to efficiency, safety and thermal management persist, particularly during high current draw, extreme temperature conditions and extreme dynamic current operation such as in electric vehicles. This thesis work presents an electrochemical-thermal model of a lithium-ion battery that simulates and analyzes the variation of electrical behavior, chemical behavior and thermal behavior. The electrochemical model is developed by …
Empirical Investigation Of Calibration Targets In Thz In The Near Field From 550 To 700 Ghz, Anais Kypris L. Rawson
Empirical Investigation Of Calibration Targets In Thz In The Near Field From 550 To 700 Ghz, Anais Kypris L. Rawson
Browse all Theses and Dissertations
The uncertainty of the standard calibration procedure for radar cross-section (RCS) measurement is studied for different targets measured in the near-field from 550 to 700 GHz. Using common calibration spheres and squat cylinders mounted on a styrofoam pedestal at waterline (zero-degrees elevation), the calibration difference measure is determined for each target. Similarly, the difference metric is determined for square trihedral and tophat targets placed on a ground plane and measured at different elevation angles. The mean calibration measure is calculated using the dual calibration target method and repeated measurements in an anechoic chamber. The specific THz system is described and …
Pneumonia Detection With Limited And Imbalanced Data Using Energy-Based Out-Of-Distribution Technique, Jasbin Karki
Pneumonia Detection With Limited And Imbalanced Data Using Energy-Based Out-Of-Distribution Technique, Jasbin Karki
Browse all Theses and Dissertations
The automated detection of pneumonia through chest X-ray presents a critical challenge in medical diagnostics, particularly due to the restrictions of limited and imbalanced chest X-ray data for training AI models. Traditional methods that depend on softmax confidence scores can be overconfident even when generating erroneous outputs especially when they are processing completely new inputs, leading to unreliable diagnostic results. This research addresses challenges in AI models which aim to develop a robust pneumonia detection system using an Energy-Based Out-of-Distribution (OOD) technique that can work effectively even with limited and imbalanced data. The study focused on creating a more reliable …
Test-Time Backdoor Attack Using Universal Perturbation, Jesse Alexander Smith
Test-Time Backdoor Attack Using Universal Perturbation, Jesse Alexander Smith
Browse all Theses and Dissertations
The rapid growth and widespread reliance on machine learning (ML) systems across critical applications such as healthcare, autonomous driving, and cybersecurity have un- derscored their transformative potential and heightened their susceptibility to adversarial attacks and vulnerabilities. This thesis investigates vulnerabilities in ML models, focusing on backdoor attacks, including naive backdoor attack, feature collision backdoor attack, hidden trigger backdoor attack, and test-time backdoor attack using universal perturbation technique. These methodologies demonstrate how adversaries can automate and conceal malicious behaviors to achieve specific objectives, posing significant challenges to ML model integrity and trustworthiness. The research provides a comprehensive analysis of the theoretical …
Foreign Policy And International Power: The Effects Of The Us War In Afghanistan On India's Afghanistan Policy, Brian W. Storch
Foreign Policy And International Power: The Effects Of The Us War In Afghanistan On India's Afghanistan Policy, Brian W. Storch
Browse all Theses and Dissertations
India’s compliance to the United States’ regional ambitions following the 2001 invasion of Afghanistan demonstrated a unique re-alignment that reversed India’s historic defiance of international powers pursued since its independence. Instead of resisting the United States or seeking to disengage from the Afghan conflict, India provided aid to the new regime but did not extend military assistance because of limits set by the United States to appease Pakistan. India complied and increased cooperation with the United States despite the disadvantages this compliance presented. It will be argued that the structure of the international system enforcing US hegemony primarily influenced India’s …
Performance Degradation Of Gan Hemts Under Rf Aging: Implications For Wireless Communications Standards, Nathan Grant
Performance Degradation Of Gan Hemts Under Rf Aging: Implications For Wireless Communications Standards, Nathan Grant
Browse all Theses and Dissertations
This study examines the aging effects of GaN HEMTs, focusing on the CG2H40010 device under conditions that mimic the high-power, high-frequency environments of wireless communication systems. With the increasing adoption of GaN technology in RF applications, understanding its degradation mechanisms under CW stress and modulated signal characterization is essential for predicting device lifetime and ensuring performance standards for modern communication systems. RFALT was employed to stress the device using CW signals, while key performance metrics, such as gain compression, gate leakage, ACP, and EVM, were assessed using W-CDMA signals to replicate real-world dynamic stresses. The findings reveal that CW stress …
Novel Approaches To Treatment Of Hyperexcitability In Skeletal Muscle, Phillip Vance Walker Ii
Novel Approaches To Treatment Of Hyperexcitability In Skeletal Muscle, Phillip Vance Walker Ii
Browse all Theses and Dissertations
Myotonia Congenita (MC) is a rare, inherited ion channelopathy caused by a loss-of-function mutation in the CLCN1 gene. The resulting downregulation of the skeletal muscle chloride channel (ClC-1) results in hyperexcitable skeletal muscle fibers that fire action potentials involuntarily. Patients with MC suffer from debilitating stiffness due to myotonia, described clinically as delayed muscle relaxation following voluntary contraction. Skeletal muscle is a unique system we use in this study to advance our understanding of the pathophysiology underlying MC, and other channelopathies characterized by hyperexcitable cells (i.e., forms of epilepsy and cardiac arrhythmia). Furthermore, re-assessing what makes anti-myotonic drugs such as …
A Novel In-Vitro Approach To Investigate The Molecular Interaction Between Inhaled Particles And The Human Pulmonary Surfactant System, Bryan Mayville
A Novel In-Vitro Approach To Investigate The Molecular Interaction Between Inhaled Particles And The Human Pulmonary Surfactant System, Bryan Mayville
Browse all Theses and Dissertations
The deployment of military personnel to austere environments poses significant pulmonary health risks from inhalation of particulates including sand, dust, pollution, and heavy machinery exhaust. When particles are less than 10 µm in diameter, they can penetrate deep within the alveoli and embed within the protective lung surfactant monolayer. Here, absorption of surfactant lipids to the particle surface disrupts the essential monolayer configuration needed to reduce surface tension and prevent atelectasis, thus leading to disease. Currently, there are no in vitro surfactant-producing lung cell models capable of studying the effects of inhaled particles on the human pulmonary surfactant system. A549 …
Insights Into Hyperkalemic Periodic Paralysis: Novel Mechanisms And Treatments, Christopher Dupont
Insights Into Hyperkalemic Periodic Paralysis: Novel Mechanisms And Treatments, Christopher Dupont
Browse all Theses and Dissertations
Hyperkalemic Periodic Paralysis (hyperKPP) is an inherited channelopathy that leads to incapacitating episodes marked by severe skeletal muscle weakness or total paralysis, often accompanied by muscular stiffness (myotonia). The periods of muscle dysfunction are thought to be caused by the elevation in extracellular potassium (K). This autosomal dominant disorder is associated with mutations in the skeletal muscle voltage-gated sodium channel (Nav1.4). A multitude of inciting factors have been documented, including rest post-exertion, a potassium-rich diet, exposure to cold temperatures, psychological stressors, and fatigue. Given the variability of the triggers and the debilitating manifestation of symptoms, individuals afflicted by hyperKPP have …
Semantics-Aware Text-Guided Aerial Image Synthesis By Feature Augmented Diffusion Models, Douglas J. Townsell
Semantics-Aware Text-Guided Aerial Image Synthesis By Feature Augmented Diffusion Models, Douglas J. Townsell
Browse all Theses and Dissertations
Aerial imagery provides crucial insights for various fields, including remote monitoring, environmental assessment, and autonomous navigation. However, the availability of aerial image datasets is limited due to privacy concerns and imbalanced data distribution, impeding the development of robust deep learning models. While recent text-guided generative models have shown promise in synthesizing high-quality images, they fall short in handling the unique challenges of aerial imagery, including densely packed objects, intricate spatial relationships, and the absence of paired text-aerial image datasets. To tackle these limitations, we propose STARS, a groundbreaking framework for Semantic-aware Text-guided Aerial image Refinement and Synthesis. STARS introduces a …
Comparative Analysis Of Motoneuronal C-Bouton Structural Alterations In Als And Aging, Shelby Nicole Ward
Comparative Analysis Of Motoneuronal C-Bouton Structural Alterations In Als And Aging, Shelby Nicole Ward
Browse all Theses and Dissertations
Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by motor neuron (MN) death resulting in paralysis and eventually death. ALS has greater prevalence in older populations sharing characteristics with aging like muscle weakness and MN type specific degeneration. MNs innervate skeletal muscles and control muscle contraction through their excitability which is altered in both conditions. C-Boutons are a cholinergic, excitatory synaptic input to MNs and have been studied in ALS and aging but have produced inconsistent findings and undesired gaps. We used immunohistochemistry to label mouse lumbar spinal cord and separate MN types. 60x imaging and automated analysis was …
Studies Of Selective And Reversible Inhibitors Of Calcium Entry In Immune Cells, Naga Lakshmi Gandi
Studies Of Selective And Reversible Inhibitors Of Calcium Entry In Immune Cells, Naga Lakshmi Gandi
Browse all Theses and Dissertations
Calcium signaling is a crucial regulator in many cellular processes, from immune response modulation to gene expression and apoptosis. Here, I have investigated the dynamics of calcium entry pathways, namely, store-operated calcium entry and store-independent calcium entry using a variety of cell types such as Jurkat T cells, HEK-293 cells and murine macrophages. Using fluorescence calcium imaging and selective inhibitor compounds, I have investigated the contributions of Orai and related calcium channels to calcium entry in both immune and non-immune cell types. The results demonstrate the pharmacological modulation of store-operated and store-independent calcium entry, showing the ability of compounds such …
Sex-Driven Alterations In Aging Alpha Motoneurons: Exploring Size, Type, Density, And Kv2.1 Channel Expression, Kalin R. Gerber
Sex-Driven Alterations In Aging Alpha Motoneurons: Exploring Size, Type, Density, And Kv2.1 Channel Expression, Kalin R. Gerber
Browse all Theses and Dissertations
This research explores how motor neurons (MNs) and Kv2.1 clustering change with age, emphasizing sex differences and MN subtypes. We found that MN density decreases with age in both sexes, while soma size increases in male mice. FF MNs were the most affected, and old weak mice had smaller MNs than their stronger counterparts, underscoring FF MN vulnerability. Baseline studies revealed that FF and FI MNs have larger Kv2.1 clusters compared to FR and S MNs. Female mice had smaller, denser Kv2.1 clusters than male mice, suggesting less clustering in females. With age, Kv2.1 clusters grew larger but became less …
Graph-Centric Bot Detection: Addressing Extreme Data Imbalances, Heterophily, And Scarcity, Bradley T. Ashmore
Graph-Centric Bot Detection: Addressing Extreme Data Imbalances, Heterophily, And Scarcity, Bradley T. Ashmore
Browse all Theses and Dissertations
The digital landscape is ever-evolving. In recent years the amount of bot traffic, traffic generated by autonomous applications over the internet has increased significantly. Many bots perform useful and needed functions, however, malicious bots are known sources of both common and emerging security threats. Denial-of-Services (DoS), information theft, and credential stuffing have all been conducted by malicious software running on unknowingly infected machines. The dichotomy of useful bots operating in the same networks as malicious bots combined with novel bot attacks and an ever-increasing number of personal devices connecting to the Internet drives the need for continued advancement of malicious …
A Trusted Adversarial Ml Countermeasure Approach For Secure And Resilient Ai-Driven Hardware Trojan Detection, Mohammed G M Alkurdi
A Trusted Adversarial Ml Countermeasure Approach For Secure And Resilient Ai-Driven Hardware Trojan Detection, Mohammed G M Alkurdi
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Semiconductor microelectronics Integrated Circuits (ICs) are increasingly integrated into critical life applications including medical, aerospace, and Internet of things. Their increasing importance as a technology gave rise to critical concerns regarding their security. This has led to the focus of the research community on hardware Trojans, which are malicious modifications to the ICs with undesirable outcomes. Their detection is becoming increasingly critical, with many researchers proposing methods to do so such as reverse engineering, logic testing, and side-channel analysis. Many of these proposals utilize machine learning methods to detect these malicious modifications with high accuracy and confidence. However, machine learning …
Role Of Urban Parks In Carbon Sequestration– A Case Study Of Safari Park, Karachi, Pakistan, Amna Bano, Minzah Shehzad, Hasnain Kazmi, Jamshaid Iqbal
Role Of Urban Parks In Carbon Sequestration– A Case Study Of Safari Park, Karachi, Pakistan, Amna Bano, Minzah Shehzad, Hasnain Kazmi, Jamshaid Iqbal
Journal of Bioresource Management
Urban parks besides their recreational use can be the potential source of climate mitigation through carbon sequestration. Present study aims to identify the carbon sequestration potential of Safari Park which is by far the largest public park of Karachi established in 1970 covering an area of 0.72 km2. A total of 153 individual trees belonging to 25 species and 14 families were included in the study. Five dominant species with highest Important Value Index (IVI) were Cocos nucifera (14.62 %), Azadirachta indica (14.21 %), Guaiacum officinale (9.93 %), Washington robusta (9.31 %) and Delonix regia (7.11 %). The …
Review On Therapeutic Potential Of Phytochemicals From Medicinal Plants, Iqra Afzal, Ume Habiba, Humaira Yasmeen
Review On Therapeutic Potential Of Phytochemicals From Medicinal Plants, Iqra Afzal, Ume Habiba, Humaira Yasmeen
Journal of Bioresource Management
Nature has provided plants with a vast range of phytochemicals. These phytochemicals are enriched with different pharmacological activities. These pharmacological activities have a potential to be wisely used for therapeutic purpose. It can be utilized in so many ways for the expansion of therapeutic strategies. With the advancement in the field of medicine and due to increasing side effects of synthetic medicines there emerges a need to discover novel therapeutic remedies. Medicinal plants serve as the best source for the manufacture of new remedies for many diseases. Medicinal plants bear a potential towards treating incurable chronic diseases. The aim of …
Isolation And Characterization Of Microbes From Agricultural Fields And Their Evaluation For The Control Of Plant Pests, Hira Liaqat Ali, Sumaira Mazhar, Afeefa Chaudhry
Isolation And Characterization Of Microbes From Agricultural Fields And Their Evaluation For The Control Of Plant Pests, Hira Liaqat Ali, Sumaira Mazhar, Afeefa Chaudhry
Journal of Bioresource Management
Plant diseases due to pests cause huge loss to crop fields every year. For the control of plant pest, pesticides are under use. Fusarium wilt is caused by phytopathogen Fusarium oxysporum. More than 100 species were affected due to this disease caused by this virus. Fungi also affect onion plant crop yield every year, when chemical pesticides are applied to onion crop field. It will increase the cost of onion production and it is also dangerous for the environment and living organism other than the targeted pests. A number of microorganisms like fungi, bacteria and nematode are currently being …
College Of Graduate Programs And Honors Studies Newsletter - December 2023, College Of Graduate Programs And Honors Studies, Wright State University
College Of Graduate Programs And Honors Studies Newsletter - December 2023, College Of Graduate Programs And Honors Studies, Wright State University
College of Graduate Programs and Honors Studies Newsletter
A five page newsletter created by the College of Graduate Programs and Honors Studies at Wright State University. This newsletter includes a upcoming events, message from the dean, and more.
Cvii: Enhancing Interpretability In Intelligent Sensor Systems Via Computer Vision Interpretability Index, Hossein Mohammadi, Krishnaprasad Thirunarayan, Lingwei Chen
Cvii: Enhancing Interpretability In Intelligent Sensor Systems Via Computer Vision Interpretability Index, Hossein Mohammadi, Krishnaprasad Thirunarayan, Lingwei Chen
Computer Science and Engineering Faculty Publications
In the realm of intelligent sensor systems, the dependence on Artificial Intelligence (AI) applications has heightened the importance of interpretability. This is particularly critical for opaque models such as Deep Neural Networks (DNN), as understanding their decisions is essential, not only for ethical and regulatory compliance, but also for fostering trust in AI-driven outcomes. This paper introduces the novel concept of a Computer Vision Interpretability Index (CVII). The CVII framework is designed to emulate human cognitive processes, specifically in tasks related to vision. It addresses the intricate challenge of quantifying interpretability, a task that is inherently subjective and varies across …
The Guardian The Month Of December 2023, Wright State Student Body
The Guardian The Month Of December 2023, Wright State Student Body
The Guardian Student Newspaper
News articles from The Guardian for the Month of December 2023. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.
College Of Graduate Programs And Honors Studies Newsletter - November 2023, College Of Graduate Programs And Honors Studies, Wright State University
College Of Graduate Programs And Honors Studies Newsletter - November 2023, College Of Graduate Programs And Honors Studies, Wright State University
College of Graduate Programs and Honors Studies Newsletter
A six page newsletter created by the College of Graduate Programs and Honors Studies at Wright State University. This newsletter includes a upcoming events, message from the dean, and more.
Sarcopenia Is Associated With Osteopenia And Impaired Quality Of Life In Children With Genetic Intrahepatic Cholestatic Liver Disease, Julia Boster, Nathan P. Goodrich, Cathie Spino, Kathleen M. Loomes, Estella M. Alonso, Binita M. Kamath, Ronald J. Sokol, Saul J. Karpen, Alexander Miethke, Benjamin L. Shneider, Jean P. Molleston, Rohit Kohli, Simon P. Horslen, Philip Rosenthal, Pamela L. Valentino, Jeffrey Teckman, Thomas N. Hangartner, Sundaram Shikha
Sarcopenia Is Associated With Osteopenia And Impaired Quality Of Life In Children With Genetic Intrahepatic Cholestatic Liver Disease, Julia Boster, Nathan P. Goodrich, Cathie Spino, Kathleen M. Loomes, Estella M. Alonso, Binita M. Kamath, Ronald J. Sokol, Saul J. Karpen, Alexander Miethke, Benjamin L. Shneider, Jean P. Molleston, Rohit Kohli, Simon P. Horslen, Philip Rosenthal, Pamela L. Valentino, Jeffrey Teckman, Thomas N. Hangartner, Sundaram Shikha
Biomedical, Industrial & Human Factors Engineering Faculty Publications
Background:
Sarcopenia occurs in pediatric chronic liver disease, although the prevalence and contributing factors in genetic intrahepatic cholestasis are not well-described. The objective of this study was to measure muscle mass in school-aged children with genetic intrahepatic cholestasis and assess relationships between sarcopenia, clinical variables, and outcomes.
Methods:
Estimated skeletal muscle mass (eSMM) was calculated on dual-energy x-ray absorptiometry obtained in a Childhood Liver Disease Research Network study of children with bile acid synthesis disorders(BASD) alpha-1 antitrypsin deficiency (a1ATd), chronic intrahepatic cholestasis (CIC), and Alagille syndrome (ALGS). Relationships between eSMM, liver disease, and transplant-free survival were assessed.
Results:
eSMM was …
The Guardian The Month Of November 2023, Wright State Student Body
The Guardian The Month Of November 2023, Wright State Student Body
The Guardian Student Newspaper
News articles from The Guardian for the Month of November 2023. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.
Isscm Newsletter, Fall 2023, Raj Soin College Of Business, Wright State University
Isscm Newsletter, Fall 2023, Raj Soin College Of Business, Wright State University
ISSCM Newsletters
A ten page newsletter from the Department of Information Systems and Supply Chain Management in the Raj Soin College of Business at Wright State University.
Wright State University Magazine, Fall 2023, Wright State Alumni Association And Wright State Foundation
Wright State University Magazine, Fall 2023, Wright State Alumni Association And Wright State Foundation
Wright State University Magazine
Fifty-two page issue of the Wright State University Magazine. This magazine is published twice a year and focuses on news related to Wright State alumni, faculty, staff, and friends of the university.
The Extension Newsletter, Issue 113, Fall 2023, Wright State University Retirees Association
The Extension Newsletter, Issue 113, Fall 2023, Wright State University Retirees Association
The Extension Newsletter
An eight page newsletter from the Wright State University's Retirees Association.