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A Machine Learning Framework For Automatic Speech Recognition In Air Traffic Control Using Word Level Binary Classification And Transcription, Fowad Shahid Sohail 2022 Rowan University

A Machine Learning Framework For Automatic Speech Recognition In Air Traffic Control Using Word Level Binary Classification And Transcription, Fowad Shahid Sohail

Theses and Dissertations

Advances in Artificial Intelligence and Machine learning have enabled a variety of new technologies. One such technology is Automatic Speech Recognition (ASR), where a machine is given audio and transcribes the words that were spoken. ASR can be applied in a variety of domains to improve general usability and safety. One such domain is Air Traffic Control (ATC). ASR in ATC promises to improve safety in a mission critical environment. ASR models have historically required a large amount of clean training data. ATC environments are noisy and acquiring labeled data is a difficult, expertise dependent task. This thesis attempts to ...


Predicting Stochastic Lightning Mechanical Damage Effects On Carbon Fiber Reinforced Polymer Matrix Composites, Juhyeong Lee, Syed Zulfiqar Hussain Shah 2022 Utah State University

Predicting Stochastic Lightning Mechanical Damage Effects On Carbon Fiber Reinforced Polymer Matrix Composites, Juhyeong Lee, Syed Zulfiqar Hussain Shah

Mechanical and Aerospace Engineering Faculty Publications

Three stochastic air blast models are developed with spatially varying elastic properties and failure strengths for predicting lightning mechanical damage to AS4/3506 carbon/epoxy composites subjected to < 100 kA peak currents: (1) the conventional weapon effects program (CWP) model, (2) the coupled eulerianlagrangian (CEL) model, and (3) the smoothed-particle hydrodynamics (SPH) model. This work is an extension of our previous studies [1–4] that used deterministic air blast models for lightning mechanical damage prediction. Stochastic variations in composite material properties were generated using the Box-Muller transformation algorithm with the mean (i.e., room temperature experimental data) and their standard deviations (i.e., 10% of the mean herein as reference). The predicted dynamic responses and corresponding damage initiation prediction for composites under equivalent air blast loading were comparable for the deterministic and stochastic models. Overall, the domains with displacement, von-Mises stress, and damage initiation contours predicted in the stochastic models were somewhat sporadic and asymmetric along the fiber’s local orientation and varied intermittently. This suggests the significance of local property variations in lightning mechanical damage prediction. Thus, stochastic air blast models may provide a more accurate lightning mechanical damage approximation than traditional (deterministic) air blast models. All stochastic models proposed in this work demonstrated satisfactory accuracy compared to the baseline models, but required substantial computational time due to the random material model generation/assignment process, which needs to be optimized in future work.


Design Of Composite Double-Slab Radar Absorbing Structures Using Forward, Inverse, And Tandem Neural Networks, Devin Nielsen, Juhyeong Lee, Young-Woo Nam 2022 Utah State University

Design Of Composite Double-Slab Radar Absorbing Structures Using Forward, Inverse, And Tandem Neural Networks, Devin Nielsen, Juhyeong Lee, Young-Woo Nam

Mechanical and Aerospace Engineering Faculty Publications

The survivability and mission of a military aircraft is often designed with minimum radar cross section (RCS) to ensure its long-term operation and maintainability. To reduce aircraft’s RCS, a specially formulated Radar Absorbing Structures (RAS) is primarily applied to its external skins. A Ni-coated glass/epoxy composite is a recent RAS material system designed for decreasing the RCS for the X-band (8.2 – 12.4 GHz), while maintaining efficient and reliable structural performance to function as the skin of an aircraft. Experimentally measured and computationally predicted radar responses (i.e., return loss responses in specific frequency ranges) of multi-layered ...


Hyper-Velocity Impact Performance Of Foldcore Sandwich Composites, Nathan Hoch, Chase Mortensen, Juhyeong Lee, Khari Harrison, Kalyan Raj Kota, Thomas Lacy 2022 Utah State University

Hyper-Velocity Impact Performance Of Foldcore Sandwich Composites, Nathan Hoch, Chase Mortensen, Juhyeong Lee, Khari Harrison, Kalyan Raj Kota, Thomas Lacy

Mechanical and Aerospace Engineering Faculty Publications

A foldcore is a novel core made from a flat sheet of any material folded into a desired pattern. A foldcore sandwich composite (FSC) provides highly tailorable structural performance over conventional sandwich composites made with honeycomb or synthetic polymer foam cores. Foldcore design can be optimized to accommodate complex shapes and unit cell geometries suitable for protective shielding structures

This work aims to characterize hypervelocity impact (> 2000 m/s, HVI) response and corresponding damage morphologies of carbon fiber reinforced polymer (CFRP) FSCs. A series of normal (0° impact angle) and oblique (45° impact angle) HVI (~3km/s nominal projectile velocity ...


Full Volume 13, Issue 1, Seyma Tufan 2022 University of Nebraska at Omaha

Full Volume 13, Issue 1, Seyma Tufan

Space and Defense

No abstract provided.


A Deep Learning Approach For Airport Runway Identification From Satellite Imagery, Mahmut Gemici 2022 Rowan University

A Deep Learning Approach For Airport Runway Identification From Satellite Imagery, Mahmut Gemici

Theses and Dissertations

The United States lacks a comprehensive national database of private Prior Permission Required (PPR) airports. The primary reason such a database does not exist is that there are no federal regulatory obligations for these facilities to have their information re-evaluated or updated by the Federal Aviation Administration (FAA) or the local state Department of Transportation (DOT) once the data has been entered into the system. The often outdated and incorrect information about landing sites presents a serious risk factor in aviation safety. In this thesis, we present a machine learning approach for detecting airport landing sites from Google Earth satellite ...


Low-Reynolds-Number Locomotion Via Reinforcement Learning, Yuexin Liu 2022 New Jersey Institute of Technology

Low-Reynolds-Number Locomotion Via Reinforcement Learning, Yuexin Liu

Dissertations

This dissertation summarizes computational results from applying reinforcement learning and deep neural network to the designs of artificial microswimmers in the inertialess regime, where the viscous dissipation in the surrounding fluid environment dominates and the swimmer’s inertia is completely negligible. In particular, works in this dissertation consist of four interrelated studies of the design of microswimmers for different tasks: (1) a one-dimensional microswimmer in free-space that moves towards the target via translation, (2) a one-dimensional microswimmer in a periodic domain that rotates to reach the target, (3) a two-dimensional microswimmer that switches gaits to navigate to the designated targets ...


Modeling And Structural Analysis Of Morphing Wing In Uavs, Gunda Shiva krishna Prof. 2022 Assistant professor Department of aerospace engineering Amity school of engineering and technology, Mumbai & amity university, Maharashtra

Modeling And Structural Analysis Of Morphing Wing In Uavs, Gunda Shiva Krishna Prof.

Graduate Research in Engineering and Technology (GRET)

Morphing structure enables an aircraft to alter its configuration in maneuver to operate effectively in a given flight reign. A continuous wing is utilized to reduce drag as the wing deformation is approximated more closely. With such wing morphing of skin supported with underlying truss structure, they are able to control the unsteady aerodynamic forces. This project seeks to expand and unravel the capability of an aircraft through the application of a reconfigurable “morphing” wing. In this project, the structural model of the morphing wing consists of primarily wing components designed in solid works. Structural analysis of wing components has ...


Rocket Measurements Of Electron Energy Spectra From Earth’S Photoelectron Production Layer, Aroh Barjatya, Shantanab Debchoudhury, Glyn A. Collinson, Alex Glocer, Dennis Chornay, Et al. 2022 Embry-Riddle Aeronautical University

Rocket Measurements Of Electron Energy Spectra From Earth’S Photoelectron Production Layer, Aroh Barjatya, Shantanab Debchoudhury, Glyn A. Collinson, Alex Glocer, Dennis Chornay, Et Al.

Publications

Photoelectrons are crucial to atmospheric physics. They heat the atmosphere, strengthen 28 planetary ambipolar electric fields, and enhance the outflow of ions to space. However, 29 there exist only a handful of measurements of their energy spectrum near the peak of 30 photoproduction. We present calibrated energy spectra of pristine photoelectrons at their 31 source by a prototype Dual Electrostatic Analyzer (DESA) instrument flown on July 11 32 2021 aboard the Dynamo-2 sounding rocket (NASA № 36.357). Photopeaks arising from 33 30.4nm He-II spectral line were observed throughout the flight above 120km. DESA also 34 successfully resolved the rarely ...


Comprehensive Review Of Heat Transfer Correlations Of Supercritical Co2 In Straight Tubes Near The Critical Point: A Historical Perspective, Douglas C. Lopes, Yang Chao, Vinusha Dasarla, Neil P. Sullivan, Mark Ricklick, Sandra Boetcher, Douglas Cabrera Lopes 2022 Embry-Riddle Aeronautical University

Comprehensive Review Of Heat Transfer Correlations Of Supercritical Co2 In Straight Tubes Near The Critical Point: A Historical Perspective, Douglas C. Lopes, Yang Chao, Vinusha Dasarla, Neil P. Sullivan, Mark Ricklick, Sandra Boetcher, Douglas Cabrera Lopes

Publications

An exhaustive review was undertaken to assemble all available correlations for supercritical CO2 in straight, round tubes of any orientation with special attention paid to how the wildly varying fluid properties near the critical point are handled. The assemblage of correlations, and subsequent discussion, is presented from a historical perspective, starting from pioneering work on the topic in the 1950s to the modern day. Despite the growing sophistication of sCO2 heat transfer correlations, modern correlations are still only generally applicable over a relatively small range of operating conditions, and there has not been a substantial increase in predictive capabilities. Recently ...


Project Khepri: Mining Asteroid Bennu For Water, Erika Frost, Gowtham Boyala, Adam Gremm, Ahmet Gungor, Amirhossein Taghipour, Massimo Biella, Jiawei "Jackson" Qiu, Athip Thirupathi Raj, Arjun Chhabra, Adam Gee, Saanjali Maharaj, Erin Richardson, Julia Empey, Haidar Ali Abdul-Nabi, Lindsay Richards, Ariyaan Talukder, Aaron Groh, Brie Miklaucic, JD Carlson, Kristina Kim, Maverick Cue 2022 Western University

Project Khepri: Mining Asteroid Bennu For Water, Erika Frost, Gowtham Boyala, Adam Gremm, Ahmet Gungor, Amirhossein Taghipour, Massimo Biella, Jiawei "Jackson" Qiu, Athip Thirupathi Raj, Arjun Chhabra, Adam Gee, Saanjali Maharaj, Erin Richardson, Julia Empey, Haidar Ali Abdul-Nabi, Lindsay Richards, Ariyaan Talukder, Aaron Groh, Brie Miklaucic, Jd Carlson, Kristina Kim, Maverick Cue

Undergraduate Student Research Internships Conference

Deep space asteroid mining presents the opportunity for the collection of critical resources required to establish a cis-lunar infrastructure. In specific, the Project Khepri team has focused on the collection of water from asteroid Bennu. This water has the potential to provide a source of clean-energy propellant as well as an essential consumable for humans or agriculture on crewed trips to the Moon or Mars. This would avoid the high costs of launching from Earth - making it a highly desirable element for the future of cis-lunar infrastructure. The OSIRIS-REx mission provided a complete survey of asteroid Bennu and is set ...


Review On 11 Years Of Implementation Of Strategic Priority Program (Spp) On Space Science And Its Prospect, Ji WU, Chi WANG, Quanlin FAN 2022 National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

Review On 11 Years Of Implementation Of Strategic Priority Program (Spp) On Space Science And Its Prospect, Ji Wu, Chi Wang, Quanlin Fan

Bulletin of Chinese Academy of Sciences (Chinese Version)

The Strategic Priority Program (SPP) on space science is a series scientific satellites program implemented by Chinese Academy of Science (CAS) since 2011. Since then, it has become the only and systematic space science satellite series of China. The article reviews the major scientific outcomes and technological breakthroughs in its first phase (2011-2016), the ongoing mission developments of its second phase (2017-2024), and the selected mission proposals for future space science program up to 2030. In 2016, President Xi has addressed:"to promote full developments of space science, space technology and space application," where he put space science in the ...


Prospects Of Global Space Science Breakthroughs And China’S Contributions, Chi WANG 2022 National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

Prospects Of Global Space Science Breakthroughs And China’S Contributions, Chi Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Space science is a frontier interdisciplinary subject that probes the macroscopic and microscopic worlds with spacecraft as a platform. Since the 1960s, many Nobel Prize-level discoveries and original achievements have been spawned in related basic science, breaking through the boundaries of human cognition of the nature, and expanding the human knowledge graph continuously. In the 21st century, with a new round of scientific and technological revolution brewing, space science has also entered a new era of revolutionary advancements. Here we review the major progress in global space science in the past ten years, as well as the trend of space ...


Connecting The Last Mile To Speed Up Space Science Development Of China—Review And Prospect Of The Funding Practices For Space Science By Nsfc, Zengqian HOU, Yupeng YAO, Guoxuan DONG, Sheng YU 2022 National Natural Science Foundation of China, Beijing 100085, China

Connecting The Last Mile To Speed Up Space Science Development Of China—Review And Prospect Of The Funding Practices For Space Science By Nsfc, Zengqian Hou, Yupeng Yao, Guoxuan Dong, Sheng Yu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Strengthening the basic scientific research in an all-round way and achieving more breakthroughs from zero to one as soon as possible are the major strategic needs of building a world leading power in science and technology in the new era. As the main channel funding basic research in China, the National Natural Science Foundation of China (NSFC) has always focused on the basic frontiers and major scientific issues in space science, carried out strategic research on the planning of relevant disciplines, sorted out key scientific questions, defined the priority development direction, and provided continuous and stable funding through major, key ...


On Index System Of Space Science Strength And Its Enlightenment, Quanlin FAN, Tingting SONG, Peng SHI, Haiyan WEI, Xiaoli CHEN, Xuezhao WANG, Shijie GUO 2022 National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

On Index System Of Space Science Strength And Its Enlightenment, Quanlin Fan, Tingting Song, Peng Shi, Haiyan Wei, Xiaoli Chen, Xuezhao Wang, Shijie Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

Major achievements of space science and technology are important symbols of a country's scientific and technological level and ability. The basic consensus of the aerospace community is that China's space technology has been well-developed, space applications need to be strengthened, and space science is relatively the less-developed. Thus, it is extremely urgent for China to build a strong country in space science and tackle the "bottleneck". Here we elaborate the internal logic among the strength of S&T, aerospace, and space science, expound the connotation of space science strength, investigate the index system, and suggest the three-tier system ...


Thoughts On Space Science Development, Yidong GU 2022 Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing 100094, China

Thoughts On Space Science Development, Yidong Gu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Space science is a large-scale activity by using space vehicles to explore the universe and natural laws and carry out special experiments, which has made great contributions to the development of contemporary science. This paper outlines the major breakthroughs in international space science, analyzes the context and new trends of space science and manned exploration activities, reviews the development achievements of space science in China in the past 20 years, puts forward existing problems and gaps, and emphasizes the strategic position of space science and its importance to China's science and technology, aerospace and the national long-term development. It ...


Collaborative Research: Harnessing Mechanics For The Design Of All-Solid-State Lithium Batteries, Haoran Wang 2022 Utah State University

Collaborative Research: Harnessing Mechanics For The Design Of All-Solid-State Lithium Batteries, Haoran Wang

Funded Research Records

No abstract provided.


Application Of Tensile Testing Machine For Measurement Of Skin Friction Coefficient, Jeremy Silver-Mahr 2022 Western University

Application Of Tensile Testing Machine For Measurement Of Skin Friction Coefficient, Jeremy Silver-Mahr

Undergraduate Student Research Internships Conference

Traditionally fluid drag associated with skin friction is conducted by the measurement of constrained fluid flow across a textured surface. This works well for easy-to-handle fluids such as water and oil, however it is less feasible for fluids such as liquid metals. A device that measures the drag force on a surface through a static fluid would allow for different fluid types and sample geometries to be tested. A fish scale pattern consisted of overlapping repeating circular planes 3mm in diameter angled to achieve 0.14mm of depth was embossed onto a PMMA sheet. A control sample of smooth PMMA ...


Experiments To Mitigate Flow Recirculation In A Closed Anechoic Chamber Using Mesh Screens As Turbulence Suppressors, Tori Kay Wolverton 2022 Mississippi State University

Experiments To Mitigate Flow Recirculation In A Closed Anechoic Chamber Using Mesh Screens As Turbulence Suppressors, Tori Kay Wolverton

Theses and Dissertations

The desire to gather acoustic data of a propeller in simulated hover without environmental effects is met with the challenge of recirculating flow in a closed anechoic chamber. Flow recirculation in an anechoic chamber is not ideal because the effects of it being ingested by the rotor cause unsteady loadings on the propeller. This unsteady loading causes vortex noise from the turbulence introduced by the recirculation of the flow. The aim is to study the acoustic signature of a propeller separate from external factors and engine noise. Two different propellers with three different screen combinations were tested in a closed ...


Three-Axis Magnetometer Calibration With Norm Preservation, Seth Lichlyter 2022 Mississippi State University

Three-Axis Magnetometer Calibration With Norm Preservation, Seth Lichlyter

Theses and Dissertations

This thesis proposes a set of methods for the purpose of improving the calibration of three-axis magnetometers. Specifically, these methods aim to improve the accuracy of the bias estimation methods currently in use. The first proposed method utilizes a constrained optimization problem based on norm preserving. The second proposed method finds the same bias estimate as the first method, but in a computationally more efficient manner. The last proposed method tackles the case where the value of the local geomagnetic field is only imprecisely known. Computer simulations demonstrate the viability of the proposed methods.


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