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Articles 38341 - 38370 of 196383
Full-Text Articles in Engineering
Novel 360-Degree Camera, Ian Gauger, Andrew Kurtz, Zakariya Niazi
Novel 360-Degree Camera, Ian Gauger, Andrew Kurtz, Zakariya Niazi
Frameless
Circle Optics is developing novel technology for low-parallax, real time, panoramic image capture using an integrated array of multiple adjacent polygonal-edged cameras. This technology can be optimized and deployed for a variety of markets, including cinematic VR. Circle Optics’ existing prototype, Hydra Alpha, will be demonstrated.
Warehouse And Logistics: Smart Picking With Vuzix Smart Glasses, Elise Hemink
Warehouse And Logistics: Smart Picking With Vuzix Smart Glasses, Elise Hemink
Frameless
Vuzix is an industry leader in augmented reality (AR) technology. We provide innovative products to an array of industries, a few being defense, security, enterprise, and consumers. Our AR technology provides a perfect balance of engagement in the digital and real worlds thanks to their innovative optics, AI apps and 5G capability.
Creating A Virtual Reality Experience In Service To A Non-Profit Agency, Frank Deese, Susan Lakin, Isabelle Anderson
Creating A Virtual Reality Experience In Service To A Non-Profit Agency, Frank Deese, Susan Lakin, Isabelle Anderson
Frameless
In the summer of 2018, RIT Professors Susan Lakin and Frank Deese discussed with the principal officers of the Society for the Protection and Care of Children (SPCC) in Rochester how the new technology of Virtual Reality might be used to not only impart information to viewers, but generate empathy for those receiving services from the organization as well as those performing those services. Their ultimate goal was to create an experience that could be viewed with VR headsets at fundraising events and on a website using low-cost Google Cardboard.
Exploring The Psychological Consequences Of Distances In Virtual Reality, Gary D. Jacobs
Exploring The Psychological Consequences Of Distances In Virtual Reality, Gary D. Jacobs
Frameless
This presentation will examine common concepts of traveling between formalized spaces inside virtual reality (VR) experiences.
The common method for traveling in virtual reality is to click on an area or trigger and be transported to that location. These “teleportations”, however, remove the notion of distances from our virtual worlds. This is akin to a magic wand that eliminates the consequences of travel in VR. Often heralded as a boon for the virtual worlds we can create, wherein we can travel to far away lands without lag in time and without effort on the part of the participant. We posit …
Vr Sound Mapping: Make Sound Accessible For Dhh People In Virtual Reality Environments, Ziming Li, Roshan Peiris
Vr Sound Mapping: Make Sound Accessible For Dhh People In Virtual Reality Environments, Ziming Li, Roshan Peiris
Frameless
In-game audio plays an important role in enhancing the sense of reality and immersion in the gaming experience. In many games, sounds are also used to provide notifications and clues which are essential to the gameplay. However, in this case, the DHH (deaf and hard of hearing) players may fail to access the information conveyed by sounds, which degrades their gaming experience (Jain et al. 2021).
A Real-Time Gaze Estimation Framework For Mobile Devices, Yu Feng, Nathan Goulding-Hotta, Asif Khan, Hans Reyserhove, Yuhao Zhu
A Real-Time Gaze Estimation Framework For Mobile Devices, Yu Feng, Nathan Goulding-Hotta, Asif Khan, Hans Reyserhove, Yuhao Zhu
Frameless
Tracking eyes becomes an important component to unleash new ways of human-machine interactions in augmented and virtual reality (AR/VR). To make the eye tracking system responsible, eye tracking systems need to operate at a real-time rate (> 30Hz). However, from our experiments, modern gaze tracking algorithms operate at most 5 Hz on mobile processors. In this talk, we present a real-time eye tracking algorithm that operates at 30 Hz on a mobile processor. Our algorithm achieves sub-0.5° gaze accuracy, while requiring only 30K parameters, which is one to two orders of magnitude smaller than state-of-the-art algorithms.
Defining And Evaluating Design Patterns To Increase "This Is Not A Game" (Tinag), Lucia A. Mata
Defining And Evaluating Design Patterns To Increase "This Is Not A Game" (Tinag), Lucia A. Mata
Theses and Dissertations
TINAG, which stands for This is Not a Game, can be defined as "the concept that there are pervasive games, often ARGs, that are designed to immerse players in such a way that they suspend their disbelief in a fictional narrative and act like the world they have entered is real during their play time" (Pohjola 2004). Many designers and educators want to create games that appear real, but they are unsure of how to accomplish this. Increasing TINAG allows designers to create more realistic games while taking advantage of the many benefits that TINAG experiences offer. The purpose of …
Effects Of Different Crash Data Variables On Ems Response Time For A Rural County In Alabama, Sneha R. Vanga, Phillip M. Ligrani, Mehrnaz Doustmohammadi, Michael Anderson
Effects Of Different Crash Data Variables On Ems Response Time For A Rural County In Alabama, Sneha R. Vanga, Phillip M. Ligrani, Mehrnaz Doustmohammadi, Michael Anderson
PRC-Affiliated Research
Response time of Emergency Medical Services (EMS) is an important factor related to preventable deaths in road crash incidents. This study focuses on analyzing the effects of different independent variables on the EMS Response Time (ERT). Independent variables considered for this investigation are travel time, day of the week, crash severity, weather, time of the day, and lighting condition. Understanding outcomes resulting from variations of the considered parameters on ERT is crucial to minimize the possibility of adverse outcomes which are tied to different types of injuries, and vital to limit the prospect of fatalities. Crash data used for this …
A Deep Reinforcement Learning Approach With Prioritized Experience Replay And Importance Factor For Makespan Minimization In Manufacturing, Jose Napoleon Martinez
A Deep Reinforcement Learning Approach With Prioritized Experience Replay And Importance Factor For Makespan Minimization In Manufacturing, Jose Napoleon Martinez
LSU Doctoral Dissertations
In this research, we investigated the application of deep reinforcement learning (DRL) to a common manufacturing scheduling optimization problem, max makespan minimization. In this application, tasks are scheduled to undergo processing in identical processing units (for instance, identical machines, machining centers, or cells). The optimization goal is to assign the jobs to be scheduled to units to minimize the maximum processing time (i.e., makespan) on any unit.
Machine learning methods have the potential to "learn" structures in the distribution of job times that could lead to improved optimization performance and time over traditional optimization methods, as well as to adapt …
Assembly Of Nanostructures At Solid-Liquid And Liquid-Air Interfaces, Yingzhen Ma
Assembly Of Nanostructures At Solid-Liquid And Liquid-Air Interfaces, Yingzhen Ma
LSU Doctoral Dissertations
Molecular and nanoscale colloids such as surfactant, fatty acid and metallic nanoparticles are widely used in numerous applications such as detergents, biomedicine, and catalyst. The assemblies of these colloids show different morphological behavior in aqueous solution due to the wide range of intermolecular interactions such as hydrogen bonding, van der Waals, and electrostatics. The morphology of these assemblies can be changed by environmental factors including temperature, ionic strength, and salinity. However, the guidance to direct assembled state of colloidal assemblies at heterogenous interfaces under various external stimuli remains poorly understand. In this Ph.D. dissertation, we show the adsorption and reconfiguration …
Playable Case Study Content Management System, Mitchell Stevenson Cross
Playable Case Study Content Management System, Mitchell Stevenson Cross
Theses and Dissertations
Educational simulations can help mitigate the natural gap between traditional education styles and the current professional world. Researchers at BYU have developed an educational simulation solution called Playable Case Studies (PCSs). PCSs are simulations that expose the user to real world scenarios and problems within a pre-built environment. With rising demand and use of these educational simulations, there is a need for easy and inexpensive ways to develop these simulations or Playable Case Studies (PCSs). We propose a content management system (CMS) that is tied to a system that utilizes dynamic modules that make up these simulations. We present a …
Self-Supervised Joint Image Reconstruction And Coil Sensitivity Calibration In Parallel Mri Without Ground Truth, Yuyang Hu
McKelvey School of Engineering Graduate Student Theses & Dissertations
No abstract provided.
Performance Improvements In Inner Product Encryption, Serena Riback
Performance Improvements In Inner Product Encryption, Serena Riback
Honors Scholar Theses
Consider a database that contains thousands of entries of the iris biometric. Each entry identifies an individual, so it is especially important that it remains secure. However, searching for entries among an encrypted database proves to be a security problem - how should one search encrypted data without leaking any information to a potential attacker? The proximity searchable encryption scheme, as discussed in the work by Cachet et al., uses the notions of inner product encryption developed by Kim et al.. In this paper, we will focus on the efficiency of these schemes. Specifically, how the symmetry of the bilinear …
Bridging The Research-Practice Gap: Development Of A Theoretically Grounded Workshop For Graduate Students Aimed At Challenging Microaggressions In Science And Engineering, Amy C. Moors, Lindsay Mayott, Benjamin Hadden
Bridging The Research-Practice Gap: Development Of A Theoretically Grounded Workshop For Graduate Students Aimed At Challenging Microaggressions In Science And Engineering, Amy C. Moors, Lindsay Mayott, Benjamin Hadden
Psychology Faculty Articles and Research
Efforts to promote diversity and inclusion often lack a theoretical basis, which can unintentionally exacerbate issues. In this paper, we describe the development and evaluation results of a theoretically grounded workshop aimed at reducing microaggressions and promoting ally engagement among graduate students in science and engineering. In Study 1, using a Delphi method, eight science and engineering faculty members with backgrounds in diversity efforts provided feedback on workshop development. In Study 2, 107 graduate and advanced undergraduate students engaged in the 90-minute interactive workshop. Results indicate that attendees found the workshop valuable, developed new skills for ally engagement, and planned …
Improving Lightweight Designs By Modeling Deformation Twinning In Magnesium Alloys, Daniel Kenney
Improving Lightweight Designs By Modeling Deformation Twinning In Magnesium Alloys, Daniel Kenney
Liberty University Research Week
Doctoral
Three Minute Thesis
Airfoil Alternative: Magnus Effect Flettner Rotorcraft, Benjamin Cook
Airfoil Alternative: Magnus Effect Flettner Rotorcraft, Benjamin Cook
Liberty University Research Week
Undergraduate
Three Minute Thesis
Design, Construction, And Implementation Of A Water Energy Collector Using Dielectric Elastomer Generators, Isaac Liu
Liberty University Research Week
Undergraduate
Three Minute Thesis
The Music Bluetooth Controller: An Intersection Between Music And Technology, Lydia Wu, Eli Best
The Music Bluetooth Controller: An Intersection Between Music And Technology, Lydia Wu, Eli Best
Liberty University Research Week
Undergraduate
Three Minute Thesis
Mathematically Modeling Non-Sinusoidal Kinematics Of Linear Smat Milling, Joby M. Anthony Iii
Mathematically Modeling Non-Sinusoidal Kinematics Of Linear Smat Milling, Joby M. Anthony Iii
Liberty University Research Week
Doctoral
Three Minute Thesis
Direct Numerical Simulation Of Superhydrophobic Surface Plastron Collapse, Reid Prichard
Direct Numerical Simulation Of Superhydrophobic Surface Plastron Collapse, Reid Prichard
Liberty University Research Week
Doctoral
Three Minute Thesis
Preventing Human Trafficking With Machine Learning, Bethany Matsick
Preventing Human Trafficking With Machine Learning, Bethany Matsick
Liberty University Research Week
Doctoral
Three Minute Thesis
A Smart Illicit Discharge Monitoring System, Alexander Campbell, Henry S. Armstrong, Tien Yee
A Smart Illicit Discharge Monitoring System, Alexander Campbell, Henry S. Armstrong, Tien Yee
Symposium of Student Scholars
In the present study, we attempt to use a variety of sensors to monitor illicit discharges that are present near the Kennesaw State University Marietta Campus. The US Environmental Protection Agency defines an illicit discharge as “any discharge into a storm drain system that is not composed entirely of stormwater”. Each year, approximately 860 billion gallons of sewage spills are reported throughout the country. In Georgia, sewer spills data shows that spills may range from hundreds of gallons to millions of gallons depending on the severity of the leak. The undetected sewer leaks may degrade the water quality in nearby …
Development Of A Compliant Gripper Driven By 3 Dof Soft Robot, Derek M. Price Ii, Ricardo Ramirez, Pt Angel Tran
Development Of A Compliant Gripper Driven By 3 Dof Soft Robot, Derek M. Price Ii, Ricardo Ramirez, Pt Angel Tran
Symposium of Student Scholars
Industrial robots are moving toward automation, which makes it increasingly necessary to replace the functions traditionally performed by humans with robotics. Pick and place operation is a prime example of such automation. Robots that pick up and place objects mimic the human action of picking an object up and placing it in a targeted location. It has led to the development of robotic end-effectors that have a human-like feel. Grippers can be articulated in various ways depending on their application area and well-defined desired tasks. As compliant and soft links deflect more under the same load than their rigid body …
Detection Of Trace Heavy Metals In Water: Development Of Electrochemical Sensors, Quang Lam, Joel Mututeke
Detection Of Trace Heavy Metals In Water: Development Of Electrochemical Sensors, Quang Lam, Joel Mututeke
Symposium of Student Scholars
The presence of heavy metals in our ecosystem poses significant ecological and physiological consequences. As a result, numerous techniques are developed for the detection of contaminants in aqueous solutions. However, early and trace detection of such contaminants still remains a challenge. Amongst many techniques, electrochemistry driven sensors have shown promise due to their possibility of miniaturization and low-cost. Our research investigates the use of electrically conducting polymer and atomically thin carbon materials as electrodes towards the development of electrochemical sensor. Nanocomposite electrode films have been synthesized and fabricated using in-situ polymerization technique and the relationship between number of cycles of …
Fabrication Of Microfluidic Devices To Study Confined Collective Migration Of Breast Cancer Cells, Linh Luong
Fabrication Of Microfluidic Devices To Study Confined Collective Migration Of Breast Cancer Cells, Linh Luong
Symposium of Student Scholars
Cells in our body mostly exist in confined environments. They are surrounded by neighboring cells, tissues, and the extracellular matrix. The changes in these surrounding environments influence cell behaviors. Therefore, studying cell mechanics plays a significant role to understand how cancer cells migrate and what primary factors that control cancer metastasis. Many studies have been developed to study how cancer cells migrate in the body. However, these experiments in vivo are complicated and incredibly challenging. Another approach is to perform experiments in vitro instead. However, to obtain relevant results, a specific experimental apparatus must be designed to confine cells. Glass …
Design And Computational Validation Of A Shear Stress Bioreactor For Conditioning Vascular Tissue To Time-Varying Multidirectional Fluid Shear Stress, Rajeshwari Raja, Philippe Sucosky, Jason Shar
Design And Computational Validation Of A Shear Stress Bioreactor For Conditioning Vascular Tissue To Time-Varying Multidirectional Fluid Shear Stress, Rajeshwari Raja, Philippe Sucosky, Jason Shar
Symposium of Student Scholars
Design and Computational Validation of a Shear Stress Bioreactor for Conditioning Vascular Tissue to Time-Varying Multidirectional Fluid Shear Stress
Author: Rajeshwari Raja Mentor: Dr. Jason A. Shar Department of Mechanical Engineering Kennesaw State University 1100 South Marietta Pkwy SE, 30060
Altered biological environments and conditions, such as microgravity and pregnancy, can impact vascular blood flow and, in turn, generate fluid wall shear stress (WSS; frictional force generated on the tissue surface due to blood flow) abnormalities. These abnormalities are known to affect cardiovascular tissue biology and can be replicated experimentally using a cone-and-plate shear stress bioreactor. This device exposes tissue …
Cost-Efficient Bridge Scour Health Monitoring Using Commercial Sensors, Connor Embleau, Tien Yee, Metin Oguzmert, Mahyar Amirgholy, Alan Akazemi, Dale Goff
Cost-Efficient Bridge Scour Health Monitoring Using Commercial Sensors, Connor Embleau, Tien Yee, Metin Oguzmert, Mahyar Amirgholy, Alan Akazemi, Dale Goff
Symposium of Student Scholars
Bridge scouring has been a major international issue regarding bridge health and the overall longevity of a bridge. A common bridge health concern such as scouring accounts for close to 60% of bridge failures in the United States and is a leading cause to a bridge being in critical condition. Traditional methods to combat this failure is to measure the scour depth to assess a bridge health. Due to safety concerns of the traditional method, this study proposes to monitor a bridge’s health using a vibration-based technique. At present, vibration-based techniques have yet to be utilized reliably in the field. …
Iot Clusters Platform For Data Collection, Analysis, And Visualization Use Case, Soin Abdoul Kassif Baba M Traore
Iot Clusters Platform For Data Collection, Analysis, And Visualization Use Case, Soin Abdoul Kassif Baba M Traore
Symposium of Student Scholars
Climate change is happening, and many countries are already facing devastating consequences. Populations worldwide are adapting to the season's unpredictability they relay to lands for agriculture. Our first research was to develop an IoT Clusters Platform for Data Collection, analysis, and visualization. The platform comprises hardware parts with Raspberry Pi and Arduino's clusters connected to multiple sensors. The clusters transmit data collected in real-time to microservices-based servers where the data can be accessed and processed. Our objectives in developing this platform were to create an efficient data collection system, relatively cheap to implement and easy to deploy in any part …
Novel Thermal Coating For High-Speed Airplanes, Abinash Satapathy, Lakshay Battu, Liam Watson, Nazanin Rajabi
Novel Thermal Coating For High-Speed Airplanes, Abinash Satapathy, Lakshay Battu, Liam Watson, Nazanin Rajabi
Symposium of Student Scholars
In comparison to various other materials, Carbon Fiber, specifically Carbon Fiber Reinforced Polymers (CFRP), is pre-eminent amongst other materials for use on aeronautical systems. Due to its high specific strength (strength-to-weight ratio), CFRP is prominent for carrying heavy loads while maintaining a lightweight build. However, when influenced by heat resulting from air resistance, CFRP is known to undergo serious degradation that would significantly decrease the effectiveness of the polymers. To prevent this degradation and maintain the strength of the CFRP, thermal protective layers (TPLs) are designed to shield the CFRP from heat exposure. This research is focused on the examination …
Ai Based Optimization Of Odometry Performance On Mobile Robots, Sunny Leveson Jones, Charles Koduru
Ai Based Optimization Of Odometry Performance On Mobile Robots, Sunny Leveson Jones, Charles Koduru
Symposium of Student Scholars
Robots have become a large part of the modern world and have been used to navigate through complex environments, with various optimal speeds and pathing requirements. To improve this, we have developed an AI-based predictive pathing optimizer that takes in data regarding the requested route and implements optimal speeds. The algorithm will compare time lost to the time gained by moving at a higher velocity. This has been developed by implementing continual circular patterns onto a mobile robot, which allows for rapid analysis of both the accuracy and the speed of the cycle. This optimization is proposed to increase the …