Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (2)
- Computer and Systems Architecture (2)
- Other Computer Engineering (2)
- Physical Sciences and Mathematics (2)
- Acoustics, Dynamics, and Controls (1)
-
- Art and Design (1)
- Arts and Humanities (1)
- Aviation (1)
- Aviation Safety and Security (1)
- Business (1)
- Civil and Environmental Engineering (1)
- Communication (1)
- Communication Technology and New Media (1)
- Computer-Aided Engineering and Design (1)
- Databases and Information Systems (1)
- Digital Communications and Networking (1)
- Electro-Mechanical Systems (1)
- Graphic Design (1)
- Maintenance Technology (1)
- Management and Operations (1)
- Mechanical Engineering (1)
- Numerical Analysis and Scientific Computing (1)
- Operations Research, Systems Engineering and Industrial Engineering (1)
- Programming Languages and Compilers (1)
- Social Media (1)
- Social and Behavioral Sciences (1)
- Structural Engineering (1)
- Systems Architecture (1)
- Keyword
-
- Artificial Intelligence (2)
- Machine Learning (2)
- Anomaly Detection (1)
- Bombardment (1)
- Brain-Computer Interface (1)
-
- Condition Monitoring (CM) (1)
- Containerization (1)
- DJI Tello Quadcopter (1)
- Deep Learning (1)
- Deep Learning (DL) (1)
- Diffusion Models (1)
- Distributed Acoustic Sensing (DAS) (1)
- Docker (1)
- Emotiv PRO (1)
- Finite element analysis (FEA) (1)
- Gyroscope (1)
- High Tonnage Loop (HTL) (1)
- Human Computer Interaction (1)
- Information Architecture (1)
- Information Technology (1)
- JMeter (1)
- Kubernetes (1)
- Large Language Models (1)
- Memcache (1)
- Nginx (1)
- Product Design (1)
- Python (1)
- Railroad (1)
- Railroad Safety (1)
- Redis (1)
Articles 1 - 5 of 5
Full-Text Articles in Computer Engineering
Brain Computer Interface-Based Drone Control Using Gyroscopic Data From Head Movements, Ikaia Cacha Melton
Brain Computer Interface-Based Drone Control Using Gyroscopic Data From Head Movements, Ikaia Cacha Melton
Honors College Theses
This research explores the potential of using gyroscopic data from a person’s head movement to control a DJI Tello quadcopter via a Brain-Computer Interface (BCI). In this study, over 100 gyroscopic recordings capturing the X, Y and Z columns (formally known as GyroX, GyroY, GyroZ) between 4 volunteers with the Emotiv Epoc X headset were collected. The Emotiv Epoc X data captured (left, right, still, and forward) head movements of each participant associated with the DJI Tello quadcopter navigation. The data underwent thorough processing and analysis, revealing distinctive patterns in charts using Microsoft Excel. A Python condition algorithm was then …
Enhancing Information Architecture With Machine Learning For Digital Media Platforms, Taylor N. Mietzner
Enhancing Information Architecture With Machine Learning For Digital Media Platforms, Taylor N. Mietzner
Honors College Theses
Modern advancements in machine learning are transforming the technological landscape, including information architecture within user experience design. With the unparalleled amount of user data generated on online media platforms and applications, an adjustment in the design process to incorporate machine learning for categorizing the influx of semantic data while maintaining a user-centric structure is essential. Machine learning tools, such as the classification and recommendation system, need to be incorporated into the design for user experience and marketing success. There is a current gap between incorporating the backend modeling algorithms and the frontend information architecture system design together. The aim of …
Applications Of Predictive And Generative Ai Algorithms: Regression Modeling, Customized Large Language Models, And Text-To-Image Generative Diffusion Models, Suhaima Jamal
Electronic Theses and Dissertations
The integration of Machine Learning (ML) and Artificial Intelligence (AI) algorithms has radically changed predictive modeling and classification tasks, enhancing a multitude of domains with unprecedented analytical capabilities. Predictive modeling leverages ML and AI to forecast future trends or behaviors based on historical data, while classification tasks categorize data into distinct classes, from email filtering to medical diagnosis. Concurrently, text-to-image generation has emerged as a transformative potential, allowing visual content creation directly from textual descriptions. These advancements are pivotal in design, art, entertainment, and visual communication, as well as enhancing creativity and productivity. This work explores three significant studies in …
Assessing Performance Optimization Strategies In Cloud-Native Environments Through Containerization And Orchestration Analysis, Daniel E. Ukene
Assessing Performance Optimization Strategies In Cloud-Native Environments Through Containerization And Orchestration Analysis, Daniel E. Ukene
Electronic Theses and Dissertations
This thesis comprises three distinct, yet interconnected studies addressing critical aspects of web infrastructure management. We begin by studying containerization via Docker and its impact on web server performance, focusing on Apache and Nginx hosted on virtualized environments. Through meticulous load testing and analysis, we provide insights into the comparative performance of these servers, adding users of this technology know which webservers to leverage when hosting their webservice along alongside the infrastructure to host it on. Next, we expand our focus to examine the performance of caching systems, namely Redis and Memcached, across traditional VMs and Docker containers. By comparing …
Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman
Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman
Electronic Theses and Dissertations
Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …