College of Engineering and Applied Science
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Recent Submissions
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EVALUATING SHORT-WAVE INFRARED IMAGES ON A CONVOLUTIONAL NEURAL NETWORK
Machine learning algorithms, both neural networks and non neural networks, have been tested against RGB facial images for years. Their success is dependent on clearly distinguishable cropped faces. Poor lighting and distance ... -
PRELIMINARY EXPERIMENTAL RESULTS FOR CHARGE DRAG IN A SIMULATED LOW EARTH ORBIT ENVIRONMENT
Interest in the Low Earth Orbit (LEO) environment is growing in the science community as well as in the private sector. The number of spacecraft launched in these altitudes (150 – 700 km) keeps growing, and this region is ... -
Characterization and Comparison of Lithium Niobate and Quartz Surface Acoustic Wave Devices
Sensors became the very important part of our technological life now a day. Its accuracy and reliability became the matter of success or failure, death or life. That’s why we all are trying to make these sensors as accurate ... -
Enhancing the Bootstrapping Network in Cloud-based Onion Routing (COR)
The maintenance of privacy and anonymity on the Internet has become a large concern for many users worldwide. The online service known as Tor (The Onion Router) is one of the most popular tools available to users seeking ... -
Travel Plan Generator
Travelers usually have their customized travel plans before starting their trips. A good travel plan can make them convenient to arrange their trips and make trips well organized. In order to customize personal travel ... -
FULLY HOMOMORPHIC ENCRYPTION OVER EXTERIOR PRODUCT SPACES
In this work I propose a new symmetric fully homomorphic encryption powered by Exterior Algebra and Product Spaces, more specifically by Geometric Algebra as a mathematical language for creating cryptographic solutions, ... -
Autoregressive Density Estimation in Latent Spaces
We propose an extension of recent autoregressive density estimation approaches such as PixelCNN and WaveNet that models the density of a latent variable space rather than the output space. In other words, we propose a ... -
NEURAL NETWORKS FOR HUMAN CELL DETECTION AND COUNTING
In this work, we present a method to count and detect the position of breast cancer cells and bone marrow human cells using a Convolutional Neural Network (CNN). We compare our F1-results against state-of-the-art results ... -
Improving Techniques for SQL Injection Defenses
In this thesis, we investigate how SQL injection attacks occur and how to patch a web app with the SQL injection vulnerability. Various SQL injection tools are evaluated for their functionalities and capabilities. A python ... -
Development of a Transient Thrust Stand with Sub-Millisecond Resolution
The transient thrust stand has been developed to offer 0.1 ms time resolved thrust measurements for the characterization of mono-propellant thrusters for spacecraft applications. Results demonstrated that the system was ... -
Non-Uniformity Correction Using Nonlinear Characteristic Performance Curves for Calibration
Infrared imaging is an expansive field with many applications. Advances in infrared technology have lead to a greater demand from both commercial and military sectors. However, a known problem with infrared imaging is its ... -
Filamentary-based Resistance Switching RRAM Devices for Memory Applications
This dissertation investigates the resistive switching devices based on nickel oxide. Such a device is an example of metal oxide based RRAM (or ReRAM), which is a type of memory whose logical value depends on its resistance ... -
AN FPGA-BASED HARDWARE ACCELERATOR FOR K-NEAREST NEIGHBOR CLASSIFICATION FOR MACHINE LEARNING
Machine learning has become the cornerstones of the information technology. Machine learning is a type of artificial intelligence (AI), which enables a program (or a computer) to learn, without being explicitly programmed ... -
Dual Marching Squares: Implementation and Analysis Using VTK
ABSTRACT In the past few decades’ volume rendering is perhaps one of the most visited research topics in the field of scientific visualization. Since volume datasets are large and require considerable computing power to ... -
3D MODELING, ANALYSIS, AND DESIGN OF A TRAVELING-WAVE TUBE USING A MODIFIED RING-BAR STRUCTURE WITH RECTANGULAR TRANSMISSION LINES GEOMETRY
A novel slow-wave structure of the traveling-wave tube consisting of rings and rectangular coupled transmission lines is modeled, analyzed, and designed in the frequency range of 1.89-2.72 GHz. The dispersion and interaction ... -
Improvements to Fidelity, Generation and Implementation of Physics-Based Lithium-Ion Reduced-Order Models
Abstract Battery management systems (BMS) require computationally simple but highly accurate models of the battery cells they are monitoring and controlling. Historically, empirical equivalent-circuit models have been used, ... -
Detection And Analysis Of Software Clones
Effective detection of code clones is important for software maintenance. Code clones introduce difficulty in software maintenance and lead to bug propagation. Detection of duplicated bugs within a piece of software is ... -
INCREASING ORBITAL ENERGY VIA TETHER RETRIEVAL AND DEPLOYMENT IN A SYNCHRONOUS CONFIGURATION
The aim of this thesis is to propose a new control law for deployment and retrieval of a tethered satellite system in order to increase the orbital energy without using propellant. The system is considered to be a non-rotating ... -
AERODYNAMIC IDENTIFICATION AND MODELING OF GENERIC UCAV CONFIGURATIONS WITH CONTROL SURFACE INTEGRATION
As aircraft are increasingly specialized for low-observability and maneuverability, the aerodynamic identification process has become increasingly important. Recently, the aerodynamics of Unmanned Combat Aerial Vehicle ... -
CONTINUOUS AUTHENTICATION OF SMARTPHONE OWNERS BASED ON APP ACCESS BEHAVIOR
In recent years, smartphone use has become ubiquitous. The number of the applications on these devices has increased tremendously, leading to an increase in potential threats to the personal accounts of smartphone owners. ...