Browsing University of Washington Bothell by Subject "Computing and software systems"
Now showing items 1-20 of 29
-
A Biologically Plausible Mechanism for Phonology Acquisition in Human Infants
Infants go through a serial developmental process in language acquisition, which is observable as specific linguistic milestones: by around six weeks of age, infants coo; by about six months they begin to babble, entering ... -
A Study of Correlations Between Trait Affect and Phishing Susceptibility
Although phishing emails have been in use for decades, these social engineering attacks are still prevalent because they keep working; in fact, they are a leading cause of data breaches. In this research, I attempt to ... -
A Two-layer Authentication Using Voiceprint for Voice Assistants
Voice assistants are a ubiquitous service of contemporary daily life. Their intuitive use and 24-hour-a-day convenience make them popular and have more users. However, the security of voice assistants does not increase as ... -
Accelerating large-scale simulations of cortical neuronal network development
(2012-09-13)Cultured dissociated cortical cells grown into networks on mult-electrode arrays are used to investigate neuronal network development, activity, plasticity, response to stimuli, the effects of pharmacological agents, etc. ... -
ACRAS A Hybrid Graphical User-Authentication System
The traditional text-based password is ubiquitous in today's computing environment, yet creation and maintenance of both usable and secure passwords remains one of the largest challenges in modern computing. This project ... -
Adaptive Probabilistic Topic Models for Social Networks
(2012-09-13)Online social networks such as Twitter, LinkedIn, and Facebook generate tremendous amount of text and social interaction data. On one hand, the increasing amount of available information has motivated computational research ... -
Agent Based Parallelization of Computational Geometry Algorithms
The Multi-Agent Spatial Simulation (MASS) library is a parallel programming library that utilizes agent-based modeling (ABM) to parallelize big data analysis. In this research, we aim to build on the previous research using ... -
Augmented Space Library 2: A Network Infrastructure for Collaborative Cross Reality Applications
The Cross Reality Collaboration Sandbox (CRCS) research group is dedicated to studying issues related to supporting collaborations across geographical distances through different technological reality setups. These different ... -
Building a Machine Learning Based Recommendation Engine for the Virtual Academic Advisor System
Machine Learning is presently being used to tackle various problems from voice recognition to self-driving vehicles. However, there are many areas where modern software applications have not reached due to lack of interest ... -
Data Analysis for Detecting Intracranial Hemorrhage Using Ultrasound Tissue Pulsatility Imaging
A Traumatic Brain Injury (TBI) is a type of injury that affects how the brain functions. TBI can lead to short-term problems or more long-term severe problems including various types of intracranial hemorrhage, some of ... -
Deciphering Protein Complex Structures from Cryo-electron Microscopy Maps using Deep Learning
Information about macromolecular structure of protein complexes such as SARS-CoV-2, and related cellular and molecular mechanisms can assist the search for vaccines and drug development processes. To obtain such structural ... -
Deep Learning Based CT Image Reconstruction
As a common medical imaging method, Computed Tomography (CT) can create tomographic images using X-ray data acquired from around the human body. However, high quality and adequately sampled X-ray measurement data are not ... -
Deep Learning for Validating Resolution and Detecting Secondary Structure Elements of Proteins in 3D Cryo-Electron Microscopy Images
Cryo-electron microscopy (cryo-EM) is becoming the imaging method of choice for determining protein structures. Many atomic structures have been resolved based on an exponentially growing number of published three-dimensional ... -
Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps
Understanding a protein’s structure can lead to the discovery of therapeutic protein drugs. However, imaging proteins remains a challenge due to their small size. Cryo-electron microscopy (cryo-EM) is a leading imaging ... -
Design and Qualitative/Quantitative Analysis of Multi-Agent Spatial Simulation Library
(2013-02-25)Integrating sensor networks in cloud computing gives new opportunities of using as many cloud-computing nodes as necessary to analyze real-time sensor data on the fly. However, most cloud services for parallelization such ... -
Detecting Streaming Wireless Cameras with Timing Analysis
The Internet of Things (IoT) is growing rapidly thanks to the convenience it provides to users, as sensors collect, communicate, and collaborate with each other to provide better services. Wi-Fi cameras from a variety of ... -
Detection of Beta-Barrels from Medium Resolution Cryo-electron Microscopy Density Maps
Cryo-electron microscopy is becoming one of the most popular techniques used to determine protein structures. At medium resolutions, secondary structures can be seen from within cryo-electron microscopy density maps. The ... -
EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging
The function of a protein is mainly dependent on its exposed surfaces. The protein surface can provide rich information about a protein's function and evolution. Also, identifying protein surface structure is an essential ... -
Federated Learning for Intrusion Detection Systems in Medical Cyber-Physical Systems
Medical Cyber-Physical Systems (MCPS) are networked systems of medical devices with seamless integration of physical and computation components. MCPS are increasingly used in healthcare environments to deliver high quality ... -
Machine Learning based Recommendations to aid Educational Planning and Academic Advising through the Virtual Academic Advisor System
The process of educational planning and academic advising are critical for supporting student retention rate and on-time graduation. Faculty-based advising has been widely adopted by several community colleges because it ...