UMBC College of Engineering and Information Technology
Browse by
Collections in this community
Recent Submissions
-
Measuring Peer Mentoring Effectiveness in Computing Courses: A Case study in Data Analytics for Cybersecurity
(IEEE, 2020-02-20)Computing courses often suffer from lack of diversity. In this paper we evaluate an intervention method of peer mentoring to help increase interest in data analytics in cybersecurity. We present a text mining approach to ... -
Applying chemical reaction transition theory to predict the latent transmission dynamics of coronavirus outbreak in China
(2020-02-25)The recent outbreak of the Covid-19 suggests a rather long latent phase that precludes public health officials to predict the pandemic transmission on time. Here we apply mass action laws and chemical transition theory to ... -
Determining optical constants of 2D materials with neural networks from multi-angle reflectometry data
(IOP Publishing, 2020-02-25)Synthetically generated multi-angle reflectometry data is used to train a neural network based learning system to estimate the refractive index of atomically thin layered materials in the visible part of the electromagnetic ... -
On Aerosol Liquid Water and Sulfate Associations: The Potential for Fine Particulate Matter Biases
(MDPI, 2020-02-12)In humid locations of the Eastern U.S., sulfate is a surrogate for aerosol liquid water (ALW), a poorly measured particle constituent. Regional and seasonal variation in ALW–sulfate relationships offers a potential explanation ... -
A dynamically load-balanced parallel p-adaptive implicit high-order flux reconstruction method for under-resolved turbulence simulation
(2019-10-08)We present a dynamically load-balanced parallel p-adaptive implicit high-order flux reconstruction method for under-resolved turbulence simulation. The high-order explicit first stage, singly diagonal implicit Runge-Kutta ... -
Hidden Trigger Backdoor Attacks
(2019-12-21)With the success of deep learning algorithms in various domains, studying adversarial attacks to secure deep models in real world applications has become an important research topic. Backdoor attacks are a form of adversarial ... -
Fooling Network Interpretation in Image Classification
(2019-09-24)Deep neural networks have been shown to be fooled rather easily using adversarial attack algorithms. Practical methods such as adversarial patches have been shown to be extremely effective in causing misclassification. ... -
Would a File by Any Other Name Seem as Malicious?
(2019-10-10)Successful malware attacks on information technology systems can cause millions of dollars in damage, the exposure of sensitive and private information, and the irreversible destruction of data. Anti-virus systems that ... -
The Universal Decompositional Semantics Dataset and Decomp Toolkit
(2019-09-30)We present the Universal Decompositional Semantics (UDS) dataset (v1.0), which is bundled with the Decomp toolkit (v0.1). UDS1.0 unifies five high-quality, decompositional semantics-aligned annotation sets within a single ... -
LASCA: Learning Assisted Side Channel Delay Analysis for Hardware Trojan Detection
(2020-01-17)In this paper, we introduce a Learning Assisted Side Channel delay Analysis (LASCA) methodology for Hardware Trojan detection. Our proposed solution, unlike the prior art, does not require a Golden IC. Instead, it trains ... -
Adversarial Patches Exploiting Contextual Reasoning in Object Detection
(2019-12-21)The utilization of spatial context to improve accuracy in most fast object detection algorithms is well known. The detectors increase inference speed by doing a single forward pass per image which means they implicitly use ... -
A simple baseline for domain adaptation using rotation prediction
(2019-12-26)Recently, domain adaptation has become a hot research area with lots of applications. The goal is to adapt a model trained in one domain to another domain with scarce annotated data. We propose a simple yet effective method ... -
A New Burrows Wheeler Transform Markov Distance
(2019-12-30)Prior work inspired by compression algorithms has described how the Burrows Wheeler Transform can be used to create a distance measure for bioinformatics problems. We describe issues with this approach that were not widely ... -
Efficient Product Inventory Maintenance for Black Friday Sale via Spark Big Data System
Black Friday fever attracts customers from far and wide. Excitement also leads to frantic chaos for e-commerce websites. To help ease the burden on the e-commerce companies managing the traffic as well as inventory is of ... -
A Deterministic Self-Organizing Map Approach and its Application on Satellite Data based Cloud Type Classification
(2018-10-31)A self-organizing map (SOM) is a type of competitive artificial neural network, which projects the high dimensional input space of the training samples into a low dimensional space with the topology relations preserved. ... -
Effect of Surface Topography on Particle Deposition from Liquid Suspensions in Channel Flow
(MDPI, 2020-01-05)A Eulerian—Lagrangian model has been developed to simulate particle attachment to surfaces with arc-shaped ribs in a two-dimensional channel flow at low Reynolds numbers. Numerical simulation has been performed to improve ... -
Specimen-Specific Finite Element Models for Predicting Fretting Wear in Total Hip Arthroplasty Tapers
(The American Society of Mechanical Engineers (ASME), 2020-02-24)Products from fretting wear and corrosion in the taper junction of total hip arthroplasty (THA) devices can lead to adverse local tissue reactions. Predicting damage as a function of design parameters would aid in the ... -
An Elastic Transmission Error Compensation Method for Rotary Vector Speed Reducers Based on Error Sensitivity Analysis
(MDPI, 2020-01-09)An elastic transmission error (TE) compensation method for a rotary vector (RV) speed reducer is proposed to improve its transmission accuracy based on error sensitivity analysis. Elastic and geometric TEs of the RV speed ... -
The Politics of Privacy Theories: Moving from Norms to Vulnerabilities
(Association for Computing Machinery, 2020-04-25)Privacy and surveillance are central features of public discourse around use of computing systems. As the systems we design and study are increasingly used and regulated as potential instruments of surveillance, HCI ... -
Tangibly Enhancing Haptics
(Association for Computing Machinery, 2015-01-15)In this paper, we describe the development of a novel, low-cost, compact sensor/actuator that can be integrated with a commercially-available haptic device, such as the Geomagic Touch, to provide additional capability when ...
RSS 1.0