UMBC College of Engineering and Information Technology
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Improving Safety in Reinforcement Learning Using Model-Based Architectures and Human Intervention
(2019-03-22)Recent progress in AI and Reinforcement learning has shown great success in solving complex problems with high dimensional state spaces. However, most of these successes have been primarily in simulated environments ... -
Extending Signature-based Intrusion Detection Systems With Bayesian Abductive Reasoning
(2019-03-28)Evolving cybersecurity threats are a persistent challenge for system administrators and security experts as new malwares are continually released. Attackers may look for vulnerabilities in commercial products or execute ... -
Hybrid Mortality Prediction Using Multiple Source Systems
The use of artificial intelligence in clinical care to improve decision support systems is increasing. This is not surprising since by its very nature, the practice of medicine consists of making decisions based on ... -
Change Detection in Large Evolving Networks
(IGI Global, 2019-04)This article presents a novel technique for the detection of change in massive evolving communication networks. This approach utilizes a novel hybrid sampling methodology to select central nodes and key subgraphs from ... -
An active forming grinding method for cylindrical involute gears based on a second-order transmission error model
(Science Research Association, 2019-03-23)An active form-grinding method is proposed to obtain excellent and stable contact performance of cylindrical gears by designing modification forms based on a predesigned controllable second-order transmission error ... -
Engineering metabolite-responsive transcriptional factors to sense small molecules in eukaryotes: current state and perspectives
(BioMed Central Ltd, 2019-03-26)Nature has evolved exquisite sensing mechanisms to detect cellular and environmental signals surrounding living organisms. These biosensors have been widely used to sense small molecules, detect environmental cues and ... -
On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning
(2019-03-25)In autonomous embedded systems, it is often vital to reduce the amount of actions taken in the real world and energy required to learn a policy. Training reinforcement learning agents from high dimensional image ... -
SenseBox: A DIY Prototyping Platform to Create Audio Interfaces for Therapy
(ACM, 2019-03-17)Customizable systems that let children and adults with disabilities control audio playback can support different forms of therapy, including music therapy and speech-language therapy. We present SenseBox, a low-cost, ... -
An Implicit High-Order Preconditioned Flux Reconstruction Method for Low-Mach-Number Flow Simulation with Dynamic Meshes
(2019-03-15)A fully implicit high-order preconditioned ux reconstruction/correction procedure via reconstruction (FR/CPR) method is developed to solve the compressible Navier{Stokes equations at low Mach numbers. A dual-time stepping ... -
Model input and output dimension reduction using Karhunen Loève expansions with application to biotransport
(2019-03-15)We consider biotransport in tumors with uncertain heterogeneous material properties. Specifically, we focus on the elliptic partial differential equation (PDE) modeling the pressure field inside the tumor. The permeability ... -
Selection of Optimal Hyperspectral Wavebands for Detection of Discolored, Diseased Rice Seeds
(MDPI, 2019-03-12)The inspection of rice grain that may be infected by seedborne disease is important for ensuring uniform plant stands in production fields as well as preventing proliferation of some seedborne diseases. The goal of this ... -
Modeling Optical Time and Frequency Generation and Transfer Systems
(2019-02-01)We describe the results of a project to carry out theoretical and computational modeling of frequency comb sources in support of experimental efforts in the DARPA PULSE program. This work had two thrusts. The first was ... -
The Fundamental Problem of the Science of Information
(Springer Nature Switzerland AG, 2019-02-28)The concept of information has been extensively studied and written about, yet no consensus on a unified definition of information has to date been reached. This paper seeks to establish the basis for a unified definition ... -
Dynamic Local Vehicular Flow Optimization Using Real-Time Traffic Conditions at Multiple Road Intersections
(IEEE, 2019-02-21)Dynamic management of vehicular traffic congestion to maximize throughput in urban areas has been drawing increased attention in recent years. For that purpose, a number of adaptive control algorithms have been proposed ... -
Revisiting hBFT: Speculative Byzantine Fault Tolerance with Minimum Cost
(2019-02-25)FaB Paxos sets a lower bound of 5f + 1 replicas for any two-step consensus protocols tolerating f byzantine failures. Yet, hBFT promises a two-step consensus protocol with only 3f + 1 replicas. As a result, it violates ... -
Effects of antimicrobial exposure on detrital biofilm metabolism in urban and rural stream environments
(Elsevier B.V., 2019-05-20)The occurrence of antimicrobials and other pharmaceuticals in streams is increasingly being reported, yet the impacts of these contaminants of emerging concern on aquatic ecosystems are relatively unknown. Bacteria and fungi ... -
A New Simplified Bioheat Equation for the Effect of Blood Flow on Local Average Tissue Temperature
(The American Society of Mechanical Engineers, 2019-02-11)The Journal of Biomechanical Engineering has contributed to biomechanical engineering field since 1977. To honor papers published at least 30 years that have had a long-lasting impact on the field, the Editors now recognize ... -
CCID: Cross-Correlation Identity Distinction Method for Detecting Shrew DDoS
(Hindawi, 2019-02-20)This study presents a new method for detecting ShrewDDoS (DistributedDenial of Service) attacks and analyzes the characteristics of the Shrew DDoS attack. Shrew DDoS is periodic to be suitable for the server’s TCP ... -
Cognitively Rich Framework to Automate Extraction and Representation of Legal Knowledge
With the explosive growth in cloud based services, businesses are increasingly maintaining large datasets containing information about their consumers to provide a seamless user experience. To ensure privacy and secu- rity ...
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