Browsing UMBC Computer Science and Electrical Engineering Department by Title
Now showing items 1-20 of 1194
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2021 Roadmap on Neuromorphic Computing and Engineering
(IOP Publishing, 2021-05-12)Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In this architecture, processing and memory units are implemented as separate blocks interchanging data intensively and ... -
3D Path-Following using MRAC on a Millimeter-Scale Spiral-Type Magnetic Robot
(IEEE, 2020-01-24)This paper focuses on the 3D path-following of a spiral-type helical magnetic swimmer in a water-filled workspace. The swimmer has a diameter of 2.5 mm, a length of 6 mm, and is controlled by an external time-varying ... -
A Compressive Sensing Approach To Hyperspectral Image Classification
(2019-01-01)Hyperspectral imaging (HSI) technology has found success in a variety of applications; however, its use is often still limited due to size, weight and power (SWaP) constraints. In this dissertation, compressive sensing ... -
A FRAMEWORK FOR ANALYZING THE IMPACT OF ACTUATION LIMITS ON CYBER-PHYSICAL SYSTEMS
(2020-01-20)Cyber-physical systems (CPS) are smart systems of networked computing and physical components. CPS are ubiquitous in industrial and consumer applications, ranging from control systems in smart power grids to phone touch ... -
A Framework For Detecting Anomalous Behaviors in Smart Cyber-Physical Systems
(2019-01-01)This dissertation makes significant contributions to automatic, scalable, and data-driven approaches for securing smart cyber-physical systems (CPS). Smart CPS are increasingly embedded in our everyday life. Security ... -
A Policy-based Framework for Privacy-respecting Deep Packet Inspection in TLS Implementations
(2019-01-01)Deep Packet Inspection (DPI) is instrumental in investigating the presence of malicious activity in network traffic, and most existing DPI tools work on unencrypted payloads. As the internet is moving towards fully encrypted ... -
A QUANTUM ALGORITHM TO LOCATE UNKNOWN HASHES FOR KNOWN N-GRAMS WITHIN A LARGE MALWARE CORPUS
(2020-01-01)Quantum computing has evolved quickly in recent years and is showing significant benefits in many fields. Malware analysis is one of those fields that could also take advantage of quantum computing. Combining software used ... -
A STUDY OF POLARIZATION ATTRACTION: THE FIRST APPLICATION TO A BPSK SIGNAL AND AN EVALUATION OF ROBUSTNESS TO TRANSMISSION IMPAIRMENTS
(2018-01-01)This thesis is a study of polarization attraction (PA), an all-optical polarization regeneration technique. PA is one implementation of a nonlinear lossless polarizer (NLP) that has demonstrated success for pulse train and ... -
ABATe: Automatic Behavioral AbstractionTechnique to Detect Anomalies in SmartCyber-Physical Systems
(IEEE, 2020-10-28)Detecting anomalies and attacks in smart cyber-physical systems are of paramount importance owing to their growing prominence in controlling critical systems. However, this is a challenging task due to the heterogeneity ... -
Abstract Decision Making and Concept Formation for Adaptability and Generalization
(2019-01-01)Generalization remains a central challenge for machine learning algorithms, especially when embodied in artificially intelligent agents that learn and plan under uncertainty. By using reinforcement learning (RL) or ... -
Accelerating a climate physics model with OpenCL
(IEEE, 2011-07-19)Open Computing Language (OpenCL) is fast becoming the standard for heterogeneous parallel com- puting. It is designed to run on CPUs, GPUs, and other accelerator architectures. By implementing a real- world application, a ... -
Acceptance of a speech interface for biomedical data collection.
(1997)Speech interfaces have the potential to address the data entry bottleneck of many applications in the field of medical informatics. An experimental study evaluated the effect of perceptual structure on a multimodal speech ... -
Accurate and Efficient Modeling of the Transverse Mode Instability in High Energy Laser Amplifiers
We study the transverse mode instability (TMI) in the limit where a single higher-order mode (HOM) is present. We demonstrate that when the beat length between the fundamental mode and the HOM is small compared to the ... -
ACM HotMobile 2013 Poster: An Energy Efficient Semantic Context Model for Managing Privacy on Smartphones
(ACM, 2013-07-01)Modern smartphones are capable of gathering massive amounts of data about a user and her context. While this data is mostly utilized for providing services that are better suited to the user, user data and context leakage ... -
Acquiring Forensic Evidence from Infrastructure-as-a-Service Cloud Computing: Exploring and Evaluating Tools, Trust, and Techniques
(2012-08-06)We expose and explore technical and trust issues that arise in acquiring forensic evidence from infrastructure-as-aservice cloud computing and analyze some strategies for addressing these challenges. First, we create a ... -
Active semi-supervised expectation maximization learning for lung cancer detection from Computerized Tomography (CT) images with minimally label training data
(SPIE, 2020-03-16)Artificial intelligence (AI) has great potential in medical imaging to augment the clinician as a virtual radiology assistant (vRA) through enriching information and providing clinical decision support. Deep learning is a ... -
An active transcoding proxy to support mobile web access
(IEEE, 1998-10-24)In this paper, we present a proxy based system (MOWSER) to support web browsing from mobile clients over wireless networks. Mowser is a proxy agent between the mobile host and the web server, which performs active transcoding ... -
Adaptive Accessible AR/VR Systems
Augmented, virtual and mixed reality technologies offer new ways of interacting with digital media. However, such technologies are not well explored for people with different ranges of abilities beyond a few specific ... -
Adding Semantics to Social Websites for Citizen Science
(AAAI, 2007-06-05)While efforts are underway to represent existing ecological databases semantically, so that they may be intelligently queried and integrated by agents, less attention has been paid to 1) rapidly changing datastreams, and ...