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Department of Electrical and Computer Engineering
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Distributed Nonlinear Model Predictive Control for Heterogeneous Vehicle Platoons Under Uncertainty (IEEE Xplore, 2021-09)This paper presents a novel distributed nonlinear model predictive control (DNMPC) for minimizing velocity tracking and spacing errors in heterogeneous vehicle platoon under uncertainty. The vehicle longitudinal dynamics ...
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(ASTES, 2021-01)Computer Vision is a domain which deals with the challenge of enabling technology with vision capabilities. This goal is accomplished with the use of Convolutional Neural Networks. They are the backbone of implementing ...
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(Elsevier, 2021-09-01)Rocket launch failure rate is slightly higher than five percent. Concerned citizens are likely to protest against private-sector launches involving fission reactors. Yet, fission reactors can power long-duration lunar ...
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(International Astronautical Congress, 2021-10)Solar power satellites must be large because sunlight is diffuse. Recent advances in developing fission fuel on the Moon raise the possibility of a nuclear powersat. Modest payloads of uranium oxide, transmuted from lunar ...
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(Institute of Electrical and Electronics Engineers, 2022)High-altitude pseudo-satellites (HAPS) may be kept aloft indefinitely with station-keeping provided by plasma air thrusters (PAT) using wireless power transfer (WPT) from a terrestrial phased array antenna (PAA). One example ...
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(International Astronautical Congress, 2021-10)Self-sufficiency of lunar operations is essential to establishment of an in-space economy. This work describes a sustainable step-wise pathway to energy, materials, finished goods, and food. The first lunar factory to ...
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(Elsevier, 2021-03)This paper describes the novel wireless routing protocol made for mobile ad hoc networks or wireless sensor networks using the bio-inspired technique. Bio-inspired algorithms include the routing capabilities taken from the ...
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(MDPI, 2020-11)Improved health care services can benefit from a more seamless exchange of medical information between patients and health care providers. This exchange is especially important considering the increasing trends in mobility, ...
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(The American Society for Clinical Investigation, 2019-12-02)In patients with acute myeloid leukemia (AML), 10% to 30% with the normal karyotype express mutations in regulators of DNA methylation, such as TET2 or DNMT3A, in conjunction with activating mutation in the receptor tyrosine ...
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(IEEE, 2020-09)Vehicle road departure mitigation system (RDMS), as new active safety technology, has been introduced into the market in recent years. This system can detect roadside objects and road edges to reduce the risk of roadway ...
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(IEEE, 2020-04)Segmentation and classification of cell nuclei in fluorescence 3D microscopy image volumes are fundamental steps for image analysis. However, accurate cell nuclei segmentation and detection in microscopy image volumes are ...
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(IEEE, 2021-02)Smart health is bringing vast and promising possibilities on the road to comprehensive health management. Smart health applications are strongly data-centric and, thus, empowered by two key factors: information sensing and ...
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(IEEE, 2020-09)Identifying interactions of vehicles on the road is important for accident analysis and driving behavior assessment. Our interactions include those with passing/passed, cut-in, crossing, frontal, on-coming, parallel driving ...
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(IEEE, 2020-10)The high-definition (HD) map is critical for the localization and motion planning of connected and automated vehicles (CAVs). With all the road and lane information pre-scanned in a certain area, the vehicles can know its ...
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(IEEE, 2020-09)In this paper, we propose a novel method for modeling the highway traffic using Probabilistic Petri nets (PPNs). More specifically, the highway has been partitioned into discrete segments and probabilistic measures are ...
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(American Society of Engineering Education, 2021-07-26)This paper studied the development of STEM identity for freshman students in Engineering. An Urban Research University received a 5-year S-STEM award in fall 2018. So far, two cohorts of scholars have received the scholarship ...
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(IEEE, 2020-08)With regards to Advanced Driver Assistance Systems in vehicles, vision and image-based ADAS is profoundly well known since it utilizes Computer vision algorithms, for example, object detection, street sign identification, ...
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(IEEE, 2020-09)In Deep Learning, Convolutional Neural Networks (CNNs) are widely used for Computer Vision applications. With the advent of new technology, there is an inevitable necessity for CNNs to be computationally less expensive. ...
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(Purdue University, 2019)Indiana Department of Transportation (INDOT) has over 300 digital cameras along highways in populated areas in Indiana. These cameras are used to monitor traffic conditions around the clock, all year round. Currently, the ...
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(IEEE, 2020-08)The Convolutional Neural Network (CNN) is a mathematical model designed to distill input information into a more useful representation. This distillation process removes information over time through a series of dimensionality ...