Engineering Commons^™

Ground Moving Target Detection For Airborne Radar Using Machine Learning Approaches, Rafi Ahmed

FIU Electronic Theses and Dissertations

Airborne radar faces many challenges to suppress unknown interferences from ground reflections to detect slow-moving targets. In this dissertation work, a feature-based machine learning approach is proposed to effectively classify target and interference such as ground clutter without actually removing them using traditional methods. Multiple features are considered for developing the target/clutter classification algorithms of airborne radars with digital arrays. The features we use for classification include the clutter proximity measures and target geometric feature.

The proximity feature is extracted to distinguish target, and clutter in location in the Doppler-angle domain for airborne radar. The Euclidean distance between a signal …

Novel Materials And Devices For Terahertz Detection And Emission For Sensing, Imaging And Communication, Naznin Akter

FIU Electronic Theses and Dissertations

Technical advancement is required to attain a high data transmission rate, which entails expanding beyond the currently available bandwidth and establishing a new standard for the highest data rates, which mandates a higher frequency range and larger bandwidth. The THz spectrum (0.1-10 THz) has been considered as an emerging next frontier for the future 5G and beyond technology. THz frequencies also offer unique characteristics, such as penetrating most dielectric materials like fabric, plastic, and leather, making them appealing for imaging and sensing applications. Therefore, employing a high-power room temperature, tunable THz emitters, and a high responsivity THz detector is essential. …

Advanced Methods For Performance Enhancement In Modern Distribution Networks, Iresha Shamini Dharmasena Konara Mudiyanselage

FIU Electronic Theses and Dissertations

Efforts towards decarbonized economy has added new pressures in the distribution network, especially with increased penetration of distributed generation, electrification of transportation, etc. It demands breakthrough technologies to be developed in different sectors such as in power systems, power electronics, communication, among others. The work of this dissertation investigates a twofold approach of distribution energy resources (DERs) implementation to address the challenges faced by modern power distribution network. The first approach is to develop advance control techniques for smart inverters that interlinks DERs to the grid to facilitate grid support services. A complexity reduced finite control set model predictive direct …

System Design And Control Optimization For Neurorehabilitation Exoskeleton, Rodrigo N. Ramon

FIU Electronic Theses and Dissertations

Neurorehabilitation is a comprehensive approach aimed at helping patients regain motor control after a neural injury, including spinal cord injury, stroke, or other ischemic events. Early-stage neurorehabilitation is particularly delicate due to voluntary muscular weakness and lack of motor control, presenting in the form of spasticity. Unfortunately, this period of elevated weakness is when most neural control improvement can be made through a phenomenon called brain plasticity. Early rehabilitation traditionally requires a human therapist due to the adaptive and dynamic interpretation of undesired neuromuscular events. While efforts have been made to develop devices to aid in neurorehabilitation, the considerations that …

Dual-Band Rf Receiver For Collocated Dsrc And 5g Millimeter-Wave Vehicle-To-Vehicle Communication, Sandhiya Reddy Govindarajulu

FIU Electronic Theses and Dissertations

In recent years, vehicle crashes have taken nearly 38,000 lives per year in the U.S., according to the National Highway Traffic Safety Administration (NHTSA). To improve the safety of the drivers, the Federal Communications Commission (FCC) has allocated the Dedicated Short Range Communications (DSRC) frequency spectrum, viz. 5.850-5.925 GHz band for vehicular communication. However, the limited bandwidth at the DSRC band provided an impetus to explore the millimeter-wave (mm-wave) spectrum that promises much higher data rates. Nevertheless, operating in the mm-wave spectrum comes with the expense of high path loss and attenuation due to rain.

To overcome the abovementioned problems, …

Transmission And Distribution Co-Simulation And Applications, Mohammad Asif Iqbal Khan

FIU Electronic Theses and Dissertations

As the penetration of flexible loads and distributed energy resources (DERs) increases in distribution networks, demand dispatch schemes need to consider the effects of large-scale load control on distribution grid reliability. Thus, we need demand dispatch schemes that actively ensure that distribution grid operational constraints are network-admissible and still deliver valuable market services. In this context, this work develops and evaluates the performance of a new network-admissible version of the device-driven demand dispatch scheme called Packetized Energy Management (PEM). Specifically, this work develops and investigates the live grid constraint-based coordinator and metrics for performance evaluation. The effects of grid measurements …

Thermal Aware Design Automation Of The Electronic Control System For Autonomous Vehicles, Ajinkya Bankar

FIU Electronic Theses and Dissertations

The autonomous vehicle (AV) technology, due to its tremendous social and economical benefits, is transforming the entire world in the coming decades. However, significant technical challenges still need to be overcome until AVs can be safely, reliably, and massively deployed. Temperature plays a key role in the safety and reliability of an AV, not only because a vehicle is subjected to extreme operating temperatures but also because the increasing computations demand more powerful IC chips, which can lead to higher operating temperature and large thermal gradient. In particular, as the underpinning technology for AV, artificial intelligence (AI) requires substantially increased …

A Machine Learning Framework For Identifying Molecular Biomarkers From Transcriptomic Cancer Data, Md Abdullah Al Mamun

FIU Electronic Theses and Dissertations

Cancer is a complex molecular process due to abnormal changes in the genome, such as mutation and copy number variation, and epigenetic aberrations such as dysregulations of long non-coding RNA (lncRNA). These abnormal changes are reflected in transcriptome by turning oncogenes on and tumor suppressor genes off, which are considered cancer biomarkers.

However, transcriptomic data is high dimensional, and finding the best subset of genes (features) related to causing cancer is computationally challenging and expensive. Thus, developing a feature selection framework to discover molecular biomarkers for cancer is critical.

Traditional approaches for biomarker discovery calculate the fold change for each …

Volitional Control Of Lower-Limb Prosthesis With Vision-Assisted Environmental Awareness, S M Shafiul Hasan

FIU Electronic Theses and Dissertations

Early and reliable prediction of user’s intention to change locomotion mode or speed is critical for a smooth and natural lower limb prosthesis. Meanwhile, incorporation of explicit environmental feedback can facilitate context aware intelligent prosthesis which allows seamless operation in a variety of gait demands. This dissertation introduces environmental awareness through computer vision and enables early and accurate prediction of intention to start, stop or change speeds while walking. Electromyography (EMG), Electroencephalography (EEG), Inertial Measurement Unit (IMU), and Ground Reaction Force (GRF) sensors were used to predict intention to start, stop or increase walking speed. Furthermore, it was investigated whether …

Parameter Estimation And Charge Control In Standalone And Grid-Tied Batteries, Asadullah Khalid

FIU Electronic Theses and Dissertations

Energy storage systems are the critical components enabling an electrified future ranging from electric vehicles (EVs) to microgrid (MG) applications. With the advancements in these applications, the operational dynamics of electrochemical energy storage such as Lithium-ion batteries need to be analyzed from the lifecycle impact, cybersecurity, balancing requirements, and prognostics perspectives. These operations enable the interconnected systems to be secure, efficient, and self-adaptive while reducing greenhouse emissions.

This research aims to develop threefold solutions. The first objective of this dissertation is to analyze lifecycle impact, quantify the interconnection requirements of battery energy storage systems, and evaluate cybersecurity frameworks for battery …