Engineering Commons^™

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 …

Machine Learning For Multiclass Classification And Prediction Of Alzheimer's Disease, Solale Tabarestani

FIU Electronic Theses and Dissertations

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder and a common form of dementia. This research aims to develop machine learning algorithms that diagnose and predict the progression of AD from multimodal heterogonous biomarkers with a focus placed on the early diagnosis. To meet this goal, several machine learning-based methods with their unique characteristics for feature extraction and automated classification, prediction, and visualization have been developed to discern subtle progression trends and predict the trajectory of disease progression.

The methodology envisioned aims to enhance both the multiclass classification accuracy and prediction outcomes by effectively modeling the interplay between the multimodal …

Novel Attacks And Defenses For Enterprise Internet-Of-Things (E-Iot) Systems, Luis C. Puche Rondon

FIU Electronic Theses and Dissertations

This doctoral dissertation expands upon the field of Enterprise Internet-of-Things (E-IoT) systems, one of the most ubiquitous and under-researched fields of smart systems. E-IoT systems are specialty smart systems designed for sophisticated automation applications (e.g., multimedia control, security, lighting control). E-IoT systems are often closed source, costly, require certified installers, and are more robust for their specific applications. This dissertation begins with an analysis of the current E-IoT threat landscape and introduces three novel attacks and defenses under-studied software and protocols heavily linked to E-IoT systems. For each layer, we review the literature for the threats, attacks, and countermeasures. Based …

Advance Solutions For Voltage Control And Optimization In Smart Grids, Temitayo Olayemi Olowu

FIU Electronic Theses and Dissertations

Voltage optimization and control on distribution networks is of uttermost importance to distribution system operators. The performance of the entire distribution network depends on the voltage profile of the system. The aim of this dissertation is to develop threefold advanced solutions that can effectively address and mitigate the voltage control and optimization issues of the smart grid. The first objective of this thesis is to develop accurate methods to quantify and analyze the expected variability individual and aggregated PV systems which significantly impact the voltage profile of grid-interfaced PV systems. We develop an improved statistical formulation, propose the use power …

Textile-Integrated Wearable Radio Frequency (Rf) Wireless Power Transfer And Harvesting For Battery-Free Medical Sensing, Dieff Vital

FIU Electronic Theses and Dissertations

Body-worn sensing is becoming increasingly important for patient monitoring, particularly the elderly. The vital signs can be directly transferred to their physicians, personal caregivers or used for self-diagnosis. To achieve this, wireless, wearable, and self-powered sensors are required. Wireless RF powering/charging, implemented into clothing, upholstery, and smart dressing presents itself as a convenient and practical solution for powering wearable sensors. In this dissertation, the implementation of such wireless charging platforms that are integrated into clothing, and the integration of medical sensor electronics is shown. Fabric-based wireless charging allows for lightweight, scalable, flexible, battery- less, and comfortable wearing. It is also …

A Multimodal Neuroimaging Approach For Classification And Prediction Of Alzheimer's Disease Using Machine Learning, Parisa Forouzannezhad

FIU Electronic Theses and Dissertations

Alzheimer’s disease (AD) is one of the most common neurodegenerative disorders among the elderly population. It is progressive, irreversible in nature, and is considered the main cause of dementia. AD has become a world health problem affecting developed and developing nations alike, with the number of diagnosed AD patients increasing rather dramatically as both the life span of humans and the earth’s population continue to increase. Therefore, AD diagnosis in its earliest manifestations, preferably at the presymptomatic stage is critical for the timely planning of treatment and therapeutic interventions. We introduce new machine learning algorithms to detect and predict Alzheimer’s …

A Comprehensive Security Framework For Securing Sensors In Smart Devices And Applications, Amit Kumar Sikder

FIU Electronic Theses and Dissertations

This doctoral dissertation introduces novel security frameworks to detect sensor-based threats on smart devices and applications in smart settings such as smart home, smart office, etc. First, we present a formal taxonomy and in-depth impact analysis of existing sensor-based threats to smart devices and applications based on attack characteristics, targeted components, and capabilities. Then, we design a novel context-aware intrusion detection system, 6thSense, to detect sensor-based threats in standalone smart devices (e.g., smartphone, smart watch, etc.). 6thSense considers user activity-sensor co-dependence in standalone smart devices to learn the ongoing user activity contexts and builds a context-aware model to distinguish malicious …

Ultra-Wideband Phased Arrays For Small Mobile Platforms, Alexander D. Johnson

FIU Electronic Theses and Dissertations

This dissertation presents the development of a new class of Ultra-Wideband (UWB) apertures for aerial applications by introducing designs with over 50:1 bandwidth and novel differential feeding approaches. Designs that enable vertical integration for flip-chip millimeter-wave (UWB) transceivers are presented for small aerial platforms. Specifically, a new scalable tightly coupled array is introduced with differential feeding for chip integration. This new class of beam-forming arrays are fabricated and experimentally tested for validation with operation from as low as 130 MHz up to 18 GHz. A major achievement is the study of millimeter wave beamforming designs that operate from 22-80 GHz, …

Cloud Workload Allocation Approaches For Quality Of Service Guarantee And Cybersecurity Risk Management, Soamar Homsi

FIU Electronic Theses and Dissertations

It has become a dominant trend in industry to adopt cloud computing --thanks to its unique advantages in flexibility, scalability, elasticity and cost efficiency -- for providing online cloud services over the Internet using large-scale data centers. In the meantime, the relentless increase in demand for affordable and high-quality cloud-based services, for individuals and businesses, has led to tremendously high power consumption and operating expense and thus has posed pressing challenges on cloud service providers in finding efficient resource allocation policies.

Allowing several services or Virtual Machines (VMs) to commonly share the cloud's infrastructure enables cloud providers to optimize resource …