Engineering Commons^™

An Approach To Evaluate Disability Using Machine Learning And Sensor-Equipped Instruments Demonstrated On Hand Grip Force Data, Prem Kumar Sivakumar

Wayne State University Dissertations

The goal of this research is to improve the process of rehabilitation. Even though the current tools and technologies are meeting the requirements of clinical use, there is a lot of room for improvement. Improving the tools used in therapy can help reduce costs and save time for the patient and the therapist by giving a valuable insight into the progress of the therapeutic process. Combining therapeutic tools with cognitive tools such as machine learning can assist a therapist to determine and predict functional ability and help patients keep track of their progress.

The long-term goal for instrumented outcome measures …

Learning Models For Corrupted Multi-Dimensional Data: Fundamental Limits And Algorithms, Ishan Jindal

Wayne State University Dissertations

Developing machine learning models for unstructured multi-dimensional datasets such as datasets with unreliable labels and noisy multi-dimensional signals with or without missing information have becoming a central necessity. We are not always fortunate enough to get noise-free datasets for developing classification and representation models. Though there is a number of techniques available to deal with noisy datasets, these methods do not exploit the multi-dimensional structures of the signals, which could be used to improve the overall classification and representation performance of the model.

In this thesis, we develop a Kronecker-structure (K-S) subspace model that exploits the multi-dimensional structure of the …

Analysis And Mitigation Of The Impacts Of Delays In Control Of Power Systems With Renewable Energy Sources, Chang Fu

Wayne State University Dissertations

ABSTRACT

Analysis and Mitigation of the Impacts of Delays in Control of Power Systems

with Renewable Energy Sources

by

Chang Fu

Apr. 2019

Advisor : Dr. Caisheng Wang

Major : Electrical and Computer Engineering

Degree : Doctor of Philosophy

With the integration of renewable resources, electric vehicles and other uncertain

resources into power grid, varieties of control topology and algorithms have been proposed to

increase the stability and reliability of the operation system. Load modeling is an critical part

in such analysis since it significantly impacts the accuracy of the simulation in power system,

as well as stability and reliability …

Optical Nanostructures For Controllable And Tunable Optical Properties, Ashfaqul Anwar Anwar Siraji

Wayne State University Dissertations

Optical nanostructures are heterogeneous media containing subwavelength inclusions in periodic or aperiodic fashion. The optical properties of optical nanostructure can be controlled and tuned using their constituent material properties and spatial arrangement of the inclusions. While optical nanostructures have been widely studied, controllable and tunable nanostructures using low loss transparent materials has not been studied in detail in the literature. The objective of this research is to perform efficient design and analyses of controllable and tunable optical nanostructures using low loss transparent materials.

To that end, versatile and highly accurate numerical methods like finite different tie domain and plane wave …

Developing A Real-World Vehicle Trip Dataset Through Public Travel Surveys And Applying It To Battery Electric Vehicle Performance Study, Nizar Ali Khemri

Wayne State University Dissertations

Real-world second-by-second vehicle driving cycle data is very important for research and development of the traditional fuel-powered vehicles, the emerging electric vehicles, and the hybrid vehicles. A project solely dedicated to generating such information would be extremely costly and time-consuming. Alternatively, we introduce a method to develop such a database by utilizing two publicly available passenger vehicle travel surveys; the 2004-2006 Puget Sound Regional Commission (PSRC) Travel Survey and the 2011 Atlanta Regional Commission (ARC) Travel Survey. The two surveys complement each other – the former is in low time resolution but covers vehicle driving and non-driving operation for over …

Distributed Optimal Power And Voltage Management In Dc Microgrids, Eyad A. Sindi

Wayne State University Dissertations

The work developed new control strategies to address fundamental issues of power balance, line loss reduction, and voltage profile management in DC microgrids. In microgrids of distributed renewable generations and controllable loads, load allocation to different distributed generators, line losses, voltage stability and quality are intimately coupled, departing significantly from traditional power grids in which economic dispatch and voltage stability are typically separate control tasks.

In this work, a multi-objective optimization strategy is introduced to address the challenges imposed by these coupled issues. Global optimal solutions are derived. Recursive optimization algorithms for distributed control strategies are introduced and shown to …