Wireless device classification techniques play a key role in promoting emerging wireless applications such as allowing spectrum regulatory agencies to enforce their access policies and enabling network administrators to control access and prevent impersonation attacks to their wireless networks. Leveraging spectrum distortions of transmitted RF signals, caused by transceiver hardware...
In recent years, the research community's interest in fully integrated mm-Wave wireless communication systems has increased significantly. With the standards for 5G NR now in place, the focus has shifted to actual deployment. Mm-Wave systems provide wider bandwidths, higher capacity, and lower latency than existing systems such as 4G. Higher...
This Thesis aims to determine whether we can improve the accuracy, resolution, and speed of calculations for common power system problems using simple computational models that scale well to machine learning and high performance computing solutions. The second chapter of this Thesis implements more precise aging and degradation models for...
This research presents the design of three nonlinear model predictive controllers (NMPCs) for floating oscillating water column (OWC) wave energy converters (WECs) array to maximize generated power, augmented with the control of the high-speed stop valves (HSSVs). Key to this design is the development of a high-fidelity discretized model for...
The integration of power electronics within the energy and transportation sectors enlists a demand for the rapid development of energy-efficient electrical systems. While model-based design and physics-based simulations are effective ways to handle the multi-disciplinary and multi-objective (MO) design of these complex systems, design exploration remains a time-consuming procedure. A...
Detection of illicit drug residues from wastewater provides a new route toward community level assessment of drug abuse that is critical to public health. However, traditional chemistry analytical tools such as liquid chromatography in tandem with mass spectrometry cannot meet the large-scale testing requirement in terms of cost, throughput, and...
This work gives some theory and efficient design of binary block codes capable of controlling the deletions of the symbol “0” (referred to as 0-deletions) and/or the insertions of the symbol “0” (referred to as 0-insertions). This problem of controlling 0-deletions and/or 0-insertions (referred to as symmetric 0-errors) is shown...
Current research into path planning for Unmanned Aerial Vehicles (UAVs) has placed a major focus on accomplishing the goals of various agents while avoiding collisions between each other. However, there has been little focus on whether the planned trajectories are fair for each agent.
This work provides an answer to...
Increasing threats of terrorism and contraband smuggling have led to a growing interest in millimeter wave/ THz security sensors. Recently, systems combining active and passive sensing into one unit have been proposed where the active mode provides information on range and reflectivity, and the passive mode complements the active by...
Converting energy from ocean waves is a challenging area for control theory application because of the nonlinear dynamics in various time scales. Generally, wave energy converter (WEC) control is applied in order to maximize power absorption, in the most common wave conditions, and subject to the devices’ physical constraints. Commonly,...
Electroencephalogram (EEG) signals have recently gained attention to classify associated hand movement. This is particularly useful for amputees with prostatic hands or people who are unable to move their hands voluntarily. Among the decoding algorithms used to classify hand movements are support vector machines and multilayer perceptron networks. In this...
Due to the advancement of incredibly low power microcontrollers and small form factor integrated circuits, energy harvesting can be considered as an alternative, low power source for remote ocean sensing and measurements. To demonstrate the effectiveness of harvesting thermoelectric energy contained in the temperature differential between ocean surface water and...
The United States depends on the electrical grid infrastructure for nearly every facet of its operation. Understanding how inclement weather affects the reliability of the grid and what the U.S. is doing to ensure its resiliency will be a key step moving forward into the 21st century as global climate...
The clean cookstove sector has long sought the tools and analysis methods needed to accurately quantify social, environmental, and economic impacts of projects in diverse settings. To respond to this need, Climate Solutions Consulting and Oregon State University have developed a novel integrated suite of sensors to collect fuel usage...
This work presents a high-resolution Delta-Sigma ADC which combines the use of the pseudo-pseudo-differential noise filtering technique with single-ended ring amplifier based integrators. The pseudo-pseudo-differential noise filtering technique utilizes single-ended circuits while maintaining the even-order rejection found in fully-differential structures which alleviates, in the active analog blocks, the need for...
Sensor system plays an important role in connecting everything including human body to the electrical information systems that we have built and that we are going to build, to make the world more intelligent and efficient. One of the key propulsive forces behind these emerging techniques is CMOS scaling that...
Ocean Wave Energy Converters (WECs) are of interest around the globe as global economies begin to shift their interest to renewable forms of energy. However, the devices are costly to construct–a quality that can be relieved through proper modeling, control, and implementation. This paper presents the numerical and hybrid simulation...
Wearable electronic devices are becoming increasingly widespread and are being used to fulfill a variety of needs. These devices range from purely infotainment type systems such as smartwatches and fitness oriented devices to specialized medical devices such as insulin pumps and heart-rate monitors. A challenge faced with all of these...
There are five main contributions of this dissertation. The first contribution is new closed-form expressions for channel capacity of a new class of channel matrices. The second contribution is the discovery of the structure for optimal binary quantizer and the associated methods for finding an optimal quantizer that maximizes mutual...
Significance: Movement intent decoding algorithms can interpret human bioelectrical signals to control prosthetic limbs with many degrees of freedom (DOFs). This work involves decoding volitional movement intent from surface electromyogram (sEMG) signals to control prosthetic arms. To train these algorithms, patients flex their muscles to “follow” a movement prompt, and...