Engineering Commons^™

Cometrics: A New Software Tool For Behavior‑Analytic Clinicians And Machine Learning Researchers, Walker S. Arce, Seth G. Walker, Morgan L. Hurtz

Department of Electrical and Computer Engineering: Faculty Publications

Cometrics is a Microsoft Windows compatible clinical tool for the collection and recording of frequency- and duration-based target behaviors, physiological signals, and video data. This software package is designed to record in-vivo observational and physiological data. In addition, we have included features that allow observers to capture video from real-time camera feeds and import saved video for retroactive data collection. By using Microsoft Excel-based spreadsheets, also called keystroke files, assessment and treatment sessions are exported into a single document using the click of a button. Integrated interobserver agreement metrics allow comparisons across primary and reliability observers, with the output exported …

Experimental Evaluation Of Smart Electric Meters’ Resilience Under Cyber Security Attacks, Harsh Kumar, Oscar A. Alvarez, Sanjeev Kumar

Electrical and Computer Engineering Faculty Publications

For the first time, commercial grade smart meters have been subjected to cyber security attacks to understand their operation and security resilience under different attack scenarios. Cyber security is a matter of top concern for utility companies installing smart meters for remote collection of power usage data from customer premises. Keeping power-usage data secure and to maintain system’s resiliency under cyber security attacks is very important. In Smart electric grids, the power usage data from smart meters are periodically reported to the utility company. Reporting and remote monitoring of power usage data requires the use of data network protocols, which …

Real-Time Filters, Spencer Smith

Thinking Matters Symposium

This project's goal is to create a visual representation of digital signal processing using a Raspberry Pi Pico board. External components will interface with the Pico to supply digital signals and display the results after processing the signal. A microphone will supply the signal to the Pico which will perform a Fourier Transform on the data and output a spectrogram to a display. The display is named ILI9341 which includes an SPI interface, micro SD card slot, and a 2.2 inch screen. The spectrogram includes the magnitudes of the transformed signal at each frequency and time. Each magnitude is illustrated …

Crazyflie 2.1 Quadcopter Nonlinear System Identification, Nhat V. Nguyen, Hope Storro, John Plimpton

2023 Symposium

Quadcopters (quad) are used widely in many industries with crucial applications such as infrastructure inspection or package delivery. The Crazyflie 2.1 quad from Bitcraze provides an excellent platform for research and development. In this project, our goal is to perform system identification on the Crazyflie to propose a complete model. A gray box method is explored, which includes leveraging the parameters that are already known, to develop a set of equations. Through theory, simulations, and measurements, a complete quadcopter model is developed.

Efficient Hardware Implementation Of Deep Learning Networks Based On The Convolutional Neural Network, Anaam Ansari

Engineering Ph.D. Theses

Image classification, speech processing, autonomous driving, and medical diagnosis have made the adoption of Deep Neural Networks (DNN) mainstream. Many deep networks such as AlexNet, GoogleNet, ResidualNet, MobileNet, YOLOv3 and Transformers have achieved immense success and popularity. However, implementing these deep and complex networks in hardware is a challenging feat. The growing demand of DNN applications in mobile devices and data centers have led the researchers to explore application specific hardware accelerators for DNNs. There have been numerous hardware and software based solutions to improve DNN throughput, latency, performance and accuracy. Any solution for hardware acceleration needs to optimize in …

Model-Driven Analysis Of Ecg Using Reinforcement Learning, Christian O'Reilly, Sai Durga Rithvik Oruganti, Deepa Tilwani, Jessica Bradshaw

Publications

Modeling is essential to better understand the generative mechanisms responsible for experimental observations gathered from complex systems. In this work, we are using such an approach to analyze the electrocardiogram (ECG). We present a systematic framework to decompose ECG signals into sums of overlapping lognormal components. We use reinforcement learning to train a deep neural network to estimate the modeling parameters from an ECG recorded in babies from 1 to 24 months of age. We demonstrate this model-driven approach by showing how the extracted parameters vary with age. From the 751,510 PQRST complexes modeled, 82.7% provided a signal-to-noise ratio that …

Integrated Dc Microgrid Testbed For Qos Evaluation, Yasin Emir Kutlu, Ruairí De Fréin, Malabika Basu, Ali Malik

Conference papers

This poster describes the development of an integrated Direct Current (DC) Microgrid (MG) testbed, consisting of power system and computer networking hardware, e.g. Cisco 4331 Integrated Services Routers (ISR) and 500W AC/DC power supplies, to test the Quality of Service (QoS) of MG control packets which are delivered over Layer-2 and Layer-3 networking topologies. It facilitates an examination of control packets between MG end-points, that enable real-time power load sharing, in the presence of background computer network traffic such as video streaming. The effects of difference levels of background traffic on the round trip time of control packets are demonstrated.

Adversary Aware Continual Learning, Muhammad Umer

Theses and Dissertations

Continual learning approaches are useful as they help the model to learn new information (classes) sequentially, while also retaining the previously acquired information (classes). However, these approaches are adversary agnostic, i.e., they do not consider the possibility of malicious attacks. In this dissertation, we have demonstrated that continual learning approaches are extremely vulnerable to the adversarial backdoor attacks, where an intelligent adversary can introduce small amount of misinformation to the model in the form of imperceptible backdoor pattern during training to cause deliberate forgetting of a specific class at test time. We then propose a novel defensive framework to counter …

A General Model For Noisy Labels In Machine Learning, Glenn Dawson

Theses and Dissertations

Machine learning is an ever-growing and increasingly pervasive presence in every-day life; we entrust these models, and systems built on these models, with some of our most sensitive information and security applications. However, for all of the trust that we place in these models, it is essential to recognize the fact that such models are simply reflections of the data and labels on which they are trained. To wit, if the data and labels are suspect, then so too must be the models that we rely on—yet, as larger and more comprehensive datasets become standard in contemporary machine learning, it …

The Modernization Of Large Power Transformer Tanks, Babajide O. Williams

Electronic Theses and Dissertations

Due to the current demands placed on the power grid in terms of climate change, increasing urbanization, and terrorist attacks, the U.S. government in response to these demands, mandated that all the grid components be modernized in order to increase their reliability. As a critical component of the grid, Large Power Transformers (LPTs) play a key role in ensuring sustainable power generation and distribution. A literature search performed in this work and the analysis of data retrieved from the search showed that the tanks of these LPTs are critical to their durability, longevity, and reliability. Therefore, the reliability of LPTs …

Open Source Implementation Of Cortex M0, Sean Shao, Devin Hill

Electrical and Computer Engineering Senior Theses

The Cortex-M series is an immensely popular family of processors optimized for low cost, size, and power. The smallest of the M-family, the Cortex-M0, uses a 3-stage pipelined design. Despite their popularity, however, no publicly available open-source designs exist for the Cortex-M series. Thus, for our senior design project, we chose to create an open-source implementation of the Cortex-M0 processor in Verilog. This enables users to learn more about, experiment on, and make changes to the design of the processor.

Though our goal for this project was to support all the functionality of the Cortex-M0 processor (as defined in the …

Low Power Tinyml For Image Recognition, Robb Chun, Anonna Hasan

Electrical and Computer Engineering Senior Theses

TinyML is a rapidly developing field of machine learning that focuses on deploying complex neural networks on to edge devices such as microcontrollers and phones. The goal of this project is to train and deploy an image classification neural network on top of a Raspberry Pi Pico4ML that can be used in an application to assist the visually impaired. In this project, we will use the TensorflowLite for Microcontrollers platform in order to train and convert a convolutional neural network from Keras into a lightweight tflite model that can be deployed to the Pico4ML. Our tasks include training the image …

Microgrid Control System, Sofia Brumbaugh, Nathan Kehl

Electrical and Computer Engineering Senior Theses

As a result of many factors, microgrids are an emerging technology in today’s world, gaining popularity all over the globe. Each microgrid requires a controller that makes sure the microgrid functions properly. In this paper, we will design and simulate a controller which consists of primary and secondary control, and is able to disconnect, stabilize and reconnect the microgrid to the main grid in accordance with IEEE Standard 1547. We first tested our design in Simulink, then with OPAL-RT, and see that it meets all our requirements. By looking at the successful results we obtained, it is proven the controller …

Design Of Hybrid Inverters Using Wideband Gap Semiconductors For Microgrid Application, Luca Gacy

Electronic Theses and Dissertations

As the world becomes more reliant on renewable energy sources such as solar and wind power, the need for high efficiency high power inverters connected to homes is more relevant than ever. Connecting these renewable energy sources (RES) coupled with an energy storage system (ESS) to the grid through a hybrid inverter, with the highest efficiency and grid stability, is quickly becoming a necessity for the near future. This thesis explores the integration of wide band gap semiconductors for the power stage in these systems, along with the analysis of hybrid inverter topologies and structures. The goal of this thesis …

Guest Editorial: Special Issue On Green Iot For Future Space–Air–Ground–Ocean-Integrated Networks And Applications, Bo Rong, Mohamed Cheriet, Jon Montalban, Lei Shu, Yi Qian

Department of Electrical and Computer Engineering: Faculty Publications

The Internet of Things (IoT) plays a critical role in enabling the seamless integration of disparate devices. Future IoT will rapidly expand its coverage to offer future worldwide omnipresent applications and services by merging communications in diverse spatial domains to build the space–air–ground–ocean-integrated network (SAGOI-Net). SAGOI-Net will include a significant number of battery-powered network nodes, such as satellites, unmanned vehicles, and underwater devices, due to the extremely vast geographic reach and dynamics in free space. Given the battery limitations, high-energy-efficiency communications and networking will be critical to the future system. Green SAGOI-Net seeks to not only bring ubiquitous connectivity to …

V2g Optimization For Dispatchable Residential Load Operation And Minimal Utility Cost, Rosemary E. Alden, Ashutosh Timilsina, Simone Silvestri, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

Electric Vehicles (EVs) are gaining popularity among consumers and are expected to play a significant role in the future of transportation. Within this paper, a reverse auction is formulated through an optimization problem to minimize the utility energy cost using Vehicle-to-Grid (V2G) operation, as well as transition residential communities to dispatchable aggregate constant load profiles for demand response (DR). The evolution-ary V2G Auction (eV2GA), including the non-dominated sorting genetic algorithm (NSGA-II), is proposed for the formulated problem. It uses co-simulation with OpenDSS for power flow analysis as part of the objective function to account for physical constraints of infrastructure on …

Electric Water Heater Modeling For Large-Scale Distribution Power Systems Studies With Energy Storage Cta-2045 Based Vpp And Cvr, Rosemary E. Alden, Huangjie Gong, Tim Rooney, Brian Branecky, Dan M. Ionel

Electrical and Computer Engineering Graduate Research

As the smart grid involves more new technologies such as electric vehicles (EVs) and distributed energy resources (DERs), more attention is needed in research to general energy storage (GES) based energy management systems (EMS) that account for all possible load shifting and control strategies, specifically with major appliances that are projected to continue electrification such as the electric water heater (EWH). In this work, a methodology for a modified single-node model of a resistive EWH is proposed with improved internal tank temperature for user comfort modeling and capabilities for conservation voltage reduction (CVR) simulations as well as Energy Star and …

Programmable And Modular Dc-Dc Converter, Joshua C. Hutchinson, Elijah M. Gordon

Electrical Engineering

This project considers the design, implementation, and testing of an open-source dc-dc converter for microgrid prototyping. Unlike conventional dc-dc converters that are proprietary and require specialist knowledge, and are usually designed for a single function, the proposed dc-dc converter will comprise of a programmable MCU and a Raspberry Pi (RPi) interface to allow less-skilled consumers to monitor and modify a power converting system. We will develop an open-source library that contains voltage control, current control, maximum power point tracking, and battery charge control profiles. Each library will be easy to implement through a GUI on the Raspberry Pi and will …

Tank Level Controller Plc Lab, Siddhi Upadhyaya, Teghvir Grewal

Electrical Engineering

The California Polytechnic State University San Luis Obispo’s Electrical Engineering Department is currently developing lab experiments for the new EE435 (Industrial Power Control and Automation) class. In order to support these efforts, fourth year Cal Poly students are expected to develop laboratory experiments that will be conducted during this new class for the semester system. The lab experiment focused on in this project is called the Tank Level Controller. This experiment will introduce EE 435 students to Schneider Electric Programmable Logic Controller (PLC) hardware and software, which is prominent in the automation industry.
This experiment will require students to develop …

Hvac Fan Cooling System Using Modicon M580, Ogbonnaya Okoronkwo Okorie, Nicolas Jens Fache

Electrical Engineering

A common problem that many devices have when operating is overheating. Whether it is operating at full capacity or idle, those devices that we use exert heat to some type of extent. The physical and electronic components of the device can only withstand so much heat before the component becomes damaged. This product provides a method of preventing overheating by being a cooling system for your device. A solution for preventing overheating of the components in these electronic devices is by having some sort of cooling system. Our product’s cooling system will be based on energy efficiency, which means that …

Current Source Dc-Dc Converter For Undersea Fiber Optic Sensors, Richard Anthony Esplana Kwan, John Charles Rodinec, Andrew Armstrong

Electrical Engineering

Today, there are nearly 400 cable networks spanning roughly 750,000 miles to connect our world together. With thousands of miles of cable already lying on the ocean floor, with thousands more to come, many have recognized a unique opportunity in using this cable infrastructure as an attachment point for sensors to help study and monitor the ocean. Placing sensors onto a submarine cable is not a simple task; the sensors will require power that they receive from a transmission cable, from a battery, or from the submarine cable itself. Unfortunately, the existing power feed configuration for submarine cables typically only …

Photophoretic Optical Trapping, Essa Ababseh

Electrical Engineering

Photophoretic Optical Trapping (POT) is a relatively new concept in the field of optics which has potential application in 3D display. The POT is realized by confining a particle within a very small location of the optical system, mostly around the focus. The particle, if captured by the beam, has the potential to print visible 3D images in free space. Our POT system is encapsulated by an acrylic enclosure, which also incorporates a biconvex lens as well as an adjustable focus laser module. Particles are released around the top of the lens’ focal point until the captured particle can be …

Cybersecurity In Industrial Automation Lab Design For Ee 435, Jules Khalil Emile Hajjar, Emily Zhou

Electrical Engineering

This project involves the creation of an instructional laboratory aimed at teaching cybersecurity for industrial automation applications. Specifically tailored for Electrical Engineering students at Cal Poly, the experiment focuses on configuring the Modicon M580, a PLC from Schneider Electric, and serves to introduce students to relevant cybersecurity protocols and techniques. This project will be implemented into the EE435 (Industrial Power Control and Automation) course curriculum upon Cal Poly’s transition to the semester system.

Industrial Automation And Controls Lab: Smart Led Dimmer Control, Trevor J. Beck

Electrical Engineering

Programmable Logic Controllers (PLCs) are rugged industrial computers used extensively in many industries for automation and control. EE 435 is a course being developed to introduce students to PLCs. This project will focus on one section of the course, with the primary objective being to control the brightness of an LED based on input received from an ambient light sensor. The control logic will use a PLC with analog input and output modules to interface with the sensor and actuator hardware. The light sensor will output 4-20mA proportional to the intensity of visible light, measured in lumens. The analog input …

Battery Hardware Simulator, Kian N. Orang, Marcelo Garcia

Electrical Engineering

This project aims to develop a battery hardware simulator, which will serve as a tool for studying microgrids. The primary objective is to create a simulation system that can emulate various battery technologies that are used in microgrids, including lithium-ion and lead acid. By utilizing this battery simulator, Cal Poly students can safely test battery management systems and battery-sensitive electronics without the inherent risks associated with real batteries. Our project implemented this design with a 4-quadrant programmable power supply (ITECH) connected to an AP Systems grid tied inverter. The power supply acts as the battery which can receive or supply …

Development Of Multiple Input Single Output Dc-Dc Converter, Ryan Bailey, Miguel Carmona, Jose Velez-Lopez

Electrical Engineering

This senior project report details the testing and validation of the designed DC-DC Multiple Input Single Output converter. The MISO uses four-switch buck-boost topology to output a single 48V from multiple nominal 24V inputs. The previous iteration of the MISO was plagued with an overheating mosfet that would drastically reduce the lifespan of the boards and reduce efficiency. This newest iteration includes more ground panes to combat the issues. In addition, the 200W MISO board was redesigned to utilize an edge connector for secure installment, removal, and replacement in the actual DC House system panel. The slots also have a …

Smart Table Top, Conner Sima, Nathan R. Jaggers, Jacob Barnes

Electrical Engineering

Dungeons and Dragons 5th Edition (D&D) is a tabletop role playing game (TTRPG) with complicated mechanics and a seemingly overwhelming amount of information. D&D players are often looking for ways to more effectively track information and products that enhance their game experience. One such product is a custom miniature; players use these to track their character’s location and for the enjoyment of creating a physical representation of their imagination. Virtual Tabletops (VTT’s) were developed to make the entire experience digital. The digital nature of VTT’s make all of the game’s rules and mechanics accessible at the click of the mouse; …

Wireless Energy Harvesting System, Matthew Palma, Audrey Toop, Andrew Fahey

Electrical Engineering

The modern world is built upon wireless transmission of data. The signals that carry this data travel through the air, an untapped source of power. Unreceived transmissions are dissipated into useless forms of energy when they should be reclaimed. Wireless electronics can theoretically be powered by harvesting energy from the electromagnetic signals in the wireless internet frequency band. The aim of this project is to develop a system to capture ambient energy, convert it into DC power, and store the power for later use. The product will consist of three subsystems: an antenna receiver, a rectifier and voltage-multiplier, and a …

Sky Survey Radio Telescope, Jack E. Mcguigan

Electrical Engineering

This document outlines the design of a radio telescope designed to perform hydrogen line sky surveys. The telescope produces radio images mapping the intensity and relative velocities of hydrogen concentrations to their sky coordinates. Over the course of a day, the telescope images the regions of space visible to it, allowing sky survey imagery to be updated daily. Sky survey images are comprised of an array of pixels corresponding to specific sky coordinates. Each 8-bit RGB pixel contains information on the concentrations of hydrogen in the brightness and relative velocity in the color. Radio images mapping the concentrations and velocities …

Spice Modeling Of Biosensing Field-Effect Transistor, Alex Castro

Electrical Engineering

This project created a user manual on how to generate an easily configurable and implementable Spice model for Field Effect Transistor (FET) devices created in the Cal Poly clean room. The document contained step by step procedures depicting the proper execution techniques and example results for different experiments required to gather the proper information for these models. This testing methodology was shown for finding the numerous different device parameters of a FET, including the I-V curves, threshold voltage, and subthreshold current values. The manual then described how to transfer this data into a new Spice model to allow for simulation …