Engineering Commons^™

Electronic Prototype Of A Smart Window System, Kelly Pennington

Electrical and Computer Engineering Senior Theses

As demands and cost for energy increase, the importance of energy saving devices will increase. Yet, as of now, the potential of such devices has yet to be fully realized. The Santa Clara University Smart Window considers the importance of energy saving devices and examines the potential of saving energy through a fully automated window. Ultimately, the Smart Window establishes a more efficient use of outdoor and indoor "energy" to create a more comfortable and user-friendly environment. This paper discusses the electronic design and implementation portion of the Smart Window research project. In particular, it focuses on the sensing, communications …

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 …

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 …

Santa Clara Radio Astronomy Project Ii (Scrap Ii), Logan Barnes, Michael Quang, Aria Rouzmehr

Electrical and Computer Engineering Senior Theses

The Santa Clara Radio Astronomy Program (SCRAP II) is the continuation of the previous year’s radio astronomy project. Building off of last year’s proof-of-concept, the goal of this project is to design and build a parabolic radio telescope that will boast improved antenna performance, more efficient data acquisition, and cleaner post-processing. These improvements in design strive toward a larger goal of enabling the students of Santa Clara University to explore the depths of our universe from Earth. In this paper, we improve upon a horn antenna design that was used in the previous year with a parabolic antenna. This, combined …

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 …

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 …

Project Hermes: The Socially Assistive Tour-Guiding Robot, Aly Khater, Justin Sun, Fernando Camou

Electrical and Computer Engineering Senior Theses

With the reduced amount of availability of a labor force for non-technical tasks, service robotics has grown to be used in place of human labor to handle these tasks. There have been various studies on the impact of using robotics in a sociological context. The use of service robots in a social and labor environment recognizes the need of cohesive Human-Robot Interaction (HRI). In this senior design project, we delve into the thought process of using a service robot in place of a human for tasks that are normally reserved for humans. These tasks outline design considerations when performing emotional-centric …

Robotic Arm Extrusion End Effector, Nicholas Viamin, David Blouin, Savannah Hunt, Nico Figueroa

Interdisciplinary Design Senior Theses

This senior design project aims to enhance the capabilities of the Rotrics AIO Desktop Arm (Dexarm) by designing and implementing an extrusion device capable of smooth and consistent extrusion for 3D printing applications. The project focused on ensuring safety, affordability, and ease-of-use for users, while achieving precise control over the extrusion process. Various mechanical and electrical components were carefully selected to ensure compatibility with the Dexarm and to provide optimal performance. To maintain safety, extensive testing and risk assessments were conducted to minimize any potential hazards associated with the extrusion process. To achieve smooth and consistent extrusion, precise control mechanisms …

Neurogen: Eeg And Near-Infrared Light Stimulation Control System, Arnold Nieto, Jaylinn Solis, Matthew Tamanaha

Interdisciplinary Design Senior Theses

Light stimulation or transcranial photobiomodulation (tPBM) therapy has been shown to be effective when treating patients suffering neurodegenerative diseases such as Alzheimer’s and Parkinson’s disease. While there is currently no cure, light stimulation can help alleviate symptoms for those patient’s suffering from these diseases. With this in mind, the senior design team from last year began a prototype hybrid electroencephalography (EEG) and tPBM device. They implemented a specific wavelength of 810 nanometer (nm) near-infrared (NIR) light emitting diodes (LEDs), with a 16 channel EEG headset from OpenBCI. The device was intended to serve as a potential research tool, with a …

Inter-Abled And Adaptable Arcade Controls And Cabinet, Emma Berry, Raquel Macias

Electrical and Computer Engineering Senior Theses

A considerable void exists in the digital gaming space, with a distinct lack of feasible control solutions for disabled gamers. The project aims to bridge this gap via a proof-of-concept arcade machine with interchangeable control surfaces, each catering to a different physical disability. In particular, the control boards aim to address the lack of accessibility of individuals with arthritis, as well as those with the use of only a single arm. To such an end, we design and implement STM32-based controllers which connect and interact directly with the host computer. Despite technical hardships, our results show that comprehensive control solutions …

Theia: The Handheld Eye-Tracking Interface For All, Christian Garcia, Edward Ghazarossian, Pranav Grover

Electrical and Computer Engineering Senior Theses

Eye tracking is a burgeoning technology that has found applications in market research, accessibility, and as an add-on to games. However, this technology still has room to grow in the consumer space, where touchscreens, keyboards, and mice dominate our interactions with technology. Interfaces that are primarily controlled using eye tracking are less common, and are not found in a handheld form factor. This paper explores the possibility of creating a handheld device that is primarily controlled using eye tracking. Our proposed system performs real-time filtering on eye tracking inputs in order to improve the accuracy and usability of the device. …

Biomimicry In Solar Energy Applications, Terrin Cramer, Yicheng Kang, Ryan Ogino

Electrical and Computer Engineering Senior Theses

While solar power is one of the leading renewable energy sources today, current solar farms produce an amount of byproduct heat that is contributing to rising global temperatures and the deaths of many birds. Furthermore, solar panels that use water as a coolant through a sprinkler system use up a great amount of water that could be allocated somewhere else. Our project seeks to address both of these issues through a biomimetic design. Drawing inspiration from the ghost plant, our proposed solar panel cooling system is expected to reduce the amount of byproduct heat produced by panels, increase the overall …

Air Conditioner Fail Safe Detector, Jonathan Li

Electrical and Computer Engineering Senior Theses

Air Conditioners are essential to human life. In an age of sudden temperature changes, moving systems, particularly HVAC (Heat Ventilation and Air Conditioning) systems, are the primary source to physically and financially protect the health of all workers, employees, and students. Air Conditioners are prone to mechanical and electrical malfunction/breakdown due to excessive use. Regular maintenance and service intervals are helpful but do not guarantee free-malfunction systems. When the systems break down, especially commercial systems, the repair cost can be highly expensive and time-consuming. Can we detect early signs of potential problems in the systems to minimize the repair cost …

B2b2: Lidar 2d Mapping Rover, Laurence Kim, Isaiah Youngblood, Quintion Turner

Electrical and Computer Engineering Senior Theses

Autonomous machines are becoming more popular and useful with even self-driving cars being a thing of the present. Most of these machines navigate using cameras and LiDAR which does not detect glass, therefore the machines give misleading results when objects and obstacles are transparent to the wavelengths of the light used. This is problematic in modern building floor plans with glass walls. A solution is to build a ROS system that fuses ultrasonic sensors with LiDAR sensors in order for a robot to navigate in a building that has glass walls. Using both sensors, the final product is a robot …

Wage Wizard, Jack Davey, Kyle Felip Mondina, Brett Rimmer

Interdisciplinary Design Senior Theses

Wage theft is a severe problem in Santa Clara County, with the Santa Clara Wage Theft Coalition identifying more than 25,000 local wage theft cases as of 20211. In this study we will be addressing the issue of wage theft particularly in the Santa Clara County caregiving industry. Wage theft is prevalent in the caregiving industry for several reasons. First, the industry employs many migrant Filipino workers who are unaware of their legal rights and protections or even the fact if they are experiencing wage theft or not. Second, the sizable undocumented portion of these workers are coerced to lower …

Emergency Hot Car Alert System, Alexander Lopez, Ryan Marquis, Christopher Park

Electrical and Computer Engineering Senior Theses

Children and pets are often forgotten in vehicles, and on hot days this can lead to heat-stroke, coma, and death. To avoid such preventable deaths, we designed a device that would be able to detect the presence of a vulnerable entity, such as a baby, with a temperature sensor and volatile organic compounds sensor. Once occupancy is recognized while the vehicle engine is off, the device will monitor the ambient temperature and will respond in real-time if the environment is deemed unsafe by triggering our alert system. The anticipated outcome is to avoid preventable deaths due to heat-stroke inside a …

Machine Learning Fmri Autism Classifier, Nicholas Luckenbach

Interdisciplinary Design Senior Theses

Autism Spectrum Disorder (ASD) is typically understood by observing patient behaviors. Advances in neuroimaging research and data collection have made it possible to investigate the neurobiological basis for ASD, and differences between subjects with ASD and healthy controls (HC) have been found using a variety of methods. Functional magnetic resonance imaging (fMRI) in particular has provided evidence for and against certain cognitive models of ASD based on measuring the functional connectivity of subjects’ brains. Various techniques have been explored for applying machine learning (ML) to fMRI data in order to find unique patterns and differences between ASD and HC subjects. …

Hardware And Software Infrastructure For An Agricultural Sensor Network, Bennett Dorsey, Mariela Zuniga

Electrical and Computer Engineering Senior Theses

With the rise of low-power processing and the availability of cheap solar, our project aims to create a low-power sensor network that can gather and report data with little oversight. The project will use a bluetooth mesh network to create a generalized solution where the network can start up regardless of the environment or number of nodes. Our tasks include designing algorithms that tackle redundancy in the face of node failure, self test and diagnostics, and power on and off strategies. The project aims to solve the problem of timing and communication when power is inconsistent and not shared. Our …

Hardware-Accelerated Ecg-Based True Random Number Generator, James Burrill, Sunjit Jayam

Electrical and Computer Engineering Senior Theses

Developing and proving the effectiveness of ECG-based TRNGs for use in cryptography applications related to implantable medical devices (IMDs) offers a novel approach to securing IMDs. Current ECG-based True Random Number Generators (TRNGs) are software orientated and computationally heavy with hardware implementations being suggested as one possible solution to make such TRNGs useful for the medical device industry. Hardware offers the opportunity to increase power efficiency through algorithmic optimization while maintaining device security. In this paper, we use Verilog design and FPGA simulation tools to demonstrate the potential for hardware-accelerated ECG-based TRNGs for use in low power cryptographic applications. This …

A Low-Cost, Long-Range, And Solar-Based Iot Soil Quality Monitor, Salvador Garcia, Trina Nguyen, Julian Wong

Interdisciplinary Design Senior Theses

The project objective is to create a low-cost, long-range, and solar-based IoT soil quality monitoring system. The system must transmit packages of data gathered from separate nodes, consisting of two dierent types of sensors, to a centralized gateway receiver to be displayed to the user in an elegant and readable manner. The end goal of the project is to supplement produce grown by large agricultural bodies around the United States without the misuse of water resources. This report presents the need for this system, details the components of the system, and the rationale behind design choices. It serves as a …

Marine Robot Sample Retrieving System, Valeriya Chulyukina, Noah Villar, Kekoa Blair, Mandeep Singh, Nathan Burke

Interdisciplinary Design Senior Theses

The exploration of our underwater ecosystems is critical. The aquatic ecosystem has a significant effect on human life, yet our understanding of the oceanic environment is severely lacking. Santa Clara University’s Robotic Systems Lab contributes to subsea exploration through its investment in remotely operated vehicle (ROV) technology. This project was done with the guidance of not only professors in the Robotics Systems Lab, but also stakeholders from the US Geological Survey scientists and researchers from the Monterey Bay Aquarium Research Institute (MBARI). Our team goal was to further advance SCU’s efforts by creating a sediment sample collection system consisting of …

Bioai For Anti-Infective Drug Discovery, Maria Esquivel, Johann Fernando, Anna Fisher, Cameron Leong, Adam Weaver

Interdisciplinary Design Senior Theses

Modern antibacterial drugs are quickly becoming insufficient for medical, agricultural and veterinary use, and the drug design techniques used to supplement the supply are not able to adequately and quickly produce enough effective candidates. We took a multi-pronged approach to remedying this problem, including shifting the target mechanism from antibiotic drugs in favor of anti-infective drugs, developing an AI which aimed to predict the interactions of small molecule fragments with the target protein, and refining wet lab testing protocols in order to make the drug design process holistically more efficient and effective. We have shown that there is potential in …

Cost Efficient Radio Telescope, Nick Arroyo, Brian Benedicto, Tyler Ikehara

Electrical and Computer Engineering Senior Theses

This project aims to construct a smaller and less expensive radio telescope compared to traditional radio telescope designs by utilizing a Software Defined Radio (SDR). This is the first stage of a multi-year effort to bring radio astronomy capabilities to Santa Clara University. The implementation of this project includes designing and building a pyramidal horn antenna centered around the hydrogen line frequency of 1420 MHz. The project will also be comparing specifications of low noise amplifiers (LNA) and designing band-pass filters. Lastly, this project implements an SDR to process the signals received by the telescope to recreate a map of …

Remote Crop Disease Detection Using Deep Learning With Iot, Ivy Chung, Anoushka Gupta

Electrical and Computer Engineering Senior Theses

Agriculture is such a vital part of our society, and according to the United Nations’ Food and Agricultural Organization (FAO), plant diseases are considered one of the two main causes of decreasing food availability. This paper explores not only the methods and findings of building a CNN-based disease detection model, but that of building a deployable remote crop disease detection system incorporating IoT technology. By using transfer learning with AlexNet, we were able to predict with 89.8% accuracy tomato plant images into one of the ten pre-defined disease classes. Our proposed system tracks plant health throughout the day by using …

Neurogen: Eeg And Near-Infrared Light Stimulation Control System, Karina Sanchez, Sruthi Sakthivel, Michael Bose, Evan Jennings

Interdisciplinary Design Senior Theses

Neurodegenerative diseases, such as Alzheimer’s disease and Parkinson’s disease are widespread, affecting millions of people worldwide. These diseases occur when neurons in the brain or peripheral nervous system progressively lose function and deteriorate. Current pharmacological treatments manage some of the neurological symptoms, but there is no cure yet. Interventions that mitigate or restore loss of function can fill the void until that goal is met. Light stimulation, or transcranial photobiomodulation (tPBM) therapy, can help treat people with neurodegenerative diseases, as it has been shown to improve sleep, attention, memory, and cognitive function.

The objective of this project is to develop …

Microgrid For Scu With Vehicle-To-Grid, Kurt Williams, Cameron Refaee

Electrical and Computer Engineering Senior Theses

Santa Clara University is a large loads in Santa Clara needed two finders and a maximum of over 8MW peak demand; however, this consumption will only increase as the student body and electric vehicles on campus continue to grow. To meet this rising demand in both a sustainable and environmentally friendly manner, we proposed and simulated a complete energy management system with cost analysis of energy savings of a microgrid capable of reducing the power supplied to Santa Clara University’s campus from the grid by 40% using renewable energy, vehicle-to-grid (V2G) functionality, and real SCU energy data. The project further …

Healthy Hive: A Beehive Health Management Tool, Kwadwo Amoako

Electrical and Computer Engineering Senior Theses

Honeybees are important pollinators and are essential in the preservation of ecosystems as well as agricultural production. They are crucial to the pollination of 85% of the world’s food crops. However, honeybee populations have been in decline over the past decade, due to external environmental conditions such as diseases and pests (invasive varroa mite), pollution (insecticide), or inadequate forage/poor nutrition. These conditions can have a severe impact on the health of hives. This project will serve as a tool for the monitoring system of tracking the activities of honeybees entering and exiting their beehive. The health condition of the bee …

A Low-Cost, Long-Range, And Solar-Based Iot Soil Quality Monitor, Salvador Garcia, Trina Nguyen, Julian Wong

Electrical and Computer Engineering Senior Theses

The project objective is to create a low-cost, long-range, and solar-based IoT soil quality monitoring system. The system must transmit packages of data gathered from separate nodes, consisting of two different types of sensors, to a centralized gateway receiver to be displayed to the user in an elegant and readable manner. The end goal of the project is to supplement produce grown by large agricultural bodies around the United States without the misuse of water resources. This report presents the need for this system, details the components of the system, and the rationale behind design choices. It serves as a …

Deep Learning-Based Low Complexity And High Efficiency Moving Object Detection Methods, Bingxin Hou

Engineering Ph.D. Theses

Moving object detection (MOD) is the process of extracting dynamic foreground content from the video frames, such as moving vehicles or pedestrians, while discarding the nonmoving background. It plays an essential role in computer vision field. The traditional methods meet difficulties when applied in complex scenarios, such as videos with illumination changes, shadows, night scenes,and dynamic backgrounds. Deep learning methods have been actively applied to moving object detection in recent years and demonstrated impressive results. However, many existing models render superior detection accuracy at the cost of high computational complexity and slow inference speed. This fact has hindered the development …

Crossroad - Avoid Crowd Intelligence, Xukun Zhang, Yuzheng Wu, Haochen Zhang

Interdisciplinary Design Senior Theses

Nowadays, waiting takes big chunks of daily-life activity. People may always find themselves facing long queues, waiting in a crowded facility, even when they have tried to avoid peak hours. Heading to a highly populated public area may have felt like heading to a battlefield. Without access to the real-time information of the facility, people start to discover that waiting starts to become an unpredictable event that can sometimes delay their schedule or even worse. This project serves as a solution to tackle this lack of transparency. Crossroad aims to combine facilities’ cameras with micro-controller to see the engagement of …