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Articles 61 - 90 of 1054
Full-Text Articles in Electrical and Computer Engineering
Framework For Multi-Agent Coordination And Distributed Localization In Micro-Uavs, Minwoo Park, Nikolas Tambornini
Framework For Multi-Agent Coordination And Distributed Localization In Micro-Uavs, Minwoo Park, Nikolas Tambornini
Electrical Engineering
Micro-UAVs (unmanned aerial vehicles) due to their inexpensive nature and compact form factor have shown an increase in prevalence throughout a multitude of applications including, but not limited to: search and rescue, military reconnaissance, and agriculture monitoring. However, for a majority of these high impact applications, a swarm of micro-UAVs are required and furthermore mandate that they are able to cooperatively and autonomously coordinate with each other. For long, controlling and communicating between a user and a singular micro-UAV has been a well known and solved problem, however the same can't be said for swarms of micro-UAVs. This project seeks …
Marine Energy Collegiate Competition - Polywave Energy, Beneda Loya, Isaiah Martinez, Emily Nicoletta, Michael Weber
Marine Energy Collegiate Competition - Polywave Energy, Beneda Loya, Isaiah Martinez, Emily Nicoletta, Michael Weber
Electrical Engineering
This document is the final Electrical Engineering senior project report for Cal Poly’s 2025 Marine Energy Collegiate Competition (MECC) team. The goal of this project is to build and test a wave-energy converter designed to address the need for sustainable power generation for remote coastal community microgrids. These existing systems often rely on costly, fossil-fuel generators, creating both logistical and environmental challenges. Our device aims to provide a renewable, low-maintenance solution that can operate reliably in offshore environments and serve commercial or research applications. The goal of the electrical engineering team was to develop a system that can convert rotational …
Synthetic Aperture Radar Processing For Increased Resolution Of Englacial Strata, Ava Stockman
Synthetic Aperture Radar Processing For Increased Resolution Of Englacial Strata, Ava Stockman
Electrical Engineering
Glaciological research relies on a variety of remote-sensing methods to study the internal structure of glaciers and other bodies of ice. Synthetic Aperture Radar (SAR) serves as one method for imaging large cross sections of englacial strata, reducing the need for labor-intensive, costly, and hazardous ice coring expeditions and operations. Characterizing englacial structures using SAR images allows scientists to learn about the ice dynamics of past and present which provides the basis for discoveries about climate history and glacial dynamics. This project explores the benefits of employing various SAR processing methods to raw phase history data acquired through the British …
Digital Drone Arrays: Two-Tone Communication, Armin Behbahani, Alejandro Martin Cosper, Landon Leroy John Foster, Mont Ziadoon Murad
Digital Drone Arrays: Two-Tone Communication, Armin Behbahani, Alejandro Martin Cosper, Landon Leroy John Foster, Mont Ziadoon Murad
Electrical Engineering
Over the last few years, there has been great interest in distributed antenna arrays. These arrays require each element to be precisely located and synchronized with each other in time, phase, and frequency. To this end, a drone-mounted, two-tone communication system was developed. It uses a transmit-retransmit-receive architecture, which obtains all of the necessary data required to compute and correct the phase, frequency, and time differences between each element while estimating distance. When integrated into a distributed array of drones, this two-tone communication system will be essential for reliable operation.
Test Equipment Automation And Remote Operation Curriculum Senior Project, Raheel Rehmatullah
Test Equipment Automation And Remote Operation Curriculum Senior Project, Raheel Rehmatullah
Electrical Engineering
The goal of this project is to create new lab procedures and lab bench permutations for Cal Poly EE students to implement automated Test and Measurement equipment into their electrical engineering education. Currently EE students at Cal Poly have no classroom based opportunities to learn about leveraging software skills and test equipment knowledge in order to automate measurements, which is a valuable skill for an electrical engineer in the workforce. The curriculum outlined in this project will include three experiments, each leveraging an instrument controller, and Python as the primary scripting language. Each procedure will require students to write Python …
Autonomous Mapping Rover, Garrett Jones, Timothy Kyle Chu, Eugenio Caruso Pasos
Autonomous Mapping Rover, Garrett Jones, Timothy Kyle Chu, Eugenio Caruso Pasos
Electrical Engineering
This report details the design, implementation, and evaluation of "Rovero," an autonomous mapping rover developed as a senior project. Rovero integrates state-of-the-art technologies, including ROS2 for communication, SLAM algorithms for mapping, and sensor fusion for accurate navigation. The project aimed to achieve robust autonomous operation in indoor environments, leveraging a combination of LiDAR, IMU, and encoder data for real-time decision-making. Key challenges addressed include path planning, obstacle avoidance, and integration of multiple sensor inputs. Results demonstrate successful mapping capabilities and efficient navigation performance.
Project Owl: Quad Rc2, Ethan Cy Zane
Project Owl: Quad Rc2, Ethan Cy Zane
Electrical Engineering
Quad RC2 is a new radio designed to be compatible with the Cluster Duck Protocol (CDP). It must be able to act as all parts of the mesh network and be able to find its location with GPS. Much of the RC2 effort is already completed. This project ports the previously developed firmware to the new board and runs tests to assess its capabilities.
An Analysis Of The Power Consumption Of Various Computer Vision Machine Learning Techniques On A Microcontroller Utilizing The Clusterduck Protocol, Kaveh Shafiei
Electrical Engineering
Constant data processing is essential for effective data collection, particularly in remote and hard-to-reach areas. The need for efficient, autonomous data acquisition and transmission is increasingly addressed by integrating machine learning within larger communication networks. This paper explores the application of machine learning techniques with Internet of Things (IoT) mesh networks. Utilizing the LoRa communication protocol, data is captured and analyzed on an edge device and transmitted to a larger communication network. The ClusterDuck Protocol (CDP), developed by OWL Integrations, serves as an IoT mesh network designed to allow for communication in areas lacking traditional static infrastructure such as WiFi …
Leader-Follower Platooning With Turtlebot3: A Low-Cost Ros Test-Bed Using Vision-Lidar Fusion, Patrick Kelly Crandall, Kalon Ma Bienz
Leader-Follower Platooning With Turtlebot3: A Low-Cost Ros Test-Bed Using Vision-Lidar Fusion, Patrick Kelly Crandall, Kalon Ma Bienz
Electrical Engineering
This report presents the design, implementation, and indoor validation of a two-robot leader–follower platoon built on low-cost Turtlebot3 platforms. Each robot runs ROS Noetic on an on-board Raspberry Pi 4, fusing a fisheye camera for HSV-based lane detection with an LDS-02 LiDAR for clustering-based leader identification. A dual-loop architecture (PD steering for lateral control and PID for longitudinal gap regulation) maintains a 0.40m headway and keeps the follower centered within +/- 5 cm of the lane midline, without any inter-vehicle communication or external localization. Track experiments at speeds up to 0.18m/s achieved mean gap error of +/- 3 cm and …
Advanced Light Dimming Power Converter, Jaden Nguyen, Edwin Lin, Alan Thai
Advanced Light Dimming Power Converter, Jaden Nguyen, Edwin Lin, Alan Thai
Electrical Engineering
This senior project discusses and follows the development of the Advanced Light Dimming Power Converter meant to modernize the power electronics curriculum and improve student safety for a lab. The power converter attempts to replace the original experiment which includes a traditional TRIAC-based dimmer and focuses on demonstrating phase angle control for incandescent light bulbs. However, several drawbacks including high-voltage exposure and outdated technology warranted a revamp. The redesigned module includes a dual-experiment setup with an updated TRIAC-based dimmer circuit and a new AC-DC LED driver circuit with constant current control and PWM dimming capability. Both systems have been fabricated …
Improvements To Cal Poly's Hybrid Ac/Dc House, Brandon Ng, Andrew Nguyen, Logan Tom
Improvements To Cal Poly's Hybrid Ac/Dc House, Brandon Ng, Andrew Nguyen, Logan Tom
Electrical Engineering
This senior project details the improvements made to Cal Poly’s Hybrid AC/DC House project. The previous state of the house experienced issues with proper reading of the current power being drawn from the connected AC sources, as well as with the system’s multiple-input single-output converter, where thermal overheating of specific FETs prevented the system from reaching its maximum output power. The updates made to the AC/DC house include improved code to prevent faulty readings and display failure and a cleaned-up power monitoring board that removes noisy signals and allows for the correct power implementation to be displayed. In addition, the …
Compact Modular Photovoltaic System With Mppt Controller, Alain Ardash Kanadjian, Alex Aarnio, Christopher Arango
Compact Modular Photovoltaic System With Mppt Controller, Alain Ardash Kanadjian, Alex Aarnio, Christopher Arango
Electrical Engineering
Energy demands have been on the rise, as environmentally harmful power generation systems stay popular due to lower costs and compact designs compared to renewable energy infrastructure. We challenge this problem with a modular photovoltaic microgrid system for power generation in underutilized spaces. The Maximum Power Point Tracking (MPPT) charge controller employed is low-cost and power efficient. This controller monitors energy generation and usage in real time, with data logging through an online user-friendly interface. With support for a variety of solar panel and battery configurations, this scalable system helps provide a cost and space efficient solution to clean energy …
Development Of A Modular Dual-Phase And Single-Phase Buck Converter Laboratory Module, Maxwell John Kreizinger, Ethan David Robson
Development Of A Modular Dual-Phase And Single-Phase Buck Converter Laboratory Module, Maxwell John Kreizinger, Ethan David Robson
Electrical Engineering
This senior project entails the design, creation, and testing of a circuit board to exhibit the differences and advantages of the multiphase buck converter over the single-phase buck converter for use in a future power electronic laboratory experiment at Cal Poly State University. As energy demand requirements continually increase from more advanced and widespread use of technology, it is important to find a method of power delivery that maximizes efficiency while taking up as little area on a circuit board as possible. This is where the multiphase buck converter topology is desirable over the traditional single-phase buck converter topology. For …
A Turtlebot3 Hardware Testbed For Distributed Kalman Filter Localization, Dmitri Dobrynin, Indigo T. Garcia
A Turtlebot3 Hardware Testbed For Distributed Kalman Filter Localization, Dmitri Dobrynin, Indigo T. Garcia
Electrical Engineering
This report presents the preliminary design for a distributed localization framework for a multi-robot system. Many robotics research papers provide simulations of proposed algorithms in regards to formation control and task allocation. However, it is often that these proposals are without hardware experiments, being limited only to simulation. The objective of this framework is to provide a hardware implementation of a distributed Kalman filtering algorithm for multi-agent localization, as well as provide grounds for future multi-agent experiments. The framework is implemented on a swarm of three Turtlebot3 mobile robots. The robots can accurately localize themselves with respect to other agents …
Field Deployable Mobile Manipulator For Autonomous Apple Harvesting, Gabriel K. Basus, Antonio Bowen, Andrew Daouda
Field Deployable Mobile Manipulator For Autonomous Apple Harvesting, Gabriel K. Basus, Antonio Bowen, Andrew Daouda
Electrical Engineering
Increasing labor costs and agricultural demands have created a need for automated apple harvesting. However, automated apple harvesting via robotic manipulation must overcome certain challenges to be an effective and efficient method. First, the system must compete with or perform better than manual human labor. Second, it must safely and accurately navigate an apple orchard autonomously. Third, the robotic manipulator must be able to securely grasp and pick apples without causing damage. To address these challenges, this project utilizes a Husky UGV equipped with a 2D LiDAR sensor, an RGB-D camera, an IMU, an OpenManipulator-X robot arm, and a soft …
Experimentally Driven Numerical Model Of Carbon/Polyaniline-Based Glucose Monitoring Sensors: An Evaluation Using A New Figure Of Merit, Kyrillos Selim, Ziad Khalifa, Amira Ali, Sameh O. Abdellatif
Experimentally Driven Numerical Model Of Carbon/Polyaniline-Based Glucose Monitoring Sensors: An Evaluation Using A New Figure Of Merit, Kyrillos Selim, Ziad Khalifa, Amira Ali, Sameh O. Abdellatif
Electrical Engineering
This study presents an experimentally driven numerical model for evaluating carbon/polyaniline (PANI)-based glucose monitoring sensors (GMSs), focusing on innovative configurations using graphene-PANI and carbon nanotube (CNT)-PANI composites. We performed a thorough analysis of the morphological, electrophysical, and electrical properties of these materials, ultimately leading to the extraction of key electrical parameters for integration into a finite element model (FEM). This model simulates the entire sensor, enabling the estimation of critical performance metrics such as sensitivity, limit of detection (LOD), linearity, and power consumption. Our findings demonstrate that the CNT-PANI configuration significantly outperforms the laser-induced graphene (LIG)-PANI electrode, achieving a figure …
Machine Learning-Driven Optimization Of Piezoelectric Energy Harvesters For Low-Frequency Applications, Kyrillos Selim, Login Moustafa, Sameh O. Abdellatif
Machine Learning-Driven Optimization Of Piezoelectric Energy Harvesters For Low-Frequency Applications, Kyrillos Selim, Login Moustafa, Sameh O. Abdellatif
Electrical Engineering
To enhance energy harvesting efficiency, this paper explores the optimization of a cantilever-based piezoelectric energy harvester by integrating advanced machine learning (ML) methodologies. Leveraging a meticulously trained model on data sourced from a sophisticated two-dimension (2D) COMSOL Multiphysics numerical simulation, the study focuses on the critical input parameters, particularly the dimensions of the piezoelectric thin film. Through extensive simulations, the analysis delves into power density extraction and resonance frequency for various configurations. The culmination of rigorous simulations and analysis has led to the identification of an optimal design configuration for the cantilever piezoelectric energy harvester, characterized by a length of …
The Role Of Counter Electrode In Perovskite Solar Cell On Silicon Substrate To Enhance Power Conversion Efficiency For Cmos-Compatible Applications, Sameh O. Abdellatif, Eman Sawires
The Role Of Counter Electrode In Perovskite Solar Cell On Silicon Substrate To Enhance Power Conversion Efficiency For Cmos-Compatible Applications, Sameh O. Abdellatif, Eman Sawires
Electrical Engineering
This study investigates the impact of various counter-electrode materials on the overall power conversion efficiency (PCE) of perovskite solar cells (PSCs) fabricated on silicon substrates. We examined four distinct configurations using fluorine-doped tin oxide (FTO) as bare cell, copper (Cu), aluminum (Al), and highly p-doped silicon wafers as counter electrodes. The results indicate that the PSCs with Cu achieved the highest short-circuit current density (JSC) of 17.11 mA/cm2, while the p-doped silicon and aluminum showed lower JSC values of 16.19 mA/cm2 and 16.51 mA/cm2, respectively. Open-circuit voltage (VOC) values remained competitive across all cells, with FTO achieving a VOC of …
Introducing A Novel Figure Of Merit For Evaluating Stability Of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks, Zahraa Ismail, Ahmed Alali, Mahmoud Ashraf, Ahmad Muhammad, Sameh O. Abdellatif
Introducing A Novel Figure Of Merit For Evaluating Stability Of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks, Zahraa Ismail, Ahmed Alali, Mahmoud Ashraf, Ahmad Muhammad, Sameh O. Abdellatif
Electrical Engineering
This study introduces a novel figure of merit for evaluating the stability of perovskite solar cells (PSCs) by employing advanced Long Short-Term Memory (LSTM) neural networks to investigate degradation mechanisms. By harnessing the power of artificial intelligence and data analytics, we analyzed extensive datasets encompassing PSC parameters, experimental results, and environmental conditions, revealing critical insights into the degradation patterns affecting cell performance over time. Our findings indicate that the LSTM model effectively captures and predicts the complex relationships between key design parameters—efficiency, fill factor, and open-circuit voltage—and degradation-induced changes in PSCs. Specifically, we identified three degradation coefficients associated with the …
Gratings For Enhanced Sensitivity: Advancing D-Shaped Optical Fiber Surface Plasmon Resonance Sensors With Ag-Fe2o3 Structures, Yomna Seliem, Sameh O. Abdellatif
Gratings For Enhanced Sensitivity: Advancing D-Shaped Optical Fiber Surface Plasmon Resonance Sensors With Ag-Fe2o3 Structures, Yomna Seliem, Sameh O. Abdellatif
Electrical Engineering
This research delves into enhancing biosensing sensitivity by optimizing D-shaped optical fiber surface plasmon resonance (SPR) sensors employing - structures. By investigating the influence of different grating structures—rectangular, triangular, and elliptical—on sensor performance, a comprehensive analysis was conducted to ascertain the impact of these structural variations on sensitivity and detection precision. The study revealed that while the rectangular structure exhibited a sensitivity of 6.4 µm/RIU, the triangular structure outperformed with an impressive sensitivity of 7.2 µm/RIU. Moreover, the detection accuracy, quantified by the detection angle (DA), reached µ for the triangular grating, surpassing the rectangular grating’s detection angle of µ. …
Prototyping Various Mppt Techniques Used In Wind Energy Conversion Systems For Response Time Monitoring, Amro Kawashty, Sameh O. Abdellatif, Gamal Ebrahim, Hani Ghali
Prototyping Various Mppt Techniques Used In Wind Energy Conversion Systems For Response Time Monitoring, Amro Kawashty, Sameh O. Abdellatif, Gamal Ebrahim, Hani Ghali
Electrical Engineering
This paper focuses on prototyping various maximum power point tracking (MPPT) techniques used in wind energy conversion systems (WECS) for response time monitoring. MPPT plays a crucial role in optimizing the power extraction from wind turbines by dynamically adjusting their operating conditions to track the maximum power point. The response time of an MPPT algorithm determines how quickly it can adapt to changes in wind conditions and maximize power output. In this study, we implement and compare multiple MPPT techniques on an emulated WECS. Several commonly used MPPT techniques, such as perturb and observe (P&O), incremental conductance (IncCond), and tip …
Integration Of Artificial Intelligence With A Customized Four-Probe Station For I-V Characteristic Classification And Prediction, Sameh O. Abdellatif, Ahmed Ghanem, Ahmmat Abdel Whahid, Amr Hatem, Belal Ahmed
Integration Of Artificial Intelligence With A Customized Four-Probe Station For I-V Characteristic Classification And Prediction, Sameh O. Abdellatif, Ahmed Ghanem, Ahmmat Abdel Whahid, Amr Hatem, Belal Ahmed
Electrical Engineering
The incorporation of Artificial Intelligence (AI) is pivotal in automating intricate technical tasks, significantly enhancing accuracy and efficiency while alleviating the burdens of repetitive monitoring traditionally borne by technicians. This study focuses on developing a customized four-probe station integrated with sophisticated AI models aimed at classifying current–voltage () characteristics and extracting essential parameters. Our methodology encompasses the fabrication of precision-engineered gold-plated probes, meticulously assembled with a three-dimensional (3D) moving head to ensure optimal contact and measurement fidelity across a variety of electronic and optoelectronic devices. Data acquisition is executed via a source meter unit, followed by rigorous post-processing utilizing advanced …
Dc To Ac Voltage Source Converter Control System, Mohummad Tark Elgassier, Jordan M. Reichhardt, Brayden Richard Young
Dc To Ac Voltage Source Converter Control System, Mohummad Tark Elgassier, Jordan M. Reichhardt, Brayden Richard Young
Electrical Engineering
The Voltage Source Converter Control System integrates a control system for a 2-phase half-bridge voltage source converter (VSC) utilizing a TMS320F2837xD Dual-Core Real-Time Microcontroller. VSCs are critical for the integration of power production into the power grid. They allow for accurate control over DC-AC energy conversion. Additionally with the improvement of renewable energies VSCs play a critical role in controlling the flow of these environmentally controlled and more unpredictable sources of energy. The control system regulates the output current and voltage, regulates switching patterns, and maintains power stability under varying loads. Within the control system Digital control systems, PWM generation, …
Design, Control, And Evaluation Of A Photovoltaic Snow Removal Strategy Based On A Bidirectional Dc-Dc Converter For Photovoltaic–Electric Vehicle Application, Salma Elakkad, Mohamed Hesham, Hany Ayad Bastawrous, Peter Makeen
Design, Control, And Evaluation Of A Photovoltaic Snow Removal Strategy Based On A Bidirectional Dc-Dc Converter For Photovoltaic–Electric Vehicle Application, Salma Elakkad, Mohamed Hesham, Hany Ayad Bastawrous, Peter Makeen
Electrical Engineering
A novel self-heating technique is proposed to clear snow from photovoltaic panels as a solution to the issue of winter snow accumulation in photovoltaic (PV) power plants. This approach aims to address the shortcomings of existing methods. It reduces PV cell wear, resource loss, and safety risks, without the need for additional devices. A self-heating current is applied to the solar panel to melt the snow covering its surface, which is then allowed to slide off the panel due to gravity. The proposed system consists of a bidirectional DC-DC converter, which removes the snow cover by heating the solar PV …
Artificial Intelligence Computational Techniques Of Flywheel Energy Storage Systems Integrated With Green Energy: A Comprehensive Review, Abdelmonem Draz, Hossam Ashraf, Peter Makeen
Artificial Intelligence Computational Techniques Of Flywheel Energy Storage Systems Integrated With Green Energy: A Comprehensive Review, Abdelmonem Draz, Hossam Ashraf, Peter Makeen
Electrical Engineering
In recent years, the operation of the electric power grid has become more efficient and resilient due to the integration of renewable energy sources (RESs). Solar and wind energy are being incorporated aggressively into the main grid, while other RESs like biomass and geothermal energy are also on the rise. However, the intermittent nature of these RESs necessitates the use of energy storage devices (ESDs) as a backup for electricity generation such as batteries, supercapacitors, and flywheel energy storage systems (FESS). This paper provides a thorough review of the standardization, market applications, and grid integration of FESS. It examines the …
Low-Cost Vehicle Controller Testing System, Kevin R. Jung
Low-Cost Vehicle Controller Testing System, Kevin R. Jung
Electrical Engineering
This project aims to create a system to facilitate easier evaluation of PCBs designed for low-voltage vehicle applications with an emphasis on accessibility for student teams in collegiate design series' such as Formula SAE. Student teams or smaller vehicle electronics manufacturers often need to verify designs and validate functionality during both development and manufacturing. An inexpensive, small, and portable, yet capable, system for taking measurements and simulating inputs would allow designers to put their boards into vehicle-representative conditions and environments without needing to connect to actual vehicle hardware. Additionally, while systems exist off-the-shelf that could fulfill the requirements needed by …
Open-Source Cubesat Flight Board, Braydon M. Burkhardt
Open-Source Cubesat Flight Board, Braydon M. Burkhardt
Electrical Engineering
The Helmsman Flight Board is an open-source main flight computer and electrical power system for educational and entry-level CubeSats. The board incorporates commercial off-the-shelf (COTS) components in conjunction with simplified monitoring and management circuitry, supporting easy adoption, modifiability, and affordability while crucially enabling the emerging aerospace industry’s rapid ‘design-build-test’ methodology in student satellite teams. Its design includes essential CubeSat subsystems such as battery management, command and data handling, attitude determination, on-board processing, and is built to support real-time embedded operating systems. Key features include an Arm Cortex-M7 based STM32, radiation-resistant memory for OS storage, bulk Flash memory, real-time clock, two …
Addressing Output Ripples In Low-Power Cmos-Based Multistage Dc-Dc Boost Converters For Self-Powered Electrochemical Sensors Applications, Sameh O. Abdellatif, Ahmat Abdelwahid
Addressing Output Ripples In Low-Power Cmos-Based Multistage Dc-Dc Boost Converters For Self-Powered Electrochemical Sensors Applications, Sameh O. Abdellatif, Ahmat Abdelwahid
Electrical Engineering
No abstract provided.
Experimentally Validated Dynamic Equivalent Circuit Model Of Perovskite Solar Cells: Utilizing Machine Learning Algorithms For Parameter Extraction Using I-V And C-V Characteristics, Zahraa Ismail, Eman Sawires, Fathy Amer, Sameh O. Abdellatif
Experimentally Validated Dynamic Equivalent Circuit Model Of Perovskite Solar Cells: Utilizing Machine Learning Algorithms For Parameter Extraction Using I-V And C-V Characteristics, Zahraa Ismail, Eman Sawires, Fathy Amer, Sameh O. Abdellatif
Electrical Engineering
No abstract provided.
Numerical Modelling Of Carrier Transport In Organic Field Effect Transistors, Sameh O. Abdellatif, Salma Ahmed
Numerical Modelling Of Carrier Transport In Organic Field Effect Transistors, Sameh O. Abdellatif, Salma Ahmed
Electrical Engineering
No abstract provided.