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Articles 631 - 660 of 57611
Full-Text Articles in Entire DC Network
The Shrinking Caspian Sea: Eco‐Hydrological Responses To Human And Climate Pressures, Jesse Duku, Mohammad J. Tourian, Marzi Azarderakhsh, Rovshan Abbasov, Ali Mehran, Ali Torabi Haghighi, Stefanos Xenarios, Azara Boschee, Salih Babagiray, Mojtaba Sadegh, Nima Shokri, Ali Nazemi, Alireza Farahmand, Samaneh Ashraf, Temur Khujanazarov, Elmira Hassanzadeh, Dalal Najib, Daniel Placht, Shamshagul Mashtayeva, Ekaterina Rets, Hamid Norouzi, Kaveh Madani, Manoochehr Shirzaei, Hossein Shafizadeh-Moghadam, Chiyuan Miao, Ali Mirchi, Shuo Wang, Amir Aghakouchak
The Shrinking Caspian Sea: Eco‐Hydrological Responses To Human And Climate Pressures, Jesse Duku, Mohammad J. Tourian, Marzi Azarderakhsh, Rovshan Abbasov, Ali Mehran, Ali Torabi Haghighi, Stefanos Xenarios, Azara Boschee, Salih Babagiray, Mojtaba Sadegh, Nima Shokri, Ali Nazemi, Alireza Farahmand, Samaneh Ashraf, Temur Khujanazarov, Elmira Hassanzadeh, Dalal Najib, Daniel Placht, Shamshagul Mashtayeva, Ekaterina Rets, Hamid Norouzi, Kaveh Madani, Manoochehr Shirzaei, Hossein Shafizadeh-Moghadam, Chiyuan Miao, Ali Mirchi, Shuo Wang, Amir Aghakouchak
Publications and Research
The Caspian Sea, the Earth's largest inland water body, faces water level decline, drawing comparisons to the collapse of the Aral Sea. Unlike the Aral Sea, the relative roles of climatic variability, hydrological changes, and anthropogenic pressures on the Caspian Sea remain poorly understood. Here, we integrate satellite observations, in situ hydrological records and reanalysis data to examine recent drivers of the Caspian water loss. We show that total river inflow to the Caspian Sea has declined significantly, primarily due to reduced discharge from the Volga River. At the same time, precipitation over the basin has remained broadly stable, while …
Trends In Non-Profit Cybersecurity: Analyzing Three Years Of Incident Data From The Npcir, Stanley Mierzwa, Joanna Paliszkiewicz, Edyta Skarzyńska
Trends In Non-Profit Cybersecurity: Analyzing Three Years Of Incident Data From The Npcir, Stanley Mierzwa, Joanna Paliszkiewicz, Edyta Skarzyńska
Center for Cybersecurity
This study analyzes cyberattack trends targeting non-profit organizations using longitudinal data collected over a three-year period within the Non-Profit Cybersecurity Incident Repository (NPCIR). Developed through a National Security Agency Center of Academic Excellence in Cyber Defense (NSA CAE-CD) designated center, the NPCIR applies an open-source intelligence (OSINT) methodology to systematically document cybersecurity incidents affecting the global non-profit sector. This study examines attack types, threat actor characteristics, sectoral distribution, and cybersecurity impacts using the Confidentiality–Integrity–Availability (CIA) triad framework. The results indicate that availability-related incidents, particularly ransomware and distributed denial-of-service (DDoS) attacks, constitute the most prevalent threats, while confidentiality breaches remain highly …
Implementation Of A Mixed Precision Iterative Solver On An Amd Apu, Saeyeon Kim, Henrik Evers
Implementation Of A Mixed Precision Iterative Solver On An Amd Apu, Saeyeon Kim, Henrik Evers
Computer Science and Engineering Senior Theses
Solving systems of linear equations is a core operation in high-performance computing and many scientific and engineering applications. One of the most widely used direct methods for solving such systems is LU factorization. Mixed-precision methods accelerate these solvers by using low-precision LU factorization with iterative refinement, improving performance and energy efficiency while preserving high numerical accuracy. AMD Accelerated Processing Units (APUs), which integrate CPU and NPU resources, provide an opportunity to explore this approach on emerging heterogeneous architectures. However, effective NPU utilization remains challenging due to workload partitioning, buffer management, data-movement overhead, and software tooling limitations.
This project implements a …
Matching Two Long Interferometric Pathlengths Using Low Temporal Coherence Light For Finding Hong–Ou–Mandel Dip, Keith A. Wyman, Noah S. Everett, Anil K. Patnaik
Matching Two Long Interferometric Pathlengths Using Low Temporal Coherence Light For Finding Hong–Ou–Mandel Dip, Keith A. Wyman, Noah S. Everett, Anil K. Patnaik
Faculty Publications
Hong–Ou–Mandel (HOM) dip from a biphoton source in a two-photon interferometer provides a myriad of quantum tools for quantum communication and sensing. But the stringent requirements for spatial coherence between the photon pair makes it prohibitively difficult to observe high-fidelity HOM dip in long-distance free-space implementations, e.g., for the photon pairs involved in quantum communication need to match the two path lengths within a few 10 s of micron because of the short coherence width of the two-photon wave-packet. While many techniques for the pathlength balancing of two interferometric arms have been studied and applied extensively, such balancing is further …
Sleepfocus – The Attributes And Application, Austin Kim, Erik Keifer, Isaac Amedie
Sleepfocus – The Attributes And Application, Austin Kim, Erik Keifer, Isaac Amedie
Computer Science and Engineering Senior Theses
Insufficient sleep is a widespread public health concern, yet many consumer sleep tools still emphasize retrospective dashboards over personalized, actionable guidance. Platforms such as Apple Health, Fitbit, Whoop, and Oura collect detailed biometric and sleep data, but users are often left to interpret trends and decide what to change on their own.
SleepFocus was built to address that gap by turning wearable sleep data into clearer feedback, personalized recommendations, and healthier sleep routines. SleepFocus is a native iOS application that integrates with Apple HealthKit to collect sleep-stage data and biometric streams such as heart rate, heart rate variability, respiratory rate, …
Broncosgo: Driving Student Event Participation Via Human-Ai Collaborative Event Curation, Katherine Carter, Ethan Sychangco
Broncosgo: Driving Student Event Participation Via Human-Ai Collaborative Event Curation, Katherine Carter, Ethan Sychangco
Computer Science and Engineering Senior Theses
College campuses rely heavily on email communication for event advertisement. However, due to the sheer number of emails any student may receive, the individual effectiveness of each advertisement decreases. A better alternative for event promotion was needed. How could we introduce students to events they would not usually find on their own, without continuing to fill up their email inbox? And how would information on all of those events be collected and maintained without requiring organizations to jump through extra hoops? Our project, BroncosGo, solves this issue by maintaining a database of campus events which is populated with information provided …
Club Finance Management Application, India Bell, Lydia Martin, Sola Kawahara, Zachariah Wang
Club Finance Management Application, India Bell, Lydia Martin, Sola Kawahara, Zachariah Wang
Computer Science and Engineering Senior Theses
There are over 160 Registered Student Organizations (RSOs) at SCU as of 2023 [6]. There is currently no centralized system that RSO treasurers use to track and manage club finances. As a result, many organizations rely on fragmented methods such as spreadsheets, shared documents, email chains, and manual record keeping to manage budgets, reimbursements, and financial reports. These disconnected systems often lead to inconsistent organization, communication difficulties, and challenges during leadership transitions between club officers. This project proposes the development of a web-based Club Finance Management Application, Kaikei, designed specifically for Santa Clara University student organizations. The application centralizes financial …
Iajes Website Redesign, Justin Fan, Nicolas Gibson, Isabelle Hu, Anisha Malani
Iajes Website Redesign, Justin Fan, Nicolas Gibson, Isabelle Hu, Anisha Malani
Computer Science and Engineering Senior Theses
The International Association of Jesuit Engineering and Science Schools (IAJES) connects more than sixty Jesuit institutions worldwide to promote collaboration and shared learning in STEM research. Santa Clara University is one of more than sixty member universities whose faculty and staff participate in conferences and task forces to address priority issues identified by the Society of Jesus. IAJES’ existing website, built on a static no-code platform, limited the organization’s ability to manage content, support member interaction, and scale with its growing global network. Users faced unclear navigation options, a basic design, and no effective tools for managing roles, resources, or …
Wearable Hazard Detection System For The Visually Impaired, Nolan Daly, Sergio Diaz, Brandon Ng
Wearable Hazard Detection System For The Visually Impaired, Nolan Daly, Sergio Diaz, Brandon Ng
Computer Science and Engineering Senior Theses
This project presents a wearable assistive system designed to help blind or visually impaired people navigate their surroundings more safely. The system uses a Raspberry Pi 5 connected to Camera Module 3 (NoIR Wide) sensors to capture a wide field of view. Real-time object detection is performed using a lightweight YOLOv8 model, and a redundancy-based merging algorithm combines detections across cameras to improve reliability. By requiring agreement between multiple cameras, the system reduces false positives and increases confidence in identifying obstacles.
The device is designed to operate in real time and provide reliable feedback about nearby hazards, helping users make …
Stomp (The Student Organization Management Portal), Lindsey Leong, Madeline Follosco, Noelle Evanich, Irene Chang
Stomp (The Student Organization Management Portal), Lindsey Leong, Madeline Follosco, Noelle Evanich, Irene Chang
Computer Science and Engineering Senior Theses
At Santa Clara University, the Center for Student Involvement (CSI) leads to support hundreds of student-led organizations with different audiences and ambitions, but all aim to bring students together nonetheless. However, such development regarding student organization management proves to be much harder when administrative processes are decentralized and cumbersome, often involving numerous layers of manual work and departmental bottlenecks. Restructuring and optimizing administrative workflows would entail more energy towards the growth of student life at Santa Clara University.
The Student Organization Management Portal, or StOMP, is a web application that aims to centralize and optimize student organization-related processes, as well …
Real-Time Corridor Counting, Erick Sun, Jacob Lin, Jayden Malhotra, Joseph Hissen
Real-Time Corridor Counting, Erick Sun, Jacob Lin, Jayden Malhotra, Joseph Hissen
Computer Science and Engineering Senior Theses
Identifying traffic trends is a critical step in urban planning and design for the purpose of creating safer and more efficient roads. One such problem in the field of traffic data is corridor counting, which is the process of counting the unique number of vehicles that pass through a set of predefined intersections in a given time. In this paper, we develop an automated solution to perform corridor counting in real-time using camera footage and computer vision. We build upon the architecture of a previous Senior Design project, replacing and refining key components and architectural choices to improve accuracy and …
A Provable Semi-Infinite Programming Approach For Solving Constrained Dynamic Games, Tyler C. Gardner, Matthew W. Harris, Logan Lancaster
A Provable Semi-Infinite Programming Approach For Solving Constrained Dynamic Games, Tyler C. Gardner, Matthew W. Harris, Logan Lancaster
Mechanical and Aerospace Engineering Student Publications and Presentations
Many engineering problems must account for the non-cooperative decisions and actions of multiple players. These problems can be modeled within a game-theoretic framework. The approach herein is to model such problems as mathematical games, convert them to semi-infinite programs, and utilize a semi-infinite program solver whose output is provably an ϵ-optimal Nash equilibrium. The approach is successfully benchmarked on two low-dimensional problems. Two types of higher-dimensional linear quadratic dynamic games are then investigated: ones where each player’s problem is convex and ones where at least one player’s problem is nonconvex. Within each type, variations based on information structure, control …
Bilingual Math For Kindergartners (Biki), Anna Aldrin, Caroline Tapia, Lillian Le
Bilingual Math For Kindergartners (Biki), Anna Aldrin, Caroline Tapia, Lillian Le
Computer Science and Engineering Senior Theses
For many children from bilingual households, kindergarten represents a critical, learning benchmark where the introduction of fundamental math concepts coincides with their first significant exposure to the English language. Traditional educational methods often fail to support English language learners, leading to a disconnect between their understanding of math in the home and its application in the classroom. This linguistic barrier frequently results in reduced engagement, diminished confidence, and an unstable educational foundation that can discourage students from pursuing STEM careers later in life. While existing platforms like Khan Academy and Duolingo address either language acquisition or mathematical proficiency independently, they …
Bridgeide, Maya Srimal, Jeshwin Prince, Arnav Gupta, Will Zumbolo
Bridgeide, Maya Srimal, Jeshwin Prince, Arnav Gupta, Will Zumbolo
Computer Science and Engineering Senior Theses
Anyone who has done a group project knows the pattern: the first meeting burns an hour on logistics—which document to use, who has access, why the formatting broke on one laptop—before real work begins. In computer science courses that gap is worse. Students must install the right compiler, runtime, and libraries on their own machines; a four-person team on four different laptops can lose the first week to setup alone. Instructors who want to review submissions often download every zip from the learning management system and run each one locally. Existing tools solve pieces of this puzzle—real-time document editing, browser-based …
Maya Roots, Erin Schmidt, Megu Kanzawa
Maya Roots, Erin Schmidt, Megu Kanzawa
Computer Science and Engineering Senior Theses
This project focused on the continued development of Maya Roots, a mobile and web-based platform designed for farmers in Tahcabo: a rural agricultural community located in Yucatán, Mexico. Yucatán faces unique agricultural challenges due to its karst limestone terrain and highly variable land conditions that can significantly impact farming outcomes. At the same time, traditional agricultural knowledge such as Milpa farming practices is increasingly at risk of being lost across generations. These environmental and cultural challenges highlighted the need for a portable, accessible system that could preserve agricultural knowledge, improve access to geospatial information, and strengthen communication between farmers and …
Decoding Stock Market Movements: The Role Of Unemployment And Volatility, Bipllab Roy, Suparna Bhattacharjee
Decoding Stock Market Movements: The Role Of Unemployment And Volatility, Bipllab Roy, Suparna Bhattacharjee
Northeast Journal of Complex Systems (NEJCS)
This study investigates how unemployment and market volatility interact with stock prices in the Indian context, framing the stock–labour–volatility nexus as a complex adaptive system (CAS) rather than a set of linear, time-invariant relationships. Using verified secondary data on unemployment, India VIX, and NSE stock indices for 2013–2023, we first apply simple and multiple regression as a descriptive baseline. Results show a strong negative association between unemployment and stock prices (R ≈ 0.824, R² ≈ 0.68, p < 0.05), consistent with Keynesian demand-side channels, while the linear VIX–stock relationship is weak and statistically insignificant (R² ≈ 0.07, p > 0.05), consistent with the expectation that volatility operates through non-linear, regime-dependent mechanisms not captured by OLS.
Importantly, we document and transparently disclose critical …
Multidomain Modeling And Ramp-Aware Forecasting Of Floating Photovoltaic Systems For Water-Energy Nexus Applications, Md Atiqur Rahaman
Multidomain Modeling And Ramp-Aware Forecasting Of Floating Photovoltaic Systems For Water-Energy Nexus Applications, Md Atiqur Rahaman
Doctoral Dissertations
Floating photovoltaic (FPV) systems have become a transformative renewable energy technology because of their cooling effects on PV performance and ability to prevent water evaporation in land-constrained areas. Although FPV systems have the potential to become a commercially viable technology, their large-scale deployment remains constrained by uncertainties in thermal behavior, sustainability, and grid-operational variability. This dissertation identifies and characterizes these three key issues and presents an integrated, measurement-based evaluation of a 130 kW FPV installation located at the Passaúna reservoir in Brazil. In the first contribution, four temperature models, including physical and empirical models, were developed and comparatively evaluated to …
6tisch Based Sensing Network For Smart Agriculture, Riley Heike, Griffin Jones, Justin Odo, Jalen Paige, Rosalie Wessels
6tisch Based Sensing Network For Smart Agriculture, Riley Heike, Griffin Jones, Justin Odo, Jalen Paige, Rosalie Wessels
Computer Science and Engineering Senior Theses
This project investigates 6TiSCH (IPv6 over Time-Slotted Channel Hopping), a relatively recent IETF networking standard introduced in 2013 that combines deterministic TSCH scheduling, 6LoWPAN header compression, and RPL mesh routing to enable low-power, reliable, multi-hop wireless communication for IoT deployments. Despite its strong theoretical properties, 6TiSCH remains underexplored in practice, and real-world questions around configuration, scalability, power behavior, and end-to-end integration are not well documented. Our primary goal was to build and operate a working 6TiSCH network, characterize its performance through iterative testing, and understand what it takes to go from raw packet delivery to a complete data pipeline.
To …
Automating Distillation Column Internals Design Via Reinforcement Learning: A Hybrid Action Space Approach, Holden B. Broussard
Automating Distillation Column Internals Design Via Reinforcement Learning: A Hybrid Action Space Approach, Holden B. Broussard
Masters Theses
Distillation columns are the most used separation technique in all chemical fields. The design of column internals presents a hybrid action space problem, where trayed internal parameters are continuous and packed parameters are discrete; Hybrid meaning the action space consists of both discrete and continuous design parameters. Hybrid action spaces have presented a challenge in the reinforcement learning space, since the most robust algorithms are designed to handle specific action types. This research develops and validates a hierarchical multi-agent reinforcement learning framework that divides the action spaces into different agents. The Controller agent selects between internal types, the Soft Actor- …
Hyperdimensional Computing For Edge And Mobile Devices, Colin Eddy Dupuis
Hyperdimensional Computing For Edge And Mobile Devices, Colin Eddy Dupuis
Masters Theses
This thesis presents a set of four Hyperdimensional Computing (HDC) frameworks and their Android application implementations to evaluate efficiency and feasibility on resource-constrained devices. These proposed methods target a range of application domains, including wearable health monitoring, mobile malware detection, and activity recognition utilizing both computer vision and multiple sensor streams as input. The proposed frameworks utilize HDC’s simple, lightweight arithmetic operations to convert raw data into high-dimensional representations for use in both binary and multi-class classification schemes. Each method utilizes unique encoding techniques tailored for each use case, demonstrating the flexible nature and specialization HDC offers as an emerging …
Optimizing Co₂ Wag Flooding Parameters For Enhanced Oil Recovery And Formation Damage Control In Asphaltene Reservoirs Using Soft Experimentation, Derrick Amoah Oladele
Optimizing Co₂ Wag Flooding Parameters For Enhanced Oil Recovery And Formation Damage Control In Asphaltene Reservoirs Using Soft Experimentation, Derrick Amoah Oladele
Masters Theses
CO₂ Water Alternating Gas flooding has become an important enhanced oil recovery process in increasing oil production in medium to heavy oil reservoirs. However, CO₂ injections have the potential to cause asphaltene destabilization, leading to precipitation, deposition, and pore plugging. This study evaluated and optimized the effect of CO₂ flooding parameters to maximize oil recovery and minimized formation damage. Eclipse 300 compositional reservoir simulator was used to assess the effect of CO₂ Water Alternating Gas (WAG) Injection Rate, WAG Ratio, and CO₂ Water Alternating Gas (WAG) Injection Pressure on the reservoir. Predictive models for Cumulative Oil Production (FOPT) and Asphaltene …
Mimica, Sean Lai, Gurprasaad Hora, Stephanie Campos
Mimica, Sean Lai, Gurprasaad Hora, Stephanie Campos
Computer Science and Engineering Senior Theses
Language barriers remain a significant obstacle to natural human communication, limiting access to healthcare, business, travel, and daily social interaction for billions of people worldwide. Existing translation solutions such as smartphone applications and earpiece devices address the functional problem of converting words between languages but fail to preserve the speaker’s voice identity, require hands-on interaction, or depend on proprietary device ecosystems. These limitations disrupt the natural flow of conversation and reduce the human quality of cross-lingual communication.
Mimica is a real-time wearable translation necklace designed to address these shortcomings. Built around an ESP32-S3 microcontroller with an integrated microphone and speaker, …
Design And Parametric Testing Of A Transimpedance Amplifier For Low-Power Biomedical Applications, Stanlon Tan, William Chung, Brandon Wu
Design And Parametric Testing Of A Transimpedance Amplifier For Low-Power Biomedical Applications, Stanlon Tan, William Chung, Brandon Wu
Electrical Engineering
This project developed and evaluated an optical sensing system for detecting changes associated with glucose concentration. The system combined a laser-diode, cuvette sample holder, photodiode, resistive-feedback transimpedance amplifier, high-resolution analog-to-digital converter, and microcontroller. Parametric testing evaluated the effects of input current and feedback resistance on transimpedance gain, output range, and linearity. Firmware was developed to configure the ADC, average repeated conversions, monitor measurement variation, convert raw digital counts into voltage using a source-meter calibration equation, and compare sample measurements with a water reference. A cuvette enclosure maintained alignment between the laser-diode, sample, and photodiode while reducing external optical interference. Testing …
Performance Evaluation Of Roadside Unit-Assisted Wireless Communication For Connected Vehicles, Keyrollos A. Hanna, Ethan M. Nguyen
Performance Evaluation Of Roadside Unit-Assisted Wireless Communication For Connected Vehicles, Keyrollos A. Hanna, Ethan M. Nguyen
Electrical Engineering
This project presents the design and implementation of a wireless communication network intended to improve situational awareness between vehicles and reduce the likelihood of multivehicle collisions. Two TurtleBot3 Burger platforms equipped with Raspberry Pi computers were used to simulate vehicles operating within a shared environment. Communication latency and packet loss were evaluated under multiple operating conditions, including direct vehicle-to-vehicle communication and communication assisted by a roadside unit (RSU). The results were analyzed to determine whether the proposed system could transmit warning messages with sufficient speed and reliability for collision prevention applications. The project demonstrates the feasibility of low-cost vehicle communication …
Wildlife Tracking Via Uav&Rf, Nam Ah Nguyen
Wildlife Tracking Via Uav&Rf, Nam Ah Nguyen
Electrical Engineering
Animal tracking collars transmit very-high-frequency (VHF) beacon signals so researchers can locate tagged wildlife in terrain where direct visual tracking is difficult. This project develops a radio-frequency (RF) wildlife tracking prototype in which a UAV carries a receiving antenna and receiver over the search area to detect the collar signal and send measurements to a ground station. A transmitter test device was built to emulate a tracking collar. An STM32 microcontroller reads keypad input, controls a digital-to-analog converter (DAC), tunes a voltage-controlled oscillator (VCO) to the selected VHF frequency, and sends the RF signal through an amplifier and antenna. The …
Uav Trio Formations For Aerial Pest Deterrence With Vision-Based Bird Monitoring, Benjamin Andrew Ly, Chris Kwon, Christian Joseph Macaranas
Uav Trio Formations For Aerial Pest Deterrence With Vision-Based Bird Monitoring, Benjamin Andrew Ly, Chris Kwon, Christian Joseph Macaranas
Electrical Engineering
No abstract provided.
Portable Food Pasteurization Using Pulsed Electric Fields (Pef), Thomas E. Mcmillan Iii
Portable Food Pasteurization Using Pulsed Electric Fields (Pef), Thomas E. Mcmillan Iii
Electrical Engineering
Foodborne illnesses remain a significant public health concern, motivating continued development of alternative food pasteurization technologies. Pulsed electric field (PEF) treatment is a non-thermal pasteurization method that inactivates microorganisms through electroporation while minimizing thermal degradation of food products. The long-term objective of this project was development of a portable PEF food pasteurization system.
An iterative design approach was used to investigate generation of the high-voltage pulses required for PEF treatment. Multiple pulse forming network topologies were evaluated through simulation, leading to selection of a solid-state Marx generator architecture. A low-voltage five-stage prototype was designed, constructed, and tested to validate the …
Pv Performance Evaluation Study At Cal Poly Solar Farm, Eva Paola D. Calderon
Pv Performance Evaluation Study At Cal Poly Solar Farm, Eva Paola D. Calderon
Electrical Engineering
This photovoltaic (PV) system performance evaluation study aims to assess the performance of Cal Poly’s Gold Tree Solar Farm, which produces 4.5MW of solar energy. The evaluation concerns itself with the reliability of the PV system that can be affected by weather conditions, component malfunctions, and degradation of the PV modules. Under the International Energy Agency Photovoltaic Power Systems (IEA-PVPS) Task 13 objectives of reliability and maintenance, this study is necessary to contribute towards improvements in analysis and mitigation strategies for long term usage. Existing operational monitoring data from 2018 to 2025 is the focus timespan, providing real world data …
A Broadband, Dual Polarized Antenna For The Radio Neutrino Observatory In Greenland, Laken Baker
A Broadband, Dual Polarized Antenna For The Radio Neutrino Observatory In Greenland, Laken Baker
Electrical Engineering
Neutrinos contain information necessary to determine the origins of the universe and cosmic events because they can travel long distances with minimal interaction, preserving information about their cosmic origins. Since neutrinos interact with ice sheets resulting in RF radiation, antennas have been developed to detect RF transmissions.
A compact 'vane structure' (see Fig. 1a) dual-polarized broadband antenna model has been developed, constructed, and characterized according to input reflection coefficient, and co and cross-pol E and H plane radiation patterns using HFSS and Cal Poly San Luis Obispo’s anechoic chamber for the Radio Neutrino Observatory in Greenland (RNO-G) [1]. Its design …
Wireless Communication In Autonomous Vehicles, Kaylie Bao, Nicholas Andrews, Mark Negus
Wireless Communication In Autonomous Vehicles, Kaylie Bao, Nicholas Andrews, Mark Negus
Electrical Engineering
This project focuses on developing and testing a vehicle-to-everything (V2X) communication system using Dedicated Short Range Communications (DSRC) based on the IEEE 802.11p standard. The system uses the NXP i.MX 8XLite V2X Evaluation Kit, which includes the SAF5400 modem for wireless communication in the 5.9 GHz band.
The main goal of this project was to establish reliable communication between two V2X evaluation boards and to verify that custom, user-defined data could be transmitted between them. Through iterative testing, we were able to successfully send and receive custom 802.11 frames using the provided command-line tools and achieve consistent communication between nodes. …