Computer Engineering Commons^™

Visual Inspection Model Of Uav Cluster Based On Improved Pigeon Flock Hierarchy, Qi Chen, Haoyang Cui

Journal of System Simulation

Abstract: Aim at UAV being vulnerable to the environmental interference and the low efficiency of the traditional single-person-UAV model in the transmission line inspection, a visual inspection model for the power line by UAV is proposed based on the improved pigeon flock hierarchy. The initial landmark point of the UAV is generated based on GPS coordinates of the aircraft-carrying vehicle and the tower to be inspected, and the movement trajectory is planned. The return point of the UAV is used to update the initial landmark of onward UAV, which realizes the dynamic handover between the work-exchanging UAV, and the landmark …

Design Of Interactive Simulated Water Gun Fire Fighting Training System Based On Steam Vr, Cheng Lu, Xuesheng Jin

Journal of System Simulation

Abstract: In order to save the fire fighting training resources and increase the immersion and experience of VR training, an interactive simulated water gun fire fighting training system based on Steam VR is designed. By using the Hall sensors and signal conversion circuit boards to collect and transmit the signal of the simulated water gun, and by using the Unity3D engine combined with the VIVE head-mounted display to build and present VR fire scene. The gun is controlled through C# programming to complete the interaction with the virtual fire scene. The system is evaluated by a post-questionnaire survey …

Application Of Observability In Performance Evaluation Of Photosynthesis Model, Hongnai Gao, Lijiang Fu, Qian Xia, Ya Guo

Journal of System Simulation

Abstract: The photochemical reaction of photosynthesis involves a variety of physiological substances that cannot be directly measured. By modeling the control system, the state of these physiological substances can be es-timated based on the chlorophyll fluorescence, but the reliability of the state estimation is not given in all the reference documents. In response to this problem, based on the photochemical reaction kinetic model, the observability of the nonlinear system is introduced to evaluate the reliability of the state estimation. Aiming at the existing observability methods lacking the direct comparability due to the different dimensions of the components of different states, …

Fuzzy Super-Twisting Second Order Sliding Mode Trajectory Tracking Control For Robotic Manipulator, Baolin Du, Dachang Zhu, Yihua Pan

Journal of System Simulation

Abstract: A fuzzy super-twisting second order sliding mode control method is proposed for the uncertainties of the model error and external disturbance on the trajectory tracking accuracy of robotic manipulator. Based on the dynamic model of the robotic, a new non-singular terminal sliding mode manifold is designed, and an improved super-twisting algorithm is used to design the second order sliding mode controller. In order to solve the problem that the matching disturbance can only be compensated under the condition of the known disturbance boundary in the sliding mode control, the fuzzy logic algorithm is used to carryout the online compensation …

Misinformation And Disinformation: Detecting Fakes With The Eye And Ai, Victoria Rubin

Data and Test Instruments

How do we detect, deter, and prevent the spread of mis- and disinformationwith the human eye and AI? How does theory inform the practice, and how do theevidence-based research and best practices in lie-catching and truth-seekingprofessions—inform AI? The book looks into well-established human practicessuch as the routines and processes used in detective work, journalism, and scientificinquiry, and how they contribute toward innovative AI solutions. The book explainsthe principles, inner workings, and recent evolution of five types of state-of-the-artAI technologies suitable for curtailing the spread of mis- and disinformation:automated deception detectors, clickbait detectors, satirical fake detectors, rumordebunkers, and computational fact-checking tools.

Machine Learning, The Mortar Of Modernization, Vishnu Pendyala

Open Educational Resources

Machine Learning is advancing civilization and is one of the key drivers of the economy today. Machine Learning literacy may one day become essential, the way computer literacy is today. This talk intends to explain Machine Learning concepts to wider audiences by using easy-to-relate real-world analogies and serves as a refresher to those already initiated. A fundamental concept in machine learning is similarity. The dot product that is ubiquitously present in machine learning is a measure of similarity. Similarity is key to human learning as well. We learn in delta increments by comparing and contrasting with what we already know. …

Container Migration In Ad-Hoc Wireless Mesh Networks, Gagan Gupta, Kyle Fenole, Siddharth Venkatesh

Computer Science and Engineering Senior Theses

This project aims to implement container migration on an ad hoc mesh network, which would allow for a mobile fog computing mesh network in areas with no connectivity. This kind of system would allow for a rapidly deployable and mobile compute cluster that could be used in rural scenarios or situations where existing connectivity infrastructures are out of commission i.e. disaster recovery. We use technologies like Docker, CRIU, and batman-adv to create a mesh compute network that is decentralized, flexible, and consistent. Docker with CRIU facilitates container live migration by checkpointing a container in one network node and restoring that …

Velachain: A Decentralized Exchange Built For Cross-Chain Communication, Connor Callahan, Bradley Lostak

Computer Science and Engineering Senior Theses

The blockchain industry is one of the fastest growing industries in the world right now. Billions of dollars of venture capital money is being put to work to innovate in this new space. One of the problems that has plagued the blockchain space since its inception is the lack of interoperability between blockchains. A single blockchain is great at dictating its own state but they rarely contain functionality to communicate with other blockchains. Furthermore, users on these blockchains have limited ways to swap cryptocurrencies from one blockchain to another. For this project, we built a cryptocurrency decentralized exchange built on …

Method And System For Automatic Selection Of One Or More Image Processing Algorithm, Tanushyam Chattopadhyay, Ramu Vempada Reddy, Utpal Garain

Patents

Disclosed is a method and system for automatic algorithm selection for image processing. The invention discloses the method and system for automatically selecting the correct algorithm(s) for a varying requirement of the image for processing. The selection of algorithm is completely automatic and guided by a plurality of machine learning approaches. The system here is configured to pre-process plurality of images for creating a training data. Next, the test image is extracted, pre-processed and matched for assessing the best possible match of algorithm for processing.

Brilliance Bias In Gpt-3, Ashley Troske, Edith Gonzalez, Nicole Lawson

Computer Science and Engineering Senior Theses

Language has a profound impact on how we perceive the world. With GPT- 3’s rise in popularity, present in 300 applications averaging 4.5 billion words per day, it is critical for us as programmers to identify and correct biases in its generations. A variety of biases have been identified in generative language models, spanning biases based on gender, race, and religion. Our project pioneers the study of the Brilliance Bias for generative models. This implicit, yet powerful bias imposes the idea of “brilliance” being a male trait and in turn, sets back women’s achievements starting as young as 5-7 years. …

Database Of Non-Government Organizations On The Global Scale, Jeremy Mekker

Computer Science and Engineering Senior Theses

Currently in the world, there are about 10 million non-profit/non-governmental organizations. In order to find these organizations, one must diligently scour the Internet for hours on end. Most research into helping refugees or those in need results in only finding larger organizations that cover many different tasks in the targeted area. This is an active problem. While larger organizations tend to help a wider audience of people, often the help that one would like to give does not get delivered as urgently as the donor would hope. In order to combat this, the primary objective would be to optimize the …

Neural Network Interpretability For Autonomous Driving Neural Networks, Raghav Kapoor, Casey Nguyen

Computer Science and Engineering Senior Theses

In the field of neural networks, there has been a long-standing problem that needs to be addressed: gaining insight into how neural networks make decisions. Neural Networks are still considered black boxes and are often difficult to understand. This lack of understanding becomes an ethical dilemma especially in the domain of self-driving cars. Given the limited number of works geared towards unravelling neural network logic for autonomous driving vehicles, our team seeks to create a novel neural network interpretability method to influence the neural network during its training process.

Deep Neural Networks have demonstrated impressive performance in complex tasks, such …

Improving Diversity In Journalistic Sources With Computer Vision, Austin Johnson, Carlos Mercado, Sabiq Khan

Computer Science and Engineering Senior Theses

News is a constant part of our lives, and has a significant impact on how we see the world. Simply put, journalistic sources are not diverse enough, and typically are only those in the majority. Newsrooms have made passionate declarations about wanting more diversity in their news sources. Our project aims to help with that. Building on top of the DEI toolkit, we aim to help newsrooms increase the diversity of their sources by analyzing their sources using a google search to pick an image and facial recognition software to determine the gender and race of the image.

Mysyllabi: An Online Syllabus Repository, Aristos Xanthus

Computer Science and Engineering Senior Theses

College students need more information when selecting coursework. During the time of course registration, students are limited to the course name, time, description, and professor. To make the best course selection, students need access to the syllabus which provides a comprehensive overview of the course as well as course-specific details such as the structure, workload, and teaching style. However, syllabi are hard to obtain before the first day of class, and they are seldom found online. Therefore, I propose MySyllabi, an online syllabus repository as a quick, accessible, and reliable location to find syllabi for a university’s classes/professors that will …

Expanding Neuro-Symbolic Artificial Intelligence For Strategic Learning, Dorian Clay

Computer Science and Engineering Senior Theses

Today, artificial intelligence is used to solve problems as varied as driving cars to diagnosing diseases. However, it still has major pitfalls. The most common form of AI today, machine learning, can produce near-certain predictions for some tasks, yet completely fail at a related but different task. Additionally, such algorithms cannot do reasoning for complex problems, are not well explainable, require massive training datasets, and are sensitive to new data.

One solution to these problems is combining today’s cutting-edge neural networks with an older idea in AI: symbolic AI. Such so-called “neuro-symbolic AI” systems can be understood at a high …

Netcon: Dynamic Resource Allocation To Containers Running On Network Switching Appliances, Siena Hanna, Justin Lee, Tania Pham

Computer Science and Engineering Senior Theses

A WiFi Access Point (AP) is an important technology that switches data packets to transmit and receive wireless signals to create WiFi. These Access Points (AP) can have powerful processors, but they are idle most of the time [1]. Instead, these idle processing resources could be redirected to run containers for low-latency applications. However, it is essential to ensure that the AP does not suffer performance issues as a result of running containers. The main function of APs is to switch packets, and this function must be preserved while containers are running. In this thesis, we propose a method, NetCon, …

Smartnic Compatible Blockchain, Gavin Jampani, Eish Kapoor, Vivek Ponnala

Computer Science and Engineering Senior Theses

The intent of our Senior Design Thesis was to develop a software infrastructure for Blockchain applications that is compatible with SmartNIC (smart network interface card) hardware to contribute to the future of edge computing and Blockchain. The demand on network infrastructure is exploding, with there estimated to be 41.2 billion active network connections in 2025, 30.8 of those being IOT [13]. Of these active network IOT connections, a growing plurality will contain SmartNICs, which add valuable compute into the crucial intersection between the network and individual server. With it forecasted that three-fourths of all enterprise data will be processed at …

Enhancing The Quality Of Service And Energy Efficiency Of Wifi-Based Iot Networks, Jaykumar Sheth

Engineering Ph.D. Theses

The 802.11 standard, known as WiFi, is currently being used for a wide variety of applications including Internet of Things (IoT). However, the contention between the traffic of IoT stations (STAs) as well as the contention between these flows and regular user-generated traffic reduces the energy efficiency and timeliness of IoT communication. To remedy this problem, in this thesis, we take the following approaches for mitigating the challenges faced by WiFi-based IoT networks: First, we highlight the importance of observability with respect to WiFi networks and how it helps the researchers to better examine the dynamics of issues and its …

Sengasafe, Patrick Zhang, Matthew Hall, Matthew Brunkhorst

Computer Science and Engineering Senior Theses

There is a lack of effective education about sexual health for women in rural Uganda. Compared to the rest of the world, Uganda has a very high incidence rate of cervical cancer. This is much higher than it should be because it is well established that the human papillomavirus (HPV) is the primary cause of cervical cancer, and vaccinations for HPV have been available in rural Uganda since 2006. However, most rural Ugandan women are not vaccinated due to poor vaccination delivery, negative attitudes towards vaccination, and other social cultural factors. The existing sexual education system run by the Ugandan …

Donation Pick-Up And Tracking App For Columbian Food Bank, Alex Fang, Arren Leung, Adrian Ramirez Lopez, Rodrigo Mejia

Computer Science and Engineering Senior Theses

Banco de Alimentos Cali is responsible for picking up food donations from local businesses, organizing by perishable dates, and distributing them to the communities in need. When donations are picked up from the donor, the bank is responsible for sending their donors a certificate with the donation's information, including the dollar equivalent of their donation. This certificate is sent out only if the donor requests it for tax deduction purposes. While this plan may seem simple in theory, the food bank often struggles to get the necessary information from their drivers in regards to the donation, which ultimately delays the …