Computer Engineering Commons^™

“Dancedemic” In A Pandemic: A New Networked Reality, Ellen Pearlman

Journal of Network Music and Arts

The Covid-19 pandemic of 2020 forced large parts of the globe and entire industries to shut down. Network connectivity became a necessary lifeline deploying a host of technologies that, while once considered experimental, were to be adopted as a vital part of just-in-time solutions-based practices. This report examines the implementation of one of these topologies in the form of an artist-built, artist-owned global network in the hopes that other small-sized organizations can benefit from these ad hoc, but successful solutions.

A Spectrum Of Online Rehearsal Applications: A Potential Means For Cultural Connection, Dana Kemack Goot, W. Scott Deal

Journal of Network Music and Arts

The current array of telematic music applications offers exceptional opportunities to transcend distance and enable networking between various cultures and communities. As a means to achieve this, network music applications require assessment through their previous implementations, installation requirements, cost, hardware requirements, and usability in order to assess their potential and to decipher improvements needed as a means of cultural connectivity. An early precursor of telematic music was an innovative concert by Paul Robeson in 1957, which circumvented political restrictions and enabled activism as it occurred, despite the U.S. State Department’s revocation of Robeson’s passport due to his left-wing tendencies and …

Telematic Immersion: Performance, Technology, And Audiovisual Work In Virtual Studies (2020) By Paulo C. Chagas, Cássia Carrascoza Bomfim

Journal of Network Music and Arts

This article discusses the concept of telematic immersion developed in partnership with composer Paulo C. Chagas. Focusing on Chagas’s work Virtual Studies (2020) for flute, live electronics, and 3D video, we reflect on different aspects of artistic creativity in the telematic environment including the use of audio and video technology and the multiple connections between musicians and apparatuses. The article discusses how the parameters of chamber music in the physical environment, such as the uniqueness of the live performance, the corporality of sound, and the visual and choreographic dimension of the performance are being transformed through the virtual setting of …

Sonic Proximities: Locating Oneself And The Others Within A “Migratory Journey”, Ximena Alarcon Diaz

Journal of Network Music and Arts

The INTIMAL App© is a mobile application that synchronously senses people’s walking rhythms in distant locations and then rhythmically sonifies these with the user’s chosen audio frequencies. Taken altogether, the perception of breathing and walking rhythms across space and time creates an embodied telepresence. At the level of content, the app has provided first-hand narrative accounts about the migration experiences of Colombian women living in Europe. These stories are meant to elicit a response from the listener, allowing for a path to be built out of new relationships that emerge between voices and sound frequencies. In the context of the …

Editorial, Sarah Weaver

Journal of Network Music and Arts

No abstract provided.

Spotlight Report #6: Proffering Machine-Readable Personal Privacy Research Agreements: Pilot Project Findings For Ieee P7012 Wg, Noreen Y. Whysel, Lisa Levasseur

Publications and Research

What if people had the ability to assert their own legally binding permissions for data collection, use, sharing, and retention by the technologies they use? The IEEE P7012 has been working on an interoperability specification for machine-readable personal privacy terms to support this ability since 2018. The premise behind the work of IEEE P7012 is that people need technology that works on their behalf—i.e. software agents that assert the individual’s permissions and preferences in a machine-readable format.

Thanks to a grant from the IEEE Technical Activities Board Committee on Standards (TAB CoS), we were able to explore the attitudes of …

Methodologies For Quantum Circuit And Algorithm Design At Low And High Levels, Edison Tsai

Dissertations and Theses

Although the concept of quantum computing has existed for decades, the technology needed to successfully implement a quantum computing system has not yet reached the level of sophistication, reliability, and scalability necessary for commercial viability until very recently. Significant progress on this front was made in the past few years, with IBM planning to create a 1000-qubit chip by the end of 2023, and Google already claiming to have achieved quantum supremacy. Other major industry players such as Intel and Microsoft have also invested significant amounts of resources into quantum computing research.

Any viable computing system requires both hardware and …

Collage Art Therapy Bot, Roland Afaga, Dyllon Au, Jeremy Victor Reyes, Alayna Wong

Computer Science and Engineering Senior Theses

Our Collage Art Therapy Bot is an application that utilizes collage therapy to help users navigate their feelings and give them a better understanding of themselves. Unlike other forms of art therapy, collage therapy is much more inclusive and does not require any artistics skill that may intimidate users from participating. The user interface is split into three sections: the photo library, the chat bot, and the photo collage. The user can scroll through the library and pick the photos that they feel connected to. Then, the chatbot prompts the user to tell it what made them choose the photo. …

Large Scale Database Audio Collection Of Tuberculosis Patients: : The Ekifuba Test, Jt Vinolus, Daniela De La Torre, Aimee Kerr, Jordan Randleman

Computer Science and Engineering Senior Theses

One of the top 10 causes of death, 1.5 million people die from tuberculosis (TB) every year. And yet, in 2018, 1.7 billion people were infected with the disease (“Global Health - Newsroom - Tuberculosis.”). This 99.99% recovery rate demonstrates that, when treated with antibiotics, TB is an extremely curable condition, but an early diagnosis is critical to surviving the illness. Developing countries face the largest hurdles to accessing TB screening technologies, and they make up a disproportionately high fraction of worldwide TB deaths. A possible solution to this problem would be to use machine learning (ML) to detect TB …

Quantum Computing And Resilient Design Perspectives For Cybersecurity Of Feedback Systems, Keshav Kasturi Rangan, Jihan Abou Halloun, Henrique Oyama, Samantha Cherney, Ilham Azali Assoumani, Nazir Jairazbhoy, Helen Durand, Simon Ka Ng

Chemical Engineering and Materials Science Faculty Research Publications

Cybersecurity of control systems is an important issue in next-generation manufac- turing that can impact both operational objectives (safety and performance) as well as process designs (via hazard analysis). Cyberattacks differ from faults in that they can be coordinated efforts to exploit system vulnerabilities to create otherwise unlikely hazard scenarios. Because coordination and targeted process manipulation can be characteristics of attacks, some of the tactics previously analyzed in our group from a control system cybersecurity perspective have incorporated randomness to attempt to thwart attacks. The underlying assumption for the generation of this randomness has been that it can be achieved …

Oliveai, Beckett Johnson, Alex Lewis, Ben Kummert

Computer Science and Engineering Senior Theses

Generative adversarial networks are being used to make original, AI generated content in many contexts, whether they are generating new works of art from a text description, or a completely fake person. Currently this technology is not being implemented in a way such that a user can practically interact with it in a way where users can actually use what is generated to improve their lives. We introduce OliveAI to explore a possible implementation of generative AI technology that users can practically and usefully interact with. OliveAI is a web app where users can provide a desired type of food …

Amber: Ai Music Based Emotion Regulation, Xavi Anderhub, Uma Bahl, Betty Hou, David Krakauer

Computer Science and Engineering Senior Theses

Music recommendations from apps are traditionally based on attributes like popularity or trendiness. While this method of recommending music may work for finding music in general, it does not address the granularity with which human emotions can change day to day, or even hour to hour. AMBER provides an accessible way to discover and listen to new music that matches one’s emotions in real time using the Spotify music platform and AI. Preliminary test results indicate that users found the music AMBER recommended to be more in line with the emotions they were feeling or wanted to feel. Future developments …

Cross-Issue Correlation Based Opinion Prediction In Cyber Argumentation, Md Mahfuzer Rahman, Xiaoqing "Frank" Liu, Joseph W. Sirrianni, Douglas J. Adams

Computer Science and Computer Engineering Faculty Publications and Presentations

One of the challenging problems in large scale cyber-argumentation platforms is that users often engage and focus only on a few issues and leave other issues under-discussed and under-acknowledged. This kind of non-uniform participation obstructs the argumentation analysis models to retrieve collective intelligence from the underlying discussion. To resolve this problem, we developed an innovative opinion prediction model for a multi-issue cyber-argumentation environment. Our model predicts users’ opinions on the non-participated issues from similar users’ opinions on related issues using intelligent argumentation techniques and a collaborative filtering method. Based on our detailed experimental results on an empirical dataset collected using …

Factors Influencing The Popularity Of Animation Series And Movies Among Chinese Audience On Online Video Websites, Shengyi Chen

Fordham Dissertations and Theses

Since 2010, online video platforms and computer animation technologies have been developing at an accelerated speed around the world. More and more animation works were produced by computers and then broadcast through new media, especially the online video platforms. With the help of computer technologies and the promotional effect of new media platforms, animation, a traditional art form, is gaining popularity among the youth around the world.

At the same time, animation producers often face a very real and challenging task – to decide whether to invest money in an animation program only with the script, a crude character …

Barrier Knockdown Test Control System For The Cal Poly Kinesiology Department, Regina M. Chapuis

Computer Engineering

The goal of this project is to design and implement a new control system for the LEDs and buttons on an existing Barrier Knockdown setup in the Cal Poly Kinesiology department. The Barrier Knockdown test is a testing apparatus in which subjects knock down a series of mechanical barriers in one of three patterns. The computer system times their reaction and movement time, and the test as a whole provides students with data to study the phenomenon of Contextual Interference. This system was previously controlled by an old computer setup that ultimately crashed. This project recreates the logic and user …

The Poly Rover Project, Eric Lei, Alla Alamsi, Neil Patel, Diego Ramos

Computer Engineering

The Polyver Project is an idea born from the curiosity of a few students who wondered what the interaction between a physical person and a rover as the host of random internet users would look like. It is also an experiment to enhance the exploration of real world sites in real time while also having the power of interaction.

The goal of the Polyver Project is to build the foundation for a system that can serve as the interface between the internet and a fleet of rovers. Each rover is equipped with at least a camera, microphone, and a speaker …

Smartphone Control Of Rc Cars, Weston R. Fitzgerald

Electrical Engineering

The smartphone-controlled RC (remote-controlled) car is an inexpensive remote-controlled car designed to be fast and portable. Instead of manufacturing, packaging, and shipping a separate controller, the remote control is implemented in a phone application, which saves time and money in both the design process and the manufacturing process. Utilizing the user’s smartphone is more cost-effective since mobile devices are a common recurrence, and packaging fewer devices results in overall better portability of the product.

This smartphone-controlled car is speedy and intuitive to learn for typical smartphone users. The user can change the car’s speed and direction wirelessly using their phone; …

Cybersecurity And You: Keeping Yourself And Your Personal Information Safe In A Digital Age, Ethan Castro

Goal 2: Life Skills Narrative

Students will engage in a group discussion in which they define cybersecurity, analyze its impacts on the private and public sectors, and review some key cybersecurity practices that they can implement in their daily lives.

Dual-Axis Precision Imager, Gary Huarng

Computer Engineering

The Dual-Axis Precision Imager (DAPI) is a drawing robot that processes images and draws them on a whiteboard. The system has two modes: a Sobel filter mode that finds the edges of the input image with a Sobel filter, and a tri-tone grayscale mode that approximates the shading of the input image with the colors white, gray, and black. The DAPI consists of an Arduino-controlled XY gantry system with a pen mounted on the gantry head, and a Processing IDE program that processes the original image, converts the processed image into gantry instructions, and sends them to the Arduino for …

A Study Of Grammar-Based Fuzzing Approaches, Ziwei Wu

Master's Theses

Fuzzing is the process of finding security vulnerabilities in code by creating inputs that will activate the exploits. Grammar-based fuzzing uses a grammar, which represents the syntax of all inputs a target program will accept, allowing the fuzzer to create well-formed complex inputs. This thesis conducts an in-depth study on two blackbox grammar-based fuzzing methods, GLADE and Learn&Fuzz, on their performance and usability to the average user. The blackbox fuzzer Radamsa was also used to compare fuzzing effectiveness. From our results in fuzzing PDF objects, GLADE beats both Radamsa and Learn&Fuzz in terms of coverage and pass rate. XML inputs …

Specialized Named Entity Recognition For Breast Cancer Subtyping, Griffith Scheyer Hawblitzel

Master's Theses

The amount of data and analysis being published and archived in the biomedical research community is more than can feasibly be sifted through manually, which limits the information an individual or small group can synthesize and integrate into their own research. This presents an opportunity for using automated methods, including Natural Language Processing (NLP), to extract important information from text on various topics. Named Entity Recognition (NER), is one way to automate knowledge extraction of raw text. NER is defined as the task of identifying named entities from text using labels such as people, dates, locations, diseases, and proteins. There …

Imnets: Deep Learning Using An Incremental Modular Network Synthesis Approach For Medical Imaging Applications, Redha A. Ali, Russell C. Hardie, Barath Narayanan Narayanan, Temesguen Messay

Electrical and Computer Engineering Faculty Publications

Deep learning approaches play a crucial role in computer-aided diagnosis systems to support clinical decision-making. However, developing such automated solutions is challenging due to the limited availability of annotated medical data. In this study, we proposed a novel and computationally efficient deep learning approach to leverage small data for learning generalizable and domain invariant representations in different medical imaging applications such as malaria, diabetic retinopathy, and tuberculosis. We refer to our approach as Incremental Modular Network Synthesis (IMNS), and the resulting CNNs as Incremental Modular Networks (IMNets). Our IMNS approach is to use small network modules that we call SubNets …

A Nano-Drone Safety Architecture, Connor J. Sexton

Master's Theses

As small-form factor drones grow more intelligent, they increasingly require more sophisticated capabilities to record sensor data and system state, ensuring safe and improved operation. Already regulations for black boxes, electronic data recorders (EDRs), for determining liabilities and improving the safety of large-form factor autonomous vehicles are becoming established. Conventional techniques use hardened memory storage units that conserve all sensor (visual) and system operational state; and N-way redundant models for detecting uncertainty in system operation. For small-form factor drones, which are highly limited by weight, power, and computational resources, these techniques become increasingly prohibitive. In this paper, we propose a …

Learning With Your Buddies: An Investigation Of Community Based Ux Design Learning On Discord, Grace Ling

Computer Science and Engineering Master's Theses

Online communities have been a major part of how people connect with others to learn about different perspectives. In this thesis, I examine ways people use Discord, one of the major online community platforms, to learn UX design.

In this research, I designed a study, collected data from the Design Buddies Discord, and conducted semantic content analysis to investigate the community learners, job seekers, and mentors’ dialogues. I then used social network analysis to uncover patterns in connections. Lastly, I conducted a qualitative evaluation to survey and to understand the usefulness of Design Buddies.

The results show that a balance …

Taxi Travel Time Based Geographically Weighted Regression Model (Gwr) For Modeling Public Housing Prices In Singapore, Yi’An Wang, Fangyi Cai, Shih-Fen Cheng, Bo Wu, Kai Cao

Research Collection School Of Computing and Information Systems

In this research, a taxi travel time based Geographically Weighted Regression model (GWR) is proposed and utilized to model the public housing price in the case study of Singapore. In addition, a comparison between the proposed taxi data driven GWR and other models, such as ordinary least squares model (OLS), GWR model based on Euclidean distance and GWR model based on public transport travel time, have also been carried out. Results indicates that taxi travel time based GWR model has better fitting performance than the OLS model, and slightly better than the Euclidean distance-based GWR model, however, it is not …

Who Is Missing? Characterizing The Participation Of Different Demographic Groups In A Korean Nationwide Daily Conversation Corpus, Haewoon Kwak, Jisun An, Kunwoo Park

Research Collection School Of Computing and Information Systems

A conversation corpus is essential to build interactive AI applications. However, the demographic information of the participants in such corpora is largely underexplored mainly due to the lack of individual data in many corpora. In this work, we analyze a Korean nationwide daily conversation corpus constructed by the National Institute of Korean Language (NIKL) to characterize the participation of different demographic (age and sex) groups in the corpus.

Researching The Impact Of Cal Poly Classes On Computing Students Perceptions Of Computer Ethics And Social Responsibility, Annie Joss

Computer Engineering

The importance and impact of socio-technical systems are playing an increasing role in the education of computing students. Discussion of ethics and social responsibility has always been a tenant of computer science education; however, research has shown engineering and computer science students lose focus on these values over their engineering education. Cal Poly computing departments have taken steps to emphasize social responsibility and ethics through required and suggested courses. This project focuses on examining the values and beliefs of Cal Poly computing students, who were surveyed over Winter and Spring Quarters in 2022. This project is inspired by Dr. Cech’s …

Developing A Miniature Smart Boat For Marine Research, Michael Isaac Eirinberg

Computer Engineering

This project examines the development of a smart boat which could serve as a possible marine research apparatus. The smart boat consists of a miniature vessel containing a low-cost microcontroller to live stream a camera feed, GPS telemetry, and compass data through its own WiFi access point. The smart boat also has the potential for autonomous navigation. My project captivated the interest of several members of California Polytechnic State University, San Luis Obispo’s (Cal Poly SLO) Marine Science Department faculty, who proposed a variety of fascinating and valuable smart boat applications.

Happiness And Policy Implications: A Sociological View, Sarah M. Kahl

Dissertations, Theses, and Capstone Projects

The World Happiness Report is released every year, ranking each country by who is “happier” and explaining the variables and data they have used. This project attempts to build from that base and create a machine learning algorithm that can predict if a country will be in a “happy” or “could be happier” category. Findings show that taking a broader scope of variables can better help predict happiness. Policy implications are discussed in using both big data and considering social indicators to make better and lasting policies.

The Db Community Vis-À-Vis Environmental, Health, And Societal Grand Challenges: Innovation Engine, Plumber, Or Bystander?, Anastasia Ailamaki, Leilani Battle, Johannes Gehrke, Masaru Kitsuregawa, David Maier, Christopher Re, Meihui Zhang, Magdalena Balazinska

Computer Science Faculty Publications and Presentations

This panel considers the role of the database research community in addressing humanity's greatest challenges. Are we an innovation engine, tool providers, or are we standing on the side while other research communities take the lead?