Computer Engineering Commons^™

When Is An Owl More Than An Owl? An Interaction Analysis Of A Computer Science Co-Design Conversation On Cultural Relevance, Stephanie M. Robillard, Victor R. Lee, Jody Clarke-Midura, Jessica F. Shumway

Publications

The learning sciences community is currently exploring new ways to enact productive and equitable co-design research-practice partnerships that are sensitive to all the concerns and needs of stakeholders. The paper contributes to that still-growing literature through an interaction analysis of a co-design discussion involving school district partners that unfolded about cultural relevance and sensitivity in relation to the use of a specific image in an elementary school coding lesson. The episode involved looking moment-by-moment at how district educators recognized and acknowledged that a specific design decision could be harmful for a minoritized population of students enrolled in the district. However, …

Design And Control Of A Tunable-Stiffness Coiled-Spring Actuator, Shivangi Misra, Mason Mitchell, Rongqian Chen, Cynthia Sung

Lab Papers (GRASP)

We propose a novel design for a lightweight and compact tunable stiffness actuator capable of stiffness changes up to 20x. The design is based on the concept of a coiled spring, where changes in the number of layers in the spring change the bulk stiffness in a near-linear fashion. We present an elastica nested rings model for the deformation of the proposed actuator and empirically verify that the designed stiffness-changing spring abides by this model. Using the resulting model, we design a physical prototype of the tunable-stiffness coiled-spring actuator and discuss the effect of design choices on the resulting achievable …

A Novel Graph Neural Network-Based Framework For Automatic Modulation Classification In Mobile Environments, Pejman Ghasemzadeh

Theses, Dissertations, and Student Research from Electrical & Computer Engineering

Automatic modulation classification (AMC) refers to a signal processing procedure through which the modulation type and order of an observed signal are identified without any prior information about the communications setup. AMC has been recognized as one of the essential measures in various communications research fields such as intelligent modem design, spectrum sensing and management, and threat detection. The research literature in AMC is limited to accounting only for the noise that affects the received signal, which makes their models applicable for stationary environments. However, a more practical and real-world application of AMC can be found in mobile environments where …

Targeted Adversarial Attacks Against Neural Network Trajectory Predictors, Kaiyuan Tan

McKelvey School of Engineering Theses & Dissertations

Trajectory prediction is an integral component of modern autonomous systems as it allows for envisioning future intentions of nearby moving agents. Due to the lack of other agents' dynamics and control policies, deep neural network (DNN) models are often employed for trajectory forecasting tasks. Although there exists an extensive literature on improving the accuracy of these models, there is a very limited number of works studying their robustness against adversarially crafted input trajectories. To bridge this gap, in this paper, we propose a targeted adversarial attack against DNN models for trajectory forecasting tasks. We call the proposed attack TA4TP for …

Adversarial Patch Attacks On Deep Reinforcement Learning Algorithms, Peizhen Tong

McKelvey School of Engineering Theses & Dissertations

Adversarial patch attack has demonstrated that it can cause the misclassification of deep neural networks to the target label when the size of patch is relatively small to the size of input image; however, the effectiveness of adversarial patch attack has never been experimented on deep reinforcement learning algorithms. We design algorithms to generate adversarial patches to attack two types of deep reinforcement learning algorithms, including deep Q-networks (DQN) and proximal policy optimization (PPO). Our algorithms of generating adversarial patch consist of two parts: choosing attack position and training adversarial patch on that position. Under the same bound of total …

Is Realt Reality? Investigating The Use Of Blockchain Technology And Tokenization In Real Estate Transactions, Caroline Moriarty

Minnesota Journal of Law, Science & Technology

No abstract provided.

Osmosis: Asymmetries In Telematic Performance, Matthias Ziegler

Journal of Network Music and Arts

For the 2022 edition of the NowNet Arts Conference on October 31st, the telematic research team of the Zurich University of the Arts (ZHdK) presented a project entitled OSMOSIS. OSMOSIS was a concert event, highlighting how telematically connected spaces always confront each other asymmetrically. Their telematic connection is part of a continuous space in which information is fragmented and selectively reassembled. Like the biochemical process of osmosis in which molecules diffuse across a cell membrane from one level of concentration to another, in telematic connections certain elements such as sound, physicality, movement, and empathy are diffused across spaces, each being …

Synthesis: Works Of Sarah Weaver And Collaborations (2020-2022), Sarah Weaver

Journal of Network Music and Arts

Synthesis Series is a set of contemplative contemporary network arts works for solo, chamber, and large ensemble performance. The works are my compositions and collaborations from the years 2020 to 2022. The concept of synthesis is conceived as an activation of synchrony. Synthesis Series follows my prior works in Synchrony Series and Source Series as sequences of compositions since 1998 proliferating into a networked system of artistic realization. In Synchrony Series I defined synchrony as the perceptual alignment of distributed time and space components. Synthesis builds on this to activate the alignment as a networked state of composite resultants, networked …

Distributed Networks Of Listening And Sounding: 20 Years Of Telematic Musicking, Doug Van Nort

Journal of Network Music and Arts

This paper traces a twenty-year arc of my performance and compositional practice in the medium of telematic music, focusing on a distinct approach to fostering interdependence and emergence through the integration of listening strategies, electroacoustic improvisation, pre-composed structures, blended real/virtual acoustics, networked mutual-influence, shared signal transformations, gesture-concepts and machine agencies. Communities of collaboration and exchange over this time period are discussed, which span both pre- and post-pandemic approaches to the medium that range from metaphors of immersion and dispersion to diffraction.

An Overview Of Immersive Virtual Reality Music Experiences In Online Platforms, Ben Loveridge

Journal of Network Music and Arts

As the field of Virtual Reality (VR) continues to mature, so too does the potential for creative and immersive musical experiences in the medium. However, of the thousands of applications now available across the major VR platforms, only a small number of titles focus on the ability to create or explore musical content. This article outlines the current state of music games, experiences, and creative applications across the current VR ecosystem. Firstly, it surveys the quantity of commercial titles currently available across the major VR platforms with a music-related focus. Secondly, the article classifies music applications into the following subcategories: …

Musical Time In Network Interaction: The Case Of Unfinished Line, Silvio Ferraz, William Teixeira

Journal of Network Music and Arts

Considering recent world events, art and music could not be unmoved by the dramatic turn of directions in both the way people relate and the place of technology in their lives. An ongoing project of both the authors in writing a new piece for cello and Disklavier operated by interactions in real-time gave place to a new kind of composition, mixing written music to improvisation and replacing real-time for something we are calling remote time. This paper presents such walking of resilience, first reviewing some relevant points of view about musical interaction in real-time and the importance of synchrony for …

The Entanglement: Volumetric Music Performances In A Virtual Metaverse Environment, Damian Dziwis, Henrik Von Coler

Journal of Network Music and Arts

Telematic music performances are an established performance practice in contemporary music. Performing music pieces with geographically distributed musicians is both a technological challenge and an artistic one. These challenges and the resulting possibilities can lead to innovative aesthetic realizations. This paper presents the implementation and realization of “The Entanglement,” a telematic concert performance in a metaverse environment. The system is realized using web-based frameworks to implement a platform-independent online multi-user environment with volumetric, three- dimensional, streaming of audio and video. This allows live performance of this improvisation piece based on an algorithmic quantum computer composition within a freely explorational virtual …

Adventures In [A]Synchrony: Tools And Strategies For The Network Arts-Curious Music Educator, Seth Adams

Journal of Network Music and Arts

Networked Music Performance (NMP) is ensemble music mediated by a network such as the internet. NMP can be usefully divided into asynchronous and synchronous formats. Prototypical examples of the asynchronous format familiar to music educators are Eric Whitacre’s virtual choirs that began in 2009. A decade later, the virtual ensemble format exploded in popularity due to the COVID-19 pandemic. Although the format does not allow participants to interact with one another, virtual ensembles nonetheless provide ample opportunities for both musical and nonmusical benefits. Synchronous NMP is, by comparison, little known and rarely practiced by music educators. However, both types of …

Editorial, Sarah Weaver

Journal of Network Music and Arts

No abstract provided.

Sensor Module Network For Monitoring Trace Gases In The International Space Station, Aaron Beck, Drake Provost, Christopher English, Kamrin Gustave

Honors Capstones

The Jet Propulsion Laboratory (JPL) of the National Aeronautics and Space Administration (NASA) aims to develop a sensor network for the International Space Station (ISS) to ensure a comprehensive understanding of air quality within the station. The accumulation of carbon dioxide (CO­­­­­₂) can lead to cognitive impairment, headaches, and potentially dangerous situations at high concentrations. Monitoring air content at the ISS is critical to maintaining a healthy environment for crew onboard. Exposure to harmful gases causes negative side effects that make crew sick, which may interfere with their responsibilities. CO₂ is a gas that should be monitored …

Unobtrusive Data Collection In Clinical Settings For Advanced Patient Monitoring And Machine Learning, Walker Arce

Theses, Dissertations, and Student Research from Electrical & Computer Engineering

When applying machine learning to clinical practice, a major hurdle that will be encountered is the lack of available data. While the data collected in clinical therapies is suitable for the types of analysis that are needed to measure and track clinical outcomes, it may not be suitable for other types of analysis. For instance, video data may have poor alignment with behavioral data, making it impossible to extract the videos frames that directly correlate with the observed behavior. Alternatively, clinicians may be exploring new data modalities, such as physiological signal collection, to research methods of improving clinical outcomes that …

Lignin Copolymer Property Prediction Using Machine Learning, Collin Larsen

Chemical Engineering Undergraduate Honors Theses

Lignin, an abundant biopolymer, is a waste byproduct of the paper and pulp industry. Despite its renewable nature and potential applicability in various products, such as plastics and composites, the development of lignin-based materials has been impeded by the cumbersome, Edisonian process of trial and error. This research proposes a novel approach to forecasting the properties of lignin-based copolymers by utilizing a recurrent neural network (RNN) based on the Keras models previously created by Tao et al. Example units of modified lignin were synthesized via esterification and amination functional group modifications. To increase the efficiency and accuracy of the prediction …

Probabilistic Verification For Modular Network-On-Chip Systems, Jonah W. Boe

All Graduate Theses and Dissertations

Modeling physical systems with formal analysis tools can help in the design of more fault-proof systems, by helping to determine if unpredictable or unwanted behavior may occur. Probabilistic verification further advances such processes, by providing quantitative information about the system. More complex systems can especially benefit from formal modeling and verification, as testing the physical system in every possible condition manually, can be extremely complex, and often impossible.

There is a growing interest in the application of Network-on-Chip (NoC) systems. NoCs can help simplify communication between the subsystems of many technologies, including the ever more complex multicore processors being produced. …

Source Code Plagiarism Detection Using Jplag & Stack Overflow Data, Sudheer Yetthapu

Masters Theses & Specialist Projects

Advancements in computer technology and internet services have led to the availability of vast amounts of information like videos, articles, research papers, and code samples. Free online information will increase the possibility of plagiarism and collusion among students. People can commit plagiarism in both text and code [1], as tools used to detect plagiarism between texts and between codes are distinct. Traditionally plagiarism in code is detected using manual inspection, which is a tedious process and misses to compare code from previous submissions and external sources. To overcome this issue, systems that can automatically detect plagiarism in code were developed …

Fuel Prediction: Determining The Desirable Stops For The Cheapest Road Trips, Maxx Smith

Computer Science and Computer Engineering Undergraduate Honors Theses

Current technology has given rise to many advanced route-planning applications that are available for use by the general public. Gone are the days of preparing for road trips by looking at a paper map for hours on end trying to determine the correct exits or calculate the distance to be traveled. However, with the use of modern technology, there is a certain aspect of forward-thinking that is now lost with planning a road trip. One of the biggest constraints that often gets left on the backburner is deciding when and where to stop to refuel the car. This report is …