Physical Sciences and Mathematics Commons^™

More Wifi For Everyone: Increasing Spectral Efficiency In Wifi6 Networks Using A Distributed Obss/Pd Mechanism, Ali̇ Karakoç, Hüseyi̇n Bi̇rkan Yilmaz, Mehmet Şükrü Kuran

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we propose a distributed algorithm that determines effective Overlapping Basic Service Set/Preamble Detection (OBSS/PD) threshold levels in each WiFi6 device to maximize the total throughput by increasing the spectral efficiency. Within WiFi6 standard, OBSS/PD mechanism is introduced to increase the overall efficiency of WiFi networks by tuning the receiver sensitivity as well as the transmission power. In a nutshell, the proposed algorithm, RACEBOT, tunes the hearing (i.e. reception) and speaking (i.e. transmission) parameters of each WiFi device individually for the betterment of the WiFi experience of all WiFi networks in a neighborhood. WiFi experience is not only …

Internet Programming, Kwame A. Baffour

Open Educational Resources

CSC 31800 – Internet Programming

The design and implementation of websites from a Human-Computer Interaction point of view. Covers client-side technologies such as HTML, CSS and JavaScript and server-side technologies including Node.js and relational databases. Responsiveness, inclusion and accessibility by persons with mobility and vision impairment is necessary and must be addressed in the final project.

Minions Fitness Tracker, Mohammad Hasibur Rahman

2023 MathWorks Fitness Tracker Challenge-Archive

I made a fitness tracker that counts the steps of user using their mobile device. I made this tracker using MATLAB sensor and added the sensor path with the mobile device, the tracker would count the number of steps taken by finding peaks in acceleration data.

Student Perspectives Of Sustainable Transportation Use On A College Campus, Brynn Fuelberth

Department of Environmental Studies: Undergraduate Student Theses

As climate change grows in relevance in society, attention has often been turned to large universities to look at what solutions can help minimize the impacts contributing to the devastation. Sustainable transportation is an alternative that can help combat these issues. This study specifically focuses on what sustainable transportation looks like at the University of Nebraska-Lincoln (UNL), and what barriers and motivations are present in the undergraduate students’ eyes. This was investigated through an open-ended qualitative survey administered to the undergraduate population of the UNL. This study asks how students make their mode decisions in relation to sustainable transportation methods, …

Spot1328 Meira Spit, Robert C. Mahon, Elizabeth J. Trower, Benjamin P. Smith, Tyler A. Lincoln, Juliana Olsen-Valdez, John S. Magyar, Cedric J. Hagen

2D Wave Spectral Data, South Arm, Great Salt Lake, Utah

Data in this folder are produced by a SoFarOcean Spotter wave buoy deployed along the south arm of the Great Salt Lake, near Antelope Island State Park from the period of July 13, 2021 through June 28, 2022, in relatively shallow water, approximately 1.6m.

IMPORTANT NOTE: Water depths for #1328 (Miera Spit) started at ~1.7 m, but dropped rapidly to 0.9 m on July 15, 2021 and dropped further to ~0.4 m on August 17, 2021. The timing of these rapid water depth changes matches the timing of buoy location changes when the anchor was dragged inshore by waves. When …

Spot1328 Meira Spit Derived Data, Robert C. Mahon, Elizabeth J. Trower, Benjamin P. Smith, Tyler A. Lincoln, Juliana Olsen-Valdez, John S. Magyar, Cedric J. Hagen

2D Wave Spectral Data, South Arm, Great Salt Lake, Utah

Data in this folder are produced by a SoFarOcean Spotter wave buoy deployed along the south arm of the Great Salt Lake, near Antelope Island State Park from the period of July 13, 2021 through June 28, 2022, in relatively shallow water, approximately 1.6m.

IMPORTANT NOTE: Water depths for #1328 (Miera Spit) started at ~1.7 m, but dropped rapidly to 0.9 m on July 15, 2021 and dropped further to ~0.4 m on August 17, 2021. The timing of these rapid water depth changes matches the timing of buoy location changes when the anchor was dragged inshore by waves. When …

Spot1356 Black Rock, Robert C. Mahon, Elizabeth J. Trower, Benjamin P. Smith, Tyler A. Lincoln, Juliana Olsen-Valdez, John S. Magyar, Cedric J. Hagen

2D Wave Spectral Data, South Arm, Great Salt Lake, Utah

Data in this folder are produced by a SoFarOcean Spotter wave buoy deployed along the south arm of the Great Salt Lake, near Antelope Island State Park from the period of July 13, 2021 through June 28, 2022, in relatively shallow water, approximately 1.6m.

Spot1356 Black Rock Derived Data, Robert C. Mahon, Elizabeth J. Trower, Benjamin P. Smith, Tyler A. Lincoln, Juliana Olsen-Valdez, John S. Magyar, Cedric J. Hagen

2D Wave Spectral Data, South Arm, Great Salt Lake, Utah

Data in this folder are produced by a SoFarOcean Spotter wave buoy deployed along the south arm of the Great Salt Lake, near Antelope Island State Park from the period of July 13, 2021 through June 28, 2022, in relatively shallow water, approximately 1.6m.

The Hilbert Sequence And Its Associated Jacobi Matrix, Caleb Beckler

Honors Theses

In this project, we investigate positive definite sequences and their associated Jacobi matrices in Hilbert space. We set out to determine the Jacobi matrix associated to the Hilbert sequence by methods described in Akhiezer’s book The Classical Moment Problem. Using methods in Teschl’s book Jacobi Operators and Completely Integrable Nonlinear Lattice, we determine the essential spectrum of the corresponding Jacobi matrix.

Xylitol As A Phase Change Material: Exploring The Replacement Of Erythritol By Xylitol As A Phase Change Material, Elsa C. Micklin

Physics

To circumvent the cost and environmental damage associated with batteries, phase change materials have been employed in solar cookpots to enable cooking in unfavorable weather conditions. Researchers at Cal Poly have traditionally employed the sugar alcohol erythritol as a PCM due to its high latent heat and a fusion point above the boiling point of water, but have discovered issues with the polyol’s degradation over extended periods of cycling. This paper explores the viability of erythritol’s sister-compound xylitol as a PCM in insulated solar-electric cookers, or ISECs. An ISEC was constructed with a xylitol PCM, and the data collected from …

Repytah: An Open-Source Python Package For Building Aligned Hierarchies For Sequential Data, Chenhui Jia, Lizette Carpenter, Thu Tran, Amanda Y. Liu, Sasha Yeutseyva, Mariun Tapal, Yingke Wang, Zoie Kexin Zhou, Jordan Moody, Denise Nava, Eleanor Donaher, Lillian Yusha Jiang, Ben Bruncati, Katherine M. Kinnaird

Computer Science: Faculty Publications

We introduce repytah, a Python package that constructs the aligned hierarchies representation that contains all possible structure-based hierarchical decompositions for a finite length piece of sequential data aligned on a common time axis. In particular, this representation–introduced by Kinnaird (2016) with music-based data (like musical recordings or scores) as the primary motivation–is intended for sequential data where repetitions have particular meaning (such as a verse, chorus, motif, or theme). Although the original motivation for the aligned hierarchies representation was finding structure for music-based data streams, there is nothing inherent in the construction of these representations that limits repytah to only …

Reinforced Adaptation Network For Partial Domain Adaptation, Keyu Wu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li

Research Collection School Of Computing and Information Systems

Domain adaptation enables generalized learning in new environments by transferring knowledge from label-rich source domains to label-scarce target domains. As a more realistic extension, partial domain adaptation (PDA) relaxes the assumption of fully shared label space, and instead deals with the scenario where the target label space is a subset of the source label space. In this paper, we propose a Reinforced Adaptation Network (RAN) to address the challenging PDA problem. Specifically, a deep reinforcement learning model is proposed to learn source data selection policies. Meanwhile, a domain adaptation model is presented to simultaneously determine rewards and learn domain-invariant feature …

Msrl-Net: A Multi-Level Semantic Relation-Enhanced Learning Network For Aspect-Based Sentiment Analysis, Zhenda Hu, Zhaoxia Wang, Yinglin Wang, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Aspect-based sentiment analysis (ABSA) aims to analyze the sentiment polarity of a given text towards several specific aspects. For implementing the ABSA, one way is to convert the original problem into a sentence semantic matching task, using pre-trained language models, such as BERT. However, for such a task, the intra- and inter-semantic relations among input sentence pairs are often not considered. Specifically, the semantic information and guidance of relations revealed in the labels, such as positive, negative and neutral, have not been completely exploited. To address this issue, we introduce a self-supervised sentence pair relation classification task and propose a …

Automating Arduino Programming: From Hardware Setups To Sample Source Code Generation, Imam Nur Bani Yusuf, Diyanah Binte Abdul Jamal, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

An embedded system is a system consisting of software code, controller hardware, and I/O (Input/Output) hardware that performs a specific task. Developing an embedded system presents several challenges. First, the development often involves configuring hardware that requires domain-specific knowledge. Second, the library for the hardware may have API usage patterns that must be followed. To overcome such challenges, we propose a framework called ArduinoProg towards the automatic generation of Arduino applications. ArduinoProg takes a natural language query as input and outputs the configuration and API usage pattern for the hardware described in the query. Motivated by our findings on the …

Niche: A Curated Dataset Of Engineered Machine Learning Projects In Python, Ratnadira Widyasari, Zhou Yang, Ferdian Thung, Sheng Qin Sim, Fiona Wee, Camellia Lok, Jack Phan, Haodi Qi, Constance Tan, David Lo, David Lo

Research Collection School Of Computing and Information Systems

Machine learning (ML) has gained much attention and has been incorporated into our daily lives. While there are numerous publicly available ML projects on open source platforms such as GitHub, there have been limited attempts in filtering those projects to curate ML projects of high quality. The limited availability of such a high-quality dataset poses an obstacle to understanding ML projects. To help clear this obstacle, we present NICHE, a manually labelled dataset consisting of 572 ML projects. Based on the evidence of good software engineering practices, we label 441 of these projects as engineered and 131 as non-engineered. This …

Trustworthy And Synergistic Artificial Intelligence For Software Engineering: Vision And Roadmaps, David Lo

Research Collection School Of Computing and Information Systems

For decades, much software engineering research has been dedicated to devising automated solutions aimed at enhancing developer productivity and elevating software quality. The past two decades have witnessed an unparalleled surge in the development of intelligent solutions tailored for software engineering tasks. This momentum established the Artificial Intelligence for Software Engineering (AI4SE) area, which has swiftly become one of the most active and popular areas within the software engiueering field. This Future of Software Engineering (FoSE) paper navigates through several focal points. It commences with a succinct introduction and history of AI4SE. Thereafter, it underscores the core challenges inherent to …

What's Behind Tight Deadlines? Business Causes Of Technical Debt, Rodrigo Rebouças De Almeida, Christoph Treude, Uirá Kulesza

Research Collection School Of Computing and Information Systems

What are the business causes behind tight deadlines? What drives the prioritization of features that pushes quality matters to the back burner? We conducted a survey with 71 experienced practitioners and did a thematic analysis of the openended answers to the question: “Could you give examples of how business may contribute to technical debt?” Business-related causes were organized into two categories: pure-business and business/IT gap, and they were related to ‘tight deadlines’ and ‘features over quality’, the most frequently cited management reasons for technical debt. We contribute a cause-effect model which relates the various business causes of tight deadlines and …

Towards Understanding The Open Source Interest In Gender-Related Github Projects, Rita Garcia, Christoph Treude, Wendy La

Research Collection School Of Computing and Information Systems

The open-source community uses the GitHub platform to exchange and share software applications and services of interest. This paper aims to identify the open-source community’s interest in gender-related projects on GitHub. Our findings create research opportunities and identify resources by the open-source community that promote diversity, equity, and inclusion. We use data mining to identify GitHub projects that focus on gender-related topics. We apply quantitative and qualitative methodologies to examine the projects’ attributes and to classify them within a gender social structure and a gender bias taxonomy. We aim to understand the open-source community’s efforts and interests in gender topics …

Overcoming Challenges In Devops Education Through Teaching Methods, Samuel Ferino, Marcelo Fernandes, Elder Cirilo, Lucas Agnez, Bruno Batista, Uirá Kulesza, Eduardo Aranha, Christoph Treude

Research Collection School Of Computing and Information Systems

DevOps is a set of practices that deals with coordination between development and operation teams and ensures rapid and reliable new software releases that are essential in industry. DevOps education assumes the vital task of preparing new professionals in these practices using appropriate teaching methods. However, there are insufficient studies investigating teaching methods in DevOps. We performed an analysis based on interviews to identify teaching methods and their relationship with DevOps educational challenges. Our findings show that project-based learning and collaborative learning are emerging as the most relevant teaching methods.

Win: Weight-Decay-Integrated Nesterov Acceleration For Adaptive Gradient Algorithms, Pan Zhou, Xingyu Xie, Shuicheng Yan

Research Collection School Of Computing and Information Systems

Training deep networks on large-scale datasets is computationally challenging. In this work, we explore the problem of “how to accelerate adaptive gradient algorithms in a general manner”, and aim to provide practical efficiency-boosting insights. To this end, we propose an effective and general Weight-decay-Integrated Nesterov acceleration (Win) to accelerate adaptive algorithms. Taking AdamW and Adam as examples, we minimize a dynamical loss per iteration which combines the vanilla training loss and a dynamic regularizer inspired by proximal point method (PPM) to improve the convexity of the problem. To introduce Nesterov-alike-acceleration into AdamW and Adam, we respectively use the first- and …

Do Firms Respond To Peer Disclosures? Evidence From Disclosures Of Clinical Trial Results, Vedran Capkun, Yun Lou, Clemens A. Otto, Yin Wang

Research Collection School Of Accountancy

Using data on the registration of clinical trials and the disclosure of trial results, we examine how firms respond to peer disclosures. We find that firms are less likely to disclose their own trial results if the results of a larger number of closely related trials are disclosed by their peers. This relation is stronger if the firms face higher competition (as measured by the number of competing trials). It is weaker if the firms are further along in their research than the peers (as measured by the trials’ phase) and if the peers’ disclosures convey more negative news (as …

Re: Approval For: Berkeley Pit And Discharge Pilot Project, Quarterly Pilot Project Report, Fourth Quarter 2022, Dated March 6, 2023, Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Sim-To-Real Reinforcement Learning Framework For Autonomous Aerial Leaf Sampling, Ashraful Islam

School of Computing: Dissertations, Theses, and Student Research

Using unmanned aerial systems (UAS) for leaf sampling is contributing to a better understanding of the influence of climate change on plant species, and the dynamics of forest ecology by studying hard-to-reach tree canopies. Currently, multiple skilled operators are required for UAS maneuvering and using the leaf sampling tool. This often limits sampling to only the canopy top or periphery. Sim-to-real reinforcement learning (RL) can be leveraged to tackle challenges in the autonomous operation of aerial leaf sampling in the changing environment of a tree canopy. However, trans- ferring an RL controller that is learned in simulation to real UAS …

Spatiotemporal Activity Patterns Of Red Foxes And Coyotes In Wilderness Park, Lincoln, Nebraska, Adam Carlson

Department of Environmental Studies: Undergraduate Student Theses

Wildlife species that share a landscape may vary their use of time, space, and resources, thereby enabling sympatry between species. Interspecific relationships among sympatric canids are often inferred through temporal and spatial activity patterns. Body size is an important influence on interspecific relationships, as it affects competition, access to prey, resources, and vulnerability to predation. Coyotes and red foxes are canids that differ in body size and occur sympatrically in Wilderness Park, which suggests that they interact and could imply competition. In and around Lincoln, the number of coyote sightings has increased in recent years, Although the ecology of both …

An Analysis Of Factors Affecting Municipal Biochar Implementation In Voluntary Carbon Markets, Jadon Basilevac

Department of Environmental Studies: Undergraduate Student Theses

This paper serves as a review article and incorporates elements of survey research in order to identify and address factors inhibiting biochar availability from municipal sequestration projects in voluntary carbon marketplaces. In determining which barriers exist, and devising strategies for solving them, this study can help to expand the role of biochar in mitigating emissions contributing to climate change, and encourage project developers to support municipal biochar projects that provide various co-benefits. To do so, this study addresses how the pyrolysis production process might be made more efficient, economically viable, and see improved public image, the various urban sectors to …

Observing Wildlife In Different Urban Environments, Colleen Ballinger

Department of Environmental Studies: Undergraduate Student Theses

My project was about comparing ecological communities in different locations. As many of us Natural Resource studiers know, urbanization has become a prime factor in ecosystems and landscapes of the modern world. Numerous studies from the Urban Ecology field have shown us that urbanization is on an unstable trajectory for the future (Wu 2014). My research will be to find out where and what species of wildlife live in varying levels of urbanization. This topic is important to me because of how impactful habitat loss is to wildlife. Habitat loss is the number one cause of wildlife death here in …

State Of Utah Et Al. V Walsh Et Al., Ethan Halman Gonzalez

Department of Environmental Studies: Undergraduate Student Theses

To expand upon that, the State of Utah et al. wants to show the Department of Labor’s “Prudence and Loyalty in Selecting Plan Investments and Exercising Shareholder Rights” Rule proposed in December 2022, is arbitrary and capricious under the Administrative Procedure Act (APA) and Employment Retirement Income Security Act of 1974 (ERISA). The suit argues that the Department of Labor (DOL) oversteps the APA—as under the APA, the Court “shall… hold unlawful and set aside agency action, findings, and conclusions” that are “in excess of statutory jurisdiction, authority, or limitations,” or “arbitrary capricious, an abuse of discretion, or otherwise not …

Solar Energy Implementation In Rural Communities, Corie Gleason

Department of Environmental Studies: Undergraduate Student Theses

This thematic analysis was completed in Nebraska, as it looked at how the state’s rural communities react to solar energy projects. Due to their strong sense of social and community identity, members of rural communities are often resistant to change and may have difficulty supporting new projects such as solar farms in their communities. However, these rural communities provide the necessary space for solar farms while still being in close proximity to the users of the energy that the farms produce. This study aims to explore what factors have made past solar projects successful and the ways in which those …

Analyzing The Effect Of Guided Nature Walks On Human Behavior, Jake Duffy

Department of Environmental Studies: Undergraduate Student Theses

Several studies have identified a gap in the understanding of what guided nature walks does for the individual person, and the extent to which guided nature walks and interpretive signs improves individual pro-environmental behavior and attitudes. This study surveyed over 300 people on their reactions to certain types of signs and the influence that those signs had on the individuals’ desire to return outdoors. Our results showed an overwhelmingly positive reaction to signs with ecological or systems-based information that could be utilized on their walk, while signs that taught an environmental or historical feature of that area were not appreciated …

Perception Of Nature Based On Childhood Experiences, Kaitlyn Richards

Department of Environmental Studies: Undergraduate Student Theses

It is essential that humans view themselves as a part of nature rather than viewing themselves as separate from it. Especially with issues on the rise such as climate change, habitat destruction, and the degradation of natural resources. Childhood experiences with nature are critical in developing pro-environmental behaviors (Duzenli, 2019). Pro-environmental behaviors are defined as attitudes and actions that focus on the improvement of environmental conditions, while also being vigilant of ways to reduce negative impacts on the environment (Tian, 2022).