17179 research outputs found
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An empirical study on AI-powered edge computing architectures for real-time IoT applications
No full textEdge computing is indispensable for IoT applications, handling data from billions of devices and expected to surpass 41.6 billion installations by 2023. It facilitates swift decision-making at the device level. It conserves network bandwidth by processing data locally, making it suitable for resource-constrained or costly networks. Bolsters privacy and security by storing data locally, particularly crucial for applications that involves processing personal data.Computer Scienc
Red Maple
No full text“Red Maple” is a one act play about a family struggling through grief, the stages of which are personified in each family member. The younger daughter, Charlotte, shows denial as she is the one who has passed. The father, Dakota, is anger; he struggles through upholding a masculine appearance and gets overwhelmed by his emotions, showing them through aggression. The mother, Renee, is bargaining; she blames herself for her family struggles and seeks forgiveness through personal sacrifice. The older sibling, Sidney, is despair; they show heightened emotions but manage not to lose themselves. Finally, the grandmother, Evelyn, is acceptance; she has been deceased for 5 years already and is Charlotte’s guide to the afterlife. The play revolves around the family’s life a few days after Charlotte’s passing. Charlotte is present as a ghost that the audience can see but the family cannot. A staple of the play is the red maple trees the family has planted: one that is 5 years old for Evelyn, and one that is freshly planted for Charlotte. By the end, the living family has come to a new understanding of each other, leading towards healing and coping.Englis
Designing Benchmark Suites of Irregular Programs
No full textWith the rise of social networks, search engines, recommender systems, and data science, efficiently processing large graphs has become crucial. The underlying irregular programs often exhibit input-dependent control flow and memory accesses, posing challenges in implementation, parallelization, and optimization. This dissertation explores the systematic design of benchmark suites for this important domain. I extracted key code patterns, styles, and hybridization techniques from existing graph codes, generalized them, and created thousands of meaningful parallel irregular codes based on them. The resulting suites contain two orders of magnitude more codes than preexisting suites and even more inputs. To handle these large numbers, I automated the generation and used this approach to create three benchmark suites: Indigo1 focuses on important code patterns, Indigo2 targets frequently used styles, and Indigo3 introduces hybrid parallelization strategies and deliberately planted software defects. Additionally, I developed the ECL Suite of validated HPC graph codes. The four suites facilitate performance evaluation, verification, and education, providing the community with a diverse range of irregular codes for extensive research. This dissertation not only offers insights into parallelization strategies but also enhances code verification methods, potentially saving debugging time and enhancing programmer efficiency. Moreover, it serves as an educational resource for students and developers, imparting knowledge on innovative parallelization techniques.Computer Scienc
Classification of Extragalactic X-Ray Sources Through the Use of a Machine Learning Pipeline
No full textAlthough many X-ray sources have been detected by the Chandra X-ray Observatory and the Hubble Space Telescope, a low percentage of these sources have actually been categorized due to the difficult nature of classifying X-ray sources by hand. Therefore, the purpose of this project is to create a machine learning pipeline that is capable of classifying extragalactic X-ray sources by using training data already identified from our own Milky Way galaxy. By creating a machine learning pipeline that utilizes a random forest classifier, we can make a comprehensive analysis of the population of different classes of X-ray sources in other galaxies. Understanding the X-ray population of galaxies is crucial to knowing more about how galaxies evolve. The extensive data collected by Hubble is crucial to this effort. In order to compensate for the fact that the HST does not cover the entire sky, near-infrared, infrared, and optical bands will be taken from 2MASS, WISE, and Pan-STARRS, respectively, and will be converted to appropriate Hubble magnitudes by calculating what magnitude an object will have in HST filters based on the 2MASS, WISE, and Pan-STARRS filters.Physic
Investigating the Effect of Technological Literacy on Implicit Association Test Scores
No full textThis exploratory study examines the relationship between technological literacy and differences in Implicit Association Test scores measures through the traditional keyboard method and an alternately developed mouse-tracked method. The objective of this exploratory study was to investigate whether technological literacy could function as a significant predictor of changes in IAT scores. Results of this study found that increased comfort with technology predicted a greater change in IAT scores between the two methods being tested, contrary to our hypotheses. This research contributes to the dynamic of technological literacy and cognitive associations, as well as the importance of increased research into implicit biases.Psycholog
Analyzing How Students Learn Differential Equations
No full textFor this project, we will analyze how to study how students learn differential equations. First, we will analyze what is generally taught in a differential equations course so we can establish the importance of what students are learning and give a sense of what they are learning. We will then establish what Bloom’s Taxonomy is and discuss it to illustrate that students progress through learning subject material. We then discuss factors affecting learning such as mindset, socioeconomic standing, and gender stereotypes. We then analyze how math classes have been historically taught to address these factors that affect learning.Mathematic
Exploration of Mycoremediation Candidate Screening: Uptake and Tolerance of Bismuth by Native Fungi
No full textHeavy metal (HM) pollutants are problematic in our increasingly industrialized world due to their toxicity in small concentrations and inability to decompose. While industrial methods of remediation are effective for large spills, chronic and widespread pollutant exposure is not efficiently remediated by such methods and they can be expensive and damaging to the ecosystem. Alternatively, bioremediation is effective at remediating HM pollution as microbes have diverse biochemistry. Microbes have an array of surface functional groups and extracellular enzymes capable of detoxifying or sequestering pollutants. Furthermore, bioremediation is inexpensive and eco-friendly, with the caveat that potential ecosystemic interactions should be considered with bioremediation candidates. Fungi have relatively diverse biochemistry, even compared to other microbes, making them uniquely effective in bioremediation, a process specifically known as mycoremediation. However, each mycoremediation candidate has different optimal growth conditions and reactivity to different pollutants, which makes it complicated to determine effective native mycoremediation candidates for pollutants of interest. Sadañoski et al. proposed a protocol whereby the pollutant tolerance, measured by growth rate differential, is used to screen for mycoremediation candidates. In this study, this principle was applied to HM pollution, utilizing bismuth due to its lower toxicity relative to other HM pollutants. Per the protocol of Sadañoski et al., growth rate was measured by determining the radial expansion both at the largest and smallest diameters, at various concentrations of bismuth. The preliminary data showed fungi had diminished growth rate when exposed to bismuth while experimental data showed general increased growth rate in experimental conditions. The bismuth uptake was determined using energy dispersive spectroscopy (EDS). The results demonstrated that all environmental fungi tested could grow in the presence of bismuth and there was evidence of uptake by the four fungi tested, especially in T. villosa, however there was not a significant correlation between bismuth tolerance and uptake. As a consequence, it does not appear that bismuth tolerance can be used to predict its uptake in native fungi although this method’s efficacy in screening for mycoremediation candidates warrants further investigation with other HMpollutants.Biolog
The Connection Between X-Ray Binaries and Star Clusters in the Andromeda Galaxy
No full textThe exploration of X-ray binaries (XRBs) and their relationship with star clusters is an important aspect of astrophysics, offering insights into the processes that govern stellar evolution and the dynamical interactions within star clusters. XRBs are fascinating astronomical systems where a star orbits around a compact object, typically a neutron star or black hole. The intense gravitational pull of the compact object leads to the accretion of material from the companion star, which due to friction heats up so much that it emits high-energy X-ray photons.
Previous studies have shown that most stars, including XRBs, form in star clusters. These densely populated regions are the birthplaces of countless stellar objects, playing a critical role in their early evolution. However, several processes, such as close gravitational interactions between stars (dynamical interactions) and the gradual loss of stars due to the cluster's gravitational field weakening (cluster evaporation), lead to stars leaving their birth clusters. This ejection can significantly influence the life cycle and characteristics of XRBs. Understanding these processes is crucial for comprehending the life history of XRBs and the evolutionary trajectory of their parent clusters.
The Andromeda Galaxy, the closest spiral to our own (The Milky Way) provides a unique and rich field for investigating these phenomena. Its proximity and similarity to the Milky Way make it an ideal candidate for studying the formation and evolution of XRBs for this project. Studying Andromeda allows us to view the galaxy from a distance whereas in the Milky Way we are on the plane and the extinction due to dust creates and issue in measurements. Furthermore, the availability of detailed observational data from the Panchromatic Hubble Andromeda Treasury (PHAT) and the Chandra X-ray Observatory presents an unprecedented opportunity to delve into these studies with greater precision and depth than ever before.
This study employs a systematic approach, focusing on the spatial distribution and properties of XRBs and their associated star clusters in the Andromeda Galaxy.Physic
A study of weight stigma, body appreciation, and disordered eating behaviors among promotores and community health workers in Texas
No full textWeight stigma, a form of discrimination, affects around 40% of the US population.
Previous research suggests that weight stigma is:
- negatively associated with body appreciation, an indicator of positive body image.
- positively associated with disordered eating behaviors.
Due to systemic inequities, racial and ethnic minority groups, including persons of Mexican heritage, may be more vulnerable to weight stigma.
Promotores and community health workers (CHWs) serve a dual role as healthcare provider and community member, particularly in Hispanic communities in Texas (TX).
A formative study of weight stigma among promotores and CHWs is important to developing systems level, destigmatizing community-engaged interventions in TX.Family and Consumer Science