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No full textMy most recent body of work is a series of paintings responding to the overturn of Roe v. Wade through metaphor. These still images create a space between myself and my experience, letting me comprehend the moment more objectively- watching myself as a voyeur. I frequently return to the impulse to explore myself on video with objects heavy with symbolism, intrigued by the moment I decide on which frame to pause on and stop time. The still becomes a container, objectifying the intimacy of my ideas. This zooming in and out allows me to produce a work greater than its parts, simultaneously considering the personal and the collective
Acute Fluff
No full textI have taken the sight of my cat for granted for many years. This portrait of Fluffy was created to closely study the details of her face so that I would not forget them when separated from her. It was made by layering marks of hard, medium and soft compressed charcoal sticks and charcoal pencils. A variety of erasing and blending tools were also used to soften or sharpen edges. This piece was a challenge to make as charcoal can be a very messy medium. However, this was fitting for the goal to commit her face to memory. Carefully planning out my approach with charcoal has imprinted her likeness into my mind for what I can imagine will be a long time
Out from the Weirdish Wild
Get PDFSteeped in exquisite imagery and allusions inspired by Greek mythology and landscapes of the South, the poems in Out from the Weirdish Wild delve into the experiences of an Autistic woman, as well as other women from history and mythology. The collection discusses sexual violence, grief, weirdness, belonging, and clinical and colloquial language used within the Autistic community. Narrative and lyric poems are represented in a range of structures from formal to experimental (sonnet, terza rima, cento, contrapuntal, open form, concrete, free verse, etc), and the collection is primarily post-confessional
Dropped Objects Recognition in Offshore Operations Based on Computer Vision and Artificial Intelligence
Get PDFWe are more interested in recovering and salvaging containers which may be loaded with either valuable or harmful substances. Therefore, we designed various container models to account for different loading conditions and then exported them to a 3D printer. Six small container models were dropped into the trailer pool at the University of New Orleans (UNO) as planned at angles of 0°, 45°, and 90°.
After collecting all the videos using a high-definition camera set outside the tank, we perform pre-processing tasks on the videos in preparation for model training. The two-phase angle classification method uses a pretrained ResNet50 model trained on ImageNet as a feature extractor to generate latent features to train a gated recurrent unit (GRU) model to classify the entry angle of dropped objects.
Furthermore, the output of the recognition phase, including the shape of the dropped object and the initial drop angle, is used as input to another in-house tool, the Dropped Object Simulator (DROBS), which was developed in MATLAB using simulate the trajectory and determine the final landing position
Seagrass Epibiont Biodiversity in the Northern Gulf of Mexico
Get PDFEpibionts on seagrass leaves contribute substantially to productivity and trophic interactions in seagrass ecosystems. Differences in epibiont assemblages and factors that contribute to epibiont diversity have been little studied on the seagrass Halodule wrightii in the northern Gulf of Mexico (nGoM). We used a metabarcoding approach to describe epibiont assemblages on H. wrightii leaves in four bays across the nGoM and to test whether epibiont assemblages differed spatially at local levels (within bays) or regional levels (from west to east). Furthermore, we tested if epibiont diversity was related to environmental conditions and/or seagrass productivity. Epibiont assemblages differed significantly between bays and between sites within bays. The diversity of non-diatom algal and animal epibionts was positively correlated with salinity and seagrass production. Our results show that each seagrass bed supported a relatively distinct assemblage of epibionts, which appear to be structured by both regional and local conditions
A Beginner’s Guide to Drag
No full textMy presentation is the study of gender as it pertains to performance and theatre. My presentation will go over the different facets of how gender contributes to a performance. It will begin with a brief overview of masculinity in theatre and transition into the art of gender as performance, more commonly known as drag. The overall findings of this research will be presented in the form of a live performance of an original drag number
Wavelet Compression as an Observational Operator in Data Assimilation Systems for Sea Surface Temperature
Get PDFThe ocean remains severely under-observed, in part due to its sheer size. Containing nearly billion of water with most of the subsurface being invisible because water is extremely difficult to penetrate using electromagnetic radiation, as is typically used by satellite measuring instruments. For this reason, most observations of the ocean have very low spatial-temporal coverage to get a broad capture of the ocean’s features. However, recent “dense but patchy” data have increased the availability of high-resolution – low spatial coverage observations. These novel data sets have motivated research into multi-scale data assimilation methods. Here, we demonstrate a new assimilation approach utilizing the wavelet transform that is multi-scale by nature but only requires a single analysis step; the latter being a significant advancement over current multi-scale approaches that almost universally require at least two analysis steps. To produce a proof-of-concept, we utilize only sea surface temperature (SST), as that observational source has strong spatial coverage and is high-resolution. The current standard when assimilating SST is to first perform super observations. The super-observation approach reduces a dense field to weighted averaged points that are far enough away from each other such that their readings are statistically uncorrelated. The process typically reduces an SST field to less than 10% of the original size, leading to only large-scale corrections of the ocean model. Our advancement instead uses the wavelet transform as an “observational operator”. The wavelet transform allows the SST innovation to occur in wavelet space, and wavelet thresholding allows us to retain all the spatial information in the SST field, down to scales that are not well represented by the horizontal resolution of the ocean model. An Observing System Simulation Experiment (OSSE) was used to test the validity of using wavelets in data assimilation. We find that the wavelet-based assimilation produces less root mean square (RMS) error with respect to depth than the more traditional super-observation approach. Additionally, we evaluated the spatial scales constrained by each assimilation approach. We find that over a 31-day cycling experiment, the wavelet-based approach constrains 65.50 versus the super-observation, a 14% gain in assimilation skill for the wavelet method. By constraining roughly 10 km more wavelength in the assimilation, the wavelet-based approach will now allow the representation of ocean features in the 76-65km range, which were previously not present from using super-observations. We expect this is due explicitly to the fact that the wavelet transform allows the assimilation to consider many more spatial scales than is possible using the super-observation approach
SPOT1356 Black Rock Derived Data
No full textData 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.https://scholarworks.uno.edu/salt_lake/1003/thumbnail.jp
