Human activity recognition is the task of identifying a person’s movement from sensors in a wearable device, such as a smartphone, smartwatch, or a medical-grade device. A great method for this task is machine learning, which is the study of algorithms that learn and improve on their own with the help of massive amounts of useful data. These classification models can accurately classify activities with the time-series data from accelerometers and gyroscopes. A significant way to improve the accuracy of these machine learning models is preprocessing the data, essentially augmenting data to make the identification of each activity, or class, easier for the model. <br/>On this topic, this paper explains the design of SigNorm, a new web application which lets users conveniently transform time-series data and view the effects of those transformations in a code-free, browser-based user interface. The second and final section explains my take on a human activity recognition problem, which involves comparing a preprocessed dataset to an un-augmented one, and comparing the differences in accuracy using a one-dimensional convolutional neural network to make classifications.

Speculative fiction requires massive amounts of worldbuilding in order to create realistic societies and cultures for the audience to understand. While there are many aspects of worldbuilding such as economics, religion, and politics that are highly focused on in the discussion of how to worldbuild, there are also elements of everyday society that are not discussed as thoroughly. One of these aspects is food. This includes both how food is produced in certain speculative fiction settings and how these different cultures interact with food items on a daily basis. In addition to the ways that food systems operate, this project looks into three major works of speculative fiction--Star Trek: The Next Generation, Battlestar Galactica, and the works of Tolkien--to analyze the ways that these pieces of fiction have or have not used food as a part of worldbuilding. Then, I use the research that I have done to demonstrate the ways in which the food system can be incorporated into a work of speculative fiction through the writing of my own creative piece, “Of Yoila and Yalia”. My research details the ways that speculative fiction tends to treat food as either a logistical issue or simply a differentiating cultural marker instead of a useful tool to build a culture and act as a foothold for readers as they access a world that is foreign to them. Through my research and the writing of “Of Yoila and Yalia”, I conclude that food is an important aspect of creating a society and a culture that is not only accessible to readers but is relatable and understandable. To overlook food is to disregard one of the most compelling elements of culture that people interact with on a daily basis and therefore miss much of what culture revolves around.

I spent the first half of my project researching Mexican cuisine, as well as the history of traditional recipes and how various ingredients became incorporated into the food of the Southwest region. The second half of my project was focused on creating a video to document my family's recipe for making tamales. I analyzed the recipe and its larger cultural and social implications which I presented with a PowerPoint.

Speculative fiction requires massive amounts of worldbuilding in order to create realistic societies and cultures for the audience to understand. While there are many aspects of worldbuilding such as economics, religion, and politics that are highly focused on in the discussion of how to worldbuild, there are also elements of everyday society that are not discussed as thoroughly. One of these aspects is food. This includes both how food is produced in certain speculative fiction settings and how these different cultures interact with food items on a daily basis. In addition to the ways that food systems operate, this project looks into three major works of speculative fiction--Star Trek: The Next Generation, Battlestar Galactica, and the works of Tolkien--to analyze the ways that these pieces of fiction have or have not used food as a part of worldbuilding. Then, I use the research that I have done to demonstrate the ways in which the food system can be incorporated into a work of speculative fiction through the writing of my own creative piece, “Of Yoila and Yalia”. My research details the ways that speculative fiction tends to treat food as either a logistical issue or simply a differentiating cultural marker instead of a useful tool to build a culture and act as a foothold for readers as they access a world that is foreign to them. Through my research and the writing of “Of Yoila and Yalia”, I conclude that food is an important aspect of creating a society and a culture that is not only accessible to readers but is relatable and understandable. To overlook food is to disregard one of the most compelling elements of culture that people interact with on a daily basis and therefore miss much of what culture revolves around.

I spent the first half of my project researching Mexican cuisine, as well as the history of traditional recipes and how various ingredients became incorporated into the food of the Southwest region. The second half of my project was focused on creating a video to document my family's recipe for making tamales. I analyzed the recipe and its larger cultural and social implications which I presented with a PowerPoint.

This paper is centered on the use of generative adversarial networks (GANs) to convert or generate RGB images from grayscale ones. The primary goal is to create sensible and colorful versions of a set of grayscale images by training a discriminator to recognize failed or generated images and training a generator to attempt to satisfy the discriminator. The network design is described in further detail below; however there are several potential issues that arise including the averaging of a color for certain images such that small details in an image are not assigned unique colors leading to a neutral blend. We attempt to mitigate this issue as much as possible.

This paper is centered on the use of generative adversarial networks (GANs) to convert or generate RGB images from grayscale ones. The primary goal is to create sensible and colorful versions of a set of grayscale images by training a discriminator to recognize failed or generated images and training a generator to attempt to satisfy the discriminator. The network design is described in further detail below; however there are several potential issues that arise including the averaging of a color for certain images such that small details in an image are not assigned unique colors leading to a neutral blend. We attempt to mitigate this issue as much as possible.