Barrett, The Honors College Thesis/Creative Project Collection

This podcast considers the history of online courses in higher education and research into them, focusing on how well they serve a diverse student population. It considers how online learning developed, and how studies into the practices and effectiveness of online courses find inequality in academic outcomes and access. The podcast explores how research approaches bring to light these inequalities or fail to consider them. The future of online learning is also considered.

Claiming Impossible Bodies is a collection of poetry and collage exploring gender and sexuality through the lens of the vampire. For this project, I researched various representations of the vampires through folklore, classical and modern literature, film, and pop culture. The liminality of the vampire allows such figures to take different forms and identities, ranging from dark and grotesque creatures, such as the succubus or incubus from mythology, to modern sex-icons, like Edward Cullen from the Twilight Saga. Considering this wide range of performances by vampiric figures throughout history, the poems in this manuscript seek to deconstruct the binaries that vampires live between and expose the liminality in social norms that attempt to define our identities and shape our performances.

Every communication system has a receiver and a transmitter. Irrespective if it is wired or wireless.The future of wireless communication consists of a massive number of transmitters and receivers. The question arises, can we use computer vision to help wireless communication? To satisfy the high data requirement, a large number of antennas are required. The devices that employ large-antenna arrays have other sensors such as RGB camera, depth camera, or LiDAR sensors.These vision sensors help us overcome the non-trivial wireless communication challenges, such as beam blockage prediction and hand-over prediction.This is further motivated by the recent advances in deep learning and computer vision that can extract high-level semantics from complex visual scenes, and the increasing interest of leveraging machine/deep learning tools in wireless communication problems.[1] <br/><br/>The research was focused solely based on technology like 3D cameras,object detection and object tracking using Computer vision and compression techniques. The main objective of using computer vision was to make Milli-meter Wave communication more robust, and to collect more data for the machine learning algorithms. Pre-build lossless and lossy compression algorithms, such as FFMPEG, were used in the research. An algorithm was developed that could use 3D cameras and machine learning models such as YOLOV3, to track moving objects using servo motors and low powered computers like the raspberry pi or the Jetson Nano. In other words, the receiver could track the highly mobile transmitter in 1 dimension using a 3D camera. Not only that, during the research, the transmitter was loaded on a DJI M600 pro drone, and then machine learning and object tracking was used to track the highly mobile drone. In order to build this machine learning model and object tracker, collecting data like depth, RGB images and position coordinates were the first yet the most important step. GPS coordinates from the DJI M600 were also pulled and were successfully plotted on google earth. This proved to be very useful during data collection using a drone and for the future applications of position estimation for a drone using machine learning. <br/><br/>Initially, images were taken from transmitter camera every second,and those frames were then converted to a text file containing hex-decimal values. Each text file was then transmitted from the transmitter to receiver, and on the receiver side, a python code converted the hex-decimal to JPG. This would give an efect of real time video transmission. However, towards the end of the research, an industry standard, real time video was streamed using pre-built FFMPEG modules, GNU radio and Universal Software Radio Peripheral (USRP). The transmitter camera was a PI-camera. More details will be discussed as we further dive deep into this research report.

This podcast explores the life of Cendraini, growing up in the developing country of Indonesia as well as her eventual immigration to America. It delves into prominent topics and history of Indonesia in regards to Cen's life. The podcast focuses on family, and how no matter the challenges that life may bring, family will be there for you.

This collection entitled “Poems on Home, Family, and the Self” is about the author’s role as a daughter to immigrant parents, who is finding her drive, and understanding where she comes from and how she will use that to find her purpose. The poems in this collection touch upon the author’s upbringing in Northern California, her transitioning relationship with her parents and her brother, as well as her experiences relative to her growth in Arizona. These pieces are greatly inspired by author Arundhati Roy and poet Li-Young Li. Specifically, the author is influenced by Li-Young Li’s approach to poetry – his commentary and storytelling of his life and his parents are objective, observatory, and allow the readers to make opinions for themselves. In this collection, the author aims to make statements about her family and upbringing and show the readers her new understanding of life and her ambitions.

Communication skills are vital for the world we inhabit. Both oral and written communication are some of the most sought-after skills in the job market today; this holds true in science, technology, engineering and mathematics (STEM) fields. Despite the high demand for communication skills, communication classes are not required for some STEM majors (Missingham, 2006). STEM major maps are often so packed with core classes that they nearly exclude the possibility of taking communication courses. Students and job seekers are told they need to be able to communicate to succeed but are not given any information or support in developing their skills. Scientific inquiry and discovery cannot be limited to only those that understand high-level jargon and have a Ph.D. in a subject. STEM majors and graduates must be able to translate information to communities beyond other experts. If they cannot communicate the impact of their research and discoveries, who is going to listen to them?<br/>Overall, the literature around communication in STEM fields demonstrate the need for and value of specific, teachable communication skills. This paper will examine the impact of a communication training module that teaches specific communication skills to BIO 182: General Biology II students. The communication training module is an online module that teaches students the basics of oral communication. The impact of the module will be examined through the observation of students’ presentations.