In the research project, we have aimed to generate pseudo-random values using a Linear Feedback Shift Register(LFSR). LFSR has many important applications in real life including Cybersecurity and Cyclic Redundancy Check. We have researched 3 bit, 4 bit, and 8-bit shift registers to get random values. Moreover, we use XOR where we have alternative tap selection to get random values using the software Quartus. We have waveforms based on the circuit and group our outputs to see the decimal number as a multi-bit counter. Furthermore, we work on the FPGA board to make our research more challenging and interesting.
Lissajous curves, named after Jules Antoine Lissajous (1822-1880) are generated by the parametric equations in its simplistic form. Parametric equations are not just about writing or working with the sine, cosine equations. Others have studied these curves and their applications like Nathaniel Bowditch in 1815, and they are often referred to as Bowditch curves as well. Lissajous curves are found in engineering, mathematics, graphic design, physics, and many other backgrounds. They are also used in our everyday life such as cars, tires, boxes, bulbs, watches etc. In this project entitled “Parametric Art” this project will focus on analyzing these types of equations and manipulating them to create art.
The goal of this research project is to review scientific articles on aerosol transmission of novel-corona Covid-19 in poorly ventilated indoor spaces, and mitigate further spread of this disease by designing a new HVAC system. The Covid-19 episode has raised many questions concerning the improvement of indoor air quality, to eliminate recirculation of cough or sneeze droplets in air conditioning systems. This has become especially critical while at work, traveling, home and group environments. Research methods and results on understanding the spread of Covid-19 focuses on how environmental controls troubleshooting methods can be implemented. This will be an ongoing study.
In this project Communication Design students get together to work on one project throughout the semester. Communication Design students’ goal for this project is to create a creative solution for college students to engage more with a STEM manual book. Students and faculty decided to execute the project as a manual with fun illustrations to be incorporated with the informative text. In the process we are learning new information on soil sciences while experiencing the challenge of collaboration work with the team and the client.
Glioblastoma (GBM) is an aggressive brain cancer. The cancer is difficult to treat because of its location, resistance to treatment, fast-growing rate, and the variety of cell populations it is composed of. We hope to predict cancer spread in healthy brain tissue, as well as identify markers that could correlate with treatment and growth of GBM using a population sample and statistical analysis of MRI signal at different stages. The understanding of standard deviation (SD) of the MRI signal is key. We propose that SD is high when microvesicles, an outward budding from the cell surface are present on the surface of GBM and SD is low when microvesicles are shed and released into the cerebrospinal fluid. This could help explain the behavior of the tumor as well as how to treat it better.
The objective of the project is to research and plan a compact and low-cost smart IoT device which can help to reduce the hot-car death of infants. We will build a prototype system that can detect if a child is left alone in a closed vehicle. When such an event is detected, the device will send alarms to the child’s parents or caregiver through multiple means. If the parents or caregiver do not provide any response, the device will alert the first responder for immediate action. We will use a compact physical computing platform that will connect to a Cloud that will not require active management of users and reach remote parents, caregivers, or first responders.
Have you ever looked at the tag on your clothes to see what they are made from? Every time you wash clothes, millions of fibers are released into the environment. Microfibers are a type of microplastic made of natural, non-synthetic material like cotton, or synthetic materials like polyester. Synthetic materials do not biodegrade, whereas non-synthetic materials do biodegrade. This study investigated which pair of grey leggings from 10 different stores in New York City would lose the most microfibers. Results showed little difference among the stores because of the high amounts of synthetic fibers being used.
This study examines the daily precipitation and temperature record of the greater New York City region during the 1979-2014 period. Daily station observations from three greater New York City airports: John F. Kennedy (JFK), LaGuardia (LGA) and Newark (EWR), are used in this study. Climatological & statistical analyses are performed for the weather variability of New York City metro area to understand the impacts of climate change. Furthermore, the annual mean of precipitation and temperature in New York City show increasing trends with temperature trend is significant. After that, this study compares to other research findings with a different region Amazon Basin to examine the climatological pattern of precipitation in both daily and annual climatological trend.
All different types of groups have been affected by the COVID-19 pandemic such as workers, parents, and students. Due to the pandemic, schools have changed their curriculum to distance learning. Have you ever thought about how the abrupt change has affected students, especially students who need hands-on experience? Through surveys, using a Likert type scale, we are measuring the thoughts and concerns of distance learning on Radiologic Technology students. Different surveys were used for first- and second-year students because they are experiencing different parts of the curriculum. The concerns between the students are different because seniors are currently at clinical sites while juniors are only taking academic courses
This study investigated global lakes’ surface temperature variability using remote sensing and in situ observations in order to understand using remote sensing and in situ observations in order to understand climate change impact on lakes. Linear regression tools have been used to analyze data and to obtain lake water surface temperature, surface area changes per decades for 507 lakes. Results show that 43.15% of the studied lakes are warming, and about 51% of them are cooling. Furthermore, 62.53% of the lakes are shrinking while 28.35% of them are growing. Additionally, there is a moderate positive correlation between water and land temperature changes.
