Matching Items (5)
Filtering by
- Member of: Theses and Dissertations
- Resource Type: Text
Description
The purpose of this cookbook was to provide students that live in the Barrett dorms with easily accessible nutritious meals that prevent total reliance on the dorm's dining hall throughout the year. Limitations of this research included staying within budget, the availability of near-by grocery stores, meal preparation time, and the types of appliances which can be used in dorms. While living in dorms many students may find that dining halls have a large variety of food offerings that are consistently available. Although there are many options, they are not necessarily the healthiest choices. In addition to health these options rarely change. For safety reasons students are limited to dorm room appliance options that include a mini-fridge and a microwave. There is not a lot of cooking you can do with just a microwave, but with the proper knowledge it is surprisingly enough to make a great meal. In addition to appliances students can utilize cutting boards, plates, and plastic utensils, but if students are not educated about cooking diverse meals it is easy to venture toward unhealthy meal choices. Attending college can be costly. Expenses of tuition, books, supplies and living fees can add up quickly. Students are always in need of healthy meal options that are also healthy for their bank accounts. This cookbook contains affordable, healthy, and quick to make recipes. Virtually everyone who has ever been a student usually has a weekly/monthly budgetary amount to spend and cooking their own meals in the dorms will turn out to be much cheaper alternative to having dining hall meals every day. It was interesting to create a week full of meal preps for breakfast, lunch and dinner- including snacks with various alternatives. Not every student has a vehicle in which they can get necessary ingredients for cooking; Therefore, this cookbook has a grocery store map that includes address and store hours to aid students in choosing closer more convenient locations. In college, the journey to a healthy lifestyle is not easy. There are many ways to keep on track and follow the routine which works for both the body and the mind. Following the easy recipes within this cook book will minimize the risk of freshman 15 weight gain and decrease the time spent on both cooking and coming up with healthy meal ideas. These meals are uncomplicated, affordable, and take little to no effort. Barrett CookBook for Dorms main mission was to provide students with a foundation for a nutritional, flexible, and stress-free dining environment without the added stress of constantly thinking about what goes into their bodies.
ContributorsCherkaskykh, Alisa A. (Author) / Grgich, Traci (Thesis director) / Johnston, Carol (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
A distributed sensor network (DSN) is a set of spatially scattered intelligent sensors designed to obtain data across an environment. DSNs are becoming a standard architecture for collecting data over a large area. We need registration of nodal data across the network in order to properly exploit having multiple sensors. One major problem worth investigating is ensuring the integrity of the data received, such as time synchronization. Consider a group of match filter sensors. Each sensor is collecting the same data, and comparing the data collected to a known signal. In an ideal world, each sensor would be able to collect the data without offsets or noise in the system. Two models can be followed from this. First, each sensor could make a decision on its own, and then the decisions could be collected at a ``fusion center'' which could then decide if the signal is present or not. The fusion center can then decide if the signal is present or not based on the number true-or-false decisions that each sensor has made. Alternatively, each sensor could relay the data that it collects to the fusion center, and it could then make a decision based on all of the data that it then receives. Since the fusion center would have more information to base its decision on in the latter case--as opposed to the former case where it only receives a true or false from each sensor--one would expect the latter model to perform better. In fact, this would be the gold standard for detection across a DSN. However, there is random noise in the world that causes corruption of data collection, especially among sensors in a DSN. Each sensor does not collect the data in the exact same way or with the same precision. We classify these imperfections in data collections as offsets, specifically the offset present in the data collected by one sensor with respect to the rest of the sensors in the network. Therefore, reconsider the two models for a DSN described above. We can naively implement either of these models for data collection. Alternatively, we can attempt to estimate the offsets between the sensors and compensate. One could see how it would be expected that estimating the offsets within the DSN would provide better overall results than not finding estimators. This thesis will be structured as follows. First, there will be an extensive investigation into detection theory and the impact that different types of offsets have on sensor networks. Following the theory, an algorithm for estimating the data offsets will be proposed correct for the offsets. Next, we will look at Monte Carlo simulation results to see the impact on sensor performance of data offsets in comparison to a sensor network without offsets present. The algorithm is then implemented, and further experiments will demonstrate sensor performance with offset detection.
ContributorsMonardo, Vincent James (Author) / Cochran, Douglas (Thesis director) / Kierstead, Hal (Committee member) / Electrical Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This thesis details the design process of a variable gain amplifier (VGA) based circuit which maintains a consistent output power over a wide range of input power signals. This effect is achieved by using power detection circuitry to adjust the gain of the VGA based on the current input power so that it is amplifier to a set power level. The paper details the theory behind this solutions as well as the design process which includes both simulations and physical testing of the actual circuit. It also analyses results of these tests and gives suggestions as to what could be done to further improve the design. The VGA based constant output power solution was designed as a section of a larger circuit which was developed as part of a senior capstone project, which is also briefly described in the paper.
ContributorsMeyer, Sheldon (Author) / Aberle, James (Thesis director) / Chakraborty, Partha (Committee member) / Electrical Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
The objective of this paper is to find and describe trends in the fast Fourier transformed accelerometer data that can be used to predict the mechanical failure of large vacuum pumps used in industrial settings, such as providing drinking water. Using three-dimensional plots of the data, this paper suggests how a model can be developed to predict the mechanical failure of vacuum pumps.
ContributorsHalver, Grant (Author) / Taylor, Tom (Thesis director) / Konstantinos, Tsakalis (Committee member) / Fricks, John (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This Creative Project was carried out in coordination with the capstone project, Around the Corner Imaging with Terahertz Waves. This capstone project deals with a system designed to implement Around the Corner, or Non Line-of-Sight (NLoS) Imaging. This document discusses the creation of a GUI using MATLAB to control the Terahertz Imaging system. The GUI was developed in response to a need for synchronization, ease of operation, easy parameter modification, and data management. Along the way, many design decisions were made ranging from choosing a software platform to determining how variables should be passed. These decisions and considerations are discussed in this document. The resulting GUI has measured up to the design criteria and will be able to be used by anyone wishing to use the Terahertz Imaging System for further research in the field of Around the Corner or NLoS Imaging.
ContributorsWood, Jacob Cannon (Author) / Trichopoulos, Georgios (Thesis director) / Aberle, James (Committee member) / Electrical Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05