A Faraday cage is an enclosure that shields electromagnetic fields from entering or exiting the cage. While metals with high electrical conductivity are expected to effectively demonstrate the operation of a Faraday cage, preliminary observations of a sealed cast iron cylinder allowing the transmission of Bluetooth signals between a smartphone and wireless earbuds across it suggested the need for further research into electromagnetic wave propagation through closed metal systems. This research utilized Bluetooth connectivity tests through sealed metal cylinders made of cast iron, aluminum, and stainless steel to analyze the working of Faraday cages, explore related material properties, and isolate possible reasons for the conflict in expected behavior when electromagnetic transmission is detected through such cages. The research methods included conducting Bluetooth connectivity tests with different cylinder orientations and analyzing the strength of the transmitted and received Bluetooth signal. The key findings of this study suggest that material properties, spatial orientation, and the strength of the electromagnetic source influence the transmission of electromagnetic waves through sealed metal cylinders. The implications of these findings suggest potential exceptions to a common electromagnetic phenomenon and provide insights for future research.

Texas Instruments is developing a new micro-optical-electro-mechanical device called phase light modulator (PLM). The TCU senior design team developed a robust testing system that can expose 20 PLM devices to different light sources with the capability of monitoring the temperature and light intensity at each device location. The system design and construction of the testing system will be presented. In addition, the selection and operation of LEDs, temperature and light sensors, as well as the optical components that are needed for the light source and sensors will be discussed.

This research assesses the relationship between income per capita and the amount of maintenance received for the major roads across the State of Texas. Relevant datasets and analysis techniques such as demographic (census data), population density (distribution), road network, maintenance records, etc. will be carried out using ArcGIS Pro software. A series of maps highlighting analysis results derived based on the various parameters will be produced to provide a comprehensive overview of the relationship between the variables, if any, that would be useful for future decision-making.

Trees provide an array of benefits to urban communities, such as oxygen production, flood mitigation, air pollution reduction, increased property value, cooling effects, and cultural services. Tree distribution, however, varies across cities, impacting the delivery of these services from neighborhood to neighborhood. Research has shown that low-income neighborhoods are more likely to have less trees than wealthier neighborhoods, leaving these neighborhoods more vulnerable to health impacts, such as heat-related and respiratory illnesses. The purpose of this study is to analyze tree canopy cover in relation to a set of demographic variables at the US Census block group level to understand if inequities exist in Fort Worth, Texas. We used a geographic information system (GIS) to assess the extent to which age, race, income, and housing characteristics are related to tree canopy. We conducted a correlation analysis between percent canopy cover and the demographic variables. Preliminary results suggest that majority minority and low-income block groups possess less canopy cover than predominantly white, higher-income areas in Fort Worth.

The present study is aimed at comparing the annual income per household to amenities in districts within the Dallas Fort Worth metroplex. Several datasets and analysis results including the spatial distribution of public and private schools, school ratings, proximity to health facilities, parks, and other government provided services will be combined to investigate the research question. Some of the data analysis techniques that will be implemented using ArcGIS Pro include creating buffer zones which act as visual guides to better demonstrate comparisons and communicate the findings in an interactive way.