Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Mohammad Abu Rafe Biswas, The University of Texas at Tyler; Benjamin Lee Stilwell, The University of Texas at Tyler; Edgar Reyes

resulting work was evaluated over the Summer and Fall terms and then planned to beimplemented by this Spring term. However, the SARS-CoV-2 pandemic thrust this ongoing projectinto overdrive to move up completion and evaluation by last Spring semester. This group worked todesign and develop a modular graphical user interface that would allow the user to remotely operatea simulated heat exchanger and acquire data where the physical system is inaccessible.Current HardwareThe current experimental equipment consists of the Armfield DLMX system shown in Figure 1.The system consists of a small battery-operated base unit and seven different cartridges “coveringfluid mechanics, thermodynamics and heat transfer” 8. The battery-operated base unit can

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Prasanna Vasant Kothalkar, Center for Robust Speech Systems (CRSS), University of Texas at Dallas, TX, USA; Jay Buzhardt; John H. L. Hansen, University of Texas at Dallas; Dwight Irvin, Juniper Gardens Children's Project; Beth S Rous, University of Kentucky

for Engineering Education 6Application for predicting talk time A practical application for our system involves the prediction of talk time for the different speakergroups by summing the individual segment classifications. We can compare the actual and thepredicted talk times using figures 3 and 4. Corresponding to analyses from confusion matrices, it canbe seen that PC and SC classes are predicted lesser than their actual duration while AD is predictedto have higher talk time than is the reality. With better precision, these details can be useful toteachers in planning their classes for improved participation and more equitable talk time among theparticipants. Figure 3. Actual talk time for

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Colin Michael Burdine, Baylor University (Student)

Paper ID #35086Distance Measure Concepts for Bayesian Inference of Chaotic DynamicalSystem ParametersMr. Colin Michael Burdine, Baylor University (Student) Colin Burdine is a fourth-year undergraduate student at Baylor University, majoring in Mathematics and Computer Science. He is working on his B.S. in Computing with plans to attend graduate school upon graduating in May 2021. He is interested in computer science theory, with applications in randomized algorithms and automated theorem proving. American c Society for Engineering Education, 2021

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

David E Hubbard, Texas A&M University

forstudent and researcher process design projects. Using PPIs to adjust chemical prices provides anappropriate means to adjust older chemical prices to the present. In this study, PPIs were used toadjust four chemical prices over a 15-year period and assessed the results in terms of comparing toreported prices. The approach was moderately successful in that 90% of the PPI-adjusted priceswere within ±50% of reported values and 81% were within a 2003-2018 historical price range forthe chemicals studied. In addition to the comparisons of PPI-adjusted prices to reported values, thispaper offers a few items to consider if planning to use PPIs to adjust chemical prices. References1. Couper, J.R., 2003

Collection

ASEE 2021 Gulf-Southwest Annual Conference

Authors

Monikka M. Mann, Texas Tech University; George Tan, Texas Tech University

Tagged Topics

Diversity

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