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2018 ASEE Zone IV Conference

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Robyn Sandekian, University of Colorado, Boulder

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program development. Recently, she co-developed the curriculum for the new Minor in Global Engineering offered by the CU Boulder College of Engineering and Applied Science starting in fall 2016. Dr. Sandekian earned B.S. and M.S. degrees in Aerospace Engineering Sciences at CU Boulder, a Spe- cialist in Education (Ed. S.) degree in Educational Leadership and Policy Studies from the University of Northern Colorado, and her Ph.D. in Higher Education Student Affairs Leadership at the University of Northern Colorado in December 2017. c American Society for Engineering Education, 2018 Finding the Rainbow Needles in the Engineering Haystack: Connecting with a Hard-to-Reach

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2018 ASEE Zone IV Conference

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Tyler Jay Ashby, Utah State University; Wade H Goodridge, Utah State University; Sarah E Lopez, Utah State University; Natalie L Shaheen, National Federation of the Blind; Benjamin James Call, Utah State University - Engineering Education

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-1712887. Several others have beencollaborators on this research including: David Uttal, Anne Hunt, Ann Cunningham, and theNational Foundation of the Blind.DisclaimerThis material is based upon work supported by the National Science Foundation under Grant No.1712887. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundationReferences[1] Gorska, R., Sorby, S. A. (2008, June 22-25), “Testing Instruments for the Assessment of 3-D Spatial Skills”, Proceedings of the 2008 ASEE Annual Conference Proceedings, Pittsburg, PA.[2] Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., Newcombe, N

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2018 ASEE Zone IV Conference

Authors

Cheng Chen, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Kwok Siong Teh, San Francisco State University; Hamid Shahnasser, San Francisco State University; Jun Jian Liang, San Francisco State University; Christopher Alexander Amaro, Cañada College; Adam Albert Davies, ASPIRES ; Priscila Joy Silva Chaix, Cañada College; Jesus Caballero, Canada College; Juvenal Marin Sanchez, San Jose State University; Xiaorong Zhang, San Francisco State University

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&%24DEVICE%24=native-android-mobile. [Accessed 27 September 2017].[4] G. W. Housner, T. K. Caughey, A. Chassiakos, R. O. Claus, S. Masri, R. E. Skelton, T. T. Soong, B. Spencer and J. Yao, "Structral Control: Past, Present, and Future," J. Eng. Mech, vol. 123, no. 9, pp. 897-971, 1997.[5] H. Gavin, "Multi-duct er Dampeers," Intell. Mater. Syst. Struct, pp. 353-366, 2001.[6] R. Bouc, "Modèle Mathématique M'Hystérésis: Application Aux Systèmes à Un Degré De Liberté," Acustica (in French), p. 16–25, 1971.[7] Y.-K. Wen, "Application of Random Vibration Method to Safety and Damage Analysis of Buildings and Structures," Random Vibration-Status and Recent Developments - The Stephen Harry Crandall Festschrift

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2018 ASEE Zone IV Conference

Authors

Jayson Paul Mercurio, Canada College; Kevin Yamada; Jose L. Guzman, Canada College; Xiaorong Zhang, San Francisco State University; Wenshen Pong P.E., San Francisco State University; Amelito G Enriquez, Canada College; Zhaoshuo Jiang P.E., San Francisco State University; Cheng Chen, San Francisco State University; Kwok Siong Teh, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Alexander Choi, Canada College; Ayesha R Iqbal

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, has anapproximately 60 seconds training time while achieving 95%-97% accuracy on the MNIST testset. The finalized model is Jetson ready. 98.5 98 97.5 97 96.5 96 95.5 95 94.5 0 50 100 150 200 250 300 350 Figure 11: Runtime (s) vs. Accuracy (%) Baseline Network Batch Size 1024 Training Epochs 100 Learning Rate 0.01 Optimizer Adam Hidden Units 800

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2018 ASEE Zone IV Conference

Authors

Kattia Chang, Cañada College; Karina Abad, Cañada College; Ricardo Jesus Colin, Canada College; Charles Tolentino, University of California, Merced; Cameron Malloy, University of California, Berkeley; Alex David, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University; Cheng Chen, San Francisco State University; Kwok Siong Teh, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Xiaorong Zhang, San Francisco State University

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Education through the Minority Science andEngineering Improvement Program (MSEIP, Award No. P120A150014); and through theHispanic-Serving Institution Science, Technology, Engineering, and Mathematics (HSI STEM)Program, Award No. P031C110159.Bibliography1. Olson S, Riordan DG: Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics. Report to the President. Executive Office of the President 2012.2. Gregerman SR, Lerner JS, von Hippel W, Jonides J, Nagda BA: Undergraduate student-faculty research partnerships affect student retention. The Review of Higher Education 1998, 22:55-72.3. Graham MJ, Frederick J, Byars-Winston A, Hunter A-B

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2018 ASEE Zone IV Conference

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Bridget Benson, California Polytechnic State University, San Luis Obispo; Matt Jamison Burnett, State University of New York at Canton

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realized that creating the art installation of Convergence would not only require thecreative direction of an artist, but also the design and build skills of an engineer(s). Not onlywould the final art installation provide a metaphor for the coming together of ideas, it would alsoliterally require the coming together of multiple art and engineering disciplines to realize theproject. Convergence would become a true engineering and arts education project.Science, technology, engineering, arts, and math (STEAM) education has become a populartopic in last decade as government and industry leaders have realized that in a world with greaterpopulation, global interconnection, and technological advancement, complex problems not onlyrequire the

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2018 ASEE Zone IV Conference

Authors

Ryan Yedinak, Cañada College; Oskar Granados, Canada College; Vincent Vu Thanh Tran, San Jose State University; Moises Arturo Vieyra, Canada College; Alec William Maxwell, San Francisco State University; Amelito G Enriquez, Canada College; Wenshen Pong P.E., San Francisco State University; Cheng Chen, San Francisco State University; Kwok Siong Teh, San Francisco State University; Xiaorong Zhang, San Francisco State University; Hamid Mahmoodi, San Francisco State University; Hao Jiang, San Francisco State University; Zhaoshuo Jiang P.E., San Francisco State University

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://doi.org/10.1016/j.engstruct.2005.02.021.2. Rice, J. A., Mechitov, K. A., Sim, S. H., Spencer, B. F. and Agha, G. A. (2011), Enabling framework for structural health monitoring using smart sensors. Struct. Control Health Monit., 18: 574–587. doi:10.1002/stc.3863. Duzgun, A., Jennifer A. R., Justin R. M., and Ivan R., L. “Comparison of Visual Inspection and Structural-Health Monitoring As Bridge Condition Assessment Methods.” Journal of Performance of Constructed Facilities 30, no. 3 (June 1, 2016): 04015049. https://doi.org/10.1061/(ASCE)CF.1943-5509.0000802.4. ASCE Infrastructure Report Card 2017, American Society of Civil Engineers.5. Quanser. Shake Table II - Quanser. https://www.quanser.com/products/shake-table-ii