Engineers, “SWE fact sheet,” (2014, May 7, 2014). Available: Society ofWomen Engineers, http://societyofwomenengineers.swe.org/about-swe/4309-swe-fact-sheet[6] W. A. Wulf, “Diversity in engineering,” The Bridge, vol. 28, no. 4, pp. 8-13, 1998.[7] K. Bowman, “Growth and Gender Diversity of the US Engineering Faculty,” LinkedIn Pulse,04-Jul-2016. [Online]. Available: https://www.linkedin.com/pulse/growth-gender-diversity-us-engineering-faculty-keith-bowman. [Accessed: 21-Nov-2016]. [8] National Science Foundation Engineering Workforce Task Group, “The engineeringworkforce: Current state, issues, and recommendations-Final report to the Assistant Director ofEngineering.” Washington, DC, USA, 2005.[9] J. A. Whittaker & B. L. Montgomery, (2012
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
in a rubber material. Thethree parts are assembled, and the object appears the same as the other alternatives (see Figure4). Ultimately, the texture type that receives the most positive feedback from the consultants willbe selected and incorporated into each of the 25 problems for the final instrument. Object A Object B Figure 3. Photographs of 3-D printed TMCT Objects. Object A has a rubber-textured POI, Object B has a glue-textured POI Unassembled Assembled Figure 4. Photographs of three part 3-D printed TMCT Object before and after assembly.The possible TMCT answers for each problem
hyperbolictangent, the non-parametric algebraic and the Bouc-Wen models, for both force-versus-displacement and force–versus-velocity with various current inputs, respectively. Figures5(a)~(d) present the sensitivity analysis result of the viscous plus Dahl model, non-parametricalgebraic model, hyperbolic tangent model and Bouc-Wen model, respectively. The resultsdemonstrate the correlation-based indices of different models for both linear and rank analysis.Figure 5(a) shows k x as the highest contributed parameter to the viscous plus Dahl model; whilek w and ρ have small negative correlation-based indices, which mean that as kw and ρ increase theoutput force will decrease. Figure 5(b) presents the non-parametric algebraic model resultsshowing parameter b
Recognition, 2003. Proceedings. doi:10.1109/icdar.2003.12278015. Schaul, Tom, Ioannis Antonoglou, and David Silver. (2014). Unit Tests for Stochastic Optimization. [1312.6055] Unit Tests for Stochastic Optimization.6. Ian Goodfellow, Yoshua Bengio & Aaron Courville (2016). Deep Learning. MIT Press. doi:10.1038/nature145397. M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin et al. (2016). Tensorflow: Large-scale machine learning on heterogeneous distributed systems. [1603.04467]8. Lecun, Y. A., Bottou, L., Orr, G. B., & Müller, K. (2012). Efficient BackProp. Lecture Notes in Computer Science Neural Networks: Tricks of the Trade, 9-48. doi:10.1007/978-3-642
. Figure 5: Software flow diagram for microcontroller systemSystem TestsIn order to test the vessel and microcontroller system design, two system tests were performedalong the Isar River in Munich, Germany prior to the final demonstration at Grasse River: IsarTest Launch A and Isar Test Launch B. Below we describe the test setup, test goals, and testfindings of each system test.Isar Test Launch AIsar Test Launch A included 13 “Iteration 1” vessels loaded and launched at an accessible bendin the Isar River along the southeast edge of Munich, Germany. Two units contained theprototype microcontroller system and the remaining units contained “dummy” LEDS solely totest the light quality of the project. At dusk, the vessels were dropped in the water by
://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
associated events, a large number of Hungarian government-sponsored refurbishment projects were ongoing in the city. These projects provided a uniqueopportunity for Metropolitan State University of Denver (MSU Denver) and University of Pecs(UP) to jointly organize a Refurbishment of Structures course that constituted the start of anacademic collaboration between the two institutions. Although initially the partnership wasbetween the engineering colleges, by now it has expanded university wide. As the partnershipgrows, more academic areas, from Political Science, to Africana Studies, to Management havestarted collaborations, which consist mainly of faculty and student exchanges and jointconferences and program development. One of the main purposes of
Paper ID #241572018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Effective Competitions for Broadening Participation in CybersecurityDr. John Y Oliver, California Polytechnic State University, San Luis Obispo Dr. Oliver is an associate professor of Electrical Engineering and is the director of the Computer Engi- neering program at Cal Poly, San Luis Obispo. Dr. Oliver is also a program director for the California Cyber Training Complex (CCTC). His field of expertise is in computer architecture, system performance analysis and digital forensics. His teaching activities focus on embedded systems, digital circuit design