the Simulink model the pulses in thesignal are counted and converted to an angular velocity. Since direction is not important in this setof experiments only one photo interrupter was used. However, a second photo interrupter couldbe added if direction is needed in the future.Motor DriverSince the voltage and current required for the motor are too high to be directly sourced by theRaspberry Pi, an additional power supply and H-bridge were used to drive the motor. A variableDC power supply that has 1.5V increments from 3V to 12V was selected. However, 4 AAbatteries could also be used. The SoftPWM library from the WiringPi libraries was used inanother Simulink S-function driver to generate the pulse-width modulated (PWM) signal to drivethe H
fluid mechanics students for their participation,feedback, and support of this experimental project.References1 Britton, B. K., and Tesser, A., “Effects of Time-Management Practices on College Grades,” Journal ofEducational Psychology, Vol. 83, No. 3, 1991, pp. 405-410.2 Gregory, J. M., W. J. Carter, and P. S. Gregory, The Student's Handbook for Academic Survival in College,McGraw-Hill, 1997.3 Gregory, J. M, Xie, X., and Mengel, S. A., “Active and Passive Learning Connections to Sleep Management,” 33rdASEE/IEEE Frontiers in Education Conference, Boulder, CO, Nov. 2003.4 Gregory, J. M, Xie, X., and Mengel, S. A., “Sleep Management: A Frontier for Improved AcademicPerformance,” Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference, The
Psychological Association, 2012.[2] Koedinger , K. R., E. Brunskill, R. S. Baker, E. A. McLaughlin, and J. Stamper, “Newpotentials for data-driven intelligent tutoring system development and optimization,” AIMagazine, vol. 34, no. 3, pp. 27–41, 2013.[3] Butz, C. J., S. Hua, and R. B. Maguire, “A web-based intelligent tutoring system forcomputer programming,” in Proceedings of International Conference on Web Intelligence, pp.159–165, IEEE, 2004.[4] Hsiao, I.-H., P. Brusilovsky, and S. Sosnovsky, “Web-based parameterized questions forobject-oriented programming,” in Proceedings of World Conference on ELearning, E-Learn, pp.17–21, 2008.[5] Brusilovsky, P. and S. Sosnovsky, “Individualized exercises for self-assessment ofprogramming knowledge: An
, especiallyfor untenured, tenure-track faculty who have expectations for being able to share passions for notonly research but also teaching. The TLC is supporting our professors of practice as theytransition from industry to academia and teaching. The support by the department chair reducesperceived risk of trying new teaching pedagogies. Finally, we are building a diverse communityof faculty dedicated to teaching in a department that has not has a strong teaching community inthe past.Ambrose, S. A., M. Bridges, M. DiPietro, M. C. Lovett and M. K. Norman (2010). How learning works : seven research-based principles for smart teaching. San Francisco, CA :, Jossey- Bass.Cox, M. D. (2004). "Introduction to faculty learning communities." New
] A. K. Ambusaidi, and S. M. Al-Bulushi, “A longitudinal study to identify prospective science teachers’ beliefs about science teaching using the draw-a-science-teacher-test checklist,” International Journal of Environmental & Science Education, vol. 7, no. 2, pp. 291-311, April 2012.[6] K. D. Finson, “Investigating preservice elementary teachers’ self-efficacy relative to self- image as a science teacher’” Journal of Elementary Science Education, vol. 13, no. 1, pp. 31-41, October 2001.[7] R. Hammack, & T. Ivey, “Elementary teachers’ perceptions of engineering and engineering design,” Journal of Research in STEM Education, vol. 3, no. ½, pp. 48-68, 2017[8] C. Cunningham, C. Lachapele, and A
collaboration.AcknowledgmentsThis material is based upon work supported by the National Science Foundation under Grant No.#1525345. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. This work is done in collaboration with the University of Kansas, Indiana University,Queen’s University at Kingston, University of British Columbia, University of California, Davis,University of Colorado Boulder, and the University of Texas at San Antonio.References [1] C. Baillie and G. Fitzgerald, “Motivation and attrition in engineering students,” European Journal of Engineering Education, vol. 25, no. 2, pp. 145–155, 2000. [2] B. N. Geisinger and D
) Bioinformatics in the post-sequence era. Nat Genet 33 Suppl:305-10. 4. Our cultural commonwealth: The Report of the ACLS Commission on Cyberinfrastructure for the Humanities and Social Sciences, July 18, 2006 5. Buetow, K (2005) Cyberinfrastructure: empowering a “third way” in biomedical research. Science 308(5723): 821-824. 6. Greene, K. and S., Donovan. (2005) Ramping Up to the Biology Workbench: A Multi-Stage Approach to Bioinformatics Education. Bioscene 31(1): 3-11. 7. Rainey, D., Faulkner, S., Craddock, L., Cammer, S., Tretola, B., Sobral, B.W., and O., Crasta. 2007. A project-centric approach to cyberinfrastructure education. TeraGrid 2007. 8. He, Y., R. R. Vines, A. R. Wattam, G
University of Georgia has resulted in over 100 publications and 3 patents. Page 13.1379.1© American Society for Engineering Education, 2008 Variation in computing the Length Factor in the Universal Soil Loss Equation Ernest W. Tollner Abstract The universal soil loss equation, A = R*K*L*S*C*P, estimates average annual soil loss A based on rainfall (R), soil factor (K), length factor (L), slope (S), effective cover factor C, and a practice factor P. In teaching the use of the relationship, students can find values of R on
information is provided: • All pipe sizes and materials • Flow rates coming in or out at points A and B, as shown in the figure Qa = 4 ft3/s A 2 C Q2 Q1 Q3 1 3 B Qb=1 ft3/s Page 11.1386.2 Figure 1. Analysis of a Simple NetworkThe problem has three unknowns, and to solve for them, three independent equations are
193 175 150 132 125 112 S tu d e n ts 100 75 63 50 47 25 12 0 00 01 02 03 04 05 20
-sketched drawings. Theinstructor can use these tools effectively to generate and discuss the correct solutions for theassigned exercises to better guide the students in developing solutions for other problems. Thisapproach to teaching an Engineering Graphics course can be used along-side other traditionalinstructional techniques to further enhance the students’ performance in the course. Page 11.583.10Bibliography1. Navaee, S., “Use of WebCT in Delivering Instructions in Engineering,” Proceedings of the ASEE Annual Conference, Albuquerque, New Mexico, 2001.2. Navaee, S., Das, N.K., “Utilization of MATLAB in Structural Analysis,” Proceedings of the
balance of push-and-pull. If thesuspended object gets too close to the electromagnet, the electromagnet should push itaway. Conversely if it falls too low the electromagnet should work at pulling it back up.The LM1820 driver chip has a built-in H-bridge that can reverse polarity of its output andis perfect for this application.Analog Phase-Lead ControllerThe system is open-loop unstable and a phase-lead controller is needed to increase thephase margin of the system to stabilize it. The open-loop transfer function of the system 6.82 × 10 7can be found using the Bode diagram approach to be G p ( s ) = 2 , with its
Page 23.825.6To study the stability, transient and steady state responses, sampling time of 0.5 msec is used.The motor/gear transfer function, Gm(s) and the sensor transfer function H(s) are obtainedthrough an experiment: Gm(s) = 20/s(s+4), H(s) = 0.6Z-transformation of Gm(s) and D/A yields the following discrete transfer function for the system 27.44 10-7(z + 0.9992) G(z) = (z-1)(z-0.9923)Case 1 (no controller).The system is tested without a controller. The transient response is satisfactory compared to thetheoretical calculation, the rising portion of the actual and expected responses
Taking things (music box, toaster, boxes) apart or put them back together.Outreach § Programs Girl Scouts, afterschool programs, space day/camps. § Designed Children’s Museum(s), Aquariums, Science Centers. EnvironmentsEducation § Kits Circuit kits, Lego robotics, and telescopes. § Curricular Helping with homework, giving extra tasks (i.e. math quizzes, workbooks in summer) Page 23.501.4Informal DiscussionsA vast majority of the parents (n=96%) mentioned that informal discussions were part oftheir repertoire for
”The final equation then becomes: µ = [W * La * R2 * sin θ * (Rc – Rd)] [0.65797 * Rd * Rd * Ld * Rc * R1 * RPM]with units of pounds force seconds per square foot. Students are also given the exercise of unitsconversion from the above viscometer-dependent units to strengthen their understanding of theuniversality of viscosity between measurement systems. Figure 3 – Viscometer Geometry3) Test FluidFor the purpose of calibration a common, published fluid, SAE 30W motor oil is used. (2) It hasthe following viscosity properties; 0.350 Pa s @ 68F and 0.019 Pa s @ 176F. As the spreadsheetbelow shows, performance of this design was shown to be quite good. Deviation ranged
Assiout University which belongs tothe South of Egypt and 35% for Alexandria University, the national average being 30.5%.This is to be compared to 50.16% ratio for the total university population. It should also benoted that this feature is not new although the figures grew steadily in the last five years(Fig.3). In the early 1960's this ratio was almost 10%.The female graduates represent more than 50% of Architecture and Chemical Engineeringgraduates, around 30% of those of Electrical Engineering, 25% of Civil Engineering andaround 15% of the Mechanical Engineering ones (Fig.4).On the staff side, the percentages are less pronounced by are still much larger than thecorresponding in western engineering educational institutions
66.4 1.0 Competitive Analysis Physically moving patient 1.0 4.0 1.0 5.0 1.0 5.0 1.0 Target Value 4.0 5.0 3.0 5.0 4.0 5.0 3.0 2 deg min in/s
calculates the sensitivity of the bridge is given.MATLAB script2 file:~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~%This script is the continuation of the script1.Z2=10;Z4=10;Z3=10;Zsource=1;Zdetector=100;Vsource=20;dIdetector=0.1e-3; %smallest detector deflectionZ1=Z2*Z3/Z4 % bridge balance% S=bridge sensitivity S=dI_detector/dZ1, substitute Z1=Z2*Z3/Z4S=-Z4*V_source/(Z3*Z2*Z1+Z1*Z4*Z3+Z1*Z4*Z2+Z3*Z2*Z4+Z_source*(Z3*Z2+Z1*Z4+Z4*Z3+Z2*Z1)+Z_detector*(Z1*Z3+Z3*Z2+Z4*Z1+Z4*Z2+Z_source*(Z1+Z2+Z3+Z4)));dz1=dIdetector/S %bridge resolution~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~Let us consider the following bridge components Vsource=20 V, Zsource=1
Session 3547 Enhanced Electric Machines and Power Course Chih-Ping Yeh, Mulchand S. Rathod Wayne State UniversityAbstractThis paper presents our experiences in developing a NSF-funded CCLI project for enhancing the‘Electric Machines and Power’ course. The objective of this project is to provide a new structure tothe existing course to enhance student learning of electric machines. The project involves (1) improvingthe long existing rotating machine laboratory by adding modern power electronic drives and devisingreal time data acquisition for measurement and analysis
ofengineering graduates will again start climbing given that the Millennial Generation is of theCivic type and possess strong potential engineering credentials (community oriented,scientifically inclined, good learners, team players, modest, and willing to take directions fromparents and teachers.)Millennials will prefer a more structured curriculum with ways to measure objective progress.Boomers enjoyed school but battled the rules and behaved in a less controlled manner as therules were relaxed. Millennials say they dislike school but are better behaved, as the rulesbecome stricter 5,6. Millennials are showing progressively better performance in schoolcontrasted with boomer performance that declined in the 1960’s. Millennial parents are alsomore
circuit yielded good slew rates (1V/s).The Spice simulation of the operational amplifier were done on both a PC running Microsim'sversion 8 and also on a Sun station running Cadence suite, namely Analog Artist v.4.4.3. It wasdetermined that the differences in the results were insignificant. After this thorough designverification of the opamp and also the peripheral circuits designed for biasing it, layout designswere generated using Fairchild's CS80C process parametrized component library and Cadence Page 7.317.3suite. The resulting experimental chip whose name "OpAmp1" reflects the fact that it is a Proceedings of the 2002 American
design.ProblemDesigning digital circuits can be an easy, mechanical exercise, once the basics are mastered.After all, it’s just a matter of getting all the 1’s and 0’s in the right place at the right time, andeven if you guess at the answer, you have a 50% chance of being correct, right? That is thereason that automating the design process through hardware description languages and softwarethat reads those languages to configure programmable logic devices has been so successful. Onthe surface, everything is cookbook and easy. Complex systems are assembled by replicatinglots of simple circuits, a process at which digital computers excel. Circuits designed by studentsin the lab for an introductory digital circuits course fall into this category of design. Once
Session 3548 Development of a Wireless Communications Course for Electronics Engineering Technology (EET) Curriculum Ahmed S. Khan DeVry Institute of Technology 1221 N. Swift Road Addison, IL 60101 E-mail: khan@dpg.devry.edu Amin Karim DeVry Institute of Technology One Tower Lane Oakbrook Terrace
Session 3209Meeting the ABET Computer Competency Requirement in the Department of Electrical and Computer Engineering at Tennessee State University M. Bodruzzaman, S. S. Devgan, and S. Zein-Sabatto Tennessee State UniversityIntroductionIn the Information Age, access to timely information in appropriate form is power. Engineers oftomorrow must be proficient in developing computer tools and applications to facilitate access toinformation anywhere any time. ABET criteria for computer use and computer facilities inengineering curriculum and specifically Electrical, Electronic(s), Computer and similarly
Session 3232Meeting the ABET Computer Competency Requirement in the Department of Electrical and Computer Engineering at Tennessee State University M. Bodruzzaman, S. S. Devgan, and S. Zein-Sabatto Tennessee State UniversityIntroductionIn the Information Age, access to timely information in appropriate form is power. Engineers oftomorrow must be proficient in developing computer tools and applications to facilitate access toinformation anywhere any time. ABET criteria for computer use and computer facilities inengineering curriculum and specifically Electrical, Electronic(s), Computer and similarly
learning.The instructors here are ultimately interested in how to best navigatethe role that generative AI tools will play in the experience andlearning outcomes of their students related to course objectives, suchas improving written and oral technical communication skillsthrough written assignments and class presentations. The long-term goal of the study is to collectand analyze cross-institutional data to investigate and compare AI usage by BME students fromdifferent institutions, and we are currently working towards a multi-institution IRB to do so.4. References[1] C. Shaw, L. Yuan, D. Brennan, S. Martin, N. Janson, and G. Bryant, “GenAI In Higher Education,” Tyton Partners, Oct. 2023, [Online]. Available: tytonpartners.com/time-for
, pp. 25–1144.[4] M. L. Miles, C. A. Agger, R. S. Roby, and T. R. Morton, “Who’s who: How ‘women of color’ are (or are not) represented in STEM education research,” Science Education, vol. 106, no. 2, pp. 229–256, 2022, doi: 10.1002/sce.21694.[5] “Diversity and STEM: Women, Minorities, and Persons with Disabilities 2023 | NSF - National Science Foundation.” Accessed: Feb. 19, 2024. [Online]. Available: https://ncses.nsf.gov/pubs/nsf23315/report[6] R. F. Funk Brian Kennedy and Cary, “STEM Jobs See Uneven Progress in Increasing Gender, Racial and Ethnic Diversity,” Pew Research Center Science & Society. Accessed: Feb. 19, 2024. [Online]. Available: https://www.pewresearch.org/science/2021/04/01/stem- jobs-see
presented their lunchboxdesign solutions for their final presentation (FP). The presentations were seven minutes in lengthand required students to identify the problem, describe the different thermal regulation systemsin nature (i.e., polar bear, whale blubber, penguins, etc.) they explored for their design solution,which system(s) were incorporated into their design and how they were incorporated.Additionally, students presented their design iterations, including models/images, along withresults and modifications for each design, leading to their final design solution. The presentationswere audio-recorded and transcribed for data analysis.Finally, students completed an engineering survey (pre-post), which comprised 5-point Likert-scale items
, 9-11 weeks during the summer months [33], [34], [35]. Students have theopportunity to work directly alongside faculty and graduate student mentors, complete an oralpresentation or research paper, and sometimes pursue publication of their work [34], [36].Students who participate in REU programs are commonly asked to answer surveys that detailtheir perceptions of their skills and experiences [11], [34], [37], where students commonlyexpress having an increase in research skills, such as keeping lab notebooks and writing/readingresearch papers [31], laboratory skills [34], and collaboration [37]. In Nepal et al.'s study [11],students answered pre- and post-surveys about their experiences in mechanical, industrial, andsystems engineering REU