Conference Session

College Industry Partnerships Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Karen D Alfrey, Indiana University Purdue University, Indianapolis; Stephen Hundley, Indiana University Purdue University, Indianapolis; Terri L. Talbert-Hatch, Indiana University Purdue University, Indianapolis; David J. Russomanno, Indiana University-Purdue University Indianapolis

Tagged Divisions

College Industry Partnerships

Scholars in Engineering: Promoting Student Success through Cohort-Building and Industrial EngagementIntroductionThe National Science Foundation (NSF) Scholarships in Science, Technology, Engineering andMathematics (S-STEM) program provides grants to institutions of higher education to supportscholarships for academically well-prepared undergraduate students with demonstrated financialneed. The goal of the program is to contribute to the number of well-prepared scientists andengineers in the workforce by increasing the number of students with financial need who enterthe STEM workforce after completing a degree program in science or engineering1,2.In spring 2012, we received an S-STEM grant to establish the “CLEAR Scholars in Engineering

Conference Session

Embedded Systems and Mobile Computing

Collection

2014 ASEE Annual Conference & Exposition

Authors

Cory Brozina, Virginia Tech; David B. Knight, Virginia Tech Department of Engineering Education

Tagged Divisions

Computing & Information Technology

Paper ID #9264Credentialing MOOCs: A Case StudyMr. S. Cory Brozina, Virginia Tech Cory Brozina is a PhD student in the Engineering Education department at Virginia Tech. His research is in educational technology and data analysis.Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program at Virginia Tech. His research focuses on student learning outcomes in undergraduate engineering, interdisciplinary teaching and learning, organizational change in colleges and universities

Conference Session

Assessment of Learning in ECE

Collection

2014 ASEE Annual Conference & Exposition

Authors

Rami Jubrail Haddad, Georgia Southern University; Youakim Kalaani, Georgia Southern University

Tagged Divisions

Electrical and Computer

m 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 xa am _0 _0 _0 _0 _0 _0 _0 _0 _0 _1 _1 _1 _1 _1 _1 _1 _1 _1 _1 E Ex ST S T ST ST ST ST S T ST ST ST ST S T ST ST ST ST S T ST ST st- e- Page 24.649.11 Po Pr Figure 10 – Main Effect Plot Illustrating the Effect of Students and

Conference Session

Instrumentation Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

James Andrew Smith P.Eng., Ryerson University

Tagged Divisions

Instrumentation

parameter sweep could be performed in any number of software packages, including Matlab or a PSPICE variant. What distinguishes Maple and MapleSim from these other programs is the ability to generate the underlying equations of the system. This is a critically important feature. MapleSim contains an “attach equation” option which populates a Maple worksheet with live interactive hooks to the MapleSim file. Three equations are created by the worksheet which describe the mathematical rules governing the system: ⎧ D _ Goff D _ off (t) ⎫ Vbatt − OutputVolt(t) − D _ s(t)⋅ ⎨ ⎬ − D _ Goff ⋅ D _VKnee = 0

Conference Session

Track 1b - Session 1

Collection

2014 ASEE International Forum

Authors

Mert Bal, Miami University

Tagged Topics

Curriculum and Lab Development

study will be conducted in the future by theauthor in order to capture multiple influential factors and investigate the effectiveness of remotelaboratories more profoundly.References1. Bal, M. Virtual manufacturing laboratory experiences for distance learning course in engineering technology. Paper session presented at the meeting of 2012 ASEE Annual Conference and Exposition, San Antonio, Texas, United States, June 2012.2. Fujita, J. S. T., Cassaniga, R. F., And Fernandez, F. J. R. Remote laboratory. In Proceedings of the 2003 IEEE International Symposium on Industrial Electronics. Rio. de Janeiro, Brazil. 1104–1106, 2003.3. Yoo, S. And Hovis, S. Technical symposium on computer science education. In Proceedings of the 35th

Conference Session

Track 1b - Session 1

Collection

2014 ASEE International Forum

Authors

Marjaneh Issapour, State University of New York, Farmingdale; Gonca Altuger-Genc, State University of New York, Farmingdale

Tagged Topics

Curriculum and Lab Development

: Successful Collaborations to Improve High School Student Achievement” Accessed on 3/10/2014 from Los Angeles County Office of Education http://apep.gseis.ucla.edu/bestla/BEST-InsideSchlUnivPartnerships.pdf 7. Ing, M., Huang, P., LaCombe, N., Martinez-Lopez, Y., and Haberer, E. D., 2012, “Creating Opportunities for Reflection: Analyzing Middle School Student Work During a Service-Learning Course on Solar Cells”, International Journal for Service Learning in Engineering, Vol.7, No.1, Spring 2012 8. Bagiati, A., Yoon, S. Y., Evangelou, D., and Ngmabeki, I., 2010, “Engineering Curricula in Early Education: Describing the Landscape of Open Resources”, Journal of Early Childhood

Conference Session

Computer Programming and Simulation

Collection

2014 ASEE Annual Conference & Exposition

Authors

John R. Baker, University of Kentucky

Tagged Divisions

Computers in Education

OK, but problems with phase angles on plots in Case 5. D OK OK OK E OK, but natural frequencies Results calculated over a freq. OK listed in rad/s instead of Hz. range that differs from user input. Also, node numbering problem in the printed mode shapes. F Program is actually a separate Program is actually a separate OK script for each test case; user script for each test case; user input input is ignored

Conference Session

Biomedical Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Raquel Perez Castillejos, New Jersey Institute of Technology

Tagged Divisions

Biomedical

Paper ID #10294NSFREU Site on Neural Engineering: Aiming at High Research Standards(work in progress)Dr. Raquel Perez Castillejos, New Jersey Institute of Technology Dr. Raquel Perez-Castillejos is an assistant professor of Biomedical Engineering at the New Jersey Insti- tute of Technology (NJIT). Her research (www.tissuemodels.net) focuses on the development of tools for cell and tissue biology using micro- and nanotechnologies. Raquel obtained her Ph.D. with the National Center of Microelectronics in Barcelona. She was a postdoctoral fellow at the Laboratory of Miniaturized Systems (Univ. S˜ao Paulo, Brasil) and later at

Conference Session

Research in Biomedical Pedagogy

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jennifer Rae Papich; Christian James Kennett, Gannon University; Davide Piovesan, Gannon University

Tagged Divisions

Biomedical

). FreeMat. Available: http://freemat.sourceforge.net/index.html#home[8] Simtk. (1-Jan-2014). OpenSim. Available: https://simtk.org/home/opensim[9] J. A. Reinbolt, A. Seth, and S. L. Delp, "Simulation of human movement: applications using OpenSim," Procedia IUTAM, vol. 2, pp. 186-198, 2011.[10] A. Seth, M. Sherman, J. A. Reinbolt, and S. L. Delp, "OpenSim: a musculoskeletal modeling and simulation framework for in silico investigations and exchange," Procedia IUTAM, vol. 2, pp. 212-232, 2011.[11] S. L. Delp, F. C. Anderson, A. S. Arnold, P. Loan, A. Habib, C. T. John, et al., "OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement," Biomedical Engineering, IEEE Transactions

Conference Session

Mechanical Division Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Goodarz Ahmadi, Clarkson University

Tagged Divisions

Mechanical Engineering

particles are fist deposited on a test section and placed in theresuspension wind tunnel. A microscope is used to take pictures of the particles on thetest section. The air velocity in the wind tunnel is gradually increased from 1 m/s toabout 15m/s in steps. After each increase of the airflow velocity, some particles areremoved, and a picture of the particles still on the test section is taken. By counting the Page 24.969.5number of particles of different sizes remaining on the test section, the critical shear 4velocity for detachment of different size particles are measured. Additional experimentalstudies

Conference Session

Preparing Future Educators

Collection

2014 ASEE Annual Conference & Exposition

Authors

Stephanie Marie Kusano, Virginia Tech; Homero Gregorio Murzi, Virginia Polytechnic Institute and State University; Prateek Shekhar, Virginia Tech; Timothy Kinoshita, Virginia Polytechnic Institute and State University; Christina Seimetz Wade, Virginia Tech; Richard M. Goff, Virginia Tech Department of Engineering Education; Debarati Basu, Virginia Tech

Tagged Divisions

Graduate Studies

weeks), that met once a week for 2hours and 45 minutes. I. Course Objectives: In particular, having successfully completed the course, students will be able to: a) Create organized and theoretically effective syllabi b) Articulate correspondences and differences between education theory and education practice c) Perform peer reviews of other instructors and constructively discuss their performance d) Productively reflect on teaching practices to improve student learning and class environment e) Draw on classroom experiences to develop useful formative assessments f) Develop a teaching portfolio that articulates and illustrates the student´s teaching philosophy II. Syllabus: Following are the

Conference Session

Topics Enhancing ET Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Vladimir Genis, Drexel University (Tech.); Siddharth Vyas, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Engineering Technology

been entered in the required cells, students enter thereference values of the sound velocity in water in the designated cells. Percentage errors willautomatically be calculated for values of sound velocity in water obtained by the studentsexperimentally. Through Transmission: Two Transducers Frequency Ref. Velocity Velocity m/s % Error Velocity m/s % Error Velocity m/s % Error Average Average in MHz m/sec 50 mm 50 mm 100 mm 100 mm 150 mm 150 mm Velocity m/sec % Error 2.25 3.5 5 Averages Figure 9. Spreadsheet for calculations of errors of the experimental data. 5. SummaryThe Excel macros as an assisting tool for

Conference Session

Engineering Physics & Physics Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Robert A. Ross, University of Detroit Mercy; E. Prasad Venugopal, University of Detroit Mercy; Gary P. Hillebrand, University of Detroit Mercy; Meghann Norah Murray; Matthew Gonderinger, Wayne State University, University of Detroit Mercy

Tagged Divisions

Engineering Physics & Physics

1,11,20 10 7,16,25 11 6,15,24,28,29 Table I DIRECT question number(s) corresponding to the relevant learning objective.Implementation & Results of AssessmentBeginning with the winter 2004 term and continuing through the fall 2013 term, we administeredthe DIRECT assessment to all of the second semester general physics laboratory students,(N=738) at the end of the semester. This group of students includes 284 students taking thecalculus-based physics sequence and 454 students taking the algebra-based sequence. Forpurposes of comparison, the sample size in the original publication of the DIRECT

Conference Session

Manufacturing and Machine Component Design

Collection

2014 ASEE Annual Conference & Exposition

Authors

Steven W. Beyerlein, University of Idaho, Moscow; Edwin M. Odom, University of Idaho, Moscow; Jay Patrick McCormack, Rose-Hulman Institute of Technology; Dan Cordon, University of Idaho, Moscow

Tagged Divisions

Mechanical Engineering

quest. We also hope to use the work reported hereas a proof-of-concept for campus IT decision-makers, convincing them of the need for a campus-based wiki server that is under local control, has more administrative options for opening/closingediting groups, communicates our campus brand, and is without any embedded advertising.Despite these changes we are committed to keeping contents of the wiki publicly available asthis has proven to be a valuable tool for networking in the design for manufacturing community.References1. ASEE, “Transforming Undergraduate Education in Engineering, Phase I: Synthesizing and Integrating Industry Perspectives”, Workshop Report, May 2013.2. Odom, E., Beyerlein, S., Porter, C., Gomez, A., Gallup L., “Internet

Conference Session

Potpourri

Collection

2014 ASEE Annual Conference & Exposition

Authors

Reza Sanati-Mehrizy, Utah Valley University; Afsaneh Minaie, Utah Valley University; Ruhul H. Kuddus, Utah Valley University; Ali Sanati-Mehrizy; Paymon Sanati-Mehrizy, Icahn School of Medicine at Mount Sinai

Tagged Divisions

Computing & Information Technology

effects of climate change on public health in my research agenda. My research also involve data mining.Dr. Ali Sanati-Mehrizy Dr. Ali Sanati-Mehrizy is a Pediatric resident physician at Rutgers University - New Jersey Medical School in Newark, NJ. He is a graduate of the Milton S. Hershey Pennsylvania State University College of Medicine. He completed his undergraduate studies in Biology from the University of Utah. His research interests are varied and involve pediatric hematology and oncology as well as higher education curricula, both with universities and medical schools.Mr. Paymon Sanati-Mehrizy, Icahn School of Medicine at Mount Sinai Paymon is currently a medical student at the Icahn School of Medicine at Mount

Conference Session

K-12 Outreach and Out-of-School Time Engineering Programming and Research

Collection

2014 ASEE Annual Conference & Exposition

Authors

Anca L. Sala, Baker College, Flint; Pattabhi Sitaram, Baker College, Flint; Tom Spendlove, Baker College, Flint

Tagged Divisions

K-12 & Pre-College Engineering

engineering, their teamworkand presentation skills, the modules taught, the camp schedule, and suggestions forimprovement. The possible answers to both survey questions were Strongly Agree, Agree,Neutral, Disagree, and Strongly Disagree.The pre-camp survey questions were as follows:1) I plan to go to college when I finish high school.2) I am interested in a specific college(s).3) I have a specific career goal(s).4) I am interested in a career in engineering/4-year program.5) I am interested in a career in technology/2-year program.The figure below shows students responses to the pre-camp survey. The responses illustrate thatthis was a very focused group of students, with a large majority planning to enroll in college(96%) and having very clear goals

Conference Session

Distance Learning in Engineering Technology

Collection

2014 ASEE Annual Conference & Exposition

Authors

Brian A. Alenskis, Purdue University, Richmond, Ind.

Tagged Divisions

Engineering Technology

textbook. Often staticsinstructors will intentionally encourage their students to refer to it for additional assistance.Some instructors have chosen to replace the course textbook outright with OLI’s interactivestatics content. One well executed approach by S. A. Sorby and C. R. Vilmann at MichiganTechnological University3, fully replaced the lectures with OLI resources and a weekly, one-hourquestion and answer classroom session. Papadopoulos and Roman4 have explored its potentialuse with bilingual students. OLI has proven to be a versatile learning resource for developingstatics instruction.After concluding that OLI incorporated excellent learning research and interactive features, weselected its Engineering Statics course for use within the

Conference Session

WIED: Curricular Undergraduate Student Programs

Collection

2014 ASEE Annual Conference & Exposition

Authors

Alistar Erickson-Ludwig, Drexel University (Eng.); Alisa Morss Clyne, Drexel University (Eng.)

Tagged Divisions

Women in Engineering

. (2010). Why so few? Women in science, technology, engineering, and mathematics. AAUW. Washington, D.C. 3. Eccles, J. S. (2007). Where Are All the Women? Gender Differences in Participation in Physical Science and Engineering. In S. J. Ceci, W. M. Williams (Eds.) , Why aren't more women in science?: Top researchers debate the evidence (pp. 199-210). American Psychological Association. 4. Reichert, M., & Absher, M. (1997). Taking another look at educating African American engineers: The importance of undergraduate retention. Journal of Engineering Education, 86(3), 241–253. 5. Murphy, T., Gaughan, M., Hume, R., & Gordon Moore Jr., S. (2010). College graduation rates for minority students in a

Conference Session

Software Engineering Constituent Committee Division Technical Session 3

Collection

2014 ASEE Annual Conference & Exposition

Authors

Robert W. Hasker, Milwaukee School of Engineering; Yan Shi, University of Wisconsin - Platteville

Tagged Divisions

Software Engineering Constituent Committee

sequence diagrams.The tool is available to instructors at other institutions via the web. Eventually, it should bepossible for other instructors to set up assignments using the website, but currently assignmentsmust be sent to us by email. Contact the first author at http://member.acm.org/∼hasker for helpin setting up an assignment.References [1] A. Abran, J. W. Moore, P. Bourque, and R. Dupuis, editors. Guide to the Software Engineering Body of Knowledge. IEEE Computer Society, 2004. Page 24.1157.10 [2] M. Auer, T. Tschurtschenthaler, and S. Biffl. A flyweight UML modelling tool for software development in heterogeneous

Conference Session

NSF Grantees’ Poster Session

Collection

2014 ASEE Annual Conference & Exposition

Authors

Michele Miller, Michigan Technological University; Sheryl A. Sorby, Ohio State University; Apurva Anil Kambale, Michigan Technological University; Megan Farrish, Michigan Technological University

Tagged Topics

NSF Grantees Poster Session

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

Page 24.1182.5This material is based upon work supported by the National Science Foundation under grantnumber EEC-1024628.References1. Guglielmino, L. M., Development of the self-directed learning readiness scale, Doctoral dissertation, University of Georgia, Dissertation Abstracts International, Vol. 38, No. 6467A, 1978.2. Hoban J. D., Lawson S. R., Mazmanian P. E., Best A. M., and Seibel H. R., “The Self-Directed Learning Readiness Scale: a factor analysis study,” Med Educ, Vol. 39, No. 4, pp. 370–379, 2005.3. J. Barsch, Barsch Learning Style Inventory, New York: Academic Therapy Publications, 1996.4. R. M. Felder and L. K. Silverman, "Learning and teaching styles in engineering education," Engr. Education, Vol. 78, No. 7

Conference Session

Continuing Professional Development Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Geoffrey L Herman, University of Illinois, Urbana-Champaign; Leslie Crowley, University of Illinois, Urbana-Champaign

Tagged Divisions

Continuing Professional Development

programtargeting the improvement of undergraduate engineering education. Faculty proposed large-scalerenovations of a specific undergraduate course or closely-related group of courses, with the goalof improving student engagement, learning outcomes, and faculty teaching experiences.Alternatively, faculty could propose to develop teaching technologies that would facilitate theimplementation of evidence-based teaching practices. Priority in funding was given to projectsthat would impact large numbers of students or provide critical interventions early in students’learning careers.“Live deep, not fast,” is an admonition coined in the early 1900’s by literature professor, critic,and editor Henry Seidel Canby 1. Faculty participating in SIIP were invited to

Collection

2014 Fall ASEE Middle Atlantic Section Conference

Authors

Mahmoud Elsayed; Paul Cotae

) The modems can operate in the range of 250 meters. • Shipping noise is dominant only where 10 < f < 100 The transmitting power of sensors depends on the voltage Hz, and has defined a shipping activity factor of s supply (ranging from 183dB at 8V to 189dB at 16V).The ranges from 0 to 1 for low high respectively. modems were configurable to a specific data rate. However

Collection

2014 ASEE Zone 1 Conference

Authors

Richard Millham

of assignment between Open and Distance Learning, vol. 5, 2004.assessments, and time allocated per assessment. [13] P. N. S. Järvelä, J. Laru, and T. Luokkanen, " Structuring and regulating collaborative learning in VII. ACKNOWLEDGEMENTS higher education with wireless networks and mobile tools," Educational Technology & Society, vol. 10, pp. 71-79, 2007.The Research Team would like to thank the MMI [14] a. S. B. E

Collection

2014 ASEE Zone 1 Conference

Authors

Daniel Gebremicheal; Paul Cotae

Department of Defense(DoD) Grant W911NE-11-1-0144. REFERENCES[1] R. Kamdem, P. Cotae and I.S. Moskowitz,” Threshold based stochastic resonance for the binary-input ternary output discrete memoryless channels,” Proceedings of the IASTED-CIIT, pp. 61-66 May 2012.[2] Ira. S. Moskowitz, P. Cotae, P. N. Safier, and D. L. Kang, “Capacity Bounds and Stochastic Resonance for Binary Input Binary Output Channels,” Proc. of the IEEE Computing, Communications & Applications conference. pp. 61-66, Jan. 2012.[3] S. Kay, J. H. Michels, H. Chenand and P.K.Varshney,”Reducing probability of decision error using stochastic,”IEEE.Trans on Signal processing, vol.13, pp.695 – 698, Nov.2006.[4] A

Collection

2014 ASEE Zone 1 Conference

Authors

Varun Pande; Jayanta Paul; Manuel Curillo; Jani Macari Pallis

permission to an RJ45 Ethernet port and aamong both satellites as seen in CubeSat Design kill switched recommended by CubeSat [4] while DC/PIPSpecifications Document [4] which will give a velocity of 5 mission has a two patch antennae for conductingmm/s. experiments and GPS mission has GPS antennae ad both of them have similar charges.In DC/PIP mission specified friction equipment will bringCubeSat to zero velocity as they are launched of 10-meter E. Mass Budgettether. In GPS mission a slow drift will be present which Table 2 shows the budget for CubeSat missions of 1

Collection

2014 ASEE Zone 1 Conference

Authors

Abdelrahman Elleithy; Gonhsin Liu; Varun Pande

functional lifetime of sensor networks”, Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN), pp. 13-19. [3] Soro, S. and Heinzelman, W. B. (2005) “Prolonging the lifetime of wireless sensor networks via unequal clustering”. Proceedings of the 19th IEEE International Parallel and Distributed Processing

Collection

2014 ASEE Zone 1 Conference

Authors

Omar Yahya; Miad Faezipour

, “Efficient frequency-based classification of respiratory [1] S. C. Tarrant, R. E. Ellis, F. C. Flack et al., movements,” in IEEE International Conference on “Comparative review of techniques for recording Electro/Information Technology (EIT), pp. 1-5, 2012. respiratory events at rest and during deglutition,” [15] K. Watanabe, and T. Watanabe, “Non-contact sleep Dysphagia, vol. 12, no. 1, pp. 24-38, 1997. stage estimation method,” IEEE TBME on Biomedical [2] R. Gilbert, J. Auchincloss, J. Brodsky et al., “Changes in Engineering, vol. 10, no. 51, pp. 1735-1748, 2004. tidal volume, frequency, and ventilation induced by their [16] W. Xu, M.-C. Huang, J

Collection

2014 ASEE Zone 1 Conference

Authors

Richard Steven Colon; Prabir Patra; Khaled Elleithy

Proceedings of 2014 Zone 1 Conference of the American Society for Engineering Education (ASEE Zone 1) Random Word Retrieval for Automatic Story Generation Richard S. Colon, Sr., Prabir K. Patra, and Khaled M. Elleithy If we consider the activity of creating literature, can a Abstract— Over the past forty years, significant research has computational system write a story such that a reader wouldbeen done on story/narrative generation in which the computer is not know the story was computer generated? Can the storiesthe author. Many existing systems generate stories

Collection

2014 ASEE Zone 4 Conference

Authors

Baird Brueseke; Gordon Romney

CLaaS vLab configurations is the cost of anexpensive text book. The business model assumes that academic institutions will develop(setup/configure) vLabs with specific learning objectives prior to the start of a semester and thenreserve vLab space in the CLaaS portal based on expected enrollment for the course(s) to betaught during a semester. It is anticipated that institutions will have the ability to pass the cost ofvLabs on the students in the form of a lab fee.ConclusionAdvances in virtualization technology have provided academic institutions with opportunities todeliver computer science education using innovative techniques. These opportunities havebrought with them both change and conflict. Many instructors have embraced the chance

Collection

2014 ASEE Zone 4 Conference

Authors

Frank Sanchez; Cheng Chen

and without the incorporation of actuator delay. The ground motion used inthis simulation is the 1994 Northridge earthquake recorded by USC in Beverly Hills with a peakground acceleration of 0.4158 g. The delay incorporated is 3 ms at the first story and 3 ms at thesecond story. The structure has the natural frequencies of 3.88 rad/s and 10.17 rad/s. Thestructure is assumed to have Rayleigh viscous damping of 2% for both the first and second story.Figure (2a) and Figure (2c) represent the command vs. measured displacement at the first andsecond story, respectively; and Figure (2b) and Figure (2d) represent displacement response errorat the first and second story, respectively. The maximum displacement error is 20.5% for the firststory and