Evaluation of Witczak and Hirsch Models for Predicting Dynamic Modulus of Hot-Mix Asphalt. Journal of Association of Asphalt Paving Technologists, vol. 74, 2005.12. Einstein, A. Eine neue Bestimmung der Molekuldimensionen. Annalen der Physik, Vol 34, 1911, pp. 591-592. English Translation in "Investigations on the Theory of Brownian Motion," Dover Publications, Inc., New York, N.Y., pp. 36- 62, 1956.13. Hashin, Z. (1962). The Elastic Moduli of Heterogeneous Materials. J. Appl. Mech., 29E, 143.14. Hashin, Z. and S. Shtrikman. A Variational Approach to the Theory of the Elastic Page 11.639.8 Behaviour of Multiphase Materials. J. Mech. Phys
AC 2007-232: COST-EFFECTIVE PROCESS CONTROL LAB SETUPPaul Villeneuve, University of Maine Paul L. Villeneuve, P.E. is an Assistant Professor in the School of Engineering Technology at the University of Maine. Page 12.410.1© American Society for Engineering Education, 2007AbstractMany four-year engineering technology programs require or offer course(s) thatemphasize examining the transient behavior of systems. The systems can be mechanical,electrical, chemical, or any other engineering discipline. These courses are generallyclassified as classes covering control system theory. Unfortunately, examining thetransient
/student_view0/chapter18/interactive.html[3] Dubson, M., Perkins, K., Reid, S. and Wieman, C. (2011) Circuit Construction Kit (AC+DC), Virtual Lab, PhET Interactive Simulations. Retrieved on 12/01/2012 from http://phet.colorado.edu/en/simulation/circuit- construction-kit-ac-virtual-lab[4] Virtual Demonstrations. (n,d). Retrieved on 12/01/2012 from http://www.physics.ohiostate.edu/~dws/class/genedu/demo.html[5] Physics Classroom Series: Hands-on-Virtual Lab (2003) Retrieved on 12/07/2012 fromhttp://classroomseries.com/hand-on-virtual-lab-physics.php[6] Alan Zisman, A., (2003) Virtual Electricity Lab. Retrieved on 12/05/2012 from http://www.zisman.ca/electricity/elect1.htm[7] National Instruments (2012) “NI ELVIS: Educational Design
. A., & Fowler, E. (2001). Improving First‐Year Engineering Education,” Journal of Engineering Education, 90(1), 33-41. [4] Brockman, J. B., Fuja, T., & Batill, S. M. (2002, June). “A Multidisciplinary Course Sequence for First- Year Engineering Students,” Proceedings of the American Society for Engineering Educational Annual Conference and Exposition. [5] Montgomery, R., Follman, D., & Diefes-Dux, H. (2003, November). “Relative Effectiveness of Different First-Year Engineering Seminars,” Proceedings of Frontiers in Education. [6] Budny, D., LeBold, W., & Bjedov, G. (1998). “Assessment of the Impact of Freshman Engineering Courses,” Journal of Engineering Education, 87(4), 405-411. [7] Brannan, K. P., &
Page 24.32.5students to take an introduction to engineering course but they may choose from introduction tothe various disciplines, an engineering projects course, and an engineering survey course.DisseminationAs indicated earlier, sharing the detailed taxonomy with ASEE will result in broad disseminationand impact. We have shared our work primarily through conferences to gain the help of theengineering education community in framing the taxonomy and our other results. We havepresented our work in four presentations at 3 conferences, and have another under review forpresentation at this ASEE conference. We have engaged the community with several workshopsand presentations as well. Orr, M., Ohland, M., Long, R., Brawner, C., Lord, S., and
, Basic Books, 1983.8. Odeh, S., Abdelghani, E. (2009) "Laboratory Experimentation for Supporting Collaborative Working inEngineering Education over the Internet" International Journal of Behavioral, Cognitive, Educational andPsychological Sciences, vol. 1, no. 2, pp. 117-123, ISSN: 2073-0500. Page 25.627.10
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and Exposition Year. Milwaukee, WisconsinASEE.3. Saleta, M.E., D. Tobia, and S. Gil, Experimental study of Bernoulli's equation with losses. American Journal of Physics, 2005. 73(7): p. 598-602.4. Munson, B.R., D.F. Young, and T.H. Okiishi, Fundamentals of Fluid Mechanics. fifth ed. 2006, New York: Wiley.5. Edwards, R., G. Recktenwald, and B. Benini. A laboratory exercise to teach the hydrostatic principle as a core concept in fluid mechanics. in ASEE Annual Conference and Exposition. Austin, TX. June 14-17, 2009, American Society for Engineering Education. Page 15.161.14
," in Proceedings of the 2006 ASEE Conference and Exposition, Chicago, 2006.[2] T. Kaiser, A. Lingley, M. Leone, and B. Pierson, "MEMS Fabrication as a Multidisciplinary Laboratory," in Proceedings of the 2007 ASEE Conference and Exposition, Honolulu, 2007.[3] T. Hsu, MEMS & Microsystems Design and Manufacture. Boston: McGraw Hill, 2002.[4] W. Park, J. Mallon, A. Rastegar, B. Pruitt A. Barlian, "Review: Semiconductor Piezoresistance for Microsystems," Proceedings of the IEEE, vol. 97, no. 3, pp. 513-52, 2009.[5] S. Bouwstra, R. Spiering V. Spiering, "On chip decoupling zone for package-stress reduction," Sensors and Actuators, vol. A.39, pp. 149-56, 1993.[6] K. Petersen, "Silicon as a Mechanical Material," Proceedings of the
-536, July 2002.8. Taylor, K. and Dalton, B., “Internet Robotics: A New Robotics Niche,” IEEE Robotics and Automation,Vol.7, No.1, pp.27-34, March 2000.9. "Bailey, S. A., Cham J., G., Cutkosky, M. R., Full, R. J., "Biomimetic Robotic Mechanisms via ShapeDeposition Manufacturing," Robotics Research: the Ninth International Symposium, John Hollerbach andDan Koditschek (Eds), Springer-Verlag, London, 2000. Page 25.396.12
”,Information Systems Education Journal, Vol. 4, No. 50, pp 1-7, August 8, 2006.4. Auer, M. E., Pester, A. 2007. Toolkit for Distributed Online-Lab Grids. In: Advances on remote laboratories ande-learning experiences, 2007, University of Deusto, Bilbao, Spain.5. V. J. Harward, J. A. del Alamo, S. R. Lerman P. H. Bailey, J. Carpenter, et. al., "The iLab Shared Architecture: AWeb Services Infrastructure to Build Communities of Internet Accessible Laboratories," Proceedings of the IEEE ,vol.96, no.6, pp.931-950, June 2008.6. Felknor, C., DeLong, K. 2006. iLabs Service Broker Complete Machine Build, 2006, MIT iCampus, CambridgeMA, USA
Page 22.1073.11 simulation,” International Journal of Production Research, Volume 48, Issue 5, pp. 1517 – 1529, 2010.2. Jin-Shyan Lee and Pau-Lo Hsu, “A systematic approach for the sequence controller design in manufacturing systems,” International Journal of Advanced Manufacturing Technology, Vol. 25, No. 7-8 / April, pp. 754–760, 2005.3. Klingstam P and Gullander P, “Overview of simulation tools for computer-aided production engineering,” Computers in Industry, Vol. 38, Issue 2, pp. 173–186, 1999.4. Elisabet Estévez, Marga Marcos, and Darío Orive, “Automatic generation of PLC automation projects from component-based models,” Int J of Adv Manuf Technol, 35:527–540, 2007.5. Iwata K, Onosato M, Teramoto K, and Osaki S, “A modeling
Khonsari, M.M., 2007, ”Granular Collision Lubrication: Experimental Investigation and Comparison with Theory,” ASME Journal of Tribology – V. 129, pp. 923-932 Synergistic Activities: Engineering Program Manager, Baton Rouge Community College, August 2011 – Present: LA-SiGMA EPSCoR - collaborate with LSU engineering and mathematics faculty to develop modules to train community college students to use sophisticated materials research instrumentation, assist with the Beowulf Boot Camp for high school students and teachers and facilitate the participation of BRCC students in the research experiences for undergraduates (REU) programs focused on computational and experimental materials science NSF S-STEM Scholarships
. & Yuen, S. C., Video streaming in online learning. AACE Journal 14, 31–43, 2006.18. Means, B., Toyama, Y., Murphy, R., Bakia, M. & Jones, K., Evaluation of evidence-based practices in online learning: a meta-analysis and review of online learning studies. U.S. Department of Education 1–96, 2010. http://www2.ed.gov/rschstat/eval/tech/evidence-based-practices/finalreport.pdf19. Falconer, J.L., DeGrazia, J., Medlin, J. W. & Holmberg, M., Using screencasts in ChE courses. Chemical Engineering Education 43, 302–305 (2009).20. Falconer, J.L., Nicodemus, G., DeGrazia, J. & Medlin, J. W., Chemical engineering screencasts. Chemical Engineering Education 46, 58–62 (2012
Transmission from HighAltitude Balloon: An Interdisciplinary Senior Design Project," Proceedings of 2010 AnnualASEE Conference and Exposition, Louisville, KY June 2010.[17] J. Mitola, Cognitive Radio - An Integrated Agent Architecture for Software Defined Radio.Ph.D. Dissertation. Teleinformatics, Royal Institute of Technology - Sweden, 2000.[18] S. Haykin, “Cognitive radio: brain-empowered wireless communications," IEEE J. Sel.Areas Commun., vol. 23, pp. 1-20, 2005.[19] A. Wyglinski, M. Nekovee and Y. Hou, Cognitive Radio Communications and Networks: Page 24.1090.8Principles and Practice, Academic Press, 2010[20] X. Li, V. Chakarvarthy and Z. Wu
advanced mathematics with the optimization theory and s-domainto z-domain conversions. However, with our teaching pedagogy, this barrier can be overcomethrough design of different types of filters by MATLAB and applying them to real-timeimplementations. MATLAB is a necessary tool used to verify filter performance and performsimulations of various digital filter applications. To motivate our technology students orientedabout hands-on experience, we required them to perform real-time DSP using a floating-pointdigital signal processor2-3, TMS320C6713 DSK (development starter kit), to develop a real-timeDSP project such as a digital crossover system.The paper is organized as follows. We first explain the course prerequisites and describe ourclass
in pertinent area(s), and confidence/independence in conducting research Challenges student faced during the program Quality of student’s final paper, presentation, and poster Continuation of research efforts after the completion of the program Contribution to a scientific publication Overall satisfaction with the program Suggestions for improvementProject staff evaluations include: Progress and challenges student faced during the program Overall satisfaction with the program Suggestions for improvementConclusionParticipation in the TTE REU program provides community college students an intellectualexperience, a sense of community with other like-minded community college students
. Gan, S. Kuo, “Teaching DSP Software Development: From Design to Fixed-Point implementations,” IEEETrans. on Education, vol. 49, issue, 1, pp. 122-131, February 2006.4. L. Tan, J. Jiang, “Teaching Advanced Digital Signal Processing with Multimedia applications in EngineeringTechnology Programs,” ASEE Annual Conference, June 2009.5. Ifeachor, Emmanuel and Jervis, Barrie. Digital Signal Processing, A Practical Approach, Prentice-HallPublishing, 2002.6. de Vegte, Joyce Van. Fundamentals of Digital Signal Processing, Prentice-Hall Publishing, 2002.7. J. Essick, LabVIEW for Scientists and Engineers, Oxford University Press, 2009. Page
modelparameter calculations were achieved.A method to accurately determine the transistor intrinsic capacitances was developed anddemonstrated. The accurate correspondence of simulation, analysis and experimental enhancesstudent confidence in the learning process.AcknowledgementUSD Institutional Review Board approval was obtained for the Fall 2012 semester.IV. Bibliography 1. D. Costa, W. U. Liu, and J. S. Harris Jr., “Direct extraction of the AIGaAs/GaAs heterojunction bipolar transistor small-signal equivalent circuit,” IEEE Trans. Electron Devices, vol. 38, pp. 201 8-2024, Sept. 1991. 2. I. E. Getreu, Modeling the Bipolar Transistor. Amsterdam: Elsevier, 1978 3. Thomas F. Schubert,, Jr. and Ernest M. Kim, A Short Study
units) in thelaboratory and consider how to organize the pennies to prevent them from being mixed up.Students are also asked to identify the measurand(s) that will be measured for the customer, andto again ask their questions for the customer and for management. Then students work in teamsto create a list on their flip charts of “all possible things they might measure” on the pennies asthey add the parameter to their scope. Many of the items on their list will either be included onthe calibration report or will be considered again when discussing the validated procedure thatwill be used and/or the uncertainty of their measurements.After inspecting the pennies, qualitative issues are often raised about how to uniquely identifyeach penny (since
includes four categories of how anindividual processes and evaluates information29. The first category describes how a personinteracts with his or her environment. People who take initiative and gain energy frominteractions are known as Extroverts (E). Introverts (I), on the other hand prefer more of arelatively passive role and gain energy internally. The second category describes how a personprocesses information. A person who process data with their senses is referred to as a Sensors(S) and a person who sees where data is going in the future is called an iNtuitor (N). The Sensorversus iNtuitor category is an interesting area of study when it comes to engineering education,because professors are historically intuitors while most engineering
, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National Science Foun-dation.Bibliography1. National Academy of Engineering, The Engineer of 2020: Visions of Engineering in the New Century, NationalAcademies Press, 2004.2. National Science Board, Moving Forward to Improve Engineering Education, National Science Foundation Re-port NSB-07-122, 2007.3. Bill Seil, “Design anywhere, build anywhere, work anywhere”, Boeing Frontiers, June 2005. Online at: (Re-trieved March 30th 2014: http://www.boeing.com/news/frontiers/archive/2005/june/ts_sf08.html)4. Bart H. M. Gerritsen, “How to Adapt Information Technology Innovations to Industrial Design and Manufactur
Transforming Undergraduate Education inSTEM Award NSF DUE-1226114, 1226087, 1226065 and 1226011. Photographs in Figure 2were taken by Mr. John McCormick (Virginia Tech).References1. B. Ferri, S. Ahmed, J. Michaels, E. Dean, C. Garvet, S. Shearman, "Signal Processing Experiments With LEGOMINDSTORMS NXT Kit for Use in Signals and Systems Courses," Proceedings of the American ControlConference, St. Louis, June 2009, pp. 3787-3792.2. G. Droge, B. Ferri, and O. Chiu, “Distributed Laboratories: Control System Experiments with LabVIEW and theLEGO NXT Platform,” ASEE Annual Conference and Exposition, San Antonio, June 2012.3. B. Ferri, J. Auerbach, “A Portable Finite State Machine Module Experiment for In-Class Use in Lecture-BasedCourse, ASEE Annual
the lab instructor verify that every student team collected all necessary data.The printouts are then included in the lab reports, making these reports more informative,looking more professional, and easier to grade. Students are required to upload some of their datafiles on the server to be used in post-lab analysis and homework assignments, linking labexperience to theoretical learning in the course.Finally, the students obtain hands-on experience with the software, which is widely used inindustry for control and data acquisition, thus they get a competitive edge in job hunting.10. References 1. M. Duarte, B. P. Butz, S. M. Miller An Intelligent Universal Virtual Laboratory (UVL) IEEE Transactions on Education, volume 51 number 1
(e.g., www.omega.com). Please write a memorandum to SciToy Inc. describing in detail the decisions you made in developing your model to address their request. This should reveal your thought process during model development. Please attach the model(s) used to this memo.A Possible Solution ProcessIn responding to this request from SciToy Inc., students will likely go through some version ofthe following modeling process: 1) Estimate the initial temperature and pressure 2) Determine the initial system volume 3) Determine the final volume 4) Calculate the initial mass of the system 5) Calculate the final mass of the system 6) Model the process to estimate the final pressure a. What assumptions went into