; less familiar metaphors. Language & Communication, 9, 49-68.Dehkhoda, A. A.. 1982, The selected proverbs. Tehran: Tirazhe Publication. (in Persian)Eghbal, Farshid, 2006. English-Persian famous proverbs. Tehran: Sabok Baran Publication. (in Persian)Fraser, B.. 1981. Insulting problems in a second language. TESOL Quarterly, 15, 435-441.Hsieh, S. C.. 2006. A corpus–based study on animal expressions in Mondarin Chinese and German. Journal of Pragmatics, 38, 2206-2222.Nadim, M.. 2000. The role of animals in shirazi proverbs with sociolinguistic approach. Tehran: First volume, Daneshgah publication. (in Persian)Newmark, P.. 1988. Approaches to translation. London: Prentice Hall, Hemel Hempstead.Qhanbari, A.. 1999. English-Persian
with in any way. If a team had maxed out their work earlier than the hourprovided they could elect to conclude their test early. Testing was done on a team by team basisin the lab. If during the final test the team encountered a problem and wanted to request a re-test,this was allowed, but their final performance grade dropped 7% each time. Of the 16 teams thatfaced this performance grading, 14 successfully raised their quarter above 6 feet, one team raisedit two feet, and one team’s design did not function.Case 2 - The main difference in Case 2’s final demonstration was that every team competed atthe same time. The students were given one hour to demonstrate their design. It was set-up as adepartment event that faculty and students from other
= (3) dt T r −T t z D 10 rThe three parameters are given as Dr = 5560 s, Tr = 50 °C, and z = 4.35 °C. Initially, the rate ofcoliform contamination is specified as 106 CFU/g, and the burger is safe to eat when themaximum N(t) is below 1 CFU/g. Note that kN(T) is changing constantly in each node as afunction of time, as the nodal temperatures increase. Until the temperature rises above 50 °C,the rate of destruction is quite slow. The rate increases rapidly after
—that is, an increase to 100% favorable,expressed mathematically in Equation 1,where and are the final (post) and initial (pre)class averages on the Force Concept Inventory.6 %G % S f − % Si < g >≡ = (1) % G max 100% − % S iHake classifies courses as “high-g” if they show normalized gains greater than or equal to 0.7,“medium-g” courses have normalized gains between 0.3 and 0.7, and “low-g” courses, whichtended to use traditional lecture classroom methods, were lower than 0.37Table 2 provides data about the groups and summarizes survey results. In labeling the groups ofstudents
can be introduced in the lecture.Experiments can be designed to test a processor against some or all of these domains.Moreover, reconfigurable hardware, such as Field Programmable Gate Array (FPGA) orComplex Programmable Logic Devices (CPLD), can be used to support both normalfunctionality as well as testing 8. During normal operation these devices can implement thedesired functionality of the system while during testing they can be configured to supportspecific test requirements. These devices can be used as test generator for other neighboringcomponent(s) or response collector from them. These responses can be analyzed to identifyfaults in the system. As such, the dual use of reconfigurable devices can be an interestingacademic material at
Mathworks software, which will allow ourundergraduate students to learn state-of-the art Model-Based Design (MBD) techniques. Thesuccessful completion of this project will significantly modify two existing undergraduatelaboratory courses in dynamics and control.References[1] FANUC Robotics America online support [http://www.fanucrobotics.com/file-repository/DataSheets/Robots/LR-Mate-200iC-Series-&-R-30iA-Mate-Controller.pdf][2] H. Asada and J. J. E. Slotine: Robot Analysis and Control, Wiley-Interscience (1986)[3] J. Y. S. Luh, and C. S. Lin, "Automatic Generation of Dynamic Equations for MechanicalManipulators", 1981 Joint Automatic Control Conference, Charlottesville, VA (1981
industry’s employmentneeds, both in quality and quantity.References 1. Esrey, S., Potash, J., Roberts, L., & Shiff, C. (1991). Effects of improved water supply and sanitation on ascariasis, diarrhoea, dracunculiasis, hookworm infection, schistosomiasis, and trachoma. Bull World Health Organ, 69(5), 609-621. 2. Water and Liquid Waste Treatment Plant and System Operators (2009). U.S. Bureau of Labor Statistics. Retrieved January 10, 2011, from http://www.bls.gov/oco/ocos229.htm 3. DeNileon, G. P., & Stubbart, J. (2005). Employment Outlook Good for Operators, Grim for Utilities. Opflow, 31(5), 3-8. 4. DeNileon, G. P., & Stubbart, J. (2005). Employment Outlook Good for Operators
. The thrustpower is adequate to maintain adequate velocity of the boat to cover 10 to 20 ft/s. The ruddersystem allows quick turning action and a bumper in front of the boat protects it against collisionwith underwater rocks and debris. The NXT based system has also allowed students to use theplatform to learn and implement software tools such as ROBOTC and LABVIEW, over andabove the NXT code that came with the LEGO-NXT system. Current and future efforts with theboat project involve replacing the NXT system with LABQUEST which will be easier interfacewith GPS and Vernier sensors. Students are also developing a low cost fully autonomous Page
EngineeringPrograms on ABET Inc.’s website. 2The University of Detroit Mercy is currently designing a new Core Curriculum that is based onstudent learning outcomes. Engineering and other externally accredited programs are anticipatingthe flow of assessment information from the liberal education part of the core to satisfyaccreditation criteria. (To date, systemic assessment of the current core has not taken place, atleast not in a form that is made available to all academic units.) Key aspects of the core will bedelivered by departments whose members are relatively new, and in some cases resistant, tooutcomes based assessment. Thus it is critical for those within the institution who haveassessment expertise to partner with those who will be delivering the
features for each value are listed in figure 4. Score Rubric 1 Concept exists, no other attributes 2 Topic is defined by originator(s) 3 Local conditions are adapted to fit 4 External interest, some 'buzz' 5 Serious external scrutiny, some hostile 6 Significant speculative growth 7 Self-sustaining from revenue earned 8 Full competition in all major markets 9 Mature technology cash cow 10 End of life management Figure 4. General grading rubrics. Page
AC 2011-1108: A DIMENSIONAL ANALYSIS EXPERIMENT FOR THEFLUID MECHANICS CLASSROOMCharles Forsberg, Hofstra University Charles H. Forsberg is an Associate Professor of Engineering at Hofstra University, where he primarily teaches courses in the thermal/fluids area. He received a B. S. in Mechanical Engineering from Polytech- nic Institute of Brooklyn and an M. S. in Mechanical Engineering and Ph. D. from Columbia University. He is a Licensed Professional Engineer in New York State. Page 22.37.1 c American Society for Engineering Education, 2011 A Dimensional Analysis
instruction. International Journal on E-Learning, 5(3), 313-337. 3. Kearsley, G. (1997). A guide to online education. Retrieved September 2, 2007, from http://fcae.nova.edu/kearsley/online.html 4. Lim, D. H., Morris, M. L., & Kupritz, V. W. (2007). Online vs. blended learning: Differences in instructional outcomes and learner satisfaction. Journal of Asynchronous Learning Networks, 11(2), 27-42. 5. Russell, T. L. (2001). The No Significant Difference Phenomenon: A Comparative Research Annotated Bibliography on Technology for Distance Education (5th ed.): International Distance Education Certification Center. 6. Simonson, M., Smaldino, S., Albright, M., & Zvacek, S. (2006). Teaching and learning at a
helped improve this process over several years; we appreciate cadets Lauren Hohenberger, Nate Barnes and Kevin Stevens for allowing us to include their concept maps.References 1. Kadlowec, Jennifer, Paris von Lockette, Eric Constans, Beena Sukumaran and Douglas Cleary, “Hands-on Learning Tools for Engineering Mechanics,” Proceedings of the American Society for Engineering Education Annual Conference, 2002 2. Ellis, Glenn W., Kathryn S. Lee and Alyssa Tham, “Learning Engineering Mechanics Through Video Production,” Proceedings of the ASEE/IEEE Frontiers in Education Conference, Savannah, GA, 2004 3. Holzer, Siegfried M. and Raul H. Andruet, “Learning Basic Mechanics with Multimedia,” Proceedings of the
] Breidenbach, D., Dubinsky, E., Hawks J., & Nichols, D. (1992). Development of the Process Conception ofFunction. Educational Studies in Mathematics, 23(3), (pp. 247-285)[5] Lobato, J. E. (2003). How design experiments can inform a rethinking of transfer and vice versa. EducationalResearcher, 32(1), (pp.17-20)[6] National Research Council, Committee on Developments in the Science of Learning (2000). Learning andtransfer. In J. D. Bransford, A. L. Brown, & R. R. Cocking (eds.), How people learn: Brain, mind, experience, andschool (Exp. Ed., pp. 51-78). Washington, DC: National Academy Press.[7] Reed, S. K. (1993). A schema-based theory of transfer. In D. K. Detterman & R. J. Sternberg (Eds.), Transfer ontrial: Intelligence, cognition and
. Page 22.62.10Bibliography1. Todd, R.H. “The how and why of teaching an introductory course in manufacturing processes”Frontiers in Education Conference, 1991. Twenty-First Annual Conference. 'Engineering Education in aNew World Order.' Proceedings, 21-24 Sep 1991, West Lafayette, IN, p. 460 – 463.2. Kalpakjian S. and Schmid S. Manufacturing Engineering and Technology, 6 ed. Prentice Hall, 2009.3. Boxford Machine Tools, Wheatley, Halifax, UK, www.boxford.co.uk/boxford/4. Beale D.G., Simionescu P.A. and Dyer D. “Grading and Motivation of Student Teams Working onIndustry Sponsored Mechanical Design Projects,” Proc. of the ASME IMECE, New York, November 11-16, 2001.5. American Foundry Society www.afsinc.org6. Lostfoam.com a division of Austin
professional way. We also plan to develop a detailed assessment rubric to evaluatethe effectiveness of course delivery systematically.References[1] S. Chakrabarti, M. Ester, U. Fayyad, J. Gehrke, J. Han, S. Morishita, G. Piatetsky-Shapiro, W. Wang,“Data Minig Curriculum: A Proposal (Version 1.0)”. Intensive Working Group of ACM SIGKDDCurriculum Committee, April 30, 2006. [Online] http://www.sigkdd.org/curriculum/CURMay06.pdf.[Accessed: 10-Jan-11].[2] M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, “The weka data miningsoftware: An update,” SIGKDD Explorations, vol. 11, no. 1, 2009.[3] J. Han and M. Kamber, “Data Mining Concepts and Techniques”. Morgan Kaufmann, 2006.[4] R. Ihaka and R. Gentleman, "R: A language for data
, Proposal funded by theOffice of Naval Research, Arlington, Virginia under Grant No: N00014-99-1-0969.[3] Padmanabhan, G., Davis, C. A., Lin, W., Pieri, R. V., Patterson, F., and Cobb. S., 2002. Strengthening NativeAmerican Pathways to Science and Engineering Education. Proc. of the 2002 ASEE Annual Conference andExposition, Montreal, Canada.[4] Padmanabhan, G., Lin, W., Pieri, R. V., Patterson, F., and Khan, E., 2006. A Weekend Enrichment Program forTribal High School Teachers and Students. Proceedings of the 2006 ASEE Annual Conference and Exposition, June18-21, Chicago, Illinois, USA.[5] Lin, W., Padmanabhan, G., Pieri, R. V., and Patterson, F., 2007. Experience with and Lessons Learned in aSTEM Summer Camp for Tribal College Students, 2007 ASEE
+100 Equal test; PC relative branch Branch on bne $1,$2,100 if ($1!= $2) go to PC+4+100 Not equal test; PC relative sss ssss set on less than slt $1,$2,$3 if ($2 < $3) $1=1; else $1=0 Compare less than; 2’s comp. set < imm. slti $1,$2,100 if ($2 < 100) $1=1; else $1=0 Compare < constant; 2’s comp. set < uns. sltu $1,$2,$3 if ($2 < $3) $1=1; else $1=0 Compare less than; natural numbers set < imm. uns. sltiu $1,$2,100 if ($2 < 100) $1=1; else $1=0 Compare < constant
Interest Table 1. Statements presented in the survey and what each was designed to measure.Each category was represented by three to four questions measuring it. Each question was thenduplicated for measurement against other courses students have taken at the university. Thesequestions were written identically except for the phrase “this course” was substituted by “other Page 22.168.4courses I have taken at this University”. The survey also included Felder’s Inventory ofLearning Styles [1].Missouri S&T students that were currently enrolled in an EDV course were selected toparticipate. The survey was distributed via email
. Prentice Hall, 1999.[3] Patterson, E. T. “Just-in-Time Teaching: Technology Transforming Learning – A Status Report.” Invention andImpact: Building Excellence in Undergraduate STEM (Science, Technology, Engineering, and Mathematics)Education. American Association for the Advancement of Science, 2005.[4] Gavrin, A., Eileen M. Cashman, and Elizabeth A. Eschenbach. “Special session - just-in-time teaching (JiTT):using online exercises to enhance classroom learning.” Frontiers in Education -FIE '05. Proceedings of the 35thAnnual Conference, 19-22 Oct. 2005.[5] [10] Formica, S. P., J. L. Easley, and M. C. Spraker. “Transforming common-sense beliefs into Newtonianthinking through just-in-time teaching.” Phys. Rev. ST Phys. Educ. Res. 6.2.020106 (Aug
,benchmarking with other institutions could also prove beneficial to this institution.Bibliography 1. Hall, J. 2003. “Assessing Learning Management Systems.” Chief Learning Officer. January. 2. Petherbridge, D., & Chapman, D. (2007). Upgrading or Replacing Your Learning Management System: Implications for Student Support. Online Journal of Distance Learning Administration, X(I). 3. Watson, W.R., & Watson, S.L. (2007). An Argument for clarity: What are Learning Management Systems, what are they not, and what should they become. TechTrends, 51(2). 4. Lonn, S., & Teasley, S. (2009). Saving time or innovating practice: Investigating perceptions and uses of Learning Management Systems. Computers and Education
. The TIMS-provided Page 22.203.5experiment was modified in several ways. First, a careful distinction is made between powersignal-to-noise ratio, S/N, and the energy signal-to-noise ratio, Eb/No commonly encountered forplots of bit error rate (BER). The theoretical plots are actually in terms of Eb/No, although thevalues of S/N and Eb/No are approximately equal for the signaling in this experiment. Secondly,the observation of eye diagrams with various levels of noise is done in this BER experimentrather than as a separate experiment. Another modification was to have the students observe thesignal that has a pulse at each sampling time (called
Customer (VoC) analysis was performed by interviewing the Six Sigma team andNSDs asking key questions12. From the VoC information a SWOT (Strengths, Weaknesses,Opportunities, Threats) analysis was developed that provided information that was helpful inmatching the organization’s resources and capability to the competitive environment in which itoperates. The SWOT analysis created from the VoC analysis conducted during this project ispresented in table 1. Table 1: SWOT Analysis Strengths (S) Weaknesses (W) Willingness of the NSD to make changes Unavailability of convenient technology to access and
systems made of, and that hasbeen lost by integration, miniaturization, reusability, object oriented paradigms to list a few.The work on this platform will continue and hope that it will be included at several stages in theengineering technology program to try to bring a little more insight on how embedded systemswork and their basic components. Page 22.227.11References[1] W. Hohl, ARM Assembly Language: Fundamentals and Techniques: CRC, 2009.[2] S. Furber, "ARM System on a chip Architecture," 2000.[3] J. O. Hamblen, T. S. Hall, and M. D. Furman, Rapid Prototyping of Digital Systems: SOPC Edition: Springer, 2007
had nonumerical impact on the students‟ final grades. Instead, it was used to provide feedback forimproved student learning in anticipation of the grade-determining summative final exam to betaken at the end of the semester.The seventh learning outcome, associated with preparation and participation, was assessedcontinuously via readiness tests, daily instructor observation, and a peer assessment survey givenat approximately mid-semester. In the peer assessment the members of each group anonymouslyassessed each other‟s contributions to the group work process.Evaluation: Fall 2010Evaluation of the adapted TBL strategy as implemented in Fall 2010 was done using twoinstruments: continuous observation by the instructor throughout the semester, and
: CRC Press, 2009.[8] D. G. Rickerby and M. Morrison, "Nanotechnology and the environment: A European perspective," Science and Technology of Advanced Materials, vol. 8, pp. 19-24.[9] (28 March 2011). Washington nuclear sensors capable of detecting faintest amounts of radiation. Available: http://homelandsecuritynewswire.com/washington-nuclear-sensors-capable-detecting-faintest- amounts-radiation[10] D. F. Emerich and C. G. Thanos, "Nanotechnology and medicine," Expert Opinion on Biological Therapy, vol. 3, pp. 655-663, 2003.[11] J. F. S. Jr., "Nanotechnology and Environmental, Health, and Safety: Issues for Consideration ", C. R. Service, Ed., ed: CRS Report for Congress, John F. Sargent Jr
B) Output Power POutput = Q * p where Q is flow and p is the head POutput = 0.0000225 m3/s*6.55kPa*1000 Pa/kPa = 0.147W C) Efficiency Efficiency = POutput / PInput * 100% . Efficiency = *100% = 22.3% . These results are presented in Table 5 for impeller speeds from 2010 to 3510 rpm.C. Determination of System Curve and
, American Society for Engineering Education 142 1. P. M. Fearnside, “Global Warming and Tropical Land-Use Change: Greenhouse Gas Emissions from Biomass Burning, Decomposition and Soils in Forest Conversion, Shifting Cultivation and Secondary Vegetation”, Climatic Change, 46(1-2), p. 115-158, (2000).2. “The Revised 1996 Intergovernmental Panel on Climate Change Guidelines”, http://www.ipcc-nggip.iges.or.jp/public/gl/invs1.html3. P. M. Cox, R. A. Betts, C. D. Jones, S. A. Spall and I. J. Totterdell, “Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model”, Nature 408, p. 184-187 (2000).4. M. Asif and T
Author wishes to express his gratitude to undergraduate students who kindly participated in this study. References 1. Barbuto, J. E. (2000). Developing a Leadership Perspective in the Classroom. Journal of Adult Development , 7 (3), pp. 161-169.2. Brown, L. I. (2001). A Meta-analysis of Research on the Influence of Leadership on Student Outcomes. PhD Dissertation, Virginia Tech, Department of Educational Leadership and Policy Studies.3. Cramer, S. F. (1994, Fall). Assessing Effectiveness in the Collaborative Classroom. New Direction for Teaching and Learning (59), pp. 69-81.4. Grow, G. O. (1991, Spring). Teaching Learners to Be Self-Directed. Adult Education Quarterly , 41 (3), pp. 125-149.5. Hersey, P., Angelini, A. L., &
fields oflearning. Student satisfaction is high with the current form of the Aerospace Engineering summer campprogram, and the instructors are dedicated to bringing a strong, positive experience to the high schoolstudents, with the aim of generating interest in STEM-related opportunities. The summer programs alsoAcknowledgements Funding for the development of a portion of the course materials from one of the instructors of the summer camp was based upon work supported by the National Science Foundation under Grant No. 0837009. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not