/Microsoft_Speech_API[6] S.W. Arms, C.P.Townsend, D.L. Churchill, J.H.Galbreath,S.W. Mundell. “Power Management forEnergy Harvesting Wireless Sensors,” SPIE Int’l Symposium on Smart Structures & Smart Materials, SanDiego, CA, March 2005, pp.1-9.[7] D. Rakhmatov and S. Vrudhula, Energy Management for Battery-Powered Embedded Systems, ACMTransactions on Embedded Computing systems, 2, August 2003[8] Philip Levis, David Gay, TinyOS Programming, Cambridge University Press, 2009.[9] Chris Merlin, “A Tutorial for Programming in TinyOS,” 2009, accessed on Dec. 20, 2012 viahttp://www.ece.rochester.edu/projects/wcng/code/Tutorial/TinyOs_Tutorial.pdf .[10] TinyOS community: http://www.tinyos.net
: 1. Preparing a BIM in Autodesk MEP 2. Energy Modeling in Green Building Studio 3. Data analysis in classification, association, clustering, and regression 4. Identifying a noble pattern through data analysis Process Software/output Preparing a BIM for energy Autodesk MEP simulation Energy Simulation Green Building Studio Data Analysis Identifying pattern(s) • Classification Decision Tree • Clustering Factor Selection
developed in the 1930’s and 1940’s3, 4, basic concepts of thermally coupledcolumns are not typically taught in undergraduate separations courses. Although they are taughtin some design courses, they are not included in the design courses at Mississippi StateUniversity. Due to the renewed interest in process intensification, a module on thermallycoupled columns is being added to an undergraduate separations course. Page 23.177.3ImplementationThe class is a junior level separations course that focuses on equilibrium staged operations,particularly distillation columns. This one semester course includes flash distillation, short-cutand rigorous
assessment test consists of 10 basicalgebra and Trigonometry problems with 50 points in total.Here is one question that is usually failed by low level students, and usually passed byintermediate level students: Given sin x = ¾, find tan x.Here is one question that is usually failed by intermediate level students, and usually passed byhigh level students: 250 m/s = _________mi /h. At first glance, this conversion looks easy,however, it involves simultaneous conversions both in length and in time, so it not automaticallyavailable in any calculator. Page 23.11.3Notice that many important substantive decisions are made by engineering professors:scheduling
to understand how fruitful this way of learning is andthat it is a great chance to develop competences during their own process of learning: TEACHER`S LEARNING BIOGRAPHY = HIS STYLE OF ENGINEERING EDUCATIONFollowing this simple awareness, the Education Staff for Engineering Education must betrained with the same (competence-oriented) methods as it is fruitful for the students. Thatmeans in fact: Looking to the idea of HAVIGHURST about principle of task-oriented learning[4], the curricula of Enginnering Education for the training staff must be dominated by PBE-oriented Development-tasks a core elements (Modules) of the curriculum-structure..Short Explanation: From PBL to PBEPBE as a further development of PBLProject Based Learning (PBL
: Full Report for 2009, EPA, pg 15 2. EPA Federal Register, Aug 30, 1988, Vol. 53, No. 168 3. National Solid Wastes Management Association Municipal Solid Waste Landfill Facts 2010 4. Whittier Daily News, 19 September 2012 5. NYC Environmental Justice Alliance, accessed 19Dec12 6. European Environmental Agency, modified 29 Nov 12, accessed 19Dec12 7. “Waste gasification vs. conventional Waste-to-Energy: A comparative evaluation of two commercial technologies,” Consonni, S., Vigano, F, Waste Management 31 (2012) 653-666 8. “Modeling and Control of a Waste-to-Energy Plant: Waste-Bed Temperature Regulation,” Bardi, S., Astolfi, A, IEEE Control Systems Magazine, (December 2010) pp. 27-37 9. MUNICIPAL
conservation as well asdevelopment of renewable energy resources must be vigorously pursued in order to find asolution to this dilemma. The entire public must be vested towards making a transition from afossil fuel based society to one that utilizes a far greater amount of renewable energy resources.According to Elder (2009) “Higher education has a critical role to play in this transition, much asit did during the space race of the 1960s. Our colleges can - and must - help students understandthe complex connections and interdependencies among our environment, energy sources, andeconomy - all of which underpin the green movement.”[1]The present situation is very similar to the 1960’s when the entire country was unified towardsplacing a man on the moon
decades in engineering textbooks and journals.Proximity in Printed Engineering TextbooksA study was conducted to quantify the proximity of text, figures, equations, and tables in severalcurrent-edition printed textbooks used in civil engineering. Four textbooks were selected that aremarketed for undergraduate steel design courses. The textbooks used for the study are listed inTable 1.Table 1 Textbooks used for proximity studyAuthor(s) Title Length (pgs)William T. Segui Steel Design (5th Edition) 752Jack C. McCormac Structural Steel Design (4th Edition) 692Louis F. Geschwindner Unified Design of Steel
sought. Robotic applications seemed a logical choice in programming, andhave become a popular educational vehicle in recent years. So a low cost robotic applicationwas sought for a pilot course taught in the summer of 2012.Robots have been used in education for some time. Penn State began using robots of its owndesign in its freshman program in the mid-1990’s. Typical sub-group size was kept about threestudents with good success.7 Northeastern University also uses project base learning, andincorporates semi-custom kits to teach programming and electronics. The hands-on approachwas met with a high degree of student approbation.4Louisiana State University uses project based freshman courses that include programmablecontrollers and small robots.2
above, and will allow continuous monitoring of the Hadoop Page 23.1181.13cloud computers at a relatively low cost. 12AcknowledgementStudents participated in this study were supported by a grant from the University of the Districtof Columbia STEM Center (NSF/HBCU-UP / HRD-0928444), Washington, D.C. 20008 andfrom a grant from the National Science Foundation Targeted Infusion Project Renewable EnergyGrant (NSF/HBCU-UP/ HRD-1036293).References:[1] P3 International Corporation, Innovation Electronics Solution, 2011.[2] Tweet-A-Watt/Kill-A-Watt from Adafruit Industries, 2009.[3] S. Lakeou, E. Ososanya, B
Foundation (NSF) for supporting this project: A SynergisticApproach to Prevent Persistent Misconceptions with First-year Engineering Students (EEC-1232761). 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 NSF.Reference1. Prince, M., Vigeant, M., & Nottis, K. Assessing misconceptions of undergraduate engineeringstudents in the thermal sciences. International Journal of Engineering Education, 2010, 26(4),880-890.2. Yang, D., Streveler, R. A., &Miller, R. L. Can instruction reinforce misconceptions?Preliminary evidence from a study with advanced engineering students. Paper presented at theAnnual Meeting of the American Educational
Conference.4. Richardson, J., and J. Dantzler. 2002. “Effect of a freshman engineering program on retention and academic performance.” ASEE/IEEE Frontiers in Education Conference.5. Sheppard, S., and R. Jenison. 1997. “Examples of Freshman Design Education.” International Journal of Engineering Education, 13(4), 248-261.6. Board on Science Education. 2012. A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas. Washington, DC: The National Academies Press, 2012.7. Carr, R. L., Bennett Iv, L. D., and J. Strobel. 2012. “Engineering in the K-12 STEM Standards of the 50 US States: An Analysis of Presence and Extent.” Journal of Engineering Education, 101(3), 1-26.8. Dym, C. L. and P. Little. 2004
to the present day requirement and accessingthe limited space available in house. Quantification of rehabilitation program based on gait dataof patient in real time will certainly increase the efficacy and suggest new methods for patients toreach the near natural gait. Wireless sensor modules were developed which can be attached to thePHAS or the patient. The modules are portable and have onboard power. These modules can alsobe used to record the range of joint motion of any human body segment with little modification.The gait data was reported on a normal healthy person acts as a reference database.References: 1. Leonard E. Kahn, Peter S. Lum, W. Zev Rymer and David J. Reinkensmeyer, Robot- assisted movement training for the stroke
the influx and progression of K-12students through graduate school in programs that lead to computing careers. This material isbased in part upon work supported by the National Science Foundation under Grant NumberCNS-0540492. 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 NationalScience Foundation.Bibliography1. Fiegerman, S. (2010). The Dumbest States in America. Jan 21, 2010. Retrieved from http://www.mainstreet.com/slideshow/lifestyle/smartest-dumbest-states.2. Shahami, M. (2008). Overview of the New Undergraduate Computer Science Curriculum. Stanford Research Institute, http://www.stanford.edu/class/cs298
Curriculum Curriculum flexibility. The extent to which faculty have control of the content and structure of the course(s) they teach E 17 Physical classroom layout. The structure of the physical classroom space E 8 Class size. The number of students in the classroom E 3 Personal Disposition Passion for teaching. The level of interest faculty have for
hour completionpercentage, number of courses with D or F grades as of Fall midterm, and credit hours attemptedin the spring term. The predictive results showing at-risk students are used to make interventionattempts. Raimondo22 described analysis at the University of Michigan to assess within classperformance by students and offer guidance via a digital resource called “E2Coach”s to assistthem in improving their performance trajectory. McKay23 has used E2Coach to interact withphysics students predicted to be at risk of not succeeding and provide tailored feedback to allenrolled students that they can use to adjust their strategy in the course.Universities have constrained resources including enrollment capacity, faculty, staff, lab space,etc
-148.6. M. J. Karcher, G. P. Kuperminc, S. G. Portwood, C. L. Sipe and A. S. Taylor, Mentoring programs: A framework to inform program development, research, and evaluation, Journal of Community Psychology, 34(6), 2006, pp. 709-725.7. H. J. Mitchell, Group mentoring: Does it work?, Mentoring & Tutoring, 7(2), 1999, pp. 113-120.8. E. S. Scott and S. D. Smith, Group mentoring: A transition-to-work strategy, Journal for Nurses in Staff Development, 24(5), 2008, pp. 232-238.9. T. Waller, S. Artis and B. Watford, The Pact: A framework for retaining 1st year African- American engineering men, ASEE Annual Conference & Exposition June 24-27, 2007 of Conference.10. S. Davis, G. Jenkins and R. Hunt
hosts, optimized for kids to play on their cell phone or other mobile device);• mini-design contests that ask kids ask for quick creative solutions to small-scale projects;• a “Sketch on Sketch” website feature that enables kids to contribute their own design ideas to those of other kids;;• an overarching game where kids earn points for contributing their ideas and participating in challenges, designed to sustain engagement and provide motivation to keep building and sharing,.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No.1129342. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily
appreciate the lab experience.While all these topics are addressed in the class, with supporting data, and examples, the lab onlyaddresses a subset of these concepts.The lab is designed around the idea of the time-machine in the movie “Back to the Future”. Asmall microcontroller is connected to two analog input devices—representing the brake andaccelerator of the DeLorean Sports car/time machine used in the movie. The microcontrollerincludes web server hardware and software and it serves up a dynamic web page. Thespeedometer of the DeLorean is displayed on a web page both as an analog speedometer dial andas a digital display.There was some concern that since the movie trilogy was released in the 1980’s, that many of thestudents would be unfamiliar
work on promoting adoption of the SDR lab atother institutions once it is fully developed and tested. ACKNOWLEDGMENTSThis work is supported in part by the US National Science Foundation (NSF) under Grants DUE-1044021 and CNS-0953513, and through the NSF Broadband Wireless Access and Applicationcenter (BWAC) Site at Auburn University. Any opinions, findings, and conclusions or Page 23.822.11recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the Foundation. REFERENCES[1] J. Mitola, “The software radio
education at NC State, ASEE Southeast Section Conference.3. Peercy, P. S. and Cramer, S. M. (2011). Redefining quality in engineering education through hybrid instruction, Journal of Engineering Education, 100(4), pp. 625–629.4. National Academy of Engineering (2012). Infusing real world experiences into engineering education, The National Academies Press, Washington, DC, www.nap.edu.5. ASEE (2012). Innovation with impact: creating a culture for scholarly and systematic innovation in engineering education, http://www.asee.org/about-us/the-organization/advisory-committees/Innovation-with-Impact.6. ASEE (2012), Going the distance: best practices and strategies for retaining engineering, engineering technology and
, and farther from their day-to-day needs. Eventhough each individual house may have increased insulation, better windows, and high efficiencyheating and cooling systems, the total energy use goes up because of the larger size, greaternumber of electrical gadgets, and farther travel distances. More generally, this tendency forincreases in efficiency to lead to greater energy use is called the Jevons Paradox.2 These trendsare illustrated in Fig. 1. House size increased slowly through the 1980’s and then more rapidly inthe 1990’s and 2000’s. Because housing codes and building practices generally improved theefficiency of houses with time, the energy use per square foot steadily declined. From the 1970’sto the 1980’s, total household energy use
25 Irradiance (W/m2) 10000 600 20value 8000 Wind speed(m/s) 400 15 6000 4000
. lab)? - How does our study relate to others in terms of student programs of study and the size of the project database? - Does attending the first class have any correlation with the final grade?These and other aspects related to attendance and student success will be evaluated in the future.Additional data collected from new courses will be incorporated into the project database witheach passing quarter and the database will continue to grow. The project team will publish resultsfrom future studies in hopes of establishing a useful dialogue in higher education on the aspectsof attendance.Bibliography 1. Armstrong, J. S., 2012, “Would Mandatory Attendance be Effective for Economics Classes,” retrieved December
the number of wires that you have to connect. Typically, groups of 5 holes are Each vertical group of 5 holes is connected. Every hole in this horizontal line is connected.The prelab asks students to find an expression for the transfer function Y(s)/U(s) for the systemfrom the equations in the Appendix, given the following system parameters: L = 1 m, xr = 0.25m, xf = 0.1 m, T / 1 m/s. Only look at the first five modes, that is, let n=5.Students are also asked to plot the frequency response of the vibrating string versus frequency in
higher education both in Australia andabroad.Bibliography[1] R. Barnett, G. Parry and K. Coate, “Conceptualising Curriculum Change”, Teaching in Higher Education, vol. 6, no. 4, pp. 435-449, 2001.[2] O. Hicks, “Curriculum in higher education in Australia – Hello?”, in Enhancing Higher Education, Theory and Scholarship, Proceedings of the 30th HERDSA Annual Conference [CD-ROM], Adelaide, 8-11 July, 2007.[3] R. S. Adams and R. M. Felder, “Reframing Professional Development: A systems Approach to Preparing Engineering Education to Educate Tomorrow's Engineers”, Journal of Engineering Education, vol. 97, no. 3, pp. 239-240, 2008.[4] K. Charmaz, “Grounded Theory”, Rethinking Methods in Psychology, J. A. Smith
., "Development of an educational environment for online control of a biped robot using MATLAB and Arduino," Mechatronics (MECATRONICS) , 2012 9th France- Japan & 7th Europe-Asia Congress on and Research and Education in Mechatronics (REM), 2012 13th Int'l Workshop on , vol., no., pp.337,344, 21-23 Nov. 2012 [3] Neto, J. M.; Paladini, S.; Pereira, C.E.; Marcelino, R., "Remote educational experiment applied to electrical engineering," Remote Engineering and Virtual Instrumentation (REV), 2012 9th International Conference on , vol., no., pp.1,5, 4-6 July 2012 [4] Ogawa, H.; Oguntoyinbo, B.; Tochi, K.; Naoe, N., "Electric vehicle project for introduction to engineering Creation Experiment
(Brundtland Report). Oxford: Oxford University Press.2 Blewitt, J., & Cullingford, C. (Eds.) (2004). The Sustainability Curriculum: The Challenge for Higher Education.Earthscan: London, UK.3 Shephard, K. (2010). Higher education’s role in ‘education for sustainability’. Australian Universities Review,52(1), 13-22.4 Corcoran, P. B., Walkerm K. E., & Wals, A. E. J. (2004). Case studies, make-your-case studies and case stories: Acritique of case-study methodology in sustainability in higher education. Environmental Education Research, 10(1),7-21.5 Groat, L., & Wang, D. (2002). Architectural Research Methods. John Wiley and Sons, Inc.: New York, NY.6 Wiek, Arnim; Ness, B.; Brand, F. S.; Schweizer-Ries, P.; & Farioli, F. (2012). From
undergraduate diversity (ROSE-BUD) program funded by an NSF S-STEM grant to increase the recruitment, retention and development of underrepresented popula- tions in electrical and computer engineering. She has approximately 20 peer-reviewed publications with two in the Computers in Education Journal. She also recently published a book on Mobile Robotics for Multidisciplinary Study.Dr. Deborah Walter, Rose-Hulman Institute of Technology Dr. Deborah Walter is an Associate Professor of Electrical and Computer Engineering at Rose-Hulman Institute of Technology. She teaches courses in circuits, electromagnetics, and medical imaging. Before joining academia in 2006, she was at the Computed Tomography Laboratory at GE’s Global
and presentedin Figure 4 indicates that students have different modes of attention. As examples, considerparticipant O-01802, who remains on-task for a majority of lecture, but occasionally “checks out”of lecture. Compare participant O-01802’s behavior with O-11801 who is mostly off-task, butoccasionally “checks in” to lecture. We also observe various on-task and off-task durationperiods. For example, participants O-02802 and O-03803 have long on-task duration periodswhereas O-05801 and O-05802 have very short on-task periods. Participant O-07802 is off-taskfor nearly the entire lecture (on-task for only 4% of lecture), while participant O-06801 is on-taskfor the entire lecture. On-task duration period, amount of task switching, and overall