account it will only be accurate when there is no load applied to the system, however,after this step the PID controller is used for fine-tuning the speed.BatteryFor programming purposes the state of charge (SOC) of the battery is calculated as: ܳ ܱܵ= ܥ + ܱܵܥ (9) ܥ௧where Q is the amount of charge that has entered the battery, ܥ௧ is the capacity of the battery(1.4Ah) and SOC0 is the previous state of charge. The amount of charge that has entered thebattery is: ܳ = න ݅௧ ݀ݐ (10)where ݅௧ is
understanding. By including reflective writing, teachers can promotehigher order critical thinking and return responsibility for learning back to the students. While itis true that rote practice is still essential in mathematics, the developers stress that evenimplementing parts of an EFFECT are an excellent way to engage students and start thedevelopment process of creating entire units of study designed around the EFFECT framework.References[1] EFFECTs Web page: http://sdii.ce.sc.edu/effects/?q=node/14[2] Mason, Gregory S.; Shuman, Teodora Rutar; Cook, Kathleen E. “Comparing the Effectiveness of an InvertedClassroom to a Traditional Classroom in an Upper-Division Engineering Course” IEEE TRANSACTIONS ONEDUCATION 56 (4), 430-435, 2013.[3] Latterell
mechanicsof the solutions. These graphs are then tied to the SolidWorks simulation results as shown in Figs.2 and 4.Introducing Lagrange’s EquationsIn addition to these standard difficulties, the authors have added the challenge of teach partialderivatives by teaching the equations of motion via Lagrange’s equations.5 Lagrange’s equations,particularly for conservative mechanical systems, are relatively easy to implement for sophomoredynamics students. The equation has the form d ∂T ∂T ∂V − + = 0, (1) dt ∂ q˙j ∂qj ∂qjwhere T is the kinetic energy of the system, V is the potential
and Braun (2010) observed that many dyslexicstudents innately approach problems from a three-dimensional perspective2. So when a dyslexicstudent is presented with an unfamiliar object, he may have a natural ability and predisposition toexamine the object from various angles and perspectives in his mind, without ever movinghimself or the object. The ability to reason three-dimensionally may lead a dyslexic student to beable to view the opposite side of an object in his mind, based on observations concerning thefront of the object and his previous knowledge. This special reasoning skill is extremely usefulin engineering. Language, however, is two-dimensional; the tendency to reason in threedimensions can lead a “b” to look like a “d”, “p” or “q
. 23% 10I enjoy discussing course ideas online. 26% 11I receive credit (or a bonus) for participating in discussion. 5% 2Table 4. Mediating factors that inhibit participation.Q2 Which of the following factors influence your decision NOT TO USE (TO IGNORE) thediscussion board? (I.e., which of these factors dissuade you from participating. Statements mayrefer to posting questions or replies.)Question Response Item % Responding N RespondingReading other students' Q&A postings is enough. 30% 13I do well in class and have no questions. 5% 2I
partners. Metropolitan Universities Journal; 20(2), 87-103. http://scholar.google.com/scholar?q=Why+Faculty+Promotion+and+Tenure+Matters+to+Community+Part ners&hl=en&btnG=Search&as_sdt=1%2C10&as_sdtp=on4. Gappa, J. M., Austin, A. E., & Trice, A. G. (2007). Rethinking faculty work: Higher education’s strategic imperative. San Francisco, CA: Jossey-Bass.5. Glass, C. R., Doberneck, D. M., & Schweitzer, J. H. (2011, March). Unpacking faculty engagement: The types of activities faculty members report as publicly engaged scholarship during promotion and tenure. Journal of Higher Education Outreach and Engagement, 15(1), 7-31
we can obtain the grade of membership of a set in regard toanother set; in our case, the grade of membership of an individual profile with respect to an ideal Page 24.1009.8profile. We assimilate those grades as truth values that are in the interval [0,1]. Relationships arerepresented through rules “if ... then”; thus, truth values can be calculated with some T-normsor S-norms, as these kind of relationships (p → q) can be represented in terms of ∧ and ∨,respectively.13In this work, we use some fuzzy implications in order to find the values of the compliance levelof a common node from both trees, individual profile and ideal profile. This
&q=&esrc=s&source=web&cd=1&ved=0CDkQFjAA&url=htt p%3A%2F%2Fifap.ed.gov%2Ffsahandbook%2Fattachments%2F0910FSAHbkVol2Ch1School.pdf&e i=ZRnCUt_INYmuyQHu54HACw&usg=AFQjCNG_lqxZvURlglb4- 01XQlI_kydtvA&bvm=bv.58187178,d.aWc 4. IUPUI Institutional Reports. (2013). Retrieved December 28, 2013, from http://reports.iupui.edu/render.aspx/INSTITUTIONAL%20DATA/RSPINC/IUPUI 5. Indiana Commission for Higher Education. (2013). Retrieved December 28, 2013, from http://www.in.gov/che/ 6. Pande, P., Neuman, R., and Cavanagh, R. (2002). The Six Sigma Way: Implementation Guide for Process Improvement Teams. New York, NY: McGraw-Hill 7
on the course shell at http://devryu.net7. Daniel Cross-Cole, ‘Construction Notes for Robotic Car’ document, DeVry University, available on the course shell at http://devryu.net8. Embedded Microcomputer Systems – Real Time Interfacing, 3rd ed., Valvano, J. © 2012 Stamford, CT: Cengage Learning9. Totally Autonomous Binary Yaw (TOBY) car, report by Aaron Wright, Arturo Torres and Juan Rodriguez in their project manual, October 201310. The Black Dragon (Line Following Robot), report by Malcolm Q Guidry Submitted in Partial Fulfillment of the Course Requirements for ECET- 365, October 2013 Page 24.1012.11
. Network motif analysis is light-weightsolution that is capable of evaluating large amounts of educational data in educational platformsthat cater to the need of many students (such as MOOCs) and rely on the participation of masses(Q&A sites and online communities). The proposed approach will resolve some assessmentchallenges in examining student participation across different bodies of social groups and onlineengineering spaces. In online environments that host thousands of engineering learners, networkmotif analysis will offer descriptive accounts of recurring interaction patterns between novicesand experts, as well as consistent forms of interactions between groups of engineering learnersthat is indicative of sustained participation in
? Documenting the effect of usability sessions on novice software designers. J Res Comput Educ. 2001;33(3):235 – 250.12. Scott JB. The Practice of Usability: Teaching User Engagement Through Service-Learning. Tech Commun Q. 2008;17(4):381–412.13. Mohedas I, Daly SR, Sienko KH. Characterizing Students’ Use of Design Ethnography in a Capstone Design Course. Int J Eng Educ. 2014. In Press.14. Zoltowski CB, Oakes WC, Cardella ME. Students ’ Ways of Experiencing Human-Centered Design. J Eng Educ. 2012;101(1):28–59. Page 24.1126.915. Creswell J. Research design: Qualitative, quantitative, and mixed methods approaches
havebeen on Tuesdays. Those Tuesday slots were converted to “open office hours”, in that theinstructor would be available in the classroom, with OLI access, to answer questions. The OLImodule quizzes (typically two each week) were scheduled to straddle the Tuesday Q&A and theThursday recitation sessions. This provided convenient opportunities every week for thestudents to get answers to their questions shortly after each OLI quiz.The students were required to buy the two textbooks used in previous years. One was atraditional statics textbook; the other was an economical book of distilled concepts and workedproblems. The students had required readings from both books, aligned with each module.Assigned homework problems came from both textbooks
aseriousness in listening to the oral presentations beyond what the instructor has seen forconventional term paper oral presentations. The peer review exercise coupled with the highlyinvolved term project provided added technical depth to the course. A higher level of interactionamong students in the classroom was observed as compared to a conventional classroom. Thehigh level of interaction was particularly evident during Q&A session of the oral presentationswhere familiarity with manuscript content was apparent.In addition, the peer review promoted improved student writing skills (and personal reflection ofthese skills) that benefitted students for activities following the class including entering industryworkforce or pursuing graduate education
W = power (kW, 1, 300)Heat Exchangers log10 (purchased cost ) 4.6 0.8 log10 A 0.3log10 A2 A = heat exchange area (m2, 20, 1000) Estimate the area based on Q UAT with U = 5000 W/m2·ºC for a feedwater heater U = 500 W/m2·ºC for the condenser U = 25 W/m2·ºC for the high temperature heat exchangerTurbine log10 (purchased cost ) 2.5 1.45 log10 W 0.17 log10 W2 W = power (kW, 100, 4000)Utility Costs Electricity $0.06/kWh Cooling Water $0.354/GJEquipment Cost FactorsTotal Installed Cost = Purchased
Journal of Pharmacology & Experimental Therapeutics, vol. 280 Modeling, KAM '08, pp. 684-688, Institute of Remote Sensing , no.3, pp. 1471-1479 , 1997. Application, Chinese Academy of Sciences, Beijing, China, 2008. [23] K. Zhang, H. Song, and L. Zhang, “Active contours driven by[16] N.Salman and C. Q. Liu, “Image Segmentation and Edge local image fitting energy,” Pattern Recognition, vol. 43, no. Detection Based on Watershed Techniques,” International 4, pp. 1199-1206, 2009. Journal of Computers and Applications, vol. 25, no. 4, pp. 258- 263, 2003.[17] S. Beucher and F. Meyer,”The morphological approach to segmentation: The watershed transformation
discussion of plans for ongoing and future work. Both Survey Instrument 1 and Survey Instrument 2 were administered as a pre-intervention to assess the students’existing conceptual frameworks at the beginning of the course. Groundwater Flow - Darcy’s law provides an accurateThe intervention in this context refers to lectures and class description of the rate of ground water flow (Q) determinedactivities to familiarize the students with hydrologic by head loss (dh), the hydraulic conductivity (K), the cross-engineering concepts; there was no attempt to review the sectional area
. [9] M. D. Tran, A.; Nix, A., “Mobile WiMAX MIMO performance With its promising features, WiMAX seems a natural analysis: Downlink and uplink,” IEEE 19th International Symposium, answer to the rising demands of consumers. Its rate of speed pp. 1 - 5, 2008. and reliability are able to offer users quality of service, [10] R. W. A.-Q. Aldhaheri, A.H., “Performance analysis of fixed and mobility, and dependability that they demand in the globalized mobile WiMAX MC-CDMA-based system,” Wireless Communication and mobile age of technology. Systems (ISWCS), 2010 7th International Symposium, pp. 436 - 440
. For example lactoferrin in earwax (cerumen) and approaches in metalloprotein structural and functional characterizationused in immunotherapies, etc would be favorable EXAFS Curr Opin Chem Biol. Feb;15(1):144-8.samples for direct functionality probe [9, 10], or using EXAFS [2] Huang Z, Chen T, Lei M, Hu T, and HUANG Q. “EXAFS study ondata as calibration for optical probe [11]. Our EXAFS work arsenic species and transformation in arsenic hyperaccumulator.”,done in Brookhaven using the current synchrotron technology Science in China Ser. C Life Sciences 2004 Vol.47 No.2 pp124-129.shows that earwax sample of about 0.5-mm in size is sufficient [3] Straczek A, Sarret G
. Where p is pressure in pascals, or N/m2 and Q is volumetric flow rate in m3/s in SI units. [6] IX. CALCULATION AND ANALYSIS Below is the set of equations that the team will use to analyze Figure 8: Sensor ring and assist the robotic arm: 7) 12.2.7 Control chips Some micro-controlling chips will be located at theback of the suit in order to control the motion of the fluidicmuscles. Figure 9: Control chips VIII. 15.0 MECHANICAL POWER CALCULATION
: , 3 , ∑ , Where, P(N)q,r is the energy power of each neighbor node ‘u’ to forward the packet destination ‘r’ at node ‘n’ and ‘K’ is total number of neighbor nodes. ‘C’ is pheromone threshold that is Figure 1. Proposed simulated scenario for handling the devices from constant. Ps is the level of
. Mukhopadhyay and D.N. Pinder, “Teaching engineering electromagnetics to information and communication engineering students at Massey University,” [Online] Available: http://itee.uq.edu.au/~aupec/aupec03/papers/012%20Mukhopadhyayfull% 20paper.pdf[4] H. Xie, Y. Liang, and Q. Wang, “A laboratory measurement method of radiation pattern,” New York: Springer-Verlag, 2012.[5] N.N. Rao, “PC-Assisted Instruction of Introductory Electromagnetics,” IEEE Tran. Educ., vol. 33, pp. 51-59, Feb. 1990.[6] M.F. Iskander, “Technology-Based Electromagnetic Education,” IEEE Tran. Microwave Theory and Techniques, vol. 50, pp. 1020, March 2002.[7] Z. Raida, “Internet Support of Education in Antenna and Microwave Techniques,” [Online]. Available
: ….. (1)The electrostatic force q(x) between the resonant beam and theelectrode depends on the deflection of the beam at anydistance x, along the beam. Assuming a square-law curvaturefor the beam deflection, the load distribution along a beam oflength L is given by[8]:Using the conventional beam theory[9], the trip deflection Figure 5. Resonant frequency versus the length of the beamunder partial loading is given by: The curve shows this relationship between the resonant ….. (3) frequency and the length of the beam. It is easy to see that theCombining equations (2) and (3) we can obtain: resonant
, which involves flipping the classroom and providing systematic TAs andULAs assistance in a laboratory setting to increase student involvement in the educationalprocess. We have shown that the techniques described here have increased student learning,retention, and engagement. We have also briefly described future steps for further improvingstudent learning, which we are implementing in the next several semesters.Bibliography1. Noonoo, Stephen, “Flipped Learning Founders Set the Record Straight,” T.H.E Journal, 20 June 2012, http://thejournal.com/articles/2012/06/20/flipped-learning-founders-q-and-a.aspx.2. D2L, Desire2Learn website, http://d2l.arizona.edu3. AAU STEM initiative website http://www.aau.edu/policy/article.aspx?id=12588
Corbett. "An Innovative Approach to Secondary Mathematics for Engineering and Science," Proceedings of Frontiers in Education Conference, 2013, Oklahoma City, OK.[19] Shadaram, Mehdi, Brandy Alger, and Mauli Agrawal. "Implementation of Just in Time and Revamped Engineering Math Courses to Improve Retention and Graduation Rates." Proceedings of Frontiers in Education Conference, 2013, Oklahoma City, OK[20] Reid, Kenneth, David Reeping, Tyler Hertenstein, Graham Fennel, and Elizabeth Spingola. "Development of a Classification Scheme for “Introduction to Engineering” Courses" Proceedings of the Frontiers in Education Conference, 2013. Oklahoma City, OK.[21] Aung, K, Underdown, R. Qian, Q. "K-12 Engineering Education Priorities
between the vertical section and the first horizontal section of pipe. The pumpcurve is hp = (100 - 0.01Q2), where hp is the pump head in feet, Q is the flowrate in gpm, and is a dimensionless parameter that specifies the size of pump/motor combination chosen ( canhave any value between 0 and 10). The cost of the pump/motor is $700.If the flowrate at each exit is 10 gpm, determine the pipe diameter that minimizes the totalsystem cost. Also calculate the pump inlet pressure (in psig), and the power required (in hp) ifthe pump/motor has a combined efficiency of 70%.This problem can be solved using EES, but there are several numerical issues that must beconsidered. Since EES is an iterative solver, it may or may not converge. In addition
degree Celsius. You will have one laboratoryperiod to complete all experiments necessary. The following materials will be available for use:an insulated container water at near 100°C (a hot plate)beakers a brass objecta thermometer a steel objecta balance threadwater at 0°C (unlimited ice) tongsNo other materials are allowed.The first law of thermodynamics will be helpful to you as you think about designing yourexperiments. Remember (from material and energy balances) that for a closed system U E K E P Q Wwhere
Brick Classroom Techniques Highly Structured on Cloud Instruction (edX’s (Two sessions per week, 75 minutes each) MIT6.002x) Mental ramp-up (10 minutes) (Two sessions per week, 3 to 5 hours each) Students turn in survey evaluation of on cloud Lecture video snippets (Total averaging 90 minutes, topics, TAs identify and inform the instructor each less than 10 minutes in duration). of which material needs further explanation Theory. Q and A on materials covered in the cloud to Demonstration. gauge student understanding Applications
–52.28. Patton, M. Q. (2002). Qualitative evaluation and research methods (3rd ed.). Newbury Park, CA: Sage.29. Thomas, D. R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27, 237-246. Page 24.461.14
365.33 436.33 61.00 $85,842,104 100 O 94.33 482.33 301.00 20.00 $10,266,666 100 P 146.67 731.67 228.00 74.00 $48,452,394 99.61 Q 105.00 262.00 239.00 49.00 $74,392,134 99.38 R 200.00 646.67 382.33 132.67 $150,514,179 99.37 S 37.33 128.00 133.00 4.00 $2,155,104 98.58 T 377.67 1294.33 916.00 236.33 $188,390,621 98.39 U 278.00 1029.00 457.00 191.33 $161,379,281 98.37 V 49.33 169.00 205.00 2.33 $1,939,628 97.09 W
, Fong Mak, and Sunil Tandle, “Virtual Instrumentation Interfaces for Real-Time Control and Display of Electric Machine Drives,” Proceedings of the 2008 ASEE conference, Pittsburgh, PA, June 2008.22. Q. Zheng, R. Sundaram, and F. Mak, “Design and Delivery of the Graduate Course on Electronic System Integration,” Proceedings of the 41st ASEE/IEEE Frontiers in Education (FIE) conference, October 2011. Page 24.503.14