consisted of five sequential lab activities in five consecutive weeks: the studentswere required to: 1) calibrate the level sensors and the pump; 2) model the coupled-tanks process with a transfer function; 3) obtain a closed-loop transfer function that satisfies the system performance requirements; 4) determine the controller’s transfer function Gc(s) and convert the transfer function into a difference equation that can be implemented as a digital controller on a computer; and 5) integrate the controller with the sensors, the pump, and the coupled-tanks apparatus to test and analyze the entire system’s performance.Each of these five activities is detailed in subsequent sub-sections. To help the students visuallyunderstand the
research and a fertile newway to understand the underlying social, motivational, and cognitive dimensions of conceptualchange.References 1. Streveler, R., T. A. Litzinger, R. L. Miller and P. S. Steif (2008). Learning conceptual knowledge in the engineering sciences: Overview and future research directions. Journal of Engineering Education 97(3). 2. Brown, S. and D. Lewis (2007). Student Understanding of Normal and Shear Stress and Deformations in axially loaded members. ASEE Annual Conference & Exposition, Louisville, KY. 3. Brown, S., D. Montfort and K. Findley (2007a). Development, Implementation, and Assessment of a Bending Stress Tutorial. ASEE/IEEE Frontiers in Education Conference. Milwaukee, WI
. Figure 4. Participant 1’s (KAI score = 72) concept sketchesParticipant 2 (KAI Score= 88). Participant 2 was the second most adaptive student in ourexperimental group, with a 16-point style difference (in the more innovative direction) withParticipant 1. Prior research has identified the “just-noticeable-difference” (JND) for KAI as 10points (Kirton 2011), meaning that differences of 10 points or more between two individuals’cognitive styles will be noticeable over time (by the individuals themselves and those aroundthem). Participant 2 generated four concepts, which also appeared to be modifications of existingsolutions; however, he was more elaborate and detailed in his sketches than Participant 1 (seeFigure 5). His first concept was a sitting
did not altertheir features dramatically. However, this also allowed him to propose ideas that would haveimmediate efficiency, as they relied on existing, practical solutions. Figure 4. Participant 1’s (KAI score = 72) concept sketchesParticipant 2 (KAI Score= 88). Participant 2 was the second most adaptive student in ourexperimental group, with a 16-point style difference (in the more innovative direction) withParticipant 1. Prior research has identified the “just-noticeable-difference” (JND) for KAI as 10points (Kirton 2011), meaning that differences of 10 points or more between two individuals’cognitive styles will be noticeable over time (by the individuals themselves and those aroundthem). Participant 2 generated four
) $2061 $2062 $2063 Figure 5. Memory utilization for FIR filter implementation.Each filter is implemented in a fixed-point format3-5 in which each data contains 15 bits formagnitude and 1 bit for sign bit (Q-15 format). The 2’s complement form is used for any Page 22.1384.6negative number. The designed FIR filter coefficients are quantized into 16 bits as following: b0 0.006 215 197 , b1 0.0493 215 1615
from an open valve connected at one Page 26.107.4end of the tube so that the two fluids did not mix. Orange dye was used to color the bottom layerof salt water and blue dye was used to color the top fresh water layer in order to create a visibleinterface between the two fluids. The tube was slowly tilted off the horizontal to an 8° tilt angle in3.5 s. Waves developed after the tilt angle had been set and the growth of the waves is visible inFigure 3. When the tube has reached the 8° tilt angle, we see that the displacement of theinterface between the two fluids is most evident at both ends of the tube and that the interface inthe middle section
technologie supérieure, Montréal, Québec, Canada during the course of Basic LinearControl Systems.The circuit under study is shown in Figure 5.Figure 5 Circuit under studyTheoretical ReviewFollowing an appropriate network analysis method, it can be concluded that the transferfunction of the circuit is expressed as: Kω 2n G (s) = 2 , (1) s + 2ζω n s + ω 2nwhere: K = 1, 1 2 − ( Ra / Rb ) ωn = , and ζ = . RC 2
448In all evaporations, the evaporants used were aluminum clips, approximately 0.5” in length andpre-bent into a v-shape.MethodologyFollowing a broad review of available processing schemes including many specifically tailoredfor vastly different configurations of evaporation equipment, two approaches to powersequencing were investigated [6] [7]. These approaches are explained in Table 2. Power levelswere specified as a percentage of the user-defined maximum input into the Sycon controller.Observations and Experimental FindingsMethod 1: Manual Linear IncreaseWith this method, the general trend was long deposition times of 30 minutes or more, lowdeposition rates (typically below 5 Å/s), and poor reproducibility. Evaporations from a singlefilament
Education. 6. An extension of the FIE 2013 article comparing the engineering fields with the largest enrollments but smallest percentage of women, namely Electrical and Mechanical Engineering is also being considered. This was not originally planned in the proposal but has been a useful analysis.Finally, a consideration of the exchange between Mechanical and Aerospace Engineering is thefocus of an ASEE 2014 conference paper.7Publications Related to this GrantM. K. Orr, S. M. Lord, R. A. Layton, and M. W. Ohland, (in press). Student Demographics andOutcomes in Mechanical Engineering in the U.S.. International Journal of MechanicalEngineering Education.M. Madsen Camacho and S. M. Lord (2013). Latinos and the Exclusionary Space of
associated with the first example will be used to develop a model of the reactionkinetics of nicotinic acetylcholine receptors at the postsynaptic membrane of the neuromuscularjunction.A. Ligand-Receptor Interaction Figure 1 is a diagram of a simple ligand-receptor interaction where the rate constants kf (M-1 -1 s ) and kr (s-1) model the reaction associated with the ligand binding to the receptor and thereverse dissociation reaction respectively. The associated equilibrium reaction and the concomitant reaction rate equation are shown in(1) where R is the number of unoccupied receptors per cell, L is the free ligand concentration(M/dm3) and C is the number of bound receptor ligand complexes per cell
, S. Das, S. A. Yost, ”Team-Oriented, Project-Based Instruction in a New Mechatronics Course,” Proceedings of the IEEE/ASEE Frontiers in Education Conference, San Juan, Puerto Rico, Nov. 1999, pp. 13d4/1-13d4/6.2. S. Das, S. A. Yost, M. Krishnan, ”Effective Use of Web-Based Communication Tools in a Team -Oriented, Project-Based, Multidisciplinary Course,” Proceedings of the IEEE/ASEE Frontiers in Education Conference, San Juan, Puerto Rico, Nov. 1999, pp.13a2/14-13a2/17.3. S. A. Yost, M. Krishnan, S. Das, “Mechatronics: A Comprehensive, Interdisciplinary Curriculum Development Initiative,” Proceedings of the IEEE/ASEE Frontiers in Education Conference, San Juan, Puerto Rico, Nov. 1999, pp. 13a1/1-13a1/1.4. L
Equation 1. volume of swollen gel Q= (1) volume of dry polymerThe tensile modulus is related to the tensile stress and the equilibrium polymer volume fractionas given by Equation 2 = G v2,s-1/3 (2)where G is the tensile modulus, α is the elongation, τ is the tensile stress, and v2,s is the Page 24.797.16equilibrium polymer volume fraction in the gel (1/Q). G can be found from the slope of a plot
materials under dynamic/fatigue loading is the “S-N”diagram. Here, “S” corresponds to the stress level and “N” to the number of cycles. Due to theuncertainties involved in materials’ behavior and characteristics, a large number of specimensare tested at different stress levels for generating the “S - log N” diagram. Ideally, the mainobjective in such tests is two-fold. First, to establish (for a given material), up to what stresslevels the material will enjoy an infinite life (Endurance Limit); and second, to correlate thenumber of cycles at different stress levels that a material will be able to go through beforecoming to failure. The range of cost for a typical educational fatigue testing apparatus is from$10,500 to $32,500. These units are
the Simulink model the pulses in thesignal are counted and converted to an angular velocity. Since direction is not important in this setof experiments only one photo interrupter was used. However, a second photo interrupter couldbe added if direction is needed in the future.Motor DriverSince the voltage and current required for the motor are too high to be directly sourced by theRaspberry Pi, an additional power supply and H-bridge were used to drive the motor. A variableDC power supply that has 1.5V increments from 3V to 12V was selected. However, 4 AAbatteries could also be used. The SoftPWM library from the WiringPi libraries was used inanother Simulink S-function driver to generate the pulse-width modulated (PWM) signal to drivethe H
. Page 14.259.8 [6] James E. Corter, Jeffrey V. Nickerson, Sven K. Esche, and Constantin Chassapis. Remote ver- sus hands-on labs: A comparative study. 34th ASEE/IEEE Frontiers in Education Conference, 2006. [7] D. Deniz, A. Bulancak, and G. Ozcan. A novel approach to remote laboratories. ASEE/IEEE Frontiers in Education Conference, pages T3E–8–12, November 5-8 2003. [8] S. K. Esche, C. Chassapis, J. W. Nazalewicz, and D. J. Hromin. A scalable system architecture for remote experimentation. Proceedings of the 32nd ASEE IEEE Frontiers in Education Conference, Boston. MA, November 6-9 2002. [9] L. Hesselink et al. Cyberlab: A new paradigm in distant learning. NSF Workshop: Learning from the Net: The Leading Edge in Internet
) u 20, if u 0,and to verify that it cancels out the dead-zone in terms of the new input signal u mL2 mgL sin c KLu . (4) Upon completion of this task, students are asked to verify that a non-linear feedback law in theform of mg u sin w (5) Lwill also linearize the plant (3) by cancelling mgL sin producing a linear system describedby a second order transfer function ( s ) KL
coding with applications to speech signal Lab 4. Sampling rate conversion and polyphase implementations Lab 5. Image processing basics Lab 6. Image processing: edge detection, pseudo color generation and JPEG color image compression Project: Real-time DSP project: tonal noise cancellationNotice that for labs 1-4 and course projects, students are required to perform MATLABsimulations first and then are required to focus on hands-on real-time DSP implementationsusing the TMS320C6713 board(s). The specific learning outcomes for adaptive filteringtechniques are listed below:Learning outcome 1: Given an objective function such the mean squared error (MSE) function
Courses Focused on Tissue Engineering ApplicationsProceedings of the 2002 American Society for Engineering Education Annual Conference &Exposition; 2002.8. Pittsburg Tissue Engineering Initiative I. An Education Outreach Manual in TissueEngineering. In: Pittsburg Uo, editor. 2010.9. Birol G, Liu S, Smith D, Hirsch P Educational Modules in Tissue Engineering Based on Page 24.528.10the “How People Learn” Framework. Bioscience Education E-journal. 2006;7.10. Bhatia S. A disease-centered approach to biomaterials education and medical devicedesign. 33rd Annual International Conference of the IEEE EMBS
the AIChE Concept Warehouse.References1. Halloun, I. and Hestenes, D. (1985). The initial knowledge state of college physics students. American Journal of Physics 53, 1043.2. Hestenes, David, Wells, Malcolm, and Swackhamer, Greg. (2002). Force Concept Inventory. The Physics Teacher, 30,141.3. Mazur, E. (1997) Peer instruction, Prentice Hall, Upper Saddle River, NJ.4. Evans, D. L., Gray, G. L., Krause, S., Martin, J., Midkiff, C., Notaros, B. M., et al. (2003). Progress on concept inventory assessment tools. Proceedings of the 33rd Annual ASEE/IEEE Frontiers in Engineering Conference, Boulder, CO.5. Rhoads, T. R., and Roedel, R. J. (1999). The wave concept inventory-a cognitive instrument based on Bloom's taxonomy. Proceedings
12.895.5velocity, Ujet, of 1 m/s. Jet details: Jet Qjet = 3.33x10-5 m3/s H Ujet = 1 m/s Reynolds number = 6612 Measurement field (a) Flow field region under analysis. 0 0.1 m/s
Setra pressure transducers. All flow loops wereconstructed using 2” PVC with the ability to connect pressure transducers and flow meters toLabview modules or multimeters. This setup is capable of producing stable volumetric flow ratesbetween 5-130 GPM with a maximum pressure of 45 PSI.The external flow equipment was primarily composed of an Engineering Laboratory Designwind tunnel with a working test section of 0.3x0.3x0.6m and a maximum linear free streamvelocity of approximately 7.2 m/s. For the purpose of the external flow experiment a cylinderwith a pressure tap on one face was mounted to a rotating damper actuator and allowed to rotatearound its axis. This allowed the pressure at any point along the surface of the cylinder to bemeasured
those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.We would also like to acknowledge all of the individuals who participated in the studiesassociated with this work. We would also like to acknowledge the people who supported thiswork with their time and help.References1. Stevens, R., O’Connor, K., Garrison, L., Jocuns, A., & Amos, D. M. 2008. Becoming an engineer: Toward a three dimensional view of engineering learning. Journal of Engineering Education, 97(3), 355–368.2. Johri, A. and Olds, B. M. (2011), Situated Engineering Learning: Bridging Engineering Education Research and the Learning Sciences. Journal of Engineering Education, 100: 151–185. doi: 10.1002/j.2168-9830.2011
% 25.00% 20.00% 20.00% 15.00% 15.00% 10.00% 10.00% 5.00% 5.00% 0.00% 0.00% Novice (S=1
acquire different perspectives on a particulartopic such that users with different backgrounds and frameworks can find onethat particularly appeals to them.The project is supported by the National Science Foundation (NSF) TransformingUndergraduate Education in Science, Technology, Engineering and Mathematics(TUES). Page 24.240.5ReferencesAbulencia, J.P. Vigeant, M.A., and Silverstein, D.L., “Teaching ThermodynamicsThrough Video Media”, Proceedings of the 2013 ASEE National Conference,(2013)Chandra, S., “Lecture Video Capture for the Masses”, Proceedings of the 12thAnnual SIGCSE Conference on Innovation and Technology in Computer ScienceEducation, 39(3):276 (2007
and experiments in fluidmechanics, they generally do not possess the capabilities to perform hydrodynamic testing. Thispaper will present the work by the authors to develop a water flume that would allowhydrodynamic testing at velocities up to 2.0 m/s. The flume was constructed by anundergraduate and at a cost lower than commonly available commercial units. Both thefabrication process and the potential experiments that the flume could house are designed toimprove student learning in the area of fluid mechanics. The design is developed to be relativelycompact, with a 7’x3.5’ footprint and utilizes a commonly available single-stage centrifugalpump. Flow velocities in the test section can be varied passively by changing the insertcontaining the
Science from North Carolina A & T State University.Shona Morgan, North Carolina A&T State University Shona Morgan is an Assistant Professor in the Department of Business Administration at North Carolina A&T State University. She received her B. S. from Spelman College, and M. S. and Ph. D. in Industrial Engineering from North Carolina State University.Silvanus Udoka, North Carolina A&T State University Silvanus J. Udoka is an Associate Professor with a joint appointment in the Department of Industrial and Systems Engineering and the Department Business Administration at North Carolina A&T State University. He received his B. S. from Weber State University, and M. S
computerscience while attending the Academic Success class as undergraduates with a CSEMS or SSTEMscholarship. This paper will briefly describe the program and assignments required in theASAP class. About half of the students in the class have scholarships from a National ScienceFoundation S-STEM or STEP grant and are required to take the class each semester they have thescholarship. Class challenges include varying the assignments for students who repeat the classseveral times and to differentiate the undergraduate and graduate student assignments. The paperwill describe the graduate student activities of the last year. These activities suggest innovativeways that graduate students can have their education enhanced and, at the same time, how theycan
signal)5_ Power output amplification6_ Antenna and impedance matchingI am attaching the ck207.pdf file with the technical information about your transmitter.You need to research and study how the transistor(s) or diode(s) used perform the particular function of each stage.Perform a system functional analysis, and a mathematical input/ output gain analysis at each state, and then write aformal report and a prepare power point presentation.(Remember that for the report and Power point presentation you will need to describe how the transmitter work as awhole, and how the transistor(s) or diode(s) combined with other circuit elements perform the functions of eachstage.Study and research assignment for members of the Receiver groupThe following are
or other dataacquisition tools and analyzed.The technical objectives are achieved as follows:Experimentally, determine stress in a part by measuring strain (understand relationship betweenstress and strain in linear elastic materials): A laboratory handout was developed to allowstudents to calculate the bending stress in the beams based on an applied load (most of thestudents have not yet completed strength of materials course). Students put various loads on the 3beam (50g, 100g, 200g, 500g) and record the corresponding strain values. They calculate stressbased on beam bending theory (s=Mc/I) and compare that with the experimentally determinedvalue from the strain measurements (s=Ee).Be able to
undergraduate students. Current graduate students: • Yanshu Li, from F’2012, GRA, Ph.D. Student, SUNY at Buffalo, Buf- falo, NY. • Tim Yore, from S’2011, GRA, Ph.D. Student, SUNY at Buffalo, Buffalo, NY. • Guillaume Thomain, S’2011, GTA, Ph.D. Student, SUNY at Buffalo, Buffalo, NY Total number of graduate students advised = 22. Total number of postdoctoral scholars sponsored = 11.Prof. Athos Chariton Petrou, SUBY at Buffalo Athos Petrou is a professor of Physics at SUNY Buffalo. His studies the magneto-optical properties of semiconductor nanostructures Page 24.659.1 c American Society for