measuring currents in ungrounded Wye or Delta load configurations.2.b. Laboratory equipment requirementsOther than the symmetrical component active filter and a three-phase set of balanced voltagestypically available from a 120V/208V four-wire laboratory power source, the only otherequipment needed are reasonably accurate multimeters for measuring voltage and current, aphasemeter, three current transformers, and three resistive loads. Clamp-on current probesmake measuring current easier if a limited number of multimeters is available.2.c. Laboratory procedureFirst, students are asked to test the symmetrical component filter by supplying (a) positivesequence input voltages only, (b) negative sequence input voltages only, and (c) zero sequenceinput
signal using the DSK_SGprogram and to detect it using the DSK_OSC program. These values are associated withthe Analog Interface Circuit (AIC) chip that connects to the serial port on the DSK kit.A program “aiccalc” is provided by TI to calculate these values and parameters. Usingthe “aiccalc” program the following values were calculated: • DSK_SG to generate a signal as shown in Figure (2). À A sine signal is selected by choosing number “7” from the keyboard À Amplitude = 3, Frequency = 30, Signal generated: + 3.000 * sin (30) À Parameter sittings: - A registers: consist of TA and RA and represents filter control TA = 11, RA = 31 - B registers: consists of TB and RB
Session 3147 Simulation Using Spreadsheets in Engineering Technology Curricula – Satisfying Multiple Learning Objectives Zbigniew Prusak Central Connecticut State UniversityAbstractThis paper describes teaching of basic simulation principles as well as underlying fundamentalknowledge about a problem which is necessary for building simulation models, makingsimulation runs, and analyzing results. These aspects of teaching simulation are described fromthe perspective of using spreadsheet software – a simulation tool available at almost no-cost inall academic
Session 2520 Multimedia Approaches to Teach Engineering to Non Engineers Robert J. Voigt, Patricia F. Warren, Charles B. Cameron, Anne Madsen, Eric Twite U.S. Naval AcademyAbstractThis paper addresses some of the challenges of teaching electrical engineering to humanitiesmajors in a demanding academic environment. We focus on the use of multimedia tools in theclassroom in order to “engage the students.” The challenges we face in teaching this type ofcourse to non-engineering students are many and varied. The circumstances are such that thestudents are enrolled in the course as a core requirement, thus, while they
department of Electri-cal Engineering at Michigan Technological University in the areas of design, modeling andsimulation of GaAs-based very high-speed integrated circuits are outlined.I. IntroductionActive research experience is one of the most effective techniques for training and motivat-ing undergraduate students for careers in science and engineering. National Science Founda-tion recognizes this and supports undergraduate research under two programs: a) Under their“REU Supplements” program, NSF encourages principal investigators of NSF-fundedresearch grants to include one or two undergraduate students in their existing projects; b)Under their “REU Site” program, NSF provides funds to set up undergraduate research sitesconsisting of nearly ten
. 1. “Good educational software is active, not passive. Students ought to be doing something, not watching something.” [7] 2. Key elements of an learning environment include [8]: (a) parameters of a database or simulation which can be altered, (b) system knowledge of the components in the environment (for example, a model of the mathematical formulas which describe the behavior of the application), and (c) system reasoning about user actions, and immediate response. 3. “Multimedia is less restrict than written text. Many people come to understand text better with border media support for its interpretation” [9]. 4. An example of a multimedia
. Page 4.325.119. Regan, T., “Design and Manufacture of a Wind Generator,” ECSEL: Introduction to Design Engineering, Active Learning Modules A Catalog, http://echo.umd.edu/, 1993.10. Ambrose, S. A., and Amon, C. H., “Systematic Design of a First-Year Mechanical Engineering Course at Carnegie Mellon University,” Journal of Engineering Education, Vol. 86, No. 2, pp. 173, 1997.11. Lovas, C., and Packman, P., “Enhancement of Faculty Design Capabilities,” Proceedings of the 1996 ASEE Anual Conference, Session 2625, Tulsa, http://me8.me.utulsa.edu, 1996.12. Evans, D., Doak, R. B., Duerden, S., Green, M., McCarter, J., Roedel, R., and Williams, P., “Team-Based Projects for Assessment in First Year Physics Courses Supporting Engineering
for Armature Circuit Loss. a.) PROBLEM: To get basic data to determine true armature circuit power loss in watts. b.) DESIGN: While rotating the armature by an external torque, measure thevoltage generated from its residual field magnetism. Using a separate field excitationsource hooked up in reverse, buck out the residual field until the armature shows zerovoltage generated. Then, by use of prepared switching, with an external direct currentsource, force current through the moving armature and measure the impedance by thevoltmeter-ammeter method. This is sensitive and accurate for low resistance circuits.Remember that the brush-to-commutator connection is through a plasma whensignificant current is flowing. c
its own echoes. Reverb is oftenused to liven up music.The reverb is basically a comb filter which works by adding at each sample timea delayed and attenuated version of each past output. Figure 1 shows a blockdiagram of a comb filter. Figure 2. Comb Filter with Delay L.The difference equation for the filter is: yn = xn – bkyn-kThe z-transform for the equation is: 1 H (ω ) = 1 + b k z −kThe frequency response of the comb filter emphasizes frequencies at the polesand attenuates other frequencies. If k is eight in the above equation the systemhas eight poles evenly spread out in the z-plane.Several
testobjects made by stereolithography.Specific instructional objectives are to: (a) increase conceptual understanding of stressdistribution through photoelastic and finite element based visualization, (b) gainexperience with photoelasticity and its advantages/limitations, and (c) appreciate thesynergism between experimental and numerical methods of stress analysis.Through a National Scieence Foundation matching grant, one transmission polariscopeset, one reflection polariscope set, and accompanying accessories have been purchasedand installed for students’ use. The equipment has also been used for in-classdemonstrations and motivational presentations to K-12 students.All mechanical engineering students at the University of the Pacific have benefited
feel they can get their work done more quicklyand efficiently by themselves. To be effective, the instructor should function as a coach, providingguided practice and feedback. Type III learners tend to prefer that an instructor help them whenneeded as they experience a lesson on their own. Thus, an instructor needs to become lessactively involved and allow the students to take a more active role in the learning process. One ofthe components of the ENGR191M course involves the requirement that any test taken orassignment prepared by a student in the MA151 course in which a B grade or below is receivedmust be repeated with the assistance of a tutor. This strategy is utilized until the student receivesa grade of B or better on the specific task
,” Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, pp. 20–30, April 1993.[3] Jacquot, R. G., Hamann, J. C., Pierre, J. W., and Kubichek, R. F., “Teaching Digital Filter Design Using Symbolic and Numeric Features of MATLAB,” ASEE Computers in Education Journal, vol. VII, no. 1, pp. 8–11, January-March 1997.[4] Porat, B., A Course in Digital Signal Processing, John Wiley & Sons, Inc., 1997.[5] Ingle, V. K., and Proakis, J. G., Digital Signal Processing Using MATLAB V.4, PWS Publishing, 1997.[6] Mitra, S. K., Digital Signal Processing: A Computer-Based Approach, McGraw-Hill, 1998.[7] Ambardar, A., and Borghesani, C., Mastering DSP Concepts Using MATLAB, Prentice-Hall
. 21.Rathod, M.S., Brown, J., "SMARTE Facts," v5, n12, October 1998.8. Hiemstra, R., Sisco, B., "IndividualizingInstruction: Making Learning Personal, EmpoweringAnd Successful," Jossey-Bass, San Francisco, 1990.9. Howard, D.C., Howard, P.A., "LearningTechnology, Implications For Practice," Journal ofTechnology and Teacher Education, 2(1), 1994, pp17-28.10. Means, B., Olson, K., "The Link BetweenTechnology And Authentic Learning," EducationLeadership, 51(7), 1991, pp 15-18.11. Pabbati, P.V., Rathod, M.S., "A Study ofCurriculum Models That Integrate Mathematics,Physical Sciences, Computer, and CommunicationIn Technical Courses," ASEE Annual ConferenceProceedings, 1995.12. "Skill Trades And
pilot scale distillationsystem for student costs nominally more than $100K. These experiments serve the role to givestudents a more realistic depiction of actual processing equipment. At Rowan we believe that it is important to integrate laboratory experience throughout ourcurriculum in courses that make sense pedagogically [Hes97a,b, Hes98]. These “course labs”occurs in several places and typically use a bench-scale experiment that can be performed within2 hours. We also have multiple laboratory set-ups [Sla96] to facilitate an experimental periodbeing conducted with a multiple groups of students running the same experiment. To facilitate a laboratory program of this nature the time, scale, complexity and cost mustall be optimized
Session 3532 An Embedded DSP Development System for Teaching Real-Time Interfacing Michael G. Morrow United States Naval AcademyI. IntroductionHistorically, microcomputer interfacing has been taught using relatively low-performance 8 bitsystems. While this generally provided students with a simple architecture and instruction set, italso presented serious limitations, particularly in obtaining real-time operation. To overcome thisperformance shortfall, the Texas Instruments TMS320C31 DSP Starter Kit (DSK) will be usedas the engine for new
the generalized sidelobe cancellor structure toseparate the constraints from the minimization. The objective is to design an MVDR filter whichwill adapt to changing conditions. The length of the MVDR filter is three. The generalizedsidelobe cancellor structure, shown in Figure 3, is to be used to implement the filter.In this exercise, an adaptive LMS filter is used in conjunction with a generalized sidelobecancellor structure to remove an interfering tone, with time varying frequency, from a speechsignal. In listening to the speech the students can hear the dominant tone moving from a lower toa higher frequency. The blocking matrix, B, and filter, wa, are specified in the problem. Thestudents write a MATLAB program to implement the LMS filter
of the bridges were using the truss structure as the handrail to save on materialcosts; however, the trusses did not fully meet the OSHA handrail requirements. OSHA requireda maximum rail opening of 4”. The spacing on the truss members was much larger. Again,another valuable engineering design issue was learned by the students. That is, safety must bethe number one consideration and cost second. Page 4.109.6 (a)(b) (c) Figure 4. Student Bridge Dioramas Page 4.109.7 Figure 5. Student Bridge with lateral
-89.2. Kelller, F. S., and Sherman, J.G., The Keller Plan Handbook: Essays on a Personalized System of Instruction, W. A. Benjamin, 1974.3. Sherman, J. Gilmour, ed., Personalized System of Instruction: 41 Germinal Papers, W. A. Benjamin, 1974.4. Sherman, Ruskin, and Semb, eds., The Personalized System of Instruction: 48 Seminal Papers, TRI Publications, Lawrence, Kansas, 1982.5. Koen, B. V., "Self-Paced Instruction in Engineering: A Case Study," IEEE Transactions on Education, vol. E-14, February 1971, pp. 13-20.6. Roth, C. H., Transferability of PSI Courses", 1977 Frontiers In Education Conference Proceedings, IEEE, 1977.7. Kulik, Kulik and Carmichael, "The Keller Plan in Science Teaching," Science, vol. 83, 1974, pp. 379-383.8. Roth, C
possible Page 4.473.4approaches.• Bonus components on laboratories (up to 40%) to allow the students to explore concepts that interest them.• Development of web-pages relevant to the course.• The web-translation of my, unfortunately still, concrete random thought processes during lectures.The generation of web-pages based on lectures, provided done promptly, can provide feedbackon just how well the students think they understand the material. It also provides a mechanism tocorrect mis-understanding and a review process. For the web pages, I provide the students withan opportunity to replace their worse in-class quiz by the higher of a B
platform at a 90o angle to one another. Each motor assembly provides one axis of movement; therefore, the S/R station provided X-Y directions of movement.(b) Design of storage structure: A unit load AS/RS storage structure was used to build the scale model.(c) Determination of sequence of operations: The sequence of operations was specified in detail based on the design goals prescribed above. (1) When a storage cell within the AS/RS is determined for a given delivery; (2) The S/R machine will pick up and move the part to the specified location; (3) The S/R machine will move back to the pick-up station; (4) Return to Step (1)(d) An initial model was developed and tested. Due to the PLC's
ofScience. Dr. Claudio da Rocha Brito received a B. S. degree in Electrical Engineering, B.S. degree in Mathematics,B.S. degree in Physics, M.Sc. and Ph.D. in Electrical Engineering all from the University of São Paulo.MELANY MARIA CIAMPI TENENTE DA ROCHA BRITOMelany Maria Ciampi Tenente da Rocha Brito is a Researcher of University Center of Lusiada. She belongs to theState Council of SBPC – Brazilian Association for the Advancement of Science. She received a B. S. degree fromCatholic University of Santos. She has many works in Engineering Education in several International Congresses. Page 4.522.7
effective in the classroom then we will have beensuccessful.BibliographyBennett, F. Lawrence, 1996. The Management of Engineering. New York, NY: John Wiley & Sons, Inc.Kouzes, James M. and Posner, Barry Z., 1997. The Leadership Challenge. San Francisco, CA: Jossey-Bass Inc.BOB GREENBob Green is the Fred C. Culpepper ’40 Adjunct Professor of Civil and Environmental Engineering at the VirginiaMilitary Institute in Lexington, Virginia. Bob teaches Civil Engineering Design and Civil Engineering ProfessionalPractice courses to senior students. He is a registered professional engineer in Virginia with over twenty yearsexperience as a professional engineer in private practice. He received a B. S. degree in Civil Engineering fromVMI and a Masters
, theseproblems are intended to be worked by groups of students; also in some cases, the problems aredesigned to take advantage of Mathematica as a tool. After the “Generating a ContourDiagram” animation, for example, students are given sample syntax for Mathematicacommands to graph three-dimensional objects and their contour diagrams. They then use thesesamples to do problems such as: “Consider the family of functions, f(x,y) = Ax2 + By 2 .a) Investigate the family of functions by using the Plot3D to graph members of the family (be sure to include positive and negative values of A and B). Experiment with options, such as ViewPoint and PlotPoints, to produce (and submit) printouts that represent the surfaces nicely. How does the shape of the
the findings to the data presented Page 4.578.2by the manufacturer. In the past, the data collection for this experiment has been donemanually. That is, a flow rate was set by moving the system flow control valve until theUSING DATA ACQUISITION in the FLUID POWER LABORATORYPage 3digital flow meter read a certain value, then record the pressure at the P port, A or B port(depending on valve position), and T port of the valve. Depending on the number of datapoints, this approach can take a considerable amount of time. In addition, it’s not likelythat this would be done in a real world setting. Notice the schematic in Figure 1, the flowis read from the
byω = ω 0 (1 − e −3t ) . We then ask them to find and plot the following kinematic quantities as func-tions of time t (assuming ω 0 = 3000 rpm): 1. The acceleration of point D, the mass center of the connecting rod. 2. The angular acceleration of the connecting rod. 3. The acceleration of the piston. Page 4.127.9 y P(t) C a D b B
: a. Mathematics and basic science b. Humanities - language, history and culture. Social science and economic courses, if offered, normally belong to this portion of the program c. Engineering science - mechanics, materials, thermodynamics, fluids, basic electricity, etc. d. Special engineering - propulsion plant, power plant, systems and machinery, naval architecture, etc. e. Physical education - offered either as mandatory classes, or as activities beyond the scheduled hours f. Naval reserve training - offered by some schools as an integral part of the program g. Navigation and ship handling - several introductory courses are normally offered in a plain marine engineering curriculum and a
discussed in the following section). Page 4.459.6In terms of general self-efficacy belief, no one indicated a rate less than 8 on the pre-test (whichwould correspond roughly to a B letter grade, or higher). The average on the pre-test was 8.7,and the average on the post-test was 8.3, which would indicate a small decrease in self-efficacybelief. One individual, who performed very marginally throughout the semester initially ratedhis self-efficacy belief at 10, and revised this on the post-test to 7. One individual increased hisefficacy rating from 8 to 9 between the pre and post-tests, one individual decreased from 8 to 7and two individuals
0 and 1, so the transformation Ba + RAND()*(b-a) generates numbers on the interval (a, b). 3 Cash FlowThus revising B4 through B8 so that they appear as in Table 4 = –9000 – RAND()*20002 results in the desired random cash flows. Pressing F9 5 = 3600 + RAND()*800causes the spreadsheet to recalculate and generate a new set 6 = 3600 + RAND()*800of random numbers. The first time F9 is pressed, 11.35% 7 = 3600 + RAND()*800might appear in B6, whereas the second time it might be 8 = IRR(B4:B7, 0.1)9.62%. Page 4.213.1
; Johnson, R.T. (1998). Cooperation in the College Classroom, notes presented at Waves of Change, 10th Annual Conference and Convention of the Australasian Association of Engineering Education, Gladstone, Australia, 28 - 30 September.9. Senge, P., Ross, R., Smith, B., Roberts, C & Kleiner, A, (1996). The Fifth Discipline Fieldbook: Strategies and Tools for Building a Learning Organisation, Nicholas Brealey Publishing, London.10. Belbin, R.M., (1996). Management Teams: Why they succeed or fail, Butterworth Heinemann, Great Britain.11. Chalmers, D. & Fuller, R., (1996). Teaching for Learning at University, Kogan Page, Great Britain.Author DetailsSUZANNE MILDRENSuzanne has an electrical engineering degree from the James Cook
50 P e r c en ta g e o f R e sp o n d e n ts Figure 1. Pre-and Post- Interview Responses to “Expected Percentage of Professional Work Time Spent Performing Technical Writing Tasks” B id s & S a les P itch es P o st-Interv iew R esp o n ses E va lu a tion s P re-In terv iew R esp o n ses J o b R