intergy in Figure B. Figure BSubjectsStudents and industry leader guest guides ranged in age from twenty-something to fifty-something inthe classes. Some took the class for credit while others participated and visited on a regular basis.Each class group had 8-12 participants. Each group had at least one female participant.i. Design as Organizing Questions for Each classOrganizing questions for the seminar were formulated based on factors of motivation, imagination,perception and cognition across the seminar project phases of explore, express, evolve and excite (seeTable 3). While many of the questions were part of the pre-planning for the course curriculum, somequestions emerged based on the
,” Proceedings of the American Society for Engineering Education National Conference (2006).7. D. Barbe, J. R. Baum, and K. S. Thornton, “Components of a Comprehensive Engineering Entrepreneurship Program,” Proceedings of the American Society for Engineering Education National Conference (2002).8. J. Green, K. Thornton, B. Robertson, B. Ghavam, D. Barbe, M. Weinstein, and T. Casalena, “Student Perspectives on the Hinman CEOs Program,” Proceedings of the American Society for Engineering Education Illinois/Indiana Conference (2005).9. E. Johnson, B. Engerer, K. Leitch, and D. Tougaw, “Teaching Probability and Statistics in a First-Year Engineering Course,” Proceedings of the Frontiers in Education Conference (2008).10
fee will be Page 14.551.6considered as interest.Capital Recovery SchemesIn Figure 1, Diagrams A, B, & C illustrate three ways of recovering the value of a loan (capitalrecovery). Diagram A is the method proffered by this paper. The principle would be paid backin equal installments. There would be no interest in the traditional sense; there would be a fee ofeither 1% or 0.5% annually of the total value of the loan paid monthly with the principle.Diagram B represents the payment of a constant amount of the loan paid back with interest eachmonth on the unpaid balance of the loan. Diagram C represents the traditional equal monthlypayments
, specifically graphs onmotor information (Fig 1; Fig 2).Figure 1: LEGO NXT motors Current vs. Torque Graph. The Blue and Yellow data points arewith the motor running at 100% power: blue with a small hub for the pulley, yellow with a largehub. The Red data points are with the motor running at 50% with the small hub[5]. Proceedings of the 2009 American Society for Engineering Education Pacific Southwest Regional Conference 397Figure 2: Angular Ve : elocity vs To orque of a LE EGO NXT m motor. The B and Yel
, etc.), corresponding 1 Table 1: Grade point scale for CMU. Grade Point Grade Point A 4.00 C 2.00 A- 3.67 C- 1.67 B+ 3.33 D+ 1.33 B 3.00 D 1.00 B- 2.67 D- 0.67 C+ 2.33 E 0.00retention rates, and where the unretained students are going. In the following sections, wepresent and discuss a program overview, general retention rates
together asshown in Fig.1.Fig.1: (a) Oxygen detection system in the presence of blood chromophore; (b) circuit for lasers and the detector; (c) encapsulated cross section with lens; and (d) system design to insert into the balloon catheter.The prototype development and the testing could be performed with any type of photosensitizingagent. The locations of the light sources are determined by the light scattering distance of livingtissue. In this work, a center-to-center distance of a light source and the detector is kept at 1cm.This distance provides sufficient spacing for the prototype fabrication and also for the detector toreceive enough photons to give an appropriate signal output. The power supply, control system,and data
, A., “Going Global: Implementation of a College-Wide Initiative to Prepare Engineering and Technology Students for the 21st Century,” Proceedings Annual ASEE Meeting, Honolulu, Hawaii, June, 2007.6. Kolb, D. A., Experiential Learning: Experience as the Source of Learning and Development, Prentice-Hall, Englewood Cliffs, N.J., 1984.7. Myers, I.B. with Myers, P. B., Gifts Differing: Understanding Personality Type, Davies- Black Publishing, Mountain View, CA, 1980.8. Tuckman, B.W., “Developmental Sequence in Small Groups,” Psychological Bulletin, 63, 384-399, 1965. The article was reprinted in Group Facilitation: A Research and Applications Journal, No. 3, Spring 2001 and is available as a Word document at http
Column (top right), and Signal Comparisons from the Column (bottom). Page 14.353.10Figure 4: Concomitant Measurement Systems for the Final Experiments with Data Validations in an OEP. Page 14.353.11 S ig n a l G ene rato r V e r t ic a l C o lu m n A C B r id g e A m p l if ie r L o w -p ass F i lt e r C a p a c it i v e S ensor D C B r id g e A m p l if ie r
section of this paper will present asimple student project where the Globalspec search engine plays an important role inbringing the final product to the market in a short period of time. In particular, we willdetail the solutions to the following project: The design of a Class B Power Amplifier.5. Class B Power Amplifier Design Figure 7: Class B Power AmplifierFigure 7 represents the circuit of a Class B Push-Pull Power Amplifier. An analysis ofthis circuit shows that the amplifier has a voltage gain of unity. If we assume that theinput voltage Vi = 12 Vrms (Vi(p) = 17 V), then the peak value of the output voltage will beVL(p) = 17 V as well. If we choose RL = 4 Ω, we can determine the output power acrossthe load (PO
., A. Kelly and R. Lesh, Editors. 2000, Erlbaum: Mahweh NJ.[9] Zawojewski, J. and R. Lesh, A models and modeling perspective on problem solving strategies., in Beyond constructivism: Models and modeling perspectives on mathematics problem solving, learning, and teaching, R. Lesh and H.M. Doerr, Editors. 2003, Lawrence Erlbaum Associates: Mahwah, NJ. p. 317-336.[10] Lesh, R. and H. Doerr, Beyond constructivism: A models & modeling perspective on mathematics teaching, learning, and problems solving. 2003, Lawrence Erlbaum.: Mahwah, NJ.[11] Shuman, LJ, M. Besterfield-Sacre, H. Diefes-Dux, E. Hamilton, R. Miller, T. Moore, B. Olds, B. Self, Improving Engineering Students’ Learning Strategies Through Models And Modeling
design project.References:Story, Louise. "New Bar Codes Can Talk With Your Cellphone." New York Times 1 Apr. 2007, natl. ed. : B1+.Fu, Gonzalez, and Lee, Robotics: Control, Sensing, Vision, and Intelligence, McGraw Hill, 1987.Groover, Automation, Production Systems, and Computer-Integrated Manufacturing, Prentice Hall, Second Edition,2001.Mark, Lamarche, Beginning iPhone Development: Exploring the iPhone SDK. Apress, 2009.Tables and FiguresFigure 1. Labview Barcode GeneratorFigure 2. Data Acquisition Using BarcodesFigure 3. iPhone Photo of Computer Screen"A" 100001001 "B" 001001001 "C" 101001000 "D" 000011001"E" 100011000 "F" 001011000 "G" 000001101 "H" 100001100 "J" 000011100 "K" 100000011
a wind turbine depends on (a) the available windenergy and (b) the rotor design that determines the portion of the available energy that can beharnessed, and (c) losses due to friction and generator efficiency. The ratio of the powergenerated by a wind turbine to the available power from the wind is the coefficient ofperformance Cp. Neglecting losses from friction and generator efficiency (which can besignificant), equation 1 represents the coefficient of performance Cp, where the product of totaltorque Q and rotational speed ψ provides the rotor power; and the denominator is a function ofair density τ, swept area A and average wind velocity parallel to the axis of the turbine, U♣. Qψ
. Given the same time duration to review their assigned visual aid – 12 minutes 3. Told that they would be asked one question after their review 4. After their review the visual aid was removed from each student or the projector screen and each student in each group was given a sheet of paper where they had to circle the visual aid they had reviewed (video or diagram) and answer the following question: “Please list five Passive Housing Concepts from your review of the visual material circled above.”Results:Please see Charts A and B, and Table C at the end of this manuscript.Conclusion:The test results support existing studies that show 65% of students to be ‘visual learners,’[43] andthat graphics with text provide a
in this course, anddescribed herein, are all related to “Green Engineering”, and incorporate mechanistic elementsfrom all four engineering disciplines offered at Rowan (electrical/computer, civil/environmental,mechanical, and chemical). The uniqueness of these labs is that all have the exact sameobjective – to create a renewable energy system with enough power to lift a given weight to agiven height. The energy source is the variable, and thus the crux of the labs. To operate thepulley and weight system for each lab, the students were tasked to create a: (a) solar panel arrayconnected to a motor, (b) hydro-powered turbine system, (c) wind-powered turbine system, and(d) chemical reaction battery connected to a motor. Thus, all four
in this course, anddescribed herein, are all related to “Green Engineering”, and incorporate mechanistic elementsfrom all four engineering disciplines offered at Rowan (electrical/computer, civil/environmental,mechanical, and chemical). The uniqueness of these labs is that all have the exact sameobjective – to create a renewable energy system with enough power to lift a given weight to agiven height. The energy source is the variable, and thus the crux of the labs. To operate thepulley and weight system for each lab, the students were tasked to create a: (a) solar panel arrayconnected to a motor, (b) hydro-powered turbine system, (c) wind-powered turbine system, and(d) chemical reaction battery connected to a motor. Thus, all four
Methods for Successful Product Engineering”, Addison-Wesley, New York, 1991.2. Gallois, B. and Jain, R, “Introducing ‘Total Design’ in an Engineering Design Course: A Pilot Experience”, American Society for Engineering Education Annual Conference Proceedings, Chicago, June 2006, Session 1425.3. Sheppard, K and Gallois, B., “The Design Spine: Revision of the Engineering Curriculum to Include a Design Experience each Semester”, American Society for Engineering Education Annual Conference Proceedings, Charlotte, North Carolina, June 1999, Session 3225.4 Streveler, R. A., Nelson, M. A., Miller, R. L., Olds, B. M., Evans, D. L., Mitchell, J., Martin, J., Investigating the Conceptual Understanding of Engineering Students
frame is driven by input data. Second the frame issolved in Mathcad. Both Excel and Mathcad are used as equation solver. (Appendix A and B)2. Four bar linkage kinematic analysis in Excel with numerical differentiation. Thedisplacements of the linkage are driven analytically. The velocities and accelerations are solvednumerically. Both tabular and chart results of velocities and accelerations are given based oncenter difference formulas with Working Model 2D simulation (Appendix C).3. Short column with eccentric load. A 3D model in Solid Works is created with 3x4x8-in andimport into ALGOR FEMPRO meshing, imposing the boundary conditions /load and processing.The comparison of the CAE results and strength of materials results is given to show
interoperable or interchangeable. Standardsorganizations are currently specifying operating system virtualization interoperability. VMware,however, does supply conversion software for MS Virtual PC to VMware VMs (Virtual MachineConverter, 2009).4 AGILE PROBLEM DRIVEN TEACHING USING VRORAgile Problem Driven Teaching (APDT) was addressed by Dey (Dey et.al., 2009). APDT, asused in ITM similarly to Problem Based Learning (PBL), focuses on real-world problems.“Agility” components are introduced to more closely simulate the real-world workplace thatstudents encounter. These agile components introduced are a) including multi-faceted problemsthat require multiple teams, b) adjusting the defined problem to available skills, and c) allowingteam-members to
at a higher education institution, this certainly holds true as teachers interact with students via learning activities such as courses, tutorials, assessment, and other feedback mechanisms. Beyond the teacher/student interaction, students communicate with other students or academic staff on various occasions and in a number of different ways. b) Non-Linear Interaction The interaction of elements of complex systems is generally non-linear. This means that small influences can have large effects in the system and conversely, that large influences can have small effects. In the educational context, this can be verified for example by looking at the process of formal teaching: Generally the same
CollaborativeTask Force is evolving a series of preliminary guidelines for engineering graduate educationreform to develop a professionally oriented graduate education to enhance the innovativecapacity of the U.S. Engineering Workforce in industry (see Appendix B). Engineering leadersmust be developed that will guide engineers to develop innovative new designs, leading toproducts that will provide what the customer wants and needs. Management styles that will bothencourage innovation, and meet the basic human needs of engineers are needed, including theadoption of cutting-edge concepts and best practices from other nations, thus laying thegroundwork for turning theory into practice.4.1 The Evolving of Preliminary Guidelines for Professional Engineering
stochastic bidding game for construction management.” 2nd Computing in Civil Engineering Conference, Ottawa, ONT., Canada.2. Akinci, B., Kiziltas, S., and Pradhan, A. (2006). “Capturing and representing construction project histories for estimating and defect detection.” 13th EG-ICE Workshop, Ascona, Switzerland.3. Brilakis, I. K., and Soibelman, L. (2005). “Comparison of manual and user-guided methodologies for the classification and retrieval of construction site images.” Construction Research Congress 2005, San Diego, CA.4. Chinowsky, P. S. (1998). “The civil engineering resource library.” Journal of Computing in Civil Engineering. 12(4), 208–214
recovery period in B-2 can B-1 be used.These tables provide three different recovery periods labeled class life, GDS (MACRS)and ADS. Class life is the number of years used to establish the GDS and ADS for eachkind of property. GDS is the MACRS property class and is the most widely usedrecovery period. ADS refers to the Alternate Depreciation System which is a straight linedepreciation method which can be elected in many cases but would rarely beadvantageous. The ADS recovery period is always greater than the GDS recoveryperiod.Each of the five books provides a table based on Publication 946 with examples drawnfrom tables B-1 and B-2. Each, as would be expected, uses different examples. Two failto make it clear that the brief table is only a
predict that they would be working in anengineering-related field in ten years (Table 3). Page 14.625.5Table 3. Student respondents who strongly and somewhat agreed that they are likely to beworking in an engineering-related field ten years from now, by gender and institution Overall Male Female Institution N Percent N Percent N Percent High Total 352 82.1%a 201 86.6%b,c 151 76.2%b,c Low Total 810 94.5%a 592 94.4%c 218 94.5%c
patterns consist of durations for each letter typed and latencies betweenkeytrokes. Monrose, Reiter, Li and Wetzel [3] proposed to harden a user’s password withkeystroke dynamics.Let φ1, φ2, …, φm denote the number of features that are measured during logins. For each featureφi, let Ti∈ℜ be a fixed parameter of the system. Let µi and σi be the mean and standard deviationof the measurements φi(j1),…, φi(jH) where j1,…, jH are the last H successful logins and H∈Ν is afixed parameter of the system.φi is a distinguishing feature for the last H successful logins if |µi – Ti | >K•σi, where K∈ℜ isanother system parameter.Let b(φi) be the bit representation of feature φi. Thenb(φi)=0, if Ti >µi + K•σi means the user consistently measures below Ti on
Technology in World Civilization course (Loendorf7, 2004)was designed to broaden the students perspective of past technologies and how they werediscovered and used. The main objectives of the course were to: (a) promote awareness oftechnological development, and (b) provide a rudimentary understanding of the social, political,economic, and cultural impact.The course content explores innovations and inventions associated with ancient as well as retrotechnologies in the fields of agriculture, weapons, time measurement, industrialization,transportation, communication, and the environment (Loendorf7, 2004). These encompass everyaspect of engineering and engineering technology including mechanical, electrical, industrial,civil, and environmental. By
(key concepts or gate keeper concepts) of beginning engineering studentstowards the relationship between environment/ecology and engineering specifically towardschoosing: either (a) engineering as a career to make an environmental impact or (b) choosingenvironmental and ecological engineering as a specific engineering profession. The project issituated in the context of life cycle analysis and the environmental impacts of design,manufacturing, use and disposal of products. The study employs also an innovative researchdesign: The researchers investigate students’ conceptions and attitudes (and change of both) byasking students to co-design an educational game with them – through a series of workshops. Ofparticular focus will be the change of
. Page 14.774.6 Joint 3, D (fixed) Joint 2, C 560 mm Joint 1, B Joint 4, A (fixed)Figure 1: Simplified mechanism of a wiper system (not to scale) D B C A Figure 2 – Path traveled by different links of the four bar crank rocker mechanism used to simulate a simplified windshield wiper system
familiar with this process. The lower levelstudents who participated would like to see more instruction on plan reading and industry relatedterminology. b. Financial Costs: Budget Considerations The planned budget noted in the appendix proved to be very close to the final tally.Expenditures for transportation fluctuated only in terms of the actual cost for the gas; rental feesand parking were very predictable and stable. The meals noted were for faculty mentors thattraveled with the teams. Students were either responsible for their own meals or supportedduring the competition by corporate sponsors of the event. Lodging included rooms for thefaculty mentors and for the teams; maximum occupancy rules by the hotel require a team with
applied to teaching a subject matter in the area ofmanufacturing engineering. The author has utilized Washington State University’sCritical Thinking Rubrics to accomplish this task. (Narayanan, 2007, 2008). The authorbelieves that this can lead to interesting findings and observations (Dunn & Dunn, 1979).The author however acknowledges the fact that it is very important to create significantlydifferent learning environments, particularly for engineering students. Details pertainingto implementation are documented on page 6 and in the appendices.Perceptual ModalityDr. Walter B. Barbe, a nationally known authority in the fields of reading and learningdisabilities has shown that perceptual modality styles provides an indication of anindividual’s
AC 2009-2218: PREDICTING POST-SECONDARY EDUCATIONAL OUTCOMESWITH SURVIVAL ANALYSISGillian Nicholls, University of Pittsburgh Gillian Nicholls is a Lecturer in Industrial Engineering at the University of Pittsburgh. Her research interests are in applying statistical analysis and optimization to engineering education and transportation management. She holds the B.S. in Industrial Engineering (Lehigh University), Masters in Business Administration (Penn State University), and M.S. in Industrial Engineering and Ph.D. in Industrial Engineering(University of Pittsburgh.) Address: 1048 Benedum Hall, University of Pittsburgh, Pittsburgh, PA 15261; telephone 412.400.8631; fax: 412.624.9831