Power Transfer at IEEE Aerospace Conference, an active technical program committee Chair and TPC member for several IEEE international conferences including IWCMC, Globecom, and ICC. He has also served in the executive chairing committee of many conferences such as IEEE PIMRC 2011 and IEEE SPAWC 2011. He is with the Editorial Board of IET Sensing Systems.Dr. Cheryl Q. Li, University of New Haven Cheryl Qing Li joined University of New Haven in the fall of 2011, where she is a Senior Lecturer of the Industrial, System & Multidisciplinary Engineering Department. Li earned her first Ph.D. in me- chanical engineering from National University of Singapore in 1997. She served as Assistant Professor and subsequently
AC 2012-5123: INTERACTIVE SIMULATIONS COUPLED WITH REAL-TIME FORMATIVE ASSESSMENT TO ENHANCE STUDENT LEARN-INGDr. Tracy Q. Gardner, Colorado School of Mines Tracy Q. Gardner graduated from the Colorado School of Mines (CSM) with B.S. degrees in chemical en- gineering and petroleum refining (CEPR) and in mathematical and computer sciences (MCS) in 1996 and with an M.S. degree in CEPR in 1998. She then got my Ph.D. in chemical engineering, studying transport in zeolite membranes, from CU, Boulder, in 2002. She did a postdoc at TUDelft in the Netherlands in 2002 and 2003, studying oxygen conducting mixed oxide membranes and teaching reactor engineering, and she has been teaching back at CSM since 2004. I am now a
AC 2012-4629: NETWORK-BASED DATA COLLECTION FOR A PROJECT-BASED FRESHMAN CLASSDr. Samuel Bogan Daniels, University of New Haven Dr. Daniels is an associate professor of mechanical engineering with more than 20 years of experience teaching laboratory classes. He also teaches in the multidisciplinary engineering foundation spiral cur- riculum at the University of New Haven. Research interests are in engineering education and renewable energy systems.Dr. Cheryl Q Li, University of New Haven Dr. Cheryl Qing Li joined University of New Haven in the fall of 2011, where she is a senior lecturer of the Industrial, System & Multidisciplinary Engineering Department. Dr. Li earned her first Ph.D. in Mechan- ical
AC 2012-4319: ENGAGING FRESHMAN IN TEAM BASED ENGINEER-ING PROJECTSMs. Lacey Jane Bodnar, Texas A&M University Lacey Bodnar is a master’s of engineering student in water resources engineering at Texas A&M Uni- versity. Her undergraduate degree was from the University of Nebraska, Lincoln in 2010. She currently works for the Engineering Student Services and Academic Programs Office and is pleased to be involved in managing exciting freshman engineering projects.Ms. Magdalini Z. Lagoudas, Texas A&M UniversityMs. Jacqueline Q. Hodge, Texas A&M University Jacqueline Hodge is a native of Giddings, Texas and currently the Project Manager for the Engineering Student Services & Academic Programs Office
elementsimproves the quality of approximation to the real behavior. However in this simple formthe model is sufficient to demonstrate a couple of typical tasks relevant to the operationwith Multibody problems. The following sections explain the derivation of the equations ofmotion. Because of its compact theoretical formulation section 2.1 starts with the Lagrangeequation of second kind, section 2.2 demonstrates the more relevant procedure with theNewton-Euler equations.2.1 Lagrange equation of second kindFor the derivation of equations of motion this section uses the Lagrange equation of secondkind with the vector of minimal coordinates q = (ϕ1 , ϕ2 , ϕ3 )T , the kinetic energy T , thepotential energy V and the vector of generalized forces u
follow-ups tracking record through Early Warning System 9 Help session Face-to-face office hours Virtual office through web conferencing, weekly Q&A forums 10 Orientation First day face-to-face lecture “Welcome! Start here” folder on the homepage (including instructor’s greetings and introduction to the course, course walk-through video, introductory activity, syllabus quiz ) Table 1. Path
Page 25.1374.4randomly selected question set is generated for a weekly test. A weekly Q&A forum is setup sothat students can interact with each other any time and share common troubles they experience inthe course.Based on the feedback from the pilot period, the authors revised the course, as shown in Figure 2,to improve the learning process. The major revision includes excluding the use of publisher’shomework system and reorganizing learning activities to be more logically sequenced. Page 25.1374.5 Figure 2. Revised Learning Process for Spring 2012During the pilot phase, it was discovered that an independent
-eight responses were received with interesting findingsas shown in Table 1, 2, and Figure 1 below. Table 1: Survey Results Related to Curriculum and Assessment (N=88) Curriculum Assessment Q Q Q Q Q Q Q Q Q Q Q Q Q 1 2 3 4 5 6 7 8 9 10 11 12 13 Strongly Disagree 1% 3% 1% 3% 3% 1% 10% 9% 2% 3% 0% 2% 5% Disagree 15% 18% 1% 31% 27% 28
differing by Page 25.1457.3degree).3 The model is based on a Q-matrix approach in which the Q-matrix is a binaryrepresentation of the underlying cognitive attributes required for correct item responses.5Additionally, the Fusion Model uses residual information from a continuous attribute to uniquelydetermine a student’s probability for correctly performing each task. The Fusion Model employsa Bayesian approach to estimate the model parameters and estimations are made based on aMonte Carlo Markov Chain (MCMC) parameter estimation algorithm. The Fusion Model hasshown promising results when applied to real educational assessment data and in the
_________________________ ________________ c. E _________________________ ________________ d. u _________________________ ________________ e. Q _________________________ ________________ f. h _________________________ ________________ g. v mP _________________________ ________________ h. q _________________________ ________________ B. The letter vee (upper and lower case) is used to represent several quantities in this course. List these quantities and
) qe Q QbCeAgain, the students can use Excel to plot equation (4) and determine the parameters. Theconstant Q represents the maximum adsorbate that can be adsorbed onto the surface, andb is the isotherm constant. If b is large, and the quantity Q b is much larger than one, the € The implications can be discussed in class.isotherm is favorable.Modeling the adsorption kinetics is more complicated, and requires a differentialequation. This is probably not too difficult for first year engineering students, but may befor students with less mathematical background. To assist nonengineering studentsunderstand a first order process, it is helpful to first show them some examples: flow offluid from a tank, or the braking of an
decouple from the intended use and apply in ways not intended by the author• Techniques for integration into course activities,• A scenario format that motivates student engagement in problem identification/solution.• Guidance to the instructor on how to use the case study materialThis panel session will explore central issues about the use of case study teaching: What is it? What areits advantages and challenges? Where and how should case study teaching be used in a computingcurriculum? What works and what might not work? What cases study resources are available? Inaddition, to the panel discussion and Q &A, the session will engage the audience in a simple exerciserelated to a smart house case study (http://www.softwarecasestudy.org
the economic viability of a PV system as an alternate energy sourcewhen compared to electricity from the grid. The economic analysis will consider a number offactors such as system location, wattage cost, loan interest rates, and government incentives. Theeconomic analysis is facilitated by developing user friendly Microsoft Excel based tools. Thefollowing procedure is used to perform the economic analysis.ProcedureThe following steps are involved:1. Calculate the energy requirements. The daily amount of energy, Q, required to meet house energy needs can be read from Page 25.1201.3 past utility bills.2. Estimate the Effective
defineddifferently for the two systems. We have COPHP = QH Q q = H = H Wnet Wnet w net COPRef Q Q = L = L = L q Wnet Wnet w netIn the geothermal industry, some confusion exits since the phrase “underground heat pump”refers to a system that sometimes operates as a refrigerator and sometimes as a heat pump. Idealoperation of a heat pump or refrigerator occurs when they operate on the basis of a Carnot cycleand we have
students to show why enthalpy remains constant for a process involvingfluid flow in an expansion valve. They also had to show why the value of specific entropyincreases during the process. As a minimum, students had to state the logical assumptions thatthe process is a steady state, it involves no transfer of power, and kinetic energy and potentialenergy effects are negligible. They also had to show the following steps:dmcv = m& i − m& e or m& i = m& e = m& dtdEcv ⎛ V2 ⎞ ⎛ V2 ⎞ = Q& cv − W& cv + m& i ⎜ hi + i + gzi ⎟ − m& e ⎜ he + e + gz e ⎟ dt ⎜ 2 ⎟ ⎜ 2
measurement noise e when points are near −1, the results of sgn(ξ2 + e) will push solu-tions towards −1 and end in this aforementioned“stuck” scenario. The challenges with this uniquetracking problem are explored in [6]. To mitigate this hysteresis behavior, a supervisor controllerwith two modes is used for pushing the state of the plant towards the stabilization point when awayfrom −1. Now introduce a discrete logic variable q ∈ {1, 2} that will be used for assuring thevalue of u “agrees” with the direction for the system to turn. For the case when q = 1, the state ξis pushed away from −1 in the CW direction. And for the case when q = 2, the state ξ is alreadypushed away from −1 and is pushed to the stabilization point. To achieve robust global
. Harold A. Linstone, Decision Making for Technology Executives: Using Multiple Perspectives to Improve Per- formance, Boston and London: Artech House Publishers, 1999.8. The Massachusetts Institute of Technology (http://esd.mit.edu/); also, refer to SEAri (http://seari.mit.edu/)and LAI (http://seari.mit.edu/): http://search.mit.edu/search?q=case+studies&btnG=go&site=mit&client=mit&proxystylesheet=mit&output=x ml_no_dtd&as_dt=i&as_sitesearch=esd.mit.edu&ie=UTF- 8&ip=127.0.0.1&access=p&sort=date:D:L:d1&entqr=3&entsp=0&oe=UTF-8&ud=1&is_secure=.9. The Massachusetts Institute of Technology (http://sdm.mit.edu/): http://search.mit.edu/search?site=sdm&
Mean N Std. Deviation Std. Error Mean 1 Pair Actual Grade Q1/20 12.50 2 3.536 2.500 Latino 1 Conf1/Q 8.00 2 .000 .000 Pair Mid-Term 27.50 2 24.749 17.500 2 Grade/50 Conf1/MT 7.500 2 .7071 .5000 Pair Actual Grade Q2/20 12.00 2 2.828 2.000 3 Conf1/Q2 6.000 2 1.4142 1.0000 2 Pair Actual Grade Q1/20 13.86 7 3.671 1.388 Asian 1 Conf1/Q! 6.86 7 2.268 .857 Pair
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
center of mass. Thisassumption can be later checked to see if it is valid.The cylinder is assumed to be at an initial temperature Ti and is then placed in still air at atemperature T∞. The coefficient of convection and surface area of the body are referred to as hand A, respectively. If the body is at a temperature T, then, the heat transfer Q due to convectionis given by Q = dU/dt = hA(T-Tinf) (2)where U is the total energy stored in the system. The temperature T obviously varies with time.The quantity Q can also be expressed in terms of the heat capacity C of the material. Indeed, bydefinition C is Q C
assessed the normality of each student section’s data for each year. To do this, wecreated a quantile-quantile (Q-Q) plot for each student section, including both pre-test scores andlab quiz scores, resulting in a total of 8 plots. For simplicity, only one of the plots is shown inFigure 4, however, it is representative of the other plots obtained. Because this plot suggests alinear trend, we can infer that our data is approximately normally distributed, and thus, parametricstatistical tests, such as the t-test, are applicable in our subsequent analyses.Figure 4: A Q-Q plot from one student section assessing the normality of our data. The linearity ofthis plot suggests that the data follows an approximate normal distribution. Q-Q plots were
Page 25.89.5To LED S1 To LED S0 Input from dip switch 2 5 D Q 1 A0 Y0 15 2 Y1 14 74HC74A A1 13 D flip flop 3 Y2 A2 12 Y3 11 74HC238 Y4 OR Gate Decoder Y5 10 1 74HC32 3 9
injection water drained from thecylinder tended to overflow the FWT and that the temperature in the FWT of one of Smeaton’sengine was 134oF.methodologyThe general model that applies to a heat engine operating a pump is shown in Fig. 6. Figure 6 - Pumping Engine Efficiency Relationships Page 25.1357.8The notation convention used herein is that “dotted” terms indicate the time rate of the extensivevariable. The fuel energy rate ( E ) is the product of the mass flow rate of the fuel ( m ) and itsheating value (HV). The thermal power ( Q s ) supplied to the cylinder is the product of the massflow rate of the steam ( m stm
accomplished using the MATLAB command,Q = 10; specgramdemo(downsample(data,Q),fs/Q).The sampling requirements dictated by Nyquist must be consider prior to any decimation operationto prevent aliasing. Alternatively, if the signal is not bandlimited, you could lowpass filter it tomake it bandlimited. Again, the effect of the decimation operation must be considered in the filterdesign to prevent aliasing. Once again, this provides an effortless segue into various importantDSP topics. It should be noted that, in this properly designed demonstration, both versions of thesignal sound the same! Page 25.1098.5The need to adjust the sample frequency and the
collectted from thee users were very posittive. Some uusers asked d forsome otther features, among thhem, such ass experimen nt control sw witch functiion among the tusers w without the queuing q con nstraints, cam mera contro ol (i.e. zoom m in, zoom oout and chan
the presenter summarized the views of a group of NSF ProgramDirectors that were developed earlier through a similar exercise.Each IWBW was divided into two 60-minute segments with a 15-minute break inbetween them. Typically, each segment had about four TPSR activities with a fewshorter ones included to break the routine. The format allotted six minutes for eachTPSR activity. Usually, two Q&A sessions were included in each segment with one inthe middle and one at the end. Since the presenter had no control once a TPSR activitywas initiated and could not react to question or provide guidance, the task statementsneeded to be clear and precise and describe challenging but doable tasks that fit withinthe time constraints. Local facilitators
Training Notes (rough)Q&P Logistics: 1. Classroom a. Review slides up to roles b. Have students review roles, select roles, mind quantities of each role c. GTA provide assigned roles on printed form from data spreadsheets d. Students work on pre-lab to finish off Classroom session, instructional team answers questions, complete pre-lab by beginning of Q&P Lab session, must use Classroom Q&P slides to answer questions 2. Before Lab a. Students finish pre-lab by beginning of Q&P Lab session (continued) b. Setup lab with initial layout (provided below) (see setup qty’s in doc) c. Have each station primed and ready to go with one of each variety
AC 2012-3641: FRESHMEN RESEARCH PROJECT: DESIGN, DEVEL-OPMENT, AND TESTING OF VARIABLE PITCH PROPELLER THRUSTMEASUREMENT APPARATUS - A CASE STUDYDr. Adeel Khalid, Southern Polytechnic State University Adeel Khalid, Ph.D., Assistant Professor Systems Engineering Program, Division of Engineering, Q-349, Southern Polytechnic State University, 1100 South Marietta Parkway, Marietta, GA 30060, Office: 678- 915-7241; Fax: 678-915-5527; Web: http://www.spsu.edu/systemseng/adeel khalid.htm; http://www.spsu.edu/aerospace/. Page 25.653.1 c American Society for Engineering Education, 2012
classroom,” Proceedings of the ASEE AnnualConference, 2003.14 Everett, L. J. and Villa, E. Q., “Assessment results of multi-intelligence methods used in dynamics,” Proceedingsof the ASEE Annual Conference, 2006.15 Everett, L. J. and Villa, E. Q., “Increasing success in dynamics course through multi-intelligence methods andpeer facilitation,” Proceedings of the ASEE Annual Conference, 2005.16 Bransford, J. D., Brown, A. L., and Cocking, R., editors. How People Learn: Brain, Mind, Experience, andSchool (Expanded Edition). National Academies Press, 2000.17 Kypuros, J. A. and Tarawneh, C., “Multimodal Modules for Non-Calculus-Based Engineering MechanicsCurriculum,” Proceedings of the Frontiers in Education Conference, 2008.18 Kypuros, J
planning another Tenure & Promotion Panel discussion and Q&A…. Do you have topics and issues you'd like to know more about? Send me your ideas that can help us plan the content and find the right panelists.The following are the inputs that were received from the member solicitation (E. Tetteh, personalcommunication, October 5, 2011):• Techniques, strategies, etc that have resulted in successful tenure and promotion• Promotion to full Professor• Faculty ~ Reappointment/ Promotion and Tenure• Shared University Governance• TECHNOLOGY Based discipline with respect to the "BOYER'S ~ model", which is Scholarship of "Teaching-Applied Research- Innovation/ Application and Integration"• How to divine [sic] out what my