Conference Session

ECE Capstone and Engineering Practice

Collection

2004 Annual Conference

Authors

Constantinos Panayiotou; Yu Song; Venkatraman Atti; Andreas Spanias

co s(Ω c ) − cos 2 (Ω c ) − k q 2 µ 2 z1 = , z2 = ; 1 + k q .µ 1 + k q .µ co s(Ω c ) + cos 2 (Ω c ) − k q2 cos(Ω c ) − cos 2 (Ω c ) − kq2 where p1 = , p2 = ; 1 + kq 1 + kq

Conference Session

Electrical & Computer Engineering Poster Session

Collection

2005 Annual Conference

Authors

Raymond Winton

 (2-4) N ( x) =   2  q ε S  dV C   J The pSPICE utility is then called upon to present a plot of 1/CJ2, as shown by figure 2-3b. Figure2-3a shows the test circuit. Voltage V(reverse) = VR has been stepped from 0 to 20 in increments of0.1V, and a frequency sweep from 1kHz to 2 kHz (relatively narrow range) has been invoked foreach value of V(reverse). Figure 2-3a shows the pSPICE R-C schematic that must be applied todefine C(V). Page 10.186.3Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition

Conference Session

Industrial Engineering Poster Session

Collection

2004 Annual Conference

Authors

Ramesh Narang

) Q = Quality T = Lead Time Employee motivation, training, and discipline C = Cost F = Flexibility Kaizen 5S Visual management Changing customer Elimination of waste demand

Conference Session

Energy Programs and Software Tools

Collection

2003 Annual Conference

Authors

Laura Genik; Craig Somerton

Page 8.1084.7Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright  2003, American Society for Engineering Education Figure 4 Diesel Cycle Output from TeachPistonResults of Piston-Cylinder Analysis # 1STATE T(K) P(kPa) V(cu.m) U(kJ/kg) S(kJ/kg) M(kg) 1 298.0 100.0000 .1200E-02 .00 5.41 .1397E-02 Polytropic Process: W = .3107 kJ Q = -.2324 kJ n = 1.1000 I = .026 kJ 2 375.2 1258.9260 .1200E-03 56.06

Collection

2000 Annual Conference

Authors

Thad Welch

students will re-examine the 16-QAMmodulator from an implementation perspective. A simplified block diagram of a 16-QAMbaseband modulator is provided in figure 1. Page 5.106.1Note: the students are not given a parts list to draw from. However, components are availablefrom several labs and the general parts rooms for the EE department. D/A conv I channel data serial data source to parallel D/A conv Q channel dataFigure 1. 16-QAM baseband modulator block diagram.A group

Collection

2001 Annual Conference

Authors

Kevin Renken; George Abraham

) to the pressure gradient. K A∆p Q=− (1) µLwhere, Page 6.488.3 Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition Copyright  2001, American Society for Engineering Education Q = volumetric flow rate of the fluid K = permeability coefficient A = cross-sectional area permeated ∆p = pressure difference across the porous

Conference Session

NSF Grantees' Poster Session

Collection

2012 ASEE Annual Conference & Exposition

Authors

Douglas H. Timmer, University of Texas, Pan American; Miguel Gonzalez, University of Texas, Pan American; Connie M. Borror, Arizona State University, West; Douglas C. Montgomery, Arizona State University

Tagged Topics

NSF Grantees Poster Session

!9$5!%-1$!+#-+!6$).',5$)!+#$!2-/&*-.+&',/1!%3-/+:!!"#$!I(&)$!J-.+('8!9$5),+$!.(/+-,/)!-!%3-/+!3-8(&+F!5,33!(*!2-+$',-3)!-/6!%-'+)!3,)+):!!"#$!5,33)!(*!2-+$',-3)!-/6!%-'+)!3,)+!.(/+-,/!,2%('+!7&-3,+8!,/*('2-+,(/!&)$6!+(!.(2%3$+$!+#$!3$-'/,/1!-)),1/2$/+):!!K/,7&$!.(/*,1&'-+,(/)!*('!$-.#!)+&6$/+!-'$!.'$-+$6!-/6!)+('$6!,/!-!I8@LM!6-+-5-)$:!!N$545-)$6!-%%3,.-+,(/)!*('!$-.#!3$-'/,/1!2(6&3$!-'$!.'$-+$6!&),/1!O-0-!@$'0$'!J-.$)!GO@JH!+$.#/(3(18:!!!O@J!-33(9)!P)2-'+Q!9$5!-%%3,.-+,(/)!+#-+!)$%-'-+$!+#$!%'$)$/+-+,(/!(*!,/*('2-+,(/!*'(2!6-+-!%'(.$)),/1:!!A/*('2-+,(/!,)!%'$)$/+$6!&),/1!)$'03$+)!-/6!O-0-!@$'0$'!R-1$)!-/6!6-+-!%'(.$)),/1!,)!,2%3$2$/+$6!,/!O-0-=$-/):!!O@J!-33(9)!+#$!&)$!(*!OS=T!+(!-33(9

Collection

2001 Annual Conference

Authors

Raghu Korrapati; Nikunja Swain; Mrutyunjaya Swain; James A. Anderson

installed in differentports of this PXI system. The Gateway computers are equipped with LabVIEW, HI-Q, and othersoftware. The Hi-Q software can be used to perform advanced mathematical analysis. The student andfaculty use these computers for simulation purposes. b. Application Areas of LabVIEW SoftwareThe following are some of the application areas of LabVIEW8, 9:Simulation; Data Acquisition; Data Processing - built in analysis library that includes signal generation,measurement, filters, windows, curve fitting, probability and statistics, linear algebra, numericalmethods; Instrument and Control; Object oriented/graphical programming; Fuzzy Logic; GeneticAlgorithm; and Joint Time and Frequency Analysis. Fuzzy Logic, Genetic Algorithm

Collection

2001 Annual Conference

Authors

Charles Nippert

. . Linear interpolation is used to provide intermediate valuesto minimize calculation time. Additional thermodynamic properties (molar heat capacity,density, etc.) are estimated by linear interpolation of pure component values.ReboilerWhen the reboiler is below the boiling point, the reboiler heat balance is described by: dT n rCp r = Q (1) dt where Cp = the molar heat of the material in the reboiler (joule/gmoleK) nr = the moles in the reboiler (gmole) Q = heat input, taken to be the power input to reboiler (W) Tr = reboiler temperature (K) t = time (sec)Proceedings of the 2001 American

Collection

2000 Annual Conference

Authors

Igor M. Verner; Jacob E. Mendelssohn; David J. Ahlgren

r ! q v v t q $ r y r p à ! r à Tqr x q $ à r v @tvrr v Q v y

Collection

1998 Annual Conference

Authors

Kenny Fotouhi; William Cavey

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

Collection

1998 Annual Conference

Authors

Mark A. Palmer; Gary E. Wnek; John B. Hudson

,QFODVVZHGHULYHWKHFRQGLWLRQIRUFUDFNJURZWKDQG $VLOLFDTXDUW]EDUZLWKDFURVVVHFWLRQDOEULWWOHIDLOXUHUHLQIRUFLQJDWKH DUHDRIFPIDLOVXQGHUDORDGRI1GXHPDWKHPDWLFVDQGSK\VLFDOFRQFHSWV WRWKHSUHVHQFHRIDFUDFNPLQOHQJWKXVHGWRGHULYHWKHFULWLFDOUDGLXVIRUDQ D $VVXPLQJWKHFUDFNWLSUDGLXVLVQPXQGHUFRROHGVROLG7KLVDOORZVRQHWR SUHGLFWWKHPLQLPXPFURVVVHFWLRQDOVKRZWKDW.,&LVDPDWHULDOSURSHUW\,Q DUHDUHTXLUHGIRUDQVLOLFDEDUWRWKLVSUREOHPVWXGHQWVDUHJLYHQ PDLQWDLQDORDGRI1ZLWKRXW§H[SHULPHQWDO¨GDWDDVNHGWR IDLOLQJZKHQWKHVDPSOHKDVFUDFNV PLQOHQJWKSUHVHQWLQWHUSUHWWKLVGDWDDVNHGWRDSSO\WKHUHVXOWVRIWKLVDQDO\VLVWRDGHVLJQ E

Collection

1998 Annual Conference

Authors

Hamid Khan

meetthe following needs of manager's development:Need for managerial development and learning strategies for effectivenessNeed for corporate education for global competitivenessNeed for professional development, promotion and successionNeed for managers' lifelong learningNeed for program evaluation and review for effectiveness, andNeed for bridging theory and practice for effective decisions.The data collection for evaluation was made by the use of following instruments.Evidence of the validity and reliability of the instruments was ascertained from publishedresults.(1) Instrument Set-1 / Q-1. Knowledge, Skills, Attitude Instrument (Harvard Study)(2) Instrument Set-1 / Q-2. Hersey and Blanchard's Leadership Effectiveness and AttitudeDescription

Conference Session

NSF Grantees Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Andrew J. Ash, Oklahoma State University; James E Stine, Oklahoma State University; Erin Dyke, Oklahoma State University; John Hu, Oklahoma State University

Tagged Topics

NSF Grantees Poster Session

faculty and • Four participants requested more time for graduate student facilitators for facilitator-led times to work through examples as a Q&A on complex topics cohort during the exit interview. • “Unexpected personal development learning by interaction with individuals and groups in this type of setting are what I look forward to in this type of “Peer-to-Peer Support” professional development environment.” (Week 3) Participants will benefit from • “Have one day a week where the class eats lunch additional time for socializing together provided by the program

Conference Session

Innovative Teaching Methods and Learning Models

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ahmed Cherif Megri, University of Wyoming

Tagged Divisions

Division Experimentation & Lab-Oriented Studies

pressure and Blower Door fan flow readings. It's specialized "Baseline" and"CFM @50" features makes it extremely easy to get quick and accurate airtightness test results. Using adoor screen, a variable speed blower was used to change the airflow through the envelope and theelectronic monometer (DG-700) was used to record the pressure differentials and air-flow rates betweenthe room and the hallway.Air infiltration can be calculated using the power law equation where Q is the airflow rate, C is the flowcoefficient, ΔP is the pressure differential and n the power coefficient. Q  C.P nThis equation shows how much air is leaked to the outside surrounding and how air infiltration varieswith respect to a

Collection

1997 Annual Conference

Authors

Holly G. Peterson

1.63 x 100 1.22 x 100 2.45 x 100 1.77 x 100 (µg/m3)* The sampler at Location # 2 malfunctioned during Experiment # 1. The tracer data provided a quantitative and qualitative picture of the dilution of pollutantsin this alcove under these meteorological conditions, but additional calculations were performedto relate the results to concepts of ventilation and risk analysis. An average ventilation rate (Q)for the alcove with units of m3/s was estimated from the average concentration in the alcove(CSF6) using the box model equation for conservation of mass: Q = QSF6 / CSF6; where unitson the release rate are ug/s, and units on concentration are ug/m 3. In addition, steady-stateconcentrations of specific pollutants (Cp

Conference Session

Mechanical Engineering Laboratories I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Charles Forsberg, Hofstra University

Tagged Divisions

Mechanical Engineering

, the flow area A2 of the nozzle exit, the density ρ of the fluid, and the volumetric flowrate Q of the fluid. (Why did we choose these parameters? Well, hindsight is great. Weactually performed the experiment and found that this choice of parameters was consistent withthe data.) Hence there are five parameters in the problem.The dimensional analysis technique 1, 2 will enable us to reduce the problem to one of only twodimensionless groups. These groups are determined via the Buckingham Pi method to be: andThis means that the dimensionless group is a function of .The following describes the determination of these pertinent dimensionless groups for thisproblem:We wish to determine how the

Conference Session

Using IT to Enhance Design Education

Collection

2002 Annual Conference

Authors

Stephen Kampe

insulation are well known and documented. 4 Whenconsidering a replacement material for applications associated with the insulation of hotwater-based heating systems, a traditional engineering approach would likely focus onidentifying materials which offer comparable or better performance (more insulating) at acomparable or lower initial cost. That is, trade-offs between initial and operational costs aretypically explored.A crude illustration of the engineering problem is shown in Fig. 1. Consider insulation ofthickness Dr applied to the exterior surface of a pipe. An estimation of the per-area steady- *state heat losses, Q (e.g., J/m2), over a defined lifetime Dt

Conference Session

Unique Lab Experiments

Collection

2002 Annual Conference

Authors

Terrance O'Connor; Nghia Le

: 2f0 = 2pRC Proceedings of the 2002 American Society for Engineering Education Annual Conference & Exposition Page 7.924.7 Copyright©2002, American Society for Engineering EducationSince the desired center frequency is 4.82kHz, let C be 0.0039mF, then: 2R= = 11.97 kW 2p (4.82kHz )(0.0039mF )We use 12kW for R14, R16, and R 17. 2The Q value of the circuit is: Q= 4-KWhere K is closed-loop gain of the Noninverting Amplifier section of the circuit. In the filter, thedesired

Collection

ASEE Mid-Atlantic Section Spring Conference

Authors

Rajarajan Subramanian, Pennsylvania State University, Harrisburg, The Capital College; Sofia M Vidalis, Pennsylvania State University, Harrisburg, The Capital College

Tagged Topics

Diversity

Technology”, researchers have developed an AI-powered socio-technical system for making online learning in higher education more affordable, accessible, andachievable. In particular, they have developed original and interweaved AI technologies such asVERA, a “Virtual experimentation research Assistant” for supporting inquiry-based learning ofscientific knowledge, and Jill Watson Q&A, a virtual teaching assistant for answering questionsbased on educational documents including VERA’s user reference guide.“VERA” helps learners build conceptual models of complex phenomena, evaluate them throughsimulation, and revise the models as needed. VERA’s capability of evaluating a model bysimulation provides a formative assessment of the model; its support

Collection

2024 ASEE North Central Section Conference

Authors

Joseph George, Western Michigan University; Ajay Gupta, Western Michigan University; Alvis Fong, Western Michigan University

save time in defining the accurate model for the data chosen. Theexperiment was run on a Michigan State University cluster having one NVIDIA A100GPU, Intel XEON CPU with 36GB of allocated memory. Amino acid Accuracy Time duration A 0.706 00h 47m 06s R 0.564 01h 53m 16s N 0.654 03h 07m 00s D 0.651 01h 31m 36s C 0.939 01h 28m 31s Q

Collection

2022 ASEE St. Lawrence Section Annual Conference

Authors

Shivaun D Archer, Cornell University

. The calculations of average velocity were done using Microsoft Excel.The students also worked on a theoretical model of the network using MATLAB® to predictpressure, volumetric flow, and velocity in each channel and compared them with theexperimental results. Since the 1st year students were just learning MATLAB®, a MATLAB®code was given to them. The MATLAB® code used Poiseuille’s equation for a rectangularchannel, ΔP = 12µQL/wh3 where µ = viscosity, Q = volumetric flowrate, L = length of channel,w = width of channel and h = height of channel and a global nodal and channel matrix based onthe number of channels and nodes. They were expected to follow the logic of the code. The codecalculated the individual channel flow rates and pressure in

Collection

15th Annual First-Year Engineering Experience Conference (FYEE)

Authors

Paul Marcus Anderson, University of Maryland College Park; Catherine Marie Hamel, University of Maryland, College Park

strategy to enhance students’ critical thinking,” Educ. Res. Q., vol. 36, no.4, pp. 3-24, 2013.

Collection

15th Annual First-Year Engineering Experience Conference (FYEE)

Authors

Samantha Kennedy, University of Minnesota - Twin Cities

“right answer”. This is essential inallowing participants to sit with where they are and think of strategies for how they can grow orchallenge themselves to do something differently.Outline:Activity 1: Welcome & Background (15 minutes)Activity 2: Social Identity (20 minutes)Activity 3: Comfort Zones (20 minutes)Activity 4: Guided Small Group Discussion (20 minutes)Activity 5: Q&A and Conclusion (15 minutes)

Collection

2024 CIEC

Authors

Jungwon Ahn

. iii) incorporating necessary equations and calculus while minimizingcomplexity.In this light, the utilization of end-of-semester case study presentations in fluid-thermo coursesoffers several benefits. Throughout the semester, instructors prioritize applied fluid-thermoconcepts. In addition, it allows students to study deeper into topics of interest, includingconcepts, equations, applications, and emerging technologies. Moreover, students gain valuableinsights from peers’ presentations while receiving feedback and detailed explanations frominstructors during Q&A sessions. Additionally, these presentations inspire the development ofnew labs for continuous course improvement in subsequent semesters. The survey and courseevaluations results

Collection

2002 ASEE North Midwest Section Conference

Authors

George A. Perdikaris

convenient to design the analogcontrol system prototype first. The analog control system is then converted into its digitalcounterpart by adding appropriate interface devices and controller gains.It is assumed that the motor feedback is monitored by an incremental encoder (MPG), which returnschange in position (i.e., velocity) per sampling time T; it is also assumed that the controller output iscommunicated to the analog plant via a DAC.An analog motor plant is often modeled by a double-integrator transfer function Q( s ) Km Gp (s) = = 2 (1) M (s) swhere Q(s

Collection

2013 ASEE Midwest Section Conference

Authors

Tom C. Roberts; Shagun Sharma

sidewalk improvements, vending and Café Q food service improvements, building security, and promotion of design team membership. 4TOM C. ROBERTS, P.E., FASEE, FNSPEAssistant Dean, Recruitment and Leadership Development, College of Engineering, Kansas State UniversityTom has more than 30 years experience in planning, organizational development, and leadership training programs.He worked for Black & Veatch for 16 years, formed Upward Consulting in 1989 and has served as a learning organ-ization and process improvement consultant for a number of manufacturing and service companies, and

Collection

2006 ASEE Midwest Section Conference

Authors

Ing-chang Jong P.E.

" 3 x 1 < x − a > n +1 ∫ −∞ < x − a > n dx = n +1 if n ≥ 0 (3) x ∫ −∞ < x − a > n dx = < x − a > n +1 if n<0 (4)Based on the sign conventions and the singularity functions defined above, we may write theloading function q, the shear force V, and the bending moment M for the beam ab in Fig. 1 asfollows:1,2

Collection

2009 Pacific Southwest Section Meeting

Authors

Lora Goodwin; Brian P. Self; James Widmann

  [%]  [%]  [%]  [%]  Q 18 26.7  45.6  25.74  MEA in Coursework  41.1  Q 20 47.6  77.2  56.48  Q 18 19.1  32.2  16.18  No MEA's in Coursework  14.8  Q 20 50.9  57.5  13.37 Students in the AL sections who completed the Accident Reconstruction MEA in their dynamicscourse showed an average normalized gain of 41.1% improvement in their scores on the DCIquestions relating to impact. These same students showed an average normalized gain of 29.4%on all remaining DCI

Collection

2015 St.Lawrence Section Meeting

Authors

Tun Zhang; Ji Yang

Commonly about 50kW for Homes estimating λ(t) becomes that of estimating the parameters p, q, d, ai’ and  Signal processing analysis bi .Table 1. The Charging Level of EVs What if the cars waiting to be charged is not zero? St=St-1-αt-1+Dt is REFERENCES used. Dt is the number of vehicles arriving during the time interval t and IMPACT OF EVs ON THE GRID