Conference Session

Computers in ME

Collection

2003 Annual Conference

Authors

Sushil Chaturvedi

the venturimeter coefficient which in turn allows it to be used as a flow-measuring device. Thephysical experiment, shown in Fig. 1, involves measuring the pressure drop between the inlet andthroat sections of the venturimeter for a number of flowrates. The flow through the system isregulated by opening or closing a valve. The pressure reading in the piezometer tubes connectedto the inlet and the throat sections of venturimeter are recorded for the selected flowrate, and thecoefficient of venturimeter (cv) is calculated using the following equation. 2(P1 − P2 ) ρ Q&Actual = c v A2

Conference Session

Curriculum Development in EM ET

Collection

2003 Annual Conference

Authors

Sreenivas Sathyanarayana; Saravanan Rajendran; Robert Bolton

stepless variation ofthe flow rate. The MPYE thus controls the flow rate regard its magnitude and direction.The MPYE valve operates between 0 and 10V. At 5V input, the flow rate is disabled. Asthe voltage input is decreased from 5 to 0V, the flow rate increases in the negativedirection. As the input voltage is increased from 5V to 10V, the flow rate increases in thepositive direction. Figure 4 below illustrates the output of the MPYE proportional controlvalve. The potentiometer outputs a voltage proportional to the position of the slide. Thepotentiometer operates between 0 and 10V. Q(l/s) Q (l/s) 0 Voltage Input

Collection

2001 Annual Conference

Authors

William Davis; Steve Stafford; Elsa Villa

Session 1554 Discover Engineering Day: Collaborations in Pre-College Recruitment William C. Davis, Elsa Q. Villa, S. W. Stafford The University of Texas at El PasoAbstractAs engineering enrollments across the United States are on the decline, the College ofEngineering at the University of Texas at El Paso (UTEP) has shown a 7% increase each year forthe past four years. To address this enrollment gap, retention and recruitment programs mustexist symbiotically at an institution to attract students and retain them through graduation. TheDiscover

Collection

2001 Annual Conference

Authors

Leslie Crowley; Ray Price; Jonathan R. Dolle; Bruce Litchfield

Collection

2000 Annual Conference

Authors

Harry W. Blackwell; Charles N Eastlake

processof adjusting this set of Cost Estimating Relationship (CER) equations was begun by calculatingand tabulating the magnitude of various segments of the design and manufacturing process asgiven by the cost model. The equations break up the cost into eight major contributors:engineering hours, tooling hours, manufacturing hours, quality control hours, developmentsupport cost, flight test cost, cost of manufacturing materials, and engine production cost. Eachsegment is estimated by an equation generated by regression analysis of Department of Defensedatabase information. The equation for engineering labor hours is typical: Engineering labor hours, E = .0396 A .791 S 1.526 Q .183 where A = airframe weight in pounds

Conference Session

Special Topics

Collection

2002 Annual Conference

Authors

Ed McCaul; Alfred Soboyejo; Robert J. Gustafson

85 30.4%J Writing for professional journals 74 26.4%K Presenting a paper at a professional meeting 74 26.4%L Membership in a professional organization 71 25.4%M Web-based professional training 62 22.1%N Professional registration 47 16.8%O Conducting corporate training sessions 43 15.4%P Moving into supervisory positions 31 11.1%Q Holding an office in a

Conference Session

Computers in Education Poster Session

Collection

2002 Annual Conference

Authors

Ranjith Perera; Ali Akber

, | E g | sin d é | E g | cos d - Vt ù \ Ia = - jê ú Xs ë Xs ûWhere,Eg = alternator generated voltage, Vt= busbar voltage, X s= reactance, d= torque angle 3V t | E g | sin d Pout = 3V t | I a | cos q = Xs 3Vt | E g | cos d 3Vt 2 Qout = 3Vt | I a | sin q = - Xs Xs é Pout * X s ù d = sin -1 ê ú

Collection

2001 Annual Conference

Authors

Hosni Abu-Mulaweh

conditions thefollowing data was measured and recorded: hot water flow rate, cooling water flow rate, inlet andexit hot water temperatures T1 and T2, respectively, the inside metal wall temperatures at the inletand the exit, T3 and T4, respectively, and inlet and exit cooling water temperatures T5 and T6,respectively. This was carried out for several flow rates. In order to evaluate the enhancementtechniques, the same experimental procedure was repeated for the modified heat exchangers anddata was recorded for the same experimental conditions.There are several parameters that can be determined from these measurements, such as the heatduty Q, the overall heat transfer coefficient U, and the logarithmic mean temperature differenceLMTD, that can be

Collection

2001 Annual Conference

Authors

Frederick Reardon

." "TheInternet web site is very helpful and the use of e-mail for Q and A is quick and efficient."The students also had suggestions for additional web use, such as: "Have online quizzes ormultiple choice questions online, for terminology." Students report that they check the web siteoutside of class on a regular basis. They like to look at new note pages prior to class and again Page 6.651.3 Proceedings of the 2001 American Society for Engineering Annual Conference & Exposition Copyright  2001, American Society for Engineering Educationafter class. Some students print out new notes before class and use them for taking

Collection

2000 Annual Conference

Authors

Howard A. Canistraro

1.5 Stress Concentration FactorKf 1 q . ( Kt 1) Fatigue Stress Concentration Factor Kf = 1.1Kts 1.0 Torsional Stress Concentration FactorKfs 1 q . ( Kts 1) Torsional Fatigue Stress Concentration Factor Kfs = 1Geometric considerations of the shaft are defined as:r 0.5 in. Radius of the pinion shaft π .r 4I in 4 Area and polar moment of inertia of the shaft I = 0.049 in 4 4 π .r 4J in 4

Collection

2001 Annual Conference

Authors

Micheal Parten; Heath Keene

with in-phase and quadrature phase data for eachinputted symbol or, for FSK schemes, the output is the frequency, phase, and amplitude data for eachinputted symbol. The number of data points output by this VI corresponds directly to the number ofpoints used in the RF waveform generated by the next VI. The baseband modulation can be thought ofas the digital modulation phase of a modern communication system.The inputs to the RF Up-converter VI are the data created by the baseband modulator and the userdefined modulation technique. For PSK, QAM, and Generic I & Q techniques the data has in-phaseand quadrature phase information that relates to all of the symbols included in the input bit array. Theup-converter takes these data points and

Collection

1999 Annual Conference

Authors

Robert Vance; Gloria Elliott; Craig W. Somerton

pts) Page 4.309.3students are given some direction as to the measurement of transmissivity. Basically, they aretold to consider the physical situation shown below qrad,in qrad,outwhere the transmissivity is defined as q rad,out τ = q rad,inThen to measure the transmissivity the students must consider the following: 1. A way to produce a radiation heat flux 2. A way to measure the radiation heat flux 3. A way to separately determine qrad,in and qrad,outThe lecture concludes by demonstrating the equipment that is available

Collection

1998 Annual Conference

Authors

Siegfried M. Holzer; Raul H. Andruet

Page 3.521.3of all forces acting on the bar in equilibrium is zero about any point in the plane: (1) they draw a 3FBD of the bar and compute the reaction (see Manual in Fig. 8); (2) they select moment centersand compute the net moments; for example, they select the moment center Q, draw momentarms, and receive feedback for incorrect answers (see Note in Fig. 9) -- generally we provide oneclue before giving the solution; and (3) they are asked for the conditions of equilibrium of a bodyin a plane. The answer (Fig. 10) shows Euler’s extension of Newton’s conditions of equilibriumfor mass points to finite bodies.Testing. In the last stage of this learning cycle, the condition of moment equilibrium

Conference Session

Pre-College Engineering Education Division (PCEE) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jeanette Chipps, Montana State University ; Suzanne G Taylor, Montana State University; Nicholas Lux Lux, Montana State University; Elizabeth Nelson, Montana State University

Tagged Divisions

Pre-College Engineering Education Division (PCEE)

measure, including askingthe educators to consider what new knowledge of STEM broadly, and geospatial designspecifically they hope to see in their students. References1. Chen, CM., Wang, YH. (2015). Geospatial Education in High Schools: Curriculums, Methodologies, and Practices. In: Muñiz Solari, O., Demirci, A., Schee, J. (eds) Geospatial Technologies and Geography Education in a Changing World. Advances in Geographical and Environmental Sciences. Springer, Tokyo. https://doi.org/10.1007/978- 4-431-55519-3_62. Bodzin, A. M., & Fu, Q. (2014). The effectiveness of the geospatial curriculum approach on urban middle-level students’ climate change understandings. Journal of Science Education

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Seth K. Thompson, University of Minnesota, Twin Cities; Alyssa A Burger; Emily Goff, University of Minnesota - Twin Cities; Catherine Heremans; Christopher Hogan, University of Minnesota, Twin Cities; Gina Ristani, University of Minnesota, Twin Cities; Guadalupe Ruiz, University of California, Riverside; Basak E Uygun, Massachusetts General Hospital; Keisha Varma, University of Minnesota, Twin Cities

Tagged Topics

Diversity

Tagged Divisions

Biomedical Engineering Division (BED)

student research and transfer partnerships. New Dir. Community Coll. 2012, 97–110 (2012).4Appendix 1 : Boot Camp Agenda Day 1: Bio-preservation Boot Camp Kickoff and Course Instruction8:00 AM Transportation pick-up8:30AM Breakfast UCR | Highlander Union Building 2699:00 AM Intro to Research: Being a Researcher - Dr. Chris Hogan10:00 AM Welcome to ATP-Bio and Center Overview – Dr. John Bischof10:30AM ATP-Bio Research Overviews Part I12:00 PM Lunch |1:15 PM Institutional Training Administrative Breakout:1:45 PM ATP-Bio Research Overviews Part II - Activity rotations2:45PM REU Alumni Panel Q&A - REU Alumni3:30PM

Conference Session

Biomedical Engineering Division (BED) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Eisa A. Khawaja, Alpharetta High School; Hoda Ehsan, The Hill School

Tagged Divisions

Biomedical Engineering Division (BED)

, and P. Dario, “On the development of a novel adaptive prosthetic hand with compliant joints: experimental platform and EMG control,” 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1271-1276, IEEE, 2005. 11. R. Fourie, and R. Stopforth, “The mechanical design of a biologically inspired prosthetic hand, the touch hand 3,” pp. 38-43, IEEE, 2017. 12. Q. Luo, M. Bai, S. Chen, K. Gao, L. Yin, and R. Du, “Enhancing force control of prosthetic controller for hand prosthesis by mimicking biological properties,” IEEE Journal of Translational Engineering in Health and Medicine, 2023. 13. E. C. Prinsen, M. J. Nederhand, J. Olsman, and J. S. Rietman, “Influence of a user

Conference Session

K-12 and Pre-College Engineering Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Ramakrishnan Sundaram, Gannon University

Tagged Divisions

K-12 & Pre-College Engineering

partnershipagreements between the school/school districts and the University.Bibliography:[1] J. Marshall, “Establishing a High School/Engineering Partnership with a Simple Industrial Process Control Module,” Proceedings of the 2008 ASEE conference, Pittsburgh, PA, June 2008.[2] M. Barger et al., “Engineering an Elementary School Environment to Enhance Learning,” Proceedings of the 2008 ASEE conference, Pittsburgh, PA, June 2008.[3] R. Sundaram and Q. Zheng, “STEM-based Projects to integrate the Undergraduate ECE curriculum with the K-12 STEM Curriculum,” Proceedings of the 2010 ASEE conference, Louisville, KY, June 2010.[4] R. Sundaram, Fong Mak, and Sunil Tandle, “Virtual Instrumentation Interfaces for Real-Time Control and Display of Electric

Collection

2000 Annual Conference

Authors

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

Inc., PSPICE from MicroSim Corporation, LOGICWORKS III from Capilano Computing, C/C++, Visual Basic from Microsoft Corporationetc.) and test equipment. This CBVEL can also be accessed from remote sites using Internet. Page 5.162.1The CBVEL consists of IBM compatible computers with appropriate software and hardware(LabVIEW, HI-Q, Virtual Bench, PXI Systems, DAQ Cards, etc.) from National Instruments(NI), and is connected to School of Engineering Technology and Sciences (SETS) network andexisting equipment 1, 2. Virtual Instrument (VI) modules for different courses and research areasare currently developed. Examples of some of these VIs are

Conference Session

Student Engagement in ECE

Collection

2010 Annual Conference & Exposition

Authors

Maher Rizkalla, Indiana University-Purdue University, Indianapolis; MIchael Knieser, ILSI; Mohamed El-Sharkawy, Purdue University

Tagged Divisions

Electrical and Computer

Multidisciplinary Project:RF CMOS Voltage Controlled Oscillator (VCO) that is capable of generating an outputfrequency near 5GHz for monitoring neural and cardiac activities. The circuit topologyhas been chosen to achieve such high frequency with high Q-factor. The team project Page 15.974.6works on the transmitter circuit and its layout with L-Edit software is given. Thisincludes the prescribed inductances and capacitances required to achieve the designspecifications. Figures 4 and 5 show the schematics of an rf amplifier that was simulatedwith PSpice, and the result is given in figure 6. The results provide the 5 GHz VCO thatmeets the design specifications. The

Conference Session

Concurrent Paper Tracks - Session I

Collection

2015 ASEE International Forum

Authors

Takao Ichiko, Professional online

Tagged Topics

International Forum

. Page 19.2.33.1 Detailed Schemes in the Research There are different and more numerous types of questions and answers betweenlearners and teaching staff in the distance learning environment. Fig.1 shows anexample of questions and answers (denoted Q/As) from learners (denoted S1 to S4) andteaching staff (denoted T), respectively. For instance, there may be a volley of answersfor Q3 if it is assumed to be of the highest priority at a certain time during the process oflectures/seminars. It is more effective to timely enhance dynamics between learners andteaching staff by making the usage of shared space mobile Q/A integration. It is alsopossible for any S to get an answer for each question uploaded if it can be found andmatched in the knowledge

Conference Session

Track 1 - Session 2

Collection

2014 ASEE International Forum

Authors

Rockwell Franklin Clancy III, The University of Michigan-Shanghai Jiao Tong Joint Institute, Shanghai Jiao Tong University; Guangyu Zhang, Shanghai Jiao Tong University

Tagged Topics

Curriculum and Lab Development

Affairs Division of Dalian University of Technology, November 15 Page 20.28.6  http://teach.dlut.edu.cn/tsjyzx/tsk/1/%E7%A7%91%E6%8A%80%E8%BF%9B%E6%AD%A5%E7%B1%BB/13-1.doc.8 Luegenbiehl, H. 2004, “Ethical Autonomy and Engineering in a Cross-Cultural Context,” Techné: Research inPhilosophy and Technology, Vol. 8, No. 1.9 Cao, N. 2004, “Dui Zhong Guo Gao Xiao Gong Cheng Lun Li Jiao Yu De Si Kao,” (“Reflection on the Educationof Engineering Ethics in China”), Gao Deng Jiao Yu Gong Cheng Yan Jiu (Advanced Engineering EducationResearch), 5. Wang, Q. 2009, “Gong Kai Ke: Ke Xue Ji Shu

Conference Session

Writing and Communication I

Collection

2005 Annual Conference

Authors

Bill Chapman; John Brocato; Jim Harden

11.5 30% 46% Yes L 6 8.5 24% 34% Yes M 7.5 10 30% 40% Yes N 10 15 40% 60% Yes O 11 15.5 44% 62% Yes P 11 16.5 44% 66% Yes Q 7.5 14 30% 56% Yes R 6.5

Conference Session

ASEE Multimedia Session

Collection

2002 Annual Conference

Authors

Lee Robinson; Jody Finnegan; Gene Stuffle; D. Subbaram Naidu; Al Wilson; Jay Kunze

) 1985: First ABET Accreditation of BS in General Engineering program k) 1986: School of Engineering became College of Engineering l) 1987: MS in Measurement and Control Engineering m) 1987: PhD in Nuclear Science and Engineering n) 1988: Second ABET Accreditation of BS in General Engineering program o) 1990: BS in Engineering Management, a joint program with the College of Business p) 1990: BS in General Engineering changed to BS in Engineering q) 1993: MS in Environmental Engineering r) 1993: Measurement and Control Engineering Research Center s) 1994: Third ABET Accreditation of BS in Engineering program t) 1996: State Restrictions Removed to offer Civil, Electrical and Mechanical Engineering

Conference Session

NSF Grantees Poster Session

Collection

2002 Annual Conference

Authors

Sunanda Mitra

parallel at Texas Tech and The University of Missouri at Rolla. As part of thecurriculum development, courses were taught in adaptive optimization for signal processing, optimizationin information theory and coding, adaptive pattern recognition, neural network s and adaptive critics, andmathematical methods and algorithms for signal processing. Thirty-five graduate students and twelveundergraduate students were significantly involved in both the research and educational activitiesassociated with the program. Research activities were wide-ranging, and included optimized design oflossless and lossy compression for medical images, adaptive pattern recognition, segmentation, adaptivecritic designs, Q-learning, optimized blind source separation, fuzzy

Conference Session

Biomedical Engr. Design and Laboratories

Collection

2002 Annual Conference

Authors

Roger Gonzalez; Paul Leiffer

Session 2209understand that effective documentation of their results in published form is a critical part of thescientific process. Scientific knowledge must be disseminated.Students are then to prepare a 20-minute oral presentation with a ten minute question and answerportion. During this time they are to present not only their findings but also the entire processfrom speculation to final conclusions. After this process of “review” under Q&A from theprofessor, peer, and invited guests, it may be possible that if a serious deficiency is found in theexperimental or data analysis process, that portions of the experiment and/or analysis may needto be redone and an Errata and a corrected paper/poster presented to the professor.Educational

Collection

2022 ASEE St. Lawrence Section Annual Conference

Authors

Matilde Luz Sanchez-Pena, University at Buffalo, The State University of New York; Kelly Tenzek

, Accessed: Mar. 03, 2022. [Online]. Available: https://www.frontiersin.org/article/10.3389/fpsyg.2017.00716[6] K. E. Tenzek and B. M. Nickels, “End-of-Life in Disney and Pixar Films: An opportunity for Engaging in Difficult Conversation,” Omega, vol. 80, no. 1, pp. 49–68, Nov. 2019, doi: 10.1177/0030222817726258.[7] A. Kruisselbrink Flatt, “A Suffering Generation: Six Factors Contributing to the Mental Health Crisis in North American Higher Education,” Coll. Q., vol. 16, no. 1, 2013, Accessed: Mar. 29, 2021. [Online]. Available: https://eric.ed.gov/?id=EJ1016492[8] A. L. Montoya and L. L. Summers, “Dimensions of wellness for educators,” vol. 42, no. 1, p. 5, 2021.[9] J. Galecki, J. Parsons, and K. Cuoco

Collection

2024 ASEE North Central Section Conference

Authors

Bin Chen, Purdue University Fort Wayne

Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data MiningAugust (2016) 785–79412. Wang C., Wu Q., Weimer M., Zhu E.. FLAML: A Fast and Lightweight AutoML Library. (2019). https://arxiv.org/abs/1911.0470613. Ke G., Meng K., Finley T., Wang T., Chen W., Ma W., Ye Q., Liu TY. LightGBM: a highly efficient gradient boosting decision tree. NIPS'17: Proceedings of the 31st International Conference on Neural Information Processing Systems. (2017) 3149–315714. Prokhorenkova L., Gusev G., Vorobev A., Dorogush AV, Gulin A. CatBoost: unbiased boosting with categorical features. NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems

Collection

2013 Pacific Southwest Section Meeting

Authors

Bridget Benson; Bryan Mealy

virtual interaction. To maintain the course’s efficacy, the learningobjectives, problem assignments, quizzes, laboratory assignments, final design project, and finalexam all retain the same content as in-class instruction. Table 1 outlines how online tools willsubstitute for typical face-to-face interactions associated with in-class instruction. Table 1: Face to Face to Online Conversion Face to Face Online Tool In-Person Q&A on Video Lectures Moodle Forum (Q&A) In-Person Debug Support Moodle Forum (Debug) In-Class Quizzes Moodle Quiz In-Person Office Hours

Collection

2004 ASEE Midwest Section Conference

Authors

Lucas Howard; Jonathan Hayes; Pat Buford; Wayne Helmer

entrance of the mass airflowsensor. The following steps determine the velocity.First the supplied voltage and resistance of the resister must be known to determine the powerdissipated by the resistor, P. In most cases, 12 volts are supplied. The resistance (R) can bemeasured using a digital multi-meter (DMM).The equation to find P: P = V2/R.P = q, q is the energy removed by convection in a moving air stream.q = π d l h (Tw-T∞)Where:q - power dissipated Proceedings of the 2004 American Society for Engineering Education Midwest Section Conferenced - diameter of wirel - length of wireh – heat-transfer coefficientTw - temperature of wireT∞ – ambient air temperatureThe diameter, length, Tw, and T

Collection

2011 ASEE Midwest Section Conference

Authors

Robert Fithen

DiaPipe=DiaPipe/12; %feet LPipe=[.6]*ones(N,1); %feet Gamma=62.4; %lb/ft^3 rho=1.94; % slugs/ft^3 mu=2.34e-5 %UNITS? g=32.174 %ft/s^2 % % Assuming no correction on Venturi meter!!!! % Dsmall=1; %inches Dsmall=Dsmall/12; %feet Dlarge=2; %inches Dlarge=Dlarge/12; %feet Alarge=pi*(Dlarge/2)^2; %ft^2 Asmall=pi*(Dsmall/2)^2; %ft^2 Q=sqrt(2*DhV*Gamma/(rho*(1/Asmall^2-1/Alarge^2))); %CFS????? VPipe=Q./(pi*DiaPipe.^2/4); f=2*g*DiaPipe.*DhP./LPipe./VPipe.^2; Re=rho*VPipe.*DiaPipe/mu; % % Plot data on the Moody Diagram